Neuroinflammation
Neuroinflammation
Edited by
Alireza Minagar
AMSTERDAM • BOSTON • HEIDELBERG • LONDON • NEW YORK ...
52 downloads
1445 Views
17MB Size
Report
This content was uploaded by our users and we assume good faith they have the permission to share this book. If you own the copyright to this book and it is wrongfully on our website, we offer a simple DMCA procedure to remove your content from our site. Start by pressing the button below!
Report copyright / DMCA form
Neuroinflammation
Neuroinflammation
Edited by
Alireza Minagar
AMSTERDAM • BOSTON • HEIDELBERG • LONDON • NEW YORK • OXFORD PARIS • SAN DIEGO • SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO
Elsevier 32 Jamestown Road London NW1 7BY 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA First edition 2011 Copyright © 2011 Elsevier Inc. All rights reserved No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publisher’s permissions policies and our arrangement with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein). Notices Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary. Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility. To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein. British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library Library of Congress Cataloging-in-Publication Data A catalog record for this book is available from the Library of Congress ISBN: 978-0-12-384913-7 For information on all Elsevier publications visit our website at elsevierdirect.com This book has been manufactured using Print On Demand technology. Each copy is produced to order and is limited to black ink. The online version of this book will show color figures where appropriate.
Preface
During the past two decades the scientific community has witnessed many major achievements and technical advances in our knowledge and understanding of the fundamental molecular mechanisms underlying various neuroinflammatory disorders affecting the human nervous system. The major players in the pathogenesis of these complex and intriguing neuroinflammatory and neurodegenerative disorders include activated immune cells, endothelial cells, immune cells resident within the central nervous system (CNS), and effects of several recently identified immunomodulators, cytokines and chemokines, which initiate and sustain the underlying pathologic processes of these often enigmatic disorders. Scientists around the world, through innumerable collaborative studies, have partially determined the diverse roles of these players in the course of neuroinflammation and are now applying this wealth of information toward the development of more potent and specific and less dangerous therapies for these difficult-to-treat diseases. The main objective of this book, entitled Neuroinflammation, is to provide interested readers with the most up-to-date and detailed reviews of current scientific concepts of neuroinflammation, with extensive updates on the most recent concepts on the pathogenesis of these CNS diseases. The core emphasis of this series of reviews on basic and clinical features of neuroinflammation will be of interest to a broad continuum of both basic scientific researchers and clinical scientists. Neuroinflammation is a rapidly expanding field, and our collection on this topic represents an educational tool that can assist students, scientists, and clinicians around the planet to better understand, diagnose, and treat these complex diseases. I very much appreciate the scholastic efforts of several wonderful contributors to this book, who made Neuroinflammation a reality and provided us with their excellent chapters on various topics. I also appreciate the efforts of Mr. Paul Prasad Chandramohan and the hardworking staff at Elsevier’s publishing production team, who provided us with their support and expertise during the production of this book. I hope that my colleagues will find this book to be a useful resource in their continuous research into the fundamental concepts of neuroinflammation. Alireza Minagar, MD, FAAN
Contributors
J. Steven Alexander Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA Peter O. Behan Division of Clinical Neuroscience, Faculty of Medicine, University of Glasgow, Glasgow, Scotland, UK; School of Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, UK Aimee Borazanci Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA Isabel Bosca Neuroimmunology Unit, Centre for Neuroscience and Trauma, Blizard Institute of Cell and Molecular Science, Barts and the London School of Medicine and Dentistry, London, UK; Neurology Department, La Fe University Hospital, Valencia, Spain Hermine Brunner Division of Rheumatology, Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio (HB) Abhijit Chaudhuri Department of Neurology, Queen’s Hospital, Romford, Essex, England, UK Tiffany Chang Department of Neurology, Tulane University School of Medicine, New Orleans, LA, USA Andrew L. Chesson Jr. Sleep Medicine Program, Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA Xi Chen Department of Physiology, Emory University School of Medicine, Atlanta, GA, USA Paweł Cies´ lik Department of Internal, Autoimmune and Metabolic Diseases, Medical University of Silesia, Katowice, Poland Randall J. Cohrs Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA Natalie Cornay Louisiana State University School of Medicine, Shreveport, LA, USA Robin Davis Louisiana State University School of Medicine, Shreveport, LA, USA Francesco Deleo Division of Epilepsy, Clinic and Experimental Neurophysiology, IRCCS Foundation Neurological Institute C. Besta, Milano, Italy
xvi
Contributors
Gabriele Di Comite Department of Immunology, National Institute of Neuroscience, Tokyo, Japan Ludovico D’Incerti Department of Neuroradiology, Neurological Institute C. Besta, Milano, Italy
IRCCS
Foundation
Donard S. Dwyer Department of Psychiatry, Louisiana State University Health Sciences Center, Shreveport, LA, USA; Department of Pharmacology, Toxicology and Neuroscience, Louisiana State University Health Sciences Center, Shreveport, LA, USA Masoud Etemadifar Isfahan Research Committee of Multiple Sclerosis (IRCOMS), Isfahan, Iran; Department of Neurology, Isfahan University of Medical Sciences, Isfahan, Iran Clare Fraser The National Hospital for Neurology and Neurosurgery, London, UK; Moorfields Eye Hospital, London, UK; St Thomas’ Hospital, London, UK Don Gilden Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA; Department of Microbiology, University of Colorado School of Medicine, Aurora, CO, USA Gavin Giovannoni Neuroimmunology Unit, Centre for Neuroscience and Trauma, Blizard Institute of Cell and Molecular Science, Barts and the London School of Medicine and Dentistry, London, UK Eduardo Gonzalez-Toledo Department of Radiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA; Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA D. Neil Granger Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA Viktoria Gudi Department of Neurology, Hannover Medical School, Hannover, Germany Meghan Harris Department of Neurology, Louisiana State University School of Medicine, Shreveport, LA, USA Antoni Hrycek Department of Internal, Autoimmune and Metabolic Diseases, Medical University of Silesia, Katowice, Poland Stephen Jaffe Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA Edward Johnson Louisiana State University School of Medicine, Shreveport, LA, USA Roger E. Kelley Department of Neurology, Tulane University School of Medicine, New Orleans, LA, USA
Contributors
xvii
Marisa Klein-Gitelman Division of Rheumatology, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL (MKG) Cesar Liendo Department of Physiology, Emory University School of Medicine, Atlanta, GA, USA Alexandra Lopez-Soriano Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, NY, USA Amy E. Lovett-Racke Department of Neurology, Ohio State University Medical Center, Columbus, OH, USA; Department of Molecular Virology, Immunology and Medical Genetics, Ohio State University Medical Center, Columbus, OH, USA Amir-Hadi Maghzi Neuroimmunology Unit, Centre for Neuroscience and Trauma, Blizard Institute of Cell and Molecular Science, Barts and the London School of Medicine and Dentistry, London, UK; Isfahan Research Committee of Multiple Sclerosis (IRCOMS), Isfahan, Iran; Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran Monica Marta Neuroimmunology Unit, Centre for Neuroscience and Trauma, Blizard Institute of Cell and Molecular Science, Barts and the London School of Medicine and Dentistry, London, UK Ravi Mahalingam Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA Nicholas E. Martinez Department of Microbiology and Immunology, Louisiana State University Health Sciences Center, School of Medicine in Shreveport, Shreveport, LA 71130, USA Rae Ann Maxwell Medical Science Liaison, Biogen Idec Neurology, US Medical Affairs Jeanie McGee Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA David E. McCarty Sleep Medicine Program, Department of Neurology, Louisiana State University Helath Sciences Center, Shreveport, LA, USA Ute-Christiane Meier Neuroimmunology Unit, Centre for Neuroscience and Trauma, Blizard Institute of Cell and Molecular Science, Barts and the London School of Medicine and Dentistry, London, UK Mandana Mohyeddin Bonab Department of Immunology and the Molecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran Alireza Minagar Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA
xviii
Contributors
Mutsumi Nagai Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA Maria A. Nagel Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA Behrouz Nikbin Department of Immunology and the Molecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran Eileen M. O’Connor Medical Science Liaison, Biogen Idec Neurology, US Medical Affairs Seiichi Omura Department of Microbiology and Immunology, Louisiana State University Health Sciences Center, School of Medicine in Shreveport, Shreveport, LA 71130, USA Magdalena Olszanecka-Glinianowicz Department of Pathophysiology, Medical University of Silesia, Katowice, Poland Parrin Patterson Department of Psychiatry, Louisiana State University Health Sciences Center, Shreveport, LA, USA Gordon T. Plant The National Hospital for Neurology and Neurosurgery, London, UK; Moorfields Eye Hospital, London, UK; St Thomas’ Hospital, London, UK Refik Pul Department of Neurology, Hannover Medical School, Hannover, Germany Brain Rubin Department of Neurology, Louisiana State University School of Medicine, Shreveport, LA, USA Amy C. Rauchway Department of Neurology and Psychiatry, Saint Louis University School of Medicine, St. Louis, MO, USA Michael K. Racke Department of Neurology, Ohio State University Medical Center, Columbus, OH, USA; Department of Molecular Virology, Immunology and Medical Genetics, Ohio State University Medical Center, Columbus, OH, USA; Department of Neuroscience, Ohio State University Medical Center, Columbus, OH, USA Mohammad-Reza Savoj Isfahan Research Committee of Multiple Sclerosis (IRCOMS), Isfahan, Iran Fumitaka Sato Department of Microbiology and Immunology, Louisiana State University Health Sciences Center, School of Medicine in Shreveport, Shreveport, LA 71130, USA Robert N. Schwendimann Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA
Contributors
xix
Yadollah Shakiba Department of Immunology and the Molecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran Thomas Skripuletz Department of Neurology, Hannover Medical School, Hannover, Germany Karen Small Louisiana State University School of Medicine, Shreveport, LA, USA Martin Stangel Department of Neurology, Hannover Medical School, Hannover, Germany Malú G. Tansey Department of Physiology, Emory University School of Medicine, Atlanta, GA, USA Corinna Trebst Department of Neurology, Hannover Medical School, Hannover, Germany Ikuo Tsunoda Department of Microbiology and Immunology, Louisiana State University Health Sciences Center, School of Medicine in Shreveport, Shreveport, LA 71130, USA Elke Voss Department of Neurology, Hannover Medical School, Hannover, Germany Yuhong Yang Department of Neurology, Ohio State University Medical Center, Columbus, OH, USA; Department of Molecular Virology, Immunology and Medical Genetics, Ohio State University Medical Center, Columbus, OH, USA Robert Zivadinov Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, NY, USA; Department of Neurology, The Jacobs Neurological Institute, State University of New York, Buffalo, NY, USA
1 Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
Amir-Hadi Maghzi1,2,3, Aimee Borazanci4, Jeanie McGee4, J. Steven Alexander5, Eduardo Gonzalez-Toledo4,6, Alireza Minagar 4 1
Isfahan Research Committee of Multiple Sclerosis (IRCOMS), Isfahan, Iran Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran 3 Neuroimmunology Unit, Centre for Neuroscience and Trauma, Blizard Institute of Cell and Molecular Science, Barts and the London School of Medicine and Dentistry, London, UK 4 Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA 5 Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA 6 Department of Radiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA 2
Introduction Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease of the central nervous system (CNS), which largely affects young adults with certain genetic backgrounds, often following exposure to several as yet unidentified environmental antigen(s) [1,2]. It is believed that the interactions between environmental and genetic influences are required to trigger the massive immune response against putative CNS antigens (e.g., myelin proteins that surround axons). This progressive inflammatory process affects both gray and white matters of the brain and spinal cord and ultimately causes neurodegeneration and axonal loss, with resultant permanent disability. Inflammatory demyelination in MS slows impulse conduction or leads to complete cessation of nerve impulse transmission. Axonal loss and neurodegeneration are the fundamental mechanisms underlying brain atrophy and permanent loss of motor function. The lesions of MS can affect any region of the neuroaxis; therefore, the anatomic location of MS lesions plays a significant role in determining clinical symptoms. Based on the clinical disease pattern, four types of MS are recognized: relapsing– remitting MS (RRMS), secondary progressive MS (SPMS), primary progressive Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00001-0 © 2011 Elsevier Inc. All rights reserved.
2
Neuroinflammation
MS (PPMS), and progressive relapsing MS (PRMS) [3]. Interestingly, it appears that these four different forms of MS have dissimilar underlying neuropathologies, which in turn indicates that MS may represent a heterogeneous group of related diseases. The clinical course of RRMS is characterized by clear disease relapses with development of new neurologic deficits or worsening of older symptoms that last more than 24 h; each relapse is typically separated from the last attack by at least 1 month of stability. Patients with relapse of MS, either with treatment with corticosteroids or spontaneously, may return to their baseline neurologic status or may recover partially, with residual neurologic deficits. Usually, during the interval between relapses there is no clinical disease progression. Clinically, RRMS is the most common form of MS; more than 85% of patients initially present with this form. SPMS is recognized by an initial RRMS that progresses to SPMS within 10–15 years. During this phase of MS, the underlying inflammatory cascade and clinical relapses decrease in severity, while the neurodegenerative process builds to become the dominant pathology. In certain ways, SPMS may be regarded as a long-term product of RRMS. Up to 15% of MS patients initially present with PPMS, which is characterized by a relentless progression with no obvious relapses; patients occasionally exhibit transient minor improvement. PRMS is characterized by progressive and devastating attacks of the disease from the beginning with acute relapses, with or without recovery. Importantly, the intervals between relapses are marked by continuous disease progression. This form of MS is the least common clinical form. The most common form of MS, RRMS, begins with a single unifocal or multifocal demyelinating attack (known as clinically isolated syndrome [CIS]), with a complete or partial resolution of the attack. This form of MS with its dominant neuroinflammatory sequelae is clinically recognized by relapses and development of new lesions on magnetic resonance imaging (MRI) studied by CNS neuroimaging. Of course, during this process, the neurodegenerative arm of MS continuously proceeds with progressive axonal and neuronal loss to the point that the patient’s capacity to sustain any new attacks without suffering additional disability decreases. Within a few years of the onset of RRMS, the underlying neuropathology of MS involves more neurodegeneration with fewer clinical relapses, more clinical deterioration, and accumulating disability. Patients with PPMS have a progressive course from the beginning without significant evidence of inflammatory lesions on CNS neuroimaging and with no proven therapeutic response to immunomodulatory medications as compared to RRMS.
Epidemiology The diverse worldwide epidemiology of MS provides clues to the genetic and environmental risk factors for MS. The observations from migrant studies showing that migration from high- to low-risk areas before puberty provides some protection against developing MS, and vice versa, highlight the importance of environmental factors in MS [4]. The highest incidence and prevalence of MS are more likely to be observed at the highest latitudes in both the northern and southern hemispheres.
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
3
In addition, the prevalence and incidence of MS are shown to be associated with the distance from the equator [5]. This has been mostly linked to the effects of sunlight exposure and vitamin D, leading to the formulation of a hypothesis that vitamin D deficiency may enhance the risk of MS; this hypothesis was later strengthened by further immunologic studies [6]. In addition, similarities between the epidemiology of MS and primary Epstein–Barr virus (EBV) infection (infectious mononucleosis [IM]) have been well documented, and several studies have shown that the risk of MS is elevated after IM, which has led to a growing body of evidence linking EBV to MS [7]. MS is also observed more commonly among smokers, those of higher socioeconomic class, and those with low dietary vitamin D intake [8–10]. The epidemiology of MS has been changing during recent decades. Generally, there has been an increase in the prevalence and incidence of MS worldwide, especially in previously low-risk regions such as the Middle East [5,11]. This has been partly attributed to the better diagnosis of MS secondary to enhanced diagnostic criteria, an increase in the number of neurologists, more availability of disease-modifying drugs, enhanced awareness, and more widespread use of MRI. However, these factors cannot fully explain the increase in the prevalence of MS. It is plausible that changes in lifestyle and environmental exposures have also contributed to the increase in the prevalence and incidence of MS. More evidence comes from studies that have documented an increase in the sex ratio of MS during recent decades in different parts of the world [5,12,13]. Since all these changes have occurred during a short period, they are more likely due to environmental changes rather than genetic ones. For instance, in Western countries, where smoking has been recognized as a risk factor for MS, the increase in the sex ratio of MS has been attributed to the growing number of female smokers, while in an Iranian study this was linked to an increase in the vitamin D deficiency among the young female population [12,14]. Epidemiologic investigations have shown that individuals of Western European ancestry have a higher susceptibility to MS. On the contrary, there are ethnic populations such as Hutterites and the Natives of western Canada who appear to be resistant to the disease despite living in relatively high-risk regions for MS. First-degree relatives of MS patients have a 20 times higher incidence of MS than the general population. Studies on monozygotic twins show that the concordance rate is 30% compared with rates of less than 5% in dizygotic twins [15]. Genetically unrelated family members living in the same environment have a risk of MS that is no higher than the background population. All these observations point toward a genetic component for MS. To date the most significant genetic component discovered remains the HLA-DRB1*15 [15].
Pathophysiology The exact cause of MS remains unknown, but evidence indicates that its pathophysiology includes two key and interconnected components: neuroinflammation and neurodegeneration [1,16]. The inflammatory component of the pathophysiology of MS includes abnormally excessive activation of the immune system against
Neuroinflammation
Th2 cytokines (IL-4, 5, –6, –13) FOXP3 CD4+/ CD25+ T-regs Tr1/IL-10 TGF-β/Th3
EBV
APC (DC) Putative Ag
HSV-6
Inflammation
Antiinflammatory
4
Environment trauma
T-cells
Adherens tight junctions
Th1 cytokines (TNF-a, IFN-g, IL–12, –15, –17) HLA-DR CD71 CD80/B7-1 CCR-5/CXCR3
BBB disturbances
T-cells (CD4+, CD8+) B-cells, monocytes
VE-cadherin Occludin claudins
Adhesion
ICAM-1, VCAM-1/α4β1 MAdCAM-1/α4β7
Transmigration MS injury
Demyelination
(loss of oligodendrocytes)
(B-cells)
IgG/Oligoclonal bands
Myelin Ags MBP MOG
Neurodegeneration
Figure 1.1 Proposed MS pathogenesis. After exposure to environmental antigen(s) (e.g., EBV or HSV-6), myelin-sensitized autoreactive leukocytes are activated via binding of the T-cell receptor to the putative antigen(s), which is conveyed to them by antigen-presenting cells (such as dendritic cells) (trimolecular complexes). The activated leukocytes (T cells, B cells, and macrophages) cross the BBB (transmigration) through the disrupted cerebral endothelial tight and adherens junctions (by disintegrating junctional complexes containing VE-cadherin, occludin, claudin, and junctional adhesion molecules). The activated leukocytes also secrete a number of pro- and anti-inflammatory cytokines that play regulatory roles in polarization of the peripheral environment toward inflammatory or anti-inflammatory mechanisms. Once these cells gain access to the CNS environment, they identify more autoantigens and generate and release more cytokines and autoantibodies, causing loss of myelin/oligodendrocyte complex as well as neurodegeneration.
CNS antigen(s), which leads to interactions between autoreactive leukocytes and the inflamed cerebral endothelium, disintegration of the blood–brain barrier (BBB), and penetration of these activated leukocytes into the CNS parenchyma [1,17–19] (Figure 1.1). The early events that trigger these exuberant immune responses and activation of leukocytes against self-antigens remain hard to pin down, but viral and bacterial antigens are relevant and probable stimuli triggering the original MS pathophysiology [7,20]. Exposure to or infection with a number of viruses, such as hepatitis B and EBV, has been proposed as the activating factor for the T lymphocytes that are sensitized against viral proteins that share similar structural motifs with CNS proteins such as myelin basic protein (MBP); this is the so-called “molecular mimicry hypothesis.”
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
5
Pathophysiology of MS involves both the innate and acquired immune systems. One hypothesis about the pathophysiology of MS is that the initial event begins in the peripheral circulation with activation of immune cells outside the CNS such as dendritic cells [18,19]. Numerous scientific studies on experimental MS in mice (experimental autoimmune encephalomyelitis [EAE], the closest animal model of MS) have revealed that autoreactive CNS-antigen(s)-directed T lymphocytes (CD4, CD8) play significant roles in the development of CNS demyelinating lesions. At some point in the early stages of the MS development, T lymphocytes become sensitized against several suspected CNS antigens, including MBP, proteolipid protein, and myelin oligodendrocyte glycoprotein [21], and activate a massive immune response that leads to their migration across the BBB, leading to its dysregulation. Autoreactive T lymphocytes and monocytes interact with inflamed cerebral endothelial cells through rolling and firm binding in the cerebrovascular space. This binding process is the most significant component of the leukocyte–endothelial interaction and commits the leukocytes to migrate across postcapillary venules into the CNS environment [17]. Loss of the BBB endothelial integrity layer is associated with disassembly and destruction of endothelial tight junctions and junctional proteins such as occludin and VE-cadherin [22] as well as claudins, which facilitate movement of the leukocytes. Once autoreactive T lymphocytes and monocytes breach the CNS at the perivenular areas, the immune cascade escalates and more varied CNS antigens become identified as potential immune targets for T cells, a diversification of antigenic specificity over the course of the disease (the episode spreading concept) [23]. The pro-inflammatory Th1 lymphocytes express high levels of activation markers (HLA-DR and CD71), co-stimulatory molecules (CD80/ B7-1), and Th1-cell chemokine receptors (CCR5 and CXCR3). These cells produce high levels of pro-inflammatory cytokines such as TNF-α, IFN-γ, IL-12, IL-15, and IL-17. The Th2 lymphocytes, which switch the environment toward anti-inflammatory or protective mode, secrete cytokines such as IL-4, IL5, IL-6, and IL-13 [24]. Other cells involved in reducing the inflammatory response include various kinds of CD4 regulatory cells such as FOXP3 CD4CD25 Tregs, the IL-10–generating Tr1 cells, and the transforming growth factor β–generating Th3 cells. However, regardless of their Th polarization, the movement of immune cells into the CNS parenchyma can disturb BBB integrity. During the past decade, neuroimmunologists have focused on the role of emerging cytokines such as IL-12, IL-27, and IL-23 in the pathogenesis of MS. Members of the IL-12 family proteins are involved in regulation of T-lymphocyte responses and may be important in the pathophysiology of MS [25]. IL-17, a potent inflammatory cytokine, promotes CNS inflammation by disrupting the BBB, allowing greater permeation of autoreactive peripheral CD4 T cells into the CNS [26]. Recently, Alexander et al. [27] published the results of a 1-year prospective study of serum levels of IL-12p40, IL-17, and IL-23 prior to and at 3-month intervals after treatment with IFN-β1b. The investigators reported that continuous treatment with IFN-β1b reduced serum levels of IL-12p40 and IL-23 and showed a trend for decreasing IL-17. The investigators concluded that early treatment of MS with IFN-β1b may stabilize the clinical course of MS by decreasing levels of these inflammatory cytokines.
6
Neuroinflammation
The humoral arm of the immune system also is significantly involved in the pathophysiology of MS. Under normal circumstances, B lymphocytes do not cross the BBB. However, during the course of MS and along the massive immune cascade, B lymphocytes become activated, produce antibodies, and cross the BBB. In 1942, Kabat et al. [28] reported the presence of the oligoclonal bands (evidence of intrathecal antibody production) that were not present in the concurrent serum. While it is known that oligoclonal bands are present in the cerebrospinal fluid (CSF) of patients with other inflammatory and infectious etiologies, their presence in the appropriate setting strongly supports a diagnosis of MS. Increased intrathecal synthesis of immunoglobulins is reflected by evidence of several factors and events in the CSF of MS patients, including the presence of oligoclonal bands, an elevated IgG index, B-cell clonal expansion somatic hypermutation [29,30], and B-cell receptor revision (editing) in clonally expanded B cells [31]. These all provide strong support for roles of activated B cells in the massive immune response that occurs during the pathogenesis of MS. Neuropathologic studies of CNS tissues from MS patients show an underlying “pathologic heterogeneity.” A milestone Mayo Clinic neuropathologic study of a large group of active MS white matter lesions suggested four patterns of MS neuropathologies based on the location of the plaques, the extent and pattern of damage and loss of oligodendrocytes, the pattern of myelin protein loss, and evidence of complement activation along with deposition of immunoglobulins [32]. Pattern I lesions reveal strong involvement of T lymphocytes and macrophages with sharp lesion edges and survival of oligodendrocytes and remyelination. In these lesions the expression of all myelin proteins, such as MBP, PLP, myelin-associated glycoprotein (MAG), and myelin oligodendrocyte glycoprotein (MOG), is decreased. Pattern II lesions demonstrate antibody complement–associated demyelination with plaques showing sharply defined borders. These lesions also show the presence of macrophages and T lymphocytes as well as surviving oligodendrocytes and remyelination. Pattern III plaques demonstrate hypoxiainduced distal oligodendrogliopathy with fuzzy borders and apoptosis of oligodendrocytes. There is no evidence of activity of humoral immune response in these lesions. Pattern IV lesions reveal sharply bordered plaques that also contain macrophages and T lymphocytes with no evidence of immunoglobulin or activated complement deposits within them. The proposed mechanism for the formation of these lesions is a primary oligodendrogliopathy (primary oligodendrocyte degeneration). This form of neuropathology is uncommon among MS patients and is limited to patients with PPMS.
Clinical Manifestations Lesions of MS affect many areas of the brain and spinal cord and may damage many aspects of the CNS functions. Clinically, MS may vary from benign MS to more aggressive and progressive forms of MS such as SPMS and PRMS. Fatigue is the most common complaint among MS patients. Fatigue, either mental or physical, affects all aspects of the MS patient’s life profoundly and results in reduced mental or physical activities. In many cases the fatigue compounds the coexisting depression and intensifies the symptoms.
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
7
Clinical manifestations of MS stem from disturbances of the sensorimotor, bowel and bladder, sexual, brain stem and optic nerve, and neuropsychiatric functions. MS lesions demonstrate a predilection for certain areas of the neuroaxis, such as brain stem, periventricular area, cerebellum, optic nerve, and spinal cord, which in turn leads to the development of neuroanatomic-based symptoms. For example, involvement of the medial longitudinal fasciculus at the peri-aqueductal location causes internuclear ophthalmoplegia, which manifests with impairment of the conjugate lateral gaze with limitation of the adduction of the affected eye, along with compensatory nystagmus of the abducted eye. Patients with internuclear ophthalmoplegia complain of double vision, while convergence remains intact. Other abnormalities of the brain stem in the context of MS include impairments of extraocular motility, which manifest with horizontal or vertical gaze paresis, one-and-a-half syndrome, weakness of the extraocular muscles (cranial nerves 3, 4, or 6), or skew deviation. Facial paresis of the central or peripheral type manifests in MS and originates from demyelination of the facial nerve within the brain stem. Facial myokymia is an undulating, wavelike twitching that starts in the orbicularis oculi and occasionally presents in MS. Patients with MS frequently manifest dysarthria and dysphagia [33]. One particular form of speech impairment, scanning speech, is typical for MS patients. Hearing loss is uncommon in MS, but many MS patients frequently complain of vertigo. Many MS patients develop optic neuritis, either as the initial manifestation or as a part of their disease process. Optic neuritis usually begins with subacute visual loss in one or both eyes. As the disease progresses the scotoma becomes larger and the patient develops disturbances of color perception and contrast sensitivity. Patients with optic neuritis often complain of retro-orbital pain that is deteriorated with eye movement. Neuro-ophthalmologic evaluation may reveal a normal optic disc (if the neuritis is retrobulbar) or papillitis as well as the presence of relative afferent pupillary defect. Visual acuity is decreased and the patient suffers from visuospatial deficits. Motor symptoms in MS mainly originate from involvement of the corticospinal tract, which clinically translates into heaviness, stiffness, weakness, pain, or paralysis that can cause hemiparesis or paraparesis or paraplegia. In the course of MS, the lower extremities are more commonly affected than the upper extremities. Other manifestations of corticospinal tract involvement include the presence of hyperactive deep tendon reflexes, spasticity of the affected extremities, and the presence of the Babinski response. Corticospinal tract demyelination and neurodegeneration result from lesions within deep hemispheric white matter, basis pontis, cerebral peduncles, medullary pyramids, internal capsule, or spinal cord. Sensory symptoms of MS include tingling, burning, a pins-and-needles sensation, or complete loss of sensation. Frequently, MS patients complain of abnormal feeling occurring in a band-like distribution around the chest or abdomen. The sensory complaints in MS may stem from demyelination of the posterior columns (gracilis and cuneatus fascicule) or spinothalamic tracts. Lhermitte’s sign consists of a sudden electric-like sensation traveling down the spine or the extremities for a brief period. Apart from these sensory complaints, MS is potentially a painful disease and patients may develop trigeminal or glossopharyngeal neuralgia. Patients who suffer from
8
Neuroinflammation
these neuralgias report frequent, severe, short-lasting lancinating pain that affects their face or head and neck area. In addition, patients with MS have more generalized headaches and migraines than healthy individuals. Cerebellar involvement in MS stems from both vermian and hemispheric lesions and clinically manifests with gait ataxia, dysmetria upon performance of the finger-to-nose and heel-to-shin test, and inability to do tandem gait. Limb ataxia and intention tremor may be present in up to 50% of MS patients. Up to 65% of MS patients suffer from neuropsychiatric abnormalities. A decline in language skills, memory, and intellectual function is commonly observed in MS patients. Neuropsychological assessment of MS patients reveals mild to moderate slowing of thinking process, poor recent memory, word-finding difficulties, slow information processing, and difficulty with concentration [34–37]. The pattern of cognitive impairment in MS is similar to the pattern of other neurologic disorders that involve subcortical structures, such as HIV-related encephalopathy and Parkinson’s disease. Therefore, the presence of aphasia and neglect in MS patients is unusual. Mood disorders, particularly depression and bipolar mood disorder, are common among MS patients. These patients also frequently demonstrate euphoria, which indicates their inability to inhibit emotional expression. A number of abnormal involuntary movements may present in the context of MS. Some patients may develop rubral tremor, chorea, segmental myoclonus, and dystonia. Autonomic disturbances, including impairment of bowel and bladder dysfunction, and abnormal sweating, with unusual coldness or discoloration of the legs or feet, may be present in MS. Any cognitive or physical deficits in MS can be stereotypically and reversibly enhanced with exposure to heat, prolonged exercise, or infection (Uthoff’s phenomenon).
Neuroimaging: A Concise Review The use of various neuroimaging procedures, particularly different MR techniques, for the diagnosis, management, and follow-up of MS patients has fundamentally changed our view and understanding about the nature and pathophysiology of MS. The role of MRI in the world of MS is so significant that without an abnormal brain MRI, a diagnosis of MS must be reconsidered. MRI of the brain and spinal cord is the only objective tool that provides clinicians with a solid view about the natural history, disease activity, disease burden, severity of brain and spinal cord atrophy, and any therapeutic response to the administration of disease-modifying agents and immunosuppressants. Application of MRI has even changed the diagnostic criteria for MS and allows for the development of new T2-weighted lesions 1 month or more after the last MRI to fulfill the criteria for dissemination in time (Table 1.1) as well as development of one or more than one lesions in each of more than two characteristic sites for MS lesions to meet the criteria for dissemination in space [38]. As we learn more about MS, we also learn more about other diseases that imitate MS clinically. Therefore, MRI serves as an accurate diagnostic procedure to exclude MS imitators.
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
9
Table 1.1 MRI Criteria for Dissemination in Space and Dissemination in Time for Patients with MS
Dissemination in Space McDonald [46]
Three or more of the following: Nine T2-weighted or one Gd-enhancing lesions; three or more periventricular lesions; one juxtacortical lesion; one or more posterior fossa lesions (*One spinal cord lesion can replace brain lesion.)
McDonald [47]
Three or more of the following: Nine T2-weighted lesions or one Gd-enhancing lesions; three or more periventricular lesions; one or more juxtacortical lesions; one or more posterior fossa lesions or spinal cord lesions (*A spinal cord lesion can replace an infratentorial lesion. **Any number of spinal cord lesions can be included in the total lesion count.)
New criteria
>1 lesion in each of >2 characteristic locations; periventricular, juxtacortical, posterior fossa, and spinal cord
Dissemination in Time McDonald [46]
Detection of Gd enhancement 3 or more months after CIS; a new T2-weighted lesion with reference to a previous scan 3 or more months after onset of CIS
McDonald [47]
A Gd-enhancing lesion 3 or more months after CIS; a new T2-weighted lesion with reference to a baseline scan obtained 30 days or more after onset of CIS
New criteria
A new T2-weighted lesion on follow-up MRI irrespective of timing of baseline scan
Gd, gadolinium; CIS, clinically isolated syndrome. Source: Adapted with permission from Lancet Neurology.
The other role of MRI is in follow-up and assessing a patient’s response to therapy. Currently, the treatments for MS approved by the US Food and Drug Administration (FDA) are expensive, and it is necessary to objectively document a patient’s favorable response or lack of response to treatment. Serial MRI of the patient’s brain and spinal cord, before and after treatment with disease-modifying agents, enables clinicians to assess and measure the quantity and the volume of MS lesions on various MR sequences; this in turn translates into a deeper understanding of the extent and severity of the underlying disease process. In addition, since MS is a “whole brain disease,” MRI shows us the extent of involvement of both white and gray matters and particularly demonstrates the severity of brain atrophy, which is a long-term indicator of disability in MS. At present, performing sophisticated MR techniques is the principal component of clinical trials for MS. The standard protocol for neuroimaging of MS patients proposed by the Consortium of MS Centers is presented in Table 1.2 [39]. The most informative MR sequences for neuroimaging of MS on routine MR
10
Neuroinflammation
Table 1.2 The Consortium of MS Centers Standardized Brain and Spinal Cord MRI Protocol Brain MRI Sequence
Diagnostic Scan for CIS
New Baseline or Comment Follow-Up Scan in Definite MS
Three-plane scout
Recommended Recommended
Axial sections through the subcallosal line (joins the undersurface of the rostrum and splenium of the corpus callosum)
Sagittal FLAIR
Recommended Recommended
Useful for corpus callosum lesions
Axial fast spin– or turbo spin–echo PD/T2
Recommended Recommended
TE1 < 30 ms TE2 < 80 ms Useful for infratentorial lesions missed by FLAIR
Axial FLAIR
Recommended Recommended
Useful for most white matter lesions, including juxtacortical
Axial pre-contrast T1
Optional
Optional
Useful for T1 black hole assessment
Three-dimensional T1
Optional
Optional
Useful for brain volume measures
Axial post-contrast T1
Recommended Optional
Minimum of 5 min delay using a standard dose
Spinal cord MRI sequence
Spinal cord imaging following contrast-enhanced brain MRI (no further contrast is needed) sequence
Three-plane localizer pre-contrast sagittal T1
Three-plane localizer postcontrast sagittal T1
Sagittal fast spin–echo PD/T2
Sagittal fast spin–echo PD/T2
Axial fast spin–echo PD/ T2 through lesions
Post-contrast axial T1-weighted through lesions
Three-dimensional T1 (optional)
Axial fast spin–echo PD/T2 through lesions
Post-contrast sagittal T1
Three-dimensional T1 (optional)
Post-contrast axial T1 through lesions Slice thickness should be <3 mm with no interslice gap (contiguous) on a >1.0 T closed MRI scanner. FLAIR, fluidattenuated inversion recovery; MS, multiple sclerosis; PD, proton density. Source: Adapted with permission from Am J Neuroradiol [39].
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
11
Figure 1.2 (A) MRI. Axial view, FLAIR sequence. Plaque in infratentorial location, right cerebellar. (B) MRI. Axial view, FLAIR sequence. Multiple demyelinating plaques in characteristic periventricular location following the periependymal veins (Dawson’s fingers). (C) MRI. Transverse slice, FLAIR sequence. (D) MRI. MT sequence, same level as (C). Compare the lesser number of plaques on the MT sequence. The lower magnetization value indicates lipoprotein loss. In this patient the volume for plaques was 23.5 cc on FLAIR and 4.2 cc on MT, indicating 18% of plaques have lipoprotein breakdown.
machines include sagittal fluid-attenuated inversion recovery (FLAIR), axial fast spin– or turbo spin–echo proton density (PD/T2-weighted), axial FLAIR, and axial pre- and post-contrast (gadolinium[Gd]) T1-weighted images. The FLAIR technique is a unique procedure currently used for the detection of white matter lesions, which appear as hyperintense signals on this sequence (Figure 1.2A–D). Typical MS lesions on FLAIR sequence are hyperintense periventricular lesions as well as corpus callosum lesions (Dawson’s fingers). Application of T2-weighted sequence is a classic approach to visualize MS disease burden and lesion formation over time [40]. However, the specificity of this MR technique is low since different pathophysiologic events such as edema, demyelination, remyelination, inflammation, Wallerian degeneration, and axonal loss all present as hyperintense lesions on this sequence. T2-weighted images can be obtained by applying a number of spin echo– or fast spin echo–based methods. T2-weighted
12
Neuroinflammation
Figure 1.3 (A) MRI. T2-weighted axial view of brain showing MS plaques. T2 values were calculated: for a normal value of 95 ms in brain parenchyma, the plaques measure from 124 to 211 ms. (B) Post-contrast axial T1-weighted view showing enhancing plaque corresponding to one of the plaques appearing on the T2-weighted image.
lesions of MS are observed in the periventricular white matter, corpus callosum, and juxtacortical and infratentorial areas, including brain stem, cerebellum, and spinal cord (Figure 1.3A). The T2-weighted lesions may be multifocal or as the underlying disease process advances they may become confluent. With time, the number and volume of T2-weighted lesions increase. However, with further disease progression with progression of central atrophy, the total brain volume as well as white matter volume is decreased, which translates into an overall decrease in the volume of T2-weighted lesions. Therefore, the T2-weighted lesion load may not demonstrate an accurate correlation with overall disability. Another MR technique to study MS is T1-weighted images obtained pre- and post-contrast infusion. Gd, the contrast material, is infused intravenously. The development of Gd-enhancing lesions on post-contrast T1-weighted images usually occurs at the early stages of lesion formation and may indicate BBB leakage (Figure 1.3B). The duration of the GD-enhancing T1-weighted lesions is short; they usually disappear within 2–6 weeks [41]. In addition, most of these lesions are clinically silent; therefore, MRI is 5–10 times more sensitive to MS disease activity than clinical observation alone [42]. Contrast-enhancing lesions may enhance homogeneously or present as ring-enhancing lesions. However, some of the contrast-enhancing T1-weighted lesions do not show a complete ring and manifest as “open ring”– enhancing lesions, in which case the opening of the ring points toward the cortex. The presence of open ring–enhancing lesions strongly supports a diagnosis of MS. In general, the ring-enhancing lesions are typically larger than nonring-enhancing lesions, show a shorter period of enhancement, and show a lower diffusion and magnetization transfer (MT) ratio. Therefore, these lesions may indicate the evolution of these lesions into T1-weighted black holes and may be associated with a
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
13
Figure 1.4 (A) MR spectroscopy of the MS plaque. Echo time [TE]30 ms. Note the presence of lactate, indicating anaerobic metabolism, decrease in NAA (low neurons/axons), slight increase in choline (increased membrane metabolism, increased metabolic turnover), increased myoinositol (glial marker). (B) MR axial post-contrast T1-weighted enhancing hyperacute plaque over the left central region. (C) Axial apparent diffusion coefficient (ADC) map. (D) Axial diffusion-weighted image (DWI). Note hyperintensity on DWI and hypointensity on ADC, indicating restricted diffusion, seen in hyperacute plaques. With time the values increase and there will be no restriction.
stronger chance for brain atrophy. While the presence of contrast enhancement to a certain degree reflects inflammatory disease activity and disruption of the BBB, these lesions do not correlate potently with disability on longitudinal studies. The contrast-enhancing lesions are better indicators of active inflammatory stage, they point toward upcoming clinical relapses, and they are sensitive to treatment with corticosteroids and other immunomodulatory medications. A subgroup of T2-weighted lesions, which is also observable on T1-weighted images represents areas of hypointensity. Some of these areas may represent a temporary stage in the development of new MS lesions and may be associated with the inflammatory infiltrate in the newly developing lesions. However, a certain number of these lesions turn into persistent T1-weighted hypointensities also known as T1 black holes. T1 black holes are believed to show severe tissue loss with axonal loss, and the load of persistent T1-weighted black holes demonstrates a strong correlation with chronic disability [43]. T1-weighted black holes have been reported in both cerebral white matter and the spinal cord [44]. Another novel MRI technique is proton magnetic spectroscopy (1H-MRS), which allows determination of the chemical components and metabolite alterations within MS lesions as well as normal-appearing white matter (Figure 1.4). Assessment of MS
14
Neuroinflammation
lesions using 1H-MRS allows insight into the biomolecules such as N-acetylaspartate (NAA), choline, creatine, myoinositol, glutamate, glutamine, lipids, and lactate. Each one of these metabolites appears at a unique site in the 1H-MRS spectrum (expressed at parts per million [ppm]). NAA is a specific marker of neuronal and axonal integrity and presents at 2.02 ppm. In active inflammatory lesions of MS there is a reduction of NAA peak along with increases in the choline, lactate, and lipid peaks. An increase in choline peak indicates increased cell membrane turnover marker, and its increase may be associated with infiltration of immune cells, demyelination, remyelination, and gliosis. Myoinositol is proposed to be a marker of glial proliferation.
Figure 1.5 (A) MRI. Axial diffusion-weighted image showing multiple hyperintense lesions, corresponding to MS plaques. Apparent diffusion coefficient (ADC) values (as n 10-3 mm2/s) were elevated compared to normal values (0.70 10-3 mm2/s). (B) MRI. Sagittal T1-weighted image with Gd contrast. MS plaques are perpendicular to ependyma (Dawson’s fingers).
Figure 1.6 (A) MRI. MT. MT ratio of a plaque is 33%, or 77% of normal. (B) Same patient 7 months after; plaque MT ratio is now 20%, or 44% of normal.
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
15
Spinal cord lesions, which may be detected in up to 90% of patients with clinically definite MS, account for significant disability in these patients. The cervical cord is more frequently affected than the thoracic cord, and involvement of the spinal cord without cerebral involvement occurs in only 2% of MS patients. MS lesions affecting the spinal cord generally do not extend beyond two vertebral segments, and extensive longitudinal lesions, particularly when present acutely, should raise the diagnosis of neuromyelitis optica [45]. Many of the spinal cord lesions are clinically silent. Spinal cord lesions are better imaged on short tau inversion recovery (STIR) sequences. Other advanced MR procedures currently employed to better understand the pathogenesis of MS consist of diffusion-weighted MR (Figure 1.5), MT ratio (Figure 1.6), functional, perfusion MR imaging, and tractography.
Diagnosis The original diagnostic criteria proposed by Poser et al. (1983) [64] required clinical documentation of dissemination in time and space based on the physical examination. These criteria were modified to include MRI abnormalities [46,47]. The latest diagnostic criteria for MS are presented in Table 1.3.
Variants of MS Variants of MS include neuromyelitis optica (also known as Devic’s disease, which is discussed in a separate chapter), Marburg’s variant, Balo’s concentric sclerosis, and Schilder’s disease. Marburg’s variant of MS is a fulminant disorder with a rapidly progressive course, which is associated with severe axonal loss and causes the patient’s death. Balo’s concentric sclerosis is an uncommon form of MS that neuropathologically manifests with concentric rings of alternating demyelinated and undemyelinated areas. This form of MS, which is more common among Asians, presents as an acute condition and may result in severe disability or death. Unlike typical cases of MS, patients with Balo’s concentric sclerosis present with more cortical impairments such as seizures, aphasia, and cognitive decline. Schilder’s disease is a rare and progressive demyelinating disorder that affects children. Demyelinating lesions of Schilder’s disease are usually large, confluent, and extensive. Patients present with seizures, aphasia, weakness, speech impairment, personality changes, and poor concentration.
Differential Diagnosis A number of neurologic and nonneurologic diseases imitate MS and may present with nonspecific white matter lesions on brain or spinal cord MRI. In these cases, attention
16
Neuroinflammation
Table 1.3 Revised McDonald MS Diagnostic Criteria Clinical Presentation
Additional Requirements to Diagnose MS
2 or more attacksa
Noneb
2 or more objective clinical lesions 2 or more attacksa objective clinical evidence of 1 lesion
Dissemination in space, demonstrated by: MRIc or a positive CSFd and 2 or more MRI lesions consistent with MS or a further clinical attacka indicating a different location
1 attacka 2 or more objective clinical lesions
Dissemination in time, demonstrated by: MRIe or second clinical attacka
1 attacka objective clinical evidence of 1 lesion (monosymptomatic presentation; CIS)
Dissemination in space, demonstrated by: MRIc or positive CSFd and 2 or more MRI lesions consistent with MS and Dissemination in time, demonstrated by: MRIe or second clinical attacka
If criteria indicated are fulfilled, the diagnosis is multiple sclerosis (MS); if the criteria are not completely met, the diagnosis is “possible MS”; if the criteria are fully explored and not met, the diagnosis is “not MS.” a No additional tests are required; however, if tests (magnetic resonance imaging [MRI], cerebrospinal fluid [CSF]) are undertaken and are negative, extreme caution should be taken before making a diagnosis of MS. Alternative diagnoses must be considered. There must be no better explanation for the clinical picture. b MRI demonstration of space dissemination. c Positive CSF determined by oligoclonal bands detected by established methods (preferably isoelectric focusing) different from any such bands in serum or by a raised IgG index. d MRI demonstration of time dissemination. e Abnormal visual evoked potential of the type seen in MS (delay with a well-preserved waveform). Source: From [47], Ann Neurology 2005. With permission from John Wiley and Sons, Inc.
to the details of the clinical history and neurologic examination as well as other laboratory tests usually assists the clinician to differentiate these diseases from MS. These imitators of MS include neurosarcoidosis, neurosyphilis, leukodystrophies, acute disseminated encephalomyelitis, ischemic demyelination, migraine, systemic lupus erythematosus, B12 deficiency, HIV encephalitis, HTLV-1–associated myelopathy, mitochondrial encephalopathy, progressive multifocal leukoencephalopathy, subacute sclerosing panencephalitis, ischemic stroke, fat embolism, and Behçet’s disease.
Management Currently, MS remains an incurable disease. Treatments for MS can be classified into three major categories: treatment for acute attacks, use of disease-modifying agents, and immunosuppressive agents.
Treatment of Acute Relapses Patients with MS frequently experience relapses; they may resolve completely or leave the patient with clinically detectable residual neurologic deficits. In addition,
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
17
once the patient experiences a number of relapses, he or she accumulates significant functional disability. Multiple clinical observations have demonstrated that MS patients who are treated with corticosteroids or adrenocorticotropic hormone (ACTh) recover faster than untreated patients. Due to the powerful anti-inflammatory and immunosuppressive properties of corticosteroids and ACTh, neurologists commonly use these agents to treat acute relapses of MS. These medications decrease edema and inflammation as well as the number of contrast-enhancing lesions on T1-weighted brain MR images. Clinically, patients improve and usually recover more rapidly. One of these corticosteroid medications is methylprednisolone (Solu-Medrol), which is infused intravenously 1 g/day for 5 days, followed by abrupt withdrawal or a tapering regimen. ACTh is not commonly used for treatment of acute relapses of MS.
Disease-Modifying Agents Currently, there are six FDA-approved disease-modifying agents for treatment of MS: (1) low-dose, low-frequency interferon-β1a (Avonex); (2) high-dose, highfrequency interferon-β1a (Rebif); (3) high-frequency interferon-β1b; (4) glatiramer acetate (GA), also known as copolymer 1, Cop-1, or Copaxone; (5) natalizumab (Tysabri), a monoclonal antibody against the cellular adhesion molecule a4-integrin; and (6) mitoxantrone (Table 1.4).
Beta-Interferons Beta-interferons decrease the number of contrast (Gd)-enhancing lesions on brain MRI, reduce severe relapses by 50%, and delay disease progression. The mechanisms of the beneficial effects of beta-interferons in the management of MS patients are only partially known. Proposed mechanisms of action for these agents include reduction of antigen presentation [48], decreasing the expression of co-stimulatory molecules on the dendritic and other cells [49,50], suppressing the proliferation of pro-inflammatory Th1 lymphocytes and upregulation of production of IL-10 [51], shifting of the cytokine environment from pro-inflammatory to anti-inflammatory [52,53], preventing transendothelial migration of autoreactive T lymphocytes by decreasing the production of matrix metalloproteinases [54,55], and restoring BBB integrity by upregulating the expression of occludin and VE-cadherin [22]. IFN-β1b also decreases serum levels of IL-12 and IL-23 [27]. Adverse effects of IFN-β1b include injection site reactions. The flu-like syndrome that occurs within hours of the injection usually resolves within 24 h. However, the severity of the flu-like syndrome may decrease with more injections over several weeks. Various techniques can be used to reduce the severity and duration of the flu-like symptoms. One recommendation is to inject IFN-β1b at bedtime and to use a titration schedule to increase the dose slowly, starting at 25% of the recommended dose and progressing to the full dose within 4–6 weeks. Patients should be instructed to take noncorticosteroid anti-inflammatory agents such as ibuprofen or acetaminophen prior to and after the injection. In severe cases, use of low-dose corticosteroids (prednisone 10 mg prior
18
Neuroinflammation
Table 1.4 Therapeutic Drugs Approved by the FDA for Treatment of MS Drug
Dosage
Route of Side Effects Administration
Safety Blood Work
Avonex (INF-β1a)
30 μg weekly Intramuscular
Flu-like syndrome
LFT/CBC Redness, necrosis
Rebif (INF-β1a)
8.0 million Subcutaneous units 3 times weekly
Flu-like syndrome
LFT/CBC Redness, necrosis
Betaseron (INF-β1b)
44 μg
Subcutaneous
Flu-like syndrome
LFT/CBC Redness, necrosis
Glatiramer acetate (Copaxone)
20 mg
Subcutaneous
None
None
Tysabri 300 mg once Intravenous (natalizumab) every 28 days
None A number of cases of progressive multifocal leukoencephalopathy have been reported in association with it
Mitoxantrone 12 mg/m2 Intravenous body surface once every 3 months, not to exceed 140 mg in lifetime
Cardiomyopathy, opportunistic infections, acute myeloid leukemia
Skin Reaction
Redness, lipodystrophy None
LFT/CBC Skin necrosis upon accidental skin exposure
LFT, liver function tests; CBC, complete blood count.
to injection) is recommended. Uncommonly, depression and suicidal ideation occur in patients being treated with IFN-β1b. The most common laboratory abnormalities associated with IFN-β1b are lymphopenia and elevated liver enzymes. Injection site reactions are common and typically occur when patients inject themselves at the same place frequently. This reaction ranges from redness of the skin to skin necrosis. Skin necrosis usually requires discontinuation of the IFN-β1b.
Glatiramer Acetate GA, which is administered 20 mg/day subcutaneously, reduces relapses by one third. GA is a synthetic random polymer of four amino acids (with a molecular weight of 6.4 kDa) that exist in the MBP. It is currently used for treatment of patients with RRMS. The four amino acids are tyrosine, glutamate, alanine, and lysine. Previous experiments demonstrated that GA was an effective therapy for preventing and
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
19
ameliorating experimental allergic encephalomyelitis [56]. GA was approved in 1997 by the FDA for treatment of patients with RRMS. The mechanisms of the beneficial effects of GA on MS patients are not completely understood. Based on the proposed mechanism of action of GA, this medication induces a Th2/anti-inflammatory response in up to 50% of treated patients. The Th2 T cells in turn induce immunosuppressive type 2 monocytes and microglia, which also promote a switch to a Th2 environment. Currently, GA is not indicated for treatment of patients with SPMS and PPMS. Two recent head-to-head clinical trials comparing the clinical efficacy of IFN-β1a and IFN-β1b did not establish any difference between the efficacy of the beta-interferons and GA [57,58].
Natalizumab Natalizumab (Tysabri) is a humanized monoclonal antibody that targets the α4 chain of α4β1and α4β7 integrins. The α4β1 integrin very late antigen-4 (VLA-4) is expressed on all leukocytes except neutrophils and binds to the vascular cell adhesion molecule-4 (VCAM-4), which is expressed by the cerebral inflamed endothelium [59]. Natalizumab blocks the binding of the VLA-4 and VCAM-1, which in turn either blocks or significantly reduces transendothelial migration of the activated leukocytes into the CNS. The results of clinical trials of natalizumab in MS patients indicate that administration of this monoclonal antibody reduced the annual relapse rate by 68% and decreased the rate of disability progression by 42%, the number of brain contrastenhancing T1-weighted lesions by 92%, and the number of T2-weighted lesions by 83% [60,61]. Natalizumab is infused intravenously 300 mg once every 28 days. Its major adverse event is development of progressive multifocal leukoencephalopathy. Other monoclonal antibodies under clinical investigation for treatment of MS include daclizumab, rituximab, and alemtuzumab.
Mitoxantrone Mitoxantrone (Novantrone), an antineoplastic agent with profound immunosuppressive effects, is chemically related to the anthracyclines such as doxorubicin and acts as a potent immunosuppressive agent for treatment of MS. Mechanisms of action of mitoxantrone include intercalation with the DNA molecule, which in turn causes single- and double-stranded disruptions and suppresses DNA repair via inhibition of topoisomerase II. Mitoxantrone potently inhibits proliferation of B and T lymphocytes as well as macrophages. Other cells, such as antigen-presenting cells, are also killed and migration of the activated leukocytes is suppressed. Other modes of action for mitoxantrone include lowering the secretion of IFN-γ, TNF-α, and IL-2 [62]. Administration of mitoxantrone causes apoptosis of B and T lymphocytes [63]. Mitoxantrone is administered 12 mg/m2 every 3 months. It significantly reduces clinical relapses, disease progression, and MRI lesions in MS patients. Mitoxantrone has three significant side effects: severe leukopenia, acute myelogenous leukemia, and cardiac toxicity. In addition, patients treated with mitoxantrone are always at high risk for opportunistic infections.
20
Neuroinflammation
Prognosis MS is an unpredictable disease and in many cases, even with standard treatment, patients progress toward irreversible disability. Prognostic factors that indicate a better outcome include female gender, younger age at disease onset, initial disease presentation with optic neuritis or sensory symptoms, the presence of little residual disability after each relapse, a prolonged interval between the demyelinating attacks, a lower lesion load on the baseline brain scan at the onset, a progressive course from the beginning of the disease, poor recovery from relapses, and cerebellar or motor deficits.
Conclusion MS remains a very complicated and incurable disease with many as yet unrecognized features. Ongoing basic science and clinical research into the pathophysiology of MS has altered our view of the fundamental mechanisms of disease process and had led to the discovery of disease-modifying agents. With introduction of these agents, the natural course of MS has changed forever and our clinical practice has moved toward more rapid diagnosis and earlier treatment of these patients. It is hoped that more effective therapies with fewer side effects will translate into a better quality of life for MS patients. The authors hope this chapter will encourage readers to continue research into the nature of this enigmatic disease.
References [1] Frohman EM, Racke MK, Raine CS. Multiple sclerosis—the plaque and its pathogenesis. N Engl J Med 2006;354:942–55. [2] Noseworthy JH, Lucchinetti C, Rodriguez M, Weinshenker BG. Multiple sclerosis. N Engl J Med 2000;343:938–52. [3] Lublin FD, Reingold SC. Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology 1996;46:907–11. [4] Kurtzke JF. Epidemiologic evidence for multiple sclerosis as an infection. Clin Microbiol Rev 1993;6:382–427. [5] Koch-Henriksen N, Sørensen PS. The changing demographic pattern of multiple sclerosis epidemiology. Lancet Neurol 2010 May;9(5):520–32. [6] Correale J, Ysrraelit MC, Gaitán MI. Immunomodulatory effects of vitamin D in multiple sclerosis. Brain 2009;132:1146–60. [7] Maghzi AH, Marta M, Bosca I, Etemadifar M, Dobson R, Maggiore C, et al. Viral pathophysiology of multiple sclerosis: a role for Epstein–Barr virus infection? Pathophysiology 2010 inpress. [8] Hawkes CH. Smoking is a risk factor for multiple sclerosis: a metanalysis. Mult Scler 2007 Jun;13(5):610–5. [9] Munger KL, Zhang SM, O'Reilly E, Hernán MA, Olek MJ, Willett WC, et al. Vitamin D intake and incidence of multiple sclerosis. Neurology 2004;62(1):60–5.
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
21
[10] Zivadinov R, Weinstock-Guttman B, Hashmi K, Abdelrahman N, Stosic M, Dwyer M, et al. Smoking is associated with increased lesion volumes and brain atrophy in multiple sclerosis. Neurology 2009;73:504–10. [11] Saadatnia M, Etemadifar M, Maghzi AH. Multiple sclerosis in Isfahan, Iran. Int Rev Neurobiol 2007;79:357–75. [12] Maghzi AH, Ghazavi H, Ahsan M, Etemadifar M, Mousavi S, Khorvash F, et al. Increasing female preponderance of multiple sclerosis in Isfahan, Iran: a populationbased study. Mult Scler 2010;16(3):359–61. [13] Orton SM, Herrera BM, Yee IM, Valdar W, Ramagopalan SV, Sadovnick AD, et al. Sex ratio of multiple sclerosis in Canada: a longitudinal study. Lancet Neurol 2006;5:932–6. [14] Alonso A, Hernán MA. Temporal trends in the incidence of multiple sclerosis: a syste matic review. Neurology 2008;71(2):129–35. [15] Dyment DA, Ebers GC, Sadovnick AD. Genetics of multiple sclerosis. Lancet Neurol 2004;3:104–10. [16] Trapp BD, Peterson J, Ransohoff RM, Rudick R, Mörk S, Bö L. Axonal transection in the lesions of multiple sclerosis. N Engl J Med 1998;338:278–85. [17] Minagar A, Alexander JS. Blood–brain barrier disruption in multiple sclerosis. Mult Scler 2003;9(6):540–9. [18] Bar-Or A. The immunology of multiple sclerosis. Semin Neurol 2008;28:29–45. [19] Bar-Or A. Immunology of multiple sclerosis. Neurol Clin 2005;23:149–75. [20] Lovett-Racke AE, Racke MK. Epstein–Barr virus and multiple sclerosis. Arch Neurol 2006;63:810–1. [21] Bernard CC, Johns TG, Slavin A, Ichikawa M, Ewing C, Liu J, et al. Myelin oligodendrocyte glycoprotein: a novel candidate autoantigen in multiple sclerosis. J Mol Med 1997;75:77–88. [22] Minagar A, Ostanin D, Long AC, Jennings M, Kelley RE, Sasaki M, et al. Serum from patients with multiple sclerosis downregulates occludin and VE-cadherin expression in cultured endothelial cells. Mult Scler 2003;9:235–8. [23] Davies S, Nicholson T, Laura M, Giovannoni G, Altmann DM. Spread of T lymphocyte immune responses to myelin epitopes with duration of multiple sclerosis. J Neuropathol Exp Neurol 2005;64:371–7. [24] Seder RA, Paul WE. Acquisition of lymphokine-producing phenotype by CD4 T cells. Annu Rev Immunol 1994;12:635–73. [25] Trinchieri G, Pflanz S, Kastelein RA. The IL-12 family of heterodimeric cytokines: new players in the regulation of T cell responses. Immunity 2003;19:641–4. [26] Kebir H, Kreymborg K, Ifergan I, Dodelet-Devillers A, Cayrol R, Bernard M, et al. Human Th17 lymphocytes promote blood–brain barrier disruption and central nervous system inflammation. Nat Med 2007;13:1173–5. [27] Alexander JS, Harris MK, Wells SR, Mills G, Chalamidas K, Ganta VC, et al. Alterations in serum MMP-8, MMP-9, IL-12p40 and IL-23 in multiple sclerosis patients treated with interferon-beta1b. Mult Scler 2010;16:801–9. [28] Kabat EA, Moore DH, Landow H. An electrophoretic study of the protein components in cerebrospinal fluid and their relationship to the serum proteins. J Clin Invest 1942;21:571–7. [29] Owens GP, Ritchie AM, Burgoon MP, Williamson RA, Corboy JR, Gilden DH. Singlecell repertoire analysis demonstrates that clonal expansion is a prominent feature of the B cell response in multiple sclerosis cerebrospinal fluid. J Immunol 2003;171:2725–33. [30] Qin Y, Duquette P, Zhang Y, Talbot P, Poole R, Antel J. Clonal expansion and somatic hypermutation of V(H) genes of B cells from cerebrospinal fluid in multiple sclerosis. J Clin Invest 1998;102(5):1045–50. [31] Monson NL, Brezinschek HP, Brezinschek RI, Mobley A, Vaughan GK, Frohman EM, et al. Receptor revision and atypical mutational characteristics in clonally expanded
22
[32]
[33] [34] [35]
[36] [37] [38]
[39]
[40] [41] [42]
[43] [44] [45] [46]
[47]
[48]
[49]
[50]
Neuroinflammation
B cells from the cerebrospinal fluid of recently diagnosed multiple sclerosis patients. J Neuroimmunol 2005;158:170–81. Lucchinetti C, Brück W, Parisi J, Scheithauer B, Rodriguez M, Lassmann H. Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination. Ann Neurol 2000;47:707–17. Poorjavad M, Derakhshandeh F, Etemadifar M, Soleymani B, Minagar A, Maghzi AH. Oropharyngeal dysphagia in multiple sclerosis. Mult Scler 2010;16:362–5. Rao SM, Leo GJ, Bernardin L, Unverzagt F. Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction. Neurology 1991;41:685–91. Rao SM, Leo GJ, Ellington L, Nauertz T, Bernardin L, Unverzagt F. Cognitive dysfunction in multiple sclerosis. II. Impact on employment and social functioning. Neurology 1991;41:692–6. Beatty WW. Assessment of cognitive and psychological functions in patients with multiple sclerosis: considerations for databasing. Mult Scler 1999;5:239–43. Pinkston JB, Kablinger A, Alekseeva N. Multiple sclerosis and behavior. Int Rev Neurobiol 2007;79:323–39. Swanton JK, Rovira A, Tintore M, Altmann DR, Barkhof F, Filippi M, et al. MRI criteria for multiple sclerosis in patients presenting with clinically isolated syndromes: a multicenter retrospective study. Lancet Neurol 2007;6:677–86. Simon JH, Li D, Traboulsee A, Coyle PK, Arnold DL, Barkhof F, et al. Standardized MR imaging protocol for multiple sclerosis: consortium of MS Centers consensus guidelines. AJNR Am J Neuroradiol 2006;27(2):455–6. Paty DW. Magnetic resonance in multiple sclerosis. Curr Opin Neurol Neurosurg 1993;6:202–8. Cotton F, Weiner HL, Jolesz FA, Guttmann CR. MRI contrast uptake in new lesions in relapsing–remitting MS followed at weekly intervals. Neurology 2003;60(4):640–6. Thompson AJ, Miller D, Youl B, MacManus D, Moore S, Kingsley D, et al. Serial gadolinium-enhanced MRI in relapsing/remitting multiple sclerosis of varying disease duration. Neurology 1992;42:60–3. Zivadinov R, Leist TP. Clinical-magnetic resonance imaging correlations in multiple sclerosis. J Neuroimaging 2005;15(Suppl. 4):10S–21S. Losseff NA, Wang L, Miller DH, Thompson AJ. T1 hypointensity of the spinal cord in multiple sclerosis. J Neurol 2001;248:517–21. Scott TF, Kassab SL, Pittock SJ. Neuromyelitis optica IgG status in acute partial transverse myelitis. Arch Neurol 2006;63:1398–400. McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD, et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 2001;50:121–7. Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Ann Neurol 2005;58(6):840–6. Arnason BG, Dayal A, Qu ZX, Jensen MA, Genç K, Reder AT. Mechanisms of action of interferon-beta in multiple sclerosis. Springer Semin Immunopathol 1996;18(1):125–48. Huang YM, Kouwenhoven M, Jin YP, Press R, Huang WX, Link H. Dendritic cells derived from patients with multiple sclerosis show high CD1a and low CD86 expression. Mult Scler 2001;7:95–9. Shapiro S, Galboiz Y, Lahat N, Kinarty A, Miller A. The “immunological-synapse” at its APC side in relapsing and secondary-progressive multiple sclerosis: modulation by interferon-beta. J Neuroimmunol 2003;144:116–24.
Multiple Sclerosis: Pathophysiology, Clinical Features, Diagnosis, and Management
23
[51] Zang Y, Hong J, Robinson R, Li S, Rivera VM, Zhang JZ. Immune regulatory properties and interactions of copolymer-I and beta-interferon 1a in multiple sclerosis. J Neuroimmunol 2003;137:144–53. [52] Ozenci V, Kouwenhoven M, Huang YM, Kivisäkk P, Link H. Multiple sclerosis is associated with an imbalance between tumour necrosis factor-alpha (TNF-alpha)- and IL-10-secreting blood cells that is corrected by interferon-beta (IFN-beta) treatment. Clin Exp Immunol 2000;120:147–53. [53] Ozenci V, Kouwenhoven M, Teleshova N, Pashenkov M, Fredrikson S, Link H. Multiple sclerosis: pro- and anti-inflammatory cytokines and metalloproteinases are affected differentially by treatment with IFN-beta. J Neuroimmunol 2000;108(1–2):236–43. [54] Prat A, Al-Asmi A, Duquette P, Antel JP. Lymphocyte migration and multiple sclerosis: relation with disease course and therapy. Ann Neurol 1999;46(2):253–6. [55] Yushchenko M, Mäder M, Elitok E, Bitsch A, Dressel A, Tumani H, et al. Interferonbeta-1 b decreased matrix metalloproteinase-9 serum levels in primary progressive multiple sclerosis. J Neurol 2003;250:1224–8. [56] Teitelbaum D, Fridkis-Hareli M, Arnon R, Sela M. Copolymer 1 inhibits chronic relapsing experimental allergic encephalomyelitis induced by proteolipid protein (PLP) peptides in mice and interferes with PLP-specific T cell responses. J Neuroimmunol 1996;64:209–17. [57] Mikol DD, Barkhof F, Chang P, REGARD study group, et al. Comparison of subcutaneous interferon beta-1a with glatiramer acetate in patients with relapsing multiple sclerosis (the REbif vs Glatiramer Acetate in Relapsing MS Disease [REGARD] study): a multicentre, randomised, parallel, open-label trial. Lancet Neurol 2008;7:903–914. [58] Connor P, Filippi M, Arnason B, BEYOND Study Group, et al. 250 microg or 500 microg interferon beta-1b versus 20 mg glatiramer acetate in relapsing–remitting multiple sclerosis: a prospective, randomised, multicentre study. Lancet Neurol 2009;8:889–897. [59] Sheremata WA, Minagar A, Alexander JS, Vollmer T. The role of alpha-4 integrin in the aetiology of multiple sclerosis: current knowledge and therapeutic implications. CNS Drugs 2005;19:909–22. [60] Polman CH, O'Connor PW, Havrdova E, Hutchinson M, Kappos L, Miller DH, et al. A randomized, placebo-controlled trial of natalizumab for relapsing multiple sclerosis. N Engl J Med 2006;354:899–910. [61] Polman CH, O’Connor PW, Havrdova E, AFFIRM Investigators, et al. A randomized, placebo-controlled trial of natalizumab for relapsing multiple sclerosis. N Engl J Med 2006;354:899–910. [62] Fidler JM, DeJoy SQ, Gibbons Jr JJ. Selective immunomodulation by the antineoplastic agent mitoxantrone. I. Suppression of B lymphocyte function. J Immunol 1986;137:727–32. [63] Bellosillo B, Piqué M, Barragán M, Castaño E, Villamor N, Colomer D. Aspirin and salicylate induce apoptosis and activation of caspases in B-cell chronic lymphocytic leukemia cells. Blood 1998;92:1406–14. [64] Poser CM, Paty DW, Scheinberg L, McDonald WI, Davis FA, Ebers GC, et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol. 1983;13:227–31.
2 Epstein–Barr Virus and
Multiple Sclerosis: Wrong Place, Wrong Time?
Amir-Hadi Maghzi1,2,3, Monica Marta1, Isabel Bosca1,4, Mohammad-Reza Savoj2, Masoud Etemadifar2, Gavin Giovannoni1, Ute-Christiane Meier1 1
Neuroimmunology Unit, Centre for Neuroscience and Trauma, Blizard Institute of Cell and Molecular Science, Barts and the London School of Medicine and Dentistry, London, UK 2 Isfahan Research Committee of Multiple Sclerosis (IRCOMS), Isfahan, Iran 3 Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran 4 Neurology Department, La Fe University Hospital, Valencia, Spain
Epstein–Barr Virus Epstein–Barr virus (EBV) was first isolated from Burkitt’s lymphoma in 1964 by Epstein and Barr. EBV as the causative agent for infectious mononucleosis (IM) was discovered in 1968, when a laboratory technician working on lymphoma samples was accidentally infected with EBV and developed IM. In 1970, the virus was found to infect and immortalize B cells. EBV is a gamma-herpes-4-virus and was the first herpes virus to be completely sequenced. Several diseases are associated with EBV, including Hodgkin’s and post-transplant lymphomas, oral hairy leukoplakia, and nasopharyngeal carcinomas [1–3]. However, although EBV has a population prevalence of more than 90% worldwide, only a few EBV-positive individuals suffer from diseases that are linked to EBV [1,2,4,5]. EBV has a double-stranded 172-kb DNA genome. Upon infection the genome circularizes and persists as an episome in infected cells. More than 70 open reading frames exist, which encode proteins expressed during lytic and latent EBV infection [1,3,5–7]. Lytic proteins encode viral proteins, which are necessary for the production of infectious virions, whereas latent proteins are needed to set up persistent infection by transforming and immortalizing host cells [1,3]. EBV also encodes non-translated RNAs (e.g., EBER1 and EBER2), which are almost ubiquitously Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00002-2 © 2011 Elsevier Inc. All rights reserved.
26
Neuroinflammation
expressed and highly abundant in EBV-infected cells (106–107 copies per infected cell nucleus). Four EBV latency programs have been described with distinct sets of expressed proteins and viral RNAs: (1) Latency 0: EBER1 and EBER2 but no expression of proteins; (2) Latency 1 (true latency program): EBER1 and EBER2, EBNA1; (3) Latency 2 (default program): EBER1 and EBER2 and expression of EBNA1, latent membrane protein (LMP)-1, LMP2A, LMP2B; and (4) Latency 3 (growth program): EBER1 and EBER2 and expression of EBNA-leader protein (LP), EBNA 2–6, LMP1, LMP2A, LMP2B [8]. Viral latency can be disrupted by a variety of cellular activators, inducing the switch from latent to lytic replication, mediated by the Zebra protein [9]. The major components of the lytic phase are the EBV DNA polymerase, BALF5, and early and late lytic proteins. Self-assembly of the EBV capsids requires viral capsid antigen (VCA), major capsid protein (BcLF1), and major surface membrane antigens (MA) gp350/220 [10]. Viral entry into B cells is mediated by gp350, which binds to CD21 (complement receptor) and possibly other receptors and triggers endocytosis. Entry seems to additionally require binding of MHC class II by gp42 to initiate fusion of viral and endosomal membranes to release viral genetic material into the cell. The role of most EBV proteins has been characterized mainly in vitro using lymphoblastoid cell lines (LCL). In brief, EBNA1 is critical for maintenance of the EBV genome during cell division. LMP1 is important for growth transformation. EBNA3 modulates the EBNA2 activity and may have some role in regulation of transcription. LMPs are transmembrane proteins and mimic an active receptor necessary for transformation of resting B cells [1,11].
EBV and Diseases More than 90% of people are infected with EBV and the prevalence is higher in less-developed countries. Infection in childhood is asymptomatic or presents with subtle signs and symptoms; however, about half of the individuals infected during/ after their late teens have the typical presentations of IM. EBV is usually transmitted via the oral route and replicates intensely in oropharyngeal epithelial cells. The virus enters its lytic program and infects local B cells. These B cells migrate to peripheral lymphoid tissue, but rare EBV B cells are also present in the bloodstream [1]. The virus has evolved strategies that render the host’s immune response unable to eliminate all infected cells, enabling the virus to set up persistent infection. The virus keeps immunologically silent in persistently infected B cells by turning off most genes, and only rarely undergoes reactivation. As the infection enters the latent phase, a few malignant diseases may emanate from chronic infection. Some of the neoplasms known to be caused by EBV are Burkitt’s lymphoma, Hodgkin’s disease, nasopharyngeal carcinoma, and posttransplant lymphoproliferative disorder (PTLD) [1,6,7,11–13].
Epstein–Barr Virus and Multiple Sclerosis: Wrong Place, Wrong Time?
27
Different types of malignancies are related to different virus programs [1,6]. For instance, Burkitt’s lymphoma is known to be associated with the Latency 1 programme, nasopharyngeal carcinoma and Hodgkin’s lymphoma with Latency 2 programme, and lymphoproliferative diseases in immunocompromised patients with Latency 3 programme, whereas hairy oral leukoplakia is related to the lytic program [1]. Over the years several autoimmune diseases, such as multiple sclerosis (MS), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA), have been linked to EBV infection [5,14].
Multiple Sclerosis MS is an inflammatory autoimmune disease of the human central nervous system. Infectious agents are plausible candidates in triggering and perpetuating the disease. Several viruses are suggested as a trigger for MS, but consistency and strength of association render EBV the outstanding candidate [15].
Epidemiologic Evidence Linking EBV to MS There are similarities between the epidemiology of MS and IM [16]. Several studies have shown that individuals with a previous history of IM are at higher risk for acquiring MS. A meta-analysis calculated the combined relative risk of MS after IM to be 2.3 (95% CI 1.7–3.0; P < 108) [17]. Besides demonstrating a potential role for EBV in MS, these findings may also suggest that the timing of primary EBV infection is important in developing MS. Those who are infected during adulthood have a higher risk of developing MS than those infected during childhood [17]. In highrisk regions for MS, the first encounter with EBV occurs during or after puberty in many individuals [18]. A large Danish study on patients with IM observed a more than twofold increased risk of MS in the IM cohort, adding to the evidence of association between IM and MS; in addition, in their study the risk of getting MS was augmented for more than 30 years after IM [19].
EBV Serology and MS Several studies have compared the presence of common EBV antibodies between MS patients and healthy controls. A systematic review demonstrated that nearly all MS patients are infected with EBV, compared with only about 90% of healthy individuals [20]. This study reported an odds ratio of developing MS of 13.5 (95% CI 6.3–31.4) in EBV-positive individuals. A second systematic review confirmed the relation of EBV seropositivity and MS, and calculated an odds ratio of developing MS for seronegative individuals of 0.06 (95% CI 0.03–0.13) [21]. Moreover, another study confirmed that the risk of MS in EBV-negative individuals is very low; however, it
28
Neuroinflammation
considerably increases in the same individuals after infection with EBV [22]. A metaanalysis of 30 case-control studies found an association between MS and exposure to EBV by determining the anti-VCA IgG antibodies (OR5.5; 95% CI3.37–8.81; P<0.0001), anti-complex EBNA IgG (OR5.4; 95% CI2.94–9.76; P<0.0001), and anti-EBNA-1 IgG (OR12.1; 95% CI3.13–46.89; P<0.0001); however, no significant association was observed when studying anti-early antigen (EA) IgG (OR1.3; 95% CI0.68–2.35; P0.457) or EBV DNA in serum (OR1.8; 95% CI0.99– 3.36; P0.051) [23]. Longitudinal prospective studies in which blood samples were collected prior to the onset of MS showed that the risk of developing MS is strongly associated with increased levels of EBV antibody titers prior to disease onset, and the strongest association was found for anti-EBNA1 IgG [24–26]. There is evidence that EBV antibodies might be a marker for clinical and radiologic disease activity in MS. It has been shown that patients with clinical relapse, compared to patients with clinical remission, have evidence of peripheral EBV reactivation as documented by increased IgM and IgA responses to EBV EA, and detectable EBV DNA in serum [27]. Moreover, patients with anti-EBV EA antibodies have more gadolinium (Gd)-enhancing lesions on magnetic resonance imaging (MRI) [28]. Gd-enhancing lesions were also shown to be correlated with anti-EBNA1 IgG and EBNA1/VCA IgG ratio [29]. In addition, anti-EBNA1 IgG titers, but not antiVCA IgG levels, were correlated with T2 lesion volume changes during follow-up [29]. Anti-EBNA1 IgG titers were a predictor of change in the Expanded Disability Status Scale (EDSS) score [29]. Anti-VCA IgG levels have been positively correlated with T2 and T1 lesion volume [30,31] and negatively correlated with atrophy parameters (gray matter fraction [GMF] and brain parenchymal fraction [BPF]) [31]. Increased anti-VCA IgG levels were associated with greater decrease in BPF after 3 years [30,31]. In this study, anti-EBNA1 IgG was only negatively associated with GMF, and there was no association of anti-EBV EA IgG antibodies with any of the MRI parameters measured [31]. Although it has been demonstrated that EBV viral load is not associated with overall MS risk [32,33], EBV viral load has been associated with increased disease activity [32]. It has been shown that in patients with clinically isolated syndrome (CIS), the immune response IgG against EBNA1 (but not other EBV antigens) correlates with the baseline number of T2 lesions, the number of lesions meeting the Barkhof criteria at baseline, the number of T2 lesions during follow-up, presence of new T2 lesions, and EDSS score during follow-up. In addition, increased anti-EBNA1 IgG responses predict conversion to MS based on the McDonald criteria [34]. However, no correlation was found between any EBV IgG responses and the number of Gd-enhancing lesions, although this finding was based on a small proportion of their studied patients [34]. Contrary to these studies, another study failed to show a clinical value for serum anti-EBNA-1 IgG levels in association with disease course and clinical disease activity [35]. Elevated EBV–VCA antibodies were also positively associated with other predisposing factors for MS in healthy individuals, including female gender, HLA-DR2, and current smoking status and the total number of pack-years smoked [36]. When both DR15 and high EBV titers are present, the conferred risk of MS is considerably
Epstein–Barr Virus and Multiple Sclerosis: Wrong Place, Wrong Time?
29
increased [37–39]. In one study, the relative risk of MS was increased ninefold for female MS patients with DR15 and elevated titers of anti-EBNA1 antibodies and implied an interaction between these two risk factors when compared to that of DR15-negative woman with low anti-EBNA1 titers [37]. A more recent study concluded that smoking is likely to enhance the association between high anti-EBNA titers and an increased risk of MS [40]. In conclusion, EBV seropositivity is likely to be a predisposing factor for the development of MS; however, no direct causative relation to MS has been established. EBV seropositivity is also associated with other autoimmune diseases [14], which might indicate that EBV plays a role in autoimmunity in general.
Is there a specific EBV Strain causing MS? The possibility that different strains of EBV with different biologic activity may be associated with the occurrence of MS has been put forward, but few studies have investigated whether EBV strains differ in MS patients and healthy individuals. In one of the initial studies, Munch et al. [41] used sequencing of a coding EBNA6 region and showed a similar number of repeats in all eight MS patients from a cluster cohort and the majority of random MS patients with more variety in the control cohort. They concluded that MS patients had been infected with the same subtype. Lindsey et al. [42], however, found different sequences of LMP1 both in 11 MS patients and controls. More recently, Brennan et al. found several single nucleotide polymorphisms within the EBNA1 gene and one within the BRRF2 gene, which occurred at marginally different frequencies in EBV strains isolated from MS patients compared to controls. Variations in LMP1 and the sequences of the N and C terminus of EBNA1 were also detected by Simon et al. in 66 MS patients compared to controls [43,44]. However, a longitudinal study by Sitki-Green et al. [45] found different EBV strains in the blood and oral cavity of the same individual, indicating that different strains may also occur in the same host. Also, EBNA1 sequences spanning CD4 T-cell epitopes varied between strains. Individuals may therefore harbor a viral quasi-species, as has been described for human immunodeficiency virus, where areas under selection pressure acquire mutations that allow escape from immune surveillance. Contrasting results on the strain specificity of EBV in MS warrant future studies.
Control of EBV Infection by Host Immune Responses EBV has evolved elegant strategies that enable escape from immune surveillance, allowing the virus to set up latent viral infection and thus reactivate and infect new hosts. EBV starts its infectious cycle in B cells via the binding of the main viral envelope glycoprotein gp350/220 to CD21 (complement receptor 2) [46]. EBV infection
30
Neuroinflammation
of epithelial cells depends on the assistance of other viral glycoproteins (e.g., gp42), which appears to be necessary for the binding and fusion of EBV with MHC class II expressing cells [47]. LMP1 and LMP2A, which are latent EBV proteins expressed on infected B cells, mimic the activated CD40 receptor and antigen-activated B-cell receptor (BCR). They play a role in activation, proliferation, and maturation of those B cells into persistent EBV memory B cells [48]. During latent infection of B cells, EBV virion maintains an episomal form. To keep immunologically silent, EBV expresses only a limited repertoire of approximately 11 genes and downregulates surface expression of MHC class II on B cells. The virus is able to transiently switch to the lytic phase, during which approximately 80 genes are expressed encoding proteins for building virions for onward transmission. EBV infection is closely controlled by EBV-specific T cells. The percentage of EBV B cells in the peripheral blood of healthy individuals is between 1 and 10 latently infected B cells within 106 peripheral blood mononuclear cells [49]. It is not yet known if these frequencies are similar in MS patients, which would give us an indication as to whether EBVspecific T-cell responses are altered.
Control of EBV Infection by Virus-Specific CD8 T Cells Circulating cytotoxic CD8 T cells are programmed to eradicate infected B cells [50,51]. Upon infection of antigen-presenting cells, viral proteins undergo proteosomal degradation and the resulting peptides are transported into the endosomal reticulum, where they are loaded onto MHC class I molecules and presented on the cell surface to circulating CD8 cytotoxic T cells. One protein of pronounced immunologic interest is EBNA1, which is a highly immunogenic protein expressed during several latency programs of the virus. It contains a long glycine–alanine repeat sequence, which hinders proteosomal degradation and enables escape from CD8 T-cell recognition [52]. EBNA1 expression in B cells is tightly controlled and kept at levels that allow maintenance of the viral episome, but not high enough to elicit vigorous immune responses. Several studies have investigated EBV-specific CD8 T-cell responses in MS patients, with sometimes paradoxical results. An initial study analyzed 33 MS patients and 33 healthy controls; an increased frequency of CD8 T cells reactive to two out of five HLA-A2- and one HLA-B7-restricted EBV epitope was found in MS patients [53]. A follow-up study with seven HLA-B7-restricted EBV epitopes demonstrated no such difference between 73 MS patients and 32 healthy controls [54]. Increased CD8IFN-γ frequency elicited by 18 HLA class I-restricted EBV peptides was detected in 35 people with CIS, but similar frequencies were found in 73 MS patients and 21 healthy controls [55]. A more recent study described an increased frequency of EBNA1-specific IFN-γ-producing T cells in 28 patients with CIS compared to 30 healthy controls, although the frequency of T cells specific for other EBV-derived immunodominant CD8 T-cell epitopes did not differ between patients and controls [34].
Epstein–Barr Virus and Multiple Sclerosis: Wrong Place, Wrong Time?
31
Other studies used EBV-infected B-cell LCL, which express both latent and lytic phase proteins. One study reported decreased CD8 T-cell responses to EBV as measured by ELISPOT with a lower mean frequency of IFN-γ–expressing peripheral blood mononuclear cells in response to autologous LCL in 34 MS patients compared to 34 healthy controls [56].
Control of EBV Infection by Virus-Specific CD4 T Cells CD4 T-helper cells orchestrate successful immune responses by activating CD8 T-cell function and inducing the maturation of B cells into immunoglobulin-producing plasma cells. CD4 cells recognize exogenous antigen presented by MHC class II molecules on antigen-presenting cells. A study of 21 MS patients and 20 healthy controls showed that MS patients had increased CD4 T-cell responses, mainly of memory phenotype, to a panel of EBNA1-spanning peptides covering the entire C-terminal region [57]. More recently, a cohort of CIS patients was shown to have almost twice the frequency of CD4 T-cell responses (as elicited by an overlapping library of C-terminus EBNA1 peptides) than healthy EBV carriers [34]. Interestingly, 3–4% of EBNA1-specific CD4 T cells in both MS patients and controls also reacted with myelin peptides. EBV encodes proteins that interfere with MHC class II presentation. BGLF5, a lytic program protein that functions as EBV DNase, downregulates surface expression of MHC class I and MHC class II molecules. BZLF1, an EBV immediate-early gene, acts through inhibiting IFN-γ signaling and also causes reduced expression of MHC class II molecules [58]. Surprisingly, intracellular EBV proteins expressed in B cells can bypass the exogenous pathway into the MHC class II pathway [59]. There is no consensus yet as to whether EBV-specific T-cell responses are decreased or increased in MS patients. Opposing results appear to stem mainly from differences in the experimental set-up.
Is EBV a characteristic feature of the MS Brain? Neuropathologic studies have been useful for understanding the driving forces of neuroinflammation, and will also be essential to confirm or refute the idea of viruses as a cause of MS. Early pathologic studies using electron microscopy found the presence of papovavirus and tubular paramyxovirus-like inclusions in active MS lesions [60], which were later described as parainfluenza virus [61], but both types of inclusions were soon found in other conditions and later interpreted as organelle protein artifacts [62,63]. Newer techniques such as in situ hybridization and polymerase chain reaction (PCR) allowed further investigation of viruses and failed to demonstrate the consistent presence of measles, paramyxovirus, or coronavirus [64–66]. Various members of the herpes family, such as varicella zoster virus, herpes simplex virus, and cytomegalovirus, had also been found in MS and control brains [67,68].
32
Neuroinflammation
The demonstration of different viral infections in MS brains led to the hypothesis that there may not be a single specific underlying viral trigger to MS, but that several common viral infections may play a role in the pathologic cascade [69,70]. Early studies failed to show consistent presence of EBV within MS brains: Hilton et al. [71] did not find EBV in a cohort of 10 MS patients (including 4 acute, 11 chronic active, 2 chronic inactive, and 4 shadow plaques) using in situ hybridization for EBER, while Sanders et al. [68] found EBV in 27% of MS patients and 38% of controls, and in 5% of active plaques and 10% of inactive plaques using PCR. Suboptimal tissue preservation prevented Opsahl and Kennedy [72] from drawing any conclusions about the presence of EBV in MS brains. Recent pathologic studies have fueled yet again the debate about the involvement of EBV in MS. Serafini et al. [73] reported the presence of EBV-infected B cells and plasma cells by in situ hybridization and immunohistochemistry in the brains of 21 of 22 MS cases, and these were not present in other inflammatory neurologic diseases (primary cerebral vasculitis, viral encephalitis, mycotic meningitis, and encephalopathy of unknown origin). Eight of the MS cases were known to have ectopic B-cell follicles and rich B-cell/plasma cell infiltration, while 12 cases were less infiltrated. Forty percent to 90% of B cells and 50–80% of plasma cells were positive for EBER, with the highest percentage for B cells in ectopic follicles. Of note, the cases with more prominent EBER-positive cell accumulation were cases rich in B cells/plasma cell infiltrates and ectopic B-cell follicles, while less infiltrated cases had fewer and often isolated EBER-positive cells. Viral reactivation, demonstrated by EBNA2 and BFRF1 expression, was restricted to ectopic follicles and active lesions. Other studies made different observations [74–76]. Willis et al. [74] examined 63 paraffin-embedded, formalin-fixed tissue specimens from 12 MS patients and from these selected 23 samples with CD20 B-cell infiltrates. They used a wide range of techniques, including quantitative real-time PCR to detect genomic EBV and EBER1 RNA, in situ hybridization for EBER, and immunohistochemistry for EBNA2 and LMP1 [74]. In addition, 12 specimens were examined for aggregates or B-cell infiltration within the meninges; this was found to be either absent or low, but 3 of these cases did have B-cell aggregates within the brain parenchyma [74]. Real-time PCR detected low-level EBV infection in two of the cases but EBV was undetectable by in situ hybridization [74]. Peferoen et al. undertook a study screening 632 specimens from 94 MS patients, including 11 patients who died before the age of 50; in addition, they studied 12 blocks used in the Serafini study [73,75]. Sixteen of the patients had accumulations of B-cell infiltrates, although follicle-like structures were not present in any specimen. Real-time PCR for EBV DNA and encoded RNA were negative in all tissues examined and EBER was detected only in one tissue sample by in situ hybridization, which also showed lytic cycle markers [75]. Another study screened active MS lesions with overexpression of INF-α for the presence of EBV infection. In situ hybridization with an EBER1/2 probe showed EBV-positive cells in white matter areas of 12 MS lesions and one case of acute disseminated encephalomyelitis (ADEM) [77]. The authors proposed that EBV infection may play a more indirect role via the accumulation of EBV-infected B cells in areas of initial
Epstein–Barr Virus and Multiple Sclerosis: Wrong Place, Wrong Time?
33
inflammation and stress, which may then release viral components (e.g., EBERs), which can bind to Toll-like receptor 3 and thus activate innate immune responses, contributing to sustained or increased inflammation. The most recent study using nested and non-nested real-time PCR to detect EBV-specific and cell-specific transcripts in 5 formalin-fixed, paraffin-embedded and 15 fresh-frozen MS plaques and in single cerebrospinal fluid B lymphocytes and plasma cells did not reveal any evidence of active EBV infection [76]. From these studies it would appear that EBV-positive cells can be detected in active MS lesions, but far less frequently than has been reported at times. However, the presence of these EBV-positive cells may not be specific to the MS brain.
Conclusion The role of EBV in MS pathogenesis remains unknown at present. Further studies are needed to elucidate the role of EBV in this multifactorial disease and its potential contribution to neuroinflammation. Guilt should not be inferred solely from association, but EBV should be kept under close observation.
References [1] Callan MFC. The immune response to Epstein–Barr virus. Microbes Infect 2004;6:937–45. [2] Macsween KF, Crawford DH. Epstein–Barr virus-recent advances. Lancet Infect Dis 2003;3(3):131–40. [3] Robertson ES. Epstein–Barr virus. London: Caister Academic Press; 2005. [4] Faulkner GC, Krajewski AS, Crawford DH. The ins and outs of EBV infection. Trends Microbiol 2000;8(4):185–9. [5] Niller HH, Salamon D, Banati F, Schwarzmann F, Wolf H, Minarovits J. The LCR of EBV makes Burkitt’s lymphoma endemic. Trends Microbiol 2004;12(11):495–9. [6] Rickinson A. Epstein–Barr virus. Virus Res 2002;82:109–13. [7] Tselis AC, Jenson HB. Epstein Barr virus. New York: Taylor and Francis; 2006. 120–237. [8] Middeldorp JM, Pegtel DM. Multiple roles of LMP1 in Epstein–Barr virus induced immune escape. Semin Cancer Biol 2008;18(6):388–96. [9] Amon W, Farrell PJ. Reactivation of Epstein–Barr virus from latency. Rev Med Virol 2005;15(3):149–56. [10] Halder S, Murakami M, Verma SC, Kumar P, Yi F, Robertson ES. Early events associated with infection of Epstein–Barr virus infection of primary B-cells. PLoS One 2009;4(9):e7214. [11] Griffin BE. Epstein–Barr virus (EBV) and human disease: facts, opinions and problems. Mutat Res 2000;462(2–3):395–405. [12] Pagano JS, Blaser M, Buendia MA, Damania B, Khalili K, Raab-Traub N, et al. Infectious agents and cancer: criteria for a causal relation. Semin Cancer Biol 2004;14(6):453–71. [13] Wakiguchi H. Overview of Epstein–Barr virus-associated diseases in Japan. Crit Rev Oncol Hematol 2002;44(3):193–202.
34
Neuroinflammation
[14] Maghzi AH, Marta M, Bosca I, Etemadifar M, Dobson R, Maggiore C, et al. Viral pathophysiology of multiple sclerosis: a role for Epstein–Barr virus infection? Pathophysiology 2010; in press. [15] Lünemann JD, Kamradt T, Martin R, Münz C. Epstein–Barr virus: environmental trigger of multiple sclerosis? J Virol 2007;81(13):6777–84. [16] Warner HB, Carp RI. Multiple sclerosis and Epstein–Barr virus. Lancet 1981;2:1290. [17] Thacker EL, Mirzaei F, Ascherio A. Infectious mononucleosis and risk for multiple sclerosis: a meta-analysis. Ann Neurol 2006;59:499–503. [18] Haahr S, Plesner AM, Vestergaard BF, Höllsberg P. A role of late Epstein–Barr virus infection in multiple sclerosis. Acta Neurol Scand 2004;109(4):270–5. [19] Nielsen TR, Rostgaard K, Nielsen NM, et al. Multiple sclerosis after infectious mononucleosis. Arch Neurol 2007;64:72–5. [20] Ascherio A, Munch M. Epstein–Barr virus and multiple sclerosis. Epidemiology 2000;11:220–4. [21] Ascherio A, Munger KL. Environmental risk factors for multiple sclerosis. Part I: the role of infection. Ann Neurol 2007;61:288–99. [22] Levin LI, Munger KL, O’Reilly EJ, Falk KI, Ascheri A. Primary infection with the Epstein–Barr virus and risk of multiple sclerosis. Ann Neurol 2010;67(6):824–30. [23] Santiago O, Gutierrez J, Sorlozano A, de Dios Luna J, Villegas E, Fernandez O. Relation between Epstein–Barr virus and multiple sclerosis: analytic study of scientific production. Eur J Clin Microbiol Infect Dis 2010;29(7):857–66. [24] Ascherio A, Munger KL, Lennette ET, Spiegelman D, Hernan MA, Olek MJ, et al. Epstein–Barr virus antibodies and risk of multiple sclerosis: a prospective study. JAMA 2001;286:3083–8. [25] DeLorenze GN, Munger KL, Lennette ET, Orentreich N, Vogelman JH, Ascherio A. Epstein–Barr virus and multiple sclerosis: evidence of association from a prospective study with long-term follow-up. Arch Neurol 2006;63:839–44. [26] Levin LI, Munger KL, Rubertone MV, Peck CA, Lennette ET, Spiegelman D, et al. Temporal relationship between elevation of Epstein–Barr virus antibody titers and initial onset of neurological symptoms in multiple sclerosis. JAMA 2005;293:2496–500. [27] Wandinger K, Jabs W, Siekhaus A, Bubel S, Trillenberg P, Wagner H, et al. Association between clinical disease activity and Epstein–Barr virus reactivation in MS. Neurology 2000;55:178–84. [28] Buljevac D, van Doornum GJ, Flach HZ, Groen J, Osterhaus AD, Hop W, et al. Epstein–Barr virus and disease activity in multiple sclerosis. J Neurol Neurosurg Psychiatry 2005;76:1377–81. [29] Farrell RA, Antony D, Wall GR, Clark DA, Fisniku L, Swanton J, et al. Humoral immune response to EBV in multiple sclerosis is associated with disease activity on MRI. Neurology 2009;73(1):32–8. [30] Zivadinov R, Weinstock-Guttman B, Zorzon M, Uxa L, Serafin M, Bosco A, et al. Gene-environment interactions between HLA B7/A2, EBV antibodies are associated with MRI injury in multiple sclerosis. J Neuroimmunol 2009;209(1–2):123–30. [31] Zivadinov R, Zorzon M, Weinstock-Guttman B, Serafin M, Bosco A, Bratina A, et al. Epstein–Barr virus is associated with grey matter atrophy in multiple sclerosis. J Neurol Neurosurg Psychiatry 2009;80(6):620–5. [32] Höllsberg P, Kusk M, Bech E, Hansen HJ, Jakobsen J, Haahr S. Presence of Epstein– Barr virus and human herpesvirus 6B DNA in multiple sclerosis patients: associations with disease activity. Acta Neurol Scand 2005;112:395–402.
Epstein–Barr Virus and Multiple Sclerosis: Wrong Place, Wrong Time?
35
[33] Wagner HJ, Munger KL, Ascherio A. Plasma viral load of Epstein–Barr virus and risk of multiple sclerosis. Eur J Neurol 2004;11:833–4. [34] Lünemann JD, Tintoré M, Messmer B, Strowig T, Rovira A, Perkal H, et al. Elevated EBNA1 immune responses predict conversion to multiple sclerosis. Ann Neurol 2010;67(2):159–69. [35] Ingram G, Bugert JJ, Loveless S, Robertson NP. Anti-EBNA-1 IgG is not a reliable marker of multiple sclerosis clinical disease activity. Eur J Neurol 2010;17(11):1386–9. [36] Nielsen TR, Pedersen M, Rostgaard K, Frisch M, Hjalgrim H. Correlations between Epstein–Barr virus antibody levels and risk factors for multiple sclerosis in healthy individuals. Mult Scler 2007;13:420–3. [37] De Jager PL, Simon KC, Munger KL, Rioux JD, Hafler DA, Ascherio A. Integrating risk factors: HLA-DRB1*1501 and Epstein–Barr virus in multiple sclerosis. Neurology 2008;70(13 Pt 2):1113–8. [38] Sundström P, Nyström L, Jidell E, Hallmans G. EBNA-1 reactivity and HLA DRB1*1501 as statistically independent risk factors for multiple sclerosis: a case–control study. Mult Scler 2008;14:1120–2. [39] Nielsen T, Rostgaard K, Askling J, Steffensen R, Oturai A, Jersild C, et al. Effects of infectious mononucleosis and HLA-DRB1*15 in multiple sclerosis. Mult Scler 2009;15:431–6. [40] Simon KC, van der Mei IA, Munger KL, Ponsonby A, Dickinson J, Dwyer T, et al. Combined effects of smoking, anti-EBNA antibodies, and HLA-DRB1*1501 on multiple sclerosis risk. Neurology 2010;74(17):1365–71. [41] Munch M, Hvas J, Christensen T, Møller-Larsen A, Haahr S. A single subtype of Epstein–Barr virus in members of multiple sclerosis clusters. Acta Neurol Scand 1998;98(6):395–9. [42] Lindsey JW, Patel S, Zou J. Epstein–Barr virus genotypes in multiple sclerosis. Acta Neurol Scand 2008;117(2):141–4. [43] Brennan RM, Burrows JM, Bell MJ, Bromham L, Csurhes PA, Lenarczyk A, et al. Strains of Epstein–Barr virus infecting multiple sclerosis patients. Mult Scler 2010;16(6):643–51. [44] Simon KC, Yang X, Munger KL, Ascherio A. EBNA1 and LMP1 variants in multiple sclerosis cases and controls. Acta Neurol Scand 2010; in press [45] Sitki-Green D, Covington M, Raab-Traub N. Compartmentalization and transmission of multiple Epstein–Barr virus strains in asymptomatic carriers. J Virol 2003;77(3):1840–7. [46] Nemerow GR, Mold C, Schwend VK, Tollefson V, Cooper NR. Identification of gp350 as the viral glycoprotein mediating attachment of Epstein–Barr virus (EBV) to the EBV/C3d receptor of B cells: sequence homology of gp350 and C3 complement fragment C3d. J Virol 1987;61(5):1416–20. [47] Wang X, Hutt-Fletcher LM. Epstein–Barr virus lacking glycoprotein gp42 can bind to B cells but is not able to infect. J Virol 1998;72(1):158–63. [48] Thorley-Lawson DA, Gross A. Persistence of the Epstein–Barr virus and the origins of associated lymphomas. N Engl J Med 2004;350(13):1328–37. [49] Bornkamm GW, Behrends U, Mautner J. The infectious kiss: newly infected B cells deliver Epstein–Barr virus to epithelial cells. Proc Natl Acad Sci USA 2006;103(19):7201–2. [50] Tan LC, Gudgeon N, Annels NE, Hansasuta P, O’Callaghan CA, Rowland-Jones S, et al. A re-evaluation of the frequency of CD8 T cells specific for EBV in healthy virus carriers. J Immunol 1999;162(3):1827–35.
36
Neuroinflammation
[51] Hislop AD, Taylor GS, Sauce D, Rickinson AB. Cellular responses to viral infection in humans: lessons from Epstein–Barr virus. Annu Rev Immunol 2007;25:587–617. [52] Levitskaya J, Coram M, Levitsky V, Imreh S, Steigerwald-Mullen PM, Klein G, et al. Inhibition of antigen processing by the internal repeat region of the Epstein–Barr virus nuclear antigen-1. Nature 1995;375(6533):685–8. [53] Höllsberg P, Hansen HJ, Haahr S. Altered CD8 T cell responses to selected Epstein– Barr virus immunodominant epitopes in patients with multiple sclerosis. Clin Exp Immunol 2003;132(1):137–43. [54] Gronen F, Ruprecht K, Weissbrich B, Klinker E, Kroner A, Hofstetter HH, et al. Frequency analysis of HLA-B7-restricted Epstein–Barr virus-specific cytotoxic T lymphocytes in patients with multiple sclerosis and healthy controls. J Neuroimmunol 2006;180(1–2):185–92. [55] Jilek S, Schluep M, Meylan P, Vingerhoets F, Guignard L, Monney A, et al. Strong EBV-specific CD8 T-cell response in patients with early multiple sclerosis. Brain 2008;131(Pt 7):1712–21. [56] Pender MP, Csurhes PA, Lenarczyk A, Pfluger CM, Burrows SR. Decreased T cell reactivity to Epstein–Barr virus infected lymphoblastoid cell lines in multiple sclerosis. J Neurol Neurosurg Psychiatry 2009;80(5):498–505. [57] Lünemann JD, Edwards N, Muraro PA, Hayashi S, Cohen JI, Münz C, et al. Increased frequency and broadened specificity of latent EBV nuclear antigen-1-specific T cells in multiple sclerosis. Brain 2006;129(Pt 6):1493–506. [58] Ressing ME, Horst D, Griffin BD, Tellam J, Zuo J, Khanna R, et al. Epstein–Barr virus evasion of CD8() and CD4() T cell immunity via concerted actions of multiple gene products. Semin Cancer Biol 2008;18(6):397–408. [59] Taylor GS, Long HM, Haigh TA, Larsen M, Brooks J, Rickinson AB. A role for intercellular antigen transfer in the recognition of EBV-transformed B cell lines by EBV nuclear antigen-specific CD4 T cells. J Immunol 2006;177(6):3746–56. [60] Prineas J. Paramyxovirus-like particles associated with acute demyelination in chronic relapsing multiple sclerosis. Science 1972;178:760–3. [61] Lewandowski LJ, Lief FS, Verini MA, Pienkowski MM, ter Meulen V, Koprowski H. Analysis of a viral agent isolated from multiple sclerosis brain tissue: characterization as a parainfluenzavirus type 1. J Virol 1974;13:1037–45. [62] Hayano M, Sung JH, Mastri AR. “Paramyxovirus-like” intranuclear inclusions occurring in the nervous system in diverse unrelated conditions. J Neuropathol Exp Neurol 1976;35:287–94. [63] Kirk J, Hutchinson WM. The fine structure of the CNS in multiple sclerosis. I. Interpretation of cytoplasmic papovavirus-like and paramyxovirus-like inclusions. Neuropathol Appl Neurobiol 1978;4:343–56. [64] Cosby SL, McQuaid S, Taylor MJ, Bailey M, Rima BK, Martin SJ, et al. Examination of eight cases of multiple sclerosis and 56 neurological and non-neurological controls for genomic sequences of measles virus, canine distemper virus, simian virus 5 and rubella virus. J Gen Virol 1989;70(Pt 8):2027–36. [65] Godec MS, Asher DM, Murray RS, Shin ML, Greenham LW, Gibbs CJ, Jr., et al. Absence of measles, mumps, and rubella viral genomic sequences from multiple sclerosis brain tissue by polymerase chain reaction. Ann Neurol 1992;32:401–4. [66] Murray RS, Brown B, Brian D, Cabirac GF. Detection of coronavirus RNA and antigen in multiple sclerosis brain. Ann Neurol 1992;31:525–33. [67] Sanders VJ, Waddell AE, Felisan SL, Li X, Conrad AJ, Tourtellotte WW. Herpes simplex virus in postmortem multiple sclerosis brain tissue. Arch Neurol 1996;53:125–33.
Epstein–Barr Virus and Multiple Sclerosis: Wrong Place, Wrong Time?
37
[68] Sanders VJ, Felisan S, Waddell A, Tourtellotte WW. Detection of herpesviridae in postmortem multiple sclerosis brain tissue and controls by polymerase chain reaction. J Neurovirol 1996;2:249–58. [69] Reiber H, Ungefehr S, Jacobi C. The intrathecal, polyspecific and oligoclonal immune response in multiple sclerosis. Mult Scler 1998;4:111–7. [70] Allen I, Brankin B. Pathogenesis of multiple sclerosis—the immune diathesis and the role of viruses. J Neuropathol Exp Neurol 1993;52:95–105. [71] Hilton DA, Love S, Fletcher A, Pringle JH. Absence of Epstein–Barr virus RNA in multiple sclerosis as assessed by in situ hybridisation. J Neurol Neurosurg Psychiatry 1994;57:975–6. [72] Opsahl ML, Kennedy PG. An attempt to investigate the presence of Epstein–Barr virus in multiple sclerosis and normal control brain tissue. J Neurol 2007;254:425–30. [73] Serafini B, Rosicarelli B, Franciotta D, Magliozzi R, Reynolds R, Cinque P, et al. Dysregulated Epstein–Barr virus infection in the multiple sclerosis brain. J Exp Med 2007;204:2899–912. [74] Willis SN, Stadelmann C, Rodig SJ, Caron T, Gattenloehner S, Mallozzi SS, et al. Epstein–Barr virus infection is not a characteristic feature of multiple sclerosis brain. Brain 2009;132(Pt 12):3318–28. [75] Peferoen LA, Lamers F, Lodder LN, Gerritsen WH, Huitinga I, Melief J, et al. Epstein– Barr virus is not a characteristic feature in the central nervous system in established multiple sclerosis. Brain 2010;133(Pt 5):e137. [76] Sargsyan SA, Shearer AJ, Ritchie AM, Burgoon MP, Anderson S, Hemmer B, et al. Absence of Epstein–Barr virus in the brain and CSF of patients with multiple sclerosis. Neurology 2010;74(14):1127–35. [77] Tzartos J, Khan G, Vossenkaemper A, Meager T, Sefia E, Clemens M, et al. The antiviral cytokine interferon-alpha is expressed in acute MS lesions and associated with the presence of Epstein–Barr virus infection. Mult Scler 2009;15(S2):S276.
3 Neutralizing Antibodies and Multiple Sclerosis Amy C. Rauchway Department of Neurology and Psychiatry, Saint Louis University School of Medicine, St. Louis, MO, USA
Immunogenicity of Beta-Interferons Self-antigens are normally tolerated, a process known as immune tolerance [1]. Although therapeutically administered proteins made by recombinant technology closely simulate endogenous proteins, they are potentially immunogenic because of several factors discussed below. Protein-based therapies that have been approved by the US Food and Drug Administration (FDA) for the treatment of multiple sclerosis (MS) are: (1) intramuscular interferon beta-1a (IFN-β1a IM, Avonex), subcutaneous interferon beta-1a (IFN-β1a SC, Rebif), and subcutaneous interferon beta-1b (IFN-β1b SC, Betaseron and Extavia); (2) subcutaneous glatiramer acetate (GA, Copaxone), a synthetic polypeptide; and (3) intravenous natalizumab (Tysabri), a monoclonal antibody [2]. Beta-interferons, which are genetically engineered, protein-based molecules, are classified as biopharmaceuticals [1,3]. Both binding antibodies (BAbs) and neutralizing antibodies (NAbs) have been described as part of the immunologic reaction to beta-interferon treatment [4–7]. BAbs, which include all antibodies that bind to a beta-interferon, occur in up to 80% of treated patients [6]. In general, NAbs are considered a subset of BAbs [7–9] that interfere with receptor binding of beta-interferon at the host’s target cell membranes, preventing the drug’s biologic effects [10]. Moreover, patients with high levels of BAbs may be at elevated risk of developing NAbs [11]. NAbs and BAbs are classified by the assay used in their detection [6,10,12]. Other characteristics, such as site of binding, duration of action, and affinity, may also differ [13]. Factors that play a role in the immunogenicity of a biopharmaceutical are primarily threefold: (1) those related to each agent, such as its chemical formulation, manufacturing method, route of administration, frequency, dose, and duration of treatment; (2) patient characteristics; and (3) unknown factors [1] (Figure 3.1). Differences in the protein sequence, production cell line, and glycosylation pattern between IFN-β1a and -β1b likely affect their immunogenicity [1,14–16]. IFN-β1a is produced in a Chinese hamster ovary cell line [17]. Like human IFN-β, both SC and IM recombinant forms of IFN-β1a are glycosylated and have 166 amino acids. In contrast, IFN-β1b is made in a bacterial strain and is not glycosylated. Furthermore, the N-terminal methionine of IFN-β1b was deleted, resulting in a protein of Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00003-4 © 2011 Elsevier Inc. All rights reserved.
A L C Human N A T
FK
K T K
A L S N A I
40
Structural properties Sequence variation
Glycosylation
FK
K Bacterial F K
Immunogenicity
Contaminants and impurities (from initial production or downstream processing)
Length of treatment
Formulation
Assay technologies
FEBRUARY 1
2
3
4
7
8
9
10 11 12
5
6
13 14 15 16 17 18 25 26 27 28
Other factors
Figure 3.1 Factors that affect the immunogenicity of biopharmaceuticals. Source: Adapted with permission from Nat Rev Drug Discov [1].
Dose
Patient characteristics
Unknown factors
?
Neuroinflammation
19 20 21 22 23 24
Route of application
Neutralizing Antibodies and Multiple Sclerosis
41
165 amino acids. Lastly, the cysteine amino acid at position 17 of IFN-β1b was replaced by a serine [17]. Some patient populations may be more likely than others to develop antiinterferon antibodies. A recent study of a large cohort of MS patients determined that HLA-DRB1*0401 and HLA-DRB1*0408 alleles were highly associated with an increased prevalence of antibodies to beta-interferon [18]. Finally, there remains a group of unknown factors. A dramatic drop occurred in the frequency of NAbpositive patients reported in the safety-extension study of IFN-β1a IM compared to the frequency of NAb-positive patients reported in its pivotal phase III trial. The reduction occurred after the drug was reformulated, but the complete basis for the drop has not been determined [8,9,19].
Interferon Antibody Assays BAb and NAb tests are fundamentally different. BAb tests provide direct evidence of antibody adherence to a target molecule (e.g., beta-interferon), while NAb tests use functional information about the IFN’s bioactivity or ability to induce a biologic response in vitro. Antibody testing is typically performed as a two-stage process [6,7,15], based on the concept that NAbs are a subset of BAbs. Furthermore, testing for BAbs is less expensive and simpler than testing for NAbs [6]. In this approach, a screening test for BAbs is done first. Currently, there are no set standards for BAb testing [9], so the interpretation of positivity is based upon criteria provided by the reference lab performing the test. When BAb titers are detected in the positive range, the specimen is evaluated for NAbs. Binding assays are commonly done by enzyme-linked immunosorbent assay (ELISA) (Figure 3.2). Other methods are Western blotting and radioimmunoprecipitation. In 2005, a European Federation of Neurological Societies (EFNS) Task Force published guidelines on anti-interferon antibody testing in MS. The task force concluded, in part, that (1) measurement of BAbs should be done in specialized laboratories; (2) BAb assays can be reliably done as a screening method before NAb testing; and (3) different assays for BAbs should be evaluated and compared to determine which correlates best with the presence of NAbs [9]. Accordingly, a recent study tested 325 serum samples from patients treated with IFN to compare the sensitivity and specificity among four commonly used binding assays for BAbs for their subsequent detection of NAbs. All specimens were tested with the same four BAb assays followed by the in vitro myxovirus resistance protein A (MxA) assay for NAbs. Among direct ELISA (dELISA), capture ELISA (cELISA), enzyme immunoassay (EIA), and Western blot (WB) assays for BAb detection, the investigators concluded that the cELISA method is the most useful for predicting NAb positivity. They emphasized that BAb testing does not replace NAb testing. Not surprisingly, the correlation between NAb and BAb titers was strongest at the extremes of NAb-negative specimens and high NAb titers [6]. Another recent study tested 50 serum samples for BAbs using a commercially available EIA test kit (Buhlmann Laboratories AG, Allschwil, Switzerland) and
42
Neuroinflammation Substrate HRP
HRP
IFN-β
IFN-β
Steps 1–3 (A)
IFN-β
Step 4 (B)
Step 5 (C)
Figure 3.2 Capture or sandwich ELISA (cELISA). (A) Steps 1–3: (1) attachment of nonhuman capture antibodies against beta-interferon to test plate; (2) application of interferon to capture antibody; (3) binding of BAbs, if present, from the test serum. (B) Step 4: application of horseradish peroxidase (HRP)-conjugated anti-human antibodies. (C) Step 5: HRP enzymatic conversion of a substrate into a chromatically detectable product.
50 other samples for NAbs using a cytopathic effect (CPE) assay to compare the reproducibility of results at three different laboratories. Results demonstrated high reproducibility of BAb testing but variability in NAb titers and status across all three centers [7]. Until recently, detection of NAbs has been performed in vitro in one of two ways. Unfortunately, neither method is standardized in terms of the procedure or the calculating and reporting of results. One method determines IFN’s antiviral capacity by using a CPE. The other method measures MxA production, an IFN-induced protein [9,10]. In the presence of NAbs, the ability of IFNs to prevent viral-induced cell death is diminished in the CPE assay (Figure 3.3), and stimulation of MxA production is decreased or absent in the MxA assay (Figure 3.4). A third assay using gene reporter technology for the detection of NAbs to IFN-β1a and IFN-β1b is now available [20]. Even as early as 1985, a World Health Organization (WHO) committee publication called for an expert panel to evaluate bioassays [21]. The committee made specific recommendations about the content of bioassay reports. A subsequent WHO report in 2004 incorporated recommendations provided by the Standards Committee of the International Society for Interferon and Cytokine Research and reiterated the need to standardize the calculation and reporting of IFN NAb test results [22]. The 2004 report recommended using the Kawade formula to determine the NAb titer [22]. This well-accepted formula expresses NAb potency in 10-fold reduction units
IFN-β IFN-β IFN-β
Invading virus
Invading virus
Invading virus
IFN-β
IFN-β
IFN-β
Cell death
Cell death
Cell survival
(A)
(B)
(C)
Figure 3.3 The CPE assay. (A) Viral-induced cell death of the A549 test cells in vitro. (B) The antiviral effect of beta-interferon, thereby allowing survival of the A549 test cells in vitro. (C) Antibody neutralization of the antiviral effects of beta-interferon, resulting in cell death of the A549 test cells in vitro.
IFN-β
IFN-β IFN-β IFN-β
IFN-β
IFN-β
IFN-β IFN-β
MxA protein (A)
No MxA protein (B)
Figure 3.4 The myxovirus resistance protein A assay. (A) Ability of beta-interferon to induce MxA production. (B) Interference of NAbs upon the ability of beta-interferon to induce MxA production.
44
Neuroinflammation
(TRUs) [23]. A titer of 1 TRU/mL is equivalent to a 10-fold reduction of IFN activity, and a titer of 10 TRU/mL indicates a 100-fold reduction of IFN activity. The titer is calculated by the formula t f (n–1)/9, where t represents the neutralization titer (TRU/mL), f is the reciprocal of the antibody dilution reached at the endpoint for that particular assay, and n is the IFN concentration in laboratory units (LU/mL). Laboratory units are preestablished on the day of the assay for the value of the relevant interferon such that the median endpoint of bioactivity on a sigmoidal dose– response curve is defined as 1 LU and is expressed as a concentration of LU/mL. Restated, 1 LU/mL is the IFN level that demonstrates a 50% protective effect against the confronted virus in a particular CPE assay [23]. Another commonly used expression of interferon neutralization is neutralization unit per milliliter (NU/mL), which may be equivalent to TRU/mL [15]. For a complete explanation of calculating neutralization titers, the reader is referred to articles by key authors on the topic [23,24]. In the case of NAb testing, the EFNS Task Force was in accordance with the WHO expert committee recommendations for using a validated assay with A549 cells (human lung carcinoma), a fixed amount of IFN, serial dilutions of the test sera [9], and calculation of the titer by the Kawade method. Because the European Medicines Evaluation Agency (EMA) validates a MxA assay, the EFNS Task Force recommended it in preference to the CPE assay. A new report, Recommendations for clinical use of data on neutralizing antibodies to interferon-beta therapy in MS, was published by an international expert panel sponsored by the Neutralizing Antibodies on Interferon Beta in MS (NABINMS) Consortium [25]. To improve the consistency of results among laboratories performing NAb testing, the NABINMS expert panel recommends a validated assay, for example the common EMA, using IFN-β1a for MxA induction regardless of the patient’s disease-modifying beta-interferon, using A549 cells, and reporting titers in TRUs [25]. A summary of the NABINMS key recommendations for NAb testing is provided in the Section Clinical Implications of IFN NAbs. When, as noted above, a fixed amount of IFN is used, the procedure is known as the constant IFN method. A major limitation of the constant IFN method is that high concentrations of serum, for example dilutions less than 1:20, may be either toxic or stimulatory to test cells in culture. Accordingly, another option, known as the constant antibody method [23], uses a fixed dilution of serum to which are added serial dilutions of IFN. Because it is more than 10 times as sensitive as the constant IFN method and is able to detect NAb titers of 1–2 TRU/mL, it has been suggested as a better way to detect and measure NAbs [23].
Prevalence of NAbs to Beta-Interferons The prevalence of NAbs to the IFNs used in MS have been evaluated in large clinical trials (i.e., more than 100 subjects per treatment arm), extension studies, and post hoc analyses of these trials, as well as smaller NAb-specific studies. Data from key clinical trials of relapsing–remitting MS (RRMS), secondary progressive
Neutralizing Antibodies and Multiple Sclerosis
45
Table 3.1 Prevalence of NAbs to Beta-Interferons in Key Clinical Trials Interferon Preparation IFN Dose IFN Dose Name of Study (mcg) Frequency
Definition of Study NAb Positivity Duration (NU/mL) (months)
% NAbPositive Patients
IFN-β1b SC IFNB Study Group† [26]
250
QOD
2 Consecutive titers 20
36
38
SPMS European Study Group [27]
250
QOD
2 Consecutive titers 20
36
28
SPMS North American Study Group [28]
250
QOD
2 Consecutive titers 20
36
23
BENEFIT [29]
250
QOD
At least 1 titer 60 20
32
PRISMS-4 [30]
22 44
TIW TIW
At least 1 titer 48 20
24 14
PRISMS LTFU [31]
22 44
TIW TIW
At least 1 titer 72–96 20
21 13
SPECTRIMS [32]
22 44
TIW TIW
At least 1 titer 36 20
21 15
30
QWK
>Placebo
24
22
European IFN-β1a 30 Dose-Comparison [34]
QWK
At least 1 titer 36 20
2
CHAMPS [35]
QWK
At least 1 titer 30 20
2
IFN-β1a SC
IFN-β1a IM MSCRG [33]
30
SPMS, secondary progressive multiple sclerosis; BENEFIT, the Betaferon/Betaseron in Newly Emerging MS for Initial Treatment Study; PRISMS-4, Prevention of Relapses and Disability by Interferon beta-1a Subcutaneously in MS; PRISMS LTFU, PRISMS Long-Term Follow-Up; SPECTRIMS, Secondary Progressive Efficacy Clinical Trial of Recombinant Interferon-Beta-1a in MS; MSCRG, Multiple Sclerosis Collaborative Research Group; CHAMPS, The Controlled High-Risk Avonex MS Trial; QOD, every other day; TIW, thrice a week; QWK, every week. † Reanalysis of data from initial clinical trial.
MS (SPMS), and clinically isolated syndromes (CIS) are shown in Table 3.1. Comparisons of results among trials are limited by differences in methods of NAb assessment, definitions of NAb positivity, testing intervals, and duration of the trials [25]. In some studies, subjects were tested for NAbs after BAbs screening, while in others only NAb testing was performed [19].
46
Neuroinflammation
The percentage of patients who developed NAbs in clinical trials ranges from 2% to 38% (less than 5% for IFN-β1a IM and 13–38% for the SC IFNs), with IFN-β1b demonstrating the highest percentage of NAb-positive subjects (see Table 3.1). Aforementioned changes made in the production of IFN-β1a IM after its pivotal trial in 1996 led to a consistent decrease in the prevalence of NAb positivity [19]. Surprisingly, the pivotal trial of IFN-β1a SC known as PRISMS demonstrated an inverse dose relationship for NAbs. NAbs occurred in 24% of subjects on low doses (22 mcg SC thrice a week) but only 13% of subjects on high doses (44 mcg SC thrice a week) [36]. A similar inverse relationship was maintained in the trial’s 2-year extension called PRISMS-4, and in the clinical trial for IFN-β1a SC in SPMS known as SPECTRIMS [30,32]. In contrast, data from the EVIDENCE trial, which compared clinical outcomes of subjects with RRMS randomized to either IFN-β1a SC 44 mcg thrice a week or IFN-β1a IM 30 mcg weekly, showed that 25% of patients on high-dose IFN-β1a SC developed NAbs [37]. IFN-β1a SC (Rebif) was recently reformulated in part to reduce its immunogenicity. It is currently available in Europe, but not the United States, as Rebif New Formulation (RNF). A phase IIIb open-label study evaluated the immunogenicity of RNF by comparing the percentage of subjects who developed NAbs at 96 weeks to data from the EVIDENCE (IFN-β1a SC 44 mcg thrice a week versus IFN-β1a IM 30 mcg weekly) and REGARD (IFN-β1a SC 44 mcg thrice a week versus GA 20 mg daily) trials in RRMS [38]. Results showed that RNF had a lower proportion of NAb-positive patients versus the original formulation: 17.4% compared to 21.4% and 27.3% in EVIDENCE and REGARD respectively, although formal hypothesis testing was not performed [38]. Among the beta-interferon preparations, IFN-β1a IM appears to be the least immunogenic [8,9,25]. IFN-β1b SC treatment is associated with higher NAb titers than IFN-β1a SC, although IFN-β1b SC treatment has a higher rate of seroreversion [25]. Reversion of NAb positivity during treatment with beta-interferon will be discussed in the next section.
Interferon Antibody Positivity and Persistence NAb positivity is defined by titer level, persistence over time, or both. Many of the large MS clinical trials used a NAb titer of at least 20 neutralizing units (NU/mL) as the threshold value for positivity. Other studies support the use of higher cutoffs [8]. The IFN-β1b MS Study Group [26] and SPMS trials [27,28] required two consecutive titers of at least 20 NU/mL for positivity, while other trials required a single titer. A recent study defined low, medium, and high NAb titer ranges as 20–100 NU/mL, 102–500 NU/mL, and greater than 500 NU/mL respectively [6]. The lowest NAb titer that produces a biologic effect in patients is unknown [7]. The NABINMS panel report recommended separate cutoffs for IFN-β1a and IFN-β1b as follows: for negative, low/intermediate, and high titers of IFN-β1a (expressed as TRUs), ranges are less than 20, 20–100, and greater than 100 respectively. The IFNβ1b equivalent ranges are somewhat higher: less than 20, 20–400, and greater than 400.
Neutralizing Antibodies and Multiple Sclerosis
47
Studies investigating the duration and risk factors for NAb persistence to betainterferon show that higher titers generally persist longer than lower titers [25]. A presumed mechanism for the development of NAb persistence is that low-affinity antibody binding is followed by high-affinity binding after more months on therapy [9]. Most patients who develop NAbs do so between 9 and 18 months of treatment, although NAbs may develop as early as 1.5 months after initiation of treatment [12,15]. Prior to 1 year of beta-interferon therapy, titer level is unreliable for predicting persistence in comparison to titer levels at 2 years or more. For example, a titer greater than 100 TRU at 2 years is an excellent predictor of persistence [25]. Reversion to BAb- or NAb-negative status may occur either after discontinuation of an IFN or even during continued treatment [7,9]. A higher proportion of patients treated with IFN-β1b serorevert compared to those treated with IFN-β1a [9]. Categories of NAb status persistence used in clinical trials allow for comparison of NAb status with clinical outcomes and are (1) once positive, always positive, which considers a positive titer found at any time in a study as positive for the entire study; (2) interval-positive, which refers to NAb positivity at the end of a specific time interval; and (3) anytime-positive, which refers to a positive titer that is carried forward from that time on for the duration of the study. Interval-positive analysis allows for comparisons when a patient’s NAb status reverts from positive to negative [39].
Clinical Implications of Interferon NAbs Whether NAbs conclusively diminish or abrogate the therapeutic effects of betainterferons has been a subject of much debate [8]. Nevertheless, it appears that persistently high NAb titers are associated with a negative impact upon the therapeutic effects of beta-interferons [9,19,25,30,38]. Data from clinical trials longer than 2 years indicate a negative impact of interferon NAbs on relapse rate and magnetic resonance imaging (MRI) measures [14,19,25]. For example, a reduced therapeutic effect among subjects with NAb positivity (once positive, always positive) was reported in the 1996 reanalysis of the IFN-β1b pivotal trial that analyzed data up to 36 months [26]. Relapse rate and MRI activity were also compared between NAbpositive and negative subjects in a post hoc analysis of PRISMS-4 using intervalpositive and anytime-positive analysis. On interval-positive analysis, a negative effect upon annual relapse rate between NAb-positive and -negative groups was found. Results from the same study showed reduced efficacy on MRI measures for NAb-positive subjects (anytime-positive analysis) [39]. Additional clinical findings from other studies showed that (1) surprisingly, patients who became NAb-positive had reduced relapse rates during the first 6–12 months of beta-interferon therapy [11] and (2) the negative impact of NAb positivity upon relapse rate occurred regardless of the type of beta-interferon used [40]. The essential question for an individual patient is whether IFN treatment has induced an immunologic response that diminished or abrogated the drug’s efficacy. As a complementary test to the measurement of functional bioactivity in vitro,
48
Neuroinflammation
a separate MxA mRNA induction test was developed to monitor a patient’s response in vivo. Studies found the MxA mRNA test correlates with NAb titers and MRI outcome measures. Although the in vivo test is costly and not widely available, it may be a promising adjunct to NAb testing for patients with slightly elevated titers [25]. Methods to reduce NAb levels and restore IFN bioactivity in patients who were NAb-positive and without in vivo bioactivity were recently investigated using monthly, high-dose, pulsed oral methylprednisolone (MP) [41]. The study authors concluded that MP had no significant effect upon either measure. They concluded that changing immunomodulatory therapy remains the best option for patients with NAb-positive status and absent in vivo MxA bioactivity assessments. Three evidence-based reports have been published to guide clinicians about the monitoring and management of NAbs to IFNs (Table 3.2). Although the American Academy of Neurology (AAN) report published in 2007 acknowledged that NAbs in high titers are probably associated with reduced therapeutic efficacy, the AAN report concluded that there was insufficient information to make recommendations in terms of NAb testing (i.e., when and which test to use). In contrast, the EFNS Task Force guidelines (2005) offered specific recommendations on the use of NAb testing for clinical decision making. The consensus opinion given in the NABINMS report (2010) is that NAbs affect therapeutic efficacy at the group level and can be considered in the clinical decision to stop or continue beta-interferon therapy at the individual level. The NABINMS report links recommendations for both NAb assessment and disease-modulating treatment (for patients treated with beta-interferon for 1–2 years) to three categories of clinical disease activity: (1) clinically well, (2) intermediate disease activity, and (3) doing poorly. The panel experts summarize their recommendations: First, in general, even in patients doing well clinically, NAb and/or [in vivo] MxA bioactivity assessments should have therapeutic consequences. Particularly in cases of sustained high-titre NAb positivity and/or lack of MxA bioactivity, a switch to
Table 3.2 Consensus Statements for Clinical Use of NAb Testing EFNS Guidelines
AAN Evidence Report
NABINMS Recommendations†
Test NAbs in specialized laboratories Use validated in vitro NAb assay (CPE or MxA) Calculate NAb titer by Kawade formula Specified intervals for NAb testing Discontinue IFN therapy if sustained high NAb titers
Insufficient information on “when to test, which test to use, how many tests are necessary, and which cutoff titer to apply”
Use validated in vitro NAb assay Base clinical decision making on disease activity, NAb titers, or both Consider use of MxA in vivo assay in patients with low NAb titers Switch therapy if patient is doing poorly
†
Recommendations specifically apply to patients treated with IFN for at least 1–2 years.
Neutralizing Antibodies and Multiple Sclerosis
49
non-interferon-beta therapy should be considered. Second, in patients with intermediate disease activity, continuation of interferon-beta therapy could be considered in NAb-negative patients, whereas high NAb titres and/or lack of MxA bioactivity should suggest a switch to non-interferon-beta therapy. Third, in patients doing poorly a switch of therapy should be initiated, independent of NAb or MxA bioactivity outcomes.
Once the decision is made to change immunomodulating therapy, the NABINMS expert panel advises against switching from one beta-interferon preparation to another because of reported NAb cross-reactivity among beta-interferon preparations [25].
Antibodies to GA Glatiramer acetate (GA, Copaxone) is a heterogeneous mixture of synthetic polypeptides made from four amino acids: L-glutamic acid, L-alanine, L-lysine, and L-tyrosine [42]. Anti-GA antibodies develop in most, if not all, patients treated with GA [19,43,44]. Anti-GA antibodies are assessed by radioimmunoassay or ELISA [43]. Three clinical trials found that anti-GA antibodies (1) peaked 3 months after starting treatment, (2) declined at 6 months to a steady level above baseline, and (3) had no impact upon clinical efficacy [43]. A retrospective study of 42 patients treated with GA for at least 1 year found that anti-GA antibodies had an inhibitory effect on GA-induced T-cell proliferation as well as reversion of GA-stimulated IL-10 and IL-4 anti-inflammatory cytokines [44]. The therapeutic significance and biologic significance of anti-GA antibodies await further investigation [14,19].
Antibodies to Natalizumab Natalizumab is a recombinant, humanized monoclonal antibody produced in murine myeloma cells [45]. Natalizumab’s efficacy in MS is based on results of two phase III clinical trials. It was administered as monotherapy in the AFFIRM trial and as add-on therapy to IFN-β1a in the SENTINEL trial [46]. The grafted murine segment at natalizumab’s binding region is a potential target of anti-natalizumab antibodies [46,47]. Both the incidence and effect of antibodies to natalizumab were investigated in AFFIRM and SENTINEL [46]. Testing for anti-natalizumab antibodies was done at baseline and every 3 months using ELISA and a flow cytometric assay. Results of the two assays showed high concordance with one another [46]. A serum antibody concentration of 0.5 mcg/mL on ELISA was used as a cutoff to define antibody negative (0.5 mcg/mL at all post-baseline visits), transiently positive (at least 0.5 mcg/mL at a single post-baseline visit), or persistently positive (at least 0.5 mcg/mL at two or more post-baseline visits at least 42 days apart or a single assessment with no additional samples). In AFFIRM, 9% of subjects became antibody-positive and in SENTINEL 12% of subjects became antibody-positive. Six percent in each trial were persistently positive
50
Neuroinflammation
[46]. Of those, most developed antibodies within 3 months of treatment [14]. Persistent anti-natalizumab antibodies were associated with a decreased serum natalizumab concentration, increased disease activity on MRI, and an increased incidence of infusion reactions including hypersensitivity. The relapse rate in subjects with persistent antibodies was not different from the placebo group. A reduced benefit was seen on disability progression in AFFIRM only, the significance of which is uncertain [46]. In terms of clinical management, patients with recurrent infusion reactions or breakthrough disease activity should be tested for anti-natalizumab antibodies. Antibody formation is also associated with prolonged interruption of therapy after exposure of less than three doses of natalizumab [48]. The serum test specimen should be drawn just before a natalizumab infusion or no earlier than 2 weeks after infusion [48]. Because antibodies detected during the first 6 months of treatment may disappear, repeat testing is recommended after an additional 3 months. According to the natalizumab prescribing information, the provider should consider the risks and benefits of natalizumab therapy in patients with persistently positive antibodies.
Conclusion The current protein-based immunomodulating therapies for MS have proven clinical efficacy. Even so, some patients on these therapies experience breakthrough disease activity, bringing into question whether the drug is still effective. It is well established that anti-drug antibodies or NAbs induced by beta-interferons diminish or abrogate the bioactivity of interferons in vitro. Conclusive evidence that NAbs also diminish the clinical efficacy of beta-interferons has been more challenging to demonstrate, as discussed in this chapter. Differing approaches to the clinical use of NAb testing are given in the AAN evidence report and EFNS Task Force guidelines. Recently, an international panel with expertise in many aspects of MS developed a set of practical recommendations on the topic of NAbs to beta-interferons. Whether anti-drug antibodies to GA decrease its clinical efficacy is unknown. Persistent anti-natalizumab antibodies are correlated with loss of drug bioactivity, decreased clinical efficacy, and adverse infusion events.
References [1] Schellekens H. Bioequivalence and the immunogenicity of biopharmaceuticals. Nat Rev Drug Discov 2002;1:457–62. [2] National Multiple Sclerosis Society. The MS disease-modifying drugs: general information. Available at http://www.nationalmssociety.org/about-multiple-sclerosis/what-weknow-about-ms/treatments/download.aspx?id45; 2009 [accessed July 19, 2010]. [3] Walsh G. Biopharmaceuticals: biochemistry and biotechnology. 2nd ed. West Sussex, England: John Wiley & Sons Ltd; 2003.
Neutralizing Antibodies and Multiple Sclerosis
51
[4] Grossberg SE, Kawade Y, Kohase M, Yokoyama H, Finter N. The neutralization of interferons by antibody I. Quantitative and theoretical analyses of the neutralization reaction in different bioassay systems. J Interferon Cytokine Res 2001;21:729–42. [5] Hartung HP, Polman C, Bertolotto A, Deisenhammer F, Havrdova E, Hemmer B, et al. Neutralising antibodies to interferon beta in multiple sclerosis: expert panel report. J Neurol 2007;254:827–37. [6] Gneiss C, Brugger M, Millonig A, Fogdell-Hahn A, Rudzki D, Hillert J, et al. Comparative study of four different assays for the detection of binding antibodies against interferon-beta. Mult Scler 2008;14:830–6. [7] Bellomi F, Bramanti P, Trojano M, Scagnolari C, Muto A, Sessa E, et al. Neutralizing and binding antibodies to interferon beta in patients with multiple sclerosis: a comparison of assay results from three Italian Centers. J Immunoassay Immunochem 2009;30:40–50. [8] Goodin DS, Frohman EM, Hurwitz B, O’Connor PW, Oger JJ, Reder AT, et al. Neutralizing antibodies to interferon beta: assessment of their clinical and radiographic impact: an evidence report. Neurology 2007;68:977–84. [9] Sorensen PS, Deisenhammer F, Duda P, Hohlfeld R, Myhr K-M, Palace J, et al. Guidelines on use of anti-IFN-beta antibody measurements in multiple sclerosis: report of an EFNS Task Force on IFN-beta antibodies in multiple sclerosis. Eur J Neurol 2005;12:817–27. [10] Deisenhammer F, Schellekens H, Bertolotto A. Measurement of neutralizing antibodies to interferon beta in patients with multiple sclerosis. J Neurol 2004;251(Suppl. 2):II/31–9. [11] Sorensen PS, Koch-Henriksen N, Bendtzen K. Are ex vivo neutralizing antibodies against IFN-B always detrimental to therapeutic efficacy in multiple sclerosis. Mult Scler 2007;13:616–21. [12] Hesse D, Sorensen PS. Using measurements of neutralizing antibodies: the challenge of IFN-beta therapy. Eur J Neurol 2007;14:850–9. [13] Oger J, Gibbs E. Binding antibodies: Vancouver’s perspective. Mult Scler 2007;13:S36–43. [14] Fox EJ, Vartanian TK, Zamvil SS. The immunogenicity of disease-modifying therapies for multiple sclerosis: clinical implications for neurologists. Neurologist 2007;13:355–62. [15] Cohen B, Oger J, Gagnon A, Giovannonni G. The implications of immunogenicity for protein-based multiple sclerosis therapies. J Neurol Sci 2008;15:7–17. [16] Rossman HS. Neutralizing antibodies to multiple sclerosis treatments. J Manag Care Pharm 2004;10(Suppl. S-b):S12–8. [17] Goodin DS, Frohman EM, Hurwitz B, O’Connor PW, Oger JJ, Reder AT, et al. Neutralizing antibodies to interferon beta: assessment of their clinical and radiographic impact: an evidence report. Neurology 2007;68:977–84. Supplemental Material. Overview of Interferon Biology [18] Hoffmann S, Cepok S, Grummel V, Lehmann-Horn K, Hackermueller J, Stadler PF, Hartung H, et al. HLA- DRB1*0401 and HLA-DRB1*0408 are strongly associated with the development of antibodies against interferon-b therapy in multiple sclerosis. Am J Hum Genet 2008;83:219–27. [19] Deisenhammer F. Neutralizing antibodies to interferon-beta and other immunological treatments for multiple sclerosis: prevalence and impact on outcomes. CNS Drugs 2009;23:379–96. [20] Lallemand C, Meritet JF, Erickson R, Grossberg SE, Roullet E, Lyon-Caen O, et al. Quantification of neutralizing antibodies to human type I interferons using
52
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30] [31]
[32]
[33]
[34]
[35]
Neuroinflammation
division-arrested frozen cells carrying an interferon-regulated reporter-gene. J Interferon Cytokine Res 2008;28:393–404. WHO Expert Committee on Biological Standardization. Thirty-fifth report. World Health Organization Technical Report Series 725. World Health Organization, Geneva; 1985. Seventh WHO Informal Consultation on Standards for cytokines, growth factors and endocrinological substances. The National Institute for biological standards and control (NIBSC), UK, 20–21 October 2003. World Health Organization Quality Assurance and Safety of Biologicals; April 2004. Grossberg SE, Kawade Y, Grossberg LD. The neutralization of interferons by antibody III. The constant antibody bioassay, a highly sensitive quantitative detector of low antibody levels. J Interferon Cytokine Res 2009;29:93–104. Grossberg SE, Kawade Y, Kohase M, Klein JP. The neutralization of interferons by antibody II. Neutralizing antibody unitage and its relationship to bioassay sensitivity: the tenfold reduction unit. J Interferon Cytokine Res 2001;21:743–55. Polman CH, Bertolotto A, Deisenhammer F, Giovannonni G, Hartung H, Hemmer B, et al. Recommendations for clinical use of data on neutralizing antibodies to interferonbeta therapy in multiple sclerosis. Lancet Neurol 2010;9:740–50. IFNB Multiple Sclerosis Study Group and the UBC MS/MRI Analysis Group. Neutralizing antibodies during treatment of multiple sclerosis with interferon beta 1-1b: experience during the first three years. Neurology 1996;47:889–94. Polman C, Kappos L, White R, Dahlke F, Beckmann K, Pozzilli C, et al. Neutralizing antibodies during treatment of secondary progressive MS with interferon beta-1b. Neurology 2003;60:37–43. Panitch H, Miller A, Paty D, Weinshenker B. and the North American Study Group on Interferon beta-1a in Secondary Progressive MS. Interferon beta-1b in secondary progressive MS: results from a 3-year controlled study. Neurology 2004;10:126–38. Kappos L, Freedman MS, Polman CH, Edan G, Hartung H, Miller DH, et al. for the BENEFIT Study Group. Long-term effect of early treatment with interferon beta-1b after a first clinical event suggestive of multiple sclerosis: 5-year active treatment extension of the phase 3 BENEFIT trial. Lancet Neurol 2009;8:987–97. PRISMS Study Group and the UBC MS/MRI Analysis Group. PRISMS-4: long-term efficacy of interferon-beta-1a in relapsing MS. Neurology 2001;56:1628–36. Kappos L, Traboulsee A, Constantinescu C, Eralinna JP, Forrestal F, Jongen P, et al. Long-term subcutaneous interferon beta-1a therapy in patients with relapsing–remitting MS. Neurology 2006;67:930–31. Data supplement, . Li DKB, Zhao GJ, Paty DW. the UBC MS/MRI Analysis Research Group and the SPECTRIMS Study Group. Randomized controlled trial of interferon beta-1a in secondary progressive MS: MRI results. Neurology 2001;56:1505–13. Jacobs LD, Cookfair DL, Rudick RA, Herndon RM, Richert JR, Salazar AM, et al. Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. Ann Neurol 1996;43:79–87. Clanet M, Radue EW, Kappos L, Hartung HP, Hohfeld R, Sandberg-Wollheim M, et al. A randomized, double-blind, dose-comparison study of weekly interferon beta-1a in relapsing MS. Neurology 2002;59:1507–17. Jacobs LD, Beck RW, Simon JH, Kinkel RP, Brownscheidle CM, Murray TJ, et al. Intramuscular interferon beta-1a therapy initiated during a first demyelinating event in multiple sclerosis. N Engl J Med 2000;343:898–904.
Neutralizing Antibodies and Multiple Sclerosis
53
[36] PRISMS Study Group. Randomized double-blind placebo-controlled study of interferon b-1a in relapsing/remitting multiple sclerosis. Lancet 1998;352:1498–504. [37] Panitch H, Goodin DS, Francis G, Chang P, Coyle PK, O’Connor P, et al. Randomized, comparative study of interferon beta-1a treatment regimens in MS: the EVIDENCE trial. Neurology 2002;59:1496–506. [38] Giovannoni G, Barbarash O, Casset-Semanaz F, King J, Metz L, Pardo G, et al. Safety and immunogenicity of a new formulation of interferon b-1a (Rebif® New Formulation) in a Phase IIIb study in patients with relapsing multiple sclerosis: 96-week results. Mult Scler 2009;15:219–28. [39] Francis GS, Rice G, Alsop JC. for the PRISMS (Prevention of Relapses and Disability by Interferon Beta-1a Subcutaneously in Multiple Sclerosis) Study Group. Interferon beta-1a in MS results following development of neutralizing antibodies in PRISMS. Neurology 2005;65:48–55. [40] Koch-Henriksen N, Sorensen PS, Bendtzen K, Flachs EM. The clinical effect of neutralizing antibodies against interferon-beta is independent of the type of interferon-beta used for patients with relapsing-remitting multiple sclerosis. Mult Scler 2009;15:601–5. [41] Hesse D, Frederiksen JL, Koch-Henriksen N, Schreiber K, Stenager E, Heltberg A, et al. Methylprednisolone does not restore biological response in multiple sclerosis patients with neutralizing antibodies against interferon-b. Eur J Neurol 2009;16:43–7. [42] Johnson KP. An approach to the treatment of multiple sclerosis. New York, NY: DiaMedica Publishing; 2010. [43] Brenner T, Arnon R, Sela M, Abramsky O, Meiner Z, Riven-Kreitman R, et al. Humoral and cellular immune responses to Copolymer 1 in multiple sclerosis patients treated with Copaxone®. J Neuroimmunol 2001;115:152–60. [44] Salama H, Hong J, Zang Y, El-Mongui A, Zhang J. Blocking effects of serum reactive antibodies induced by glatiramer acetate treatment in multiple sclerosis. Brain 2003;126:2638–47. [45] Biogen Idec Inc., Elan Pharmaceuticals Inc. TYSABRI Prescribing Information. US Food and Drug Administration; May 2010. [46] Calabresi PA, Giovannoni G, Confavreux C, Galetta SL, Havrdova E, Hutchinson M, et al. The incidence and significance of anti-natalizumab antibodies: results from AFFIRM and SENTINEL. Neurology 2007;69:1391–403. [47] Freedman MS, Pachner AR. Neutralizing antibodies to biological therapies. A “touch of gray” vs a “black and white” story. Neurology 2007;69:1386–8. [48] Coyle PK, Foley JF, Fox EJ, Jeffery DR, Munschauer III FE, Tornatore C. Best practice recommendations for the selection and management of patients with multiple sclerosis receiving natalizumab therapy. Mult Scler 2009;15:S26–36.
4 Animal Models of Multiple Sclerosis Fumitaka Sato*, Seiichi Omura*, Nicholas E. Martinez, Ikuo Tsunoda Department of Microbiology and Immunology, Louisiana State University Health Sciences Center, School of Medicine in Shreveport, Shreveport, LA 71130, USA
Etiology, Clinical Course, and Pathology Etiologies of Multiple Sclerosis and Its Animal Models Multiple sclerosis (MS) is an inflammatory demyelinating disease in the central nervous system (CNS) [1–3]. Although the precise etiology of MS remains unclear, MS has been proposed to be a disease caused by interactions among autoimmunity, virus infections, and/or genetic factors (Figure 4.1). The autoimmune etiology of MS has been supported by clinical findings in which myelin-specific T cells and antibodies have been found in some MS patients [4]. Infiltration of immune cells is observed in the demyelinating lesions [5]. Immunomodulatory drugs, such as interferon (IFN)-β or anti-very late antigen (VLA)-4 antibody, are effective in some patients [6]. Experimentally, sensitization with CNS antigen can induce an autoimmune response, resulting in the inflammatory demyelinating disease, experimental autoimmune (allergic) encephalomyelitis (EAE) [7,8]. Microbial infections, particularly virus infection, have also been associated with MS pathogenesis [9,10]. Clinically, viruses and antiviral immune responses have been detected in some MS patients [11–13]. Experimentally, demyelinating diseases can be induced by viruses, such as canine distemper virus and murine hepatitis
Autoimmunity
Virus infection
MS?
Others
(genetic factors, sex…)
*Drs. Sato and Omura contributed equally. Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00004-6 © 2011 Elsevier Inc. All rights reserved.
Figure 4.1 The etiology of MS has several hypotheses. The most common hypotheses involve viral infections and/ or autoimmune responses. While many other factors have been associated with MS, multiple factors may combine to initiate the disease. Theiler’s murine encephalomyelitis virus (TMEV) and EAE models allow us to address both autoimmune and viral demyelinating disease in combination with other factors that may contribute to MS.
56
Neuroinflammation
virus [14,15]. Among viral models for MS, Theiler’s murine encephalomyelitis virus (TMEV) infection has been widely used since 1975 [16]. In the TMEV model, various immune cells play an important role in the pathogenesis of demyelination, as we will discuss in this review. Sex and genetic factors also play a role in MS [17,18]. There are more than 2 million MS patients in the world, with a ratio of women to men of 2.6:1 [19,20]. The incidence of MS is higher in North America and Europe than in Asia; for instance, in Scotland and offshore island, it is 145 to 193/100,000 and in Japan it is 7.7/100,000 [21–23]. A study of MS in monozygotic versus dizygotic twins demonstrated a concordance of 25.9% in monozygotic twins as opposed to 2.3% in dizygotic twins [24]. The human leukocyte antigen (HLA), particularly HLA DRB1*1501, has been reported to influence the severity of MS [25]. Genes, including interleukin (IL)-2 receptor α chain, IL-7 receptor, and tumor necrosis factor (TNF) receptors, may influence the risk of developing MS [25–27]. Other genes, such as the vitamin D receptor gene [28] and the estrogen receptor gene [29], have also been proposed to be factors in susceptibility to MS. Sex and genetic background are also important for disease induction in both EAE and TMEV infection [7,30]. Major histocompatibility complex (MHC) class I antigen is important for resistance in TMEV infection [31,32]. While SJL/J mice have been most widely used as animal models for several immune-mediated diseases, including EAE and TMEV infection, SJL/J mice have genetic abnormalities, such as a defect of dysferlin on chromosome 2q13 [33] and nearly 50% deletion of T-cell receptor (TCR) Vβ [34], and express the I-A but not the I-E class II molecule of the MHC [35].
EAE and TMEV Infection In 1933, EAE was induced in monkeys with multiple intramuscular injections of a rabbit brain emulsion [36]. In the 1940s, when CNS antigen was emulsified in complete Freund’s adjuvant (CFA) and injected into rodents, animals reproducibly developed an acute encephalomyelitis within a few weeks, now known as “active EAE” [37]. Paterson [38] reported passive transfer of EAE by lymphocytes; “passive or adaptive transfer EAE” was obtained by injection of activated encephalitogenic T cells in 1960. Since then, EAE has been induced by injection of various CNS antigens or CNS antigen-specific T cells. TMEV was isolated from the CNS of mice with spontaneous flaccid paralysis of the hind limbs by Max Theiler [39]. Daniels et al. [40] first reported demyelination in TMEV infection. TMEV belongs to the family Picornaviridae that consists of nonenveloped positive sense single-stranded RNA viruses [41]. Based on neurovirulence, TMEV is divided into two subgroups, GDVII and Theiler’s original (TO). The GDVII subgroup is highly neurovirulent in mice, resulting in death within 1–2 weeks [42]. The TO subgroup contains Daniels (DA) and BeAn8386 (BeAn) strains and causes an acute polioencephalomyelitis 1 week after infection (acute phase), followed by an inflammatory demyelinating disease 1 month after infection (chronic phase) [7]. TMEV predominantly infects neurons during the acute phase [43] and infects macrophages and glial cells, including oligodendrocytes (myelin-forming
Animal Models of Multiple Sclerosis
57
cells), during the chronic phase [42,44–46]. Unlike EAE, TMEV induces an inflammatory demyelinating disease in mice only [47].
Clinical Courses of MS, EAE, and TMEV Infection The clinical courses of MS are classified into four types [48,49]: relapsing–remitting (RR), primary progressive (PP), secondary progressive (SP), and progressive–relapsing (PR) (Figure 4.2). RR-MS is defined by disease attacks (“relapses”) with recovery (“remission”) and is the most common (85–90%) [50]. SP-MS is defined by an initial RR disease course followed by disease progression. Approximately 95% of RR-MS patients later develop SP-MS [51]. PR-MS is a progressive disease from the onset, with acute relapses; periods between relapses have continuous progression. PP-MS (10– 15% of patients) progresses continuously from the onset without recovery. While disease activities, including relapse and remission, in RR-MS have been associated with the balance between T helper (Th)-cell subsets such as Th1 and Th2 cells, it is unclear whether immunologic profiles are the same between RR-MS and other forms of MS.
Human
Disability
ADEM or CIS Single attack
Human
RR-MS
MOG35–55-EAE MBP-EAE
(B)
(A) Human SP-MS Disability
Mouse PLP-EAE MOG92–106-EAE in SJL/J Relapse
Mouse Monophasic EAE
Mouse MOG92–106-EAE in SJL/J + UV or apoptosis i.v A.SW + Bordetella pertussis
Remission
Time
Mouse Human MOG92–106 in A.SW PP-MS Polioencephalomyelitis
TMEV infection Time
(C)
(D)
Figure 4.2 Clinical courses of MS and its animal models. (A) In the monophasic model, a single attack is followed by recovery with no relapse. In EAE, MBP-induced EAE and MOG35–55induced EAE develop a monophasic episode with complete or incomplete recovery, respectively. In humans, it may correspond to acute disseminated encephalomyelitis (ADEM) or clinically isolated syndrome (CIS). (B) In RR-MS, disease attack (relapse) and recovery (remission) occur alternately. In mouse EAE, PLP and MOG92–106 induce RR-EAE in SJL/J mice. (C) In SP-MS, the initial RR disease course is followed by disease progression. SP-EAE can be induced by MOG92–106 in SJL/J mice with ultraviolet (UV) radiation or injection of apoptotic cells, or in A.SW mice with Bordetella pertussis (BP) injection. (D) In PP-MS, the disease progresses continuously from the onset without remission. PP-EAE model can be induced by MOG92–106 sensitization in A.SW mice. TMEV infection causes acute polioencephalomyelitis (with no demyelination) during the acute phase followed by chronic progressive demyelinating disease.
58
Neuroinflammation
Clinical courses of the animal models for MS are also variable. The monophasic EAE model was first established by injection of myelin basic protein (MBP) or CNS and myelin homogenates [36,52]. However, this monophasic model may be more representative of the human diseases clinically isolated syndrome (CIS) or acute disseminated encephalomyelitis (ADEM) than MS. CIS is a monophasic clinical event involving the CNS that may or may not lead to MS [53]. ADEM is an acute monophasic inflammatory demyelinating disease that occurs after infection or vaccination. Later, by using myelin proteolipid protein (PLP), an EAE model for RR-MS was established [54,55]. More recently, myelin oligodendrocyte glycoprotein (MOG) has been used for EAE induction. In MOG-induced EAE, unlike in MBP- and PLPinduced EAE, not only T cells but also antibodies play a role in demyelination. In addition, MOG35–55 can induce EAE in C57BL/6 mice whose transgene or knockout (KO) strains are readily available. Most of the EAE models develop monophasic or RR disease; only a few PP- and SP-EAE models have been established [56,57]. TMEV-infected mice develop progressive disease.
Pathologies of MS, EAE, and TMEV Infection Pathologically, MS can be divided into several subtypes based on T-cell and macrophage infiltration, antibody and complement deposition, and oligodendrocyte apoptosis [58]. The lesions are segregated into four patterns of myelin destruction. Pattern I is T-cell and macrophage-associated demyelination where T-cell infiltration and activated macrophage/microglia are detected. Pattern II is antibody-mediated demyelination where complement-mediated lysis of antibody-targeted myelin is suggested in addition to the mechanisms of pattern I. Pattern III is distal oligodendrogliopathy-associated demyelination where degeneration of distal oligodendrocyte processes, oligodendrocyte apoptosis, and demyelination are found. Pattern IV is primary oligodendrocyte degeneration, and these lesions are the least common in the MS population. Because of the heterogeneity in pathologic features, each pathology pattern has been speculated to be triggered by several different mechanisms. For example, autoimmune T cells and antibody against myelin have been proposed to be the cause of inflammatory demyelinating lesions (pattern II), while ischemic, toxic, metabolic, and/or viral infections have been speculated to be the cause of oligodendrocyte apoptosis (pattern III). So far, attempts to find the cause in individual MS patients have been unsuccessful; we do not know whether the different etiologies contribute to the different clinical and pathologic phenotypes. Neuropathology of EAE induced with MBP and PLP resembles pattern I, while some MOG-induced EAE is similar to pattern II [49]. Oligodendrocyte apoptosis can be seen in TMEV infection and in some EAE models [7,59]. While different etiologies can cause different neuropathology, one single cause can induce different pathologies and clinical courses depending on the patient’s genetic background. MOG92–106 peptide sensitization in different mouse strains results in different clinical and pathologic outcomes [49]. SJL/J mice with MOGinduced EAE develop an inflammatory demyelinating RR disease with oligodendrocyte apoptosis. In contrast, A.SW mice with MOG-induced EAE develop PP disease accompanied by plaque-like demyelination and antibody deposition in the absence
Animal Models of Multiple Sclerosis
59
of oligodendrocyte apoptosis. In the presence of supplemental Bordetella pertussis (BP), A.SW mice with MOG-induced EAE develop SP disease [49] (Figure 4.2).
Demyelination Versus Axonal Degeneration (Neurodegeneration): Inside-Out Model of MS MS is characterized by demyelination and axonal degeneration in the CNS. The primary target in MS has been believed to be either myelin (myelinopathy) itself or oligodendrocytes (oligodendrogliopathy), and axonal degeneration is regarded as a secondary injury to demyelination. In this hypothesis, anti-myelin immune responses or direct virus infections of oligodendrocytes play an effector role in inflammatory demyelination. If inflammation that causes myelin damage is severe, it can secondarily damage axons. Here, the lesion develops from myelin (outside) to axon (inside), hence the name “Outside-In” model. EAE models induced by myelin antigens support the Outside-In model. However, histologic and neuroimaging studies demonstrated that axonal degeneration in the absence of demyelinating lesions occur in some MS patients [60], which cannot be explained by the classic Outside-In model. In viral models for MS, including TMEV and canine distemper virus infections, axonal degeneration has been shown to precede demyelination [61,62]. In addition, EAE has been shown to be induced by axonal antigens, including neurofilament light protein and contactin-2/transiently expressed axonal glycoprotein 1 (TAG-1) [63,64]. Here, the lesion develops from axon (inside) to myelin (outside), “Inside-Out” model [65–67]. In the Inside-Out model, axonal degeneration can lead to the induction of oligodendrocyte apoptosis, which results in secondary demyelination. Later, degenerated myelin and axonal antigens can be phagocytosed by microglia and macrophages, which can present myelin antigens and induce anti-myelin immune responses. These anti-myelin immune responses, in turn, attack myelin sheaths from the outside. Thus, Outside-In and Inside-Out models can make a vicious cycle, leading to disease progression, unless regulatory mechanisms stop the cascade reaction.
Immunology of MS, EAE, and TMEV Infection CD4 T Helper Cell Subsets CD4 Th cells have been believed to play a central role in the pathogenesis of MS. Naïve CD4 T cells can differentiate into four subsets: Th1, Th2, Th17, and regulatory T (Treg) cells, under distinct cytokine milieus (Figure 4.3). Th1-cell differentiation is initiated by IL-12, which induces T-box expressed in T cells (T-bet) [68]. Th1 cells produce large amounts of IFN-γ and IL-2, mediating cellular immunity such as delayed-type hypersensitivity (DTH) responses. IL-4 enhances the expression of GATA-binding protein 3 (GATA3), driving Th2-cell differentiation [69]. Th2 cells secrete IL-4, IL-5, and IL-13, promoting humoral immunity. The balance between transforming growth factor (TGF)-β and IL-6 acts to induce either retinoic acid receptor-related orphan receptor γt (RORγt), which is a marker for
60
Neuroinflammation
Naïve CD4+ T cell
TGF-β
TGF-β + IL-6
IL-12
IL-4
Treg
Th17
Th1
Th2
Foxp3
RORγ t
T-bet
GATA3
TGF-β, IL-10
IL-17, IL-21, L-22
IFN-γ, IL-2
IL-4, IL-5, IL-13
Figure 4.3 Th-cell subset differentiation. T-bet activated by IL-12 contributes to Th1-cell differentiation. IL-4 upregulates GATA3, polarizing naïve CD4 T cells into Th2 cells. Th17-cell differentiation is initiated by TGF-β and IL-6, inducing RORγt expression. TGF-β drives Foxp3 Treg cells.
Th17 cells, or transcription factor forkhead box P3 protein (Foxp3), which is a marker for Treg cells [70,71]. Th17 cells produce IL-17A, IL-17F, IL-21, and IL-22. Th17 cells are associated with antimicrobial immunity and autoimmunity. Treg cells secrete TGF-β and IL-10, and regulate the other Th-cell subsets [72].
Roles of Th1 Cells in EAE and TMEV Infection MS has been proposed to be a Th1-mediated disease, since Th1 immune responses have been associated with disease activity in MS patients [73,74]. For example, CD4 T-cell lines developed from cerebrospinal fluid of MS patients produced large amounts of IFN-γ and IL-2 [75]. Th1 cells are also associated with the pathogenesis of EAE. In EAE, large amounts of IFN-γ and IL-2 were secreted from CD4 T cells by in vitro stimulation and IFN-γ-producing T cells were observed in the CNS [76]. Myelin antigen-specific Th1 cells induced EAE upon passive transfer into naïve mice [76–78]. IL-12 neutralization with anti-IL-12 monoclonal antibody (mAb) injection protected susceptible SJL/J mice against mouse spinal cord homogenateinduced EAE [79]. Mice deficient in T-bet sensitized with MOG showed decreased severity of EAE compared with MOG-sensitized wild-type mice [80]. Also, CD4 T cells from T-bet-deficient mice sensitized with MOG produced low amounts of IFN-γ. These results support the hypothesis that Th1 cells are critical for EAE pathogenesis. However, IFN-γ deficient (IFN-γ2/2) mice have been reported to develop more severe EAE. In susceptible B10.PL mice, IFN-γ2/2 mice developed more severe MBP-induced EAE than wild-type mice [81]. Moreover, IFN-γ2/2 mice developed demyelinating disease in BALB/c mice, which are known to be resistant to MBPinduced EAE otherwise [82]. In the CNS of IFN-γ2/2 BALB/c mice, the enhanced infiltration of activated CD4 T cells and neutrophils was observed. Similarly, in the
Animal Models of Multiple Sclerosis
61
EAE-resistant 129/Sv mice, IFN-γ-receptor-deficient (IFN-γR2/2) mice developed severe EAE [83,84]. In addition, MBP sensitization induced lethal progressive EAE with extensive demyelination and neutrophil infiltration in the CNS in otherwise resistant C57BL/6 mice lacking IFN-γR [82]. Thus, IFN-γ may play a protective role in some EAE models. Th1 cells can play both protective and pathogenic roles in TMEV infection. During the acute phase of TMEV infection, Th1 cells seem to control the viral infection, leading to host defense against TMEV [85,86]. IFN-γ neutralization with antiIFN-γ mAb significantly accelerated the onset of disease after TMEV infection [87]. On the other hand, during the early chronic phase of TMEV infection, CD4 T-cellmediated DTH responses to TMEV have been suggested to induce demyelination in a “bystander” fashion [88]. IL-12 neutralization with anti-IL-12 mAb during the early chronic stage of TMEV infection decreased demyelinating disease [89]. During the late chronic phase of TMEV infection, anti-myelin Th1 cells induced by epitope spreading have been proposed to exacerbate the demyelinating disease [90].
Roles of Th2 Cells in EAE and TMEV Infection IL-4 production from Th2 cells can enhance the expression of GATA3, leading to the inhibition of Th1-cell differentiation and suppression of Th1-cell function [91]. In EAE, the adoptive transfer of PLP-specific Th2-cell clones prevented EAE in mice sensitized with PLP in which resistance to EAE is correlated with IL-4 production [92]. Neutralization of IL-4 rendered EAE-resistant BALB/c mice susceptible [79]. The enhancement of Th2 cells delayed the onset and decreased the severity of PLP-induced MOG [93]. Thus, Th2 cells have been proposed to play a protective role in EAE. However, Th2 cells can induce EAE under certain conditions. Lafaille et al. [94] demonstrated that the adoptive transfer of MBP-specific Th2 cells caused progressive EAE in immunocompromised recombination-activating gene-1 (RAG-1) KO or αβ T-celldeficient mice but not wild-type mice. Th2 immune responses have also been proposed to exacerbate demyelinating disease with the enhancement of pathogenic autoantibodies. Tsunoda et al. [56,95] also demonstrated that anti-MOG antibody in favor of Th2 immune responses induced progressive and fatal MOG-induced EAE in A.SW mice. In this model, extensive demyelination with immunoglobulin (Ig) deposition was observed in the CNS. In addition, SJL/J mice sensitized with MOG developed SP-EAE through injection of apoptotic cells. In this system, the enhancement of anti-MOG antibody production appears to be mediated by Th2-biased immune responses [95]. Similarly, in a SP-EAE mouse model induced by ultraviolet (UV) irradiation, high anti-MOG antibody responses were observed with a decrease in Th1 immune responses [96]. Thus, Th2 cells have been shown to have protective and detrimental roles in EAE. In TMEV infection, Th2 cells have been proposed to suppress inflammation and demyelination. Hill et al. [30] demonstrated that IL-4 treatment during the early chronic phase of TMEV infection ameliorated TMEV-induced inflammation and demyelinating disease with a reduction in anti-TMEV antibody responses. Although anti-TMEV antibody can neutralize the virus, it can cross-react with myelin lipid and act as demyelinating antibody [97]. Although Th2 cytokine mRNA has been
62
Neuroinflammation
demonstrated in the spinal cord during the chronic phase of TMEV infection [98], it is not clear whether Th2 cytokines play a beneficial role (suppression of encephalitogenic Th1 cells) or a detrimental role (by enhancing production of potential demyelinating antibody [97]) in demyelinating disease.
Roles of Th17 Cells in EAE and TMEV Infection The IL-17 cytokine family is composed of six members, IL-17A through F [99]. IL-17A-producing Th17 cells have been identified as a novel Th-cell subset [100,101]. Th17 cells can be differentiated from naïve CD4 T cells in the presence of IL-6 and TGF-β in mice, and produce IL-17F, IL-21, and IL-22 in addition to IL-17A (see Figure 4.3). IL-17A and F are pro-inflammatory cytokines. IL-17 has been detected in the peripheral blood, brain lesions, and cerebrospinal fluids from MS patients [102,103]. Thus, Th17 cells have attracted considerable attention in MS. Hofstetter et al. [104] first suggested the pathogenic role of Th17 cells in EAE induced with MOG. IL-17 production was detected in splenic T cells post-sensitization, but not from those of naïve mice by in vitro stimulation with MOG. IL-17 neutralization with IL-17-receptor-Fc-hybrid protein or anti-IL-17 mAb injection ameliorated EAE partially. Similarly, Komiyama et al. [105] reported that IL-17deficient (IL-17-/-) mice sensitized with MOG showed delayed onset and decreased severity of EAE compared with MOG-sensitized wild-type mice. Although IL-17 is produced from various cells, the major population of IL-17 producers was Th17 cells during the development of EAE. In addition, upon passive transfer into naïve wild-type mice, CD4 T cells from IL-17-/- mice sensitized with MOG significantly attenuated EAE induction compared with those from MOG-sensitized wild-type mice. Bettelli et al. [106] demonstrated that TGF-β transgenic mice sensitized with MOG had a higher frequency of Th17 cells and developed more severe EAE than wild-type mice. The precise role of Th17 cells in the development of EAE remains controversial. EAE has been considered as a CNS antigen-specific Th1-cell-mediated autoimmune disease, since EAE can be induced by the adoptive transfer of CNS antigenspecific Th1 cells into naïve mice [76–78]. O’Connor et al. [107] demonstrated that the adoptive transfer of myelin antigen-specific Th17 cells into naïve mice induced less severe EAE than that of myelin antigen-specific Th1 cells. In this system, donor Th17 cells were identified only in the CNS of recipient mice when both Th1 and Th17 cells were co-transferred but were not observed in the CNS of recipient mice injected with Th17 cells alone. On the other hand, donor Th1 cells infiltrated the recipient CNS in the absence or presence of Th17 cells. The authors proposed that Th17 cells had a minor role in the induction of EAE compared with Th1 cells. In contrast, Jäger et al. [108] proposed that Th17 cells played a major role in EAE induction. Although the adoptive transfer of MOG-specific Th17 or Th1 cells in vitro led to EAE induction in recipient mice, the Th17 cells induced more severe EAE compared with the Th1 cells. In TMEV infection, Hou et al. [109] demonstrated the pathogenic role of Th17 cells in demyelinating disease. Susceptible SJL/J and resistant C57BL/6 mice were
Animal Models of Multiple Sclerosis
63
infected with the BeAn strain of TMEV. The frequency and number of Th17 cells were higher in mononuclear cells (MNCs) of the CNS from TMEV-infected SJL/J mice than from TMEV-infected C57BL/6 mice. The CNS MNCs from infected SJL/J mice produced large amounts of IL-17 compared with those from TMEV-infected C57BL/6 mice. Although C57BL/6 mice are resistant to demyelinating disease, lipopolysaccharide (LPS) injection can make C57BL/6 mice susceptible to demyelinating disease. LPS injection in TMEV-infected C57BL/6 mice resulted in increased Th17-cell differentiation, IL-17 production from MNCs in the CNS, and inflammatory demyelination. In SJL/J and LPS-treated C57BL/6 mice infected with TMEV, IL-17 neutralization with anti-IL-17 mAb injection reduced the incidence and severity of demyelinating disease. In addition, the injection of anti-IL-17 neutralizing antibody inhibited viral persistence in the CNS and enhanced the function of cytotoxic T cells (CTLs) against TMEV in SJL/J and LPS-treated C57BL/6 mice postinfection. These were in accordance with the findings in EAE where the frequency of IFN-γ-producing CD4 and CD8 T cells was increased in IL-17-deficient mice [105]. Thus, IL-17 production from Th17 cells was associated with the development of demyelinating disease, the enhancement of viral persistence, and the suppression of CTL function in TMEV infection.
Roles of Regulatory T Cells in EAE CD4CD25 Treg cells make up 5–10% of CD4 T cells in mice (2–5% of CD4 T cells in humans) and inhibit the proliferation and cytokine production of effector T cells. Treg cells express Foxp3 and are generated in both the thymus and periphery in vivo [110,111]. Treg cells can be differentiated from naïve CD4 T cells in the presence of TGF-β in vitro (see Figure 4.3) [106]. In humans, the dysfunction of Foxp3 causes a severe autoimmune disease, which is called immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome (IPEX); Treg cells have been associated with the suppression of autoimmunity [112,113]. Kohm et al. [114] demonstrated that the adoptive transfer of Treg cells isolated from naïve mice ameliorated MOG-induced EAE. The co-injection of MOG-specific T cells with Treg cells attenuated the development of EAE, while the T cells alone induced severe EAE upon passive transfer. Treg cells also suppressed MOG-specific immune responses when encephalitogenic cells from MOG-sensitized mice were cultured with Treg cells in vitro. Similarly, Selvaraj et al. [115] demonstrated that Treg cells generated by TGF-β in vitro inhibited MOG-induced EAE. The adoptive transfer of TGF-β-induced Treg cells suppressed IFN-γ and IL-17 production from encephalitogenic cells stimulated with MOG in vitro. The exact inhibitory mechanisms of Treg cells remain unclear in EAE. Unlike other Th-cell subsets, Treg cells appear to display the suppressive function independent of CNS-antigen specificity. IL-10 production from Treg cells is thought to be critical for the immunosuppressive function in some EAE models, since Treg cells from IL-10-deficient mice failed to prevent the development of EAE [115–117]. The role of Treg cells in EAE has also been investigated by the depletion of Treg cells with anti-CD25 mAb. Montero et al. [118] demonstrated that Treg-cell
64
Neuroinflammation
depletion with anti-CD25 mAb prior to MOG sensitization led to the exacerbation of EAE. In this system, the anti-CD25 mAb treatment enhanced IFN-γ production from MOG-specific Th1 cells and serum MOG-specific IgG antibody responses. In addition, Reddy et al. [119] demonstrated that the depletion of Treg cells with anti-CD25 mAb made resistant B10.S mice susceptible to EAE. The anti-CD25 mAb treatment led to an increased incidence and inflammation of the CNS in B10.S mice with PLPinduced EAE, in which mice treated with anti-CD25 mAb showed higher IFN-γ and lower IL-10 production from CD4 T cells compared with control mice. However, caution should be used when interpreting the data in anti-CD25 mAb studies, since CD25 (IL-2 receptor α chain) is expressed not only on Treg cells but also on immature T cells in the thymus [120] and activated T cells. Indeed, daclizumab, a drug that has been shown to be effective in MS, is an anti-CD25 antibody; its suppressive activity has been attributed to inhibition of activated T cells [121,122]. Although there are no reports on the role of Treg cells in TMEV infection, theoretically, Treg cells can play either a beneficial or a detrimental role in TMEV infection. Since Treg cells can suppress the function of effector T cells, the suppression of anti-virus immune responses by Treg cells can result in viral persistence in the CNS, leading to chronic demyelinating disease. Indeed, depletion of Treg cells has been shown to induce more effective viral clearance and enhance anti-virus immune responses in Friend retrovirus-infected mice [123]. On the other hand, the enhancement of Treg-cell activity may ameliorate demyelinating disease. During the late chronic phase of TMEV, anti-virus and anti-myelin immune responses have been proposed to attack myelin and oligodendrocytes, leading to progressive demyelinating disease. Here, if Treg cells control antiviral as well as anti-myelin immune responses, this should inhibit immune-mediated demyelination (immunopathology). Treg cells appear to protect against severe disease after West Nile virus infection in human and mice where antiviral immune responses have been shown to play a pathogenic role [124].
Roles of Th9 Cells in EAE Recently, IL-9-producing Th (Th9) cells have been proposed as a novel Th-cell subset [125,126]. IL-9 was originally identified as a T-cell growth factor and was reported to be associated with Th2-type immune responses, such as parasite infection and asthma [127–129]. Th9 cells can be differentiated from naïve CD4 T cells in the presence of TGF-β and IL-4, and produce large amounts of IL-9 and IL-10. Although IL-10 is an anti-inflammatory cytokine, Th9 cells do not inhibit tissue inflammation or immune responses [126]. Elyaman et al. [130] demonstrated that IL-9 in the presence of TGF-β facilitated Th17-cell differentiation, while IL-9 enhanced the activity of Treg functions in vitro. Thus, Th9 cells may play a pathogenic as well as a protective role in EAE. IL-9-receptor-deficient mice showed more severe EAE than wild-type mice. On the other hand, Jäger et al. [108] demonstrated that passive transfer of MOG-specific Th9 cells induced EAE, in which demyelination with massive parenchymal cell infiltration was observed in the spinal cord.
Animal Models of Multiple Sclerosis
65
Roles of Natural Killer T Cells in EAE and TMEV Infection Natural killer T (NKT) cells have been shown to play a role in both viral infections and autoimmune diseases. This subset of immune cells expresses natural killer cell markers and an invariant TCR (Vα14 in mice and Vα24 in humans) that binds to CD1d molecules presenting a glycolipid antigen, including α-galactosylceramide (α-GC) [131]. Stimulation of the NKT cells results in a rapid secretion of cytokines, such as IL-4 and IFN-γ, that can regulate immune responses. The high levels of CD1 expression present in CNS lesions and overall high lipid content in the CNS make NKT cells likely candidates for regulation of CNS diseases [132–134]. In MS, several studies have suggested a beneficial role for NKT cells in pathogenesis [135–137]. In EAE, there is evidence that NKT cells play a protective role. Singh et al. [138] were able to protect against EAE in mice that were given α-GC to activate NKT cells. In this study, α-GC was unable to protect against EAE in CD1d, IL-4, or IL-10 KO mice, indicating that α-GC presentation on CD1d molecules and secretion of IL-4 and IL-10 were necessary for the suppression of EAE [138]. The Th1 response was suppressed by activating NKT cells with α-GC, which shifted the immune system to a Th2 response. Furthermore, transgenic mice with increased numbers of NKT cells exhibited reduced clinical signs of EAE even in the absence of extrathymic CD1d [139]. EAE has also been suppressed in an NKT-cell-dependent manner through the alteration of the gut flora [140]. While NKT cells can suppress the monophasic or RR form of EAE by invoking Th2 responses, they may contribute to the fatal progressive form of the disease. In MOG-induced EAE, A.SW mice (with inducible NKT cells) have been shown to develop the fatal progressive disease, while SJL/J mice (with reduced NKT cell numbers) develop moderate RR disease [56]. NKT cells also play regulatory roles in TMEV infection. CD1d-deficient (CD1d-/-) mice do not facilitate development of NKT cells in the thymus and are essentially NKT-deficient mice. CD1d-/- mice infected with the neurovirulent GDVII virus had an increased number of viral antigen-positive cells, more rapid weight loss, and higher mortality rates than wild-type mice [141]. Although wild-type BALB/c mice infected with DA virus had no demyelination, 60% of CD1d-/- mice developed demyelination [141]. These results suggest that the CD1d molecule and thus likely NKT cells are important in regulating the immune response and clearing viruses in the CNS. In another study, anti-Vα14 antibody was used to deplete NKT cells at various time points in mice infected with the DA virus. If the antibody was administered early, it was able to delay the onset of demyelination, while late or weekly administration resulted in more severe demyelination [142]. Similar to the CD1d-/- mice, the Vα14-depleted mice had increased demyelination and viral antigen-positive cells in the CNS [142]. Together, these studies suggest that NKT cells play contrasting roles in TMEV infection over the disease course.
Other Pathomechanisms in EAE and TMEV Infection MHC class I-restricted virus-specific CD8 CTLs are important in virus clearance during the acute phase of TMEV infection. CD8 T cells have also been shown to
66
Neuroinflammation
play a suppressive/regulatory role against demyelination in both EAE and TMEV infection [7]. More recently, however, CD8 T cells have been demonstrated to play a pathogenic role in EAE and TMEV models. Although oligodendrocytes do not express MHC class I molecules on their cell surface in steady state, they can be activated by inflammatory cytokines, such as IFN-γ, to express MHC class I molecules on their surface. Here, oligodendrocytes present myelin or viral antigen on MHC class I molecules and can be directly attacked by CTLs during the inflammation, which can lead to demyelination. Myelin-specific and nonspecific CD8 T cells have been shown to induce EAE [143,144]. TMEV-specific CD8 T cells have also been shown to play a pathogenic role upon passive transfer [145,146]. Like other immune effectors, antibody can play dual roles in MS. Antiviral antibody has been shown to neutralize TMEV in vitro. Adoptive transfer of antiTMEV antibody can eradicate virus from the CNS of infected nude mice [147]. On the other hand, since anti-TMEV antibody can cross-react with myelin lipid, antiTMEV antibody can function as demyelinating antibody [148]. Both anti-MOG antibody and anti-TMEV antibody have been shown to enhance demyelinating disease in vivo, although the administration of the antibody alone is not sufficient to cause demyelination. A direct TMEV infection in neurons and oligodendrocytes can lead to axonal degeneration and demyelination [149]. During the acute phase of TMEV infection, TMEV antigens are identified predominantly in neurons of the gray matter, but not in the white matter. Later, axonal degeneration, but not demyelination, is observed in the spinal cord white matter without the infiltration of inflammatory cells. Thus, early neuronal infection seems to result in wallerian (axonal) degeneration in TMEV infection [150]. During the chronic stage of TMEV infection, TMEV antigen was observed in oligodendrocytes; this suggests that direct oligodendrocyte infection may result in demyelination. Indeed, Roos et al. [151] demonstrated that TMEV infection induced demyelinating disease in nude mice. In addition, direct TMEV infection has been shown to cause demyelination in vitro [152]. Thus, direct lytic infection of oligodendrocytes can lead to demyelination.
Conclusions The “Two-Stage” Disease Theory MS and its animal models appear to be influenced by the interactions among various immune cells. In the RR disease course, Th1 and Th17 cells play a major role in relapse, whereas Th2, Treg, and NKT cells are associated with remission. In this context, enhanced Th1 and Th17 immune responses, including epitope spreading, as well as decreased Th2, Treg, and NKT cell function can lead to the SP disease course. On the other hand, other effector mechanisms, such as axonal degeneration or production of autoantibodies enhanced by Th2 immune responses, axonal degeneration, or neurodegeneration, have been considered to play a central role in the development of SP-MS (Table 4.1).
Animal Models of Multiple Sclerosis
67
Table 4.1 Possible Roles of Immune Effectors in MS, EAE, and TMEV Infection Effectors
Cell Types
Role
Clinical Course
Cytokine and Marker
CD4 T cells Th1
DTH, Th2↓, Disease onset Th17↓, IgG2a (c)↑, Relapse/progression anti-viral CTL↑ (epitope spreading)
IFN-γ, IL-2, T-bet
Th2
Th1↓, IgG1↑, IgE↑, Remission anti-viral Ig↑ Disease progression
IL-4, IL-5, IL-13, GATA3
Th17
Th1↓
IL-17A, IL-17F, IL-21, IL-22, RORγt
Treg
Th1↓, Th2↓, Th17↓ Remission Virus persistence
TGF-β, IL-10, Foxp3
NKT cells
CD1d-restricted NKT cells and others
Regulatory Virus killing
Disease suppression Virus suppression
IFN-γ, IL-4, NK1.1, CD3, Vα14 TCR
Antibody
B cells
Demyelinating Ig Extracellular virus neutralization
Disease progression
Ig, CD19, B220
Epitope spreading Virus persistence
CTL, cytotoxic T lymphocyte; DTH, delayed-type hypersensitivity; Foxp3, forkhead box P3; GATA3, GATA-binding protein 3; IFN, interferon; Ig, immunoglobulin; IL, interleukin; NKT, natural killer T; RORγt, retinoic acid receptorrelated orphan receptor γt; T-bet, T-box expressed in T cells; TGF, transforming growth factor; Th, T helper; Treg, regulatory T.
As discussed earlier, we have accumulated much information on which cell types/ mechanisms play effector or protective roles in MS and its animal models. However, we still do not know which factors contribute to the switching from the RR disease course to the SP disease course. MS has been suggested to be a heterogeneous “twostage” disease that could switch from an inflammatory to a degenerative phase (Figure 4.4) [153,154]. The two-stage disease theory is based on descriptive findings that inflammation and axonal degeneration appear to correlate with clinical signs during the RR and SP courses, respectively. One should keep in mind, however, that inflammation and axonal degeneration can influence each other, while the two processes can occur independently. Thus, the two-stage disease can be induced solely by inflammation alone or a combination of two mechanisms. For example, severe inflammation in the early disease stage can lead to axonal degeneration in the late stage. Here, we would like to propose a possible immunopathologic mechanism for the two-stage disease theory. MS patients develop the RR disease course when there is a balance between inflammatory (Th1 and Th17 cells) versus regulatory (Th2, Treg, and NKT cells) cells, where the former contributes to relapse and the latter contributes to remission. If MS is a “one-stage” disease, the disease progresses when the balance between inflammatory versus regulatory skews toward inflammatory.
68
Neuroinflammation
“One-stage” disease theory SP
RR
Disability
Th1 Th17 Th1 Th17
Th1 Th17 Th2 Treg NKT
Th2 Treg NKT
(A)
Time
Th2 Treg NKT
“Two-stage” disease theory RR
SP Anti-axonal antibody? Neurodegeneration?
Disability
Biological switch
(B)
Th1 Th17
Th1 Th17
Inflammatory Regulatory
Th2 Treg NKT
Th2 Treg NKT
Time
Figure 4.4 In both “one-stage” (A) and “two-stage” (B) disease theories of MS, the RR disease courses are induced by the balance between inflammatory (Th1 and Th17 cells) versus regulatory (Th2, Treg, and NKT cells) cells, where the former contributes to relapse and the latter contributes to remission. During the SP phase of the “one-stage” disease theory, immune responses skew more toward inflammatory. Here, the pathomechanisms of SP-MS are basically the same during the disease course; excessive anti-myelin inflammatory responses result in secondary axonal degeneration (neurodegeneration). On the other hand, in the “two-stage” disease theory, the central effector mechanisms change when the RR disease course shifts to the SP course. Here, a new effector mechanism, such as the increased autoantibody production promoted by Th2 cells or the axonal degeneration mediated by virus infection, exacerbates demyelinating disease, leading to disease progression. Here, the switch that triggers production of anti-axonal antibodies can be axonal damage by virus infection or a change in the cytokine profile by IL-4-producing NKT cells.
Animal Models of Multiple Sclerosis
69
Here, the pathomechanism of MS does not change between the RR course and the SP course: excessive anti-myelin inflammatory responses result in secondary damage to axons (neurodegeneration). On the other hand, in the two-stage disease theory, there is a change in effector mechanisms when the RR disease course switches to the SP course. For example, generation of anti-axonal antibody during the course can lead to disease progression with the help of Th2 cytokines, rather than pro-inflammatory cytokines. Here, the switch that triggers production of anti-axonal antibody can be axonal damage by virus infection or a change in the cytokine profile by IL-4producing NKT cells. In this latter stage, the role of each cytokine and immune cell can be opposite to that in the early stage. For example, IFN-γ plays an effector role in the early stage, while it plays a protective role by inhibiting Th2 cytokines and antibody production in the late stage.
Microarray Analysis and Future Prospective Analyses of gene expression profiles using microarray provide comprehensive information about gene expression at a given time point [155]. To study the molecular mechanisms of pathogenesis in MS, microarray analyses would provide systemic information other than the immune responses reviewed here, such as axonal degeneration and neuronal apoptotic pathways. In MS, microarray analyses have been performed using mainly peripheral blood lymphocytes. Several reports showed that various genes related to the immune responses, apoptosis, and cell cycle progression were upregulated or downregulated. For example, Singh et al. [156] reported that IFN-β treatment upregulated genes related to immune responses, such as Mx1, Ifi35, and Ifit1, in peripheral blood MNCs from RR-MS patients. Satoh et al. [157] reported that pro-apoptotic genes, such as Nr4a2, Tcf8, and Cyp1a2, were upregulated and anti-apoptotic genes, such as Hspa1a and Bag1, were downregulated in T cells isolated from the blood of MS patients. However, access to the CNS parenchyma is limited by its nature [158]. In EAE models, there are several reports using microarray analyses [159], with various experimental conditions (different stages of disease, animal strains and species, and antigens) and tissue samples (CNS versus lymphoid). In most microarray analyses in EAE, genes related to the immune responses, such as cytokines (Aif1, Ifng, and Il10), chemokines (Ccr2, Cxcl1, and Rantes), and complement components (C1qa, C1qb, and C3), have been shown to be upregulated in the CNS [160–163], while treatment with therapeutic agents, such as lovastatin and N-acetylcystein amide (AD4) [161,164], can normalize the gene expression levels. Pertussis toxin, which is an adjuvant used in some EAE models, has been shown to upregulate genes related to angiogenesis, such as Ccl2 and Cxcl1, following in vitro exposure of brain microvascular endothelial cells [165]. In TMEV infection, there is only limited information about gene expression profiles based on microarray analyses. Rubio et al. [166,167] reported that genes related to immune responses, such as Cxcl1, IFN-α family genes, and Ifnb, were upregulated in TMEV-infected astrocyte cultures. Navarrete-Talloni et al. [168] reported that TMEV infection altered the expression of various genes related to immune response, such as Cd55, Cd68, and Cd209a, in the acute phase in the deep cervical
70
Neuroinflammation
lymph nodes and gene transcription decreased during the chronic phase. Ulrich et al. [169] demonstrated that in the CNS of SJL/J mice infected with TMEV, genes related to the immune response, such as Cd28, Cd40, Cd86, Il4r, and Tlr4, were upregulated, and genes related to lipid and cholesterol biosynthesis, such as Dhcr7, Nsdhl, and Fdps, were downregulated during the chronic phase. A bioinformatics approach that can associate the data among comprehensive microarray analyses and immunologic, clinical, and histologic findings will lead to clarification of the roles of immune cells as well as elucidation of novel pathomechanisms.
Acknowledgments Drs. Sato and Omura contributed equally. This work was supported by the National Institutes of Health (R21NS059724, P20-RR018724).
References [1] Johnson AJ, Suidan GL, McDole J, Pirko I. The CD8 T cell in multiple sclerosis: suppressor cell or mediator of neuropathology? Int Rev Neurobiol 2007;79:73–97. [2] Kira J. Neuromyelitis optica and asian phenotype of multiple sclerosis. Ann N Y Acad Sci 2008;1142:58–71. [3] Correale J, Fiol M. BHT-3009, a myelin basic protein-encoding plasmid for the treatment of multiple sclerosis. Curr Opin Mol Ther 2009;11:463–70. [4] Burns J, Bartholomew B, Lobo S. Isolation of myelin basic protein-specific T cells predominantly from the memory T-cell compartment in multiple sclerosis. Ann Neurol 1999;45:33–9. [5] Hafler DA, Weiner HL. In vivo labeling of blood T cells: rapid traffic into cerebrospinal fluid in multiple sclerosis. Ann Neurol 1987;22:89–93. [6] Minagar A, Long A, Ma T, Jackson TH, Kelley RE, Ostanin DV, et al. Interferon (IFN)β1a and IFN-β1b block IFN-γ-induced disintegration of endothelial junction integrity and barrier. Endothelium 2003;10:299–307. [7] Tsunoda I, Fujinami RS. Two models for multiple sclerosis: experimental allergic encephalomyelitis and Theilers’ murine encephalomyelitis virus. J Neuropathol Exp Neurol 1996;55:673–86. [8] Schreiner B, Heppner FL, Becher B. Modeling multiple sclerosis in laboratory animals. Semin Immunopathol 2009;31:479–95. [9] Deuschle M, Bode L, Heuser I, Schmider J, Ludwig H. Borna disease virus proteins in cerebrospinal fluid of patients with recurrent depression and multiple sclerosis. Lancet 1998;352:1828–9. [10] Haase CG, Viazov S, Fiedler M, Koenig N, Faustmann PM, Roggendorf M. Borna disease virus RNA is absent in chronic multiple sclerosis. Ann Neurol 2001;50:423–4. [11] Opsahl ML, Kennedy PGE. Early and late HHV-6 gene transcripts in multiple sclerosis lesions and normal appearing white matter. Brain 2005;128:516–27. [12] Christensen T. The role of EBV in MS pathogenesis. Int MS J 2006;13:52–7. [13] Lünemann JD, Jelcˇic´ I, Roberts S, Lutterotti A, Tackenberg B, Martin R, et al. EBNA1specific T cells from patients with multiple sclerosis cross react with myelin antigens and co-produce IFN-γ and IL-2. J Exp Med 2008;205:1763–73.
Animal Models of Multiple Sclerosis
71
[14] Baumgärtner W, Alldinger S. The pathogenesis of canine distemper virus induced demyelination: a biphasic process. In: Lavi E, Constantinescu CS, editors. Experimental models of multiple sclerosis. New York NY: Springer; 2005. p. 871–87. [15] Bender SJ, Weiss SR. Pathogenesis of murine coronavirus in the central nervous system. J Neuroimmune Pharmacol 2010;5:336–54. [16] Lipton HL. Theiler’s virus infection in mice: an unusual biphasic disease process leading to demyelination. Infect Immun 1975;11:1147–55. [17] Seboun E, Robinson MA, Doolittle TH, Ciulla TA, Kindt TJ, Hauser SL. A susceptibility locus for multiple sclerosis is linked to the T cell receptor b chain complex. Cell 1989;57:1095–100. [18] Lynch SG, Rose JW, Petajan JH, Stauffer D, Kamerath C, Leppert M. Discordance of T-cell receptor β-chain genes in familial multiple sclerosis. Ann Neurol 1991;30:402–10. [19] Schwendimann RN, Alekseeva N. Gender issues in multiple sclerosis. Int Rev Neurobiol 2007;79:377–92. [20] Hirst C, Ingram G, Pickersgill T, Swingler R, Compston DAS, Robertson NP. Increasing prevalence and incidence of multiple sclerosis in South East Wales. J Neurol Neurosurg Psychiatry 2009;80:386–91. [21] Koch-Henriksen N, Sørensen PS. The changing demographic pattern of multiple sclerosis epidemiology. Lancet Neurol 2010;9:520–32. [22] Osoegawa M, Kira J, Fukazawa T, Fujihara K, Kikuchi S, Matsui M, et al. Temporal changes and geographical differences in multiple sclerosis phenotypes in Japanese: nationwide survey results over 30 years. Mult Scler 2009;15:159–73. [23] Pugliatti M, Sotgiu S, Rosati G. The worldwide prevalence of multiple sclerosis. Clin Neurol Neurosurg 2002;104:182–91. [24] Ebers GC, Bulman DE, Sadovnick AD, Paty DW, Warren S, Hader W, et al. A population-based study of multiple sclerosis in twins. N Engl J Med 1986;315:1638–42. [25] Rose JW. Multiple sclerosis: evidence of maternal effects and an increasing incidence in women. Neurology 2009;73:578–9. [26] Oksenberg JR, Baranzini SE, Sawcer S, Hauser SL. The genetics of multiple sclerosis: SNPs to pathways to pathogenesis. Nat Rev Genet 2008;9:516–26. [27] Oksenberg JR, Baranzini SE, Barcellos LF, Hauser SL. Multiple sclerosis: genomic rewards. J Neuroimmunol 2001;113:171–84. [28] Fukazawa T, Yabe I, Kikuchi S, Sasaki H, Hamada T, Miyasaka K, et al. Association of vitamin D receptor gene polymorphism with multiple sclerosis in Japanese. J Neurol Sci 1999;166:47–52. [29] Niino M, Kikuchi S, Fukazawa T, Yabe I, Tashiro K. Estrogen receptor gene polymorphism in Japanese patients with multiple sclerosis. J Neurol Sci 2000;179:70–5. [30] Hill KE, Pigmans M, Fujinami RS, Rose JW. Gender variations in early Theiler’s virus induced demyelinating disease: differential susceptibility and effects of IL-4, IL-10 and combined IL-4 with IL-10. J Neuroimmunol 1998;85:44–51. [31] Clatch RJ, Melvold RW, Miller SD, Lipton HL. Theiler’s murine encephalomyelitis virus (TMEV)-induced demyelinating disease in mice is influenced by the H-2D region: correlation with TEMV-specific delayed-type hypersensitivity. J Immunol 1985;135:1408–14. [32] Rodriguez M, Leibowitz J, David CS. Susceptibility to Theiler’s virus-induced demyelination. Mapping of the gene within the H-2D region. J Exp Med 1986;163:620–31. [33] Nemoto H, Konno S, Nakazora H, Miura H, Kurihara T. Histological and immunohistological changes of the skeletal muscles in older SJL/J mice. Eur Neurol 2007;57:19–25.
72
Neuroinflammation
[34] Bahk YY, Kappel CA, Rasmussen G, Kim BS. Association between susceptibility to Theiler’s virus-induced demyelination and T-cell receptor Jβ1-Cβ1 polymorphism rather than Vβ deletion. J Virol 1997;71:4181–5. [35] Friedmann A, Frankel G, Lorch Y, Steinman L. Monoclonal anti-I-A antibody reverses chronic paralysis and demyelination in Theiler’s virus-infected mice: critical importance of timing of treatment. J Virol 1987;61:898–903. [36] Rivers TM, Sprunt DH, Berry GP. Observations on attempts to produce acute disseminated encephalomyelitis in monkeys. J Exp Med 1933;58:39–53. [37] Kabat EA, Wolf A, Bezer AE. Rapid production of acute disseminated encephalomyelitis in rhesus monkeys by injection of brain tissue with adjuvants. Science 1946;104:362–3. [38] Paterson PY. Transfer of allergic encephalomyelitis in rats by means of lymph node cells. J Exp Med 1960;111:119–36. [39] Theiler M. Spontaneous encephalomyelitis of mice—a new virus disease. Science 1934;80:122. [40] Daniels JB, Pappenheimer AM, Richardson S. Observations on encephalomyelitis of mice (DA strain). J Exp Med 1952;96:517–30. [41] Tracy S, Chapman NM, Drescher KM, Kono K, Tapprich W. Evolution of virulence in picornaviruses. Curr Top Microbiol Immunol 2006;299:193–209. [42] Tsunoda I, Iwasaki Y, Terunuma H, Sako K, Ohara Y. A comparative study of acute and chronic diseases induced by two subgroups of Theiler’s murine encephalomyelitis virus. Acta Neuropathol 1996;91:595–602. [43] Stewart KA, Wilcox KS, Fujinami RS, White HS. Theiler’s virus infection chronically alters seizure susceptibility. Epilepsia 2009; 51: 1418–28. [44] Steurbaut S, Merckx E, Rombaut B, Vrijsen R. Modulation of viral replication in macrophages persistently infected with the DA strain of Theiler’s murine encephalomyelitis virus. Virol J 2008;5:89. [45] Rodriguez M, Leibowitz JL, Lampert PW. Persistent infection of oligodendrocytes in Theiler’s virus-induced encephalomyelitis. Ann Neurol 1983;13:426–33. [46] Lipton HL, Twaddle G, Jelachich ML. The predominant virus antigen burden is present in macrophages in Theiler’s murine encephalomyelitis virus-induced demyelinating disease. J Virol 1995;69:2525–33. [47] Owens T. Animal models for multiple sclerosis. Adv Neurol 2006;98:77–89. [48] Lublin FD, Reingold SC. Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology 1996;46:907–11. [49] Tsunoda I, Kuang L-Q, Theil DJ, Fujinami RS. Antibody association with a novel model for primary progressive multiple sclerosis: induction of relapsing–remitting and progressive forms of EAE in H2s mouse strains. Brain Pathol 2000;10:402–18. [50] Sospedra M, Martin R. Immunology of multiple sclerosis. Annu Rev Immunol 2005;23:683–747. [51] Ebers GC. Prognostic factors for multiple sclerosis: the importance of natural history studies. J Neurol 2005;252(Suppl 3):iii15–iii20. [52] Fritz RB, McFarlin DE. Encephalitogenic epitopes of myelin basic protein. Chem Immunol 1989;46:101–25. [53] Zéphir H, Lefranc D, Dubucquoi S, de Seze J, Boron L, Prin L, et al. Serum IgG repertoire in clinically isolated syndrome predicts multiple sclerosis. Mult Scler 2009;15:593–600. [54] Sobel RA, Greer JM, Kuchroo VK. Minireview: autoimmune responses to myelin proteolipid protein. Neurochem Res 1994;19:915–21.
Animal Models of Multiple Sclerosis
73
[55] Tuohy VK. Peptide determinants of myelin proteolipid protein (PLP) in autoimmune demyelinating disease: a review. Neurochem Res 1994;19:935–44. [56] Tsunoda I, Kuang LQ, Theil DJ, Fujinami RS. Antibody association with a novel model for primary progressive multiple sclerosis: induction of relapsing-remitting and progressive forms of EAE in H2s mouse strains. Brain Pathol 2000;10:402–18. [57] Sato F, Tanaka H, Hasanovic F, Tsunoda I. Theiler’s virus infections pathophysiology of demyelination and neurodegeneration. Pathophysiology 2010; in press. [58] Lassmann H, Brück W, Lucchinetti C. Heterogeneity of multiple sclerosis pathogenesis: implications for diagnosis and therapy. Trends Mol Med 2001;7:115–21. [59] Tsunoda I, Kurtz CIB, Fujinami RS. Apoptosis in acute and chronic central nervous system disease induced by Theiler’s murine encephalomyelitis virus. Virology 1997;228:388–93. [60] Pirko I, Lucchinetti CF, Sriram S, Bakshi R. Gray matter involvement in multiple sclerosis. Neurology 2007;68:634–42. [61] Tsunoda I, Kuang L-Q, Libbey JE, Fujinami RS. Axonal injury heralds virus-induced demyelination. Am J Pathol 2003;162:1259–69. [62] Seehusen, F., Baumgärtner, W. Axonal pathology and loss precede demyelination and accompany chronic lesions in a spontaneously occurring animal model of multiple sclerosis. Brain Pathol 2009; 20: 551–9. [63] Huizinga R, Heijmans N, Schubert P, Gschmeissner S, ‘t Hart BA, Herrmann H, et al. Immunization with neurofilament light protein induces spastic paresis and axonal degeneration in Biozzi ABH mice. J Neuropathol Exp Neurol 2007;66:295–304. [64] Derfuss T, Parikh K, Velhin S, Braun M, Mathey E, Krumbholz M, et al. Contactin2/TAG-1-directed autoimmunity is identified in multiple sclerosis patients and mediates gray matter pathology in animals. Proc Natl Acad Sci U S A 2009;106:8302–7. [65] Tsunoda I, Fujinami RS. Inside-out versus outside-in models for virus induced demyelination: axonal damage triggering demyelination. Springer Semin Immunopathol 2002;24:105–25. [66] Tsunoda I, Tanaka T, Saijoh Y, Fujinami RS. Targeting inflammatory demyelinating lesions to sites of Wallerian degeneration. Am J Pathol 2007;171:1563–75. [67] Tsunoda I, Tanaka T, Terry EJ, Fujinami RS. Contrasting roles for axonal degeneration in an autoimmune versus viral model of multiple sclerosis: when can axonal injury be beneficial? Am J Pathol 2007;170:214–26. [68] Szabo SJ, Kim ST, Costa GL, Zhang X, Fathman CG, Glimcher LH. A novel transcription factor, T-bet, directs Th1 lineage commitment. Cell 2000;100:655–69. [69] Zheng W, Flavell RA. The transcription factor GATA-3 is necessary and sufficient for Th2 cytokine gene expression in CD4 T cells. Cell 1997;89:587–96. [70] Yang XO, Pappu B, Nurieva R, Akimzhanov A, Kang HS, Chung Y, et al. TH17 lineage differentiation is programmed by orphan nuclear receptors RORα and RORγ. Immunity 2008;28:29–39. [71] Zhou L, Lopes JE, Chong MMW, Ivanov II, Min R, Victora GD, et al. TGF-β-induced Foxp3 inhibits Th17 cell differentiation by antagonizing RORγt function. Nature 2008;453:236–40. [72] Matsui N, Nakane S, Saito F, Ohigashi I, Nakagawa Y, Kurobe H, et al. Undiminished regulatory T cells in the thymus of patients with myasthenia gravis. Neurology 2010;74:816–20. [73] Hofman FM, von Hanwehr RI, Dinarello CA, Mizel SB, Hinton D, Merrill JE. Immunoregulatory molecules and IL 2 receptors identified in multiple sclerosis brain. J Immunol 1986;136:3239–45.
74
Neuroinflammation
[74] Hofman FM, Hinton DR, Baemayr J, Weil M, Merrill JE. Lymphokines and immunoregulatory molecules in subacute sclerosing panencephalitis. Clin Immunol Immunopathol 1991;58:331–42. [75] Merrill JE, Kagan JM, Schmid I, Strom SR, Quan SG, Chen ISY. T cell lines established from multiple sclerosis cerebrospinal fluid T cells using human retroviruses. J Neuroimmunol 1989;21:213–26. [76] Merrill JE, Kono DH, Clayton J, Ando DG, Hinton DR, Hofman FM. Inflammatory leukocytes and cytokines in the peptide-induced disease of experimental allergic encephalomyelitis in SJL and B10.PL mice. Proc Natl Acad Sci U S A 1992;89:574–8. [77] Ando DG, Clayton J, Kono D, Urban JL, Sercarz EE. Encephalitogenic T cells in the B10.PL model of experimental allergic encephalomyelitis (EAE) are of the Th-1 lymphokine subtype. Cell Immunol 1989;124:132–43. [78] Baron JL, Madri JA, Ruddle NH, Hashim G, Janeway Jr. CA. Surface expression of a4 integrin by CD4 T cells is required for their entry into brain parenchyma. J Exp Med 1993;177:57–68. [79] Constantinescu CS, Hilliard B, Ventura E, Wysocka M, Showe L, Lavi E, et al. Modulation of susceptibility and resistance to an autoimmune model of multiple sclerosis in prototypically susceptible and resistant strains by neutralization of interleukin-12 and interleukin-4, respectively. Clin Immunol 2001;98:23–30. [80] Bettelli E, Sullivan B, Szabo SJ, Sobel RA, Glimcher LH, Kuchroo VK. Loss of T-bet, but not STAT1, prevents the development of experimental autoimmune encephalomyelitis. J Exp Med 2004;200:79–87. [81] Ferber IA, Brocke S, Taylor-Edwards C, Ridgway W, Dinisco C, Steinman L, et al. Mice with a disrupted IFN-γ gene are susceptible to the induction of experimental autoimmune encephalomyelitis (EAE). J Immunol 1996;156:5–7. [82] Tran EH, Prince EN, Owens T. IFN-γ shapes immune invasion of the central nervous system via regulation of chemokines. J Immunol 2000;164:2759–68. [83] Willenborg DO, Fordham S, Bernard CCA, Cowden WB, Ramshaw IA. IFN-γ plays a critical down-regulatory role in the induction and effector phase of myelin oligodendrocyte glycoprotein-induced autoimmune encephalomyelitis. J Immunol 1996;157:3223–7. [84] Willenborg DO, Fordham SA, Staykova MA, Ramshaw IA, Cowden WB. IFN-γ is critical to the control of murine autoimmune encephalomyelitis and regulates both in the periphery and in the target tissue: a possible role for nitric oxide. J Immunol 1999;163:5278–86. [85] Borrow P, Welsh CJ, Nash AA. Study of the mechanisms by which CD4 T cells contribute to protection in Theiler’s murine encephalomyelitis. Immunology 1993;80:502–6. [86] Chang JR, Zaczynska E, Katsetos CD, Platsoucas CD, Oleszak EL. Differential expression of TGF-β, IL-2, and other cytokines in the CNS of Theiler’s murine encephalomyelitis virus-infected susceptible and resistant strains of mice. Virology 2000;278:346–60. [87] Pullen LC, Miller SD, Dal Canto MC, Van der Meide PH, Kim BS. Alteration in the level of interferon-γ results in acceleration of Theiler’s virus-induced demyelinating disease. J Neuroimmunol 1994;55:143–52. [88] Miller SD, Gerety SJ, Kennedy MK, Peterson JD, Trotter JL, Tuohy VK, et al. Class II-restricted T cell responses in Theiler’s murine encephalomyelitis virus (TMEV)induced demyelinating disease. III. Failure of neuroantigen-specific immune tolerance to affect the clinical course of demyelination. J Neuroimmunol 1990;26:9–23. [89] Inoue A, Koh C-S, Yamazaki M, Yahikozawa H, Ichikawa M, Yagita H, et al. Suppressive effect on Theiler’s murine encephalomyelitis virus-induced demyelinating disease by the administration of anti-IL-12 antibody. J Immunol 1998;161:5586–93.
Animal Models of Multiple Sclerosis
75
[90] Miller SD, Vanderlugt CL, Begolka WS, Pao W, Yauch RL, Neville KL, et al. Persistent infection with Theiler’s virus leads to CNS autoimmunity via epitope spreading. Nat Med 1997;3:1133–6. [91] Yoh K, Shibuya K, Morito N, Nakano T, Ishizaki K, Shimohata H, et al. Transgenic overexpression of GATA-3 in T lymphocytes improves autoimmune glomerulonephritis in mice with a BXSB/MpJ-Yaa genetic background. J Am Soc Nephrol 2003;14:2494–502. [92] Kuchroo VK, Das MP, Brown JA, Ranger AM, Zamvil SS, Sobel RA, et al. B7-1 and B7-2 costimulatory molecules activate differentially the Th1/Th2 developmental pathways: application to autoimmune disease therapy. Cell 1995;80:707–18. [93] Chakravarti S, Sabatos CA, Xiao S, Illes Z, Cha EK, Sobel RA, et al. Tim-2 regulates T helper type 2 responses and autoimmunity. J Exp Med 2005;202:437–44. [94] Lafaille JJ, van de Keera F, Hsu AL, Baron JL, Haas W, Raine CS, et al. Myelin basic protein-specific T helper 2 (Th2) cells cause experimental autoimmune encephalomyelitis in immunodeficient hosts rather than protect them from the disease. J Exp Med 1997;186:307–12. [95] Martinez NE, Omura S, Sato F, Minagar A, Tsunoda I. Is MS a heterogeneous twostage disease? Pathomechanisms of neurodegeneration versus neroinflammation. Expert Rev Clin Immunol 2011;in press. [96] Tsunoda I, Kuang L-Q, Igenge IZM, Fujinami RS. Converting relapsing remitting to secondary progressive experimental allergic encephalomyelitis (EAE) by ultraviolet B irradiation. J Neuroimmunol 2005;160:122–34. [97] Yamada M, Zurbriggen A, Fujinami RS. Monoclonal antibody to Theiler’s murine encephalomyelitis virus defines a determinant on myelin and oligodendrocytes, and augments demyelination in experimental allergic encephalomyelitis. J Exp Med 1990;171:1893–907. [98] Sato S, Reiner SL, Jensen MA, Roos RP. Central nervous system cytokine mRNA expression following Theiler’s murine encephalomyelitis virus infection. J Neuroimmunol 1997;76:213–23. [99] Aggarwal S, Gurney AL. IL-17: prototype member of an emerging cytokine family. J Leukoc Biol 2002;71:1–8. [100] Harrington LE, Hatton RD, Mangan PR, Turner H, Murphy TL, Murphy KM, et al. Interleukin 17-producing CD4 effector T cells develop via a lineage distinct from the T helper type 1 and 2 lineages. Nat Immunol 2005;6:1123–32. [101] Park H, Li Z, Yang XO, Chang SH, Nurieva R, Wang Y-H, et al. A distinct lineage of CD4 T cells regulates tissue inflammation by producing interleukin 17. Nat Immunol 2005;6:1133–41. [102] Matusevicius D, Kivisäkk P, He B, Kostulas N, Özenci V, Fredrikson S, et al. Interleukin-17 mRNA expression in blood and CSF mononuclear cells is augmented in multiple sclerosis. Mult Scler 1999;5:101–4. [103] Lock C, Hermans G, Pedotti R, Brendolan A, Schadt E, Garren H, et al. Genemicroarray analysis of multiple sclerosis lesions yields new targets validated in autoimmune encephalomyelitis. Nat Med 2002;8:500–8. [104] Hofstetter HH, Ibrahim SM, Koczan D, Kruse N, Weishaupt A, Toyka KV, et al. Therapeutic efficacy of IL-17 neutralization in murine experimental autoimmune encephalomyelitis. Cell Immunol 2005;237:123–30. [105] Komiyama Y, Nakae S, Matsuki T, Nambu A, Ishigame H, Kakuta S, et al. IL-17 plays an important role in the development of experimental autoimmune encephalomyelitis. J Immunol 2006;177:566–73.
76
Neuroinflammation
[106] Bettelli E, Carrier Y, Gao W, Korn T, Strom TB, Oukka M, et al. Reciprocal developmental pathways for the generation of pathogenic effector TH17 and regulatory T cells. Nature 2006;441:235–8. [107] O’Connor RA, Prendergast CT, Sabatos CA, Lau CWZ, Leech MD, Wraith DC, et al. Cutting edge: Th1 cells facilitate the entry of Th17 cells to the central nervous system during experimental autoimmune encephalomyelitis. J Immunol 2008;181: 3750–4. [108] Jäger A, Dardalhon V, Sobel RA, Bettelli E, Kuchroo VK. Th1, Th17, and Th9 effector cells induce experimental autoimmune encephalomyelitis with different pathological phenotypes. J Immunol 2009;183:7169–77. [109] Hou W, Kang HS, Kim BS. Th17 cells enhance viral persistence and inhibit T cell cytotoxicity in a model of chronic virus infection. J Exp Med 2009;206:313–28. [110] Sakaguchi S. Naturally arising Foxp3-expressing CD25CD4 regulatory T cells in immunological tolerance to self and non-self. Nat Immunol 2005;6:345–52. [111] Chen W, Jin W, Hardegen N, Lei K-J, Li L, Marinos N, et al. Conversion of peripheral CD4CD25 naive T cells to CD4CD25 regulatory T cells by TGF-β induction of transcription factor Foxp3. J Exp Med 2003;198:1875–86. [112] Bennett CL, Christie J, Ramsdell F, Brunkow ME, Ferguson PJ, Whitesell L, et al. The immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome (IPEX) is caused by mutations of FOXP3. Nat Genet 2001;27:20–1. [113] Hori S, Takahashi T, Sakaguchi S. Control of autoimmunity by naturally arising regulatory CD4 T cells. Adv Immunol 2003;81:331–71. [114] Kohm AP, Carpentier PA, Anger HA, Miller SD. Cutting edge: CD4CD25 regulatory T cells suppress antigen-specific autoreactive immune responses and central nervous system inflammation during active experimental autoimmune encephalomyelitis. J Immunol 2002;169:4712–6. [115] Selvaraj RK, Geiger TL. Mitigation of experimental allergic encephalomyelitis by TGF-β induced Foxp3 regulatory T lymphocytes through the induction of anergy and infectious tolerance. J Immunol 2008;180:2830–8. [116] Zhang X, Koldzic DN, Izikson L, Reddy J, Nazareno RF, Sakaguchi S, et al. IL-10 is involved in the suppression of experimental autoimmune encephalomyelitis by CD25CD4 regulatory T cells. Int Immunol 2004;16:249–56. [117] Yu P, Gregg RK, Bell JJ, Ellis JS, Divekar R, Lee H-H, et al. Specific T regulatory cells display broad suppressive functions against experimental allergic encephalomyelitis upon activation with cognate antigen. J Immunol 2005;174:6772–80. [118] Montero E, Nussbaum G, Kaye JF, Perez R, Lage A, Ben-Nun A, et al. Regulation of experimental autoimmune encephalomyelitis by CD4, CD25 and CD8 T cells: analysis using depleting antibodies. J Autoimmun 2004;23:1–7. [119] Reddy J, Illes Z, Zhang X, Encinas J, Pyrdol J, Nicholson L, et al. Myelin proteolipid protein-specific CD4CD25 regulatory cells mediate genetic resistance to experimental autoimmune encephalomyelitis. Proc Natl Acad Sci U S A 2004;101: 15434–9. [120] Pearse M, Wu L, Egerton M, Wilson A, Shortman K, Scollay R. A murine early thymocyte developmental sequence is marked by transient expression of the interleukin 2 receptor. Proc Natl Acad Sci U S A 1989;86:1614–8. [121] Rose JW, Watt HE, White AT, Carlson NG. Treatment of multiple sclerosis with an anti-interleukin-2 receptor monoclonal antibody. Ann Neurol 2004;56:864–7. [122] Rose JW, Burns JB, Bjorklund J, Klein J, Watt HE, Carlson NG. Daclizumab phase II trial in relapsing and remitting multiple sclerosis: MRI and clinical results. Neurology 2007;69:785–9.
Animal Models of Multiple Sclerosis
77
[123] Zelinskyy G, Dietze KK, Hüsecken YP, Schimmer S, Nair S, Werner T, et al. The regulatory T-cell response during acute retroviral infection is locally defined and controls the magnitude and duration of the virus-specific cytotoxic T-cell response. Blood 2009;114:3199–207. [124] Lanteri MC, O’Brien KM, Purtha WE, Cameron MJ, Lund JM, Owen RE, et al. Tregs control the development of symptomatic West Nile virus infection in humans and mice. J Clin Invest 2009;119:3266–77. [125] Veldhoen M, Uyttenhove C, van Snick J, Helmby H, Westendorf A, Buer J, et al. Transforming growth factor-b “reprograms” the differentiation of T helper 2 cells and promotes an interleukin 9-producing subset. Nat Immunol 2008;9:1341–6. [126] Dardalhon V, Awasthi A, Kwon H, Galileos G, Gao W, Sobel RA, et al. IL-4 inhibits TGF-b-induced Foxp3 T cells and, together with TGF-b, generates IL-9 IL-10 Foxp3 effector T cells. Nat Immunol 2008;9:1347–55. [127] van Snick J, Goethals A, Renauld J-C, Van Roost E, Uyttenhove C, Rubira MR, et al. Cloning and characterization of a cDNA for a new mouse T cell growth factor (P40). J Exp Med 1989;169:363–8. [128] Gessner A, Blum H, Röllinghoff M. Differential regulation of IL-9-expression after infection with Leishmania major in susceptible and resistant mice. Immunobiology 1993;189:419–35. [129] Temann U-A, Geba GP, Rankin JA, Flavell RA. Expression of interleukin 9 in the lungs of transgenic mice causes airway inflammation, mast cell hyperplasia, and bronchial hyperresponsiveness. J Exp Med 1998;188:1307–20. [130] Elyaman W, Bradshaw EM, Uyttenhove C, Dardalhon V, Awasthi A, Imitola J, et al. IL-9 induces differentiation of TH17 cells and enhances function of FoxP3 natural regulatory T cells. Proc Natl Acad Sci U S A 2009;106:12885–90. [131] Bendelac A, Savage PB, Teyton L. The biology of NKT cells. Annu Rev Immunol 2007;25:297–336. [132] Kanter JL, Narayana S, Ho PP, Catz I, Warren KG, Sobel RA, et al. Lipid microarrays identify key mediators of autoimmune brain inflammation. Nat Med 2006;12:138–43. [133] Podbielska M, Hogan EL. Molecular and immunogenic features of myelin lipids: incitants or modulators of multiple sclerosis? Mult Scler 2009;15:1011–29. [134] Moody DB, Zajonc DM, Wilson IA. Anatomy of CD1-lipid antigen complexes. Nat Rev Immunol 2005;5:387–99. [135] Feng J, Misu T, Fujihara K, Sakoda S, Nakatsuji Y, Fukaura H, et al. Ibudilast, a non selective phosphodiesterase inhibitor, regulates Th1/Th2 balance and NKT cell subset in multiple sclerosis. Mult Scler 2004;10:494–8. [136] O’Keeffe J, Gately CM, Counihan T, Hennessy M, Leahy T, Moran AP, et al. T-cells expressing natural killer (NK) receptors are altered in multiple sclerosis and responses to α-galactosylceramide are impaired. J Neurol Sci 2008;275:22–8. [137] Sakuishi, K., Miyake, S., Yamamura, T. Role of NK cells and invariant NKT cells in multiple sclerosis. Results Probl Cell Differ 2010;51:127–47. [138] Singh AK, Wilson MT, Hong S, Olivares-Villagómez D, Du C, Stanic AK, et al. Natural killer T cell activation protects mice against experimental autoimmune encephalomyelitis. J Exp Med 2001;194:1801–11. [139] Mars LT, Gautron AS, Novak J, Beaudoin L, Diana J, Liblau RS, et al. Invariant NKT cells regulate experimental autoimmune encephalomyelitis and infiltrate the central nervous system in a CD1d-independent manner. J Immunol 2008;181:2321–9. [140] Yokote H, Miyake S, Croxford JL, Oki S, Mizusawa H, Yamamura T. NKT cell-dependent amelioration of a mouse model of multiple sclerosis by altering gut flora. Am J Pathol 2008;173:1714–23.
78
Neuroinflammation
[141] Tsunoda I, Tanaka T, Fujinami RS. Regulatory role of CD1d in neurotropic virus infection. J Virol 2008;82:10279–89. [142] Tsunoda I, Tanaka T, Taniguchi M, Fujinami RS. Contrasting roles for Vα14 natural killer T cells in a viral model for multiple sclerosis. J Neurovirol 2009;15:90–8. [143] Huseby ES, Liggitt D, Brabb T, Schnabel B, Öhlén C, Goverman J. A pathogenic role for myelin-specific CD8 T cells in a model for multiple sclerosis. J Exp Med 2001;194:669–76. [144] Na S-Y, Cao Y, Toben C, Nitschke L, Stadelmann C, Gold R, et al. Naïve CD8 T-cells initiate spontaneous autoimmunity to a sequestered model antigen of the central nervous system. Brain 2008;131:2353–65. [145] Tsunoda I, Kuang L-Q, Kobayashi-Warren M, Fujinami RS. Central nervous system pathology caused by autoreactive CD8 T-cell clones following virus infection. J Virol 2005;79:14640–6. [146] Tsunoda I, Kobayashi-Warren M, Libbey JE, Fujinami RS. Central nervous system degeneration caused by autoimmune cytotoxic CD8 T cell clones and hybridomas following virus infection. In: Binder MD, Hirokawa N, Windhorst U, editors. Encyclopedia of neuroscience. GmbH Berlin Heidelberg: Springer-Verlag; 2009. p. 619–25. [147] Fujinami RS, Rosenthal A, Lampert PW, Zurbriggen A, Yamada M. Survival of athymic (nu/nu) mice after Theiler’s murine encephalomyelitis virus infection by passive administration of neutralizing monoclonal antibody. J Virol 1989;63:2081–7. [148] Tsunoda I, Fujinami RS. TMEV and neuroantigens: myelin genes and proteins, molecular mimicry, epitope spresding and autoantibody-mediated remyelination. In: Lavi E, Constantinescu CS, editors. Experimental models of multiple sclerosis. New York NY: Springer; 2005. p. 593–616. [149] Tsunoda I, Fujinami RS. Theiler’s murine encephalomyelitis virus (TMEV). In: Ahmed R, Chen ISY, editors. Persistent viral infections. Chichester, West Sussex, England: John Wiley & Sons, Ltd.; 1999. p. 517–36. [150] Tsunoda I. Axonal degeneration as a self-destructive defense mechanism against neurotropic virus infection. Future Virol 2008;3:579–93. [151] Roos RP, Wollmann R. DA strain of Theiler’s murine encephalomyelitis virus induces demyelination in nude mice. Ann Neurol 1984;15:494–9. [152] Tsunoda, I., Fujinami, R.S. Neuropathogenesis of Theiler’s murine encephalomyelitis virus infection, an animal model for multiple sclerosis. J Neuroimmune Pharmacol 2009;5:355–69. [153] Pulizzi A, Rovaris M, Judica E, Sormani MP, Martinelli V, Comi G, et al. Determinants of disability in multiple sclerosis at various disease stages: a multiparametric magnetic resonance study. Arch Neurol 2007;64:1163–8. [154] Yanagawa K, Kawachi I, Toyoshima Y, Yokoseki A, Arakawa M, Hasegawa A, et al. Pathologic and immunologic profiles of a limited form of neuromyelitis optica with myelitis. Neurology 2009;73:1628–37. [155] Omura S, Koike E, Kobayashi T. Microarray analysis of gene expression in rat alveolar epithelial cells exposed to fractionated organic extracts of diesel exhaust particles. Toxicology 2009;262:65–72. [156] Singh MK, Scott TF, LaFramboise WA, Hu FZ, Post JC, Ehrlich GD. Gene expression changes in peripheral blood mononuclear cells from multiple sclerosis patients undergoing β-interferon therapy. J Neurol Sci 2007;258:52–9. [157] Satoh J, Nakanishi M, Koike F, Miyake S, Yamamoto T, Kawai M, et al. Microarray analysis identifies an aberrant expression of apoptosis and DNA damage-regulatory genes in multiple sclerosis. Neurobiol Dis 2005;18:537–50.
Animal Models of Multiple Sclerosis
79
[158] Kinter J, Zeis T, Schaeren-Wiemers N. RNA profiling of MS brain tissues. Int MS J 2008;15:51–8. [159] Comabella M, Martin R. Genomics in multiple sclerosis—current state and future directions. J Neuroimmunol 2007;187:1–8. [160] Brand-Schieber E, Werner P, Iacobas DA, Iacobas S, Beelitz M, Lowery SL, et al. Connexin43, the major gap junction protein of astrocytes, is down-regulated in inflamed white matter in an animal model of multiple sclerosis. J Neurosci Res 2005;80:798–808. [161] Gilgun-Sherki Y, Barhum Y, Atlas D, Melamed E, Offen D. Analysis of gene expression in MOG-induced experimental autoimmune encephalomyelitis after treatment with a novel brain-penetrating antioxidant. J Mol Neurosci 2005;27:125–35. [162] Baranzini SE, Bernard CCA, Oksenberg JR. Modular transcriptional activity chara cterizes the initiation and progression of autoimmune encephalomyelitis. J Immunol 2005;174:7412–22. [163] Roscoe WA, Welsh ME, Carter DE, Karlik SJ. VEGF and angiogenesis in acute and chronic MOG(35–55) peptide induced EAE. J Neuroimmunol 2009;209:6–15. [164] Paintlia AS, Paintlia MK, Singh AK, Stanislaus R, Gilg AG, Barbosa E, et al. Regulation of gene expression associated with acute experimental autoimmune encephalomyelitis by Lovastatin. J Neurosci Res 2004;77:63–81. [165] Lu C, Pelech S, Zhang H, Bond J, Spach K, Noubade R, et al. Pertussis toxin induces angiogenesis in brain microvascular endothelial cells. J Neurosci Res 2008;86:2624–40. [166] Rubio N, Sanz-Rodriguez F. Induction of the CXCL1 (KC) chemokine in mouse astrocytes by infection with the murine encephalomyelitis virus of Theiler. Virology 2007;358:98–108. [167] Rubio N, Palomo M, Alcami A. Interferon-α/β genes are up-regulated in murine brain astrocytes after infection with Theiler’s murine encephalomyelitis virus. J Interferon Cytokine Res 2010;30:253–62. [168] Navarrete-Talloni MJ, Kalkuhl A, Deschl U, Ulrich R, Kummerfeld M, Rohn K, et al. Transient peripheral immune response and central nervous system leaky compartmentalization in a viral model for multiple sclerosis. Brain Pathol 2010;20:890–901 [169] Ulrich R, Kalkuhl A, Deschl U, Baumgärtner W. Machine learning approach identifies new pathways associated with demyelination in a viral model of multiple sclerosis. J Cell Mol Med 2010;14:434–48.
5 Neuroimaging of Multiple Sclerosis: An Update
Alexandra Lopez-Soriano1, Robert Zivadinov1,2 1
Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, NY, USA 2 Department of Neurology, The Jacobs Neurological Institute, State University of New York, Buffalo, NY, USA
Conventional Magnetic Resonance Imaging Conventional magnetic resonance imaging (MRI) techniques have become an important tool for supporting a diagnosis of multiple sclerosis (MS), for ruling out MS mimickers, and for monitoring disease evolution in clinical trials. MRI is highly sensitive for detecting demyelinating plaques in the brain and spinal cord, but similar abnormalities can be found in other diseases and even in healthy subjects. Therefore, to increase the specificity of MRI findings, several diagnostic criteria have been proposed based on the demonstration of lesions disseminated in space and in time in the appropriate clinical context and after exclusion of alternative causes [1–4].
Inflammatory MRI Metrics MS plaques are usually at least 3 mm in size, ovoid, perivenular, following the vessel axis, and can occur in white matter (WM) and gray matter (GM) in the brain, spinal cord, or optic nerves. There are some locations considered characteristic for MS, including juxtacortical, periventricular, corpus callosum, infratentorial, and spinal cord. Spinal cord lesions are more common in the cervical than in the thoracic cord, and characteristically their length is two or fewer vertebral segments, and they are asymmetrical on axial sections [5]. Cortical lesions are very difficult to identify on conventional MRI sequences due to their small size and poor lesion-to-tissue contrast [6,7]. MS lesions are hyperintense on fluid-attenuated inversion recovery (FLAIR) and dual echo proton density (PD) and T2-weighted (PD/T2) MR sequences. Depending on the stage of evolution of a lesion and its degree of edema, demyelination/ remyelination, and axonal loss, lesions show more or less hypointensity on T1-weighted images. Newly active lesions represent transient breakdown of the blood–brain barrier (BBB) and can show nodular or ring-like contrast enhancement (Figure 5.1). Contrast enhancement can last from 1 to 16 weeks, but most of the Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00005-8 © 2011 Elsevier Inc. All rights reserved.
82
Neuroinflammation
Figure 5.1 Enhancing lesions typical of MS on axial T1-weighted postcontrast scans after gadolinium injection (0.1 mmol/kg). Two types of enhancing lesions are present in this 33-year-old man with RRMS: (A) homogenous lesions (hyperintense on T1-weighted images) and (B) open-ring lesions (with hypointense center and external hyperintense rim).
enhancement disappears over 4–6 weeks [8]. Persistent gadolinium enhancement for more than 3 months is unusual for MS lesions. Preexisting lesions on T2-weighted images can show contrast enhancement on T1-weighted images as a sign of inflammatory reactivation with BBB disruption [9]. Gadolinium enhancement is more common in younger patients than in older MS patients of all disease subtypes [10]. Some studies have also described a possible compartmentalization of inflammation in the progressive stage of MS behind a “repaired” BBB, which may lead to a chronic progressive active tissue injury without gadolinium enhancement [11]. Fifty percent of the T1 hypointense lesions resolve within 4 weeks, and a similar proportion of the hypointensities still visible after a month will disappear over the following 6 months [10,12]. T1 hypointense lesions persistent after 6–12 months are called chronic black holes and represent persistent tissue damage (demyelination and axonal loss). T1 hypointense lesions are more common with longer disease duration (Figure 5.2). On the other hand, most of these lesions remain hypointense with certain hyperintensity on T2-weighted images [10]. Apart from focal lesions, conventional T2-weighted images can show diffuse and more subtle signal hyperintensities in WM referred to as diffuse abnormal white matter (DAWM). DAWM presents extensive axonal loss, decreased myelin density, and chronic fibrillary gliosis [13].
Use of MRI for Diagnosis of MS MRI is able to demonstrate spatial and temporal dissemination of demyelinating plaques in the brain and spinal cord and is able to detect clinically silent lesions.
Neuroimaging of Multiple Sclerosis: An Update
83
Figure 5.2 Axial T1-weighted images in a 49-year-old woman with secondary progressive MS. On T1-weighted images, multiple lesions are hypointense or appear as “black holes.”
This is why MRI is integrated in the diagnostic scheme of MS and used to monitor treatment efficacy in clinical trials. International panel MRI criteria for supporting a diagnosis of MS [3] were revised in 2005 [4] to increase their sensitivity in the first mono-symptomatic attack, also known as clinically isolated syndrome (CIS), while maintaining high specificity. The McDonald criteria revised in 2005 consider dissemination in space on either baseline or follow-up MRI when three or more of the following four parameters are fulfilled: (a) nine or more T2 lesions or one or more gadolinium-enhancing lesions; (b) three or more periventricular lesions; (c) one or more juxtacortical lesions; (d) one or more posterior fossa lesions or spinal cord lesions. Any number of cord lesions can be included in the total lesion count. These criteria also consider dissemination in space when demonstrating two or more subclinical lesions consistent with MS on MRI, plus positive cerebrospinal fluid (CSF) findings (detection of oligoclonal bands or raised immunoglobulin G index). On the other hand, dissemination in time is fulfilled when one or both of the following conditions are demonstrated on MRI: (a) one or more gadolinium-enhancing lesions at least 3 months after CIS onset if not related to CIS and (b) a new T2 lesion with reference to a baseline scan obtained at least 30 days after CIS onset. Recently, these criteria have also been reviewed to simplify them and increase their sensitivity for an early diagnosis in CIS [1]. The new criteria propose one criterion for dissemination in space: presence of one or more asymptomatic T2 lesions in two or more of the four locations considered characteristic for MS (juxtacortical, periventricular, infratentorial, and spinal cord), excluding all lesions in the brain stem or spinal cord in cases of brain stem or spinal cord syndromes (concept of symptomatic region). The new proposal for dissemination in time includes the following: (a) simultaneous presence of asymptomatic gadolinium-enhancing and
84
Neuroinflammation
Figure 5.3 Axial FLAIR image shows widespread WM lesions in the periventricular region (A). WM lesions may also be seen at the cortical level (B).
nonenhancing lesions at any time and (b) a new T2 and/or gadolinium-enhancing lesion on follow-up MRI irrespective of the timing of the baseline scan. MS is still a clinical diagnosis, however, and these criteria should be applied in the proper clinical context because they have not been tested in cohorts with clinically atypical syndromes or other multifocal WM diseases. Likewise, the performance of these criteria in populations under 14 years of age or older than 50 years has not been tested [1]. In 2006, an international group of neurologists and radiologists provided guidelines for a standardized MRI protocol for the diagnosis and follow-up of MS patients [14]. In this consensus, conventional MRI sequences were recommended because they are generally available and widely used in the management of MS patients. For brain MRI, the following sequences were recommended: (a) sagittal fast FLAIR, which is sensitive to early MS lesions, such as those in the corpus callosum; (b) axial fast spin-echo (SE) or turbo SE PD and T2-weighted sequence (FSE PD/T2), which is more sensitive to infratentorial lesions than FLAIR; (c) axial fast FLAIR (Figure 5.3), which is especially sensitive to WM lesions in the periventricular and juxtacortical–cortical regions; and (d) axial gadolinium-enhanced T1 with a standard dose of 0.1 mmol/kg injected over 30 s and the scan starting a minimum of 5 min after start of the injection. Axial pregadolinium T1 was considered optional, but it is widely accepted as being performed routinely. Recommended slice thickness for the above sequences was 3 mm or less, with no inter-slice gap. Also, the 3D-T1 sequence was considered optional, as it is used in some centers for atrophy measures (partition thickness 1.5 mm or less). For spinal cord examination, the guidelines recommended the following sequences when acquired without a preceding enhanced brain MRI: (a) precontrast sagittal T1-weighted image; (b) precontrast sagittal FSE PD/T2, the PD series being better at depicting some lesions less apparent on heavily T2-weighted
Neuroimaging of Multiple Sclerosis: An Update
85
series; (c) precontrast axial FSE PD/T2 through suspicious lesions; (d) postcontrastenhanced sagittal T1-weighted image, with a standard dose of 0.1 mmol/kg injected over 30 s and the scan starting a minimum 5 min after start of the injection; and (e) postcontrast-enhanced axial T1-weighted image through suspicious lesions. When spinal MRI is acquired immediately following an enhanced brain MRI, the recommended sequences are the following: (a) postcontrast sagittal T1-weighted image; (b) postcontrast sagittal FSE PD/T2; (c) postcontrast axial T1-weighted image through suspicious lesions; and (d) postcontrast axial FSE PD/T2 through suspicious lesions. Recommended section thickness for sagittal sequences of the spinal cord is 3 mm without gap. The examinations should be performed on a closed 1.0 T or higher field MRI scanner to optimize image quality and tissue contrast. Considering the process of diagnosing suspected MS, brain MRI findings tend to be more common and characteristic for MS than those in the spinal cord. However, if the brain MRI results are equivocal, spinal cord MRI can sometimes be helpful because age-related T2 hyperintense lesions do not occur in the spinal cord, unlike in the brain. Some MRI findings are atypical for early MS [2], and exclusion of other pathologies should be performed—for example, vascular entities (vasculitis, embolic disease, amyloid angiopathy, CADASIL), vitamin B12 deficiency, infectious, neoplastic, or other non-MS idiopathic inflammatory-demyelinating processes. Some examples of those atypical findings are symmetric distribution of lesions, ill-defined lesion margins, absence of periventricular or corpus callosum lesions, punctiform parenchymal enhancement, diffuse WM involvement, predominance of lesions at the cortical–subcortical junction, large infiltrating brain stem lesions, mass effect, multiple lesions in basal ganglia, cortical or lacunar infarcts, hemorrhages or microhemorrhages, meningeal enhancement, selective involvement of the anterior temporal and inferior frontal lobe, persistent gadolinium enhancement and continued enlargement of lesions, simultaneous enhancement of all lesions, or diffuse abnormalities in the posterior columns of the cord.
Clinical/Radiologic Paradox Conventional MRI techniques are the most important paraclinical tool for the diagnosis and management of MS, as well as for monitoring the efficacy of experimental treatments. However, there is generally a poor correlation between clinical findings and the radiologic extent of involvement shown on conventional MRI techniques [6,15]. This clinical/MRI paradox is in part related to the fact that not all lesions are equivalent in terms of their functional impact. Some lesions in strategic areas in the brain may lead to very significant disability, whereas widespread alterations in nonstrategic areas may be clinically silent. Other reasons for this paradox have been already noted in relation to conventional MRI techniques: (a) limited specificity for the different pathologic substrates of MS [11] and (b) inability to detect and quantify the extent of damage in normal-appearing WM and normal-appearing GM. Another limitation of these techniques is the difficulty of assessing the reparative mechanisms and compensation by cerebral adaptation or plasticity. To overcome these limitations, in the past decade advanced sequences and new quantitative and nonconventional MRI
86
Neuroinflammation
techniques have been developed and applied to provide multidimensional information [16,17]. Some of these approaches include measures of hypointense T1 lesions and atrophy, measures of the changes within individual lesions on T2-weighted sequences by using voxel-wise dynamic lesion change mapping and subtraction techniques [18], magnetization transfer imaging (MTI), diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI), proton MR spectroscopy (MRS), functional MR imaging (fMRI), susceptibility-weighted imaging (SWI), and use of new contrast agents. Also, the use of higher field MRI scanners, including high-field 3.0 T and ultra-high-field 7.0 T, increases the sensitivity for detection of pathology.
Advanced Sequences, New Contrast Agents, High-Field MRI, Quantitative and Nonconventional MRI Techniques Three-Dimensional Fluid-Attenuated Inversion Recovery, Double Inversion Recovery Imaging, and T1-Weighted Imaging (SPGR, PSIR, MPRAGE) To increase the detection of cortical lesions, some improvements in inversion recovery sequences have been studied. The choice of slice thickness influences the ability to identify cortical–juxtacortical lesions. Diminishing the slice thickness to 1.5 mm in the 2D-FLAIR sequence significantly improved the sensitivity and precision of detecting cortical and juxtacortical lesions on a 1.5 T scanner [19]. In relation to this, the use of 3D sequences implies a special design for acquiring thin sections with a higher signal-to-noise ratio and small, nearly isotropic voxel dimensions, which also allows postprocessing without losing image quality, in contrast to 2D sequences [20]. A comparison study of conventional 2D-FLAIR and single-slab 3D-FLAIR sequences showed a significant increase in detection of MS lesions in general (supratentorial and infratentorial; study not centered specifically on cortical lesions) (Figure 5.4) [21]. Three-dimensional double inversion recovery imaging (3D-DIR) is probably the most effective technique today for detecting type I and II cortical lesions [22]. Apart from suppressing the signal from the CSF, this sequence uses an additional inversion pulse to suppress the signal from WM, showing superior delineation of GM and better contrast between lesions and the surrounding normal-appearing GM, which shows a slightly attenuated signal itself. Thus, 3D-DIR shows an increased sensitivity to intracortical lesions and better distinction between mixed WM and GM lesions from purely intracortical or juxtacortical lesions than 3D-FLAIR and T2-weighted SE sequences [23]. 3D-DIR showed an average increase of 152% in the detection of intracortical lesions per patient compared with 3D-FLAIR and more than 500% when compared with T2-weighted SE [23]. Other 3D sequences using high-resolution T1-weighted images, such as T1-weighted 3D-spoiled gradient-recalled-echo (SPGR) [24], T1-weighted phasesensitive inversion recovery (PSIR) [25], or 3D magnetization-prepared rapid acquisition gradient echo (MPRAGE) [26], also allow the detection of cortical lesions and their classification as purely intracortical, mixed GM and WM, or juxtacortical. These sequences have high spatial resolution and contrast between GM and WM and
Neuroimaging of Multiple Sclerosis: An Update
87
Figure 5.4 Comparison of 2D-FLAIR (A) versus 3D-FLAIR (B). 3D-FLAIR shows significantly better delineation of the lesions than 2D-FLAIR.
provide a clearer delineation of the GM–WM boundary than DIR sequences. Lesions appear hypointense on these T1 sequences. Apart from improving the ability to categorize cortical lesions, the combined analysis of both DIR and these high-resolution T1-weighted sequences increases the reliability of lesion detection when confirming the presence of a lesion in both sequences and allows rejection of artifacts [25]. However, when comparing the amount of cortical lesions reported on these sequences and those in histopathologic studies, 80% or more of type III cortical lesions remain undetected even with 3D-DIR or 3D-MPRAGE techniques [22,23,27,28]. When comparing 3D-DIR with T1-weighted 3D MPRAGE, the former showed better detection of intracortical and mixed WM and GM lesions [20]. Some cortical lesions detected on the T1-weighted sequence were hardly or not at all visible on 3D-DIR, and vice versa. Some reasons for this may be possible increased sensitivity of the T1-weighted sequence for detecting more chronic lesions over 3D-DIR and/or the regional variation of the signal throughout the cortex on 3D-DIR sequences [20,22]. 3D imaging techniques allow quality reconstructions to select optimal viewing planes and to compare and register with other sequences, which is valuable for longitudinal studies. Moreover, 3D sequences such as 3D-DIR, 3D-FLAIR, and 3D-MPRAGE have been improved with the implementation of single-slab, isotropic versions instead of multi-slab, which implies a reduction of acquisition time as well as a reduction of slice-profile and flow artifacts from blood or CSF, especially in the posterior cranial fossa [20,29]. These improvements facilitate the use of those sequences in clinical practice. Single-slab 3D sequences DIR and FLAIR showed increased detection of both GM and WM lesions, as well as infratentorial lesions, compared to 2D and 3D T2-weighted sequences. 3D-DIR showed the highest detection of intracortical and mixed WM and
88
Neuroinflammation
GM lesions but demonstrated fewer small lesions in the deep WM than 3D-FLAIR. The latter could be explained by a partial suppression effect and relatively low signalto-noise ratio due to the two inversion pulses of the 3D-DIR sequence itself [20]. In conclusion, technical developments of inversion recovery sequences allow an increased detection of cortical, WM, and infratentorial MS lesions with reasonable acquisition times and the possibility of reformatting the images with high quality. For these reasons, single-slab 3D-DIR and 3D-FLAIR could substitute for T2-weighted SE sequences in routine clinical practice and research [23]. The increase of lesion volume (LV) detection is important when assessing and monitoring disease activity in the clinical setting and research trials. The improvement of detection of infratentorial lesions also has prognostic implications because these lesions predict a high risk for earlier and clinically relevant long-term disability in patients with initial findings suggestive of MS [30]. The possibility of detecting cortical lesions, although limited in comparison to histologic findings, allows for quantifying cortical LV and assessing its clinical relevance (physical and cognitive impairment and epilepsy) [31], as well as its role in studying the pathophysiology of MS [32]. Cortical lesions detected by DIR are more common at later MS stages, when the CSF shows an inflammatory profile (presence of IgG oligoclonal bands), and in males, but they could be found from disease onset. They have also been associated with more pronounced brain tissue damage (increased T2-LV and decreased brain parenchyma fraction) and a higher clinical disability score [27]. In a 2-year longitudinal study in primary progressive MS, cortical LV at baseline correlated with increasing cortical atrophy and disability accumulation and was an independent predictor of these changes [33]. When comparing 2D-DIR with 2D-FLAIR and T2-weighted turbo SE sequences at 1.5 T and a high field of 3.0 T, DIR at 3.0 T seems to be the sequence with the highest overall sensitivity in the detection of focal MS lesions, with especially higher sensitivity in cortical and infratentorial lesions. The DIR sequence has a better contrast ratio between lesions and normal-appearing brain tissue than the other sequences; it also takes better advantage of the higher signal-to-noise ratio provided by 3.0 T [34–36]. However, taking into account the cortical LV detected histopathologically, the sensitivity of MRI using DIR remains relatively low even at 3.0 T. Despite this, the DIR sequence at 3.0 T could become a valuable clinical tool because the cortical lesions detected with MRI correlate with clinical outcome measures such as cognitive impairment and physical disability [27,33,37]; on the other hand, infratentorial lesions are a prognostic parameter [30]. 3D acquisition techniques at 3.0 T are being developed and assessed in MS patients and show promising results. They are high-quality images with well-tolerated acquisition times and suitability for postprocessing techniques, thanks to the volumetric characteristics of the data [38].
New Contrast Agents Conventional gadolinium contrast agents are used to detect new or reactivated inflammatory lesions with disruption of the BBB, which leads to accumulation of the contrast agent in the interstitial space. However, there is heterogeneity in the
Neuroimaging of Multiple Sclerosis: An Update
89
inflammatory processes in MS and there is inflammatory activity not detected with gadolinium contrast agents despite the presence of BBB disruption [11]. New MR contrast agents are able to track some cell subsets, such as macrophages, and allow us to study the presence of those cells in MS lesions, which implies a different approach for assessing inflammation, a cell-specific mechanism [39,40]. These contrast agents include super-paramagnetic iron oxides (SPIOs) and ultra-small superparamagnetic iron oxides (USPIOs) composed of nanoparticles made of stabilized iron oxides with very high T1 and T2 relaxivities [41]. These particles circulate in the blood pool and are phagocytosed by monocytes and macrophages. Preclinical studies of the experimental autoimmune encephalomyelitis (EAE) rat model of MS revealed in vivo the presence of macrophages in brain lesions [42–45]. Several phase II imaging studies in patients with relapsing–remitting MS (RRMS) described the characteristics of MS lesions using USPIO compared with gadolinium contrast. Enhancing lesions were seen as high signal intensities on T1-weighted images [40,46] and showed three different patterns: focal, ring-like, and isointense that were previously T1 hypointense [40]. On T2-weighted images, preclinical studies and some clinical studies showed a signal decrease by the lesions [46]. However, other clinical studies showed a lack of signal decrease on post-USPIO T2/T2* weighted images, suggesting that this effect depends on the type of USPIO particles, their concentration, and their ability to be incorporated into the cells [40]. When comparing USPIO enhancement with gadolinium enhancement, the former was more common than the later, enhanced for a longer period of time, and, in some cases, preceded gadolinium enhancement [40]. Both preclinical and clinical studies showed a spatial and temporal mismatch between these two types of enhancement, which could be related to differences in the underlying pathology and/or the stage of the lesions. These two distinct patterns of enhancement provide complementary information about the inflammatory process, with increased BBB permeability seen with gadolinium contrast and, on the other hand, the entrance of USPIO-labeled monocytes into the central nervous system (CNS), with or without a certain component of passive extravasation of nonmacrophage-incorporated USPIO across an open BBB, which cannot be excluded [40,47]. Apart from being pathophysiologically and clinically relevant, USPIOs have the potential to be a valuable tool for assessing the efficacy of new therapeutics, as shown in some preclinical studies [45,48]. Other new MR contrast agents are being developed and assessed in preclinical studies [49,50]—for example, the use of super-paramagnetic antibodies specific for cell surface antigens, which allow labeling and imaging of any cell with unique surface markers such as different inflammatory cells in the CNS: CD4 T, CD8 T, and Mac1 cells [51]. Other MR contrast agents in development that could be useful for studying MS are called responsive/activated or smart contrast agents, which undergo an important change in relaxivity upon activation. Therefore, for instance, it is possible to detect myeloperoxidase activity in inflamed tissues in vivo by using a myeloperoxidase-sensitive contrast agent [52]. Finally, another example of an experimental contrast agent is gadofluorine M, an amphiphilic macrocyclic gadolinium complex that allows visualization of subtle BBB alterations not visible with conventional gadolinium enhancement [50,53].
90
Neuroinflammation
High-Field-Strength MRI Magnetic field strengths higher than 1.5 T are considered high-field MRI scanners, usually 3.0 T scanners. Field strengths beyond 4.0 T are considered ultra-high-field scanners, usually 7.0 T. The main advantages of high field strengths are the increased signal-to-noise ratio and chemical shift. The higher signal-to-noise ratio can be used either for reducing scan time without losing diagnostic quality or for increasing spatial resolution. Higher field strengths also imply changes in T1 relaxation time leading to an increased postcontrast signal of the gadolinium-enhancing lesions [36]. Therefore, several studies comparing 1.5 and 3.0 T field strength scanners from different vendors confirmed that conventional brain sequences at 3.0 T offer higher lesion detection rates compared to 1.5 T (Figure 5.5) [54–58]. From a clinical point of view, this improvement is important for prognostic purposes, although it does not imply an earlier diagnosis of lesion dissemination in time and, therefore, definite MS [59,60]. On the other hand, no significantly higher sensitivity in the detection of spinal cord lesions has been proven when comparing 1.5 T with 3.0 T [61]. Nonconventional MR techniques such as MRS also take advantage of the increased chemical shift, which provides a higher spectral resolution. A higher chemical shift together with increased signal-to-noise ratio implies an improvement of the quantification of metabolite concentrations [62,63]. High-field MRI also implies an increased magnetic susceptibility effect, which, despite the artifacts, implies improvement of techniques such as SWI, susceptibilityweighted perfusion, blood oxygen level-dependent (BOLD) fMRI, and DTI [36].
Figure 5.5 Evaluation of T2 hyperintense lesions in patients with RRMS on FLAIR images. 1.5 T scanner (A) shows lower T2-LV than 3 T (B) (arrow).
Neuroimaging of Multiple Sclerosis: An Update
91
Some of the disadvantages of high magnetic fields are the heterogeneity of the field, higher radiofrequency power deposition, and the need to adapt imaging protocols from lower field strengths. When considering ultra-high field strengths, these drawbacks remain as challenges to be solved, especially for in vivo applications [36]. One of the interesting applications of ultra-high-field MRI in MS have been highresolution postmortem MR studies to perform histopathologic correlations of GM and WM lesions with MRI findings. A spinal cord study performed at 4.7 T showed increased sensitivity in the detection of lesions when compared to lower field strength [64]. On the other hand, a postmortem study to compare detection of intracortical lesions between 1.5 T and 4.7 T showed sensitivity below 10% for both fields [65]. Still another postmortem study performed at 8 T showed increased detection compared to 1.5 T [66]. A study performed in a small group of MS patients at 7 T demonstrated the possibility of characterizing different cortical lesion types according to histopathology [67]. An increased susceptibility effect at ultra-high field strengths can be useful for studying special features of MS pathology such as iron deposition in basal ganglia or MS lesions without injection of contrast media [36,68,69].
Quantitative MR Methods and Nonconventional MRI Techniques Brain Atrophy Measurements Brain atrophy is the best-accepted imaging biomarker of neurodegeneration and progression of disability in MS [70]. It is more severe in progressive forms and advanced stages of the disease, but it can also be present early in the disease process [70–72]. Massive cortical demyelination and diffuse axonal loss in the normal-appearing WM, which contribute to loss of brain volume, are present in the later stages of MS [73]. By using MRI, brain atrophy can be detected in vivo and measured in a reproducible manner by automated or semi-automated methods [15]. When considering brain volumes as measurements of brain atrophy (tissue loss), it is important to be aware of some limitations and confounding factors in relation to transient changes in water content. For example, relative dehydration or recent treatment with anti-inflammatory agents such as corticosteroids, natalizumab, interferon-beta, or immunoablation followed by stem-cell transplantation leads to a decrease in cerebral volume called pseudo-atrophy [74]. On the other hand, remyelination, reactive gliosis, or edema in relation to inflammation and new lesions may mask reductions in brain volume or an increase in brain volume [39,74]. Dynamic changes in brain volume in MS can be considered a composite of volume-gaining and volume-losing processes that are influenced by the extent of inflammatory, neurodegenerative, and remyelinating processes and the potency of anti-inflammatory therapy as well as its neuroprotective effects. In MS patients, atrophy is not limited to the WM; in fact, the GM seems to be affected more than the WM, especially the basal ganglia and thalamus [75–77]. GM atrophy develops at a much faster rate than WM atrophy [78–80]. CNS atrophy is a moderate but significant predictor of neurologic impairment that is independent of
92
Neuroinflammation
the effect of conventional MRI lesions [81,82]. Including GM atrophy in the assessment of patients with MS may further improve the usefulness of MRI measurements [83–85]. The relationship between spinal cord atrophy and disability is strong [86]. Total and regional brain volumes are further decreased in patients with a confirmed diagnosis of MS, particularly in those in advanced stages of the disease [87]. Further research is needed to understand the interrelationship between demyelination, neuronal and axonal loss, neurodegeneration, and cerebral volume changes [39].
Magnetization Transfer Imaging MTI measures the interactions between protons in free fluids and protons bound to macromolecules such as myelin and axonal membranes by use of the magnetization transfer ratio (MTR) [88]. Although the MTR is not a specific measure of a determinate pathologic substrate, in MS patients a decreased MTR most likely indicates demyelination and axonal loss in lesions and normal-appearing brain tissue, as shown in postmortem pathologic correlations [89,90]. A reduced proton exchange, or decreased MTR, may also be due to edema, gliosis, and inflammation [91], whereas an elevated proton exchange, or increased MTR, is evidence of possible remyelination or resolution of edema. MTI is probably the technique best adapted to measuring the extent of remyelination in patients with MS [90,92,93]. A voxel-by-voxel comparison of MTR changes in serial MRI scans allows monitoring of demyelination and remyelination in vivo [94–97]. Different lesions can thus be characterized as predominantly demyelinating or remyelinating, and, even within the same lesion, heterogeneity in myelination status over time can be observed (Figure 5.6). The degree of MTR alteration can be considered a marker of lesion severity, being more pronounced in patients with progressive MS and in black holes. MTR alteration can precede T2-visible lesion formation and tends to worsen with disease progression [98]. MTR decreases are related to cognitive impairment and can predict accumulated neurologic disability [15].
Magnetic Resonance Spectroscopy Proton magnetic spectroscopy (1H-MRS) has the unique ability to measure metabolites in tissues in vivo noninvasively. This technique allows the quantification of metabolic changes in lesions and normal-appearing brain tissue and complements the structural information provided by conventional MRI [39,99]. The most relevant metabolites in MS patients and CIS are the following: N-acetyl-aspartate (NAA) is considered a marker of neuro-axonal viability; myoinositol is a marker of glial cell activity; choline is a cell membrane marker; creatine is a marker of energy metabolism; lipids are components of cell membranes; lactate is a product of anaerobic glycolysis; and glutamate, glutamine, and GABA (gammaaminobutyric acid) are neurotransmitter amino acids. A decrease in NAA is associated with axonal/neuronal damage or dysfunction. An increase in choline and lipids is associated with myelin breakdown, remyelination, and inflammation. Increased choline concentration is seen when cell density increases. Increased myo-inositol levels suggest glial proliferation and astrogliosis.
Neuroimaging of Multiple Sclerosis: An Update
93
Figure 5.6 From left to right: FLAIR image, MTR map, and raw voxel-wise dynamic MTR map. The raw voxel-wise MTR map shows areas of MTR stability (yellow), decrease of MTR (red), and increase in MTR (green) associated with lesions and normal-appearing brain tissue in a patient with MS over 1 year. Note the T2 lesion (arrow) corresponding to the red area (decrease of MTR) on the voxel-wise MTR map (arrow) over the follow-up, possibly reflecting demyelination. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this book.)
Increased glutamate levels suggest glutamate excitotoxicity. A higher concentration of lactate is related to inflammatory or ischemic conditions. In active lesions there is an increase of creatine, choline, myo-inositol, glutamate, lactate, and lipids. NAA may be low or slightly decreased and can be partially restored after the acute phase. The changes in these metabolite levels are dynamic and variable over time and should be interpreted with caution. After the acute phase, lactate, choline, lipids, and glutamate return to normal levels. In chronic nonenhancing lesions, NAA is reduced and myo-inositol is increased (Figure 5.7). An elevated concentration of myo-inositol is not present in other age-related WM lesions [100]. In definite MS patients, NAA is decreased in normal-appearing WM and myoinositol is increased, suggesting axonal damage or dysfunction and increased glial cell activity. In patients with CIS, NAA and myo-inositol have prognostic relevance because a lower concentration of the former and a higher concentration of the latter have been demonstrated in patients converting to definite MS when compared to healthy controls [36]. High magnetic field strengths imply a higher signal-to-noise ratio and improved spectral separation. This allows more accurate and reproducible quantification of metabolites, as well as the study of regions such as the infratentorial brain and the spinal cord [36]. Due to high technical demands and limitations of MRS, this technique is not routinely used for assessing and monitoring MS patients in clinical practice or trials [99]. Some guidelines for using 1H-MRS in multicenter clinical MS studies have been proposed [101]. Single-voxel technique instead of multivoxel acquisition was recommended because the former is easier to standardize. According to these guidelines,
94
Neuroinflammation
Figure 5.7 MRS imaging in normal control (left) and MS patient (right). LC model was used to estimate the value of the spectra. The NAA/Cr ratio is higher in the normal-appearing white matter of the normal control and lower in the T1 hypointense lesion of the MS patient.
short echo-time acquisition should be used to measure metabolites such as myoinositol, lipids, or amino acids because of their short T2 relaxation times. Long echo times should be used to monitor NAA because these acquisitions are less influenced by gradient-induced distortions and the baseline is better delineated. The deep central WM centered on the corpus callosum, where much of the visible MR pathology occurs in MS, was also recommended.
Diffusion-Weighted and Tensor Imaging Diffusion imaging, which includes DWI and DTI, measures Brownian motion of water molecules in a fluid system and allows inferences to be made about the orientation, size, and geometry of axonal fibers and the major WM tracts in lesions and normal-appearing brain tissue [102–105]. DWI and DTI are acquired by applying DWI magnetic field gradients in many directions. Disruption of WM tracts and axonal membrane permeability implies an increase in water diffusivity measured by increased apparent diffusion coefficient (ADC) and mean diffusivity (MD), as well as a decrease in fractional anisotropy (FA), which measures a directional
Neuroimaging of Multiple Sclerosis: An Update
95
preponderance of diffusion [15]. Abnormalities in diffusivity patterns have been seen in both focal lesions and normal-appearing WM and normal-appearing GM. MS plaques show increased MD and ADC values and decreased FA, which are nonspecific changes in relation to demyelination, gliosis, inflammation, axonal contraction, and axonal loss [15]. Diffusion techniques also show those abnormal parameters, although less prominently, in normal-appearing WM and normal-appearing GM, suggesting the presence of subtle microstructural changes. Acute MS plaques may also show a transient decrease in ADC, probably in relation to the swelling of myelin sheaths, a certain degree of cytotoxic edema, or dense inflammatory cell infiltration. Diffusion abnormalities become more pronounced with increasing disease duration and neurologic impairment. Diffusion MRI is a sensitive marker of subtle microstructural changes, and it has been shown to be sensitive to the evolution of MS damage over short periods of time; however, the precision and accuracy of diffusion parameters to monitor longitudinal MS-related changes need further research [105]. The reason for this is that diffusion techniques remain challenging in terms of image acquisition, reproducibility across different sequences and scanners, and postprocessing methods [36]. Most diffusion techniques are based on single-shot echo planar imaging sequences, which allow fast image acquisition but are also prone to geometric distortions, limited signal-to-noise ratio, and low spatial resolution. Some of these drawbacks could be overcome by high-field MRI with higher signal-to-noise ratio, which can be applied to reduce scan time and distortions as well as to increase spatial resolution. High magnetic field scanners improve the study of the optic nerve, spinal cord, and GM, which are technically more difficult to study at lower field strengths. Diffusion tensor tractography methods also benefit from higher spatial resolution [36]. Tractography methods studying connectivity between different structures or GM regions, together with functional MRI, could lead to a better understanding of pathologic changes, functional reserve, and brain plasticity [39].
Functional MRI Functional MRI is an emerging technique that assesses brain activation patterns by using BOLD contrast, which is based on differences in deoxygenated hemoglobin concentrations in the blood, in brain regions secondary to neuronal activity [106]. This technique allows a noninvasive spatial localization of brain function. In MS patients, abnormal activation has been described, as well as the presence of adaptive and/or compensatory mechanisms from early stages of the disease [36,107]. This functional reorganization during task performance could be shown, for example, as increased activation of ipsilateral and contralateral cortices and recruitment of parallel existing pathways or distant sites. However, as the disease progresses, brain reserve is exceeded and activation decreases in relation to previous stages. fMRI could be used to monitor the efficacy of rehabilitation or pharmacologic therapies that promote neuroplasticity [15,39]. High magnetic fields with increased sensitivity to susceptibility differences and higher spatial resolution can acquire a higher BOLD signal that allows detection of areas of activation not shown at standard field strengths [36,39].
96
Neuroinflammation
Susceptibility-Weighted Imaging SWI is a new neuroimaging technique that uses tissue magnetic susceptibility differences to generate a unique contrast, different from that of spin density, T1, T2, and T2* [108]. SWI involves the use of both magnitude and phase images from a high-resolution, 3D fully velocity-compensated gradient recalled echo sequence. Phase masks are created from the MR phase images, and multiplying these with the magnitude images increases the conspicuousness of the smaller veins and other sources of susceptibility effects (such as iron deposits), which are depicted using minimal intensity projection (minIP) (Figure 5.8). SWI correlates with brain iron content, perhaps ferritin specifically. The phase images are useful in differentiating between diamagnetic and paramagnetic susceptibility effects of calcium and blood, respectively. The use of SWI in MS has gained increasing attention in the past few years, especially with the use of highfield and ultra-high-field MRI. Although the use of SWI in MS is in its infancy, the detection of vein abnormalities and areas of iron deposition in the brain are two main topics of interest. Previous studies in MS have identified iron accumulation in deep GM [109] and plaques [110], but they did not establish whether iron deposition was
Figure 5.8 SWI in a patient with secondary progressive MS. The upper row represents images with a single dose of gadolinium (0.1 mmol/kg). The lower row shows the SWI images with a triple dose of gadolinium (0.3 mmol/kg). From left to right: high-pass-filtered phase image, SWI image, and minimum intensity projection (minIP). The SWI images show focal areas of hypointensity representing iron deposition (note the advantages of triple versus single dose in visualization of these hypointensities). The minIP images are used to reconstruct the vein architecture in the brain (again, note advantages of single versus triple dose in visualization of the veins).
Neuroimaging of Multiple Sclerosis: An Update
97
a primary phenomenon in MS pathology or was secondary to chronic inflammation in MS. Iron deposition in MS patients may derive from myelin/oligodendrocyte debris or destroyed macrophages, or it can be the product of hemorrhages from damaged brain vessels [111,112]. In addition, iron overload may also lead to oxidative mitochondrial injury through Fenton reaction and release phospholipid-rich cellular membrane elements in MS [113]. The mechanism of direct damage to the CNS by iron might be related to oxidative stress and the generation of toxic free radicals [113]. Recently, it was proposed that iron deposits in MS are a consequence of altered cerebrospinal venous return and chronic insufficient venous drainage, but this suggestion needs further research to be proved [112,114]. Transferrin carries iron from the blood into tissues, while ferritin stores excess iron atoms that are not immediately engaged in metabolic activities. Free iron generally occurs when iron levels exceed the capacity of transferrin to bind the iron in the CNS. An excess of iron contributes to a number of CNS neurodegenerative processes because free ferrous iron reacts with peroxides to produce free radicals, which are highly reactive and can damage DNA, proteins, lipids, and other cellular components [112]. Both free and bound iron lead to toxic effects in the cells. Because the concentration of transferrin receptors is physiologically higher in the deep GM structures [112,114], iron is usually stored in these areas of the brain as a result of aging and other pathologic processes. Iron is a paramagnetic substance that reduces T2 relaxation time on MRI, resulting in hypointensity on T2-weighted images. Bakshi et al. [115,116] showed almost a decade ago the presence of deep GM T2 hypointensity in patients with MS. These authors recently reported that the deep GM T2 hypointensity is present even at first symptom onset [117]. Various imaging techniques have been used to evaluate the amount of deep GM iron deposition, including T2 hypointensity [115,116], relaxometry [118,119], magnetic field correlation [120], and SWI [68,69,110]. SWI is a unique MRI technique that offers a way to visualize tissues affected by iron deposition in the form of ferritin, deoxyhemoglobin, or hemosiderin. Therefore, measurement of iron deposition in the deep GM structures of MS patients on SWI may be an important biomarker of the disease process from the earliest phases of the disease and can predict iron content more accurately than other available imaging techniques [68,110,121,122]. Recent studies identified the pulvinar nucleus of the thalamus as well as entire thalamus, globus pallidus, caudate, and hippocampus as the deep GM structures with increased iron content in MS patients [68,69]. Recently published studies detected SWI lesions not seen on conventional MRI [68,110]. In one study, phase images showed contrast in 74% of the 403 lesions, increasing the total lesion count by more than 30% and showing distinct peripheral rings and a close association with the vasculature [68]. In another study, Haacke et al. [110] found a total of 75 lesions seen only with conventional imaging, 143 only with SWI, and 204 by both. From the iron quantification measurements, a moderate linear correlation between signal intensity and iron content (phase) was established. In a pilot study, we used a manual region-of-interest approach that identified SWI magnitude and phase lesions [69]. Phase-visible lesions were further subdivided into nodular, ring-shaped, scattered, and cortical subcategories. Magnitude lesions were also assessed. We attempted to evaluate the lesions associated with veins [68]
98
Neuroinflammation
but determined that the assessment was not reliable in most of the scans. All lesion masks were co-registered into the subject-specific upsampled FLAIR space, and an overlap with respect to T2, T1, and magnitude intersections of phase lesions was automatically obtained. The mean number of phase and magnitude lesions was more than 50% lower compared to T2 and T1 lesions. The phase and magnitude lesions largely did not overlap with T2 and T1 lesions. The most representative phase lesion type was nodular. The highest iron concentration was detected in the phase lesions and in the overlapping intersections of phase T2, T1, and magnitude lesions. All in all, these preliminary findings suggest that phase lesions and their overlaps with T2, T1, and magnitude lesions represent an important new lesion category in MS patients. Ultra-high-field 7.0 T MRI has provided sophisticated imaging capabilities by virtue of increased signal intensity and enhanced susceptibility effects, fundamental quantities underlying image resolution and contrast, respectively. On high resolution, susceptibility-sensitive T2*-weighted images at ultra-high-field 7.0 T MRI, most lesions are associated with centrally coursing veins. We recently developed an objective method for quantifying venous vasculature in brain parenchyma on SWI and applied this technique in 62 MS patients and in 22 age- and sex-matched healthy controls imaged on a 3 T GE scanner using precontrast SWI [69]. A subset of MS patients (50) and healthy controls (7) underwent a SWI postgadolinium contrast sequence (0.1 mmol/kg Gd-DTPA with a 10-min delay). An in-house–developed segmentation algorithm, based on a 3D multiscale line filter, was applied for vein segmentation. Absolute volumetric measurement for total vein vasculature was performed in milliliters and the relative venous intracranial fraction (VIF) was obtained to correct for head size and amount of brain atrophy. The size of individual veins was measured in millimeters and four groups were created according to their mean diameter: less than 0.3 mm, 0.3–0.6 mm, 0.6–0.9 mm, and more than 0.9 mm. Voxel brain average distance-from-vein maps were also calculated, with a higher distance indicating fewer veins. A significantly lower absolute venous volume was detected in MS patients compared to healthy controls, both in precontrast (67.5 versus 82.7 mL, 18.3%, P<0.001) and postcontrast (70.4 versus 87.1 mL, 19.1%, P<0.011) images. The VIF was significantly lower in MS patients (P<0.001). The highest mean diameter difference was found for the smallest veins (<0.3 mm), both on precontrast (P<0.001) and post-contrast (P<0.018) images. The distance from veins was also significantly higher in MS patients (P<0.001). We showed altered visibility of venous vasculature on SWI pre- and postcontrast images in MS patients. To summarize, SWI at ultra-high magnetic field allows the visualization of microvascular structures and the detection of iron deposition in brain structures and lesions and improves the detection rate of MS lesions in vivo. Therefore, this could be an important tool for further research.
Conclusions Although conventional MRI is an important tool in the diagnosis and management of MS, the ability of conventional MRI techniques to accurately assess inflammatory
Neuroimaging of Multiple Sclerosis: An Update
99
and neurodegenerative changes is limited. Advanced MRI sequences, new contrast agents, nonconventional and quantitative MRI techniques, and high- and ultra-highfield scanners provide more sensitive tools for studying the pathophysiology of MS and for monitoring disease evolution and activity.
References [1] Montalban X, Tintore M, Swanton J, Barkhof F, Fazekas F, Filippi M, et al. MRI criteria for MS in patients with clinically isolated syndromes. Neurology 2010;74:427–34. [2] Miller DH, Weinshenker BG, Filippi M, Banwell BL, Cohen JA, Freedman MS, et al. Differential diagnosis of suspected multiple sclerosis: a consensus approach. Mult Scler 2008;14:1157–1174. [3] McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD, et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the Diagnosis of Multiple Sclerosis. Ann Neurol 2001;50:121–7. [4] Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Ann Neurol 2005;58:840–6. [5] Lycklama G, Thompson A, Filippi M, Miller D, Polman C, Fazekas F, et al. Spinal-cord MRI in multiple sclerosis. Lancet Neurol 2003;2:555–62. [6] Barkhof F. The clinico-radiological paradox in multiple sclerosis revisited. Curr Opin Neurol 2002;15:239–45. [7] Geurts JJ, Bo L, Pouwels PJ, Castelijns JA, Polman CH, Barkhof F. Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology. AJNR Am J Neuroradiol 2005;26:572–7. [8] Cotton F, Weiner HL, Jolesz FA, Guttmann CR. MRI contrast uptake in new lesions in relapsing–remitting MS followed at weekly intervals. Neurology 2003;60:640–6. [9] Traboulsee A, Li DK. Conventional MR imaging. Neuroimaging Clin N Am 2008;18:651–73, x. [10] Bakshi R, Minagar A, Jaisani Z, Wolinsky JS. Imaging of multiple sclerosis: role in neurotherapeutics. NeuroRx 2005;2:277–303. [11] Lassmann H, Bruck W, Lucchinetti CF. The immunopathology of multiple sclerosis: an overview. Brain Pathol 2007;17:210–8. [12] Filippi M, Rovaris M, Rocca MA, Sormani MP, Wolinsky JS, Comi G. Glatiramer acetate reduces the proportion of new MS lesions evolving into “black holes”. Neurology 2001;57:731–3. [13] Seewann A, Vrenken H, van der Valk P, Blezer EL, Knol DL, Castelijns JA, et al. Diffusely abnormal white matter in chronic multiple sclerosis: imaging and histopathologic analysis. Arch Neurol 2009;66:601–9. [14] Simon JH, Li D, Traboulsee A, Coyle PK, Arnold DL, Barkhof F, et al. Standardized MR imaging protocol for multiple sclerosis: consortium of MS centers consensus guidelines. AJNR Am J Neuroradiol 2006;27:455–61. [15] Rovira A, Leon A. MR in the diagnosis and monitoring of multiple sclerosis: an overview. Eur J Radiol 2008;67:409–14. [16] Zivadinov R, Stosic M, Cox J, Ramasamy D, Dwyer M. The place of conventional MRI and newly emerging MRI techniques in monitoring different aspects of treatment outcome. J Neurology 2008;255:61–74.
100
Neuroinflammation
[17] Zivadinov R. Can imaging techniques measure neuroprotection and remyelination in multiple sclerosis? Neurology 2007;68:S72–82. [18] Moraal B, Meier DS, Poppe PA, Geurts JJ, Vrenken H, Jonker WM, et al. Subtraction MR images in a multiple sclerosis multicenter clinical trial setting. Radiology 2009;250:506–14. [19] Dolezal O, Dwyer MG, Horakova D, Havrdova E, Minagar A, Balachandran S, et al. Detection of cortical lesions is dependent on choice of slice thickness in patients with multiple sclerosis. Int Rev Neurobiol 2007;79:475–89. [20] Moraal B, Roosendaal SD, Pouwels PJ, Vrenken H, van Schijndel RA, Meier DS, et al. Multi-contrast, isotropic, single-slab 3D MR imaging in multiple sclerosis. Eur Radiol 2008;18:2311–20. [21] Bink A, Schmitt M, Gaa J, Mugler 3rd JP, Lanfermann H, Zanella FE. Detection of lesions in multiple sclerosis by 2D FLAIR and single-slab 3D FLAIR sequences at 3.0 T: initial results. Eur Radiol 2006;16:1104–10. [22] Geurts JJ, Barkhof F. Grey matter pathology in multiple sclerosis. Lancet Neurol 2008;7:841–51. [23] Geurts JJ, Pouwels PJ, Uitdehaag BM, Polman CH, Barkhof F, Castelijns JA. Intracortical lesions in multiple sclerosis: improved detection with 3D double inversionrecovery MR imaging. Radiology 2005;236:254–860. [24] Bagnato F, Butman JA, Gupta S, Calabrese M, Pezawas L, Ohayon JM, et al. In vivo detection of cortical plaques by MR imaging in patients with multiple sclerosis. AJNR Am J Neuroradiol 2006;27:2161–7. [25] Nelson F, Poonawalla AH, Hou P, Huang F, Wolinsky JS, Narayana PA. Improved identification of intracortical lesions in multiple sclerosis with phase-sensitive inversion recovery in combination with fast double inversion recovery MR imaging. AJNR Am J Neuroradiol 2007;28:1645–9. [26] Nelson F, Poonawalla A, Hou P, Wolinsky JS, Narayana PA. 3D MPRAGE improves classification of cortical lesions in multiple sclerosis. Mult Scler 2008;14:1214–9. [27] Calabrese M, De Stefano N, Atzori M, Bernardi V, Mattisi I, Barachino L, et al. Detection of cortical inflammatory lesions by double inversion recovery magnetic resonance imaging in patients with multiple sclerosis. Arch Neurol 2007;64:1416–22. [28] Kidd D, Barkhof F, McConnell R, Algra PR, Allen IV, Revesz T. Cortical lesions in multiple sclerosis. Brain 1999;122(Pt 1):17–26. [29] Pouwels PJ, Kuijer JP, Mugler 3rd JP, Guttmann CR, Barkhof F. Human gray matter: feasibility of single-slab 3D double inversion-recovery high-spatial-resolution MR imaging. Radiology 2006;241:873–9. [30] Minneboo A, Barkhof F, Polman CH, Uitdehaag BM, Knol DL, Castelijns JA. Infratentorial lesions predict long-term disability in patients with initial findings suggestive of multiple sclerosis. Arch Neurol 2004;61:217–21. [31] Calabrese M, De Stefano N, Atzori M, Bernardi V, Mattisi I, Barachino L, et al. Extensive cortical inflammation is associated with epilepsy in multiple sclerosis. J Neurol 2008;255:581–6. [32] Calabrese M, Filippi M, Rovaris M, Mattisi I, Bernardi V, Atzori M, et al. Morphology and evolution of cortical lesions in multiple sclerosis. A longitudinal MRI study. Neuroimage 2008;42:1324–8. [33] Calabrese M, Rocca MA, Atzori M, Mattisi I, Bernardi V, Favaretto A, et al. Cortical lesions in primary progressive multiple sclerosis: a 2-year longitudinal MR study. Neurology 2009;72:1330–6. [34] Simon B, Schmidt S, Lukas C, Gieseke J, Traber F, Knol DL, et al. Improved in vivo detection of cortical lesions in multiple sclerosis using double inversion recovery MR imaging at 3 Tesla. Eur Radiol 2010; 20(7):1675–83.
Neuroimaging of Multiple Sclerosis: An Update
101
[35] Wattjes MP, Lutterbey GG, Gieseke J, Traber F, Klotz L, Schmidt S, et al. Double inversion recovery brain imaging at 3T: diagnostic value in the detection of multiple sclerosis lesions. AJNR Am J Neuroradiol 2007;28:54–9. [36] Wattjes MP, Barkhof F. High field MRI in the diagnosis of multiple sclerosis: high field-high yield? Neuroradiology 2009;51:279–92. [37] Rovaris M, Filippi M, Minicucci L, Iannucci G, Santuccio G, Possa F, et al. Cortical/ subcortical disease burden and cognitive impairment in patients with multiple sclerosis. AJNR Am J Neuroradiol 2000;21:402–8. [38] Mills RJ, Young CA, Smith ET. 3D MRI in multiple sclerosis: a study of three sequences at 3 T. Br J Radiol 2007;80:307–20. [39] Bakshi R, Thompson AJ, Rocca MA, Pelletier D, Dousset V, Barkhof F, et al. MRI in multiple sclerosis: current status and future prospects. Lancet Neurol 2008;7:615–25. [40] Vellinga MM, Oude Engberink RD, Seewann A, Pouwels PJ, Wattjes MP, van der Pol SM, et al. Pluriformity of inflammation in multiple sclerosis shown by ultra-small iron oxide particle enhancement. Brain 2008;131:800–7. [41] Weinmann HJ, Ebert W, Misselwitz B, Schmitt-Willich H. Tissue-specific MR contrast agents. Eur J Radiol 2003;46:33–44. [42] Dousset V, Delalande C, Ballarino L, Quesson B, Seilhan D, Coussemacq M, et al. In vivo macrophage activity imaging in the central nervous system detected by magnetic resonance. Magn Reson Med 1999;41:329–33. [43] Dousset V, Ballarino L, Delalande C, Coussemacq M, Canioni P, Petry KG, et al. Comparison of ultrasmall particles of iron oxide (USPIO)-enhanced T2-weighted, conventional T2-weighted, and gadolinium-enhanced T1-weighted MR images in rats with experimental autoimmune encephalomyelitis. AJNR Am J Neuroradiol 1999;20:223–37. [44] Rausch M, Hiestand P, Baumann D, Cannet C, Rudin M. MRI-based monitoring of inflammation and tissue damage in acute and chronic relapsing EAE. Magn Reson Med 2003;50:309–14. [45] Floris S, Blezer EL, Schreibelt G, Dopp E, van der Pol SM, Schadee-Eestermans IL, et al. Blood–brain barrier permeability and monocyte infiltration in experimental allergic encephalomyelitis: a quantitative MRI study. Brain 2004;127:616–27. [46] Dousset V, Brochet B, Deloire MS, Lagoarde L, Barroso B, Caille JM, et al. MR imaging of relapsing multiple sclerosis patients using ultra-small-particle iron oxide and compared with gadolinium. AJNR Am J Neuroradiol 2006;27:1000–5. [47] Beckmann N, Cannet C, Babin AL, Ble FX, Zurbruegg S, Kneuer R, et al. In vivo visualization of macrophage infiltration and activity in inflammation using magnetic resonance imaging. Wiley Interdiscip Rev Nanomed Nanobiotechnol 2009;1:272–98. [48] Brochet B, Deloire MS, Touil T, Anne O, Caille JM, Dousset V, et al. Early macrophage MRI of inflammatory lesions predicts lesion severity and disease development in relapsing EAE. Neuroimage 2006;32:266–74. [49] Strijkers GJ, Mulder WJ, van Tilborg GA, Nicolay K. MRI contrast agents: current status and future perspectives. Anticancer Agents Med Chem 2007;7:291–305. [50] Stoll G, Bendszus M. Imaging of inflammation in the peripheral and central nervous system by magnetic resonance imaging. Neuroscience 2009;158:1151–60. [51] Pirko I, Johnson A, Ciric B, Gamez J, Macura SI, Pease LR, et al. In vivo magnetic resonance imaging of immune cells in the central nervous system with superparamagnetic antibodies. FASEB J 2004;18:179–82. [52] Chen JW, Querol Sans M, Bogdanov Jr A, Weissleder R. Imaging of myeloperoxidase in mice by using novel amplifiable paramagnetic substrates. Radiology 2006;240:473–81. [53] Ladewig G, Jestaedt L, Misselwitz B, Solymosi L, Toyka K, Bendszus M, et al. Spatial diversity of blood–brain barrier alteration and macrophage invasion in
102
[54] [55]
[56]
[57]
[58]
[59]
[60]
[61]
[62] [63] [64]
[65]
[66]
[67]
[68]
[69]
Neuroinflammation
experimental autoimmune encephalomyelitis: a comparative MRI study. Exp Neurol 2009;220:207–11. Sicotte NL, Voskuhl RR, Bouvier S, Klutch R, Cohen MS, Mazziotta JC. Comparison of multiple sclerosis lesions at 1.5 and 3.0 Tesla. Invest Radiol 2003;38:423–7. Wattjes MP, Lutterbey GG, Harzheim M, Gieseke J, Traber F, Klotz L, et al. Higher sensitivity in the detection of inflammatory brain lesions in patients with clinically isolated syndromes suggestive of multiple sclerosis using high field MRI: an intraindividual comparison of 1.5 T with 3.0 T. Eur Radiol 2006;16:2067–73. Nielsen K, Rostrup E, Frederiksen JL, Knudsen S, Mathiesen HK, Hanson LG, et al. Magnetic resonance imaging at 3.0 tesla detects more lesions in acute optic neuritis than at 1.5 tesla. Invest Radiol 2006;41:76–82. Bachmann R, Reilmann R, Schwindt W, Kugel H, Heindel W, Kramer S. FLAIR imaging for multiple sclerosis: a comparative MR study at 1.5 and 3.0 Tesla. Eur Radiol 2006;16:915–21. Di Perri C, Dwyer MG, Wack DS, Cox JL, Hashmi K, Saluste E, et al. Signal abnormalities on 1.5 and 3 Tesla brain MRI in multiple sclerosis patients and healthy controls. A morphological and spatial quantitative comparison study. Neuroimage 2009;47:1352–62. Wattjes MP, Harzheim M, Kuhl CK, Gieseke J, Schmidt S, Klotz L, et al. Does highfield MR imaging have an influence on the classification of patients with clinically isolated syndromes according to current diagnostic mr imaging criteria for multiple sclerosis? AJNR Am J Neuroradiol 2006;27:1794–8. Wattjes MP, Harzheim M, Lutterbey GG, Hojati F, Simon B, Schmidt S, et al. Does high field MRI allow an earlier diagnosis of multiple sclerosis? J Neurol 2008;255:1159–63. Stankiewicz JM, Neema M, Alsop DC, Healy BC, Arora A, Buckle GJ, et al. Spinal cord lesions and clinical status in multiple sclerosis: a 1.5 T and 3 T MRI study. J Neurol Sci 2009;279:99–105. Di Costanzo A, Trojsi F, Tosetti M, Schirmer T, Lechner SM, Popolizio T, et al. Proton MR spectroscopy of the brain at 3 T: an update. Eur Radiol 2007;17:1651–62. Jansen JF, Backes WH, Nicolay K, Kooi ME. 1H MR spectroscopy of the brain: absolute quantification of metabolites. Radiology 2006;240:318–32. Nijeholt GJ, Bergers E, Kamphorst W, Bot J, Nicolay K, Castelijns JA, et al. Postmortem high-resolution MRI of the spinal cord in multiple sclerosis: a correlative study with conventional MRI, histopathology and clinical phenotype. Brain 2001;124:154–66. Geurts JJ, Blezer EL, Vrenken H, van der Toorn A, Castelijns JA, Polman CH, et al. Does high-field MR imaging improve cortical lesion detection in multiple sclerosis? J Neurol 2008;255:183–91. Kangarlu A, Bourekas EC, Ray-Chaudhury A, Rammohan KW. Cerebral cortical lesions in multiple sclerosis detected by MR imaging at 8 Tesla. AJNR Am J Neuroradiol 2007;28:262–6. Mainero C, Benner T, Radding A, van der Kouwe A, Jensen R, Rosen BR, et al. In vivo imaging of cortical pathology in multiple sclerosis using ultra-high field MRI. Neurology 2009;73:941–8. Hammond KE, Metcalf M, Carvajal L, Okuda DT, Srinivasan R, Vigneron D, et al. Quantitative in vivo magnetic resonance imaging of multiple sclerosis at 7 Tesla with sensitivity to iron. Ann Neurol 2008;64:707–13. Zivadinov R, Schirda C, Dwyer MG, Haacke ME, Weinstock-Guttman B, Menegatti E, et al. Chronic cerebrospinal venous insufficiency and iron deposition on
Neuroimaging of Multiple Sclerosis: An Update
[70] [71]
[72]
[73]
[74]
[75] [76]
[77] [78]
[79] [80] [81] [82] [83]
[84] [85]
[86] [87]
103
susceptibility-weighted imaging in patients with multiple sclerosis: a pilot case–control study. Int Angiol 2010;29:158–75. Zivadinov R, Bakshi R. Role of MRI in multiple sclerosis II: brain and spinal cord atrophy. Front Biosci 2004;9:647–64. Dalton CM, Brex PA, Jenkins R, Fox NC, Miszkiel KA, Crum WR, et al. Progressive ventricular enlargement in patients with clinically isolated syndromes is associated with the early development of multiple sclerosis. J Neurol Neurosurg Psychiatry 2002;73:141–7. Dalton CM, Chard DT, Davies GR, Miszkiel KA, Altmann DR, Fernando K, et al. Early development of multiple sclerosis is associated with progressive grey matter atrophy in patients presenting with clinically isolated syndromes. Brain 2004;127:1101–7. Kutzelnigg A, Lucchinetti CF, Stadelmann C, Bruck W, Rauschka H, Bergmann M, et al. Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain 2005;128:2705–12. Zivadinov R, Reder AT, Filippi M, Minagar A, Stuve O, Lassmann H, et al. Mechanisms of action of disease-modifying agents and brain volume changes in multiple sclerosis. Neurology 2008;71:136–44. Bermel RA, Bakshi R. The measurement and clinical relevance of brain atrophy in multiple sclerosis. Lancet Neurol 2006;5:158–70. Carone DA, Benedict RH, Dwyer MG, Cookfair DL, Srinivasaraghavan B, Tjoa CW, et al. Semi-automatic brain region extraction (SABRE) reveals superior cortical and deep gray matter atrophy in MS. Neuroimage 2006;29:505–14. Cifelli A, Arridge M, Jezzard P, Esiri MM, Palace J, Matthews PM. Thalamic neurodegeneration in multiple sclerosis. Ann Neurol 2002;52:650–3. Horakova D, Cox JL, Havrdova E, Hussein S, Dolezal O, Cookfair D, et al. Evolution of different MRI measures in patients with active relapsing–remitting multiple sclerosis over 2 and 5 years: a case–control study. J Neurol Neurosurg Psychiatry 2008; 79:407–14. Chard DT, Griffin CM, Parker GJ, Kapoor R, Thompson AJ, Miller DH. Brain atrophy in clinically early relapsing–remitting multiple sclerosis. Brain 2002;125:327–37. Fisher E, Lee JC, Nakamura K, Rudick RA. Gray matter atrophy in multiple sclerosis: a longitudinal study. Ann Neurol 2008;64:255–65. Zivadinov R, Bakshi R. Central nervous system atrophy and clinical status in multiple sclerosis. J Neuroimaging 2004;14:27S–35S. Anderson VM, Fox NC, Miller DH. Magnetic resonance imaging measures of brain atrophy in multiple sclerosis. J Magn Reson Imaging 2006;23:605–18. Chen JT, Narayanan S, Collins DL, Smith SM, Matthews PM, Arnold DL. Relating neocortical pathology to disability progression in multiple sclerosis using MRI. Neuroimage 2004;23:1168–75. Houtchens MK, Benedict RH, Killiany R, Sharma J, Jaisani Z, Singh B, et al. Thalamic atrophy and cognition in multiple sclerosis. Neurology 2007;69:1213–23. Fisniku LK, Chard DT, Jackson JS, Anderson VM, Altmann DR, Miszkiel KA, et al. Gray matter atrophy is related to long-term disability in multiple sclerosis. Ann Neurol 2008;64:247–54. Evangelou N, DeLuca GC, Owens T, Esiri MM. Pathological study of spinal cord atrophy in multiple sclerosis suggests limited role of local lesions. Brain 2005;128:29–34. Pagani E, Rocca MA, Gallo A, Rovaris M, Martinelli V, Comi G, et al. Regional brain atrophy evolves differently in patients with multiple sclerosis according to clinical phenotype. AJNR Am J Neuroradiol 2005;26:341–6.
104
Neuroinflammation
[88] Wolff SD, Balaban RS. Magnetization transfer imaging: practical aspects and clinical applications. Radiology 1994;192:593–9. [89] van Waesberghe JH, Kamphorst W, De Groot CJ, van Walderveen MA, Castelijns JA, Ravid R, et al. Axonal loss in multiple sclerosis lesions: magnetic resonance imaging insights into substrates of disability. Ann Neurol 1999;46:747–54. [90] Schmierer K, Scaravilli F, Altmann DR, Barker GJ, Miller DH. Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain. Ann Neurol 2004;56:407–15. [91] Rovira A, Alonso J, Cucurella G, Nos C, Tintore M, Pedraza S, et al. Evolution of multiple sclerosis lesions on serial contrast-enhanced T1-weighted and magnetizationtransfer MR images. AJNR Am J Neuroradiol 1999;20:1939–45. [92] Deloire-Grassin MS, Brochet B, Quesson B, Delalande C, Dousset V, Canioni P, et al. In vivo evaluation of remyelination in rat brain by magnetization transfer imaging. J Neurol Sci 2000;178:10–16. [93] Rademacher J, Engelbrecht V, Burgel U, Freund H, Zilles K. Measuring in vivo myelination of human white matter fiber tracts with magnetization transfer MR. Neuroimage 1999;9:393–406. [94] Chen JT, Collins DL, Freedman MS, Atkins HL, Arnold DL. Local magnetization transfer ratio signal inhomogeneity is related to subsequent change in MTR in lesions and normal-appearing white-matter of multiple sclerosis patients. Neuroimage 2005;25:1272–8. [95] Chen JT, Collins DL, Atkins HL, Freedman MS, Arnold DL. Magnetization transfer ratio evolution with demyelination and remyelination in multiple sclerosis lesions. Ann Neurol 2008;63:254–62. [96] Chen JT, Kuhlmann T, Jansen GH, Collins DL, Atkins HL, Freedman MS, et al. Voxel-based analysis of the evolution of magnetization transfer ratio to quantify remyelination and demyelination with histopathological validation in a multiple sclerosis lesion. Neuroimage 2007;36:1152–8. [97] Dwyer M, Bergsland N, Hussein S, Durfee J, Wack D, Zivadinov R. A sensitive, noise-resistant method for identifying focal demyelination and remyelination in patients with multiple sclerosis via voxel-wise changes in magnetization transfer ratio. J Neurol Sci 2009;282:86–95. [98] Filippi M, Rocca MA. Magnetization transfer magnetic resonance imaging of the brain, spinal cord, and optic nerve. Neurotherapeutics 2007;4:401–13. [99] De Stefano N, Filippi M. MR spectroscopy in multiple sclerosis. J Neuroimaging 2007;17(Suppl. 1):31S–5S. [100] Ge Y. Multiple sclerosis: the role of MR imaging. AJNR Am J Neuroradiol 2006;27:1165–76. [101] De Stefano N, Filippi M, Miller D, Pouwels PJ, Rovira A, Gass A, et al. Guidelines for using proton MR spectroscopy in multicenter clinical MS studies. Neurology 2007;69:1942–52. [102] Goldberg-Zimring D, Mewes AU, Maddah M, Warfield SK. Diffusion tensor magnetic resonance imaging in multiple sclerosis. J Neuroimaging 2005;15:68S–81S. [103] Pagani E, Bammer R, Horsfield MA, Rovaris M, Gass A, Ciccarelli O, et al. Diffusion MR imaging in multiple sclerosis: technical aspects and challenges. AJNR Am J Neuroradiol 2007;28:411–20. [104] Rovaris M, Gass A, Bammer R, Hickman SJ, Ciccarelli O, Miller DH, et al. Diffusion MRI in multiple sclerosis. Neurology 2005;65:1526–32. [105] Rovaris M, Filippi M. Diffusion tensor MRI in multiple sclerosis. J Neuroimaging 2007;17(Suppl. 1):27S–30S.
Neuroimaging of Multiple Sclerosis: An Update
105
[106] Rocca MA, Filippi M. Functional MRI in multiple sclerosis. J Neuroimaging 2007;17(Suppl. 1):36S–41S. [107] Pantano P, Mainero C, Caramia F. Functional brain reorganization in multiple sclerosis: evidence from fMRI studies. J Neuroimaging 2006;16:104–14. [108] Haacke EM, Cheng NY, House MJ, Liu Q, Neelavalli J, Ogg RJ, et al. Imaging iron stores in the brain using magnetic resonance imaging. Magn Reson Imaging 2005;23:1–25. [109] LeVine SM. Iron deposits in multiple sclerosis and Alzheimer’s disease brains. Brain Res 1997;760:298–303. [110] Haacke EM, Makki M, Ge Y, Maheshwari M, Sehgal V, Hu J, et al. Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging. J Magn Reson Imaging 2009;29:537–44. [111] Stankiewicz J, Panter SS, Neema M, Arora A, Batt CE, Bakshi R. Iron in chronic brain disorders: imaging and neurotherapeutic implications. Neurotherapeutics 2007;4:371–86. [112] Singh AV, Zamboni P. Anomalous venous blood flow and iron deposition in multiple sclerosis. J Cereb Blood Flow Metab 2009;29:1867–78. [113] Kalman B, Laitinen K, Komoly S. The involvement of mitochondria in the pathogenesis of multiple sclerosis. J Neuroimmunol 2007;188:1–12. [114] Zamboni P. The big idea: iron-dependent inflammation in venous disease and proposed parallels in multiple sclerosis. J R Soc Med 2006;99:589–93. [115] Bakshi R, Benedict RH, Bermel RA, Caruthers SD, Puli SR, Tjoa CW, et al. T2 hypointensity in the deep gray matter of patients with multiple sclerosis: a quantitative magnetic resonance imaging study. Arch Neurol 2002;59:62–8. [116] Bakshi R, Dmochowski J, Shaikh ZA, Jacobs L. Gray matter T2 hypointensity is related to plaques and atrophy in the brains of multiple sclerosis patients. J Neurol Sci 2001;185:19–26. [117] Ceccarelli A, Filippi M, Neema M, Arora A, Valsasina P, Rocca MA, et al. T2 hypointensity in the deep gray matter of patients with benign multiple sclerosis. Mult Scler 2009;15:678–86. [118] Neema M, Goldberg-Zimring D, Guss ZD, Healy BC, Guttmann CR, Houtchens MK, et al. 3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis. Neuroimage 2009;46:633–41. [119] Khalil M, Enzinger C, Langkammer C, Tscherner M, Wallner-Blazek M, Jehna M, et al. Quantitative assessment of brain iron by R(2)* relaxometry in patients with clinically isolated syndrome and relapsing–remitting multiple sclerosis. Mult Scler 2009;15:1048–54. [120] Ge Y, Jensen JH, Lu H, Helpern JA, Miles L, Inglese M, et al. Quantitative assessment of iron accumulation in the deep gray matter of multiple sclerosis by magnetic field correlation imaging. AJNR Am J Neuroradiol 2007;28:1639–44. [121] Haacke EM, Xu Y, Cheng YC, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn Reson Med 2004;52:612–8. [122] Haacke EM, Mittal S, Wu Z, Neelavalli J, Cheng YC. Susceptibility-weighted imaging: technical aspects and clinical applications. AJNR Am J Neuroradiol 2009;30:19–30.
6 Role of IL-12/IL-23 in the
Pathogenesis of Multiple Sclerosis Yuhong Yang1,2, Amy E. Lovett-Racke1,2, Michael K. Racke1,2,3 1
Department of Neurology, Ohio State University Medical Center, Columbus, OH, USA 2 Department of Molecular Virology, Immunology and Medical Genetics, Ohio State University Medical Center, Columbus, OH, USA 3 Department of Neuroscience, Ohio State University Medical Center, Columbus, OH, USA
Introduction Multiple sclerosis (MS) is a T-cell-mediated autoimmune disease of the central nervous system (CNS) with a complex genetic background. Although the precise etiology of MS is still unknown, it is generally accepted that MS begins with the formation of acute inflammatory lesions that were mediated by autoreactive T cells and B cells because of the breakdown of the blood–brain barrier (BBB). The demyelinating plaques were dominated by activated T cells and macrophages associated with oligodendrocyte destruction [1]. Early studies suggested that the IFN-γ-producing Th-1 CD4 T cells, which were driven by IL-12, played an essential role in mediating disease, whereas recent data have indicated that a new CD4 T-cell lineage, Th-17 cells, driven by IL-23, were critical to the development of disease. Experimental auto immune encephalomyelitis (EAE) is an autoimmune disease characterized by relapsing paralysis and CNS inflammation and demyelination [2]. EAE has been used as a model for MS for several decades, since it has clinical and immunopathologic similarities to MS. EAE can be induced either by immunization with myelin proteins emulsified in complete Freund’s adjuvant (CFA) or by adoptive transfer of myelin-specific CD4 Th-1 cells, but not Th-2 cells, into naïve wild-type recipient mice [3–10].
IL-12 p40 Family IL-12 and IL-23 are two heterodimeric cytokines belonging to the p40 family, which plays an important role in regulating T-cell responses [11–13]. They both are hetero dimers of two subunits. IL-12 is a heterodimer of p35 and p40, whereas IL-23 is a heterodimer of p19 and p40. They share a common subunit, p40. Both IL-12 and Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00006-X © 2011 Elsevier Inc. All rights reserved.
108
Neuroinflammation IL-12
IL-23
p35
p40
p19
p40
IL-12Rβ2
IL-12Rβ1
IL-23R
IL-12Rβ1
Figure 6.1 Structural diagram of IL-12 p40 family. Both IL-12 and IL-23 belong to IL-12 p40 family. They share a common subunit, p40. IL-12 is a heterodimer of p35 and p40, whereas IL-23 is a heterodimer of p19 and p40. IL-12 receptor consists of IL-12 receptor β1 chain and IL-12 receptor β2 chain, while IL-23 receptor consists of IL-12 receptor β1 chain and a second chain called IL-23 receptor.
IL-23 were mainly produced by antigen-presenting cells (APCs), including macrophages, dendritic cells, and B cells, and exerted their biologic functions on CD4 T cells. IL-12 receptor and IL-23 receptor are heterodimeric receptors. They share a common receptor subunit, the IL-12 receptor β1 chain. IL-12 receptor consists of the IL-12 receptor β1 chain and IL-12 receptor β2 chain, while the IL-23 receptor consists of the IL-12 receptor β1 chain and a second chain called the IL-23 receptor (Figure 6.1). IL-12 drives naïve CD4 T cells to differentiate into the IFN-γproducing Th-1 lineage, while IL-23 promotes the IL-17-producing Th-17 lineage. Both IL-12-driven Th-1 cells and IL-23-driven Th-17 cells are believed to contribute significantly to the pathogenesis of MS and EAE [14,15].
T-Helper-Cell Lineages and Immune Deviation CD4 helper T lymphocytes differentiate into different types of T-effector cells in the periphery in response to different pathogenic microorganisms as a result of recognition of these organisms by the innate immune system [16]. It has been suggested for more than two decades that there are two different types of CD4 T-helper (Th) cells, Th-1 and Th-2 cells [17]. The Th-1 cell subset mainly produces IFN-γ, IL-2, and GM-CSF, while the Th-2 cell subset produces IL-4, IL-5, and IL-13 [18–21]. Th-1 cells were generated to control infections by intracellular pathogens, including viruses and bacteria, and cytokines produced by Th-1 cells mediated delayedtype hypersensitivity (DTH) inflammatory responses and have been implicated in a variety of autoimmune diseases, including MS [22–24]. Conversely, Th-2 cells control infections by extracellular microbes, and cytokines produced by Th-2 cells mediate helper T-cell functions for antibody production and mediate the immunopathology of allergic responses. Correspondingly, autoimmune diseases can be divided into those mediated by Th-l cells, with primarily inflammatory manifestations, and those mediated by Th-2 cells, whose manifestations are secondary to autoantibody containing immune complexes [25]. Immune deviation was a term used to characterize an immune response where Th-2 cells predominate, and one approach
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
Th-1
,
12
ILNaïve CD4 T cells
γ
IFN
IL-12Rβ1,2
109
IFN-γ IL-12
IFN-γ IL-2 GCSF
STAT1 STAT4 T-bet
Th-17 TGFβ,IL-6,IL-1β
IL-23R IL-12Rβ1
IL-23 STAT3 RORγ τ RORα Batf T-bet
IL-17A,B,F IL-21 IL-22 IL-21
-4
IL Th-2 STAT6 GATA3
IL-4 IL-5 IL-13
Figure 6.2 CD4 T-helper-cell lineages. Three different CD4 T-helper-cell lineages, Th-1, Th-2, and Th-17 cells, have been identified so far. Naïve CD4 T cells are differentiated into Th-1 lineage, when the environment is rich in IFN-γ and/or IL-12. The Th-1 subset mainly produces IFN-γ, IL-2, and GM-CSF. The Th-1 transcription factors include T-bet, STAT1, and STAT4. The Th-17 subset mainly produces IL-17, IL-22, and IL-21. IL-6, TGF-β, and IL-1β are cytokines involved in Th-17 differentiation, and ROR γt, RORα, Batf, and STAT3 are transcription factors within Th-17 pathway. IL-23 promotes and maintains Th-17 differentiation. Th-2 differentiation is induced by IL-4, and Th-2 cells mainly produce IL-4, IL-5, and IL-13. GATA3 is the transcription factor for Th-2 cells.
to the immunotherapy of inflammatory autoimmune disease, including MS, was the antigen-specific deviation of an immune response dominated by a Th-1 response to a Th-2 response [26]. More recently, Th-17 cells have been identified as a new CD4 T-cell lineage. In vivo, Th-17 cells were driven by IL-23, although in vitro they were induced by TGF-β and IL-6. Th-17 cells also have been shown to be critical in the development of autoimmune diseases (Figure 6.2).
IL-12 and Th-1 Differentiation Pathways Cytokines play a critical role in the differentiation of Th cells, and Th-1 differentiation involves the actions of IFN-γ and IL-12 [27,28]. A series of cellular events mediated by different transcription factors control the development of Th cells (Figure 6.3). T-bet is the master transcription factor for Th-1 cell differentiation, in concert with other transcription factors, including STAT1 and STAT4, which decide
110
Encephalitogenic pathway
Neuroinflammation
Th-1
IL-12
IFNγ
IFNγR
IL-12Rβ1
STAT1
STAT1
P
P
IL-12Rβ2
STAT4
STAT4
P
P
T-bet STAT1
P
IL-12Rβ2 gene
T-bet
STAT1
P
STAT4
P
IFNγ gene
Figure 6.3 Molecular pathway of Th-1 differentiation. IFN-γ binds to the constitutively expressed IFN-γ receptor on the surface of naïve CD4 T cells, resulting in the phosphorylation and translocation of STAT1 (pSTAT1). pSTAT1 contributes to T-bet transcription, which promotes STAT1 transcription. pSTAT1 and possibly T-bet activate the transcription of IL-12Rβ2. IL-12 binds to the IL-12R, resulting in STAT4 phosphorylation and translocation. pSTAT1, pSTAT4, and T-bet all bind to the IFN-γ promoter and initiate IFN-γ production and contribute to the full differentiation of a Th-1 cell.
the phenotypic fate of Th-1 cells. IL-12 was first identified and purified in 1989 as a soluble 70-kDa anionic glycoprotein, with two subunits at 40 and 35 kDa (which were referred as p40 and p35, respectively). IL-12 was shown to stimulate natural killer (NK) cells to produce INF-γ [29]. It is mainly produced by APCs and exerts immunoregulatory effects on T and NK cells. Th-1 cells develop when the cytokine milieu is rich in IFN-γ and IL-12 [28,30–35]. Macrophages and dendritic cells produce IL-12 to polarize naïve T cells to Th-1 cells, in response to some bacterial and parasitic infections [32,33,36–38]. IL-12 promotes Th-1 differentiation by activating the STAT4 signaling pathways [39], and IL-12- or STAT4-deficient mice do not produce Th-1 cells [40–42]. IFN-γ signals through the STAT1 pathway, and STAT1deficient mice display a complete lack of responsiveness to IFN-γ and are highly sensitive to infection by microbial pathogens and viruses [35]. T-bet, which stands for T-box expressed in T cells, a novel member of the T-box family of transcription factors was isolated using an IL-2 promoter-reporter and a
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
111
cDNA library prepared from activated Th-1 cells in a yeast one-hybrid screen [43]. T-bet was defined by the presence of a highly conserved T-box DNA-binding domain [44–46]. T-bet was shown to be expressed in IFN-γ-producing Th-1 and NK cells. Ectopic expression of T-bet transactivates the IFN-γ gene and induces endogenous IFN-γ production. Retroviral gene transduction of T-bet into polarized Th-2 T cells redirects them into Th-1 cells, as evidenced by the simultaneous induction of IFN-γ and repression of IL-4 and IL-5 [47]. Although T-bet is expressed in all three type of IFN-γ-producing cells (CD4, CD8, and NK cells), it is only required for control of IFN-γ production in CD4 and NK cells, but not in CD8 cells, which makes it a very attractive target for MS therapy [7,8,48]. T-bet induces Th-1 differentiation by targeting chromatin remodeling to individual IFN-γ alleles and by inducing IL-12 receptor β2 expression, without apparent assistance from IL-12/STAT4. IL-12/STAT4 appears to serve as a growth signal and trans-activator to prolong IFN-γ production, suggesting that lineage-determining cytokines may also mediate the selective survival of a lineage [49,50]. T-bet is induced by IFN-γ and STAT1 signaling during T-cell activation. T-bet expression is strongly dependent on IFN-γ signaling and STAT1 activation but is independent of STAT4. However, IL-12- and IL-18-induced IFN-γ production remained STAT4dependent, despite ectopic T-bet expression. Ectopic T-bet expression selectively induced expression of IL-12Rβ2 [51]. When the environment is rich in IFN-γ, IFN-γ binds to the constitutively expressed IFN-γ receptor on the surface of naïve CD4 T cells, which leads to the activation of STAT1. Downstream of STAT1, the expression of T-bet is induced [51,52], and T-bet acts to induce remodeling of the repressed IFN-γ locus and induce expression of IL-12Rβ2, the inducible chain of IL-12 receptor. T-bet also promotes the transcription of STAT1, and thus a positive feedback loop exists between these two transcription factors that initially drive a CD4 T cell toward a Th-1 phenotype. IL-12 in the microenvironment binds to the IL-12R, resulting in STAT4 phosphorylation [53,54]. Another cytokine that influences Th-1 development is IL-18, whose receptor is related to the IL-1 receptor family [55,56]. IFN-γ production was markedly reduced in IL-18-deficient mice, despite normal IL-12 induction [57].
IL-12 and T-Cell Encephalitogenicity The observation that myelin-specific CD4 Th-1 cells were sufficient to induce EAE focused MS research on these IFN-γ-producing Th-1 cells and IL-12, the cytokine that potently induces IFN-γ production and promotes Th-1 differentiation. IL-12 showed strong effects in enhancing T-cell encephalitogenicity, accelerating disease onset and increasing disease severity [58]. In adoptively transferred EAE, the disease course was more severe and prolonged when recombinant IL-12 was added to lymphocytes from immunized mice during in vitro restimulation. Similarly, mice treated with recombinant IL-12 (rIL-12) in vivo developed a more severe and prolonged course of disease after adoptive transfer. In contrast, mice treated with neutralizing
112
Neuroinflammation
IL-12 antibody after adoptive transfer were partially protected from disease, with only 40% of mice developing mild disease, and these mice were completely free of paralysis [59]. Even in the normally EAE-resistant mouse strain, B10.S, IL-12 was able to restore the IFN-γ production in myelin basic protein (MBP)-reactive T cells, with the subsequent induction of their ability to transfer EAE to naïve recipients [60]. Similar to what has been observed in the adoptive transfer EAE model, in the active immunization EAE model, IL-12 administration mimics staphylococcal enterotoxins (SEs) in inducing spontaneous relapses and in enhancing the severity and frequency of spontaneous relapses, whereas IL-12 neutralizing antibody blocks SE-induced and subsequent relapses of EAE and prevents spontaneous relapses [61].
Myelin-Specific Th-1 Cells in MS Although myelin-specific T cells were found in both MS patients and healthy individuals, which raised questions as to the relevance of these cells in MS patients, it does appear that myelin-specific T cells from MS patients are more likely to have a Th-1 phenotype [62–65]. Subsequently, several studies demonstrated that although healthy individuals had myelin-specific T cells, these cells were naïve, whereas MS patients had activated and memory myelin-specific T cells, indicating that these cells had been previously activated in vivo [66–68]. In addition, a clinical trial with an altered peptide ligand from MBP, which was intended to downregulate myelin-specific T cells, actually exacerbated disease in several MS patients. The increase in MS disease activity was associated with increased frequency of MBP-specific T cells that produced IFN-γ, suggesting that MS is mediated by myelin-specific Th-1 cells [69].
IFN-γ in MS/EAE Some studies focused on IFN-γ as the pathogenic molecule in EAE and MS, since IFN-γ is the hallmark of Th-1 immune responses. IFN-γ played an important role in MS pathogenesis, as increased production of IFN-γ preceding clinical attacks had been observed [70,71]. Furthermore, the inflammatory process within the CNS was characterized by increased IFN-γ expression, and disease activity correlated with IL-12 production [72–75]. Treatment of MS patients with IFN-γ led to an exacerbation of the disease [76,77], suggesting a pathogenic role for IFN-γ in MS. Surprisingly, the data from mouse studies contradicted what has been observed in human studies [78,79]. Instead of ameliorating disease, anti-IFN-γ antibodies enhanced EAE in SJL/J mice, with increased morbidity and mortality and earlier onset of disease. Systemic administration of IFN-γ did not improve or worsen clinical outcome, but delayed disease onset. Adoptive transfer of MBP-specific lymph node cells (LNC) pretreated with anti-IFN-γ antibody resulted in more severe disease [78,80,81]. Genetically deficient mice were used to determine if IFN-γ is necessary for the induction of EAE. Ferber et al. crossed IFN-γ-deficient mice (H-2b) to an EAEsusceptible mouse strain, B1O.PL (H-2u). EAE was induced in IFN-γ-deficient mice
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
113
and wild-type littermates. Most of the mice developed EAE with comparable kinetics and severity regardless of their IFN-γ genotype. Histologic analyses of the CNS of IFN-γ-deficient mice revealed massive infiltrates composed of lymphocytes, macrophages, and granulocytes [82]. Similarly, IFN-γ R-deficient mice were found to be highly susceptible to EAE [80–83]. The conclusion drawn from these mouse studies was that IFN-γ was not necessary for EAE and, by extension, MS. However, recent studies revealed that aside from its classic role in Th-1 responses, IFN-γ has a role in regulating many aspects of T-cell biology, by cross-regulation of cellular responses to other cytokines and inflammatory factors [84]. IFN-γ signaling might be a very important part of the T-regulatory system in mice, which controls pathogenic T-effector functions. This finding is consistent with what has been observed in IFN-γ-deficient mice in that the activated CD4CD44 high cells showed significantly increased in vivo proliferation and significantly decreased ex vivo apoptosis [85]. Moreover, several studies that specifically suppressed IFN-γ in the myelin-specific T cells before transfer into recipient mice demonstrated that altering the signaling pathway that results in IFN-γ production in CD4 T cells decreases the encephalitogenic capacity of these cells [7,26,86]. In addition, STAT4 and T-bet, transcription factors in the Th-1 cell differentiation pathway, have been shown to be critical for EAE induction [7,87–89].
Genetically Deficient Mice of the p40 Family To determine the contribution of IL-12 in the pathogenesis of EAE, mice lacking IL-12 were generated. Surprisingly, IL-12 p40 mice were resistant to EAE, but IL-12 p35 mice were fully susceptible to EAE [90,91]. This confusion led to the intense study of IL-23 and its potential role in MS and EAE. Mice lacking IL-12 and/or IL-23 were compared to determine the contributions of IL-12 and IL-23 in EAE. Only IL-23 p19 (lacking IL-23) [92] and IL-12 p40 mice (lacking both IL-23 and IL-12) were resistant to EAE. By contrast, p35 mice that lacked only IL-12 were highly susceptible to EAE [90,91]. IL-12 signals through a heterodimeric receptor (IL-12R β1/IL-12R β2), whose β2-chain is upregulated on activated, autoreactive Th-1 cells. Contrary to the expectation that the absence of IL-12R β2 would protect mice from EAE, it was found that mice deficient in IL-12R β2 developed earlier and more severe disease, with extensive demyelination and CNS inflammation. Compared to wild-type mice, mice deficient in IL-12R β2 exhibited significantly increased autoantigen-induced proliferative response and increased production of TNF-α, GM-CSF, IL-17, IL-18/ IL-18Rα, and NO. Significantly increased levels of IL-23p19 mRNA expression in spleen cells from immunized IL-12R β2-deficient mice was observed compared to wild-type mice, suggesting that increased IL-23 and other inflammatory molecules may be responsible for the increased severity of EAE [93]. However, IL-12R β1, a common subunit shared by both IL-12 receptor and IL-23 receptor, was shown to be required in the induction of EAE. IL-12R β1-deficient mice are completely resistant to myelin oligodendrocyte glycoprotein (MOG)-induced EAE, with an autoantigen-specific Th-2 response. IL-12R
114
Neuroinflammation
β1-deficient APCs drive CD4 T cells to an Ag-induced Th-2 phenotype, whereas wild-type APCs drive these CD4 T cells toward a Th-1 type response. IL-12R β1-deficient CD4 T cells, in turn, appear to exert an immunoregulatory effect on the capacity of wild-type APCs to produce IFN-γ and TNF-α. Decreased levels of IL-12 p40, p35, and IL-23 p19 mRNA expression were found in IL-12R β1-deficient APCs [94]. The conclusion drawn from these data was that IL-23, and not IL-12, was the critical cytokine for autoimmune inflammation of the brain, and this focused additional studies on IL-23. This also led to the discovery of a new CD4 T-cell lineage, Th-17 cells. However, we still need to take IL-35, a new cytokine member in the IL-12 family, into consideration when we evaluate the EAE data from genetically deficient mice of the IL-12 family [95]. IL-35 is a heterodimer of Epstein–Barr virus-induced gene 3 (EBI3) and IL-12 p40 [96,97]. EBI3 was first identified on the plasma membrane of EBV-transformed B lymphocytes and on transfected cells [98]. Different from IL-12 and IL-23, which were predominantly expressed by APCs and promoting T-cell differentiation and proliferation, IL-35 was highly expressed by mouse Foxp3 Treg cells but not by resting or activated effector CD4 T cells, and was required for maximal Treg suppressive activity [97]. While the fact that p19- and/or p40-deficient mice were resistant to EAE suggested that Th-17 cells were fully pathogenic, it did not exclude a role of IL-12driven Th-1 cells in EAE, since it is clear that p35-deficient mice lack both IL-12 and IL-35, which means that p35-deficient mice have not only an impaired Th-1 differentiation pathway, but also impaired Treg function. As a result, IL-23-driven Th-17 cells could be fully pathogenic alone, when the suppressive effects of IL-35 on T-cell proliferation were eliminated in those mice. However, encephalitogenic T cells from immunized wild-type mice caused indistinguishable disease when adoptively transferred to wild-type, p19-deficient, or p19/p35 double-deficient recipient mice, demonstrating that EAE can develop in the complete absence of IL-23 once encephalitogenic cells have been generated. Furthermore, MOGspecific T cells from p19-deficient mice could induce EAE in wild-type recipient mice by adoptive transfer, although the disease onset was delayed and disease severity was much lower [99]. Further studies are needed to determine the relative contribution of IL-12 and IL-23 in EAE, and it will be helpful to identify the contribution of IL-35 by comparing disease in p40-deficient mice, which have intact IL-35 but lack both IL-12 and IL-23, with p19/p35-deficient mice, which lack all three cytokines.
The Discovery of IL-23 IL-23 was discovered in 2000. A novel sequence distantly related to the p35 subunit of IL-12 was identified in a computational screen and was termed as p19. It had no biologic activity by itself; however, it was biologically active when combined with the p40 subunit of IL-12. This novel composite factor of p19 and p 40 was termed IL-23. Natural p19p40 was expressed by activated dendritic cells and was shown to
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
115
activate STAT4 in PHA blast T cells [100]. IL-23 binds to IL-12R β1 chain but not IL-12R β2 chain. IL-23R, a novel member of the hemopoietin receptor family, was identified as another subunit of the receptor for IL-23 2 years later. IL-23R pairs with IL-12R β1 chain to confer IL-23 responsiveness on cells expressing both subunits [101]. The fact that the IL-12 R β1 chain is constitutively expressed by CD4 T cells suggests that the IL-23R is an important factor controlling the T-cell response to IL-23. However, most of IL-23R published data are at the message level, since there is not a good flow cytometry antibody for mouse IL-23R. Flow cytometry data from GFP-IL-23R mice showed IL-23R expression on a very small population of CD4 TCR αβ cells [102], which raised the question of how IL-23 exerted its strong effects on driving a highly pathogenic CD4 population, if it was expressed on such a small portion of CD4 T cells. Further studies of this unique IL-23R at the protein level will greatly enhance our understanding of IL-23 function in T cells.
Critical Role of IL-23 in EAE The study of the biologic functions of IL-23 revealed its unique role in autoimmune inflammation and led to the identification of a new CD4 Th-cell lineage, designated Th-17 cells, which are distinct from the previously reported Th-1 and Th-2 populations by producing IL-17. IL-17 was known to be critical for host defense against extracellular bacteria and fungi but was also implicated in the pathogenesis of autoimmune diseases. Though originally it exhibited some activities similar to IL-12 in increasing the production of IFN-γ by CD4 cells [101], IL-23 was distinct from IL-12 in its ability to induce strong proliferation of mouse memory T-cell populations, whereas IL-12 had no effect on memory cells. Murine IL-23 was first shown to stimulate memory cells to secrete IL-17 soon after the discovery of IL-23 in 2003 [103]. Later, IL-23 was found to be essential for the expansion of a pathogenic CD4 T-cell population, Th-17 subset, which is characterized by the production of IL-17A, IL-17F, IL-6, and TNF. These IL-23-driven autoreactive Th-17 cells identified a unique expression pattern of proinflammatory cytokines and other novel factors, distinguishing them from IL-12-driven Th-1 cells. They are highly pathogenic and essential for the establishment of the organspecific inflammation associated with CNS autoimmunity [104]. Studies from p19 transgenic mice showed that the expression of p19 in multiple tissues induced a striking phenotype characterized by runting, systemic inflammation, infertility, and death before 3 months of age. Bone marrow transfer experiments further pointed to hemopoietic cells as the source of biologically active p19 [105]. At almost the same time, mice lacking IL-23 were used to determine the contributions of IL-23 in EAE. IL-23 p19-deficient mice (lacking IL-23) [92] and IL-12 p40-deficient mice (lacking both IL-23 and IL-12) were resistant to EAE. By contrast, p35-deficient mice that lacked IL-12 and IL-35 were highly susceptible to EAE [90,91]. Likewise, mice treated with antibodies to IL-23 failed to develop EAE [106]. These data suggested that IL-23 was a critical cytokine for autoimmune inflammation of the brain, although the detailed molecular mechanisms for this effect are still unknown.
116
Neuroinflammation
IL-23 Expression in CNS Both p19 and p40 subunits of IL-23 have been detected in CNS-resident cells. The p40 subunit was shown to be produced by macrophages/microglia in MS plaques more than 10 years ago, suggesting the existence of IL-23 and/or IL-12 in plaques [75]. The mRNA of p19 was detected in resident microglia and infiltrating macrophages [92]. The expression of IL-23p19 mRNA was highly induced in adult mouse microglia by stimulation with IFN-γ and lipopolysaccharide (LPS). In EAE, there was an early peak of IL-23p19 mRNA expression found in CD11b CNS APCs [107]. Since the CNS-resident microglia and macrophages are one of the main sources of inflammatory cytokines within the CNS during EAE, Becher et al. generated mice in which p40 was deleted from the CNS parenchyma, but not the systemic immune compartment, to determine the functional role of macrophage/microglia-derived p40. The p40deficient mice had decreased EAE severity upon adoptive transfer, indicating that IL-23 produced by CNS-resident cells controlled T-cell encephalitogenicity during the effector phase of EAE. However, the absence of p40 from the CNS has little impact on the degree of inflammation, since histologic analysis revealed significant inflammation in the spinal cords of p40-deficient mice that was comparable to that of wild-type mice with significantly more severe EAE, suggesting that p40 subunit expression in CNS is not required for the infiltration of inflammatory cells into the CNS, although it altered the degree of encephalitogenicity of those cells. Expression profiles of the CNS lesions showed an increase in Th-2 cytokines when compared with mice that develop EAE in the presence of CNS IL-12 and/or IL-23 [108]. Similar to findings in mice, increased IL-23 levels has been observed in MS patients. A significant increase in mRNA expression and protein production of both subunits of IL-23 was found in lesions compared with nonlesioned tissue. Activated macrophages and microglia were shown to be an important source of IL-23p19 in active and chronic active MS lesions. Elevated IL-23p19 expression was also detected in dendritic cells in MS patients [109,110], preferentially located in the perivascular cuff of active lesions [110]. This upregulation of IL-23 p19 expression in human microglia was suggested to be regulated by p38 MAP kinase and NF-kappaB signaling pathways [111]. Consistent with this abnormality, increased IL-17 production was found by T cells from MS patients [109], and IL-17 mRNA was found to be 18-fold higher in MS plaques than brains of control patients without CNS pathology by microarray analysis [112]. IL-17-producing lymphocytes were also detected in the cerebrospinal fluid of MS patients [113].
Th-17 Differentiation Pathways Many investigators have focused their research on this new CD4 lineage, Th-17 cells, since it was the first revision of the Th-1/Th-2 hypothesis since 1986. A number of studies have been published in the past several years regarding the factors controlling Th-17 differentiation (Figure 6.4). IL-23 was not the primary differentiation
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis Nonencephalitogenic Th-17 pathway TGFβ
IL-6
IL-6R
Smad2
Smad2
Encephalitogenic Th-17 pathway
IL-6
TGFβR
P
STAT3
STAT3
P
RORγt
P
IL-17 gene
P
P
STAT3
RORα
P
T-bet
T-bet Batf
IL-6R
STAT3
Batf
RORγt
117
STAT3
P
STAT3
P
IL-17 gene
Figure 6.4 Molecular pathway of Th-17 differentiation. Nonencephalitogenic Th-17 pathway: TGF-β and IL-6 induce IL-17 production from naïve CD4 T cells. IL-6 binds to the IL-6 receptor and activates the phosphorylation and translocation of STAT3. pSTAT3, ROR γt, RORα, and Batf bind to the IL-17 promoter to initiate IL-17 transcription. TGF-β signals through Smad proteins to suppress T-bet expression and block IFN-γ production. The Th-17 phenotype depends on constant exposure to TGF-β, and Th-17 cells differentiated by TGF-β and IL-6 are not encephalitogenic. Encephalitogenic Th-17 pathway: IL-6 signals through the STAT3 pathway to induce IL-17 production in the presence of antibodies to IFN-γ, IL-4, and IL-12. Th-17 cells differentiated through this pathway are encephalitogenic, and T-bet is required for their encephalitogenicity.
factor for the generation of Th-17 cells from naïve T cells in vitro, although previous data showed that highly pathogenic Th-17 populations generated in vivo were IL-23-driven. TGF-β and IL-6 were shown to induce the differentiation of mouse Th-17 cells in vitro from naïve T cells, in combination with T-cell antigen receptor (TCR) stimulation [114,115], although TGF-β was originally thought to be an antiinflammatory cytokine by inducing in vitro differentiation of Foxp3 T-regulatory cells (Tregs) [116,117]. However, TGF-β appeared to be a key cytokine for both Th-17 and Treg differentiation. It promotes Th-17 differentiation at low concentrations with IL-6 and IL-21, whereas at high concentrations it represses IL-23R expression and favors Foxp3 Treg cells [118]. Other than IL-23, IL-1β appeared to be crucial for in vivo differentiated antigenspecific Th-17 cells, since the induction of Th-17 cells by immunization with antigens and adjuvants was abrogated in IL-1 receptor type I-deficient (IL-1RI(/))
118
Neuroinflammation
mice [119]. The involvement of IL-21 in Th-17 differentiation is still controversial. Several studies suggested that similar to IFN-γ, the autocrine cytokine important for Th-1 commitment, IL-21 was the essential autocrine cytokine for Th-17 differentiation [120–122]. Mouse Th-17 cells highly expressed IL-21; conversely, IL-21 promoted Th-17 differentiation by inducing ROR γt expression. During the process of Th-17 differentiation induced by TGF-β and IL-6, IL-6 induced expression of both IL-21 and IL-23R, and the IL-21 production in Th-17 cells was STAT3-dependent [121]. IL-21 potently induces ROR γt expression and IL-17 production to form a positive feedback loop to sustain Th-17 differentiation [121]. IL-6, IL-21, and IL-23 act sequentially in conjunction with TGF-β to induce ROR γt-dependent Th-17 differentiation [122]. IL-21 deficiency impairs the generation of Th-17 cells and results in partial protection against EAE [120]. Furthermore, studies of IL-6-deficient mice suggested that IL-21 may initiate an alternative pathway to induce Th-17 differentiation independent of IL-6. IL-21 cooperates with TGF-β to induce Th-17 cells in naive IL-6-deficient T cells and that IL-21-receptor-deficient T cells are defective in generating a Th-17 response [123]. However, a study in IL-21-deficient mice and IL-21R-deficient mice contradicted these data by showing that the differentiation of IL-17-producing CD4 T cells, their recruitment to inflamed organs, and the development of EAE were not affected in both IL-21R-deficient mice and IL-21-deficient mice [124]. IL-2 was found to inhibit Th-17 differentiation [125]. Genetic deletion or antibody blockade of IL-2 promoted differentiation of the Th-17 cells. Absence of IL-2 or disruption of its signaling by deletion of STAT5 resulted in enhanced Th-17 cell development. IL-10 negatively regulates IL-17 production by both macrophages and T cells. Under Th-17 polarizing conditions, IL-17-producing cells were increased significantly in IL-10-deficient and IL-10R-deficient splenocytes. The addition of recombinant IL-10 significantly decreased the percentage of IL-17-producing CD4 T cells [126]. γδ T cells are another important source of innate IL-17, when activated by IL-1β and IL-23, and act in an amplification loop for IL-17 production by promoting IL-17 production by CD4 T cells and increased susceptibility to EAE. IL-17-producing γδ T cells were found at high frequency in the brains of mice with EAE [127].
Molecular Mechanisms Regulating Th-17 Pathway The molecular mechanisms underlying the differentiation of Th-17 cells are still not completely understood, although several transcription factors have been implicated as involved in this process (see Figure 6.4). STATs play a very important role in regulating T-cell differentiation. STAT3 was thought to be one of the key regulators of Th-17 differentiation [125,128–130]. STAT3 is required for programming Th-17 cells by TGF-β/IL-6, and IL-23-driven IL-17-secreting phenotype. It was required for ROR γt expression in TGF-β/IL-6 differentiated Th-17 cells. Retroviral transduction of a constitutively active STAT3 enhanced IL-17 production from those cells [128]. IL-6, IL-21, and IL-23 all activate STAT3. A hyperactive form of STAT3 promoted Th-17 differentiation, whereas this differentiation process was greatly impaired in STAT3-deficient T cells [129]. Conversely, the deletion of the STAT3
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
119
inhibitor, Socs3, results in elevated numbers of Th-17 cells [131]. Several studies focused on the molecular mechanisms by which STAT3 regulates Th-17 differentiation. Chromatin immunoprecipitation assays showed that STAT3 directly bound to the IL-17A and IL-17F promoters [131]. However, it is not clear whether STAT3 regulates or interacts with other transcription factors essential for Th-17 differentiation, including ROR γt, the aryl hydrocarbon receptor (AHR), and IRF4. Although originally it was shown that IL-17 production is independent of STAT4, STAT6, and T-bet [132], data from conditional knockout mice demonstrated that STAT4 was partially required for the development of IL-23-driven Th-17 cells, but not for TGF-β plus IL-6-primed IL-17-secreting cells, and was absolutely required for IL-17 production in response to IL-23 plus IL-18 [128]. Furthermore, T-bet and STAT1 may not be required for the initial production of IL-17, but optimal IL-17 production induced by IL-23 requires the presence of T-bet [106]. Similar to this finding, it was also shown that the encephalitogenicity of Th-17 cells was dependent on the T-bet expression in those cells [9]. The master transcription factor controlling Th-17 differentiation was thought to be the orphan nuclear receptor ROR γt [133]. ROR γt is a thymus-specific isoform of the retinoic acid receptor-related orphan receptor (RORγ) and has been shown to be essential for the generation of fetal lymphoid tissue inducer cells (LTi) [134], and required for the development of lymph nodes and Peyer’s patches [135]. ROR γt was expressed in populations of intestinal lamina propria T lymphocytes, most of which constitutively produce IL-17, and that these cells were absent in ROR γt-deficient mice. ROR γt was shown to be required for Th-17 differentiation in vitro, and forced expression of ROR γt induces IL-17 expression in naïve CD4 T cells. Reduced severity of EAE and absence of infiltrating Th-17 cells were observed in ROR γt-deficient mice [133]. ROR γt directly binds to the IL-17 promoter, and this binding is sufficient for activation of the minimum promoter in the HEK 293T cells [136]. The optimal transcription of the IL-17 gene required a 2-kb promoter and at least one conserved enhancer sequence, CNS-5. Both cis-regulatory elements were able to bind ROR γt and Runx1. Runx1 acts together with ROR γt during IL-17 transcription [137]. However, the ROR γt defect does not completely abolish Th-17 differentiation, suggesting additional factors might be involved. RORα was shown to direct Th-17 differentiation together with ROR γt. Th-17 cells highly expressed RORα, induced by TGF-β and IL-6 in a STAT3-dependent manner. Overexpression of RORα promoted Th-17 differentiation, and RORα and ROR γt co-expression synergistically drove greater Th-17 differentiation, whereas RORα deficiency resulted in reduced IL-17 expression in vitro and in vivo, and double deficiencies in RORα and RORγ entirely impaired Th-17 generation in vitro and completely inhibited EAE disease expression [138]. One recent study showed that activator protein 1 (AP-1) transcription factor Batf directly regulates the IL-17 promoter, and by doing so controls Th-17 cell differentiation [139]. AP-1 transcription factors are dimers of JUN, FOS, MAF, and activating transcription factor (ATF) family proteins characterized by basic region and leucine zipper domains. Many AP-1 proteins contain defined transcriptional activation domains (but BATF contains only a basic region and leucine zipper) and are considered to be inhibitors of AP-1 activity. Batf-deficient mice, which have normal Th-1/Th-2 differentiation and defective Th-17 differentiation, are resistant to EAE.
120
Neuroinflammation
Batf-deficient T cells fail to induce ROR γt, and even overexpression of ROR γt cannot fully restore IL-17 production in Batf-deficient T cells. BATF was shown to bind directly to the conserved intergenic elements in the IL-17A/F locus and to the IL-17 promoters, demonstrating that Batf has a critical role in Th-17 differentiation, supposedly in synergy with ROR γt. The interferon-regulatory factors (IRFs) are transcription factors regulating type I interferon production [140], Toll-like receptor signaling [141], and Th-cell differentiation [142]. IRF4 was recently shown to be critical for the generation of Th-17 cells, although originally it was thought to be essential for Th-2 development [143–146]. IRF-specific siRNA blocked Th-17 differentiation of wild-type cells in vitro. IRF4-deficient Th cells failed to differentiate into Th-17 cells. IRF4-deficient Th cells had less expression of ROR γt and increased expression of Foxp3. IRF4-deficient mice were resistant to EAE because of the altered regulation of both Th-17 differentiation and T-regulatory cell differentiation. AHR is a ligand-dependent transcription factor best known for mediating the toxicity of dioxin. Ligand-activated transcription factor AHR was also identified as a regulator of Th-17 cell differentiation in mice [147,148] . AHR regulates both Treg and Th-17 cell differentiation in a ligand-specific fashion. AHR activation by 6 formylindolo[3,2-b]carbazole promoted Th-17 cell differentiation and increased the severity of EAE, whereas AHR activation by its ligand 2,3,7,8-tetrachlorodibenzop-dioxin induced functional Treg cells that suppressed EAE. AHR is also expressed in human Th-17 cells [148].
The Plasticity of Th-17 Cells The lineage differentiation of naïve CD4 T cells has been considered to be an irreversible event [30,149,150]. However, Th-17 cells differentiated in vitro with TGF-β and IL-6 appeared to be more plastic than traditional Th-1 and Th-2 cells [9,151– 154]. In vitro TGF-β/IL-6-inducing Th-17 cells required constant exposure to TGF-β for sustained expression of IL-17F and IL-17A. Even cells polarized in Th-17 cell conditions for 3 weeks failed to maintain IL-17A and IL-17F expression and were converted to Th-1 or Th-2 cells in the presence of IL-12 or IL-4, respectively. In the absence of TGF-β, both IL-23 and IL-12 acted to suppress IL-17 and enhance IFN-γ production in a STAT4- and T-bet-dependent manner. These results suggested substantial developmental plasticity of Th-17 cells differentiated in vitro, distinct from the stable lineage commitment of Th-1 and Th-2 cells.
In Vitro Differentiation of Encephalitogenic Th-17 Cells Several observations raised the question whether IL-23-driven Th-17 cells generated in vivo and the TGF-β/IL-6-induced Th-17 cells generated in vitro are actually the same, although they both express IL-17. The first difference they have is their difference in encephalitogenicity. Although the combination of TGF-β and IL-6 in vitro induces a
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
121
significant amount of IL-17 production in CD4 T cells, these TGF-β/IL-6-induced Th-17 cells are not pathogenic after adoptive transfer, which is completely different from those highly pathogenic, in vivo differentiated, IL-23-driven Th-17 cells described originally [9,104]. In addition, IL-17 production in TGF-β/IL-6-induced Th-17 cells differentiated in vitro is dependent on constant exposure to TGF-β/IL-6 and is blocked by IFN-γ/IL-4 signaling. These T cells converted to Th-1 or Th-2 cells in response to IL-12 or IL-4 exposure, respectively. However, Th-17 cells generated in vivo maintain their IL-17 memory upon subsequent in vitro culture, even in the absence of IL-23, showing a stable and distinct lineage of Th cells [153]. These findings suggested that there might be more than one molecular pathway through which IL-17 is induced from naïve T cells. Th-17 cells differentiated from different pathways are not all the same in terms of the encephalitogenicity in EAE, because the end product IL-17 is not the only factor responsible for the encephalitogenicity of T cells. IL-17 contributed partially to the encephalitogenicity, but other factors within this molecular pathway also contributed. This idea was supported by the data from both IL-17 knockout mice and transgenic mice. Neither the T-cell-driven overexpression of IL-17A nor its complete loss had a major impact on the development of clinical disease [155]. EAE severity was decreased in IL-17 knockout mice but not totally abolished, suggesting that there were other important factors accounting for the encephalitogenicity of those cells. Among all the possible factors during T-cell differentiation, the transcription factor T-bet is very special in this process. T-bet is the master transcription factor in Th-1 cell differentiation, but it is also shown to be required for the optimal IL-17 production by the IL-23-driven pathogenic Th-17 cells [106]. Moreover, T-bet was found to directly regulate transcription of the IL-23R and influence the fate of Th-17 cells, which depend on optimal IL-23 production for survival [8]. More importantly, in vitro suppression of T-bet during differentiation of myelin-specific T cells and in vivo administration of a T-bet-specific antisense oligonucleotide or siRNA inhibited disease [7,8]. All these data suggested that T-bet might be an important factor within the differentiation pathway to decide the encephalitogenicity of CD4 T cells. However, it has been shown that TGF-β is a powerful suppressor of T-bet expression. As a result, T-bet expression was completely suppressed in TGF-β/IL-6-induced Th-17 cells, which lack the ability to adoptively transfer EAE. In a search for ways to generate encephalitogenic Th-17 cells in vitro, Yang et al. found that IL-6 alone could induce IL-17 production, although IFN-γ production was also induced. So instead of adding TGF-β, which has been shown to suppress T-bet, we used IL-6 plus antibodies to IFN-γ, IL-12, and IL-4 to generate antigen-specific Th-17 cells from naïve T-cell-receptor transgenic T cells, which showed strong encephalitogenicity after adoptive transfer [9].
Human Th-17 Cells One of the major differences between the differentiation of human Th-17 cells and mouse Th-17 cells is the effect of TGF-β on Th-17 differentiation. TGF-β promoted IL-17 production from murine CD4 cells, but its effects on human Th-17 differentiation remained controversial.
122
Neuroinflammation
IL-23 and IL-1β were shown to induce the development of human Th-17 cells expressing IL-17A, IL-17F, IL-22, IL-26, IFN-γ, CCL20, and ROR γt. In situ, those Th-17 cells express IL-23 receptor and the memory T-cell marker CD45RO [156]. Similar to this study, another study confirmed that the polarization of human Th-17 cells was induced by IL-1β, but enhanced by IL-6 and suppressed by TGF-β and IL-12 [157]. In contrast to those two studies, Yang et al. showed that TGF-β and IL-21 promoted the differentiation of human naïve CD4 T cells into Th-17 cells, whereas IL-1β and IL-6 induced IL-17A secretion from human central memory CD4 T cells [158]. Manel et al. showed that TGF-β, IL-1β and IL-6, IL-21, or IL-23 in serum-free conditions was necessary and sufficient to induce IL-17 expression in naïve human CD4 T cells from cord blood, suggesting that similar cytokine pathways are involved in this process in mice and humans [159]. Other than the differentiating cytokines, Evans et al. showed that cell–cell contact with Toll-like receptor-activated monocytes in the context of T-cell-receptor ligation was required for the expression of IL-17 from precommitted precursors present in human peripheral blood [160]. Another difference between human and mouse Th-17 cells is the existence of IL-17/ IFN-γ double-positive cells in humans. Human CD4 T cells producing both IL-17 and IFN-γ were observed in MS [161] and other autoimmune diseases [162]. However, the significance of IL-17/IFN-γ double-positive cells is still not clear. Human IL-17producing cells have distinct cell surface markers. The chemokine receptor CCR6 was one of the main surface markers for human Th-17 cells [163]. CCR6 and CCR4 have been identified as the surface markers for human memory Th-17 cells, whereas CCR6 and CXCR3 identified human Th-1 cells and human IL-17/IFN-γ double-positive cells [162,164]. CD161, the equivalent of murine NK1.1, a molecule expressed on the surface of NK, NKT, and some CD4 and CD8 T cells, was reported to be consistently expressed on human Th-17 cells [165,166]. Surface IL-17A expression was also observed as another surface marker for human Th-17 cells [167]. Another interesting aspect of human Th-17 cells came from unexpected findings in human Treg cells [168]. Human memory Tregs were observed to secrete IL-17 ex vivo and constitutively express ROR γt. These IL-17-secreting Tregs express high levels of CCR4 and CCR6 and low levels of CXCR3 and CD161 [169]. Similarly, human regulatory T cells (CD4(pos)CD25(high)Foxp3(pos)CD127(neg)CD27(pos)) were shown to differentiate into IL-17-producing cells with high levels of ROR γt and CCR6, when stimulated by monocytes, in the presence of rhIL-2/rhIL-15. This differentiation process was enhanced by exogenous IL-1β, IL-23, and IL-21, whereas IL-6 or TGF-β had no effects [170]. Human peripheral blood and lymphoid tissue contain a significant number of CD4FOXP3 T cells expressing CCR6, which have the capacity to produce IL-17 upon activation. They co-express FOXP3 and ROR γt and strongly inhibit the proliferation of CD4 responder T cells [168]. Similar to what is observed in mouse, RORc2, the human counterpart of ROR γt, was identified as the master transcription factor of human Th-17 programming [171,172]. Human Th-17 cells were able to infiltrate into the CNS and cause inflammation. Kebir et al. showed that Th-17 lymphocytes transmigrate efficiently across BBB endothelial cells, highly express granzyme B, kill human neurons, and promote CNS inflammation through CD4 lymphocyte recruitment [173]. IL-17 and IL-22
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
123
receptors were found to be expressed on BBB endothelial cells in MS lesions, and IL-17 and IL-22 were shown to disrupt BBB tight junctions in vitro and in vivo.
Distinct Type of Inflammation Induced by Th-1 or Th-17 Cells Although adoptive transfer of both Th-1 and Th-17 cells induced EAE that was almost clinically indistinguishable, the pathology showed that Th-1 and Th-17 actually induced different types of inflammation with distinct histopathologic features and immune profiles in CNS, which made it unlikely that Th-17 cells are the only players in driving tissue damage in autoimmune diseases. It was shown that IL-12-driven disease was characterized by macrophage-rich infiltrates, whereas neutrophils and granulocyte colony stimulating factor (GCSF) were prominent in IL-23-driven lesions. The monocyte-attracting chemokines CXCL9, 10, and 11 were preferentially expressed in the CNS of mice injected with IL-12p70modulated T cells, whereas the neutrophil-attracting chemokines CXCL1 and CXCL2 were upregulated in the CNS of mice given IL-23-modulated T cells [174]. Not only were the inflammatory features different, but the lesion location in the CNS also seemed to be different between Th-1-induced inflammation and Th-17induced inflammation. The lesion localization in the CNS correlated with severe clinical outcomes, so this may be a crucial determinant of clinical outcomes in MS. Data from EAE studies showed that Th-1 and Th-17 seemed to have different infiltrating localization in the CNS. T cells that are specific for different myelin epitopes generate populations characterized by different Th-17 to Th-1 ratios, and the Th-17:Th-1 ratio of infiltrating T cells determines where inflammation occurs in the CNS. T cells infiltrated into brain parenchyma and caused inflammation when Th-17 cells outnumbered Th-1 cells. However, at low Th-17:Th-1 ratios, T-cell infiltration proceeded into the spinal cord, but not brain. This finding suggested critical differences in the regulation of inflammation in the brain and spinal cord by Th-1 and Th-17 cells [175].
Anti-p40 Therapy The consensus that MS is a T-cell-mediated autoimmune disease and Th-1 and Th-17 cells play critical roles in the disease pathogenesis has led to the clinical use of immunomodulatory therapies by targeting molecules in the Th-1 and/or Th-17 pathway. IL-12p40 has been chosen as the target for developing new therapy since IL-12p40 is the common subunit shared by both IL-12 and IL-23, and IL-12 p40- or IL-23 p19deficient mice are resistant to EAE induction. Anti-p40 therapy aims at targeting both the IL-12/Th-1 pathway and the IL-23/Th-17 pathway with one antibody. Treatment with neutralizing antibody against IL-12 p40 showed protective effects in rodent and nonhuman primate EAE models. SJL/J mice given neutralizing antiIL-12 monoclonal antibodies are protected from EAE [176]. Treatment of mice with
124
Neuroinflammation
an antibody to murine IL-12 after adoptive transfer completely prevented paralysis, with only 40% of the mice developing mild disease, while mice treated with rmIL-12 in vivo after the transfer of antigen-stimulated LNC developed a more severe and prolonged course of disease [59]. IL-12 neutralizing antibody blocks SE-induced and subsequent relapses of EAE and prevents spontaneous relapses [61]. Treatment with monoclonal anti-IL-12 antibody after immunization with MOG35–55 in NOD mice resulted in significant suppression of the development and the severity of the chronic relapsing–remitting EAE both clinically and histologically [177]. The common marmoset (Callithrix jacchus) is a neotropical primate species that shares significant immunologic similarity with humans [178]. The marmoset is highly susceptible to EAE, offering a valid preclinical model for evaluation of the efficacy of new therapies against MS that are inactive in lower species [179]. Marmoset monkeys treated with the IL-12p40 antibody from day 14 after EAE induction with human myelin failed to develop EAE. A protective effect on the neurologic dysfunction as well as on neuropathologic changes normally observed in the brain and spinal cord of EAE-affected animals has been observed with this neutralizing anti-IL-12p40 antibody [180]. To further determine if anti-human IL-12/23 p40 antibody has effects on established ongoing disease, EAE was induced by active immunization with rhMOG. Lesions developing in the cerebral white matter were visualized and characterized with standard magnetic resonance imaging techniques. Treatment with the antibody was initiated after active brain white matter lesions were detected on T2-weighted images, to mimic the treatment of MS patients. Changes in the total T2 lesion volume and T2 relaxation times were significantly suppressed in monkeys treated with anti-IL-12p40 antibody. Moreover, the time interval to serious neurologic deficit was delayed [181]. To explore the clinical efficacy of targeting the IL-23 immune pathway, Chen et al. tested whether blocking IL-23 function by IL-23p 19-specific antibody can inhibit EAE. Their data showed that anti-p19 antibody treatment reduced the serum level of IL-17 as well as CNS expression of IFN-γ, IP-10, IL-17, IL-6, and TNF mRNA. Treatment during active disease inhibited proteolipid protein (PLP) epitope spreading and prevented subsequent disease relapses. Thus, therapeutic targeting of IL-23 effectively inhibited inflammatory pathways driving CNS autoimmune inflammation [106]. With all the promising data from anti-p40 therapy in rodents and nonhuman primates, repeated subcutaneous injections of a fully humanized monoclonal antibody against IL12/23 p40, ustekinumab, was used to treat patients with relapsing–remitting multiple sclerosis (RRMS) to assess the drug’s safety, efficacy, and pharmacokinetics. Ustekinumab treatment did not show a significant reduction in the primary endpoint, the cumulative number of new gadolinium-enhancing T1-weighted lesions on serial cranial MRI through week 23, for any dosage groups versus placebo [182]. The failure of the ustekinumab trial was surprising, given the successes of antiIL-12p40 antibody in Crohn’s disease [183] and moderate to severe chronic plaque psoriasis [184,185]. One explanation might be that this antibody did not penetrate the CNS, where the inflammation was, as readily as it does in the skin and gut, although a dose-dependent increase in ustekinumab serum concentration was seen in patients.
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
125
Another possibility was that the subject population and the methods chosen for this study might obscure the true effect. The facts that the median disease duration was 0.4–10.1 years and the median expanded disability status score (EDSS) score was 0–6.5 indicated that some patients with advanced disease were included in this trial. It is unlikely that anti-IL-12/IL-23 p40 antibody would work well in patients with advanced disease, since both cytokines exerted their functions mainly on the differentiation of pathogenic CD4 T cells [186].
T-bet: A Potential Prognostic Marker and Therapeutic Target in MS As a transcription factor involved in both the IL-12/Th-1 and IL-23/Th-17 pathways, T-bet serves as an attractive therapeutic target for MS. It has been shown that T-betdeficient mice were resistant to the development of EAE by active immunization [88]. In vitro suppression of T-bet during differentiation of myelin-specific T cells and in vivo administration of a T-bet-specific antisense oligonucleotide or siRNA inhibited EAE [7]. Moreover, suppression of T-bet has also been shown to ameliorate disease in established EAE. Therapeutic administration of T-bet siRNA significantly improved the clinical course of established EAE. The improved clinical course was associated with suppression of newly differentiated T cells that express IL-17 in the CNS as well as suppression of MBP-specific Th-1 autoreactive T cells. The decrease of T-bet levels was observed in MS patients under IFN-β treatment. The mRNA expression of IFN-γ, IL-17, T-bet, and ROR γt on peripheral blood mononuclear cells (PBMCs) from 36 MS patients before and after 1 year of IFN-β treatment was determined. The levels of IL-17 and ROR γt remained similar in all MS patients. IFN-β induced significant decreases in IFN-γ in all patients, while decreases in T-bet were detected only in responders. Higher pretreatment T-bet levels allowed prediction of the clinical response in the first year, suggesting that T-bet expression might be a potential prognostic marker of treatment response to IFN-β [187].
References [1] McFarland HF, Martin R. Multiple sclerosis: a complicated picture of autoimmunity. Nat Immunol 2007;8:913–9. [2] Martin R, McFarland HF, McFarlin DE. Immunological aspects of demyelinating diseases. Annu Rev Immunol 1992;10:153–87. [3] McDonald AH, Swanborg RH. Antigen-specific inhibition of immune interferon production by suppressor cells of autoimmune encephalomyelitis. J Immunol 1988;140:1132–8. [4] Ando DG, Clayton J, Kono D, Urban JL, Sercarz EE. Encephalitogenic T cells in the B10.PL model of experimental allergic encephalomyelitis (EAE) are of the Th-1 lymphokine subtype. Cell Immunol 1989;124:132–43. [5] Waldburger KE, Hastings RC, Schaub RG, Goldman SJ, Leonard JP. Adoptive transfer of experimental allergic encephalomyelitis after in vitro treatment with recombinant
126
[6]
[7]
[8]
[9] [10]
[11] [12]
[13]
[14] [15] [16] [17]
[18] [19] [20]
[21] [22] [23]
[24]
Neuroinflammation
murine interleukin-12. Preferential expansion of interferon-gamma-producing cells and increased expression of macrophage-associated inducible nitric oxide synthase as immunomodulatory mechanisms. Am J Pathol 1996;148:375–82. Yura M, Takahashi I, Serada M, Koshio T, Nakagami K, Yuki Y, et al. Role of MOGstimulated Th1 type “light up” (GFP) CD4 T cells for the development of experimental autoimmune encephalomyelitis (EAE). J Autoimmun 2001;17:17–25. Lovett-Racke AE, Rocchini AE, Choy J, Northrop SC, Hussain RZ, Ratts RB, et al. Silencing T-bet defines a critical role in the differentiation of autoreactive T lymphocytes. Immunity 2004;21:719–31. Gocke AR, Cravens PD, Ben LH, Hussain RZ, Northrop SC, Racke MK, et al. T-bet regulates the fate of Th1 and Th17 lymphocytes in autoimmunity. J Immunol 2007;178:1341–8. Yang Y, Weiner J, Liu Y, Smith AJ, Huss DJ, Winger R, et al. T-bet is essential for encephalitogenicity of both Th1 and Th17 cells. J Exp Med 2009;206:1549–64. Baron JL, Madri JA, Ruddle NH, Hashim G, Janeway Jr. CA. Surface expression of alpha 4 integrin by CD4 T cells is required for their entry into brain parenchyma. J Exp Med 1993;177:57–68. Adorini L. Interleukin-12, a key cytokine in Th1-mediated autoimmune diseases. Cell Mol Life Sci 1999;55:1610–25. Gately MK, Desai BB, Wolitzky AG, Quinn PM, Dwyer CM, Podlaski FJ, et al. Regulation of human lymphocyte proliferation by a heterodimeric cytokine, IL-12 (cytotoxic lymphocyte maturation factor). J Immunol 1991;147:874–82. Gubler U, Chua AO, Schoenhaut DS, Dwyer CM, McComas W, Motyka R, et al. Coexpression of two distinct genes is required to generate secreted bioactive cytotoxic lymphocyte maturation factor. Proc Natl Acad Sci U S A 1991;88:4143–7. Karp CL, Biron CA, Irani DN. Interferon beta in multiple sclerosis: is IL-12 suppression the key? Immunol Today 2000;21:24–8. Segal BM, Dwyer BK, Shevach EM. An interleukin (IL)-10/IL-12 immunoregulatory circuit controls susceptibility to autoimmune disease. J Exp Med 1998;187:537–46. Seder RA, Paul WE. Acquisition of lymphokine-producing phenotype by CD4 T cells. Annu Rev Immunol 1994;12:635–73. Mosmann TR, Cherwinski H, Bond MW, Giedlin MA, Coffman RL. Two types of murine helper T cell clone. I. Definition according to profiles of lymphokine activities and secreted proteins. J Immunol 1986;136:2348–57. Mosmann TR, Coffman RL. TH1 and TH2 cells: different patterns of lymphokine secretion lead to different functional properties. Annu Rev Immunol 1989;7:145–73. Rocken M, Saurat JH, Hauser C. A common precursor for CD4 T cells producing IL-2 or IL-4. J Immunol 1992;148:1031–6. Kamogawa Y, Minasi LA, Carding SR, Bottomly K, Flavell RA. The relationship of IL-4- and IFN gamma-producing T cells studied by lineage ablation of IL-4-producing cells. Cell 1993;75:985–95. Abbas AK, Murphy KM, Sher A. Functional diversity of helper T lymphocytes. Nature 1996;383:787–93. Christen U, von Herrath MG. Manipulating the type 1 vs type 2 balance in type 1 diabetes. Immunol Res 2004;30:309–25. Gately MK, Renzetti LM, Magram J, Stern AS, Adorini L, Gubler U, et al. The interleukin-12/interleukin-12-receptor system: role in normal and pathologic immune responses. Annu Rev Immunol 1998;16:495–521. Trembleau S, Germann T, Gately MK, Adorini L. The role of IL-12 in the induction of organ-specific autoimmune diseases. Immunol Today 1995;16:383–6.
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
127
[25] Goldman M, Druet P, Gleichmann E. TH2 cells in systemic autoimmunity: insights from allogeneic diseases and chemically-induced autoimmunity. Immunol Today 1991;12:223–7. [26] Racke MK, Bonomo A, Scott DE, Cannella B, Levine A, Raine CS, et al. Cytokineinduced immune deviation as a therapy for inflammatory autoimmune disease. J Exp Med 1994;180:1961–6. [27] Murphy KM, Ouyang W, Farrar JD, Yang J, Ranganath S, Asnagli H, et al. Signaling and transcription in T helper development. Annu Rev Immunol 2000;18:451–94. [28] Glimcher LH, Murphy KM. Lineage commitment in the immune system: the T helper lymphocyte grows up. Genes Dev 2000;14:1693–711. [29] Kobayashi M, Fitz L, Ryan M, Hewick RM, Clark SC, Chan S, et al. Identification and purification of natural killer cell stimulatory factor (NKSF), a cytokine with multiple biologic effects on human lymphocytes. J Exp Med 1989;170:827–45. [30] Scott P. IFN-gamma modulates the early development of Th1 and Th2 responses in a murine model of cutaneous leishmaniasis. J Immunol 1991;147:3149–55. [31] Maggi E, Parronchi P, Manetti R, Simonelli C, Piccinni MP, Rugiu FS, et al. Reciprocal regulatory effects of IFN-gamma and IL-4 on the in vitro development of human Th1 and Th2 clones. J Immunol 1992;148:2142–7. [32] Hsieh CS, Macatonia SE, Tripp CS, Wolf SF, O'Garra A, Murphy KM. Development of TH1 CD4 T cells through IL-12 produced by Listeria-induced macrophages. Science 1993;260:547–9. [33] Manetti R, Parronchi P, Giudizi MG, Piccinni MP, Maggi E, Trinchieri G, et al. Natural killer cell stimulatory factor (interleukin 12 [IL-12]) induces T helper type 1 (Th1)specific immune responses and inhibits the development of IL-4-producing Th cells. J Exp Med 1993;177:1199–204. [34] Trinchieri G. Interleukin-12 and its role in the generation of TH1 cells. Immunol Today 1993;14:335–8. [35] Meraz MA, White JM, Sheehan KC, Bach EA, Rodig SJ, Dighe AS, et al. Targeted disruption of the Stat1 gene in mice reveals unexpected physiologic specificity in the JAKSTAT signaling pathway. Cell 1996;84:431–42. [36] Gazzinelli RT, Hieny S, Wynn TA, Wolf S, Sher A. Interleukin 12 is required for the T-lymphocyte-independent induction of interferon gamma by an intracellular parasite and induces resistance in T-cell-deficient hosts. Proc Natl Acad Sci U S A 1993;90:6115–9. [37] Tripp CS, Wolf SF, Unanue ER. Interleukin 12 and tumor necrosis factor alpha are costimulators of interferon gamma production by natural killer cells in severe combined immunodeficiency mice with listeriosis, and interleukin 10 is a physiologic antagonist. Proc Natl Acad Sci U S A 1993;90:3725–9. [38] Seder RA, Gazzinelli R, Sher A, Paul WE. Interleukin 12 acts directly on CD4 T cells to enhance priming for interferon gamma production and diminishes interleukin 4 inhibition of such priming. Proc Natl Acad Sci U S A 1993;90:10188–92. [39] Jacobson NG, Szabo SJ, Weber-Nordt RM, Zhong Z, Schreiber RD, Darnell Jr. JE, et al. Interleukin 12 signaling in T helper type 1 (Th1) cells involves tyrosine phosphorylation of signal transducer and activator of transcription (Stat)3 and Stat4. J Exp Med 1995;181:1755–62. [40] Kaplan MH, Sun YL, Hoey T, Grusby MJ. Impaired IL-12 responses and enhanced development of Th2 cells in Stat4-deficient mice. Nature 1996;382:174–7. [41] Magram J, Connaughton SE, Warrier RR, Carvajal DM, Wu CY, Ferrante J, et al. IL-12deficient mice are defective in IFN gamma production and type 1 cytokine responses. Immunity 1996;4:471–81.
128
Neuroinflammation
[42] Thierfelder WE, van Deursen JM, Yamamoto K, Tripp RA, Sarawar SR, Carson RT, et al. Requirement for Stat4 in interleukin-12-mediated responses of natural killer and T cells. Nature 1996;382:171–4. [43] Herrmann BG, Labeit S, Poustka A, King TR, Lehrach H. Cloning of the T gene required in mesoderm formation in the mouse. Nature 1990;343:617–22. [44] Meisler MH. Mutation watch: mouse brachyury (T), the T-box gene family, and human disease. Mamm Genome 1997;8:799–800. [45] Papaioannou VE. T-box family reunion. Trends Genet 1997;13:212–3. [46] Smith J. Brachyury and the T-box genes. Curr Opin Genet Dev 1997;7:474–80. [47] Szabo SJ, Kim ST, Costa GL, Zhang X, Fathman CG, Glimcher LH. A novel transcription factor, T-bet, directs Th1 lineage commitment. Cell 2000;100:655–69. [48] Szabo SJ, Sullivan BM, Stemmann C, Satoskar AR, Sleckman BP, Glimcher LH. Distinct effects of T-bet in TH1 lineage commitment and IFN-gamma production in CD4 and CD8 T cells. Science 2002;295:338–42. [49] Mullen AC, High FA, Hutchins AS, Lee HW, Villarino AV, Livingston DM, et al. Role of T-bet in commitment of TH1 cells before IL-12-dependent selection. Science 2001;292:1907–10. [50] Mullen AC, Hutchins AS, High FA, Lee HW, Sykes KJ, Chodosh LA, et al. Hlx is induced by and genetically interacts with T-bet to promote heritable T(H)1 gene induction. Nat Immunol 2002;3:652–8. [51] Afkarian M, Sedy JR, Yang J, Jacobson NG, Cereb N, Yang SY, et al. T-bet is a STAT1-induced regulator of IL-12R expression in naive CD4 T cells. Nat Immunol 2002;3:549–57. [52] Lighvani AA, Frucht DM, Jankovic D, Yamane H, Aliberti J, Hissong BD, et al. T-bet is rapidly induced by interferon-gamma in lymphoid and myeloid cells. Proc Natl Acad Sci U S A 2001;98:15137–42. [53] Presky DH, Yang H, Minetti LJ, Chua AO, Nabavi N, Wu CY, et al. A functional interleukin 12 receptor complex is composed of two beta-type cytokine receptor subunits. Proc Natl Acad Sci U S A 1996;93:14002–07. [54] Szabo SJ, Dighe AS, Gubler U, Murphy KM. Regulation of the interleukin (IL)-12R beta 2 subunit expression in developing T helper 1 (Th1) and Th2 cells. J Exp Med 1997;185:817–24. [55] Cerretti DP, Kozlosky CJ, Mosley B, Nelson N, Van Ness K, Greenstreet TA, et al. Molecular cloning of the interleukin-1 beta converting enzyme. Science 1992;256:97–100. [56] Okamura H, Tsutsi H, Komatsu T, Yutsudo M, Hakura A, Tanimoto T, et al. Cloning of a new cytokine that induces IFN-gamma production by T cells. Nature 1995;378:88–91. [57] Takeda K, Tsutsui H, Yoshimoto T, Adachi O, Yoshida N, Kishimoto T, et al. Defective NK cell activity and Th1 response in IL-18-deficient mice. Immunity 1998;8:383–90. [58] Leonard JP, Waldburger KE, Schaub RG, Smith T, Hewson AK, Cuzner ML, et al. Regulation of the inflammatory response in animal models of multiple sclerosis by interleukin-12. Crit Rev Immunol 1997;17:545–53. [59] Leonard JP, Waldburger KE, Goldman SJ. Prevention of experimental autoimmune encephalomyelitis by antibodies against interleukin 12. J Exp Med 1995;181:381–6. [60] Segal BM, Shevach EM. IL-12 unmasks latent autoimmune disease in resistant mice. J Exp Med 1996;184:771–5. [61] Constantinescu CS, Wysocka M, Hilliard B, Ventura ES, Lavi E, Trinchieri G, et al. Antibodies against IL-12 prevent superantigen-induced and spontaneous relapses of experimental autoimmune encephalomyelitis. J Immunol 1998;161:5097–104.
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
129
[62] Olsson T, Zhi WW, Hojeberg B, Kostulas V, Jiang YP, Anderson G, et al. Autoreactive T lymphocytes in multiple sclerosis determined by antigen-induced secretion of interferon-gamma. J Clin Invest 1990;86:981–5. [63] Sun JB, Olsson T, Wang WZ, Xiao BG, Kostulas V, Fredrikson S, et al. Autoreactive T and B cells responding to myelin proteolipid protein in multiple sclerosis and controls. Eur J Immunol 1991;21:1461–8. [64] Voskuhl RR, Martin R, Bergman C, Dalal M, Ruddle NH, McFarland T helper 1 (Th1) functional phenotype of human myelin basic protein-specific T lymphocytes. Autoimmunity 1993;15:137–43. [65] Pelfrey CM, Rudick RA, Cotleur AC, Lee JC, Tary-Lehmann M, Lehmann PV. Quantification of self-recognition in multiple sclerosis by single-cell analysis of cytokine production. J Immunol 2000;165:1641–51. [66] Allegretta M, Nicklas JA, Sriram S, Albertini RJ. T cells responsive to myelin basic protein in patients with multiple sclerosis. Science 1990;247:718–21. [67] Lovett-Racke AE, Trotter JL, Lauber J, Perrin PJ, June CH, Racke MK. Decreased dependence of myelin basic protein-reactive T cells on CD28-mediated costimulation in multiple sclerosis patients. A marker of activated/memory T cells. J Clin Invest 1998;101:725–30. [68] Burns J, Bartholomew B, Lobo S. Isolation of myelin basic protein-specific T cells predominantly from the memory T-cell compartment in multiple sclerosis. Ann Neurol 1999;45:33–9. [69] Bielekova B, Goodwin B, Richert N, Cortese I, Kondo T, Afshar G, et al. Encephalitogenic potential of the myelin basic protein peptide (amino acids 83–99) in multiple sclerosis: results of a phase II clinical trial with an altered peptide ligand. Nat Med 2000;6:1167–75. [70] Beck J, Rondot P, Catinot L, Falcoff E, Kirchner H, Wietzerbin J. Increased production of interferon gamma and tumor necrosis factor precedes clinical manifestation in multiple sclerosis: do cytokines trigger off exacerbations? Acta Neurol Scand 1988;78:318–23. [71] Lu CZ, Jensen MA, Arnason BG. Interferon gamma- and interleukin-4-secreting cells in multiple sclerosis. J Neuroimmunol 1993;46:123–8. [72] Woodroofe MN, Cuzner ML. Cytokine mRNA expression in inflammatory multiple sclerosis lesions: detection by non-radioactive in situ hybridization. Cytokine 1993;5:583–8. [73] Balashov KE, Smith DR, Khoury SJ, Hafler DA, Weiner HL. Increased interleukin 12 production in progressive multiple sclerosis: induction by activated CD4 T cells via CD40 ligand. Proc Natl Acad Sci U S A 1997;94:599–603. [74] Comabella M, Balashov K, Issazadeh S, Smith D, Weiner HL, Khoury SJ. Elevated interleukin-12 in progressive multiple sclerosis correlates with disease activity and is normalized by pulse cyclophosphamide therapy. J Clin Invest 1998;102:671–8. [75] Windhagen A, Newcombe J, Dangond F, Strand C, Woodroofe MN, Cuzner ML, et al. Expression of costimulatory molecules B7-1 (CD80), B7-2 (CD86), and interleukin 12 cytokine in multiple sclerosis lesions. J Exp Med 1995;182:1985–96. [76] Panitch HS, Hirsch RL, Haley AS, Johnson KP. Exacerbations of multiple sclerosis in patients treated with gamma interferon. Lancet 1987;1:893–5. [77] Panitch HS, Hirsch RL, Schindler J, Johnson KP. Treatment of multiple sclerosis with gamma interferon: exacerbations associated with activation of the immune system. Neurology 1987;37:1097–102. [78] Billiau A, Heremans H, Vermeire K, Matthys P. Immunomodulatory properties of interferon-gamma. An update. Ann N Y Acad Sci 1998;856:22–32.
130
Neuroinflammation
[79] Duong St TT, Louis J, Gilbert JJ, Finkelman FD, Strejan GH. Effect of anti-interferongamma and anti-interleukin-2 monoclonal antibody treatment on the development of actively and passively induced experimental allergic encephalomyelitis in the SJL/J mouse. J Neuroimmunol 1992;36:105–15. [80] Lublin FD, Knobler RL, Kalman B, Goldhaber M, Marini J, Perrault M, et al. Monoclonal anti-gamma interferon antibodies enhance experimental allergic encephalomyelitis. Autoimmunity 1993;16:267–74. [81] Heremans H, Dillen C, Groenen M, Martens E, Billiau A. Chronic relapsing experimental autoimmune encephalomyelitis (CREAE) in mice: enhancement by monoclonal antibodies against interferon-gamma. Eur J Immunol 1996;26:2393–8. [82] Ferber IA, Brocke S, Taylor-Edwards C, Ridgway W, Dinisco C, Steinman L, et al. Mice with a disrupted IFN-gamma gene are susceptible to the induction of experimental autoimmune encephalomyelitis (EAE). J Immunol 1996;156:5–7. [83] Willenborg DO, Fordham S, Bernard CC, Cowden WB, Ramshaw IA. IFN-gamma plays a critical down-regulatory role in the induction and effector phase of myelin oligodendrocyte glycoprotein-induced autoimmune encephalomyelitis. J Immunol 1996;157:3223–7. [84] Hu X, Ivashkiv LB. Cross-regulation of signaling pathways by interferon-gamma: implications for immune responses and autoimmune diseases. Immunity 2009;31:539–50. [85] Chu CQ, Wittmer S, Dalton DK. Failure to suppress the expansion of the activated CD4 T cell population in interferon gamma-deficient mice leads to exacerbation of experimental autoimmune encephalomyelitis. J Exp Med 2000;192:123–8. [86] Racke MK, Burnett D, Pak SH, Albert PS, Cannella B, Raine CS, et al. Retinoid treatment of experimental allergic encephalomyelitis. IL-4 production correlates with improved disease course. J Immunol 1995;154:450–8. [87] Chitnis T, Najafian N, Benou C, Salama AD, Grusby MJ, Sayegh MH, et al. Effect of targeted disruption of STAT4 and STAT6 on the induction of experimental autoimmune encephalomyelitis. J Clin Invest 2001;108:739–47. [88] Bettelli E, Sullivan B, Szabo SJ, Sobel RA, Glimcher LH, Kuchroo VK. Loss of T-bet, but not STAT1, prevents the development of experimental autoimmune encephalomyelitis. J Exp Med 2004;200:79–87. [89] Nath N, Prasad R, Giri S, Singh AK, Singh I. T-bet is essential for the progression of experimental autoimmune encephalomyelitis. Immunology 2006;118:384–91. [90] Gran B, Zhang GX, Yu S, Li J, Chen XH, Ventura ES, et al. IL-12p35-deficient mice are susceptible to experimental autoimmune encephalomyelitis: evidence for redundancy in the IL-12 system in the induction of central nervous system autoimmune demyelination. J Immunol 2002;169:7104–10. [91] Becher B, Durell BG, Noelle RJ. Experimental autoimmune encephalitis and inflammation in the absence of interleukin-12. J Clin Invest 2002;110:493–7. [92] Cua DJ, Sherlock J, Chen Y, Murphy CA, Joyce B, Seymour B, et al. Interleukin-23 rather than interleukin-12 is the critical cytokine for autoimmune inflammation of the brain. Nature 2003;421:744–8. [93] Zhang GX, Gran B, Yu S, Li J, Siglienti I, Chen X, et al. Induction of experimental autoimmune encephalomyelitis in IL-12 receptor-beta 2-deficient mice: IL-12 responsiveness is not required in the pathogenesis of inflammatory demyelination in the central nervous system. J Immunol 2003;170:2153–60. [94] Zhang GX, Yu S, Gran B, Li J, Siglienti I, Chen X, et al. Role of IL-12 receptor beta 1 in regulation of T cell response by APC in experimental autoimmune encephalomyelitis. J Immunol 2003;171:4485–92.
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
131
[95] Collison LW, Vignali DA. Interleukin-35: odd one out or part of the family? Immunol Rev 2008;226:248–62. [96] Devergne O, Birkenbach M, Kieff E. Epstein-Barr virus-induced gene 3 and the p35 subunit of interleukin 12 form a novel heterodimeric hematopoietin. Proc Natl Acad Sci U S A 1997;94:12041–46. [97] Collison LW, Workman CJ, Kuo TT, Boyd K, Wang Y, Vignali KM, et al. The inhibitory cytokine IL-35 contributes to regulatory T-cell function. Nature 2007;450:566–9. [98] Devergne O, Hummel M, Koeppen H, Le Beau MM, Nathanson EC, Kieff E, et al. A novel interleukin-12 p40-related protein induced by latent Epstein-Barr virus infection in B lymphocytes. J Virol 1996;70:1143–53. [99] Thakker P, Leach MW, Kuang W, Benoit SE, Leonard JP, Marusic S. IL-23 is critical in the induction but not in the effector phase of experimental autoimmune encephalomyelitis. J Immunol 2007;178:2589–98. [100] Oppmann B, Lesley R, Blom B, Timans JC, Xu Y, Hunte B, et al. Novel p19 protein engages IL-12p40 to form a cytokine, IL-23, with biological activities similar as well as distinct from IL-12. Immunity 2000;13:715–25. [101] Parham C, Chirica M, Timans J, Vaisberg E, Travis M, Cheung J, et al. A receptor for the heterodimeric cytokine IL-23 is composed of IL-12Rbeta1 and a novel cytokine receptor subunit, IL-23R. J Immunol 2002;168:5699–708. [102] Awasthi A, Riol-Blanco L, Jager A, Korn T, Pot C, Galileos G, et al. Cutting edge: IL-23 receptor gfp reporter mice reveal distinct populations of IL-17-producing cells. J Immunol 2009;182:5904–8. [103] Aggarwal S, Ghilardi N, Xie MH, de Sauvage FJ, Gurney AL. Interleukin-23 promotes a distinct CD4 T cell activation state characterized by the production of interleukin-17. J Biol Chem 2003;278:1910–4. [104] Langrish CL, Chen Y, Blumenschein WM, Mattson J, Basham B, Sedgwick JD, et al. IL-23 drives a pathogenic T cell population that induces autoimmune inflammation. J Exp Med 2005;201:233–40. [105] Wiekowski MT, Leach MW, Evans EW, Sullivan L, Chen SC, Vassileva G, et al. Ubiquitous transgenic expression of the IL-23 subunit p19 induces multiorgan inflammation, runting, infertility, and premature death. J Immunol 2001;166:7563–70. [106] Chen Y, Langrish CL, McKenzie B, Joyce-Shaikh B, Stumhofer JS, McClanahan T, et al. Anti-IL-23 therapy inhibits multiple inflammatory pathways and ameliorates autoimmune encephalomyelitis. J Clin Invest 2006;116:1317–26. [107] Li J, Gran B, Zhang GX, Ventura ES, Siglienti I, Rostami A, et al. Differential expression and regulation of IL-23 and IL-12 subunits and receptors in adult mouse microglia. J Neurol Sci 2003;215:95–103. [108] Becher B, Durell BG, Noelle RJ. IL-23 produced by CNS-resident cells controls T cell encephalitogenicity during the effector phase of experimental autoimmune encephalomyelitis. J Clin Invest 2003;112:1186–91. [109] Vaknin-Dembinsky A, Balashov K, Weiner HL. IL-23 is increased in dendritic cells in multiple sclerosis and down-regulation of IL-23 by antisense oligos increases dendritic cell IL-10 production. J Immunol 2006;176:7768–74. [110] Li Y, Chu N, Hu A, Gran B, Rostami A, Zhang GX. Increased IL-23p19 expression in multiple sclerosis lesions and its induction in microglia. Brain 2007;130:490–501. [111] Li Y, Chu N, Hu A, Gran B, Rostami A, Zhang GX. Inducible IL-23p19 expression in human microglia via p38 MAPK and NF-kappaB signal pathways. Exp Mol Pathol 2008;84:1–8.
132
Neuroinflammation
[112] Lock C, Hermans G, Pedotti R, Brendolan A, Schadt E, Garren H, et al. Genemicroarray analysis of multiple sclerosis lesions yields new targets validated in autoimmune encephalomyelitis. Nat Med 2002;8:500–8. [113] Matusevicius D, Kivisakk P, He B, Kostulas N, Ozenci V, Fredrikson S, et al. Interleukin-17 mRNA expression in blood and CSF mononuclear cells is augmented in multiple sclerosis. Mult Scler 1999;5:101–4. [114] Bettelli E, Carrier Y, Gao W, Korn T, Strom TB, Oukka M, et al. Reciprocal developmental pathways for the generation of pathogenic effector TH17 and regulatory T cells. Nature 2006;441:235–8. [115] Veldhoen M, Hocking RJ, Atkins CJ, Locksley RM, Stockinger B. TGFbeta in the context of an inflammatory cytokine milieu supports de novo differentiation of IL-17producing T cells. Immunity 2006;24:179–89. [116] Chen W, Jin W, Hardegen N, Lei KJ, Li L, Marinos N, et al. Conversion of peripheral CD4CD25- naive T cells to CD4CD25 regulatory T cells by TGF-beta induction of transcription factor Foxp3. J Exp Med 2003;198:1875–86. [117] Fantini MC, Becker C, Monteleone G, Pallone F, Galle PR, Neurath MF. Cutting edge: TGF-beta induces a regulatory phenotype in CD4CD25- T cells through Foxp3 induction and down-regulation of Smad7. J Immunol 2004;172:5149–53. [118] Zhou L, Lopes JE, Chong MM, Ivanov II, Min R, Victora GD, et al. TGF-beta-induced Foxp3 inhibits T(H)17 cell differentiation by antagonizing RORgammat function. Nature 2008;453:236–40. [119] Sutton C, Brereton C, Keogh B, Mills KH, Lavelle EC. A crucial role for interleukin (IL)-1 in the induction of IL-17-producing T cells that mediate autoimmune encephalomyelitis. J Exp Med 2006;203:1685–91. [120] Nurieva R, Yang XO, Martinez G, Zhang Y, Panopoulos AD, Ma L, et al. Essential autocrine regulation by IL-21 in the generation of inflammatory T cells. Nature 2007;448:480–3. [121] Wei L, Laurence A, Elias KM, O'Shea JJ. IL-21 is produced by Th17 cells and drives IL-17 production in a STAT3-dependent manner. J Biol Chem 2007;282:34605–10. [122] Zhou L, Ivanov II, Spolski R, Min R, Shenderov K, Egawa T, et al. IL-6 programs T(H)-17 cell differentiation by promoting sequential engagement of the IL-21 and IL-23 pathways. Nat Immunol 2007;8:967–74. [123] Korn T, Bettelli E, Gao W, Awasthi A, Jager A, Strom TB, et al. IL-21 initiates an alternative pathway to induce proinflammatory T(H)17 cells. Nature 2007;448:484–7. [124] Sonderegger I, Kisielow J, Meier R, King C, Kopf M. IL-21 and IL-21R are not required for development of Th17 cells and autoimmunity in vivo. Eur J Immunol 2008;38:1833–8. [125] Laurence A, Tato CM, Davidson TS, Kanno Y, Chen Z, Yao Z, et al. Interleukin-2 signaling via STAT5 constrains T helper 17 cell generation. Immunity 2007;26:371–81. [126] Gu Y, Yang J, Ouyang X, Liu W, Li H, Bromberg J, et al. Interleukin 10 suppresses Th17 cytokines secreted by macrophages and T cells. Eur J Immunol 2008;38:1807–13. [127] Sutton CE, Lalor SJ, Sweeney CM, Brereton CF, Lavelle EC, Mills KH. Interleukin-1 and IL-23 induce innate IL-17 production from gammadelta T cells, amplifying Th17 responses and autoimmunity. Immunity 2009;31:331–41. [128] Mathur AN, Chang HC, Zisoulis DG, Stritesky GL, Yu Q, O’Malley JT, et al. Stat3 and Stat4 direct development of IL-17-secreting Th cells. J Immunol 2007;178:4901–7. [129] Yang XO, Panopoulos AD, Nurieva R, Chang SH, Wang D, Watowich SS, et al. STAT3 regulates cytokine-mediated generation of inflammatory helper T cells. J Biol Chem 2007;282:9358–63.
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
133
[130] Adamson AS, Collins K, Laurence A, O'Shea JJ. The Current STATus of lymphocyte signaling: new roles for old players. Curr Opin Immunol 2009;21:161–6. [131] Chen Z, Laurence A, Kanno Y, Pacher-Zavisin M, Zhu BM, Tato C, et al. Selective regulatory function of Socs3 in the formation of IL-17-secreting T cells. Proc Natl Acad Sci U S A 2006;103:8137–42. [132] Harrington LE, Hatton RD, Mangan PR, Turner H, Murphy TL, Murphy KM, et al. Interleukin 17-producing CD4 effector T cells develop via a lineage distinct from the T helper type 1 and 2 lineages. Nat Immunol 2005;6:1123–32. [133] Ivanov II, McKenzie BS, Zhou L, Tadokoro CE, Lepelley A, Lafaille JJ, et al. The orphan nuclear receptor RORgammat directs the differentiation program of proinflammatory IL-17 T helper cells. Cell 2006;126:1121–33. [134] Eberl G, Marmon S, Sunshine MJ, Rennert PD, Choi Y, Littman DR. An essential function for the nuclear receptor RORgamma(t) in the generation of fetal lymphoid tissue inducer cells. Nat Immunol 2004;5:64–73. [135] Sun Z, Unutmaz D, Zou YR, Sunshine MJ, Pierani A, Brenner-Morton S, et al. Requirement for RORgamma in thymocyte survival and lymphoid organ development. Science 2000;288:2369–73. [136] Ichiyama K, Yoshida H, Wakabayashi Y, Chinen T, Saeki K, Nakaya M, et al. Foxp3 inhibits RORgammat-mediated IL-17A mRNA transcription through direct interaction with RORgammat. J Biol Chem 2008;283:17003–08. [137] Zhang F, Meng G, Strober W. Interactions among the transcription factors Runx1, RORgammat and Foxp3 regulate the differentiation of interleukin 17-producing T cells. Nat Immunol 2008;9:1297–306. [138] Yang XO, Pappu BP, Nurieva R, Akimzhanov A, Kang HS, Chung Y, et al. T helper 17 lineage differentiation is programmed by orphan nuclear receptors ROR alpha and ROR gamma. Immunity 2008;28:29–39. [139] Schraml BU, Hildner K, Ise W, Lee WL, Smith WA, Solomon B, et al. The AP-1 transcription factor Batf controls T(H)17 differentiation. Nature 2009;460:405–9. [140] Honda K, Takaoka A, Taniguchi T. Type I interferon [corrected] gene induction by the interferon regulatory factor family of transcription factors. Immunity 2006; 25:349–60. [141] Honda K, Taniguchi T. IRFs: master regulators of signalling by Toll-like receptors and cytosolic pattern-recognition receptors. Nat Rev Immunol 2006;6:644–58. [142] Lohoff M, Mak TW. Roles of interferon-regulatory factors in T-helper-cell differentiation. Nat Rev Immunol 2005;5:125–35. [143] Brustle A, Heink S, Huber M, Rosenplanter C, Stadelmann C, Yu P, et al. The deve lopment of inflammatory T(H)-17 cells requires interferon-regulatory factor 4. Nat Immunol 2007;8:958–66. [144] Rengarajan J, Mowen KA, McBride KD, Smith ED, Singh H, Glimcher LH. Interferon regulatory factor 4 (IRF4) interacts with NFATc2 to modulate interleukin 4 gene expression. J Exp Med 2002;195:1003–12. [145] Hu CM, Jang SY, Fanzo JC, Pernis AB. Modulation of T cell cytokine production by interferon regulatory factor-4. J Biol Chem 2002;277:49238–46. [146] Lohoff M, Mittrucker HW, Prechtl S, Bischof S, Sommer F, Kock S, et al. Dysregulated T helper cell differentiation in the absence of interferon regulatory factor 4. Proc Natl Acad Sci U S A 2002;99:11808–12. [147] Quintana FJ, Basso AS, Iglesias AH, Korn T, Farez MF, Bettelli E, et al. Control of T(reg) and T(H)17 cell differentiation by the aryl hydrocarbon receptor. Nature 2008;453:65–71.
134
Neuroinflammation
[148] Veldhoen M, Hirota K, Westendorf AM, Buer J, Dumoutier L, Renauld JC, et al. The aryl hydrocarbon receptor links TH17-cell-mediated autoimmunity to environmental toxins. Nature 2008;453:106–9. [149] Murphy E, Shibuya K, Hosken N, Openshaw P, Maino V, Davis K, et al. Reversibility of T helper 1 and 2 populations is lost after long-term stimulation. J Exp Med 1996;183:901–13. [150] Huss, D. J., Winger, R. C., Peng, H., Yang, Y., Racke, M. K. and Lovett-Racke, A. E. (2010) TGF-beta enhances effector Th1 cell activation but promotes self-regulation via IL-10. J Immunol 2010;184:5628–36. [151] Shi G, Cox CA, Vistica BP, Tan C, Wawrousek EF, Gery I. Phenotype switching by inflammation-inducing polarized Th17 cells, but not by Th1 cells. J Immunol 2008;181:7205–13. [152] Zhou L, Chong MM, Littman DR. Plasticity of CD4 T cell lineage differentiation. Immunity 2009;30:646–55. [153] Lexberg MH, Taubner A, Forster A, Albrecht I, Richter A, Kamradt T, et al. Th memory for interleukin-17 expression is stable in vivo. Eur J Immunol 2008;38:2654–64. [154] Lee YK, Turner H, Maynard CL, Oliver JR, Chen D, Elson CO, et al. Late developmental plasticity in the T helper 17 lineage. Immunity 2009;30:92–107. [155] Haak S, Croxford AL, Kreymborg K, Heppner FL, Pouly S, Becher B, et al. IL-17A and IL-17F do not contribute vitally to autoimmune neuro-inflammation in mice. J Clin Invest 2009;119:61–9. [156] Wilson NJ, Boniface K, Chan JR, McKenzie BS, Blumenschein WM, Mattson JD, et al. Development, cytokine profile and function of human interleukin 17-producing helper T cells. Nat Immunol 2007;8:950–7. [157] Acosta-Rodriguez EV, Napolitani G, Lanzavecchia A, Sallusto F. Interleukins 1beta and 6 but not transforming growth factor-beta are essential for the differentiation of interleukin 17-producing human T helper cells. Nat Immunol 2007;8:942–9. [158] Yang L, Anderson DE, Baecher-Allan C, Hastings WD, Bettelli E, Oukka M, et al. IL-21 and TGF-beta are required for differentiation of human T(H)17 cells. Nature 2008;454:350–2. [159] Manel N, Unutmaz D, Littman DR. The differentiation of human T(H)-17 cells requires transforming growth factor-beta and induction of the nuclear receptor RORgammat. Nat Immunol 2008;9:641–9. [160] Evans HG, Suddason T, Jackson I, Taams LS, Lord GM. Optimal induction of T helper 17 cells in humans requires T cell receptor ligation in the context of Toll-like receptor-activated monocytes. Proc Natl Acad Sci U S A 2007;104:17034–39. [161] Kebir H, Ifergan I, Alvarez JI, Bernard M, Poirier J, Arbour N, et al. Preferential recruitment of interferon-gamma-expressing T H 17 cells in multiple sclerosis. Ann Neurol 2009;66:390–402. [162] Annunziato F, Cosmi L, Santarlasci V, Maggi L, Liotta F, Mazzinghi B, et al. Phenotypic and functional features of human Th17 cells. J Exp Med 2007;204:1849–61. [163] Singh SP, Zhang HH, Foley JF, Hedrick MN, Farber JM. Human T cells that are able to produce IL-17 express the chemokine receptor CCR6. J Immunol 2008; 180:214–21. [164] Acosta-Rodriguez EV, Rivino L, Geginat J, Jarrossay D, Gattorno M, Lanzavecchia A, et al. Surface phenotype and antigenic specificity of human interleukin 17-producing T helper memory cells. Nat Immunol 2007;8:639–46.
Role of IL-12/IL-23 in the Pathogenesis of Multiple Sclerosis
135
[165] Annunziato F, Cosmi L, Liotta F, Maggi E, Romagnani S. The phenotype of human Th17 cells and their precursors, the cytokines that mediate their differentiation and the role of Th17 cells in inflammation. Int Immunol 2008;20:1361–8. [166] Cosmi L, De Palma R, Santarlasci V, Maggi L, Capone M, Frosali F, et al. Human interleukin 17-producing cells originate from a CD161CD4 T cell precursor. J Exp Med 2008;205:1903–16. [167] Brucklacher-Waldert V, Steinbach K, Lioznov M, Kolster M, Holscher C, Tolosa E. Phenotypical characterization of human Th17 cells unambiguously identified by surface IL-17A expression. J Immunol 2009;183:5494–501. [168] Voo KS, Wang YH, Santori FR, Boggiano C, Arima K, Bover L, et al. Identification of IL-17-producing FOXP3 regulatory T cells in humans. Proc Natl Acad Sci U S A 2009;106:4793–8. [169] Ayyoub M, Deknuydt F, Raimbaud I, Dousset C, Leveque L, Bioley G, et al. Human memory FOXP3 Tregs secrete IL-17 ex vivo and constitutively express the T(H)17 lineage-specific transcription factor RORgamma t. Proc Natl Acad Sci U S A 2009;106:8635–40. [170] Koenen HJ, Smeets RL, Vink PM, van Rijssen E, Boots AM, Joosten I. Human CD25highFoxp3pos regulatory T cells differentiate into IL-17-producing cells. Blood 2008;112:2340–52. [171] Crome SQ, Wang AY, Kang CY, Levings MK. The role of retinoic acid-related orphan receptor variant 2 and IL-17 in the development and function of human CD4 T cells. Eur J Immunol 2009;39:1480–93. [172] Unutmaz D. RORC2: the master of human Th17 cell programming. Eur J Immunol 2009;39:1452–5. [173] Kebir H, Kreymborg K, Ifergan I, Dodelet-Devillers A, Cayrol R, Bernard M, et al. Human TH17 lymphocytes promote blood-brain barrier disruption and central nervous system inflammation. Nat Med 2007;13:1173–5. [174] Kroenke MA, Carlson TJ, Andjelkovic AV, Segal BM. IL-12- and IL-23-modulated T cells induce distinct types of EAE based on histology, CNS chemokine profile, and response to cytokine inhibition. J Exp Med 2008;205:1535–41. [175] Stromnes IM, Cerretti LM, Liggitt D, Harris RA, Goverman JM. Differential regulation of central nervous system autoimmunity by T(H)1 and T(H)17 cells. Nat Med 2008;14:337–42. [176] Constantinescu CS, Hilliard B, Ventura E, Wysocka M, Showe L, Lavi E, et al. Modulation of susceptibility and resistance to an autoimmune model of multiple sclerosis in prototypically susceptible and resistant strains by neutralization of interleukin-12 and interleukin-4, respectively. Clin Immunol 2001;98:23–30. [177] Ichikawa M, Koh CS, Inoue A, Tsuyusaki J, Yamazaki M, Inaba Y, et al. Anti-IL-12 antibody prevents the development and progression of multiple sclerosis-like relapsing–remitting demyelinating disease in NOD mice induced with myelin oligodendrocyte glycoprotein peptide. J Neuroimmunol 2000;102:56–66. [178] Brok HP, Bauer J, Jonker M, Blezer E, Amor S, Bontrop RE, et al. Non-human primate models of multiple sclerosis. Immunol Rev 2001;183:173–85. [179] t Hart BA, Amor S, Jonker M. Evaluating the validity of animal models for research into therapies for immune-based disorders. Drug Discov Today 2004;9:517–24. [180] Brok HP, van Meurs M, Blezer E, Schantz A, Peritt D, Treacy G, et al. Prevention of experimental autoimmune encephalomyelitis in common marmosets using an anti-IL12p40 monoclonal antibody. J Immunol 2002;169:6554–63.
136
Neuroinflammation
[181] t Hart BA, Brok HP, Remarque E, Benson J, Treacy G, Amor S, et al. Suppression of ongoing disease in a nonhuman primate model of multiple sclerosis by a humananti-human IL-12p40 antibody. J Immunol 2005;175:4761–8. [182] Segal BM, Constantinescu CS, Raychaudhuri A, Kim L, Fidelus-Gort R, Kasper LH. Repeated subcutaneous injections of IL12/23 p40 neutralising antibody, ustekinumab, in patients with relapsing-remitting multiple sclerosis: a phase II, double-blind, placebocontrolled, randomised, dose-ranging study. Lancet Neurol 2008;7:796–804. [183] Sandborn WJ, Feagan BG, Fedorak RN, Scherl E, Fleisher MR, Katz S, et al. A randomized trial of Ustekinumab, a human interleukin-12/23 monoclonal antibody, in patients with moderate-to-severe Crohn’s disease. Gastroenterology 2008; 135:1130–41. [184] Leonardi CL, Kimball AB, Papp KA, Yeilding N, Guzzo C, Wang Y, et al. Efficacy and safety of ustekinumab, a human interleukin-12/23 monoclonal antibody, in patients with psoriasis: 76-week results from a randomised, double-blind, placebo-controlled trial (PHOENIX 1). Lancet 2008;371:1665–74. [185] Papp KA, Langley RG, Lebwohl M, Krueger GG, Szapary P, Yeilding N, et al. Efficacy and safety of ustekinumab, a human interleukin-12/23 monoclonal antibody, in patients with psoriasis: 52-week results from a randomised, double-blind, placebocontrolled trial (PHOENIX 2). Lancet 2008;371:1675–84. [186] Longbrake EE, Racke MK. Why did IL-12/IL-23 antibody therapy fail in multiple sclerosis? Expert Rev Neurother 2009;9:319–21. [187] Drulovic J, Savic E, Pekmezovic T, Mesaros S, Stojsavljevic N, Dujmovic-Basuroski I, et al. Expression of Th1 and Th17 cytokines and transcription factors in multiple sclerosis patients: does baseline T-bet mRNA predict the response to interferon-beta treatment?. J Neuroimmunol 2009;215:90–5.
7 Spinal Cord Injury and its
Relationship to the Development or Worsening of Clinical Multiple Sclerosis Peter O. Behan1,2, Abhijit Chaudhuri3 1
Division of Clinical Neuroscience, Faculty of Medicine, University of Glasgow, Glasgow, Scotland, UK 2 School of Life Sciences, Glasgow Caledonian University, Glasgow, Scotland, UK 3 Department of Neurology, Queen’s Hospital, Romford, Essex, England, UK
Introduction Under the principles of epidemiology, one needs to show a very high certainty— often 95%—to prove a statistical association. One must be able to say that 95 times out of 100 an experiment is performed, it will have the same result. Yet, it is important to make one vital distinction: although finding such an association almost certainly ensures a cause-and-effect relationship, the failure of an epidemiological study to detect the association with the scientist’s rigid standard of proof does not mean the link does not exist [1]. Multiple sclerosis (MS) is one of the most common causes of chronic neurologic disease in young adults. The cause is unknown and even the pathogenesis is poorly understood [2–7]. Indeed, the previously held tenet that the disorder was immunologically mediated and of autoimmune etiology has been not only questioned but also robustly challenged [3,4]. It cannot be emphasized often enough that the cause of the disease is unknown and, since its exact pathogenesis is likewise poorly understood, it is not surprising that therapeutic endeavors have met with total and abysmal failure [8–10]. This has not prevented dramatic and serious attempts at therapy, often with high mortality and morbidity [11–15]. For nearly a century the scientific community has adhered to the dogma of an autoimmune etiology and has been blinkered to the fact that experimental allergic encephalomyelitis (EAE) is not a model for the disease but for another unrelated condition in humans: acute disseminated encephalomyelitis (ADEM) [3,16]. New data using a variety of sophisticated neuroradiologic techniques show that the disease initially occurs in areas of the brain that are metabolically compromised [17], Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00007-1 © 2011 Elsevier Inc. All rights reserved.
138
Neuroinflammation
and these data, coupled with the finding of atrophy and neuronal death away from the plaque, in the normal-appearing white matter [18], leave little doubt that the illness is now best seen and considered as a neurodegenerative disorder [19,20]. Genetics clearly plays a role, but despite the most modern analysis, no specific genetic locus has been found [21–25]. Familial studies [26] and the findings of disease associations [3,27,28] clearly implicate as yet unknown genetic mechanisms in its pathogenesis. Taking these data into consideration and critically looking at the known facts surrounding MS, we are unable to understand why the longstanding and wellrecognized relationship with trauma is denied [29,30]. Evidence that other serious treatments given in error and causing gross worsening is often overlooked [31]. In accepting that the disease may be immunologically mediated, neurologists treat their patients with expensive, dangerous, immunosuppressive, immunomodulating agents [15,32–35], yet they deny that specific focal trauma may aggravate existing disease or precipitate the illness de novo in someone predisposed to develop MS [29,30]. For these reasons we have reviewed the literature on the association of specific focal trauma to the development of MS and have argued that this association is not only true but that it also provides further help with understanding the pathogenesis of the disease and aids in the development of management that may prevent further attacks.
Historical Review That MS may be precipitated de novo or worsened after trauma has been amply and well documented in the neurologic literature since the 19th century [36]. Indeed, very eminent neurologists and neuropathologists have written on this unique clinical aspect. The distinguished Edinburgh physician James Dawson, in his classical work on MS, described how one of his nine patients had suffered head trauma prior to developing the disease [37]. In the 19th century, Mendel [36] was perhaps the first to describe four cases of MS that occurred within a year following trauma. He conjectured that in patients predisposed to the disease, trauma might be very relevant. Von Hoesslin [38] found that trauma was involved in precipitating the onset of the illness in 11.4% of cases and that the trauma had occurred usually within 2 months prior to the onset of the disease. In 1946 McAlpine [39] claimed that 5.5% of his series had sustained prior trauma. Indeed, “both Von Hoesslin and McAlpine concluded that in certain cases of multiple sclerosis there can be little doubt of the close relationship between trauma and the appearance of signs of the disease” [39]. Further large series such as that of Adams, Sutherland, and Fletcher found in a study of 389 cases that trauma preceded the illness in 10% [40]. The Association for Research in Nervous and Mental Diseases in the United States also was of the opinion that “In a small percentage of cases it [multiple sclerosis] appears to be excited by trauma but trauma itself cannot cause it but may, apparently, awake a disease process potentially existent” [41]. In 1950 Keschner [42], in his classic study of 255 cases, stated that trauma
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
139
was an exacerbating and aggravating factor. A number of distinguished neurologists, including Kinnier Wilson [189] and Henry Miller [43], also held this belief. Miller reported his findings in 1964 and stated in a classic study of seven cases that “In all seven cases neurological symptoms were clearly related to the site of the injury” [43]. The cases cited in the previous paragraph are usually the ones claimed for advocating in the past this putative association. However, other cases and more detailed larger studies have been reported that in our opinion are more important since here the patients were studied not only clinically but often pathologically. They make a very strong case for demonstrating not only this unique association but also the putative pathogenic mechanisms involved. In this paper we will refer to the now-classic studies of Gonsette [44,45]. Gonsette’s seminal work has been confirmed by others, including Riechert [46], and recent magnetic resonance imaging (MRI) studies of evolving similar lesions make these findings of fundamental importance in understanding the pathologic mechanisms in MS [47]. Prof. Brinar studied a patient with MS and showed serially the development of plaques around the path of the trocar by MRI studies, thus further confirming Gonsette [44,45,47]. Other works that are monumental landmarks in illustrating this association are those of the late Lord Brain [48] and the scholarly studies of Oppenheimer at Oxford [49]. Perhaps one of the most compelling pieces of evidence to confirm this association has been the clinical studies and trials that arose from the experiments from Oxford on tuberculous meningitis conducted by the late Dr. Honor Smith [50,51]. What must be stressed here is that the findings of Gonsette, which are scientifically compelling, have been reproduced on several occasions. We have already alluded to Prof. Brinar and his studies in a patient with MS in which deformation of plaques after breakdown of the blood–brain barrier (BBB) was observed by MRI scans. A number of other reports have also confirmed that patients with MS, who have had operations on their brain to reduce tremor, have shown clinical deterioration secondary to the genesis of new plaques [52–54]. It should also be pointed out that the detail given by Prof. Gonsette appeared in two seminal papers. The first, published in 1966, gave an overview, but the second, detailed work in 1972 put paid to criticisms that new plaques were not degenerated and denied any argument that the plaques were not related to the breakage of the BBB and adjacent to the line of the trocar. The literature contains many examples of the association of trauma with MS, but it is strange to note that these up to now have never been analyzed critically. Sibley [29], for example, in his prospective study of trauma and MS (a) does not give any attention to BBB breakdown [44–46], (b) omits the critical studies mentioned [50,51], and (c) most importantly skips over the only positive finding he had in his report—that is, that there was a significant statistical association between the worsening of MS and electrical injuries [29,55,56]. We will comment critically on these neglected data since they are of an impressive number and are of extreme importance; they not only fill a niche in the natural history of MS but also give important clues as to its pathogenesis [57]. In a tortuous article Goodin [58] tried to show that there was no statistical association between trauma and the onset of MS and based his theoretical reasoning on
140
Neuroinflammation
MS having an immunopathologic foundation. The argument he puts forward, particularly mentioning the trafficking of T cells, has not been proved and is pure conjecture. Furthermore, in the paper the authors do not stress the works of Smith and Gonsette, or indeed the relationship of electrical injuries. In studying very large numbers of patients who developed MS after trauma to their thoracic and cervical spinal cord, Poser postulated that one of the major mechanisms underlying this occurrence was BBB breakdown [57,59]. This theory of Poser has now gained strong and compelling support from a wide variety of evidence. Our work therefore consists of a systematic analysis of the relationship of cerebral vessels to MS plaques, how increased permeability and BBB breakdown is the initiating and essential component of plaque formation, and how trauma can bring this about by disrupting the barrier, and it also examines the evidence both in animals and in humans of the effects of trauma on BBB permeability. Finally, the opposing claims that trauma does not precipitate MS or make established disease worse will also be analyzed critically.
Relationships of Plaques to Blood Vessels It has long been pointed out by a number of investigators that the plaques of MS bear a special relationship to blood vessels [60]. Döring was one of the first to voice the opinion that the plaques, which are found adjacent to the lateral ventricles, also have a specific relationship to blood vessels [61]. These early investigators also drew attention to the fact that the small blood vessels within plaques may or may not have inflammatory cells, but virtually all active plaques will have macrophages. Dawson, one of the first serious students of MS, showed that there was a clear relationship between the development of plaques and blood vessels [37]. “In all regions, including the cerebral cortex, the lesions are almost invariably perivenous in location. In the case of some cortical and spinal cord plaques, the central vein may be located in the subarachnoid space” [62]. The proximity of the plaque to the ventricular system and the fact that it has a central vein or venule has led many investigators to speculate about the possibility of a pathogenic agent, such as an enzyme or immunoagent, that diffuses from the cerebrospinal fluid (CSF) or blood into the brain [63]. In a serial section study, Fog [64] showed that plaques wrapped themselves around small veins over considerable distances, and it would seem that the plaque arises around such vessels [40,64]. All investigators of MS have come to the same conclusion that the plaque is based around small blood vessels, usually venules [62]. This will explain why areas rich in such venules, such as the optic nerve or cervical spinal cord, are prominent sites of MS plaque involvement.
Breakdown of the BBB in Plaque Formation The BBB was originally conceived as a rigid wall between the central nervous system and the periphery in which this barrier regulated and protected the microenvironment
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
141
of the brain. It was thought that this barrier consisted only of endothelial cells lining capillary venules and the foot processes of astrocytes. The astrocytes and their foot processes are essential for the induction and maintenance of the tight junctions in endothelial cells [65–67]. It has now been shown that the BBB is a dynamic, highly complex structure in which the astrocytes during development and life induce the formation of tight junctions in the endothelial cells. The astrocytes maintain the BBB phenotype, which is a highly complex molecular structure [65]. Indeed, the BBB may be compromised and damaged secondary to many different types of lesions, particularly metabolic changes in astrocytes. Furthermore, the BBB is a very sensitive structure, as shown by the fact that peripheral inflammation may increase its permeability, and it is now a recognized and accepted fact that BBB breakdown is the first and integral step in MS plaque formation. It is essential in maintaining cerebral homeostasis, in which it selectively transports different substances and nutrients by a variety of mechanisms, including surface transporters [65–67]. Suffice to say that its molecular structure and function are beyond the scope of this paper, except that the BBB can be damaged via a number of different mechanisms. How it is damaged in MS is unknown, but we have shown that irrespective of the precise type of damage that occurs in ordinary MS, any form of damage that opens the BBB seemingly affects the progress and development of plaques [67]. Clearly the breakdown of the BBB is not due to myelin destruction, since it has been established that there is alteration of this barrier outside myelin-containing structures during attacks of MS [68]. One of the first investigators to draw attention to the fact that these vessels within the plaque had increased permeability was Tore Broman [69,70]. In two seminal publications, he described how having removed the brain from a MS patient at postmortem, he perfused the cerebral vessels with a solution of trypan blue, followed by normal saline and formaldehyde solutions. He detected that the dye passed out and stained the tissue around pathologically altered vessels that were found to lie within the areas of demyelination. Indeed, he even commented on the “shadow” plaques— that is, he drew attention to the incomplete demyelination that seems to occur at the edge of the plaque, suggesting to him that some substance diffused through the more permeable vessel and caused the demyelination. He also showed enormous prescience in noting that there was more extensive dye passage around small ramifications than from the main trunk of the vessel. He further noted “the vessels with disturbed permeability are usually washed clean of blood corpuscles in all the ramifications and at the same time they are stained blue, which proves that there has been a perfect circulation and no obstruction by thrombosis” [69]. In discussing the possible mechanisms he quite clearly drew attention to the fact that damaged brain tissue (i.e., from an infarction or other causes of cerebromalacia in themselves) would not give rise to secondary vascular permeability: “However, only those where the endothelial layers subjected to a lesion—seems to produce a temporary disorder in the vascular permeability” [69]. It is a well-recognized phenomenon that cerebral edema can cause demyelination [71,72]. Damage to cerebral endothelial cells is also found in guinea pigs in the Herxheimer reaction with the Forssman antigen. Guinea pig brains in which cerebral endothelial cells are damaged specifically by the Forssman reaction show
142
Neuroinflammation
demyelination [73]. The Forssman antigen is a unique protein that is situated in the endothelial cells that line the brain vessels of the guinea pig, and it is also found on the kidney cells of rabbits. By taking rabbit kidney and injecting it into sheep, antibodies are produced against this protein. Toxic vascular lesions using this antibody thus cause demyelination by damaging cerebral endothelial cells [69,73,74]. Gonsette et al. [44,45] also showed in guinea pigs that by intracarotid injections of detergents, endothelial cell damage would occur. While he and his colleagues used ionized detergents, the effect was identical to that of endothelial cell damage from other causes. What is important is that the antibodies injected damaged the endothelial cells, and this resulted in the development of immediate clinical signs. The cerebral endothelial cells became swollen, perivascular edema occurred, and depending on the titer of the antibody or strength of the detergent, the animals displayed weakness or died. Further histopathologic analysis of these lesions showed them to have a clear perivascular topography, and in appearance they bore a striking relationship to other human so-called demyelinating diseases (i.e., ADEM) [16,75]. These experiments clearly show that BBB lesions play a role in determining not only the localization but also the pathogenesis of demyelination. Demyelination in both EAE and its human counterpart ADEM classically occurs in a perivascular distribution with localized edema involving an area 1–2 mm in diameter around the cerebral venules. While these experiments have been conducted in animals, they show that identical disease clinically and pathologically may occur in humans where the endothelial cells are damaged by endotoxin or a variety of other toxic processes [76]. Poser’s original idea that trauma somehow affected the BBB and as a result demyelination occurred has been amply confirmed, particularly by the large number of MRI studies that demonstrated BBB alteration in MS [77–83]. Pozzilli et al. [84] reached the same conclusion from their positron emission studies. It is now an established fact that BBB alteration occurs as an obligatory event in the initiation of demyelination in MS.
Inflammatory Cell Infiltrates The plaque (i.e., the area of demyelination) is always centered around a small blood vessel, usually a vein but occasionally an arteriole. There may or may not be a mild inflammatory infiltrate of lymphocytes in the established region. This point needs to be stressed since apart from the analogy with EAE, the claim that MS is an autoimmune disease mainly lies with the demonstration of such infiltrating cells [62,85]. Serious students of MS such as Lumsden found that the myelin disintegrated in the absence of any such cells; indeed, several investigators have shown that such cells are not present in up to 30% of all cases [63,69,86–89]. Dawson [37] noted initial myelin pallor when the lesion contained only lipid-laden macrophages. Electron microscopic studies have strongly suggested that the myelin breakdown is also concomitant on the presence and arrival of infiltrating macrophages [62]. Inflammatory cells are not seen in these early MS lesions [62].
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
143
However, some lymphocytes may be a normal occurrence in the perivascular spaces. Similar infiltrates, in fact often greater than that found in MS, may occur in a wide variety of pathologic conditions, including trauma, infarcts, and tumor and following infections [89–91]. “The number of lymphocytes that leave the perivascular compartment and enter the parenchyma is very small, both in absolute numbers and relative to the number of macrophages present” [62]. Similarly, lymphocytes are found in a large number of conditions that have no bearing on immunologic etiology, such as adrenoleukodystrophy and amyotrophic lateral sclerosis, and may be found years later in the brain and spinal cord of patients who have previously had poliomyelitis [89–92]. Furthermore, doubt for a pathogenic role for inflammatory cells is seen in patients with MS who have inflammatory cells in parts of their brain that contain no myelin, such as the retina and in areas away from plaques [68,85]. As we have pointed out, “Reliance on the presence of these mild inflammatory infiltrates as the prime pathological process in the disease therefore seems to be totally unfounded” [3,4].
Astrocytic and Other Cellular Changes The initial hypercellularity in the plaque is due to the proliferation of astrocytes and infiltrating microglia. The gliofibrillogenesis begins simultaneously with demyelination. Often astrocytes here show gross hypertrophy. With breakdown of the myelin into “myelin balls,” there is an associated vigorous astrocytic response, and this may be the earliest pathologic abnormality observed in demyelination [62,63]. We know that microglia appear not to be involved until there is breakdown of myelin, whereas reactive astrocytes appear almost simultaneously to the myelin disintegration [37,63,85]. Several authors have commented on this remarkable response of astrocytes in MS. Indeed, “Simultaneously gliofibrillae appear and there is astrocyte swelling. Such changes in astrocytes bear a relationship to the mechanism of the development of a glioma” [3]. Both Lumsden and Dawson [37,63] thought that demyelination occurred first and then simultaneously there was astrogliofibrillogenesis with involvement of the microglia and hematogenous cells and lastly invasions by scant lymphocytes. It cannot be stressed enough that astrocytes are cells that usually reflect abnormalities of metabolism, whether they be primarily local or systemic. The function of these cells is yet incompletely known, including their methods of division; indeed, their division on tissue culture is atypical [93]. What is known is that in demyelination, there is a dramatic alteration in their number and morphology. The accumulating data leave little doubt that they are intimately involved in the process of demyelination. They also play a role in controlling the BBB [65–67].
Effect of Trauma on the BBB There is a vast literature on the effects of trauma to the head and neck in animals and humans.
144
Neuroinflammation
Poser cites Gudmundsson, who in 1955 noted the appearance of Evans blue at the superior angle of the lateral ventricles of the rabbit brain that had been subjected to a mild concussional trauma to the parietal lobe (unpublished observations) [94]. Further and more detailed studies were carried out by Ommaya et al. [95] at the National Institute of Neurological Diseases and Blindness in the early 1960s. These authors looked at monkeys in which their necks were protected or free, who were then subjected to trauma. This allowed them to measure the degree of brain damage with particular reference to the presence or absence of cervical mobility. The animal brains were studied by cerebral angiography in the acute post-concussive phase, and BBB breakdown was also measured by injecting sodium fluorescein; the authors measured both the patterns and the degree of fluorescence. They showed that the BBB was broken down at a distance from the site of trauma. When the monkeys did not wear a cervical collar, the BBB was seen to be broken down in the medulla oblongata and in the cervical cord. These experiments were repeated and confirmed by Rinder and Olsson in 1968 [96]. Other researchers, including investigators in Glasgow, showed that BBB breakdown occurred with disruption of endothelial cells in the white matter of baboons which were subjected to lateral head acceleration movements [97]. Again, similar observations in humans had been made by the Oxford neuropathologist Oppenheimer in 1968 [98]. Following these seminal papers, a number of researchers carried out studies of experimental concussional trauma to the spinal cord of animals [99–101]. Their findings revealed that the BBB was broken down, a finding that had been studied using the electron microscope by Bakay et al. [102] in 1977. In essence, therefore, with the use of quite gross microscopic techniques such as the visual demonstration by fluorescence of fluorescein injected compounds and the visualization of Evans blue and other dyes in the brain, such findings hint at quite a marked disruption of BBB function. “However, as is the case with the clinical aftermath of concussion in the human, it is now well recognised and established fact, that even small degrees of head injury can produce concussion that may not be visually demonstrable by such techniques, but its occurrence in whom is accompanied by definite clinical abnormalities” [102]. An elegant study by Lossinsky et al. [103] showed that in the mouse there was permeation of intravenously administered horseradish peroxidase (HRP) through the endothelial cells of small vessels in the brain following different degrees of concussion. Kobrine et al. [104] showed similar findings when they carried out critical experiments on rhesus monkeys in which the trauma was directed at the cervical spinal cord. Perhaps one of the most compelling studies of the effect of trauma, as one finds in whiplash injury in humans, was that demonstrated by Domer et al. [105] in 1979. They induced hyperextension injuries identical to whiplash injury in humans in the monkey, which produced breakdown of the BBB in the cervical spinal cord and also in other areas of the brain far removed from the site of injury [105]. In other words, the lesions that occur in which the BBB permeability is increased are found not only at the site of injury, as one would expect in whiplash injury, but also away from the spinal cord, in the brain stem and cerebral hemispheres. These findings explain why new MS plaques occur in such areas away from the direct site of focal trauma. It readily explains such symptoms as optic neuritis.
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
145
In 1978 and again in 1982 Povlishock et al. [106,107] confirmed by sophisticated techniques that the BBB is broken down after varying degrees of trauma. These experiments and others cited have proved beyond doubt that “Increased vascular permeability resulting from local tissue injury has been an established concept. This leakage is presumably due to direct tissue injury and secondary release of endogenous compounds which contribute to continuing permeability” [99]. Clearly in the human, experimental studies such as those reported for animals cannot be carried out, but a number of clinical, postmortem situations and radiologic studies have shown that what occurs in animals under experimental conditions is exactly referable to the findings in humans after trauma. Perhaps the best evidence for this is seen in patients who have serial MRI studies carried out following trauma [77–81,98]. The ultimate sophisticated technique (i.e., positron emission tomography [PET]) has also been used to confirm the findings reported in humans and also in animals [83]. The brain of fatal cases where head injury had occurred showed similar findings on detailed microscopic examination [98,108,109]. Another important feature is that the concussion need not be severe to bring about clinical and pathologic events; indeed, minor whiplash injury may be very effective in causing BBB breakdown in humans, with resulting clinical effects. This was well recognized by Ommaya, one of the most eminent investigators in the field of head injury. In 1968 he stated, “Direct impact to the head is not necessary for brain injury; whiplash injuries can also cause brain damage” [95]. Flanders et al. [110] found that “The degree of the associated bone and soft tissue injury has no bearing on the extent of the spinal cord injury or neurologic deficit”. Anatomically these lesions produced by trauma are not only superficial but also occur deep in the cerebral white matter, a finding that has been amply demonstrated by MRI [108,110–112].
Studies of Stress on the BBB “Stress may be defined as the cumulative, biological reaction mounted by an organism in response to acute or chronic noxious stimuli—which may be physical or psychological, i.e. toxic, infectious, chemical or traumatic” [113]. In looking at whiplash injury, one first has to consider the localized effects of daily minor trauma on the cervical spinal cord [49,114]. These latter references contain many citations as to the various mechanisms by which trauma to the cervical cord may damage the BBB. Studies in monkeys have also demonstrated that such specific trauma can cause BBB breakdown not only locally but also generally throughout the brain, particularly in the areas surrounding the ventricles posteriorly [105]. Whiplash injury occurring unexpectedly and associated in the majority of cases with acute trauma to the neck and often to the body and head, with severe emotional upheaval, due to a car crash and the possibility that others might be injured, can clearly be construed as a very severe form of acute, physical, psychological, and specialized stress to the nervous system. Stress has long been shown to have a deleterious effect on MS, and indeed such a view has now become acceptable to those who earlier denied any relationship between such trauma and the development of MS [58].
146
Neuroinflammation
The body therefore can clearly be expected to demonstrate the many changes that occur during acute stress, and of particular importance in this regard has been the recent findings that acute stress, even of a mild nature, may not only cause BBB changes but may also affect the hypothalamic-pituitary-adrenal axis (i.e., the main governing brain apparatus for controlling steroids). Such stress can also cause changes in gene expression for the production of essential neurotransmitters and other peptides involved in brain metabolism [115]. Recent research, particularly from Israel, has shown that following acute stress, changes occur in gene expression in nerve cells; such genes control the expression of a variety of different neurotransmitters, including acetylcholine [115]. Stress-induced changes in the expression of neurotransmitters in turn influence the expression of other neuronal genes affecting the production of almost all neurochemicals and their metabolites. Those most widely studied have included the biogenic amines, neuropeptides, and inhibitory amino acid neurotransmitters and their receptors [116,117]. Of the neurotransmitter systems, serotoninergic transmission is thought to be the most sensitive in stressful situations, its metabolism being altered in the central nervous system [117]. 5-hydroxytryptamine is known from a variety of studies to be involved in increasing BBB permeability [117–120]. Furthermore, trauma is one of the events that produce changes in the level of cytokines, and these are considered to be involved in the pathogenesis, initiation, and continuation of demyelination [121,122]. There are innumerable papers showing that trauma may be associated with elevation in the serum and in the CSF of different cytokines [121–127]. The production of IL-6, a specific cytokine, is increased in many brain diseases, particularly MS, and such cytokines are increased after trauma [128–131]. Of enormous interest is the fact that trauma to the cervical spinal cord may be followed not only by demyelination in that area but also widespread demyelination throughout the nervous system, particularly periventricularly in the occipital horns. One wonders, therefore, what might be the scientific explanation for the widespread distribution of demyelination found in humans after cervical whiplash injury when the predominant area of focal trauma is to the cervical spinal cord. There is now compelling scientific evidence, gleaned particularly from animal experiments, that lesions of the cervical spinal cord are associated with more widespread lesions throughout the brain [105]. Domer et al. [105], in their experiments on monkeys, showed that the lesions were widely distributed throughout the brain and were not only found in the areas damaged by the hyperextension/hyperflexion injury. Furthermore, Schmidt and Grady [132] found that specific lesions to the brain produced diffuse generalized BBB breakdown in the rat. Tanno et al. [133] found similar abnormal permeability of the brain vessels to microinjected IgG and HRP after focal injury to the rat: the lesions occurring in the brain were generalized and widespread, involving both hemispheres. It is known that cytokines will increase the permeability of cerebral blood vessels. Further evidence that cytokines may be the mediators after this type of injury was shown by findings of increased tumor necrosis factor (TNF) and IL-6 in the CSF of 14 patients after head injury [134,135]. Indeed, patients with MS who have head trauma may show an increase in cytokines and new plaques [136].
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
147
Stress and its effect on the brain have always been of extreme importance in relation to MS. Indeed, emotional stress “antedating the onset or relapse of disseminated sclerosis was considered even (in itself) to be occasionally of significance”… “A significant number of patients with disseminated sclerosis stated that an emotional stress, often of a specific nature, led invariably within the lapse of a minute to an exacerbation of symptoms due to a pre-existing lesion” [137]. How stress might cause far-flung physiologic and pathologic changes in the nervous system has been the subject of many international conferences and meetings— for instance, “New Frontiers in Stress Research: Modulation of Brain Function” [117]. In this book distinguished scientists report that the effect of stress is farreaching. Whereas years ago clinicians could only conjecture from clinical findings that stress could aggravate diseases, now we have cumulative scientific evidence to show, using modern molecular biologic techniques, that after acute stress significant chemical changes take place in the brain, with BBB breakdown and even the alteration in a bidirectional way of gene expression controlling central neurotransmitters [117]. These data have been further analyzed in recent papers that are pertinent in this regard [116,117]. In addition, the effect of stress has been analyzed in humans and in animals for its neurobiologic and pathologic effects. In a seminal study, soldiers in the Gulf War exposed to stress had a leaky BBB; drugs given to them that normally did not cross the BBB were found to do so after stress [138]. This work highlighted the fact that BBB breakdown under stress would allow substances within the intravascular space to enter the brain and cause abnormal brain function [139]. A very important series of experiments were carried out in 1996 in which mole cular biologic changes in the brain of animals subjected to varying degrees of stress were studied [115]. The stress was minimal to moderate (animals were made to swim in cold water) and the subtle but definite changes in the nervous system were measured. They were found to have alterations in the level of neuronal c-fos oncogene expression and in the messenger RNA levels for acetylcholine, one of the most important neurotransmitters of the brain. Further studies showed that after acute traumatic stress, a robust cholinergic response triggered rapid induction of the gene in coding the transcription factor c-fos. “This protein then mediates selective regulatory effects on the long-lasting activities of genes involved in acetylcholine metabolism” [115]. Here, in the central nervous system of small animals one could see as a result of stress not only BBB breakdown but also changes in gene expression for neurotransmitters. Similar changes in the BBB due to stress have been demonstrated in humans and even in patients with MS in which serial MRI and CSF cytokine studies were carried out before and after head injury [136]. Further studies by Otte et al. using single protein emission computed tomography (SPECT) scans demonstrated that there were significant metabolic changes in the brain following whiplash injury [140,141]. Studies done on patients with whiplash injury again have a particular significance since they show that after whiplash injury, changes occur not only at the spinal cord but also in the rest of the brain. One such study demonstrated that six of seven patients with whiplash injury had significant metabolic changes in the brain involving parieto-occipital hypoperfusion [137,142]. The hypoperfusion and hypometabolism was localized by Single Protein Emission Computed Tomography (SPECT) scanning to watershed zones
148
Neuroinflammation
between the territories of large cerebral arteries. Additional studies showed that hypoperfusion and hypometabolism occurred in the posterior part of the brain secondary to whiplash injury [139,140]. These data demonstrate quite clearly that the lesions in the cervical cord after whiplash injury are often associated with more extensive lesions throughout the brain, and this may explain why lesions are not confined to the cord after whiplash injury but may extend to other parts of the brain [139,140].
Studies Showing that the Site of the BBB Breakdown is related to the Formation of New Demyelinating Plaques One feature that MS shares with EAE is that demyelinating lesions may be made to occur at a particular specific site. A possible pathogenic relationship between trauma and demyelination was demonstrated in 1955 and 1957 after investigators placed electrolytic lesions in the cerebral cortex and white matter of guinea pigs and rabbits several days a week following injection of spinal cord suspension and adjuvant to produce EAE [143]. In the animals which later developed EAE, lesions were found to occur adjacent to such electrolytic lesions, demonstrating that these lesions served as adequate stimuli for a local exacerbation [143,144]. These experiments were elaborated on by Levine, who produced in 1968 the same results by placing a heated electric soldering iron on the exposed but intact skull of the experimental animals; the EAE lesions were noted to cluster around the zone of coagulation necrosis [145]. This area corresponded to a BBB alteration, and this is extremely important since we now know that trauma is one of the causes of such BBB alteration. In 1972 Lumsden [146] had proposed that MS shares with EAE, in terms of their respective pathogenesis, one major characteristic: an initial BBB alteration. This shared effect of BBB breakdown needs to be looked at carefully. Since EAE is a cellmediated immune disorder, increased permeability will occur at the site of injury as part of the normal reaction (i.e., physiologic), when sensitized cells come in contact with the putative antigen. Simply because the BBB is broken down at focal points in MS does not mean that such breakdown occurs for the same pathogenic reason as in EAE. Indeed, failure to grasp this important point may lead researchers to group the two reactions as identical when, in fact, the BBB breakdown in EAE is a direct explicit example of an immunologic reaction, while in MS the exact mechanism of breakdown is not known. It most probably does not even reflect an immunologic reaction and is likely to be mediated via an astrocyte-metabolic process [147]. The accumulating data suggest that the BBB breakdown is secondary to metabolic change in astrocytes that induce an increased oxidative metabolic demand. This increased metabolic demand with impaired substrate supply causes further breakdown of myelin, particularly if that myelin is genetically abnormal [148]. Rather, as is universally claimed, than some factor diffusing out from the damaged blood vessel and causing demyelination, it may simply be more likely that oxygen and other metabolites that are needed are impaired from getting to the region required, and hence demyelination occurs in a metabolically compromised area.
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
149
The molecular assembly of the BBB is a very complex structure and its mode of action is not fully understood. Clearly the endothelial cells and their tight junctions are enormously important, but likewise there is a most important contribution from astrocytes, so that the idiopathic BBB breakdown that occurs in MS could be mediated via either cell. Irrespective of the precise cause of breakdown of the barrier, once this barrier is broken down in a patient with a diathesis to develop MS, the breakdown initiates formation of new plaques. It is most important to look carefully at the whole concept of the BBB. We know that in mammals, including humans, the permeability of the small vessels in the brain is different from that of similar vessels throughout the body. In the case of the brain, it is extremely important that substances traversing and passing through the brain in its blood vessels do not get out through these blood vessels, since many substances already in the blood would damage the sensitive metabolism of neurons and other nerve cells. Substances such as oxygen, glucose, and certain ions are allowed free passage, but other substances, including toxins, large molecules, bacteria, and viruses, are actively excluded. The blood vessels of the brain are different from the blood vessels in the rest of the body by having complex junctions between the endothelial cells (i.e., the flat cells that line the blood vessels throughout the body and the brain). In the brain, where the cells join onto each other is an extremely complex area and what a few years ago was considered a simple apposition of cells to each other is now known to be a most complex biologic structure with many different proteins and structures, each having specific biologic functions. To see how this comes about, one must look at the BBB development. Initially, the serosal (i.e., endothelial) cells join each other and, due to a substance produced from adjacent astrocyte cells, where these cells join each other they develop a complex biologic structural assembly. Healing of the BBB would then be assumed to have a beneficial effect. This most likely occurs with natalizumab as one of its actions, but the “repair” to the barrier is likely to be incomplete and to hinder normal cellular traffic. This may help to explain the fatal complications that may occur in patients with MS, who develop progressive multifocal leukoencephalopathy after being treated with natalizumab, and may also explain the reported possible beneficial effect observed with beta-interferon [14,149]. The treatment for severe tremor occurring in MS has often in the past been stereotactic destruction of certain parts of the brain. These observers noted fresh MS lesions adjacent to and surrounding needle tracts. Since needle tracts had damaged the BBB, this had resulted in new lesions of MS (i.e., lesions induced by trauma). Such needle tracts were examined in other patients without MS (e.g., patients with Parkinson’s disease), but they did not develop lesions of MS, although their BBBs were broken. These observations have been confirmed by others and even by serial MRI studies in such patients [46,47]. Lord Brain noted that cervical spondylosis (i.e., arthritis of the neck bones) may be associated with MS. He suggested that “the effect of cervical spondylosis upon the spinal cord may be to make it more susceptible to the lesions of MS at that level” [48]. He and his colleagues found that when they looked at such patients who had died (i.e., patients who had both cervical spondylosis and MS), at postmortem there
150
Neuroinflammation
were often wildly disseminated plaques of demyelination (i.e., MS) throughout the brain and particularly in the spinal cord, where the changes were conspicuous in the cervical segments at the levels where spondylosis had occurred [48]. Lord Brain’s findings have been confirmed in other studies [150]. Oppenheimer made a study of this phenomenon [49]. He examined the spinal cords of 18 such patients with MS and found that the cervical portion had twice as many plaques as other parts of the spinal cord. He put forward a theory that this part of the cord under normal conditions had mild degrees of trauma inflicted during flexion and extension, but particularly in someone who has cervical spondylosis, the effects of this trauma would be increased. The degree of injury can vary from slight to severe, but the important aspect is that the mechanical stress is directed at the cervical and thoracic spinal cord [49]. He clearly demonstrated that the lateral portions of the spinal cord, which are close to the attachment of the dentate ligaments (ligaments that would be stretched in a whiplash injury), are the predictable sites of MS plaques, and postulated that it was the effect of trauma upon the permeability of the venous wall that led to the subsequent plaque formation [49]. MS plaques occur around small veins, and damage to such veins resulting in an increased permeability may precipitate MS in a predisposed person. Investigators have provided abundant evidence that such capillary hemorrhages can often be seen in brains after even minor trauma, which may result clinically only in mild concussion [109]. Since the BBB has been demonstrated conclusively to be damaged as one of the initial features of MS, breakdown of the BBB following specific focal trauma is very important. This breakdown has been shown conclusively to occur in a large number of studies both in humans and in animals, where the brains of animals after different types of even minor injury were examined [84,98,105,108]. Investigators found an extravasation of HRP into the vessel wall, and the surrounding brain tissue showing definite increased permeability. They further found localized destruction of the endothelium in close proximity to the marginal lines between endothelial cells. As Poser stated, “it would therefore appear reasonable to suggest that when the brain or spinal cord of a MS patient is injured, the area of injury becomes a potential nidus for new lesions; should such an injury involve an area in or near an existing plaque, the latter might be reactivated and/or enlarge and become symptomatic. Conversely, should a patient develop MS after an injury to the nervous system, plaques might be expected to develop in that vicinity. Even minor trauma may be important” [109]. Some of the most important observations on the relationship of BBB breakdown to the development of MS are those made by Gonsette et al. [44,45]. These researchers, in a paper discussing an experimental demyelination produced in guinea pigs by the injection of various concentrations of detergents, described the findings in three patients who had died after undergoing stereotactic surgery. The postmortem studies were carried out by the neuropathologist Dr. O. Perier. The authors employed stereotactic destruction of the thalamus to reduce the severe intention tremor of some patients with MS and Parkinson’s disease. The technique had been used particularly in France and was found to be generally satisfactory. Their observation that the patients all deteriorated clinically after this operation is extremely significant [44,45]. This is in accord with the experiences of Prof. Dorothy Russell, Kelly, and
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
151
Oppenheimer [151–153]. It is important to stress that there was clinical deterioration in these patients after the procedure; as the authors state in reviewing the report of the neuropathologist, “His observations not only confirm our clinical impression of post-operative deterioration by reactivation or formation of plaques but introduce some particularly interesting ideas concerning the problem of the relationship between sclerotic plaques and lesions of the blood–brain barrier” [44]. Their neuropathologic examination was most thorough and detailed: “In each of our three cases, Perier finds sclerotic plaques in direct contact with the area of stereotactic destruction or in the path of the trocar. Knowing that this mechanical destruction of the cerebral parenchyma inevitably leads to the impairment of the blood–brain barrier, it is possible to suppose that the myelinotoxic substance circulating in the serum of these patients has penetrated the nervous tissue and exerted destructive effect. The change in the blood–brain barrier cannot by itself account for the demyelinisation, because the numerous anatomico-pathological tests on the Parkinson’s patients who have been operated on by stereotaxy, show very different and clearly less important attacks on the myelin. In no case did the lesions recall the typical images encountered in MS” [44]. The authors go on to state, “It would also be quite surprising that in each of our three cases, the trocar should end by chance in the centre of a sclerotic plaque” [44]. They claimed that their clinical observations permitted them to affirm that there was a lesion in the BBB in the area of the plaque, and they also put forward arguments favoring their hypothesis that changes in the permeability of the cerebral vessels precede the formation of demyelinating plaques. This determines both plaque formation and topography. In 1973 Riechert et al. [46] described two patients with MS in whom stereotactic treatments for motor and tremor disturbances were carried out. The first case was a woman who developed MS at age 25 and at age 33 had one of two stereotactic coagulations performed. The first procedure resulted “in the permanent improvement of the intention shaking and myoclonus on the right side.” However, 1 year later she required a further treatment on the other side, and this had the immediate effect of 80% relief. “One week later, however, an apraxia of swallowing and aphonia developed, and impulsion decreased. As a result, the patient could no longer be induced to sit up, to stand upright or to do physiotherapeutic, although the 80% relief of the intention tremor continued.” The patient developed pneumonia secondary to her neurologic deterioration and died [46]. A postmortem was performed by Prof. Pliess of the Pathological Institute, Nurnberg. He found that “the electrode track is through a multicystic focus of destruction of nervous elements with a scarred shrinkage surrounded by a complete demyelination with irregular borders … The fresh foci—only 2 weeks old—have damaged and functionally incapacitated the nerve cells of these structures and thereby disrupted the central regulation of circulation and respiration which led to the fatal pneumonia … However, the foci and the needle track are surrounded by even larger zones of demyelination than in the previously described left hemisphere … Because the clinical progression started approximately one week after the last operation, the very fresh encephalomyelitic alterations are also related to the second operation
152
Neuroinflammation
which led to death by aspiration pneumonia … The demyelinations on the margin or in the vicinity of the electrode track suggest that the penetration of the electrodes has induced new relapses of the encephalomyelitic demyelinating process. It is less probable that these relapses are spontaneous.” Like Gonsette et al., Riechert too observed the undisputed clinical deterioration in his patient [44–46]. Riechert’s second case was rather difficult, in that it concerned a 50-year-old man with a developmental lesion and only a possible diagnosis of MS. His “MS” was not diagnosed until autopsy; clinically and pathologically it is doubtful if this case was true MS. The patient also had Parkinson’s disease. In discussing the two cases, the authors stated, “The second has clearly shown that a stereotactic intervention does not necessarily precipitate new demyelination around the coagulation focus and electrode track. However, the first case reveals that this has indeed occurred” [46]. In case 5 of the pathological cases described in Dr. Oppenheimer’s MD thesis, he described the clinical effects of performing a brain biopsy in a patient with existing MS [153]. He stressed “more significantly, the biopsy site was the only place in the brain where intense, active demyelination was observed at autopsy” [153]. Surgery to obtain the biopsy was carried out some weeks prior to the patient’s death. In other words, the biopsy specimen that was removed was entirely normal, there being no MS in it, but as expected the operative site caused BBB breakdown and proved to be the site of new demyelination. This would explain that after an interval, fresh plaques occurred. These findings in this fatal case in whom a postmortem was carried out show that the procedure of cortical biopsy broke down the BBB, and in this patient with existing MS, it then caused activation there of her disease. These findings should be compared and contrasted to those of Gonsette and the confirmatory studies of Riechert in 1975 [44–46] and those cases where a similar procedure was examined by MRI [47]. Prof. Dorothy Russell mentioned a case in which she had performed a postmortem in the Radcliffe Infirmary at Oxford (i.e., RIPM No. 384-43 cited by Oppenheimer): “This was of a woman of 59, previously well, who after a not very severe head injury was grossly confused, and developed a spastic triplegia, with hemiballismus in the remaining arm. She died after five weeks and was found to have numerous plaques of MS. Microscopy showed these to be of long standing: in addition, there was widespread, diffuse presumably recent breakdown of myelin sheaths, not only in the vicinity of a contusion in the temporal lobe, but in the seemingly undamaged regions of the thalamus and the brain stem” [153]. Russell [151] commented, “such cases serve to show both that the disease is even commoner than is generally suspected and also that these subjects may react catastrophically to any interference within the central nervous system” (as after an operation). Sibley et al. [29] did not critically analyze another two patients in his own series who had had thalamotomies and were not regarded as exacerbations, although “both had progressive disease before, as well as after”. In relating his experience of such patients who had brain surgery, Kelly [152] suggested that those with MS tolerated major surgery on the brain very poorly “and everyone of the 14 personal patients who had been subjected to thalamotomy have had a severe exacerbation within three weeks of the operation”. Clearly the two patients in Sibley’s study are important in this regard. Kelly also, in a unique study of 980 cases, found 65 who had had a significant relapse or deterioration after trauma greater than that experienced in daily life.
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
153
He further stated, “14 patients involved in road traffic accidents or falling downstairs or out of a tree or being mugged in the street similarly have experienced such a relapse” [152].
Effect of Electrical Injuries in the Precipitation or Worsening of MS Sibley et al. [29] noted in this study that attacks of clinical worsening of MS were often precipitated by electrical injuries. This occurred in 17 cases of their series and was found to be highly statistically significant. These findings, however, were not discussed in detail, nor was the pertinent literature on this important topic reviewed. As long ago as 1959 investigators began investigating the effect of convulsions on the BBB. Investigators at that time were interested in the fact that lipoid substances such as chloroform and alcohol penetrated the BBB rapidly, ions such as sodium and potassium passed more slowly, and large molecules such as dyes and proteins passed through the normal barrier extremely slowly. It was observed from previous studies that repeated convulsions would increase the BBB permeability, and clearly such data were significant when studying patients with epilepsy [154,155]. BBB permeability could be evaluated in animals by techniques measuring the rate of passage of radioactive iodinated human serum albumin (RIHSA) from plasma to CSF. Using this technique, hypoxia had been demonstrated to increase the permeability in dogs after giving them a drug (i.e., Metrazol) or applying an electroshock to induce seizures. BBB permeability was increased 25 times that of normal controls following such treatments. How seizures produce this particular BBB breakdown was then unknown, although some suggested that there was a definite decrease in oxygen saturation with seizures [154–157]. By the late 1970s an enormous amount of research data had accrued on the BBB breakdown that follows epileptic seizures. Techniques measuring the uptake of dye, cocaine, HRP, or radioactively labeled albumin were used, and all demonstrated that there was an increase in permeability following electrically induced seizures. Investigators then studied patients, particularly those with endogenous depression receiving electroconvulsive therapy (ECT). It had been demonstrated that the cerebral blood flow rose by as much as 120% during seizures, and this was confirmed looking at the cerebral blood flow and brain metabolism in human during ECT [154,155,157]. In 1961 Lee and Olszewski [158] demonstrated that BBB breakdown was specifically determined as a feature of the seizure activity itself, thereby excluding, as previously thought, the effects of hypoxia and anaerobic muscle metabolism. In other words, seizure activity from whatever cause increased brain vascular permeability. It became clear that a number of dynamic events were taking place during electrical seizures, namely increased cerebral blood flow, loss of autoregulation of vessel size, increased permeability of cerebral capillary vessels, and some changes in anaerobic metabolism and in oxygen utilization. This electrical activity in the brain increased the BBB permeability. The condition appeared to be reversible after a time interval, and this was demonstrable in both animals and humans [156,157].
154
Neuroinflammation
As might be expected, MRI, the most powerful tool for investigating pathologic changes of brain tissue, was applied to the study of ECT in humans. During T1 (longitudinal) and T2 (transverse) relaxation times both before and after ECT, it was possible to determine the increase in brain water and hence the BBB breakdown [158–160]. Two investigations demonstrated an acute reversible increase in the mean T1 of the brain after ECT; the authors interpreted this as a temporary BBB breakdown. This interpretation was clearly supported and based on the observations that (1) electroconvulsive shock and ECT causes BBB breakdown in animals, (2) BBB breakdown increases brain water content, and (3) brain water content correlates with such T1 findings. Similarly, the T2 relaxation time was positively correlated with BBB breakdown. “Electroconvulsive therapy therefore increases the brain water content secondary to breakdown of the blood–brain barrier” [160,161]. Since changes in affect (i.e., mood) are very common in patients with MS, and since MS patients often have serious clinical depression, it is evident that many MS patients would need to be treated with ECT. ECT has been carefully studied for its effect in such patients. “Several reports have now shown that patients with MS who are depressed may have an acute neurological deterioration following electroconvulsive therapy” [55,56,161]. There have been a large number of reports of ECT in patients with MS [55,56,161]. In one study patients were evaluated with gadolinium-contrast MRI scans prior to receiving ECT [56]. This allowed the investigators to measure the BBB status, since gadolinium in a paramagnetic contrast agent can cross the BBB when it is broken down [56,162]. This is the standard technique used for studying MS plaques to show the disease activity status, since in the early stages of plaque formation there is definite, undisputed BBB breakdown. Mattingly et al., in studying patients with MS receiving ECT, describes some who deteriorated following this treatment. One of their patients, patient 2, after the fifth treatment of ECT became disorientated and had impairment in his ability to concentrate and “His neurologic status markedly deteriorated. The patient began dragging his left foot and demonstrated weakness of his right medial rectus. He also became incontinent and an intravenous pyelogram revealed a large post-void residue” [56]. Because of the dramatic deterioration in his clinical status ECT treatment was stopped. At the 6-month follow-up he remained incontinent of urine and still had paresis of his left leg. A review of the 12 previous reported cases of ECT in patients with MS showed that two other patients developed severe neurologic deficits during treatment [56]. To date, there have been 15 reported cases of ECT given to patients with MS; 20% of them have developed neurologic deficits during treatment. According to the authors, “It seems unlikely that 20% of patients would develop such severe deficits during the limited time frame for a course of ECT” [56]. The authors went on to state, “Individuals with MS appear to have an increased risk of developing focal neurological deficits during the course of ECT, and patients with gadolinium-enhancing lesions may be at even greater risk” [56]. The finding by Sibley of 17 patients whose condition had deteriorated following electric shock and the many other reports of similar worsening makes, in view of these data, a very pertinent and important observation that cannot be dismissed as having no significance. Its importance is highlighted by the fact that here one has a good example of damage to the BBB, and it should be noted that there are various
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
155
studies of both motor neuron disease and Parkinson’s disease where clinical deterioration occurs following acute electrical injuries [163,164], thus supporting the idea that MS is a neurodegenerative disease [20].
Therapeutic Trials of Breaking Down the BBB in Patients with MS Dr. Honor Smith and colleagues at Oxford University were particularly interested in the BBB in their treatment of patients with tuberculous meningitis. Their studies, carried out predominantly during the 1950s, were aimed at methods that would break down the BBB for the sole purpose of allowing drugs, mainly antituberculous ones, to gain access to the brain from the vascular space. To study the BBB they measured the bromide index—the amount of bromide per unit/volume of serum divided by the amount of bromide per unit/volume of CSF. In normal individuals with an intact BBB this ratio is 1.95–3.39, but inflammation of the leptomeninges (i.e., the membranes covering the brain) facilitated passage of many substances, including bromide, from the blood to the CSF, with a reduction of the index. They therefore induced a sterile meningitis by injecting tuberculin into the intrathecal space in patients who, by means of natural infection or by vaccination, were intensely sensitive and allergic to the tuberculin protein. This intrathecal injection of tuberculin in such sensitized patients, of course, caused massive breakdown in the BBB [50]. Basically, the idea was to take a normal person who previously had been exposed to tuberculosis and was as a result sensitive to tuberculin protein and to inject tuberculin into his intrathecal subarachnoid space. Over the next 48 h after the injection, patients would develop an intense allergic reaction of inflammation of the meninges to the injected tuberculin, with resultant BBB breakdown. This sterile meningitis caused an increase of white cells (i.e., marked CSF pleocytosis). The researchers found a two-wave cellular infiltrate reaction, initially an outpouring of polymorphonuclear leukocytes into the CSF and then a secondary reaction in which there was an increase in lymphocytes; overall there was a gradual increase in the protein content of the CSF secondary to a breakdown of the BBB. This caused a transudate of serum proteins from the blood into the CSF through the damaged barrier. This was an important reaction to study, and indeed Smith et al. considered that this reaction might have enormous importance in treating patients with meningitis or inflammation of the brain by allowing more specific drugs to cross the BBB and hence enter the brain tissue [50,51,165]. Their initial intention was to develop a method that could deliver drugs into the brain tissue more effectively. Furthermore, they were able to look at the effects of different substances, including antihistamines and steroids, for their healing properties on meningitis when the BBB was broken. By studying this reaction (i.e., producing a sterile meningitis), they were able to show that bromide and penicillin crossed the barrier more easily. These observations on the effect of natural meningitis and induced experimental meningitis on the passage of drugs from the blood to the brain due to the resultant BBB breakdown were
156
Neuroinflammation
of potential importance in treating patients with different types of meningitis, particularly tuberculous meningitis. Two years later, in 1957, she and colleagues reported their observations of carrying out this method in patients with MS [51]. These patients had become sensitized to tuberculin from natural infection and it was “inferred” that in MS, an alteration in formation and flow of the CSF and of the blood–CSF barrier, such as occurs in meningitis, might influence the course of the disease for the better [166]. They showed quite clearly that “the reactions markedly and constantly increase the permeability of the blood-CSF barrier” (i.e., as occurring after the injection of purified protein derivative [tuberculin]) intrathecally (i.e., into the CSF space). This reaction, in their words, not only increased the hyperemia of the leptomeninges but also affected the perforating vessels of the brain stem. “In their preliminary studies these researchers thought that some patients with MS having been given intrathecal tuberculin improved. Indeed, so impressed were they by the claims of a causal relationship between treatment and improvement that they carried out the study in over 280 patients. These Oxford investigators hinted at but did not give specific details of improvement” [166]. However, their suggestion that this technique might be important led other workers to repeat such experiments. Marshall and O’Grady studied 17 patients with MS, 9 patients with motor neuron disease, 3 with Huntington’s chorea without dementia, and 3 with Parkinson’s disease, all of whom were sensitive to tuberculin [167]. They recorded the clinical response as “this was characterised by headache, neck stiffness, fever, vomiting and in many cases drowsiness.” Curiously, these latter authors were interested in the immunologic and cellular response and gave little clinical details of how the patients behaved. They did, however, give some indication that the process was not without complication since “loss of sphincter control is especially common and in the patients with MS may persist for several weeks.” Kelly and Jellinek [168], having read the works of Smith, where they found “a hint of prolonged remission in disseminated sclerosis,” “felt obliged” to carry out further experiments to look for confirmation of this beneficial effect. They selected 20 patients with classic MS and noted, as had the previous workers, a febrile reaction with meningeal irritation in 19 of the 20 intrathecally injected subjects. Nine patients experienced “exacerbation of their symptoms and signs and six required catheterisation of the bladder.” One patient who had increased spasticity remained disabled and more spastic. Bladder infections occurred in six patients, and in four of those six it was in association with neurologic setbacks. “Episodes of further plaque demyelination occurred in five cases after the immediate clinical or meningeal reaction had subsided.” In describing some of these cases, it became clear that case 5, for example, became more ataxic, with weakness of his legs by the 12th day. Case 14 developed increased weakness of the upper arms and retention of urine and had not improved 3 months after discharge. Case 19 developed a complete left foot drop 10 days after the injection. “In two other cases the new episodes were alarming.” This included numbness of the trigeminal division of the right side of the face and motor and sensory signs in the left leg; the patient became “frankly suicidal” and required courses of ECT. She then went on to develop an ascending myelitis with intercostal paralysis, respiratory paralysis, rightsided facial paralysis, dysarthria, and left-sided deafness with bulbar palsy. Similarly, another patient, patient 20, lost control of the bladder and had spinothalamic lesions,
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
157
total cord transection, weakness of the left limb, and blindness of the right eye. In following these patients these neurologists noted that “serial psychometric tests showed evidence of deterioration in 9 of the 16 trial cases during the year after the PPD was injected.” The trial had to be abandoned because of the severe reaction in these patients. The authors very cautiously stated, “Indeed, we are not satisfied that it may not lead to a reactivation of the condition during the month after the treatment” [167]. They even went on to state that “we hope that trials like ours and the similar results of Miller et al. will prevent the use of PPD as a placebo in a condition where there is great pressure for some active form of treatment” [167]. Miller et al. in 1961 had carried out a similar trial. Miller et al. were clearly puzzled as to the Oxford claims of clinical benefit since “although the reason for endowing this procedure with any possible therapeutic significance has never been clearly stated, we felt it important that the suggestion should be subjected to careful controlled assessment, and it is with the preliminary results of such a trial that the present paper is concerned” [169]. Their observations failed to reveal any influence of the injection of intrathecal tuberculin on the subsequent clinical course of MS. “In more than half the patients treated, the injection of tuberculin provoked an immediate clinical exacerbation of the chronic disease, with the reactivation of all symptoms of and provocation of new, but the present observations lend no support to the contention that the procedure influences the subsequent progression of the disease for good or ill once the immediate effects of treatment have subsided” [169]. They stopped their preliminary study and clearly noted the adverse effects of this form of treatment. These experiments, carried out for the best of reasons, clearly did not foresee that BBB breakdown in patients with MS brings about great deterioration and exacerbation of the disease, with the development of new symptoms and signs. The experience of Dr. Smith and others who repeated her work leaves no doubt whatsoever of the phenomenal clinical deterioration in a high proportion of the cases so treated. These experiments illustrate that BBB breakdown causes an exacerbation of the disease, and this strongly supports our contention that similar BBB breakdown, for whatever reason, particularly as outlined in our series of cases with cervical spinal cord trauma, brings about rapid clinical deterioration. Oppenheimer, in his MD thesis, studied three patients who had received the intra thecal injection of purified protein derivative (PPD) [153]. Two of these cases are recorded in detail, one dying 11 months and another 2 years later. The first of these had severe subacute lesions, while the second case was complicated in that the patient had fallen 9 months before her death and suffered a head injury. This latter patient had a large brain stem demyelinating plaque, which Oppenheimer attributed to the fall. Both of these cases had clinical relapse after PPD, but the third case died some 4 years after the PPD treatment, and the lesions were as one would expect in a standard case of MS [153].
Effects of Radiation on the BBB Experiments involving passive cellular transfer of EAE showed that if the recipient animals were irradiated prior to receiving the cellular transfer, they showed more virulent disease than their nonradiated littermates. Total body irradiation clearly
158
Neuroinflammation
allowed the transferred cells to induce a more rapid and severe encephalomyelitis [170]. Irradiating the donor rat reduced the severity of EAE, but giving specific focal spinal cord irradiation enhanced not only the severity of the disease but also caused it to develop earlier [170]. Such data are entirely consistent with the facts that irradiation damages the BBB. BBB damage has been shown in innumerable experiments, both in animals actively immunized to develop EAE and in those acting as recipients for passive cellular transfer, to enhance the severity of the disease, and the site and location of the disease could be predetermined. Levine and Hoenig showed that in such passive cellular transfer experiments in Lewis rats, a localized focal breakdown of the BBB artificially induced in recipients allowed them to develop the illness literally within hours of the cellular transfer [145]. Acute radiation therapy, particularly at tumoricidal doses, disrupts the BBB and can even cause an encephalopathy [31]. Patients with MS who are irradiated would be expected to do badly since BBB disruption would promote further demyelination. Indeed, cerebral demyelinating lesions of MS may appear as single or multiple contrast-enhancing lesions on MRI scans and can be mistaken clinically and radiologically for primary or metastatic brain tumors. Investigators reported five such patients who received radiation therapy [31]. Four of the patients received radiation in full tumoricidal doses and had extremely poor clinical outcomes. MRI scans of patients who have deteriorated after radiation show new lesions, which have been verified pathologically as acute new demyelinating lesions. At autopsy in such cases, profound conspicuous and aggressive demyelination has been found [31]. Aarli et al. reported the case of a man with MS who had a glioblastoma multiforme and was treated with radiation. He died 2 months later, and the autopsy showed no infiltrating tumor but instead diffuse demyelinating disease of the white matter [171]. Tourtellotte et al. studied 20 patients with MS who had received craniospinal radiotherapy and measured the levels of immunoglobulin G in their spinal fluid. Five patients had a transient decline in IgG synthesis, which lasted 3–6 weeks, 10 had totally inconsistent responses, and the remaining five, who were given steroids in addition to radiation, showed a decline in their IgG synthesis rate. None of these patients showed any clinical improvement [172]. Persisting with the idea that immune suppression may help, MS patients were given total lymphoid irradiation to induce immunocompetence [173]. A number of deaths occurred with this treatment and no clinical benefit was noted [12,173–175]. There was a definite increase in the severity of the disease and the development of infections. The worsening of demyelinating disease would appear to be the effect of radiation on blood vessels enhancing vascular permeability [31].
Bee and Wasp Sting Encephalopathy Reactions with Breakdown of the BBB It is well recognized, although rare, that an edematous encephalopathy may follow the sting of a wasp (Hymenoptera) or a bee (Apis mellafica); this edema of the brain
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
159
is secondary to a damaged BBB [176]. Studies have confirmed in similar fatal cases that edema and increased capillary permeability occurs [177]. While these cases are rare, they tend to strongly support our theory. MS and optic neuritis have been reported following such stings [178].
Congophilic Amyloid Encephalopathy with Breakdown of the BBB Several patients have been described with the rare disorder cerebrovascular amyloid angiopathy who developed MS. In amyloid angiopathy, a condition that may occur sporadically or genetically, the small cerebral blood vessels deposit amyloid material in their vessel walls. Most of these cases are without any clinical event, but some are known, usually after minor head injuries, to develop intracerebral hemorrhages. The patients are usually elderly, and segments of a single vessel may be involved; in that segment the BBB is broken down (i.e., there is increased permeability). The vessels involved with the deposition of amyloid have an increase in their permeability; when this increase occurs in patients who have concomitant MS, the plaques are centered around such diseased portions of the vessels. Students of this disease have found that “amyloid accumulated massively in and around blood vessels, usually in the immediate vicinity of the plaques” [179].
Neurologic Disorders that may be Precipitated by Trauma Many neurologic diseases are known to be precipitated by trauma. Indeed, some of these disorders for the most part occur after head injury; the injury in some way initiates the illness but does not cause it.
Childhood Ataxia with Central Hypomyelination In this recently described condition in childhood there is massive demyelination of the brain. The first account was given in 1993 by Hanefeld et al. [180]. A variety of other scholars have described this condition, which typically occurs in childhood but can occur in adulthood. The patients usually present with cerebellar ataxia and stiffness of their legs and go on to develop optic atrophy and epileptic seizures. The condition is considered to be genetic in origin but interestingly is precipitated by minor head trauma [180– 182]. The important point about this leukoencephalopathy with massive demyelination is that it is an inherited, genetic disorder, and the clinical deterioration usually occurs following head injury. How the head injury initiates the illness is unknown [182–184] .
Familial Hemiplegic Migraine Familial hemiplegic migraine is considered an autosomal dominant subtype of migraine in which patients have with their aura recurring episodes of hemiparesis or hemiplegia during the acute phases of the headache.
160
Neuroinflammation
Some Forms of Common Migraine Prof. Matthews at Oxford described how even common migraine may be precipitated by head injury and gave as a classic example many patients he had studied who had developed migraine following head injury suffered during football [18]. Indeed, the term “footballers’ migraine” has been used by neurologists.
Motor Neuron Disease The association between trauma and motor neuron disease has long been proposed, and one of the injuries highlighted as precipitating motor neuron disease is electric shock [185]. Initially the studies were small, but when good case-controlled studies were done in which the sample size was larger, appropriate controls were used, and ascertainment bias and unclear recordings were avoided, these trials strongly suggested a definite association between trauma and the development of motor neuron disease. “One well defined study, which eliminated recall bias by examining the military records of men in whom ALS later developed compared to match controls, recorded a statistically significant excess of trauma in cases before and during military service” [186].
Alzheimer’s Disease Alzheimer’s disease has been described as occurring following head trauma [187].
Parkinson’s Disease Parkinson’s disease has also been described in some patients following head trauma, and also there is a curious history of Parkinson’s disease following electrical injuries [164].
Guillain–Barré Syndrome Although this is a demyelinating disease of peripheral nerves, many patients have developed Guillain–Barré following trauma [188]. While these conditions may occur after head injury, the relationship to trauma is particularly apt and noticeable in childhood ataxia with central hypomyelination and in familial hemiplegic migraine. The other illnesses are mentioned entirely for completion.
Conclusions This review highlights the clinical features noted by distinguished physicians of the occurrence of clinical MS or its exacerbation following trauma, particularly of the cervical cord. The arguments denying such an association are flawed and based on
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
161
unproven tenets—that MS is an autoimmune disease and that T cells are involved in demyelination. All the patients in Sibley’s study already suffered from MS, which means that this would exclude any patient who had symptoms first appearing following the incident of trauma, and secondly lesions already present might be very well obscured, signaling the effect of new lesions. The authors did not discuss the crucial significance of BBB breakdown in the pathogenesis of the disease; where they referred to it, they assumed the veracity of the autoimmune theory. The authors further did not examine critically the effects of electrical injuries, which their own study found to be highly significant. Strangely, it is stated that “it is most unlikely that trauma is a primary cause of MS, but it could be a triggering factor” [29]. Patients we described [113] had the specific whiplash type injury with clear-cut symptoms of spinal cord involvement [113]. In our large series of over 100 cases, several of the patients who developed MS following trauma were over 60 years of age, a time when one would not expect the occurrence of new disease. It is clear that trauma has a relationship in the development of MS, and further studies of these cases may not only help elucidate mechanisms but may also serve as a basis for certain forms of therapy and better clinical management.
References [1] Rothman K, Greenland S, Lash T. Modern epidemiology. Philadelphia: Lippincott Williams & Wilkins; 2008. [2] Noseworthy JH. Nature 1999;399:A40–7. [3] Behan P, Chaudhuri A, Roep B. J R Coll Physicians Edinb 2002;32:244–65. [4] Chaudhuri A, Behan P. Arch Neurol 2004;61:1610. [5] Behan P. Expert Rev Neurother, Sep. 2009;9:1321–9. [6] Behan PO. Acute Disseminated Encephalomyelitis: Postinfectious, postimmunization and variant forms. Expert Rev Neurother 2010;9(9):1321–29. [7] Behan PO, Chaudhuri A. The sad plight of multiple sclerosis research (low on fact, high on fiction): critical data to support it being a neurocristopathy. Inflammopharmacology. Sep. 24, 2010;11: [Epub ahead of print]. [8] Hohlfeld R, Wiendl H. Ann Neurol 2001;49:281–4. [9] Rice, GP, Incorvaia, B, Munari, L, Ebers, G, Polman, C, D'Amico, R et al. Cochrane Database Syst Rev 2001;CD002002. [10] Quinn S. Human trials: scientists, investors, and patients in the quest for a cure. Cambridge: Da Capo Press; 2002. [11] Hauser SL, Dawson DM, Lehrich JR, Beal MF, Kevy SV, Propper RD, et al. N Engl J Med 1983;308:173–80. [12] Cook SD, Troiano R, Zito G, Rohowsky-Kochan R, Sheffit C, Dowling PC, et al. Lancet 1989;2:277–8. [13] Yudkin PL, Ellison GW, Ghezzi A, Goodkin DE, Hughes RA, Mcpherson K, et al. Lancet 1991;338:1051–5. [14] Chaudhuri A, Behan PO. N Engl J Med 2003;349:2269–71. author reply 2269–2271 [15] Coles A, Wing M, Molyneux P, Paolillo A, Davie C, Hale G, et al. Ann Neurol 2001;46:296–304.
162
Neuroinflammation
[16] Behan P, Currie S. Clinical neuroimmunology. London: WB Saunders Company; 1978. [17] Narayana PA, Doyle TJ, Lai D, Wolinsky JS. Ann Neurol 1998;43:56–71. [18] Matthews PM, De Stefano N, Narayanan S, Francis GS, Wolinsky JS, Antel JP, et al. Semin Neurol 1998;18:327–36. [19] Cifelli A, Arridge M, Jezzard P, Esiri MM, Palace J, Matthews PM. Ann Neurol 2002;52:650–3. [20] Trapp BD. Ann Neurol 2004;55:455–7. [21] Mycko MP, Papoian R, Boschert U, Raine CS, Selmaj KW. Brain 2003;126:1048–57. [22] Lock C, Hermans G, Pedotti R, Brendolan A, Schadt E, Garren H, et al. Nat Med 2002;8:500–8. [23] Dyment DA, Ebers GC. N Engl J Med 2002;347:1445–7. [24] Whitney LW, Ludwin SK, Mcfarland HF, Biddison WE. J Neuroimmunol 2001;121:40–8. [25] Tajouri L, Mellick AS, Ashton KJ, Tannenberg AEG, Nagra RM, Tourtellotte WW, et al. Mol Brain Res 2003;119:170–83. [26] Ebers G, Sadovnick A, Dyment D, Yee I, Willer C, Risch N. Lancet 2004;363:1773–4. [27] Schoene W, Carpenter S, Behan P, Geschwind N. Brain 1977;100:755. [28] Kimura, K, Hunter, S, Thollander, M, Loftus, E, Melton, L, O’Brien, P, et al. In: Mayo Clinic Proceedings, vol. 75, Mayo Clinic; 2000. p. 802. [29] Sibley W, Bamford C, Clark K, Smith M, Laguna J. J Neurol Neurosurg Psychiatr 1991;54:584. [30] Siva A, Radhakrishnan K, Kurland L, O'Brien P, Swanson J, Rodriguez M. Neurology 1993;43:1878. [31] Peterson K, Rosenblum M, Powers J, Alvord E, Walker R, Posner J. Neurology 1993;43:2105. [32] Hartung H, Gonsette R, Konig N, Kwiecinski H, Guseo A, Morrissey S, et al. The Lancet 2002;360:2018–25. [33] Bryant J, Clegg A, Milne R. J Neurol Neurosurg Psychiatr 2001;70:574. [34] Dhib-Jalbut S. Neurology 2002;58:3. [35] Calabresi P. Neurology 2002;58:10. [36] Mendel Neurol Zbl 1897;16:140–3. [37] Dawson JW. Trans R Soc Edin 1916;50:517. [38] Von Hoesslin, R. Über multiple sklerose: exogene aetiologie, pathogenese und verlauf. München: Lehmann; 1934. [39] McAlpine D. Brain 1946;69:233. [40] Adams D, Sutherland J, Fletcher W. Br Med J 1950;2:431. [41] Dana C. Res Publ Ass Nerv Ment Dis 1922;2:43. [42] Keschner M. Res Publ Assoc Res Nerv Ment Dis 1950;28:533–47. [43] Miller H. Lancet 1964;1:848. [44] Gonsette R, André-Balisaux G, Delmotte P. Acta Neurol Psychiatr Belg 1966;66:247–62. [45] Gonsette R. Incidence clinique des troubles de la perméabilitié capillaire cérébrale. Paris: Masson; 1972. [46] Riechert T, Hassler R, Mundinger F, Bronisch F, Schmidt K. Confin Neurol 1975;37:24. [47] Brinar, V 2005. [48] Brain R, Wilkinson M. Brain 1957;80:456. [49] Oppenheimer DR. Neuropathol Appl Neurobiol 1978;4:151–62. [50] Smith H, Taylor L, Hunter G. J Neurol Neurosurg Psychiatr 1955;18:237. [51] Smith H, Espir M, Whitty C, Russell W. J Neurol Neurosurg Psychiatr 1957;20:1. [52] Montgomery Jr E, Baker K, Kinkel R, Barnett G. Neurology 1999;53:625.
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
163
[53] Schulder M, Sernas T, Mahalick D, Adler R, Cook S. Stereotact Funct Neurosurg 2000;72:196–201. [54] Bittar R, Hyam J, Nandi D, Wang S, Liu X, Joint C, et al. J Clin Neurosci 2005;12:638–42. [55] Bolwig TG, Hertz MM, Paulson OB, Spotoft H, Rafaelsen OJ. Eur J Clin Invest 1977;7:87–93. [56] Mattingly G, Baker K, Zorumski CF, Figiel GS. J Neuropsychiatry Clin Neurosci 1992;4:145–51. [57] Poser CM. Acta Neuropathol 1986;71:1–10. [58] Goodin D, Ebers G, Johnson K, Rodriguez M, Sibley W, Wolinsky J. Neurology 1999;52:1737. [59] Poser CM. Arch Neurol 2000;57:1074–7. discussion 1078 [60] Lumsden C. In: Mcalpine D, Compston N, Lumsden C, editors. Multiple sclerosis. Edinburgh: Livingstone; 1955. p. 208–93. [61] Döring G. J Neurol 1940;150:146–62. [62] Prineas J. In: Koetsier JC, editor. Handbook of clinical neurology, vol. 3(47). Amsterdam: Elsevier Science Publishers; 1985. p. 230–2. [63] Lumsden CE. In: Vinken P, Bruyn G, editors. Handbook of clinical neurology, vol. 9; 1970 p. 217–309. [64] Fog T. Arch Neurol Psychiatry 1950;63:382. [65] Huber JD, Egleton RD, Davis TP. Trends Neurosci 2001;24:719–25. [66] Ballabh P, Braun A, Nedergaard M. Neurobiol Dis 2004;16:1–13. [67] Kirk J, Plumb J, Mirakhur M, Mcquaid S. J Pathol 2003;201:319–27. [68] Lightman S, Mcdonald WI, Bird AC, Francis DA, Hoskins A, Batchelor JR, et al. Brain 1987;110(Pt 2):405–14. [69] Broman T, Lindberg-Broman AM. Acta Physiol Scand 1945;10:102–25. [70] Broman T. Acta Neurol Scand Suppl 1964;40. [71] Hallervorden J. J Neurol 1940;150:201–39. [72] Spatz H. Eur Arch Psychiatry Clin Neurosci 1934;101:267–358. [73] Tsukada N, Ansar Ahmed S, Behan W, Behan P. Acta Neuropathol 1986;69:234–43. [74] Skoog T. Acta Oto-Laryngol 1937;25:365–78. [75] Cohen J, Lisak R. In: Aarli J, Behan W, Behan P, editors. Clinical neuroimmunology. Oxford: Blackwell Scientific Publications; 1987. p. 192–213. [76] Graham D, Behan P, More I. Br Med J 1979;42:19. [77] Gonzalez-Scarano F, Grossman RI, Galetta S, Atlas SW, Silberberg DH. Ann Neurol 1987;21:300–6. [78] Grossman RI, Braffman BH, Brorson JR, Goldberg HI, Silberberg DH, GonzalezScarano F. Radiology 1988;169:117–22. [79] Miller DH, Rudge P, Johnson G, Kendall BE, Macmanus DG, Moseley IF, et al. Brain 1988;111:927–39. Pt 4 [80] Willoughby EW, Grochowski E, Li DK, Oger J, Kastrukoff LF, Paty DW. Ann Neurol 1989;25:43–9. [81] Koopmans R, LI D, Oger J, Kastrukoff L, Jardine C, Costley L, et al. Ann Neurol 1989;26:248–56. [82] Hawkins C, Munro P, Mackenzie F, Kesselring J, Tofts P, Boulay E, et al. Brain 1990;113:365. [83] Kermode A, Thompson A, Tofts P, Macmanus D, Kendall B, Kingsley D, et al. Brain 1990;113:1477. [84] Pozzilli C, Bernardi S, Mansi L, Picozzi P, Iannotti F, Alfano B, et al. J Neurol Neurosurg Psychiatr 1988;51:1058.
164
Neuroinflammation
[85] Oppenheimer D. In: Blackwood W, Corsellis JAN, editors. Greenfield’s neuropathology; London: Edward Arnold; 1976, p. 470–99. [86] Seitelberger F. Ann Clin Res 1973;5:337. [87] Guseo A, Jellinger K. J Neurol 1975;211:51–60. [88] Adams C. Br Med Bull 1977;33:15. [89] Tanaka R, Iwasaki Y, Koprowski H. Am J Pathol 1975;81:467. [90] Mcguinness M, Smith K. Arch Immunol Ther Exp—English Edition 1999;47:281–8. [91] Engelhardt J, Tajti J, Appel S. Arch Neurol 1993;50:30. [92] Pezeshkpour G, Dalakas M. Arch Neurol 1988;45:505. [93] Okun M, Edelstein L. Lancet 1967;289:1056–7. [94] Poser C. Clin Neurol Neurosurg 1994;96:103–10. [95] Ommaya A, Rockoff S, Baldwin M, Friauf W. J Neurosurg Pediatr 1964;21:249–65. [96] Rinder L, Olsson Y. Acta Neuropathol 1968;11:183. [97] Maxwell W, Irvine A, Adams J, Graham D, Gennarelli T. J Pathol 1988;155:327–35. [98] Oppenheimer D. Br Med J 1968;31:299. [99] Goodman J, Bingham Jr W, Hunt W. J Neurosurg Pediatr 1976;44:418–24. [100] Kapadia S. J Neurosurg Pediatr 1984;61:539–44. [101] Hsu C, Hogan E, Gadsden Sr R, Spicer K, Shi M, Cox R. J Neurol Sci 1985;70: 275–82. [102] Bakay L, Lee J, Lee G, Peng J. J Neurosurg Pediatr 1977;47:525–31. [103] Lossinsky A, Song M, Wisniewski H. Acta Neuropathol 1989;77:480–8. [104] Kobrine A, Doyle T, Rizzoli H. Surg Neurol 1976;5:307. [105] Domer F, Liu Y, Chandran K, Krieger K. Exp Neurol 1979;63:304–10. [106] Povlishock J, Becker D, Sullivan H, Miller J. Brain Res 1978;153:223–39. [107] Povlishock J, Kontos H. In: Grossman R, Gildenberg P, editors. Head injury: basic and clinical aspects. New York: Raven Press; 1982. p. 15–29. [108] NEVIN N. J Neuropathol Exp Neurol 1967;26:77. [109] Hardman J. Adv Neurol 1979;22:15. [110] Flanders A, Schaefer D, Doan H, Mishkin M, Gonzalez C, Northrup B. Radiology 1990;177:25. [111] Jenkins A, Teasdale G, Hadley MD, Macpherson P, Rowan JO. Lancet 1986;2:445–6. [112] Levin H, Amparo E, Eisenberg H, Williams D, High Jr W, Mcardle C, et al. J Neurosurg: Pediatrics 1987;66. [113] Chaudhuri A, Behan P. Eur J Neurol 2001;8:659–64. [114] Jammes J. J Neuroophthalmol 1989;9:112. [115] Friedman A, Kaufer D, Shemer J, Hendler I, Soreq H, Tur-Kaspa I. Nat Med 1996;2:1382–5. [116] Ben-Nathan D, David Kobilcr R. In: Levy A, Grauer E, Ben-Nathan D, editors. New frontiers in stress research: modulation of brain function. Informa healthcare; 1998. p. 227–83. [117] Sharma HS, Westman J, Cervos-Navarro J, Dey PK, Nyberg F. In: Levy A, Grauer E, Ben-Nathan D, editors. New frontiers in stress research: modulation of brain function. Amsterdam: Harwood Academic Press; 1998. [118] Sharma HS, Westman J, Navarro JC, Dey PK, Nyberg F. Behav Brain Res 1995;72: 189–96. [119] Sharma H, Dey P. Indian J Physiol Pharmacol 1981;25:111–22. [120] Hughes P, Dragunow M. Pharmacol Rev 1995;47:133–78. [121] Zhao B, Schwartz J. J Neurosci Res 1998;52:7–16. [122] Giulian, Dand Lachman, L Science, 1985;228:497–9.
Spinal Cord Injury and Its Relationship of Clinical Multiple Sclerosis
165
[123] Kita T, Liu L, Tanaka N, Kinoshita Y. Int J Legal Med 1997;110:305–11. [124] Hartl R, Medary M, Ruge M, Arfors KE, Ghajar J. Acta Neurochir Suppl 1997;70:240–2. [125] Shohami E, Gallily R, Mechoulam R, Bass R, Ben-Hur T. J Neuroimmunol 1997;72:169–77. [126] Kossmann T, Stahel PF, Lenzlinger PM, Redl H, Dubs RW, Trentz O, et al. J Cereb Blood Flow Metab 1997;17:280–9. [127] Gruol D, Nelson T. Mol Neurobiol 1997;15:307–39. [128] Krei K, Fredrikson S, Fontana A, Link H. J Neuroimmunol 1991;31:147–53. [129] Hofman F, Hinton D, Johnson K, Merrill J. J Exp Med 1989;170:607. [130] Merrill JE. J Immunother 1992;12:167–70. [131] Woodroofe MN, Sarna GS, Wadhwa M, Hayes GM, Loughlin AJ, Tinker A, et al. J Neuroimmunol 1991;33:227–36. [132] Schmidt RH, Grady MS. J Neurotrauma 1993;10:415–30. [133] Tanno H, Nockels R, Pitts L, Noble L. J Neurotrauma 1992;9:21–32. [134] Watkins LR, Maier SF. In: Levy A, Grauer E, Ben-Nathan D, Kloet ERD, editors. New frontiers in stress research: modulation of brain function. Amsterdam: Harwood Academic Press; 1998. p. 187–94. [135] Dunn. In: Levy A, Grauer E, Ben-Nathan D, Kloet ERD, editors. New frontiers in stress research: modulation of brain function. Amsterdam: Harwood Academic Press; 1998. [136] Pluchino S, Vallone I, Annunziata P. Ital J Neurol Sci 1999;20(Suppl. 4):S189. [137] Pratt R. J Neurol Neurosurg Psychiatr 1951;14:326. [138] Hanin I. Nat Med 1996;2:1307–8. [139] Kaufer D, Friedman A, Seidman S, Soreq H. Nature 1998;393:373–6. [140] Otte A, Mueller-Brand J, Fierz L. Lancet 1995;345:1513. [141] Otte A, Mueller-Brand J, Nitzsche EU, Wachter K, Ettlin TM. J Nucl Med 1997;38:1002-a. [142] Warren S, Greenhill S, Warren K. J Chronic Dis 1982;35:821–31. [143] Clark G, Bogdanove LH. J Neuropathol Exp Neurol 1955;14:433–7. [144] Bogdanove LH, Clark G. J Neuropathol Exp Neurol 1957;16:57–60. [145] Levine S, Hoenig EM. J Immunol 1968;100:1310–8. [146] Lumsden C. In: McAlpine D, Lumsden CE, Acheson ED, editors. Multiple sclerosis: a reappraisal. Edinburgh & London: Churchill Livingstone; 1972. [147] Sobue K, Yamamoto N, Yoneda K, Hodgson M, Yamashiro K, Tsuruoka N, et al. Neurosci Res 1999;35:155–64. [148] Moscarello M, Wood D, Ackerley C, Boulias C. J Clin Invest 1994;94:146–54. [149] Stone LA, Frank JA, Albert PS, Bash C, Smith ME, Maloni H, et al. Ann Neurol 1995;37:611–9. [150] Burgerman R, Rigamonti D, Randle JM, Fishman P, Panitch HS, Johnson KP. Surg Neurol 1992;38:265–70. [151] Russell D. Lond Hosp Gaz 1946;49:1–6. [152] Kelly R. In: Vinken P, Bruyn G, editors. Handbook of clinical neurology. Amsterdam: Elsevier; 1985. [153] Oppenheimer D. Observations on the pathology of demyelinating diseases. Thesis. University of Oxford; 1962. [154] Lending M, Slobody LB, Mestern J. Am J Physiol 1959;197:465–8. [155] Aird RB, Strait LA, Pace JW, Hrenoff MK, Bowditch SC. AMA Arch Neurol Psychiatry 1956;75:371–8. [156] Angel C, Roberts AJ. J Nerv Ment Dis 1966;142:376–80.
166
Neuroinflammation
[157] Brodersen P, Paulson O, Bolwig T, Rogon Z, Rafaelsen O, Lassen N. Arch Neurol 1973;28:334. [158] Lee J, Olszewski J. Neurology 1961;11:515. [159] Bolwig T. Acta Psychiatr Scand Suppl 1988;345:15. [160] Mander A, Whitfield A, Kean D, Smith M, Douglas R, Kendell R. Br J Psychiatry 1987;151:69. [161] Coffey C, Weiner W, Mccall W, Heinz E. J ECT 1987;3:137. [162] Grossman R, Joseph P, Wolf G, Biery D, Mcgrath J, Kundel H, et al. Radiology 1985;155:649. [163] Gallagher J, Sanders M. Acta Neurol Scand 1987;75:145. [164] Quinn N, Maraganore D. Mov Disord 2000;15:587. [165] Bourdillon R, Fischer-Williams M, Smith H, Taylor K. J Neurol Neurosurg Psychiatr 1957;20:79. [166] Smith H, Hughes I, Hunter G. Br Med J 1961;24:101. [167] Marshall J, O'Grady F. J Neurol Neurosurg Psychiatr 1959;22:277. [168] Kelly R, Jellinek E. Br Med J 1961;2:421. [169] Miller H, Newell DJ, Ridley A, Schapira K. J Neurol Neurosurg Psychiatry 1961;24:118–20. [170] Oldendorf WHMD, Cornpord EMPD. J Neuropathol Exp Neurol 1977;36:50–61. [171] Aarli J, Mørk S, Myrseth E, Larsen J. Eur Neurol 1989;29:312–6. [172] Tourtellotte W, Potvin A, Baumhefner R, Potvin J, Ma B, Syndulko K, et al. Arch Neurol 1980;37:620. [173] Cook S, Troiano R, Zito G, Lavenhar M, Devereux C, Hafstein M, et al. Lancet 1986;327:1405–9. [174] Cook S, Devereux C, Troiano R, Zito G, Hafstein M, Labenhar M, et al. Ann Neurol 1987;22:634–8. [175] Devereux C, Vidaver R, Hafstein M, Zito G, Troiano R, Dowling P, et al. Int J Radiat Oncol Biol Phys 1988;14:197–203. [176] Means E, Barron K, Van Dyne B. Neurology 1973;23:881. [177] Remes-Troche J, Téllez-Zenteno J, Rojas-Serrano J, Senties-Madrid H, Vega-Boada F, García-Ramos G. Eur Neurol 2003;49:188. [178] Exacerbations of multiple sclerosis following wasp stings (Letter) Mayo Clinical Proceedings. Mar. 2000. 75(3):317–318. [179] Heffner Jr R, Porro R, Olson M, Earle K. Arch Neurol 1976;33:501. [180] Hanefeld F, Holzbach U, Kruse B, Wilichowski E, Christen H, Frahm J. Neuropediatrics 1993;24:244. [181] Prass K, Brück W, Schröder N, Bender A, Prass M, Wolf T, et al. Ann Neurol 2001;50:665–8. [182] Knaap MS, Leegwater PAJ, Könst AAM, Visser A, Naidu S, Oudejans CBM, et al. Ann Neurol 2002;51:264–70. [183] Van der Knaap M, Barth P, Gabreels F, Franzoni E, Begeer J, Stroink H, et al. Neurology 1997;48:845–55. [184] Leegwater PAJ, Vermeulen G, Könst AAM, Naidu S, Mulders J, Visser A, et al. Nat Genet 2001;29:383–8. [185] Jafari H, Couratier P, Camu W. J Neurol Neurosurg Psychiatr 2001;71:265. [186] Kurtzke J, Beebe G. Neurology 1980;30:453. [187] Nicoll JA, Roberts GW, Graham DI. Ann N Y Acad Sci 1996;777:271–5. [188] Arnason B, Asbury A. Arch Neurol 1968;18:500. [189] Kinnier Wilson SA. Aetiology In: Neurology. 2nd ed, Vol. 1, Butterworth: London; 1954, p.175.
8 Clinical Development and
Benefit–Risk Profile of Natalizumab Eileen M. O’Connor, Rae Ann Maxwell Medical Science Liaison, Biogen Idec Neurology, US Medical Affairs
Introduction Natalizumab (Tysabri™) is a humanized anti-integrin monoclonal antibody used for treatment of multiple sclerosis (MS) [1,57] and Crohn’s disease [2]. Natalizumab is a selective adhesion molecule (SAM) inhibitor therapy targeting the α-4 component of α-integrins. Integrins are one group of adhesion molecules that are involved in adhesion of activated leukocytes to underlying inflamed endothelium and consist of leukocytes function-associated integrin type-1 (VLA-4, α4β1, and α4β7).
Mechanism of Action During the inflammatory cascade of MS, and upon exposure to inflammatory cytokines such as tumor necrosis factor (TNF)-α, the expression of adhesion molecules such as vascular cell adhesion molecule 1 (VCAM-1), E-selectin, and intercellular adhesion molecule 1 (ICAM-1) is upregulated on the surface of cerebral endothelial cells [3,4]. The ligands for these adhesion molecules, which exist on the surface of activated leukocytes, are VLA-4 and ICAM-1/ICAM-2. Interaction between these adhesion molecules and their ligands plays a critical role in transendothelial migration of activated leukocytes. Since adhesion of leukocytes to endothelial cells is a required step for leukocyte migration, blocking this adhesion may suppress the inflammatory cascade significantly. The concept of using monoclonal antibodies against VLA-4 to block its interaction with VCAM-1 originated from the seminal experiment of Yednock et al. [5] on mice with experimental allergic encephalomyelitis (EAE). These investigators treated their EAE mice model with an anti–VLA-4 monoclonal antibody and observed that such treatment was associated with a dramatic decrease in accumulation of activated leukocytes within the central nervous system (CNS). Various anti–α-4-integrin monoclonal antibodies have been tested in animals with various immune-mediated inflammatory disorders [6], and of these only two have progressed to human clinical trials: anti-α4β1 monoclonal antibody for MS and antiα4β7 antibody for Crohn’s disease. Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00008-3 © 2011 Elsevier Inc. All rights reserved.
168
Neuroinflammation
Mean concentration (mcg/mL)
60 50 40 30 20 10 0
0
1
2
3
4
5
6
7
8
9
Time (weeks)
Figure 8.1 Comparison of serum concentrations of natalizumab determined for 9 weeks after single IV infusion of 1 mg/kg () compared with 3 mg/kg ().
Pharmacokinetics and Pharmacodynamics A phase I, randomized, placebo-controlled, single intravenous (IV), five-dose escalation trial (0.03, 0.1, 0.3, 1.0, and 3.0 mg/kg infused over 45 min) was conducted in 28 relapsing–remitting (RR) MS, secondary progressive (SP) MS patients to evaluate the safety and tolerability of natalizumab [7]. All doses were safe and well tolerated, with headache being the primary adverse event, followed by nausea, shakiness, and urticaria. All adverse events were self-limiting, with no patients withdrawing from the trial and no serious adverse events reported. Pharmacokinetic evaluation of serum natalizumab concentrations revealed a bi-exponential drug-concentration time curve, with a rapid distribution phase followed by a prolonged terminal phase. Doses of 0.03–3.0 mg/kg produced serum concentrations that rapidly fell below detectable limits of the enzyme-linked immunosorbent assay (ELISA) (50–2000 pg/mL) after the 45-min infusion. The 0.3-mg/kg dose produced sustainable natalizumab serum concentrations for 1 week, while the 1.0- and 3.0-mg/kg doses produced serum concentrations for 3–8 weeks [7] (Figure 8.1). The terminal half-life, based on the 3-mg/kg group, was 4–5 days [7]. Another placebo-controlled, dose escalation phase I trial, in 39 RRMS, SPMS patients, further evaluated higher doses, including 1, 3, and 6 mg/kg [8], with similar pharmacokinetic results. Since the pharmacokinetic and pharmacodynamic profiles of monoclonal antibodies may demonstrate substantial variability, evaluation of the α-4-integrin receptor saturation was further elucidated. Twenty-four hours after infusion of a single IV dose of natalizumab (1–6 mg/kg) has been found to produce maximal (defined as .80%) saturation of surface α-4 receptors on peripheral blood leukocytes [8]. Receptor saturation was maintained for 1, 3–4, and 6 weeks with respective natalizumab doses of 1, 3, and 6 mg/kg, with approximately 90% of the patients achieving maximal saturation after the two higher doses (3 and 6 mg/kg) [8]. The current dose of natalizumab that is commercially available for treatment is a single 300-mg dose administered IV once every 28 days.
Clinical Development and Benefit–Risk Profile of Natalizumab
169
GLANCE Study design Randomization (1:1) baseline
Extension protocol 1808
Treatment phase
Screening
GA 20 mg SC once daily + natalizumab 300 mg IV every 4 weeks
Open-label natalizumab
GA 20 mg SC once daily + placebo IV every 4 weeks
Week –4
0
• *
4
8
*
*
√ √ √ √ √
* MRI and antibody testing
12
• *
√ √ PK
16
20
*
*
24
• *
√
• EDSS
Figure 8.2 GLANCE Study design.
Clinical Development The phase II program for natalizumab began in 1999 with 213 patients enrolled from 26 centers in the United States, Canada, and the United Kingdom. Patients with RRMS and SPMS were eligible if they had experienced at least two relapses within the previous 2 years, had an Expanded Disability Status Scale (EDSS) score between 2 and 6.5, and had a minimum of three T2 lesions as determined by magnetic resonance imaging (MRI). This placebo-controlled dose-finding study used two weight-based regimens, 3 mg/kg or 6 mg/kg, which were infused IV every 28 days for 6 months. Patients were monitored for adverse events for an additional 6 months. Miller et al. [1] reported that the primary endpoint of the mean number of new gadolinium-enhancing lesions at 6 months was significantly different between the placebo and both natalizumab groups (P , 0.001). However, no significant difference was observed between the 3 and 6-mg/kg groups. Further, a decrease in the mean number of new lesions of approximately 90% was observed in both natalizumab groups compared to placebo, an effect that was observed after the first infusion and sustained throughout the 6-month treatment period. Adverse events reported were similar in all groups. GLANCE was a phase II, randomized, double-blind, placebo-controlled trial in patients who had been treated with glatiramer acetate (GA) for at least 1 year to determine the safety and tolerability of GA in combination with natalizumab over a 6-month period (Figure 8.2). Because the proposed mechanism of action of GA requires cellular entry into the brain, α-4-integrin blockade by natalizumab was hypothesized to impair, rather than enhance, the efficacy of GA. The combination of natalizumab and GA appeared to be safe and well tolerated [9]. The AFFIRM [10] and SENTINEL [11] trials were the pivotal phase III clinical trials that examined the efficacy of natalizumab in MS patients. AFFIRM and
170
Neuroinflammation
SENTINEL are two of the largest pivotal RRMS trials to date and were designed as randomized, double-blind, placebo-controlled and, parallel group trials. AFFIRM, the monotherapy trial, examined the effect of treatment with natalizumab 300 mg IV every 28 days versus placebo in terms of the annualized relapse rate (ARR) (primary endpoint year 1) and the cumulative probability of disability progression (primary endpoint year 2). SENTINEL, the add-on trial, was conducted to determine the benefit of natalizumab on the aforementioned primary endpoints when added to interferon beta-1a 30 µg (IFN-β1a) given intramuscularly (IM) once a week. A variety of MRI parameters were measured as secondary endpoints in both of the phase III trials: new or enlarging hyperintense T2 lesions, number of gadolinium-enhancing (Gd) lesions, number of new T1-hypointense lesions, as well as T1 and T2 lesion volume. AFFIRM and SENTINEL were the first phase III MS clinical trials to explore the effect of natalizumab on functional measurements that frequently affect MS patients. These prespecified tertiary endpoints included several measurements of quality of life (QoL) as well as visual function. Since the use of natalizumab in clinical practice is different from the population initially studied in AFFIRM, a post marketing phase IV study was designed to determine natalizumab’s efficacy in the MS population in which it is used. The Tysabri Observational Program (TOP) is an open-label, observational study in approximately 3000 patients naïve to natalizumab treatment. It is powered to determine the efficacy of natalizumab in clinical practice as measured by EDSS and ARR over 5 years [12]. Patients in the AFFIRM trial were randomly assigned in a 2:1 ratio to receive either natalizumab or placebo (Figure 8.3). Patients in the SENTINEL trial were randomly assigned in a 1:1 ratio to receive either natalizumab plus IFN-β1a or IFNβ1a plus placebo. Natalizumab was dosed as 300 mg IV every 4 weeks for up to 116 weeks in both the AFFIRM and SENTINEL trials. In the SENTINEL trial, patients received 30 μg IFN-β1a IM once weekly for up to 116 weeks. Inclusion and exclusion criteria for AFFIRM and SENTINEL are listed in Table 8.1.
Efficacy Traditionally, efficacy for MS therapies is measured by reduction in relapses over a year, various MRI indices (e.g., number of Gd, T2 lesions), and evaluation of disease progression as a change in EDSS by a one-point increase in score maintained for a specific time period (e.g., 12 or 24 weeks). In clinical trials with natalizumab, additional nontraditional measures such as QoL using a visual analog scale (VAS) and Short-Form 36 (SF-36), Multiple Sclerosis Functional Composite (MSFC), as well as visual changes were evaluated as either secondary or tertiary endpoints to further elucidate other clinical manifestations of the disease and further evaluate the impact of natalizumab on MS beyond the gold-standard measures (e.g., relapses, MRI). Based on the positive findings of AFFIRM, several additional post hoc analyses were performed using concepts from other immune-mediated disease states (e.g., rheumatoid arthritis) to further define treatment impact on MS patients.
Clinical Development and Benefit–Risk Profile of Natalizumab
171
AFFIRM study design Randomization (2:1) baseline Extension protocol 1808
Treatment phase Screening
Natalizumab 300 mg IV infusion every 4 weeks to week 116
Open-label natalizumab
Placebo IV infusion every 4 weeks
Week –5 0
• * * √
24
*
• *
48
*
*
• √
* EDSS and MSFC ∆For
72
*
*
√ MRI
96
*
*
• √
120 Completion week 128∆
*
*
• MSQLI/SF-36
those not entering extension.
Figure 8.3 AFFIRM Study design. Table 8.1 AFFIRM and SENTINEL Inclusion and Exclusion Criteria Inclusion
Exclusion
18–50 years of age (AFFIRM) 18–55 years of age (SENTINEL)
Primary progressive MS, secondary progressive MS, or relapsing progressive MS
EDSS 0–5.0
Relapse within 50 days before randomization
MRI lesions consistent with MS
Treatment with interferon beta, cyclophosphamide, or mitoxantrone within the previous 12 months or GA, cyclosporine, azathioprine, methotrexate, mycophenolate mofetil, or IV immune globulin within the previous 6 months
>1 medically documented relapse within the 12 months prior to study entry
Treatment with any other interferon product besides IFN-β1a IM in the prior 12 monthsa
Relapse while on interferon IFN-β1a IM for at least 12 monthsa a
SENTINEL only [10,11].
These additional measures include sustained improvement, defined as a reduction in EDSS score by one point sustained for 12 or 24 weeks, and a composite of several traditional measures (relapses, disease progression, MRI indices) to frame the concept of freedom of disease activity. In addition, several phase IV trials have been
172
Neuroinflammation
conducted to evaluate changes in cognition and fatigue, stemming from anecdotal reports of improvement in these areas by patients and their physicians. Various evaluations of subsets of patients were analyzed (e.g., disease activity at baseline [highly active], ethnicity, and other predefined demographic baseline parameters) to obtain a better understanding of what type of MS patient could most benefit from natalizumab therapy. All of these studies and analyses were done to gain better insight into how future therapies could work in MS patients, as well as to treat the entire patient and those various signs and symptoms she or he suffers from, which to date have been virtually left untreated or routinely monitored for improvement in the clinical setting. Natalizumab had a robust effect on all standard measures of MS treatment efficacy in both pivotal trials. In AFFIRM (monotherapy study), the primary endpoint at year 1 was ARR. The natalizumab patients experienced a relative reduction of 68% that was maintained over 2 years of the trial (Table 8.2) [10]—a first for any MS therapy. At 2 years, there was a 42% reduction in the risk of sustained progression of disability (P , 0.001) in the natalizumab group compared to placebo (Figure 8.4) [10]. Additional sensitivity analysis for risk of sustained progression at 6 months resulted in a 54% reduction compared to placebo (P , 0.001). In SENTINEL (addon study), the relative reduction in relapse rate was 54% (P , 0.001) at year 1, and it was maintained at year 2 in the add-on treatment group. In addition, the risk of sustained progression of disability was reduced by 24% (P 0.02) in the add-on treatment group [11]. Measurements of new or enlarging MRI lesions, Gd or T2 weighted, were reduced by 92% and 83%, respectively, compared to placebo. Interestingly, 97% and 57% of natalizumab-treated patients experienced no new or enlarging Gd or T2 lesions, respectively, at the end of the 2-year trial (see Table 8.2) [10]. Also, there was a 76% relative reduction in the mean number of T1-hypointense lesions over the 2 years with Tysabri (Tysabri 1.1 lesions versus placebo 4.6 lesions; P , 0.001) [13]. In SENTINEL, the add-on treatment group experienced an 83% reduction in T2 lesions (P , 0.001) and an 89% reduction in Gd lesions (P , 0.001) at 2 years compared to placebo [11].
Subgroup Analysis Data It is well accepted that MS is a heterogeneous disease and that patients may respond differently to various DMTs. Differences in response may be a factor of gender, ethnicity, or level of disease activity. To explore the effect of natalizumab in these populations, several prespecified analyses were conducted.
Highly Active Patients Patients with highly active relapsing MS experience more relapses and are more likely to become disabled sooner due to the accumulation of disease burden being
Table 8.2 Endpoints as Determined by Clinical Results and MRI Evaluationa 1 Year Natalizumab (n 627)
Placebo (n 315)
2 Years P-value
Natalizumab (n 627)
Placebo (n 315)
P-value
17
29
<0.001c
Clinical Primary endpoint at 2 years: cumulative probability — of sustained disability progression—%b
—
Primary endpoint at 1 year: annualized relapse rate—mean (95% CI)d Preplanned interim analysis (after 900 patient-years)
0.26 (0.21–0.32)
0.81 (0.67–0.97)
,0.001
—
—
Final analysis
0.27 (0.21–0.33)
0.78 (0.64–0.94)
,0.001
0.23 (0.19–0.28)
0.73 (0.62–0.87)
0
501 (80)
189 (60)
454 (72)
146 (46)
1
106 (17)
76 (24)
123 (20)
65 (21)
2
17 (3)
36 (11)
36 (6)
63 (20)
>3
3 (<1)
14 (4)
14 (2)
41 (13)
Adjusted annualized relapse rate
—
—
0.24
0.75
,0.001
Unadjusted annualized relapse rate
—
—
0.22
0.64
,0.001
—
—
0.22
0.67
,0.001
,0.001
Number of relapses—no. of patients (%)
Clinical Development and Benefit–Risk Profile of Natalizumab
Endpoint
Sensitivity analysise
f
Mean relapse rate per patient MRI
0–1 Year
0–2 Years <0.001
,0.001
0
382 (61)
72 (23)
360 (57)
46 (15)
1
112 (18)
41 (13)
106 (17)
32 (10)
173
Number of new or enlarging T2-hyperintense lesions—no. of patients (%)
Table 8.2 (Continued) 1 Year Natalizumab (n 627)
Placebo (n 315)
2
40 (6)
>3
93 (15)
2 Years Natalizumab (n 627)
Placebo (n 315)
23 (7)
48 (8)
24 (8)
179 (57)
113 (18)
213 (68)
P-value
Number of new or enlarging T2-hyperintense lesions Mean 1.24.7 Median 0
6.19.0
1.99.2
11.015.7
3.0
0
5.0
Minimum, maximum
0, 77
0, 196
0, 91
0, 98 At 1 year
P-value
At 2 years
Number of gadolinium-enhancing lesions—no. of patients (%) 0 605 (96)
213 (68)
608 (97)
227 (72)
1
17 (3)
42 (13)
12 (2)
39 (12)
2
3 (,1)
15 (5)
1 (,1)
9 (3)
>3
2 (<,1)
45 (14)
6 (,1)
40 (13)
,0.001
,0.001
0.11.3
1.33.2
0.11.4
1.23.9
Median
0
0
0
0
Minimum, maximum
0, 32
0, 33
0, 32
0, 48
Plus–minus values are meanSD; CI, confidence interval. Sustained disability progression was defined as an increase of 1.0 point or more in scores on the EDSS from baseline score of 1.0 or more or an increase of 1.5 points or more from a baseline score of 0 that was sustained for 12 weeks. c The hazard ratio for sustained progression of disability in the natalizumab group as compared with the placebo group was 0.58 (95% CI, 0.43–0.77). d Relapses that occurred after sustained progression of disability was reached and rescue treatment was initiated (per protocol) were censored. e Analysis includes relapses that occurred after sustained progression was reached and rescue treatment was initiated (per protocol). f The mean relapse rate per patient is the number of relapses for each patient divided by the total of number of years of follow-up. b
Neuroinflammation
Number of gadolinium-enhancing lesions Mean
a
174
Endpoint
Clinical Development and Benefit–Risk Profile of Natalizumab
175
Proportion of patients with sustained progression of disability
0.4 P < 0.001 0.3
Placebo
0.2
Natalizumab
0.1
0.0
No. at risk Placebo Natalizumab
0
12
24
36
48
315 627
296 601
283 582
264 567
248 546
60 72 Weeks 240 525
229 517
84
96
108
120
216 503
208 490
200 478
199 473
Figure 8.4 Kaplan–Meier plots of the time to sustained progression of disability among patients receiving natalizumab, as compared with placebo. Natalizumab reduced the risk of sustained progression of disability by 42% over 2 years (hazard ratio, 0.58; 95% confidence interval, 0.43–0.77). The cumulative probability of progression was 17% in the natalizumab group and 29% in the placebo group.
greater than those with typical relapsing MS. A subgroup analysis was conducted in those patients from the AFFIRM and SENTINEL trials who had highly active disease, as defined by two or more relapses and one or more Gd lesions at baseline [14]. A total of 209 patients from AFFIRM (n 148 natalizumab, n 61 placebo) were evaluated for reduction in relapse rate and disability progression. Natalizumab reduced the 2-year ARR by 81% compared to placebo (0.28 versus 1.46, respectively; P , 0.001) and reduced the risk of disability progression sustained for 12 and 24 weeks by 53% and 64%, respectively, compared to placebo. These data suggest that natalizumab has a robust effect on patients who may have a more insidious course of disease. For SENTINEL, 169 patients met the criteria for highly active disease (n 74 INF-β1a plus natalizumab, n 95 INF-β1a alone). The addition of natalizumab to INF-β1a produced a 76% reduction in the 2-year ARR compared to INF-β1a alone. Add-on therapy reduced the risk of disability progression for 12 and 24 weeks by 61% and 58%, respectively.
Baseline Demographic Subgroup Hutchinson et al. [15] published the prespecified subgroup analyses from both of the phase III trials, which examined the effect of natalizumab, compared to placebo,
176
Neuroinflammation
according to baseline characteristics: relapse history 1 year prior to randomization (1, 2, or >3), EDSS score (<3.5 or .3.5), number of T2 lesions (,9 or >9), presence of Gd lesions (0 or >1), age (40 or >40), and gender, in addition to patients with highly active disease (>2 relapses in the year prior to study entry and >1Gdlesion at study entry). The ARR was reduced in all subgroups in both AFFIRM and SENTINEL, with the exception of the patients who had less than nine T2 lesions at baseline, likely due to the small number of patients in this subgroup. The risk of sustained disability progression was significantly reduced in most prespecified subgroups in AFFIRM and in SENTINEL in patients with nine or more T2 lesions at baseline, at least one Gd lesions at baseline, females, and patients under 40 years of age [15]. These data confirmed the original findings: natalizumab demonstrated consistent efficacy across all subgroups, including patients who had active disease at time of treatment initiation. Considering natalizumab’s mechanism of action, these results may indicate that natalizumab may be useful early in the disease, when inflammation is the critical component to disability progression.
African Americans There are data to suggest that patients of African descent with relapsing MS may not respond to interferon therapy with the same magnitude as Caucasian patients, in addition to sustaining more disease activity and more rapid disease progression [16]. A post hoc analysis was conducted on data from AFFIRM (monotherapy) and SENTINEL (add-on), including the placebo arms of both trials (combined groups) of patients who indicated “Black” on their screening form [55]. There were a total of 49 patients who met these criteria for further analysis, 10 from AFFIRM (4 in the natalizumab group, 6 in the placebo group) and 39 from SENTINEL (17 in the group taking INF-β1a plus natalizumab, 22 taking INF-β1a alone). Despite the small number of patients, there was a trend toward a lower number of relapses in the natalizumab group compared to placebo (1.38 0.67 versus 1.82 0.82). Also, over the 2 years of the trials, the ARR was reduced by 60% in the natalizumab group versus placebo. The mean number of new or enlarging T2 lesions and Gd lesions was significantly reduced by 90% and 79%, respectively, in the natalizumab group over the 2 years of the trial.
Novel Measures of Efficacy Multiple Sclerosis Functional Composite The MSFC was examined as a secondary endpoint to evaluate a new method of measuring disability. Most clinicians agree that the EDSS is limited because it relies predominantly on assessing lower limb ambulation disability. The MSFC incorporates quantitative measures of three components expressed as a composite Z-score.
Clinical Development and Benefit–Risk Profile of Natalizumab
177
Ambulation was measured using the timed 25-foot walk (T25-FW); the nine-hole peg test (9-HPT) was used to measure upper extremity function; and the 3-second paced auditory serial addition test (PASAT-3) was used to measure cognition. Natalizumab-treated patients demonstrated a statistically significant improvement in MSFC scores at each time point over 2 years (P , 0.001). Each component of the MSFC was also statistically significantly different from placebo (T25-FW, P , 0.001; 9-HPT, P , 0.001; PASAT-3, P , 0.005) [17]. Rudick et al. [18] separately examined MSFC progression as defined by worsening from baseline on scores of at least one MSFC component by 20% (MSFC Progression-20) or 15% (MSFC Progression-15) for at least 3 months [18]. In these analyses, a greater proportion of placebo patients exhibited progression as measured by the MSFC Progression-15 and MSFC Progression-20 sustained for at least 3 months over 2 years of the trial than did natalizumab-treated patients. MSFC progression was most commonly driven by T25-FW in both the placebo and natalizumab groups.
Health-Related QoL A variety of health-related QoL measures were included in both AFFIRM and SENTINEL as tertiary endpoints to further elucidate other signs and symptoms that may affect patients with MS, beyond ambulation. These included the Multiple Sclerosis Quality of Life Index (MSQLI), developed by the Consortium of Multiple Sclerosis Centers’ Health Service Research Subcommittee, and VAS [19]. One component of the MSQLI includes the SF-36, one of the most widely used generic health status measures; it is used in a variety of chronic disease states [20]. The SF-36 contains 36 items that assess patients’ health status, and its impact on their daily lives and consists of two components: physical (PCS) and mental (MCS) [21]. The VAS was used to confirm the SF-36 results. The VAS consists of a single-item subjective global assessment of wellbeing that has a scale labeled “poor” (0) on one end and “excellent” (100) at the other; the patient draws a vertical line on the scale to indicate how he or she feels at that time [19]. Additional factors that may affect QoL were also evaluated, including changes in vision, pain, and cognition as measured by the PASAT portion of the MSFC. The primary objective of this analysis was to determine the effect from natalizumab monotherapy (AFFIRM) or add-on therapy with IFN-β1a (SENTINEL) on health-related QoL over 2 years [19]. Assessments were completed at baseline and at 24, 52, and 104 weeks. All health-related QoL outcomes were reported as mean scores and mean change from baseline for both SF-36 scales and VAS. Results were calculated for all time points. At baseline, the combined mean PCS and MCS scores were 43.20.4 and 47.00.5 across both studies. PCS and MCS scores for MS patients were significantly lower than the general US population: 50 is considered normal for both domains [21]. This illustrates that MS is associated with a significant QoL burden due to the disease. Higher EDSS scores were associated with lower PCS scores at baseline. PCS scores for all EDSS scores of 2.0 or more were significantly less in comparison with PCS scores at an EDSS of 0.0 (P , 0.005). By week 104, patients treated with natalizumab had significantly more improvement from
178
Neuroinflammation
baseline in both PCS and MCS than the placebo group. The PCS was significantly higher at 24 weeks and remained so through 2 years (P , 0.05) in the natalizumab group, while scores worsened over time for placebo. A clinically important change on the PCS and MCS was defined as at least a 0.5-SD change from baseline to week 104. A higher percentage of natalizumab-treated patients achieved a clinically important change than placebo patients for both PCS (24.9% versus 16.8%) and MCS (28.5% versus 21.6%). It is not surprising that the PCS showed a more robust effect with treatment than the MCS, since substantial physical impairment is the hallmark of MS. The VAS showed similar results: placebo-treated patients showed a worsening (6.2% change from baseline) and natalizumab appeared to keep patients feeling well (0.2% change from baseline) at 104 weeks. Further analyses of these data were conducted by Kieseier et al. [22] to evaluate the effect of natalizumab on health-related QoL of the highly active (HA) patients (n 209; 148 in the natalizumab group and 61 in the placebo group) previously identified in the AFFIRM trial versus the non-HA patients (n 733; 479 in the natalizumab group and 254 in the placebo group). No significant differences were found at baseline between the two subgroups regarding PCS, MCS, or VAS scores. In the HA subgroup, natalizumab significantly improved mean PCS, MCS, and VAS change from baseline to 2 years compared to placebo, and a greater percentage of patients experienced a clinical meaningful improvement with natalizumab over placebo (approximately 30% versus 20%, respectively).
Vision Another facet that may affect an MS patient’s QoL is change in vision over the course of disease. Visual data were collected in both AFFIRM and SENTINEL as assessed by the low-contrast Sloan letter chart (Precision Vision, LaSalle, IL). This testing captures the minimum size at which individuals can perceive letters of a particular contrast level (shade of gray on a white background). Sloan chart testing is the clinical measure that best identifies visual dysfunction in heterogeneous MS cohorts [23], with scores reflecting both vision-specific and overall health-related QoL in MS [24]. The primary evaluation was the change in visual function from baseline to 2 years. Clinically significant visual loss was defined as a two-line worsening of acuity sustained over 12 weeks. In AFFIRM, natalizumab reduced visual loss from baseline to 2 years by 47% (P , 0.001) at the 2.5% contrast level and by 35% (P 0.008) at the lowest contrast level, 1.25%. High contrast acuity (100%) was used to measure visual acuity as a descriptor of study cohorts [25] and was not a sensitive measure of change of visual loss. There were no differences among the treatment groups using 100% contrast letter charts (P 0.29). In SENTINEL, the add-on treatment group experienced a 28% reduction in visual loss as measured by the 1.25% contrast level.
Pain Another aspect of health-related QoL in MS patients is pain that can often interfere with daily routine tasks. One of the tertiary endpoints of AFFIRM and SENTINEL
Clinical Development and Benefit–Risk Profile of Natalizumab
179
trials was measuring and evaluating pain using the Medical Outcomes Study Pain Effects Scale (PES), which is part of the MSQLI. The main objective was to assess the effects of natalizumab on patients’ assessment of pain and to determine if there was a relationship between disease activity and pain in patients with RRMS [26]. Pain was evaluated at four time points during the trials: baseline, 6 months, and 1 and 2 years. Only a subset of patients were available due to limitations of valid translations of the assessment tools. A total of 358 patients from AFFIRM and 721 from SENTINEL completed the PES. Higher baseline scores on the PES, indicating worse pain, were associated with higher baseline EDSS scores (more disability). Mean baseline PES scores were significantly higher in patients with an EDSS score of at least 2.0 (AFFIRM) or at least 2.5 (SENTINEL) compared to patients with an EDSS score of 0 (P < 0.017 in both trials). In AFFIRM, mean PES scores improved from baseline in patients treated with natalizumab and worsened in the placebo group over the 2 years (0.53 versus 0.42, P 0.332). Baseline PES scores and EDSS scores were significantly associated with change in PES score over 2 years (P , 0.001). Patients with at least two relapses or disability progression had significantly higher mean PES scores compared to patients with no relapses or disability progression over 2 years. Patients in SENTINEL had mean PES scores that improved from baseline when treated with natalizumab plus IFNβ-1a and worsened in those treated with IFN-β1a alone (0.85 versus 0.26, P , 0.001). Baseline PES score, EDSS score, and patient age were significantly associated with change in PES score over 2 years (P < 0.037). Natalizumab treatment resulted in significant improvements in PES scores in patients with higher levels of pain and disability at baseline. These data complement the findings from the generic SF-36 and VAS in which patients treated with natalizumab felt better physically and had a better sense of well-being, which in part could be attributed to having less pain.
Fatigue A common and disabling symptom of MS that has lacked improvement with current therapies is fatigue. A variety of ancillary medications have been prescribed to patients with MS to help reduce fatigue, such as modafinil and methylphenidate in conjunction with platform therapies, with limited improvement. Two trials with natalizumab have been conducted to determine if it has an effect on fatigue. The first, by Putzki et al. [27], evaluated 42 patients in a prospective, open-label, uncontrolled, observational study. Fatigue was measured using two scales. In the 21-question Modified Fatigue Impact Scale (MFIS) (score range 0–84), lower total scores indicate lower impact of fatigue. The Fatigue Severity Scale (FSS), another validated scale, contains nine statements concerning the severity, impact, and frequency of fatigue on daily living, with a scale of 1–7; higher scores indicate more impact of fatigue. Both scales were administered prior to starting natalizumab and 3 and 6 months after therapy. The VAS was also administered. The baseline total score for MFIS, 45.8 17.5, decreased to 40.1 18.0 (P , 0.01) after the sixth infusion. The mean FSS at baseline, 5.2 1.4, decreased to 4.6 1.9 (P 0.01). These results suggested that natalizumab had an effect on fatigue in patients who had failed
180
Neuroinflammation
to respond to platform therapies, and that it was measurable 6 months after initiation of therapy. The ENER-G trial [28] is an ongoing multicenter, open-label, 12-month study that evaluated fatigue and cognition at baseline and at 4, 8, 12, 24, and 48 weeks after initiation of natalizumab therapy. Scales and tools used are the VAS-F (a visual analog scale for fatigue), MFIS, FSS, and an Automated Neuropsychology Assessment Metrics (ANAM) to measure cognition, which is a tertiary endpoint. The trial was designed to further evaluate the impact of natalizumab on fatigue and cognition. Preliminary data (44/89 completed patients) indicate that patients show improvement by week 12 on the primary endpoint, change in VAS-F scores from baseline (P , 0.0001), as well as improvement on FSS and total MFIS scores from baseline (P , 0.0001).
Post hoc Analyses Due to the consistent and highly efficacious results that were found in the natalizumab phase III clinical trials, several post hoc analyses were designed and conducted using novel endpoints, such as sustained improvement of physical disability and freedom from disease activity, that heretofore have not been a possibility with previous MS DMTs. Munschauer et al. [29] explored the effect of natalizumab monotherapy on sustained improvement of physical disability, as measured by EDSS, and Havrdova et al. [30] investigated whether disease remission may be an attainable goal in patients treated with natalizumab.
Sustained Improvement The idea to define sustained improvement was derived from anecdotal reports of patients who previously walked with a cane and were able to walk distances without one after being treated with natalizumab. How could you measure improvement in a disease where the standard is to measure disease progression? The same principles were applied: there had to be a sustained improvement of 1 point in EDSS for 12 or 24 weeks in patients who had an EDSS of at least 2. Analyses revealed that natalizumab significantly increased the cumulative probability of a 1-point change in disability sustained for 12 weeks by 69% relative to placebo (P 0.006) (Figure 8.5) [31]. This effect was even more robust in HA patients (at least two relapses in the year prior to study entry and at least one Gd lesion at study entry): natalizumab increased this same measurement by 143% relative to placebo (P 0.045) [29].
Disease-Free The concept of “disease-free” or “freedom of new disease activity” is derived from literature of other immune-mediated disease states such as rheumatoid arthritis, psoriasis, and Crohn’s disease, where the goal is to have full remission of disease activity in patients. Based on the data from AFFIRM, investigators speculated that natalizumab may actually be the first MS therapy to achieve such results. A critical factor
Clinical Development and Benefit–Risk Profile of Natalizumab 0.50
Cumulative probability of sustained improvement
0.45
181
Adjusted HR = 1.69 (95% Cl: 1.16, 2.45) P < 0.006
0.40 Natalizumab 29.6%
0.35 0.30 0.25
Placebo 18.7%
0.20 0.15 0.10 0.05 0.00
0 No. of patients at risk Placebo Natalizumab
12
203 417
24
36
186 362
48 60 72 Weeks from baseline
84
166 317
156 297
96
108
120
145 279
Cl = confidence interval; EDSS = Expanded Disability Status Scale; HR = hazard ratio
Figure 8.5 Cumulative probability of a 1.0-point decrease in EDSS score sustained for 12 weeks in patients with a baseline EDSS score of >2.0. CI, confidence interval; EDSS, Expanded Disability Status Scale; HR, hazard ratio.
was building the paradigm using not only the standard efficacy measures used in pivo tal clinical trials, but also those used routinely by clinics. The objective was to produce a tool that could be integrated into clinical practice to evaluate patients and their response to prescribed therapy, and subsequently signal when a change was potentially warranted. Havrdova et al. [30] determined the effects of natalizumab on the proportion of patients who were free of MS disease activity over 2 years compared to placebo from AFFIRM. Absence of disease activity was defined as no activity on clinical measures (no relapses and no sustained disability progression), radiologic measures (no Gd lesions and no new or enlarging T2-hyperintense lesions on cranial MRI), or a more stringent definition, a composite of the two [30]. Of the randomized patients in AFFIRM, 917 (206 HA, as defined as at least two relapses and at least one Gd lesion at baseline, 711 non-HA) had data available for the analysis of disease activity. A total of 64% of patients taking natalizumab and 39% of placebo patients were free of clinical disease (P , 0.0001), 58% versus 14% were free of radiologic disease activity (P , 0.0001), and 37% versus 7% met the most stringent criteria, free of both clinical and radiologic disease activity over 2 years (P , 0.0001) (Table 8.3) [30]. The proportion of patients who were free of disease activity on the composite of clinical and radiologic measures in the natalizumab group was greater in the second year than the first year (68% versus 47%), but was similar in the placebo group (13% versus 15%), suggesting that natalizumab is not only effective during early treatment, but that its efficacy may also increase over time [30].
182
Neuroinflammation
Table 8.3 Proportions of Patients Without Disease Activity over 2 Years Placebo
Natalizumab
Absolute Difference (95% CI)
No relapse
130/300 (43%)
422/598 (71%)
27.3% (20.6–34.0%)
No progression
205/286 (72%)
486/581 (84%)
120% (5.9–17.9%)
No relapse and no progression
117/301(39%)
383/596 (64%)
25.4% (18.7–32.1%)
No gadoliniumenhancing lesions
164/290 (57%)
553/583 (95%)
38.3% (32.3–44.3%)
No new or enlarged T2 lesions
44/296 (15%)
346/593 (58%)
43.4% (37.7–49.1%)
No gadoliniumenhancing lesions and no new or enlarged T2 lesions
42/296 (14%)
342/593 (58%)
43.5% (37.9–49.1%)
No gadoliniumenhancing lesions, no new or enlarged T2 lesions, and no relapse
25/303 (8%)
244/600 (41%)
32.4% (27.4–37.4%)
No radiologic or clinical activity
22/304 (7%)
220/600 (37%)
29.5% (24.7–34.3%)
P , 0.0001, natalizumab versus placebo, for all individual and combined disease measures.
Real-World Data The question of how a therapy used in a controlled clinical trial setting will perform once available to the general public is a longstanding one in the medical community, and not only subject to MS treatments. However, natalizumab, due to the voluntary withdrawal and indication label revision, has initiated a more critical evaluation. Within AFFIRM, 92% of the patients had not been exposed to a DMT, while the label currently states that natalizumab is generally recommended for patients who are intolerant to a DMT. Due to the risk of progressive multifocal leukoencephalopathy (PML), in most cases natalizumab is initiated after a minimum trial of one interferon product or GA. The question then becomes: Does the level of efficacy seen in the phase III trials translate to the population treated in clinical practice? Several registries and prospective efficacy trials have shown that even in a population that is older, had a longer duration of MS disease, and had a higher EDSS at treatment initiation with natalizumab, the benefit of natalizumab is still robust and consistent with data from the original AFFIRM analysis [32–35]. These data are summarized in Tables 8.4 and 8.5.
Clinical Development and Benefit–Risk Profile of Natalizumab
183
Table 8.4 Demographics of Prospective Efficacy Trials Versus AFFIRM Demographic
AFFIRM [10]
Oturai et al. [33]
Putzki et al. [34,35]
Outteryck et al. [32]
Patients (n)
627
234
97
384
Age (meanSD)
35.68.5
39.5a
36.54.7
38.059.4
Female, n (%)
449 (72)
NA
67 (69.1)
276 (72)
9.5330.8
7a
94
93.8
94.4
2.31.2
4.0a (0–8)c
3.60.8
3.531.68
12, 24
11.3
19.36.1
8.34.6
Duration of disease (meanSD years)
5.0
8
Patients receiving prior MS therapies (%)
8
EDSS (meanSD) No. of infusions (meanSD)
a
b
References [10,32–35]. a Median data. b Months. c Range.
Safety Natalizumab is a humanized monoclonal antibody with a novel mechanism of action. Both of these factors would be expected to influence the safety profile of this product. Subsequently, infusion/hypersensitivity reactions, immunogenicity, rates of infection, malignancies, and impact on germane cell subsets were carefully examined in the phase III and post marketing clinical trials. In the natalizumab phase III clinical program, three cases of PML occurred—two in the MS trials and one in the Crohn’s trial [36]. Details of these cases have been published elsewhere [37–39]. The unexpected occurrence of PML led to the design of several additional clinical studies (dose-suspension study, STRATA and TYGRIS [TYABRI Global Observation Program in Safety]) to study the safety of natalizumab in the post marketing setting after the removal and return of natalizumab to the commercial setting. As a result of the risk of PML, a risk map was also developed and implemented in the United States to ensure restricted distribution of natalizumab to registered prescribers, infusion centers, and pharmacies associated with infusion centers: the TOUCH™ (Tysabri Outreach: Unified Commitment to Health) Prescribing Program. Only patients who meet all of the conditions outlined in TOUCH are enrolled and administered natalizumab. The TOUCH system is designed to minimize morbidity and mortality due to PML via early detection through clinical vigilance. The dose-suspension safety study was conducted to determine whether PML had developed in any other patients who had been treated with natalizumab commercially or in any of the clinical trials for MS, Crohn’s disease, or rheumatoid arthritis [40]. An expert panel evaluated the patient’s clinical history, physical examination,
184
Neuroinflammation
Table 8.5 Summary of Relapse and EDSS Data of Prospective Efficacy Trials Versus AFFIRM Measure
AFFIRM [10]
Oturai et al. [33]
Putzki et al. [34,35]
Outteryck et al. [32]
ARR pre-Tysabri (mean)
1.53
2.53
2.3
2.19
ARR post-Tysabri (mean)
0.22
0.68
0.17
0.59
% Reduction
85.6
73.0
92.6
73.0
Patients who are relapsefree (%)
80 at 1 year 72 at 2 years
NA
80.4
60
EDSS pre-Tysabri (mean)
2.0
4.0a
3.6
3.53
EDSS post-Tysabri (mean)
NA
NA
3.2
3.02
References [10,32–35]. a Median data.
brain MRI, and cerebrospinal fluid tested for JC virus DNA to confirm possible cases of PML. STRATA is an open-label, multinational study that enrolled a subset of over 1000 patients who had completed AFFIRM, SENTINEL, or GLANCE (feeder studies), as well as the dose-suspension safety study, to determine the long-term safety and efficacy of natalizumab. The US patients were treated for 24–48 weeks with natalizumab and then transitioned into the TOUCH system; some patients were also enrolled in TYGRIS. In other countries, patients were treated for 48 weeks with natalizumab and then transitioned into a 4-year extension study to assess the safety and efficacy of natalizumab. TYGRIS, a global observational study, is the largest long-term safety study in MS conducted to date. TYGRIS will follow approximately 5000 patients over 5 years to evaluate the long-term safety of natalizumab in clinical practice as well as identify any unexpected safety issues. Consistent with natalizumab’s mechanism of action, elevations in lymphocytes, monocytes, eosinophils, and basophils were observed in peripheral blood, with levels returning to baseline levels approximately 16 weeks after treatment discontinuation in the phase III trials. Neutrophil counts were not affected [10,11]. Some level of immunogenicity is to be expected with monoclonal antibody biologics and was minimally observed in natalizumab-treated patients [7,8,41]. Binding antibodies against natalizumab were assessed with the use of ELISA. Positive samples (0.5 μg/mL) were further tested in a flow-cytometry assay to determine whether these antibodies interfered with the binding of natalizumab to α-4 integrin. Results of the functional assay were highly correlated with the results obtained with ELISA. Nine percent of natalizumab patients experienced transient anti-natalizumab antibodies (detectable antibodies at one time point) and 6% experienced persistent anti-natalizumab antibodies (detectable antibodies at two or more time points at least 6 weeks apart) over the 2 years of the trial. Patients with anti-natalizumab antibodies were more likely to
Clinical Development and Benefit–Risk Profile of Natalizumab
185
Table 8.6 Adverse Events (AEs) and Serious Adverse Events (SAEs) from Natalizumab Clinical Trials Event AE/SAE
AFFIRM
STRATA
TYGRIS
TOP
Headache
38%
11%
–
–
Fatigue
27%
8%
–
–
Arthralgia
19%
–
–
–
Nasopharyngitis
32%
19%
–
–
Hypersensitivity
,1%
,1%
,1%
,1%
Infection/infestations
3.2%
2%
1.5%
1.1
Upper respiratory infections
13%
13%
,1%
–
Urinary tract infections
20%
11%
,1%
–
Neoplasms
,1%
1%
,1%
,1%
PML
No
Yes
Yes
Yes
AEs from the SENTINEL trial were not included since it did not contain a natalizumab-only group and AEs from IFN-b1a would confound the results reported. SAEs reported in SENTINEL were similar to those reported in AFFIRM. Two cases of PML were reported in SENTINEL [10,43–46].
have infusion-related reactions (defined as any reaction that occurred within 2 h of the infusion) and loss of efficacy (as measured by disease progression [P < 0.05], relapse rate [P 0.009], and MRI [P < 0.05], compared to antibody-negative patients) [41]. Infusion reactions and hypersensitivity reactions are expected events with monoclonal antibodies. In the phase III studies, infusion reactions were defined as any event that occurred within 2 h of the start of the infusion. Hypersensitivity reactions were defined as hypersensitivity, allergic reactions, anaphylactic or anaphylactoid reactions, as well as urticaria, hives, or allergic reaction, as reported by the investigator [10]. Interestingly, data from the STRATA study have shown that infusion reactions, hypersensitivity reactions, and persistent antibody positivity occurred most frequently in patients who had received one or two natalizumab infusions prior to re-dosing in STRATA [42]. The most common adverse and serious adverse events from these trials are listed in Table 8.6. In AFFIRM, natalizumab was well tolerated, with the majority of adverse events and serious adverse events similarly reported in both treatment groups. These data from STRATA, TYGRIS, and TOP are consistent with the current safety profile of natalizumab. With the development of new compounds to treat MS comes the possibility of unknown effects on the immune system and the associated risks and sequelae. This was the case with natalizumab and the unexpected serious adverse event of PML. PML is a rare lytic, opportunistic infection of oligodendrocytes and astrocytes, hypothesized to be caused by the reactivation of JC virus, a polyomavirus that typically infects individuals during childhood and adolescence [47]. PML results from a
186
Neuroinflammation
convergence of multiple viral, genetic, and immunologic risk factors, many of which are unknown [48–50]. Typically, PML has occurred in individuals who are immunocompromised, predominantly HIV and transplant patients, and it is generally fatal [51]. There are no known interventions that can reliably prevent or adequately treat PML if it occurs [36]. Symptoms at presentation may include cortical symptoms and signs, behavioral and neuropsychological alterations, retrochiasmal visual effects, and hemiparesis that progresses over time. Lesions are generally diffuse and asymmetric, extending homogenously confined to white matter tracks, and they show continuous progression. The incidence of PML in natalizumab-treated patients has been estimated to be 1:1000 from the initial clinical trials [40,52]. Clinical vigilance for new neurologic symptoms suggestive of PML, and new lesions as measured by MRI FLAIR and T2, assist in early detection and possibly improved outcomes. In the post marketing setting, additional cases of PML have been reported, and it has been determined that the risk of PML increases with longer treatment duration. The risk in patients who have received 24–36 doses is generally similar to the rates seen in the clinical trials [56]. There is limited experience beyond 3 years [36,52]. In STRATA, the risk of PML appeared to increase with treatment duration, similar to the other post marketing cases [43]. In addition to duration of natalizumab treatment, the risk of PML is also increased in patients who have been treated with an immunosuppressant (e.g. mitoxantrone, methotrexate, cytoxan, azothiaprine, myclophenolate mofetil, cladribine, rituiximab) prior to receiving natalizumab. This increased risk appears to be independent of natalizumab treatment duration [36]. At first suspicion, holding natalizumab therapy is recommended while PML is ruled out using cerebrospinal fluid JC virus DNA and comparative MRIs, if available. Careful evaluation of the post marketing PML cases has elucidated the following: neurologic deficits evolve over several weeks and can include changes in cognition, behavior, and personality; speech abnormalities, hemiparesis, monoclinic seizures, or visual disturbances may also appear as presenting symptoms. Lesions are often hyperintense on T2-weighted and FLAIR images; they are typically without mass effect or edema, and they generally occur in areas not previously affected by MS [56]. In contrast to PML seen with HIV, 40–50% of natalizumab PML cases had Gd lesions at diagnosis. This finding suggests that inflammatory responses might be present in PML lesions during natalizumab therapy and implies that new contrast-enhancing lesions cannot be assumed to be exacerbations of MS in this setting [56]. Confirmation of PML requires a progressive course, clinically and/ or radiologically, as well as positive cerebrospinal fluid JC virus DNA using quantitative polymerase chain reaction (PCR) analysis. If the initial evaluations for PML are negative but clinical suspicion for PML remains, the physician should continue to hold natalizumab and repeat evaluations [36]. A brain biopsy is considered a definitive diagnosis and was only required in one case [56]. Many of the post marketing PML cases had very low JC virus DNA copies at diagnosis; therefore, using an ultrasensitive quantitative real-time PCR assay is recommended (50 copies/mL or less). Undetectable JC virus by PCR testing does not rule out PML. Early diagnosis is important in limiting the degree of permanent brain damage before immune reconstitution can be accomplished. Accelerating removal of natalizumab using immunoadsorption or plasma exchange (PLEX) has occurred in the majority of cases [56]. The goal is to allow reconstitution
Clinical Development and Benefit–Risk Profile of Natalizumab
187
of the immune system through immune surveillance of the CNS to combat JC virus and decrease JC virus pathology [52]. While PLEX has not been studied in natalizumabtreated PML patients, three sessions of PLEX over 5–8 days were shown to accelerate natalizumab clearance in a study of 12 patients with MS who did not have PML, although in the majority of patients α-4 integrin receptor binding remained high [53]. Generally, natalizumab PML patients have experienced immune reconstitution inflammatory syndrome (IRIS) within days to several weeks after natalizumab is removed from the circulation [56]. IRIS is a consequence of reconstituted leukocyte trafficking into the CNS following the decline of serum concentrations of natalizumab in the setting of PML. IRIS is characterized by a worsening of the patient’s neurologic status after the return of immune function. This clinical decline can lead to serious neurologic complications and/or death if not appropriately monitored and treated [54]. Development of enlarging MRI lesions or increased Gd enhancement on MRI scans supports the diagnosis of IRIS, but these scan changes are not necessary for diagnosis because inflammatory brain responses occur before MRI changes can be detected, and enhancement might be suppressed by corticosteroid use. When natalizumab is removed, resulting in renewed immune surveillance, the inflammatory response is robust. High-dose corticosteroid therapy, typically 1 g IV methylprednisolone daily for 5 days, followed by tapered doses of oral steroids, has been consistently used to treat IRIS and often results in clinical improvement. Since the duration of IRIS is uncertain, repeated courses of IV steroids may be required. The duration and timing of corticosteroid use remains to be refined [52]. Symptoms of CNS inflammation, signs of increased intracranial pressure, gadolinium enhancement surrounding the PML lesion, and new neurologic symptoms should alert health care professionals to the onset of IRIS. Since the immune system is generally intact in patients with MS instead of severely impaired, as in HIV patients, IRIS may be more robust in patients treated with natalizumab [52]. As of the date of this publication, the survival rate of natalizumab-treated PML patients is greater than 75%, considerably different from the survival rate of 30–50% reported in HIV patients [51,52]. Many of the MS PML patients who have survived, however, have severe morbidity and substantial and permanent disability [56]. Factors that may predict mortality include lesion size and location, age at diagnosis, and longer time from first symptoms of PML to diagnosis. Currently there are insufficient data to predict survival outcomes in patients treated with natalizumab who develop PML. Careful assessment, including genetic analyses of virus and host, and long-term monitoring of survivors might help further characterize risks [52].
Summary In November 2004, the treatment landscape for MS changed with the introduction of natalizumab, the first-in-class SAM inhibitor approved for MS. Natalizumab offers patients an alternative treatment option to the gold-standard DMTs currently available: IFN-β1b, IFN-β1a, and GA. Results from all clinical trials evaluating natalizumab have shown a consistently high level of efficacy as measured by traditional
188
Neuroinflammation
clinical and radiologic measures (EDSS, ARR, T2 and Gd lesions) as well as novel treatment assessments (visual acuity, MSFC, freedom from disease activity, and sustained disability improvement). The strong and diverse efficacy profile of natalizumab to date has not been shown by other classes of agents used in the treatment of MS; however, the safety issue of PML remains a concern and an active area of research. PML associated with natalizumab treatment appears to be different in presentation and outcome than PML associated with HIV [52]. This could be due to the underlying intact immune system of MS patients and/or could be a function of natalizumab’s mechanism of action. Research of JC virus and PML continues with the hope of providing insight into risk stratification of PML, determining influential genetic factors, optimizing treatment of IRIS, and identifying factors that may predict PML susceptibility [56]. As new treatment modalities are developed and potentially further alter the immune system via their mechanism of action, the benefit–risk ratios will have to be continually evaluated for each patient. With more therapeutic options becoming available for MS, treatment paradigms will emerge, with natalizumab remaining an integral part in managing the unmet needs of MS patients.
References [1] Miller DH, Khan OA, Sheramata WA, Blumhardt LD, Rice GPA, Libonati MA, et al. A controlled trial of natalizumab for relapsing multiple sclerosis. N Engl J Med 2003;348:15–23. [2] Ghosh S, Goldin E, Gordon FH, Malchow HA, Rask-Madsen J, Rutgeerts P, et al. Natalizumab for Crohn’s disease. N Engl J Med 2003;348:24–32. [3] Frohman EM, Racke MK, Raine CS. Multiple sclerosis: the plaque and its pathoge nesis. N Engl J Med 2006;354:942–55. [4] Noseworthy JH, Lucchinetti C, Rodriguez M, Weinshenker BG. Multiple sclerosis. N Engl J Med 2000;343:938–52. [5] Yednock TA, Cannon C, Fritz L, Sanchez-Madrid F, Steinman L, Karin N. Prevention of experimental autoimmune encephalomyelitis by antibodies against alpha 4 beta 1 integrin. Nature 1992;356:63–6. [6] Jackson DY. Alpha 4 integrin antagonists. Curr Pharm Des 2002;8:1229–53. [7] Sheremata WA, Vollmer TL, Stone LA, Willmer-Hulme AJ, Koller M. A safety and pharmacokinetic study of intravenous natalizumab in patients with MS. Neurology 1999;52:1072–7. [8] Rudick RA, Sandrock A. Natalizumab: α4-integrin antagonist selective adhesion molecule inhibitors for MS. Expert Rev Neurother 2004;4:571–80. [9] Goodman AD, Rossman H, Bar-Or A, Miller A, Miller DH, Schmierer L, et al. GLANCE results of a phase 2, randomized, double-blind, placebo-controlled study. Neurology 2009;72:808–12. [10] Polman CH, O’Connor PW, Havrdova E, Hutchinson M, Kappos L, Miller DH, et al. A randomized, placebo controlled trial of natalizumab for relapsing multiple sclerosis. N Engl J Med 2006;354:899–910. [11] Rudick RA, Stuart WH, Calabresi PA. Natalizumab plus interferon beta-1a for relapsing multiple sclerosis. N Engl J Med 2006;354:911–23. [12] Butzkueven H, Kappos L, Trojano M, Wiendl H, Pellegrini F, Belachew S, et al. Safety and impact on disease outcomes of natalizumab patients with relapsing remitting MS in
Clinical Development and Benefit–Risk Profile of Natalizumab
[13]
[14] [15]
[16] [17]
[18]
[19]
[20]
[21] [22]
[23]
[24]
[25]
[26]
[27] [28]
189
clinical practice. Presented at the 62nd Annual Meeting of the American Academy of Neurologists. Toronto, Canada; April 13, 2010. Miller DH, Soon D, Fernando KT, MacManus DG, Barker GJ, Yousry TA, et al. MRI outcomes in a placebo-controlled trial of natalizumab in relapsing MS. Neurology 2007;68:1390–401. Rudick RA, Panzara MA. Natalizumab for the treatment of relapsing multiple sclerosis. Biologics 2008;2:189–99. Hutchinson M, Kappos L, Calabresi PA, Confavreux C, Giovannoni G, Galetta SL, et al. The efficacy of natalizumab in patients with relapsing multiple sclerosis: subgroup analyses of AFFIRM and SENTINEL. J Neurol 2009;256:1035–7. Cree BAC, Al-Sabbagh A, Bennett R, Goodin D. Response to interferon beta-1a treatment in African American multiple sclerosis patients. Arch Neurol 2005;62:1681–3. Galetta SL, O’Connor PW, Havrdova E, et al. for the AFFIRM and SENTINEL Investigators. The effects of natalizumab on disability progression as measured by the Multiple Sclerosis Functional Composite (MSFC) and visual function in patients with relapsing MS. J Neurol Sci 2005(Suppl. 1):S71–2. Rudick RA, Polman CH, Cohen JA, Walton MK, Miller AE, Confavreux C, et al. Assessing disability with the multiple sclerosis composite score. Mult Scler 2009;15:984–97. Rudick RA, Miller D, Hass S, Hutchinson M, Calabresi PA, Confavreux C, et al. Health-related quality of life in multiple sclerosis: effects of natalizumab. Ann Neurol 2007;62:335–46. The Consortium of Multiple Sclerosis Centers Health Services Research Subcommittee. Multiple sclerosis quality of life inventory: a user’s manual. New York: National Multiple Sclerosis Society; 1997. Ware JE, Sherbourne CD. The MOS SF-36 short-form health survey (SF-36). Conceptual framework and item selection. Med Care 1992;30:473–81. Kieseier BC, Putzki N, Bates D, Hutchinson M, Pace A, Hyde R. The effect of natalizumab therapy on quality of life outcomes in multiple sclerosis patients with highly active and non-highly active disease. Presented at the 25th Congress of the European Committee for Treatment and Research in Multiple Sclerosis, September 9–12, 2009, Dusseldorf, Germany. Mult Scler 2009;15(Suppl. 9): Abstract P809. Balcer LJ, Baier MI, Cohen JA, Kooijmans MF, Sandrock AW, Nano-Schiavi ML, et al. Contrast letter acuity as a visual component for the multiple sclerosis functional composite. Neurology 2003;61:1367–73. Fisher JB, Jacobs DA, Markowitz C, Galetta SL, Volpe NJ, Nano-Schiavi ML, et al. Relation of visual function to retinal nerve fiber layer thickness in multiple sclerosis. Ophthalmology 2006;113:324–32. Balcer LJ, Galetta SL, Calabresi PA, Confavreux C, Giovannoni G, Havrdova E, et al. Natalizumab reduces visual loss in patients with relapsing multiple sclerosis. Neurology 2007;68:1299–304. Miller D, Rudick R, Calabresi P, et al. Pain in patients with MS: effects of natalizumab. Presented at American Academy of Neurology 60th Annual Meeting Abstract P04.181, April 12–19, 2008. Chicago, IL; 2008. Putzki N, Yaldizli O, Tettenborn B, Diener HC. Multiple sclerosis associated fatigue during natalizumab treatment. J Neurol Sci 2009;285:109–13. Wilken J, Kane RL, Sullivan CL, Gudesblatt M, Lucas S, Fallis R, et al. Evaluation of natalizumab for the relief of multiple sclerosis associated fatigue: the ENER-G Study, P06.142. Presented at the 62nd Annual Meeting of the American Academy of Neurology, April 10–17, 2010. Toronto, Canada; 2010.
190
Neuroinflammation
[29] Munschauer F, Giovannoni G, Lublin F, O’Connor PW, Phillips JT, Polman CH, et al., Sustained improvement in physical disability with natalizumab in patients with relapsing multiple sclerosis. Presented at the 61st Annual Meeting of the American Academy of Neurologists. Seattle, WA; April 30, 2009. [30] Havrdova E, Galleta S, Hutchinson M, Stefoski D, Bates D, Polman CH, et al. Effect of natalizumab on clinical and radiological disease activity in multiple sclerosis: a retrospective analysis of the natalizumab safety and efficacy in relapsing-remitting multiple sclerosis AFFIRM) study. Lancet Neurol 2009;8:254–60. [31] Coyle PK, Jeffery DR. Clinical efficacy and benefit of natalizumab. Mult Scler 2009;15:S7–S15. [32] Outteryck O, Ongagna JC, Zepher H, Fleury MC, Lacour A, Blanc F, et al. Demographic and clinical characteristics of French patients treated with natalizumab in clinical practice. J Neurol 2009;257:207–11. [33] Oturai AB, Koch-Henriksen N, Petersen T, Jensen PEH, Sellebjerg F, Sorensen PS. Efficacy of natalizumab in multiple sclerosis patients with high disease activity: a Danish nationwide study. Eur J Neurol 2009;16:420–3. [34] Putzki N, Kollia K, Woods S, Igwe E, Diener HC, Limmroth V. Natalizumab is effective as second line therapy in the treatment of relapsing remitting multiple sclerosis. Eur J Neurol 2009;16:424–6. [35] Putzki N, Yaldizli O, Maurer M, Cursiefen S, Kuckert S, Klawe C, et al. Efficacy of natalizumab in second line therapy of relapsing-remitting multiple sclerosis: results from a multi-center study in German speaking countries. Eur J Neurol 2010;17:31–7. [36] Tysabri™ Prescribing Information. Biogen Idec, Inc. Version 10. July 2010. [37] Langer-Gould A, Atlas S, Bollen A, Pelletier D. Progressive multifocal leukoencephalopathy in a patient treated with natalizumab. N Engl J Med 2005;353:375–81. [38] Kleinschmidt-DeMasters BK, Tyler KL. Progressive multifocal leukoencephalopathy complicating treatment with natalizumab and interferon beta-1a for multiple sclerosis. N Engl J Med 2005;353:369–74. [39] Van Assche G, Van Ranst M, Sciot R, Dubois B, Vermeire S, Noman M, et al. Progressive multifocal leukoencephalopathy after natalizumab therapy for Crohn’s disease. N Engl J Med 2005;353:362–8. [40] Yousry TA, Habil M, Major E, Ryschkewitsch C, Fahle G, Fischer S, et al. Evaluation of patients treated with natalizumab for progressive multifocal leukoencephalopathy. N Engl J Med 2006;354:924–33. [41] Calabresi PA, Giovannoni G, Confavreux C, Galetta SL, Havrdova E, Hutchinson M, et al. The incidence and significance of anti-natalizumab antibodies results from AFFIRM and SENTINEL. Neurology 2007;69:1391–403. [42] Polman CH, Goodman AD, Kappos L, Lublin FD, O’Connor PW, Rudick RA, et al. Safety and effectiveness of natalizumab re-dosing and treatment in the STRATA Study. Presented at the World Congress on Treatment and Research in Multiple Sclerosis. Montreal, Canada; September 18, 2008. [43] Polman CH, Goodman AD, Kappos L, Lublin FD, O’Connor PW, Rudick RA, et al. Efficacy and safety of natalizumab in the STRATA Study. Presented at the 62nd Annual Meeting of the American Academy of Neurology. Toronto, Ontario, Canada; April 15, 2010. [44] O’Connor PW, Polman CH, Goodman AD, Kappos L, Lublin FD, Rudick RA, et al. Efficacy and safety of natalizumab in the STRATA Study. Presented at the 61st Annual Meeting of American Academy of Neurology. Seattle, WA; April 30, 2009.
Clinical Development and Benefit–Risk Profile of Natalizumab
191
[45] O’Connor PW, Polman CH, Goodman AD, Lublin FD, Miller DH, Polman CH, et al. Safety and effectiveness of natalizumab re-dosing and treatment in the STRATA Study. Presented at the 25th Congress of the European Committee for Treatment and Research in Multiple Sclerosis. Dusseldorf, Germany; September 11, 2009. [46] Stangel M, Sorenson PS, Peterson T, Vermersch P, De Seze J, Confavreux C. Natalizumab utilization and safety in the TYGRIS Program in the European Union and Canada. Presented at the 25th Congress of the European Committee for the Treatment and Research in Multiple Sclerosis. Dusseldorf, Germany; September 11, 2009. [47] Chesters P, Heritage J, McCance D. Persistence of DNA sequences of BK virus and JC virus in normal human tissues and diseased tissue. J Infect Dis 1983;147:676–84. [48] Major E. Progressive multifocal leukoencephalopathy in patients on immunomodulatory therapies. Ann Rev Med 2010;61:35–47. [49] Pietropaolo V, Videtta M, Fioriti D, et al. Rearrangement patterns of JC virus noncoding control region from different biological samples. J Neurovirol 2003;9:603–11. [50] Sunyaev S, Lugovskoy A, Simon K, et al. Adaptive mutation in the JC virus protein capsid are associated with progressive multifocal leukoencephalopathy (PML). PLoS Genet 2009;5:e1000368. [51] Koralnik IJ. New insights into progressive multifocal leukoencephalopathy. Curr Opin Neurol 2004;17:365–70. [52] Clifford D, DeLuca A, Simpson D, Arendt G, Giovannoni G, Nath A. Natalizumabassociated progressive multifocal leukoencephalopathy in patients with multiple sclerosis: lessons from 28 cases. Lancet Neurol 2010;9:438–46. [53] Khatri B, Man S, Giovannoni G, Koo AP, Lee J-C, Tucky B, et al. Effect of plasma exchange in accelerating natalizumab clearance and restoring leukocyte function. Neurology 2009;72:410–7. [54] Shelbourne SA, Montes M, Hamil RJ. Immune reconstitution inflammatory syndrome: more answers, more questions. J Antimicrob Chemother 2006;57:167–70. [55] Cree B, Stuart W, Tornatore C, Jeffery D, Pace A, Cha C. Natalizumab significantly improved relapses and MRI outcomes in patients of African descent with relapsing multiple sclerosis. Presented at American Academy of Neurology 61st Annual Meeting Abstract P06.143, April 25–May 2, 2009. Seattle, WA; 2009. [56] Bozic C, Belcher G, Kim R, Hyde R, Lynn F, Kooijmans-Coutinho M, et al., Natalizumab in patients with relapsing multiple sclerosis: updated utilization and safety results from TOUCH™ on TYGRIS. Presented at the 61st Annual Meeting of the American Academy of Neurology. Seattle, WA; April 28, 2009. [57] Sheremata, WA, Minagar A, Alexander, SJ, Vollmer, T. The Role of Alpha-4 Integrin in the Aetiology of Multiple Sclerosis Current Knowledge and Therapeutic Implications. CNS Drugs 2005;19 (11): 909–22.
9 Remyelination in Multiple Sclerosis Martin Stangel, Refik Pul, Thomas Skripuletz, Corinna Trebst, Elke Voss, Viktoria Gudi Department of Neurology, Hannover Medical School, Hannover, Germany
Introduction Since multiple sclerosis (MS) has a peak onset of disease in early adulthood and therefore contributes to the most significant cause of nontraumatic disability among young adults [1], repair of damaged tissue is warranted. The histopathologic hallmarks of MS include demyelination, inflammation, gliosis, and axonal damage [2] with demyelination being the most prominent feature. Remyelination is the natural repair mechanism of demyelination, and it is proposed that remyelination protects against progressive axonal injury [3] and consequently also diminishes long-term disability in MS patients. Therefore, therapeutic efforts that are aimed at supporting endogenous repair/remyelination mechanisms are clearly needed. Animal models demonstrate that remyelination can be substantial [4]. It is thought that remyelination recapitulates many steps also occurring during physiologic myelin development [5,6]. Although many factors have been identified that drive this process, it is still not well understood why remyelination fails in MS [7]. Remyelination is the result of migration, proliferation, and differentiation of oligodendrocyte precursor cells (OPCs) that contact with the axon and finally build myelin sheaths. During development oligodendrocytes express different molecules that can be considered as a marker for different developmental stages of oligodendrocytes (Figure 9.1). The different stages need to be orchestrated by many signals, and failure at any stage probably leads to remyelination failure.
Remyelination in MS Based on postmortem histopathologic studies it is known that remyelination of demyelinated plaques occurs in individuals with MS. Remyelination is particularly associated with early stages of the disease and acute phases, but it can also occur in later and chronic stages of the disease [8,9]. Remyelination can be quite extensive in a subset of patients, but there is a profound diversity in the amount of remyelination between cases. In some cases virtually all lesions showed signs of remyelination, whereas in others only small amounts of remyelination were found [8]. This diverse capacity to form remyelinated plaques did not correlate with clinical subtype, age of disease onset, Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00009-5 © 2011 Elsevier Inc. All rights reserved.
194
Neuroinflammation
Precursor
Olig2 PDGFa-R Nestin PSANCAM
Progenitor
A2B5 PDGFa-R GD3 NG2
ProOligodendrocyte
Immature Oligodendrocyte
O4 GD3 NG2
O1 O4 GalC CNP
Mature Oligodendrocyte
O1 O4 GalC CNP MBP PLP MAG MOG
Migration Proliferation Differentiation Myelination
Figure 9.1 Stages and markers characteristic in the development of oligodendroglial lineage cells.
disease course, or gender [8,10]. In the majority of patients, a heterogeneous pattern of remyelination capacity of individual lesions was observed. Also, the location of a lesion influences the likelihood of remyelination, with subcortical lesions showing more signs of remyelination than periventricular or cerebellar lesions. Overall, the extent of remyelination in chronic lesions is less than in active lesions [9]. Recently, the presence of lesions in the gray matter has increasingly been recognized. The amount of cortical lesions is extensive and is also thought to contribute to disease progression and disability in MS patients. Cortical lesions are able to remyelinate and showed in one study even a higher capacity to remyelinate than white matter lesions [11]. Interestingly, in all studies complete absence of remyelination was rare and was observed in only a small subset of patients, indicating that remyelination is a natural and frequent process after demyelination in the majority of patients and lesions. Consequently, the challenge is to identify the factors that lead to the failure of remyelination of MS lesions. This is likely to be a failure of multiple factors. The essential processes for remyelination are recruitment of oligodendrocyte progenitors, differentiation, axon–oligodendrocyte interaction, and myelination. These processes could clearly be affected by changes in lesion environment and increasing axonal
Remyelination in Multiple Sclerosis
195
compromise, as suggested by the studies on remyelination in MS autopsy and biopsy material.
The Role of Animal Models for the Study of Remyelination Animal models are a helpful tool in exploring the underlying mechanisms of central nervous system (CNS) remyelination after experimentally induced demyelination. However, since demyelination is induced in an artificial way, all models only partly mimic the complex processes of remyelination in MS. Every model has its advantages and disadvantages, which can be subdivided into those specific for the species under investigation (e.g., mice, rats, guinea pigs) and others dealing with the induction and monitoring of the disease in the animal. Nevertheless, rodent models are needed to study basic mechanisms of successful remyelination, which is not possible in humans. Since no animal model covers the complex pathomechanisms of human MS, the various animal models should be used to selectively analyze remyelination processes dependent on the hypothesis investigated. Ideally, the findings in one model should be confirmed and supplemented in another model of demyelination. To induce CNS demyelination, different protocols and a variety of myelin insults, such as toxins, inflammatory reactions, viruses, and genetic myelin mutations, can be used.
Toxin-Induced Demyelination Toxic animal models are commonly used to study remyelination after experimentally induced demyelination since the processes are synchronized and the lesion location is known. Injections of demyelinating toxins such as lysolecithin or ethidium bromide into CNS tissue lead to focal myelin loss in the selected CNS region of interest [12]. Spontaneous remyelination is regularly observed after focal toxic demyelination. Remyelination can be stopped by irradiation of the animals to prevent proliferation of glial cell progenitors. Such an experimental design is mainly used for transplantation studies to differentiate between endogenous remyelination and remyelination achieved by the transplanted cells. Besides the advantage of a predefined demyelinating area, toxin injections induce a small traumatic injury of the blood– brain barrier (BBB) and brain, leading to recruitment of peripheral inflammatory cells such as macrophages and T cells. In addition to the injection of toxins into the CNS, feeding of cuprizone is another widely accepted toxic model of demyelination in rodents [4]. In this model predominantly young adult mice are fed with the copper chelator cuprizone (bis-cyclohexanone oxaldihydrazone), which leads to a reproducible demyelination within 5–6 weeks. After removal of the toxin from the diet, spontaneous remyelination occurs. Cuprizone feeding has been used mainly to study experimental demyelination and remyelination in the cerebral white matter tract corpus callosum. However, it was recently shown that other areas, like the hippocampus and the cerebral and cerebellar cortex, are also affected [13–15]. Since the time course of demyelination and the severity of
196
Neuroinflammation
glial reactions are different in the white and gray matter, the cuprizone model offers the opportunity to study the different pathomechanisms of gray and white matter demyelination and remyelination. The cuprizone model offers consistent and anatomically reproducible demyelination and remyelination processes that are easy to detect. In contrast to models of autoimmune encephalomyelitis or models of focal induced demyelination in the cuprizone model, no BBB breakdown occurs. In this context, the pathomechanisms of remyelination can be analyzed, bypassing possible interferences of peripheral immune cells.
Inflammation-Induced Demyelination Experimental autoimmune encephalomyelitis (EAE) is the animal model most frequently used to analyze inflammation in the CNS. EAE can be induced actively in susceptible animal species (mice, rats, rabbits, guinea pigs, nonhuman primates) by injection of CNS tissue or antigens (e.g., MBP, MOG, PLP, MOBP, MAG, OSP, Nogo-A, CNPase, α-B-cystallin, S-100) [16,17]. As a consequence of antigen injection, reactive T lymphocytes arise, migrate into the CNS, recognize their target antigen, and initiate an autoimmune response leading to CNS tissue damage. EAE can also be induced by adoptive transfer of activated myelin-reactive T lymphocytes by intravenous injection into naïve animals. The inflammatory CNS reaction and demyelination are dependent on the different immunization protocols and the species of the animal and genetic background [16,17]. Lewis rats, for example, are highly responsive to sensitization against MBP but barely respond to MOG. However, in C57BL/6 mice, reactivity of the two myelin proteins is opposite. Furthermore, anti-MOG antibodies seem to be crucial for demyelination. In MBP-induced EAE in which inflammation is high but only minor demyelination is present, infusion of anti-MOG antibodies led to a severe demyelination [18]. Although it is an excellent model to study CNS inflammation, assessment of remyelination is especially complicated in EAE, in which demyelination and remyelination can occur concurrently. This makes it difficult to distinguish an area that is not completely demyelinated from an area where remyelination begins. Thus, the interpretation of effects of remyelination-enhancing factors might be limited. Another disadvantage of EAE is its unpredictable localization in the spinal cord. Lesion locations cannot be predicted exactly as lesions can occur throughout the spinal cord.
Viral-Induced Demyelination Virus-induced infections of the CNS serve as another inflammation-mediated model of demyelination in animals. Demyelination can be initiated by infection with a diverse group of viruses in susceptible rodents. Furthermore, the viral models demonstrate how viruses enter the brain, spread, persist, and interact with immune responses. The Theiler’s murine encephalomyelitis virus (TMEV)-induced demyelination model has been extensively proven for demonstrating demyelination and remyelination [19]. Theiler’s virus is a natural pathogen of susceptible mice such as SJL mice that causes a persistent infection of the CNS and inflammation-mediated demyelination. Intracranial inoculation of the virus induces a biphasic disease consisting
Remyelination in Multiple Sclerosis
197
of early acute disease (encephalomyelitis) within 3–12 days, followed by late chronic demyelinating disease, which develops after 30–40 days in the spinal cord. Resistant mice, such as C57BL/6, develop only the early acute disease, clear the virus completely within 3 weeks, and do not develop the late chronic demyelinating disease. In SJL mice the late chronic demyelinating disease is associated with severe meningeal, perivascular, and parenchymal infiltration by T cells and monocytes/macrophages and leads to progressive spinal cord atrophy and axonal loss, with subsequent neurologic deficits. In demyelinated lesions in this model remyelination is present in variable degrees, allowing the investigation of remyelination-enhancing factors. The mouse hepatitis virus (MHV) is another virus used to induce experimental encephalomyelitis with subsequent CNS demyelination, when applied intracranially or intranasally [20]. However, it is still not known how MHV induces demyelination and to what extent the immune system plays a role in this model. It was suggested that some demyelination may be due to direct virus infection and damage of oligodendrocytes, but the majority is rather mediated through inflammatory responses [21]. The Semliki Forest virus (SFV)-induced CNS demyelination can be investigated following intraperitoneal infection of immunocompetent adult mice [21]. Twentyfour hours after infection the virus is detectable in the brain. In this model the effects of demyelination can be analyzed after a natural infection without a local neural lesion, allowing studies of the BBB. Demyelination in SFV-infected mice seems to be T-cell-mediated via damage of infected oligodendrocytes rather than through a direct viral effect. Interestingly, this model also presents changes in optic nerves.
Genetic Myelin Mutants In recent years, an increasing number of genetic animal models with a disturbance of CNS myelination have been characterized. The myelin-deficient (md) rat and mouse mutants jimpy have a mutation in the gene encoding for PLP that results in central myelination deficits. Both mutants serve as animal models for the human X-chromosome-linked Pelizaeus–Merzbacher disease, which is genetically related to a defect in the PLP gene [22]. The shiverer (shi) mouse is another myelin mutant model that has a defect in the MBP gene and causes abnormal myelination [23]. The advantage of myelin mutants is the consistency in myelination defects and known area of damage, allowing transplanted cells to be identified more clearly. Furthermore, genetic mutants serve as excellent models to study human dysmyelinating diseases. The disadvantage of genetic models is that they are poorly myelinating or nonmyelinating models rather than demyelinating lesion models. Furthermore, demyelinated areas in the CNS are noninflammatory. Thus, genetic models are less suitable for studies of remyelination in MS.
Growth Factors in CNS Remyelination Growth factors (GFs) are known to orchestrate migration, proliferation, differentiation, and survival of a variety of cell types, including neuronal and glial cells in the
198
Neuroinflammation
CNTF NRG 1 NT-3
CNTF NRG1 NT-3
CNTF NRG1/GGF2 PDGFA NT-3 FGF-2 BDNF PDGFA FGF-2
CNTF NRG1 NT-3
GDNF NGF
+
IGF-1 TGF1β BDNF CNTF IGF-1
CNTF LIF
Figure 9.2 Role of GF for oligodendrocyte lineage cells. Summarized scheme.
CNS. Together with chemokines and hormones, GFs not only regulate the development, specification, and maintenance of CNS structures, but also modulate its plasticity and repair, including generation of new glial and neuronal cells. This includes the maturation and myelination of newly arisen axons or remyelination of demyelinated axons in adult organisms. Remyelination is common in MS but is not always complete and abundant, despite OPCs being present in demyelinating lesions. It is thus thought that OPCs may not be capable of differentiating into myelinating oligodendrocytes and that GFs could be therapeutic agents to improve remyelination [6,24–29]. Different immune and glial cells infiltrate in the demyelinating lesions, producing a myriad of GFs and cytokines. There is strong evidence that inflammation and in particular mononuclear phagocytes are beneficial for remyelination [30–33]. Understanding and being able to control inflammatory events means being able to stop the loss of oligodendrocytes and/or to improve the remyelination capacity of the CNS. All glial cells and neurons are able to express various GFs and their receptors. Here we will concentrate on the role of GFs on oligodendrocytic cell lineage as a provider of myelin and a key factor in remyelination of axons. GFs influence all developmental stages (Figure 9.2) and support the survival of oligodendrocyte lineage. The largest body of evidence is provided by in vitro and in vivo research on rodent oligodendrocytes. Animal models and in vitro studies offer great insight into the development of pathologic conditions that affect oligodendrocyte function as well as the complex interactions between neuronal, immune, and glial cells. However, the findings in different species, different animal models, or in vitro studies are complex and cannot always be easily extrapolated to human
Remyelination in Multiple Sclerosis
199
oligodendrocyte lineage cells. Also, multiple factors can act in concert to initialize or regulate some events in oligodendrocyte life cycles.
Influence of GFs on the Fate of Progenitor Cells and Promotion of Generation of Oligodendrocytes In the mammalian CNS, oligodendrocytes arise from multipotent proliferating cells of the subventricular and ventricular zones [34]. Stem cells isolated from these areas can be maintained in vitro in the presence of epidermal growth factor (EGF) [35]. EGF has been shown to stimulate the proliferation and migration of precursor cells [36,37]. It has been reported that EGF-stimulated progenitors can migrate into demyelinating lesions and differentiate particularly into oligodendroglial cells [38]. Also, after EGF-stimulated progenitors are injected into a myelin-deficient environment, these cells differentiate into myelinating oligodendrocytes [39]. Neurotrophins are known to influence the final determination of multipotential precursor cells. Consequently, treatment of neurosphere cultures from embryonic striatum with nerve growth factor (NGF) and brain-derived neurotrophic factor (BDNF) led to the appearance of neuronal cells, whereas treatment with neurotrophin-3 (NT-3) resulted in bipolar neuronal cells and oligodendrocytes [40]. Neuregulin-1 (NRG1) and its signaling were also shown to play an important role in the generation of new oligodendrocytes. Murine embryonic striatal neuronal precursors express multiple NRG1 transcripts and proteins as well as their specific receptors, ErbB2 and ErbB4, but not ErbB3. Using soluble ErbB3 receptor to inhibit NRG1 function, it has been demonstrated that NRG1 controls the growth of precursors, increasing their proliferation and survival. In turn, soluble ErbB3 pretreatment of growing neurospheres specifically increased the number of oligodendrocytes differentiating from precursors migrating from the spheres [41] in vitro. In vivo, spinal cord explant cultures from NRG1 knockout mice fail to generate oligodendrocytes unless exogenous NRG1 is added, suggesting an important role for NRG1 in oligodendrocyte lineage specification [42].
GFs in Proliferation and Migration of OPCs The influence of basic fibroblast growth factor (FGF-2) and platelet-derived growth factor (PDGF) as potent mitogens for OPCs has been studied in vitro and in a number of animal models [43–49]. PDGFR-α is present on OPCs and disappears at the O4 stage of oligodendrocyte maturation [50,51]. FGF-2 can enhance expression of PDGFR-α on OPCs and block differentiation of OPCs [43]. In the cuprizone-induced toxic demyelination model the absence of FGF-2 promotes oligodendrocyte repopulation [52,53], whereas PDGF overexpression increases a number of OPCs following demyelination [54]. Also, PDGF is known to promote the migration of OPCs [55]. Hepatocyte growth factor (HGF) can also induce chemotaxis of OPCs and promote the proliferation of rodent OPCs in vitro and in vivo [56,57]. It has been reported that a functional HGF/c-Met system, which can influence the proliferation, development, and cytoskeletal organization, is present
200
Neuroinflammation
in oligodendrocytes [58]. Also, ciliary neurotrophic factor (CNTF) has been shown to enhance the proliferation of OPCs in vivo and in vitro [59]. NRG1/GGF2 can promote the proliferation and inhibit the differentiation of rodent OPCs [60] and can induce differentiated oligodendrocytes to undergo a phenotypic reversion characterized by loss of MBP expression, re-expression of the intermediate filament protein nestin, reorganization of the actin cytoskeleton, and a dramatic reduction in the number of processes per cell [61]. NT-3 has also mitogenic effects on rodent OPCs in vitro and in vivo. Enhanced proliferation of rat OPCs has been reported after treatment with NT-3 in vitro [62,63]. In vivo, NT-3 has been reported to promote proliferation after intracranial injection into the rat brain and after transplantation of genetically modified fibroblasts into spinal cord lesions [64,65]. BDNF also shows a beneficial effect on the proliferation of OPCs and subsequent myelination in the CNS [65]. Often the mitogenic effects of NT-3 are seen only when NT-3 has been administrated in combination with either another GF or insulin [66,67]. Analysis of mice lacking NT-3 and its receptor TrkC demonstrate a decline in PDGFαR-positive cells and also mature oligodendrocytes within the CNS [68].
Influence of GFs on Differentiation of OPC and Promotion of Myelination and Remyelination NT-3 also seems to accompany the further determination of oligodendrocytic lineage. OPCs require exogenous NT-3 or transfection with NT-3 gene for differentiation into oligodendrocytes [63,69]. NGF and NT-3 show beneficial effects on differentiation of cortical OPCs [70]. In chemical-induced demyelination, a direct application of NT-3 led to an increased number of mature oligodendrocytes and enhanced remyelination [71]. Also, BDNF shows a beneficial effect on differentiation of OPCs and subsequent myelination in the CNS [65,72]. In EAE, BDNF delivery reduces demyelination and increases remyelination [73]. It is also possible that BDNF controls myelination of the optic nerve through direct modulation of retinal ganglion cell (RGC) axon diameter [74]. Insulin-like growth factor 1 (IGF-1) was reported to play an important role in the differentiation of oligodendrocytes and to promote myelination [75–78]. IGF-1 overexpressing mice show a significant increase of the number of myelinated axons and of the myelin thickness [79]. IGF-1 knockout mice exhibit a decreased number of oligodendrocytes and myelinated axons in the corpus callosum and anterior commissure [80]. Beneficial effects of IGF-1 on remyelination have been studied in various experimental demyelination animal models. For instance, EAE treatment with IGF-1 has been associated with enhanced remyelination [81], although the positive effect has been observed only transiently in the acute phase and is not notable in the chronic phase [82]. In conditional mouse mutants, in which the expression of the Igf1r gene is ablated by Cre-mediated recombination, no accumulation of OPCs, a severe decrease of oligodendrocyte regeneration, and no remyelination after cuprizone-induced demyelination has been observed [83]. The upregulation of IGF-1 in cuprizone-induced
Remyelination in Multiple Sclerosis
201
demyelination has been previously described as well [84]. In lysolecithin-induced demyelination, IGF-1 and transforming growth factor-beta (TGF-β1) mRNAs were evident within the spinal cord by 5 days after lesion induction [48]. TGF-β1 inhibits the proliferation of OPCs, promotes oligodendrocyte development [85], and enhances myelination [86]. TGF-β1 can prevent EAE and suppress disease [87–89]. TGF-β2, another member of the TGF protein family, reduces demyelination in the viral model of MS via immunomodulatory mechanisms [90]. Despite the presence of IGF-1 and TGF-β1, which are considered to be the key regulators of oligodendrocyte differentiation, CNTF and leukemia inhibitory factor (LIF) also seem to be strongly involved in these processes. Both molecules act via gp130 receptors and could enhance the generation of oligodendrocytes in cultures of dividing O-2A progenitors and promote oligodendrocyte maturation, as determined by expression of myelin basic protein (MBP) [91]. CNTF seems to promote oligodendroglial differentiation/maturation but does not affect cell fate decision of adult hippocampus-derived neuronal precursor cells and also oligodendroglial progenitors derived from early postnatal cortex [92]. CNTF can prevent the death of oligodendrocytes under pro-inflammatory conditions in vitro [93]. It can also promote the survival and differentiation of adult spinal cord-derived OPCs in vitro but fails to promote remyelination in vivo [94]. However, in vitro CNTF has been shown to enhance myelin formation directly [95]. This pro-myelinating effect of CNTF is proposed to be mediated through the JAK/Stat pathway [95]. In EAE, CNTF–/– mice suffer from a significantly earlier onset and more severe progression of disease [96]. Poor recovery is accompanied by decreased proliferation and generation of oligodendrocytes and an increased apoptosis rate. LIF has been also suggested to act directly on oligodendrocytes. LIF receptor β (LIFRβ) is expressed on oligodendrocytes and is activated in affected tissue [97]. LIF supports the survival of mature oligodendrocyte and can prevent interferon-γ-induced apoptosis of oligodendrocytes [98]. There are also reports that LIF is involved in the differentiation of oligodendrocytes. Acting in one defined time window, LIF is, however, not an essential factor for this process. Only female LIF-deficient mice exhibit lower levels of MBP [99]. Developmental myelination of the optic nerve from LIFdeficient mice was delayed due to impaired maturation of OPCs [100]. In cuprizone-induced demyelination, LIF knockout mice display more severe demyelination and impaired remyelination, although oligodendrocyte replenishment is not significantly compromised [101]. Application of exogenous LIF upon demyelination limits myelin loss, eventually due to LIF-promoted survival of oligodendrocytes. However, treatment upon remyelination fails to reveal any significant effect [101]. In the EAE LIF receptor signaling limits the severity of inflammatory demyelination [97]. This study showed that LIF directly prevents oligodendrocyte death in EAE. Moreover, in another study anti-LIF neutralizing antibodies can potentiate demyelination and oligodendrocyte loss [102]. LIF has been also shown to play an important role in the modulation of immune cells during EAE [103]. Subsequent to oligodendrocyte generation, NRG1 may also play a role in promoting oligodendrocyte differentiation as well. Transgenic mice expressing a dominant-negative erbB2 receptor showed hypomyelination, a decrease in mature oligodendrocytes, and an
202
Neuroinflammation
increase in the number of progenitor cells [104]. The impact of NRG1 on remyelination has been studied in several animal models. Systemic delivery of NRG1 to mice exposed to EAE delayed signs of the disease, decreased the severity, and resulted in significant reductions in relapse rate [105,106]. Moreover, NRG1-treated groups exhibited more remyelination in CNS lesions than controls. In contrast to studies in the EAE model, application of NRG1 into demyelinated areas does not improve remyelination in toxic demyelination [107]. Further studies are required to determine the precise mechanism of NRG1 action on oligodendrocyte and on immunomodulation.
Effect of GFs on the Interactions Between Oligodendrocyte and Axon The key moment in successful remyelination is the interaction between the axon and the oligodendrocyte. NGF is involved in myelinating cell–axon interaction and promotes myelination of TrkA-expressing dorsal root ganglion (DRG) neurons by Schwann cells and inhibits oligodendrocytes in vitro [108]. In this context, in DRG neurons, NGF can induce via TrkA the axonal expression of LINGO-1, a known inhibitor of oligodendrocytes [109,110]. The myelination-promoting effects of glial cell-derived neurotrophic factor (GDNF) have been predominantly demonstrated in spinal cord injury animal models, in the peripheral nervous system, as well as in vitro by acting on Schwann cells and on neurons and modulating Schwann cell–axon interaction [111–113].
The Role of GFs in MS In MS lesions, BDNF is present on T cells, macrophages/microglia, and reactive astrocytes. TrkB, the full-length receptor for BDNF, has been found on neurons and reactive astrocytes [114]. Also, TGF-β1 has been found overexpressed by reactive astrocytes within MS lesions [115]. CNTF-receptor complex members, CNTFRα, LIFRβ, and GP130, were increased in MS cortical neurons. CNTF was increased and also expressed by neurons. Phosphorylated STAT3 and the anti-apoptotic molecule, Bcl2, known downstream products of CNTF signaling, were also increased in MS cortical neurons, suggesting a response to the chronic insult or stress in the pathogenesis of MS with upregulation of a CNTF-mediated neuroprotective signaling pathway [116]. PDGFR-α-expressing OPCs have been found within demyelinating lesions [27]. This suggests that PDGF is likely to play a role in the orchestration of remyelination.
Transcription Factors in Remyelination As mentioned, remyelination requires a series of highly orchestrated events that coordinate OPCs to proliferate, migrate toward the axons to be myelinated, and undergo terminal differentiation into myelinating oligodendrocytes [5,117]. Accordingly, adult OPCs stepped into the spotlight because of their potential for recruitment into demyelinated lesions [118–126]. They are distributed throughout the CNS and represent an
Remyelination in Multiple Sclerosis
203
endogenous source of progenitor cells, making up 2–9% of the CNS cell population [124]. In recent years, a great deal of research has been devoted to transcription factors that regulate the development and differentiation of these cells. Especially the identification of the Olig genes led to a valuable insight into myelinogenesis [127–130]. Olig1/2 are basic helix-loop-helix (bHLH) transcription factors that play multiple roles in determining the oligodendroglial lineage and are expressed in mature oligodendrocytes as well as in both developmental and adult OPCs [131,132]. During development of the CNS, Olig1/2 are localized in the nucleus of OPCs. In the adult CNS Olig2 remains in the nucleus of OPCs; however, Olig1 is found to be cytoplasmic [133]. Interestingly, in a murine demyelination model and within tissue from MS patients, Olig1 has been shown to be translocated into the nucleus of OPCs as in the embryonic development, suggesting that Olig1 initiates oligodendrocyte differentiation and, thus, remyelination [133,134]. The first Olig1 knockout mouse revealed a normal development of myelin but lack of remyelination after experimental demyelination [133]. In contrast, Xin et al. [135] reported a lethal development defect in differentiation of OPCs and myelination using a different Olig1 null mouse. An explanation for this discrepancy could be the fact that in the transgene construct used in the first model, Olig2 may have been enhanced. Olig2 is required for the development of oligodendrocytes at early stages as well as motor neurons, whereas Olig1 functions later in oligodendrocyte development [130,135,136]. The homeodomain transcription factors Nkx2.2, MASH1 (ASCL1), and Olig2 are elevated in OPCs prior to remyelination [137–139]. Their co-expression is already known to induce oligodendrocyte differentiation in embryonic development [140– 142]. MASH1 is another bHLH transcription factor required for oligodendrocyte development. In MASH1 null mutants fewer OPCs are generated and expression of myelin genes is distinctly diminished [143,144]. Nkx2.2 is required for the normal differentiation of oligodendrocytes, especially for the generation of MBP- and PLPpositive ones [145]. Moreover, Olig1/2 can form heterodimers with the inhibitor of differentiation (ID) gene products, especially ID2 and ID4, which may cause a downstream of bone morphogenetic protein (BMP) signaling. BMPs are a family of secreted transforming growth factor-A signaling factors acting to suppress OPC differentiation. In several demyelination models, including chronic EAE, upregulation of BMPs was observed [146–148]. BMPs are thought to promote gliosis and inhibit remyelination [148]. ID2 and ID4 mimic the effects of BMPs as their overexpression in cultured OPCs prevents differentiation and induces an astrotype phenotype [149–151]. Transcription factors using the Wnt pathway have recently been shown to be specific to remyelinating white matter, and this pathway including β-catenin has been shown to be activated in a pathologic context [152]. The transcription factor Tcf7l2 inhibits the Wnt signaling pathway through its ability to bind to β-catenin [153]. It promotes oligodendrocyte differentiation and, probably, remyelination [152]. Myelin transcription factor 1 (MYT1) is a zinc-finger protein that can bind to the promoter region of the PLP gene. In MS lesions increased Myt1 expression was reported [154]. Overexpression of Myt1 leads to inhibition of oligodendrocyte differentiation [155].
204
Neuroinflammation
The Notch1/Jagged1 signaling is a further pathway involved in remyelination. Notch receptors are transmembrane proteins expressed on developmental and adult OPCs [156]. Following ligand binding, they are cleaved by a metalloproteinase and a γ-secretase, generating Notch intracellular domain (NICD), which then translocates to the nucleus [156]. Notch1 is thought to act through Hes5, a bHLH transcription factor, which suppresses transcription of myelin genes [157]. In chronic active MS lesions an increased expression of Jagged1 by reactive astrocytes, as well as Notch1 and HES5 in OPCs, has been reported [158]. In conclusion, transcription factors in remyelination constitute a complex network with either suppressive or promoting functions on oligodendrocyte development. Recent work shows their involvement in remyelination and uncovers a diversity of involved signaling pathways. Yet it remains uncertain which of these factors and pathways are the most important for remyelination and which mechanisms sustain suppressive signaling in remyelination failure.
Epigenetic Control of Oligodendrocytes Ineffective remyelination has been associated with aging [159]. This age-related effect is probably due to an impairment of OPC differentiation and recruitment [160]. Differentiation of OPCs seems to be a more important process than their recruitment because increasing the availability of OPCs did not enhance remyelination [54]. As described earlier, OPC differentiation is controlled by a complex network of transcription factors. The selective expression or silencing of genes during this differentiation process is also controlled by epigenetic regulatory mechanisms. This crosstalk between transcription factors and modulators of gene expression, including posttranslational modifications of nucleosomal histones, changes in histone variants, chromatin remodeling enzymes, DNA methylation, and microRNAs (miRNAs), provides a dynamic interaction between genetic and epigenetic programs. Epigenetic modulators control gene expression by regulating transcript levels independently of changes in DNA sequence [161,162]. Histone deacetylases (HDACs) remove the acetyl groups from histone lysine residues and render chromatin less accessible to transcription factors [163]. HDACs seem to be required for the morphologic and functional differentiation of oligodendrocytes from progenitor cells [164,165]. The reconversion to a progenitor cell is prevented by blocking transcription factors, for example Sox2 [166], while HDAC inhibitors reduce the number of oligodendrocytes due to a larger population of astrocytes and neurons [167–169]. Recently, Yin Yang 1, a transcription factor, has been shown to facilitate the recruitment of an HDAC to the promoters of some transcriptional inhibitors, allowing expression of myelin-specific genes [167]. Closely associated with the state of histone acetylation is histone methylation of lysine residues, which plays a role in the selection of the oligodendrocyte lineage by preventing a neuronal or astrocytic cell fate choice [170]. The most prominent histone methyltransferase is Ezh2, which methylates lysine 27 on histone H3 [170].
Remyelination in Multiple Sclerosis
205
Modification of histone arginine residues by citrullination is catalyzed by peptidylarginine deiminases (PADs), generating irreversible protein structural modifications. High nuclear levels of these enzymes have been observed in experimental models of demyelination [171,172] and in normal-appearing white matter isolated from patients with MS, suggesting a contribution to the pathogenic process [173]. Another important epigenetic mechanism is DNA methylation at the CPG-rich 5' promotor region of genes, which decreases gene expression. In brain tissue of MS patients, higher DNA demethylase activity has been reported [174]. This increased activity is assumed to be associated with a higher rate of citrullination as the promoter regions for PADs contain CPG motifs. Demethylation of these regions leads to a reactivation of PADs [172]. Apart from these mechanisms operating at the transcriptional level, microRNAs (miRNA), which are small noncoding RNAs, modulate mRNA translation. Bound to argonaute proteins, they mediate suppression of specific target mRNAs by imperfect base pairing at the 3' untranslated region. This may result either in translational repression or in destabilizing and degradation of the target mRNA. miRNAs are present at very high copy numbers per cell and are thought to have a profound impact on gene expression regulation [175]. They are involved in various cancer types [176], differentiation or maintenance of cell lineages [177], and synaptic [178] and cardiovascular development [179]. In oligodendrocytes the expression of miRNA has just recently been reported [180–182]. During the transition from progenitor to premyelinating cell, changes in the expression levels of miRNA have been shown, suggesting that miRNAs are regulators of oligodendrocyte differentiation and, probably, myelination [181]. Several miRNAs (i.e., miR-219, miR-138, and miR-338) have been proposed to be involved in this process [183]. miR-219 seems to play a more important role as it represses the expression of PDGFRα, Sox6, FoxJ3, and ZFP238 proteins, all of which normally help to promote OPC proliferation. In another study miR-206 has been shown to downregulate the tubulin polymerization-promoting protein (TPPP), resulting in inhibition of oligodendrocyte differentiation [182]. TPPP is expressed mainly in myelinating oligodendrocytes of the CNS [184]. Laminin B1 is considered an important protein for myelin maintenance, but its excessive expression results may lead to premature arrest of oligodendrocyte differentiation. Lin et al. showed that miR-23 partially downregulates the gene expression of this protein, suggesting a beneficial role in CNS myelination. Moreover, deletion of Dicer1 disrupts miRNA processing and results in failure of OPC differentiation and CNS myelination [183]. Dicer1 is a cytoplasmic RNA polymerase that detruncates primary miRNA to its short mature form [175]. In conclusion, alterations to amino acid residues of nucleosomal histones modulating gene expression in oligodendrocytes include deacetylation, methylation, and citrullination, which in turn establish a cell-type-specific histone code. Histone changes determine the structure of chromatin and thus enable or disable transcription of genes. miRNAs in turn modulate at the posttranslational level by suppression of mRNA. Their involvement and biology in oligodendrocyte differentiation is unclear, but recent work points to critical regulation mechanisms.
206
Neuroinflammation
Clinical Trials for Remyelination in MS The findings that remyelination is a regular process after experimentally induced demyelination have demonstrated that repair is possible. Despite very limited knowledge why remyelination fails in MS [7], the search for a remyelination-supporting treatment has been one of the major tasks in research during the past two decades. In general, two strategies could be followed: (1) promotion of endogenous repair mechanisms and (2) exogenous support by the transplantation of myelin-forming cells. The endogenous promotion of remyelination could again be achieved by several mechanisms: (1) application of substances (e.g., GFs, antibodies) that directly influence OPC proliferation, migration, or differentiation; (2) indirect creation of a repair-promoting microenvironment in the CNS (e.g., via immune cells [protective autoimmunity [185]]); (3) removal of myelin formation inhibitory factors [186]; or (4) protection of myelin-forming cells. Most approaches have been successfully tested in animal experiments, but there are only few trials in patients with MS.
Enhancement of Endogenous Repair Mechanisms The important role of GFs for remyelination has been described earlier. Despite this presumed importance there has been only one small, not controlled trial with IFG-1 in patients with MS [187]. In this open, crossover study 50 μg IGF-1 was administered twice daily for 6 months after a baseline period of 6 months. The primary outcome was the number of gadolinium-enhancing lesions on monthly magnetic resonance imaging (MRI). There were no differences between the baseline and the treatment period, including secondary outcome parameters with clinical endpoints. Given the small sample size, the uncontrolled nature of the study, and the short study duration, it is not surprising that this trial failed. Furthermore, IGF-1, like other GFs, may influence OPCs and thus myelination differentially at different stages of OPC and oligodendrocyte development. Considering the complex orchestration of remyelination by a huge number of signals, it seems unlikely that administration of a single GF given over several weeks or months will lead to sustained remyelination. The timing of such a treatment may be essential, and a sequence of various GFs may be required. Creation of a remyelination-supportive environment in the lesion is another approach. It is well known that, for example, suppression of microglial phagocytosing activity impairs remyelination [33,188]. Minocycline, a substance that has been proposed to have neuroprotective properties and that may modulate microglia, was shown in animal models to be beneficial on demyelination and inflammation in the CNS [189,190]. In a small open clinical trial CNS inflammation was suppressed in five MS patients as measured by gadolinium-enhancing lesions on MRI [191]. In a follow-up of these patients and five additional patients who were treated with 100 mg minocycline twice daily, a reduction in relapse rate was observed and it was attributed to changes in metalloproteinase and cytokines [192]. Although these results are promising, controlled trials are necessary to prove the efficacy of minocycline in MS. A series of experiments mainly in the TMEV model have demonstrated that natural antibodies directed against oligodendrocytes are capable of inducing remyelination
Remyelination in Multiple Sclerosis
207
[193–195]. Although not as effective as some monoclonal antibodies, there was also the promotion of remyelination by human polyclonal intravenous immunoglobulins (IVIGs) in TMEV [194]. This has led to the design of clinical trials aimed at investigating the remyelination capacity of IVIGs, which are used successfully in inflammatory demyelinating diseases of the peripheral nervous system [196]. Unfortunately, none of the three trials in MS patients could demonstrate remyelination on clinical or electrophysiologic grounds [197–199]. Several reasons for this failure have been speculated, like the wrong timing (IVIGs were administered in all trials months after the last relapse, which may be too late to induce remyelination) or the wrong antibodies (all trials used IgG preparations, while the most potent monoclonal antibodies are IgM) [200]. Although human monoclonal IgM antibodies with remyelinating properties in the animal model have been described [201], there are no published clinical trials in MS patients. An antibody against LINGO-1, a component of the Nogo receptor complex exclusively expressed on oligodendrocytes in the CNS [109], has recently been identified as a new candidate to promote remyelination. The antibody has been tested successfully in several animal models [202] and a clinical phase I study is ongoing. The results of clinical trials are needed before the potential for MS patients can be evaluated.
Transplantation of Myelin-Forming Cells In many experimental approaches and different animal models, the transplantation of different myelin-forming cells has been proven to restore function [203–205]. In general, different sources of myelin-forming cells can be used, namely OPCs, Schwann cells, olfactory ensheathing cells (OECs), stem cells (embryonic, adult neuronal, and bone marrow derived), and theoretically also xenotransplants [28,205]. Besides the ethical problems in particular with the generation of embryonic stem cells, there are several other complicating issues associated with cell transplantation in MS patients. First, MS is a multilocular disease with lesions disseminated all over the CNS, and it is not possible to transplant all these lesions. Transplantation of potentially strategic lesions (that are difficult to define) may also bear the risk of transplantation-associated complications in these strategic brain regions. Second, it is not clear what happens to the transplanted cells. Can they reactivate the autoimmune process, and will they be destroyed by the ongoing inflammatory disease? Third, in case of axonal damage these axons may not be receptive for remyelination, or even in the case of successful remyelination there may be no functional gain. Fourth, what is the best time to transplant cells? It is probably shortly after the demyelinating attack; however, often clinicians wait if there is clinical improvement after application of corticosteroid or plasma exchange. Fifth, which is the best cell type to transplant? In view of these questions, one small trial to transplant autologous Schwann cells into MS lesions has been performed. Unfortunately this trial has never been published in a peer-reviewed journal, and the results have been only temporarily available at www.myelin.org. The advantage of Schwann cells is that an autologous transplantation is possible, the cells can be expanded in vitro and
208
Neuroinflammation
cryopreserved [206], and they may escape the autoimmune reaction. The trial was designed to investigate safety aspects of Schwann cell transplantation in MS with increasing cell numbers to be transplanted into a right frontal MS lesion. The trial was terminated after three patients. Although there seemed to be no safety problems, a planned biopsy after 6 months of the transplantation did not show any transplanted Schwann cells in the lesion. In view of these results, the concept of transplantation as a regenerative treatment for MS patients needs to be reconsidered. Experimental results from systemic transplantation of neuronal stem cells (including human cells in a nonhuman primate model) suggest that these effects may not be mediated by direct remyelination but rather by creation of a repair-supporting microenvironment [207,208].
Neuroprotective Treatment Approaches Although the term “neuroprotection” is usually applied to axons and neurons, the protection of oligodendrocytes or their precursors from damage may also contribute to remyelination. However, trials investigating this specific aspect are not available (although the currently available immunomodulatory treatments for MS indirectly protect myelin sheaths from being attacked by the autoimmune reaction). There are a few small clinical trials investigating neuroprotective effects in MS patients for drugs that are being used for other indications. Riluzole, an established treatment for amyotrophic lateral sclerosis (ALS), has been investigated in an open trial in 16 patients with primary progressive MS [209]. The primary endpoint was spinal cord atrophy as measured by MRI. Compared to the pretreatment period of 1 year with progressive spinal cord atrophy, there was a stabilization during the treatment period of 1 year. However, this result has never been reproduced or confirmed in a randomized, placebo-controlled trial. Erythropoietin (EPO) has been found to be part of a neuroprotective pathway [210] in the CNS, and thus a small study with EPO was carried out in eight patients with chronic progressive MS [211]. Five patients were treated with 48,000 IU weekly for 12 weeks, followed by biweekly administration for another 12 weeks, and a followup observational period for 24 weeks. There was an improvement in motor function and cognitive performance in the high-dose group, while there was no improvement in the low-dose group and in two patients with Parkinson’s disease as controls. These preliminary data may support the design of a randomized, placebo-controlled trial but cannot prove a neuroprotective or regenerative effect of EPO in MS. Since axonal injury (e.g., by nitric oxide) leads to a high intracellular sodium concentration via persistent activation of sodium channels and inhibition of mitochondrial Na-K ATPase, there is an exchange of intra-axonal sodium ions for extracellular calcium that in turn injures axons. Therefore, sodium channel blockers, well-established drugs in the treatment of epilepsy, were investigated for a neuroprotective effect [212]. Lamotrigine was used in a phase II placebo-controlled clinical trial involving 120 patients with secondary progressive MS [213]. Preliminary results could not demonstrate a positive effect in central cerebral volume as measured by MRI, the primary outcome parameter for cerebral atrophy. Deterioration in
Remyelination in Multiple Sclerosis
209
the 25-foot walk was slower in the lamotrigine group; however, this needs confirmation in a larger trial. Overall, this randomized controlled trial could unfortunately not demonstrate a neuroprotective effect.
Imaging of Remyelination in Clinical Trials In most clinical MS trials, disease course and treatment response are monitored by progression of clinical symptoms with the Expanded Disability Status Scale (EDSS) and by disease activity on MRI. For treatment outcome measures in clinical trials as well as for the diagnosis of MS, standard MRI protocols have been established that include conventional T2-weighted images, T1-weighted images with and without gadolinium (Gd), and fluid-attenuated inversion recovery (FLAIR) sequences. However, the correlation of these standard measures with the clinical disease manifestations and course is limited because the conventional MRI sequences represent the pathophysiologic processes incompletely and they fail to differentiate between demyelinated and remyelinated lesions [214]. Demyelinated as well as partially remyelinated lesions appear hyperintense on T2-weighted images and hypointense on T1-weighted images, whereas fully remyelinated lesions may appear less T1-hypointense as shadow plaques. Histologically the T2-hyperintense lesions represent a heterogeneous spectrum of myelination ranging from extensive demyelination to full remyelination [215]. Advanced nonconventional MRI imaging techniques like magnetization transfer imaging (MTI) and diffusion tensor imaging (DTI), high-field MRI, and positron emission tomography (PET) are promising techniques to visualize neuronal injury and repair [216]. The principle of MTI is based on the interaction and exchange of unbound protons in free water with those bound to macromolecules like protons present in myelin. Damage to myelin during demyelination results in a reduced exchange of protons or magnetization transfer ratio (MTR), whereas increased proton exchange or MTR reveals remyelination [217,218]. The MTR of remyelinated lesions differs from that of normal-appearing white matter and demyelinated lesions. In brain autopsy material a correlation of myelin content and MTR in lesions and normal tissue was observed [219]. There is also evidence that MTR changes are associated with clinical disability and recovery [220,221]. DTI measures the motion of water molecules in tissue and provides information about tissue microstructure and architecture [222]. Furthermore, it serves as a basis for fiber tractography [223]. Alterations in the tissue morphology during demyelination and remyelination may change the diffusivity values. In the cuprizone model decreased axial diffusivity was associated with axonal degeneration, while increased radial diffusivity reflects demyelination in the corpus callosum [224]. Further studies are ongoing to verify whether the DTI technique is capable of differentiating between degenerating and regenerating fibers in MS. With increasing field strength of MRI from 1.5 to 3 T, the sensitivity for the detection of T1-weighted Gd-enhancing lesions and T2-weighted lesions is significantly increased [225]. But to improve the detection of structural and myelin changes,
210
Neuroinflammation
ultrahigh-field MRI studies are required. Recently Schmierer et al. [226] demonstrated, in a postmortem study of MS brains with a 9.4 T MRI, distinct changes of T2-weighted images in demyelinated and remyelinated lesions. On the other hand, these ultrahigh-field MRIs need long scanning times and are so far restricted to specialized imaging centers. Besides the advanced MRI techniques, promising developments to detect myelin with molecular imaging techniques like PET have been made. The Congo red derivate 1,4-bis-(4-aminostyryl)-2-methoxy benzene (BMB) selectively binds to myelin and has been proven to distinguish dysmyelination in myelin mutants and demyelinated lesions in EAE. Staining of MS brain tissue with BMB can discriminate between demyelinated and remyelinated lesions or normal-appearing white matter [227]. However, it is unclear when this new PET technique will be available for clinical routine use. During the past decade several modern imaging techniques have been discovered to improve the visualization of the pathophysiologic process of demyelination and remyelination during MS. It is likely that in the next years more potential neuroprotective strategies will go into clinical development, but as of now no established imaging protocols to monitor neuroprotection or remyelination are available. Combining conventional with nonconventional MRI techniques seems to be a promising way for clinical trials to improve the monitoring of regeneration. Nonetheless, this requires the development of new standardized acquisition schemes and analysis procedures.
Obstacles for Regenerative Treatments in MS Although our knowledge of myelin and oligodendrocyte biology has vastly increased in the past decades, the exact molecular mechanisms that drive remyelination are still not fully understood. Due to the extremely complicated control of OPCs by hundreds of factors that differ in each developmental stage from stem cell to mature oligodendrocytes maintaining myelin sheaths, it seems unlikely that a single factor is responsible for remyelination failure. This in turn also implies that there is not a single therapeutic agent that will drive all the processes from OPC proliferation to migration, differentiation, and maintenance of myelin. The picture is even more complicated by the pathophysiologic heterogeneity of MS [228]. This would possibly mean that the molecular requirements for successful remyelination may differ according to each MS subtype. Although many treatment strategies have been successfully employed in animal models, one of the main obstacles for the design of therapeutic strategies in human MS is our lack of knowledge of why remyelination fails. Although there have been several suggestions for molecular targets [158,229], none of these have been proven. Another difficulty for the design of clinical trial protocols to investigate remyelination is the lack of an accepted clinical or paraclinical marker. None of the neurophysiologic, MRI, or other imaging methods like PET can unambiguously demonstrate remyelination. For the patients’ benefit, clinical improvement should be the aim, no matter if this is achieved by remyelination or another mechanism.
Remyelination in Multiple Sclerosis
211
Although a regenerative and/or neuroprotective treatment for MS is urgently warranted, the results from the clinical trials conducted so far have all been very disappointing. Enhancement of the endogenous remyelination potential seems currently more promising compared to the many open questions associated with cell transplantation.
References [1] McDonald WI. Relapse, remission, and progression in multiple sclerosis. N Engl J Med 2000;343:1486–7. [2] Hickey WF. The pathology of multiple sclerosis: a historical perspective. J Neuroimmunol 1999;98:37–44. [3] Kornek B, Storch MK, Weissert R, Wallstroem E, Stefferl A, Olsson T, et al. Multiple sclerosis and chronic autoimmune encephalomyelitis: a comparative quantitative study of axonal injury in active, inactive, and remyelinated lesions. Am J Pathol 2000;157:267–76. [4] Matsushima GK, Morell P. The neurotoxicant cuprizone as a model to study demyelination and remyelination in the central nervous system. Brain Pathol 2001;11:107–16. [5] Stangel M, Hartung H-P. Remyelinating strategies for the treatment of multiple sclerosis. Prog Neurobiol 2002;68:361–76. [6] Franklin RJ, ffrench-Constant C. Remyelination in the CNS: from biology to therapy. Nat Rev Neurosci 2008;9:839–55. [7] Franklin RJM. Why does remyelination fail in multiple sclerosis? Nat Rev Neurosci 2002;3:705–14. [8] Patrikios P, Stadelmann C, Kutzelnigg A, Rauschka H, Schmidbauer M, Laursen H, et al. Remyelination is extensive in a subset of multiple sclerosis patients. Brain 2006;129:3165–72. [9] Goldschmidt T, Antel J, Konig FB, Bruck W, Kuhlmann T. Remyelination capacity of the MS brain decreases with disease chronicity. Neurology 2009;72:1914–21. [10] Patani R, Balaratnam M, Vora A, Reynolds R. Remyelination can be extensive in multiple sclerosis despite a long disease course. Neuropathol Appl Neurobiol 2007;33:277–87. [11] Albert M, Antel J, Bruck W, Stadelmann C. Extensive cortical remyelination in patients with chronic multiple sclerosis. Brain Pathol 2007;17:129–38. [12] Rodriguez M. Effectors of demyelination and remyelination in the CNS: implications for multiple sclerosis. Brain Pathol 2007;17:219–29. [13] Skripuletz T, Lindner M, Kotsiari A, Garde N, Fokuhl J, Linsmeier F, et al. Cortical demyelination is prominent in the murine cuprizone model and is strain-dependent. Am J Pathol 2008;172:1053–61. [14] Skripuletz T, Bussmann JH, Gudi V, Koutsoudaki PN, Pul R, Moharregh-Khiabani D, et al. Cerebellar cortical demyelination in the murine cuprizone model. Brain Pathol 2010;20:301–12. [15] Koutsoudaki PN, Skripuletz T, Gudi V, Moharregh-Khiabani D, Hildebrandt H, Trebst C, et al. Demyelination of the hippocampus is prominent in the cuprizone model. Neurosci Lett 2009;451:83–8. [16] Krishnamoorthy G, Wekerle H. EAE: an immunologist’s magic eye. Eur J Immunol 2009;39:2031–5. [17] Gold R, Linington C, Lassmann H. Understanding pathogenesis and therapy of multiple sclerosis via animal models: 70 years of merits and culprits in experimental autoimmune encephalomyelitis research. Brain 2006;129:1953–71.
212
Neuroinflammation
[18] Linington C, Bradl M, Lassmann H, Brunner C, Vass K. Augmentation of demyelination in rat acute allergic encephalomyelitis by circulating mouse monoclonal antibodies directed against a myelin/oligodendrocyte glycoprotein. Am J Pathol 1988; 130:443–54. [19] Oleszak EL, Chang JR, Friedman H, Katsetos CD, Platsoucas CD. Theiler’s virus infection: a model for multiple sclerosis. Clin Microbiol Rev 2004;17:174–207. [20] Matthews AE, Weiss SR, Paterson Y. Murine hepatitis virus—a model for virus-induced CNS demyelination. J Neurovirol 2002;8:76–85. [21] Fazakerley JK, Walker R. Virus demyelination. J Neurovirol 2003;9:148–64. [22] Hudson LD, Puckett C, Berndt J, Chan J, Gencic S. Mutation of the proteolipid protein gene PLP in a human X chromosome-linked myelin disorder. Proc Natl Acad Sci USA 1989;86:8128–31. [23] Roach A, Takahashi N, Pravtcheva D, Ruddle F, Hood L. Chromosomal mapping of mouse myelin basic protein gene and structure and transcription of the partially deleted gene in shiverer mutant mice. Cell 1985;42:149–55. [24] Lassmann H. Comparative neuropathology of chronic experimental allergic encephalomyelitis and multiple sclerosis. Schriftenr Neurol 1983;25:1–135. [25] Lucchinetti C, Brück W, Parisi J, Scheithauer B, Rodriguez M, Lassmann H. A quantitative analysis of oligodendrocytes in multiple sclerosis. A study of 113 cases. Brain 1999;122:2279–95. [26] Raine CS, Wu E. Multiple sclerosis: remyelination in acute lesions. J Neuropathol Exp Neurol 1993;52:199–204. [27] Maeda Y, Solanky M, Menonna J, Chapin J, Li W, Dowling P. Platelet-derived growth factor-α receptor-positive oligodendroglia are frequent in multiple sclerosis lesions. Ann Neurol 2001;49:776–85. [28] Stangel M. Remyelinating and neuroprotective treatments in multiple sclerosis. Expert Opin Invest Drugs 2004;13:331–47. [29] Franklin RJ, Kotter MR. The biology of CNS remyelination: the key to therapeutic advances. J Neurol 2008;255(Suppl. 1):19–25. [30] Arnett HA, Mason J, Marino M, Suzuki K, Matsushima GK, Ting JP. TNF alpha promotes proliferation of oligodendrocyte progenitors and remyelination. Nat Neurosci 2001;4:1116–22. [31] Mason JL, Langaman C, Morell P, Suzuki K, Matsushima GK. Episodic demyelination and subsequent remyelination within the murine central nervous system: changes in axonal calibre. Neuropathol Appl Neurobiol 2001;27:50–8. [32] Foote AK, Blakemore WF. Inflammation stimulates remyelination in areas of chronic demyelination. Brain 2005;128:528–39. [33] Kotter MR, Setzu A, Sim FJ, van Rooijen N, Franklin RJM. Macrophage depletion impairs oligodendrocyte remyelination following lysolecithin-induced demyelination. Glia 2001;35:204–12. [34] Miller RH. Oligodendrocyte origins. Trends Neurosci 1996;19:92–6. [35] Reynolds BA, Weiss S. Generation of neurons and astrocytes from isolated cells of the adult mammalian central nervous system. Science 1992;255:1707–10. [36] Craig CG, Tropepe V, Morshead CM, Reynolds BA, Weiss S, van der Kooy D. In vivo growth factor expansion of endogenous subependymal neural precursor cell populations in the adult mouse brain. J Neurosci 1996;16:2649–58. [37] Fricker-Gates RA, Winkler C, Kirik D, Rosenblad C, Carpenter MK, Bjorklund A. EGF infusion stimulates the proliferation and migration of embryonic progenitor cells transplanted in the adult rat striatum. Exp Neurol 2000;165:237–47.
Remyelination in Multiple Sclerosis
213
[38] Gonzalez-Perez O, Romero-Rodriguez R, Soriano-Navarro M, Garcia-Verdugo JM, Alvarez-Buylla A. Epidermal growth factor induces the progeny of subventricular zone type B cells to migrate and differentiate into oligodendrocytes. Stem Cells 2009;27:2032–43. [39] Hammang JP, Archer DR, Duncan ID. Myelination following transplantation of EGFresponsive neural stem cells into a myelin-deficient environment. Exp Neurol 1997; 147:84–95. [40] Lachyankar MB, Condon PJ, Quesenberry PJ, Litofsky NS, Recht LD, Ross AH. Embryonic precursor cells that express Trk receptors: induction of different cell fates by NGF, BDNF, NT-3, and CNTF. Exp Neurol 1997;144:350–60. [41] Calaora V, Rogister B, Bismuth K, Murray K, Brandt H, Leprince P, et al. Neuregulin signaling regulates neural precursor growth and the generation of oligodendrocytes in vitro. J Neurosci 2001;21:4740–51. [42] Vartanian T, Fischbach G, Miller R. Failure of spinal cord oligodendrocyte development in mice lacking neuregulin. Proc Natl Acad Sci USA 1999;96:731–5. [43] McKinnon RD, Matsui T, Dubois-Dalcq M, Aaronson SA. FGF modulates the PDGFdriven pathway of oligodendrocyte development. Neuron 1990;5:603–14. [44] Jiang F, Frederick TJ, Wood TL. IGF-I synergizes with FGF-2 to stimulate oligodendrocyte progenitor entry into the cell cycle. Dev Biol 2001;232:414–23. [45] McMorris FA, McKinnon RD. Regulation of oligodendrocyte development and CNS myelination by growth factors: prospects for therapy of demyelinating disease. Brain Pathol 1996;6:313–29. [46] Wolswijk G, Noble M. Cooperation between PDGF and FGF converts slowly dividing O-2A(adult) progenitor cells to rapidly dividing cells with characteristics of O-2A(perinatal) progenitor cells. J Cell Biol 1992;118:889–900. [47] Liu X, Mashour GA, Webster HF, Kurtz A. Basic FGF and FGF receptor 1 are expressed in microglia during experimental autoimmune encephalomyelitis: temporally distinct expression of midkine and pleiotrophin. Glia 1998;24:390–7. [48] Hinks GL, Franklin RJ. Distinctive patterns of PDGF-A, FGF-2, IGF-I, and TGF-beta1 gene expression during remyelination of experimentally-induced spinal cord demyelination. Mol Cell Neurosci 1999;14:153–68. [49] Messersmith DJ, Murtie JC, Le TQ, Frost EE, Armstrong RC. Fibroblast growth factor 2 (FGF2) and FGF receptor expression in an experimental demyelinating disease with extensive remyelination. J Neurosci Res 2000;62:241–56. [50] Nishiyama A, Lin XH, Giese N, Heldin CH, Stallcup WB. Interaction between NG2 proteoglycan and PDGF alpha-receptor on O2A progenitor cells is required for optimal response to PDGF. J Neurosci Res 1996;43:315–30. [51] Ellison JA, de Vellis J. Platelet-derived growth factor receptor is expressed by cells in the early oligodendrocyte lineage. J Neurosci Res 1994;37:116–28. [52] Armstrong RC, Le TQ, Frost EE, Borke RC, Vana AC. Absence of fibroblast growth factor 2 promotes oligodendroglial repopulation of demyelinated white matter. J Neurosci 2002;22:8574–85. [53] Armstrong RC, Le TQ, Flint NC, Vana AC, Zhou YX. Endogenous cell repair of chronic demyelination. J Neuropathol Exp Neurol 2006;65:245–56. [54] Woodruff RH, Fruttiger M, Richardson WD, Franklin RJ. Platelet-derived growth factor regulates oligodendrocyte progenitor numbers in adult CNS and their response following CNS demyelination. Mol Cell Neurosci 2004;25:252–62. [55] Noble M, Murray K, Stroobant P, Waterfield MD, Riddle P. Platelet-derived growth factor promotes division and motility and inhibits premature differentiation of the oligodendrocyte/type-2 astrocyte progenitor cell. Nature 1988;333:560–2.
214
Neuroinflammation
[56] Lalive PH, Paglinawan R, Biollaz G, Kappos EA, Leone DP, Malipiero U, et al. TGFbeta-treated microglia induce oligodendrocyte precursor cell chemotaxis through the HGF-c-Met pathway. Eur J Immunol 2005;35:727–37. [57] Ohya W, Funakoshi H, Nakamura T. [Hepatocyte growth factor (HGF)]. Nippon Rinsho 2005;63(Suppl. 8):116–22. [58] Yan H, Rivkees SA. Hepatocyte growth factor stimulates the proliferation and migration of oligodendrocyte precursor cells. J Neurosci Res 2002;69:597–606. [59] Barres BA, Burne JF, Holtmann B, Thoenen H, Sendtner M, Raff MC. Ciliary neurotrophic factor enhances the rate of oligodendrocyte generation. Mol Cell Neurosci 1996;8:146–56. [60] Canoll PD, Musacchio JM, Hardy R, Reynolds R, Marchionni MA, Salzer JL. GGF/ neuregulin is a neuronal signal that promotes the proliferation and survival and inhibits the differentiation of oligodendrocyte progenitors. Neuron 1996;17:229–43. [61] Canoll PD, Kraemer R, Teng KK, Marchionni MA, Salzer JL. GGF/neuregulin induces a phenotypic reversion of oligodendrocytes. Mol Cell Neurosci 1999;13:79–94. [62] Cohen RI, Marmur R, Norton WT, Mehler MF, Kessler JA. Nerve growth factor and neurotrophin-3 differentially regulate the proliferation and survival of developing rat brain oligodendrocytes. J Neurosci 1996;16:6433–42. [63] Heinrich M, Gorath M, Richter-Landsberg C. Neurotrophin-3 (NT-3) modulates early differentiation of oligodendrocytes in rat brain cortical cultures. Glia 1999;28:244–55. [64] Kumar S, Kahn MA, Dinh L, de VJ. NT-3-mediated TrkC receptor activation promotes proliferation and cell survival of rodent progenitor oligodendrocyte cells in vitro and in vivo. J Neurosci Res 1998;54:754–65. [65] McTigue DM, Horner PJ, Stokes BT, Gage FH. Neurotrophin-3 and brain-derived neurotrophic factor induce oligodendrocyte proliferation and myelination of regenerating axons in the contused adult rat spinal cord. J Neurosci 1998;18:5354–65. [66] Barres BA, Raff MC, Gaese F, Bartke I, Dechant G, Barde YA. A crucial role for neurotrophin-3 in oligodendrocyte development. Nature 1994;367:371–5. [67] Barres BA, Raff MC. Control of oligodendrocyte number in the developing rat optic nerve. Neuron 1994;12:935–42. [68] Kahn MA, Kumar S, Liebl D, Chang R, Parada LF, de Vellis J. Mice lacking NT-3, and its receptor TrkC, exhibit profound deficiencies in CNS glial cells. Glia 1999;26:153–65. [69] Rubio N, Rodriguez R, Arevalo MA. In vitro myelination by oligodendrocyte precursor cells transfected with the neurotrophin-3 gene. Glia 2004;47:78–87. [70] Du Y, Fischer TZ, Lee LN, Lercher LD, Dreyfus CF. Regionally specific effects of BDNF on oligodendrocytes. Dev Neurosci 2003;25:116–26. [71] Jean I, Lavialle C, Barthelaix-Pouplard A, Fressinaud C. Neurotrophin-3 specifically increases mature oligodendrocyte population and enhances remyelination after chemical demyelination of adult rat CNS. Brain Res 2003;972:110–18. [72] Tolwani RJ, Cosgaya JM, Varma S, Jacob R, Kuo LE, Shooter EM. BDNF overexpression produces a long-term increase in myelin formation in the peripheral nervous system. J Neurosci Res 2004;77:662–9. [73] Makar TK, Bever CT, Singh IS, Royal W, Sahu SN, Sura TP, et al. Brain-derived neurotrophic factor gene delivery in an animal model of multiple sclerosis using bone marrow stem cells as a vehicle. J Neuroimmunol 2009;210:40–51. [74] Cellerino A, Carroll P, Thoenen H, Barde YA. Reduced size of retinal ganglion cell axons and hypomyelination in mice lacking brain-derived neurotrophic factor. Mol Cell Neurosci 1997;9:397–408.
Remyelination in Multiple Sclerosis
215
[75] Mozell RL, McMorris FA. Insulin-like growth factor I stimulates oligodendrocyte development and myelination in rat brain aggregate cultures. J Neurosci Res 1991;30:382–90. [76] Barres BA, Hart IK, Coles HSR, Burne JF, Voyvodic JT, Richardson WD, et al. Cell death and control of cell survival in the oligodendrocyte lineage. Cell 1992;70:31–46. [77] Ye P, D'Ercole AJ. Insulin-like growth factor I protects oligodendrocytes from tumor necrosis factor-alpha-induced injury. Endocrinology 1999;140:3063–72. [78] Goddard DR, Berry M, Butt AM. In vivo actions of fibroblast growth factor-2 and insulin-like growth factor-I on oligodendrocyte development and myelination in the central nervous system. J Neurosci Res 1999;57:74–85. [79] Ye P, Carson J, D'Ercole AJ. Insulin-like growth factor-I influences the initiation of myelination: studies of the anterior commissure of transgenic mice. Neurosci Lett 1995;201:235–8. [80] Beck KD, Powell-Braxton L, Widmer HR, Valverde J, Hefti F. IGF1 gene disruption results in reduced brain size, CNS hypomyelination, and loss of hippocampal granule and stiatal parvalbumin-containing neurons. Neuron 1995;14:717–30. [81] Yao DL, Liu X, Hudson LD, Webster HD. Insulin-like growth factor I treatment reduces demyelination and up-regulates gene expression of myelin-related proteins in experimental autoimmune encephalomyelitis. Proc Natl Acad Sci USA 1995;92:6190–4. [82] Cannella B, Pitt D, Capello E, Raine CS. Insulin-like growth factor-1 fails to enhance central nervous system myelin repair during autoimmune demyelination. Am J Pathol 2000;157:933–43. [83] Mason JL, Xuan S, Dragatsis I, Efstratiadis A, Goldman JE. Insulin-like growth factor (IGF) signaling through type 1 IGF receptor plays an important role in remyelination. J Neurosci 2003;23:7710–8. [84] Mason JL, Jones JJ, Taniike M, Morell P, Suzuki K, Matsushima GK. Mature oligodendrocyte apoptosis precedes IGF-1 production and oligodendrocyte progenitor accumulation and differentiation during demyelination/remyelination. J Neurosci Res 2000;61:251–62. [85] McKinnon RD, Piras G, Ida JA, Dubois-Dalq M. A role for TGF-β in oligodendrocyte differentiation. J Cell Biol 1993;121:1397–407. [86] Diemel LT, Jackson SJ, Cuzner ML. Role for TGF-beta1, FGF-2 and PDGF-AA in a myelination of CNS aggregate cultures enriched with macrophages. J Neurosci Res 2003;74:858–67. [87] Preller V, Gerber A, Wrenger S, Togni M, Marguet D, Tadje J, et al. TGF-beta1mediated control of central nervous system inflammation and autoimmunity through the inhibitory receptor CD26. J Immunol 2007;178:4632–40. [88] Steinbrecher A, Reinhold D, Quigley L, Gado A, Tresser N, Izikson L, et al. Targeting dipeptidyl peptidase IV (CD26) suppresses autoimmune encephalomyelitis and upregulates TGF-beta 1 secretion in vivo. J Immunol 2001;166:2041–8. [89] Racke MK, Dhib-Jalbut S, Cannella B, Albert PS, Raine CS, McFarlin DE. Prevention and treatment of chronic relapsing experimental allergic encephalomyelitis by transforming growth factor-beta 1. J Immunol 1991;146:3012–7. [90] Drescher KM, Murray PD, Lin X, Carlino JA, Rodriguez M. TGF-beta 2 reduces demyelination, virus antigen expression, and macrophage recruitment in a viral model of multiple sclerosis. J Immunol 2000;164:3207–13. [91] Mayer M, Bhakoo K, Noble M. Ciliary neurotrophic factor and leukemia inhibitory factor promote the generation, maturation and survival of oligodendrocytes in vitro. Development 1994;120:143–53.
216
Neuroinflammation
[92] Marmur R, Kessler JA, Zhu G, Gokhan S, Mehler MF. Differentiation of oligodendroglial progenitors derived from cortical multipotent cells requires extrinsic signals including activation of gp130/LIFbeta receptors. J Neurosci 1998;18:9800–11. [93] Louis JC, Magal E, Takayama S, Varon S. CNTF protection of oligodendrocytes against natural and tumor necrosis factor-induced death. Science 1993;259:689–92. [94] Talbott JF, Cao Q, Bertram J, Nkansah M, Benton RL, Lavik E, et al. CNTF promotes the survival and differentiation of adult spinal cord-derived oligodendrocyte precursor cells in vitro but fails to promote remyelination in vivo. Exp Neurol 2007;204:485–9. [95] Stankoff B, Aigrot M-S, Noël F, Watilliaux A, Zalc B, Lubetzki C. Ciliary neurotrophic factor (CNTF) enhances myelin formation: a novel role for CNTF and CNTFrelated molecules. J Neurosci 2002;22:9221–7. [96] Linker RA, Maurer M, Gaupp S, Martini R, Holtmann B, Giess R, et al. CNTF is a major protective factor in demyelinating CNS disease: a neurotrophic cytokine as modulator in neuroinflammation. Nat Med 2002;8:620–4. [97] Butzkueven H, Zhang JG, Soilu-Hanninen M, Hochrein H, Chionh F, Shipham KA, et al. LIF receptor signaling limits immune-mediated demyelination by enhancing oligodendrocyte survival. Nat Med 2002;8:613–19. [98] Vartanian T, Li Y, Zhao M, Stefansson K. Interferon-gamma-induced oligodendrocyte cell death: implications for the pathogenesis of multiple sclerosis. Mol Med 1995;1:732–43. [99] Bugga L, Gadient RA, Kwan K, Stewart CL, Patterson PH. Analysis of neuronal and glial phenotypes in brains of mice deficient in leukemia inhibitory factor. J Neurobiol 1998;36:509–24. [100] Ishibashi T, Lee PR, Baba H, Fields RD. Leukemia inhibitory factor regulates the timing of oligodendrocyte development and myelination in the postnatal optic nerve. J Neurosci Res 2009;87:3343–55. [101] Marriott MP, Emery B, Cate HS, Binder MD, Kemper D, Wu Q, et al. Leukemia inhibitory factor signaling modulates both central nervous system demyelination and myelin repair. Glia 2008;56:686–98. [102] Butzkueven H, Emery B, Cipriani T, Marriott MP, Kilpatrick TJ. Endogenous leukemia inhibitory factor production limits autoimmune demyelination and oligodendrocyte loss. Glia 2006;53:696–703. [103] Linker RA, Kruse N, Israel S, Wei T, Seubert S, Hombach A, et al. Leukemia inhibitory factor deficiency modulates the immune response and limits autoimmune demyelination: a new role for neurotrophic cytokines in neuroinflammation. J Immunol 2008;180:2204–13. [104] Kim JY, Sun Q, Oglesbee M, Yoon SO. The role of ErbB2 signaling in the onset of terminal differentiation of oligodendrocytes in vivo. J Neurosci 2003;23:5561–71. [105] Cannella B, Hoban CJ, Gao YL, Garcia-Arenas R, Lawson D, Marchionni M, et al. The neuregulin, glial growth factor 2, diminishes autoimmune demyelination and enhances remyelination in a chronic relapsing model for multiple sclerosis. Proc Natl Acad Sci USA 1998;95:10100–5. [106] Marchionni MA, Cannella B, Hoban C, Gao YL, Garcia-Arenas R, Lawson D, et al. Neuregulin in neuron/glial interactions in the central nervous system. GGF2 diminishes autoimmune demyelination, promotes oligodendrocyte progenitor expansion, and enhances remyelination. Adv Exp Med Biol 1999;468:283–95. [107] Penderis J, Woodruff RH, Lakatos A, Li W-W, Dunning MD, Zhao C, et al. Increasing local levels of neuregulin (glial growth factor-2) by direct infusion into areas of demyelination does not alter remyelination in the rat CNS. Eur J Neurosci 2003;18:2253–64.
Remyelination in Multiple Sclerosis
217
[108] Chan JR, Watkins TA, Cosgaya JM, Zhang CZ, Chen L, Reichardt LF, et al. NGF controls axonal receptiveness to myelination by Schwann cells or oligodendrocytes. Neuron 2004;43:183–91. [109] Mi S, Lee X, Shao Z, Thill G, Ji B, Relton J, et al. LINGO-1 is a component of the Nogo-66 receptor/p75 signaling complex. Nat Neurosci 2004;7:221–8. [110] Lee X, Yang Z, Shao Z, Rosenberg SS, Levesque M, Pepinsky RB, et al. NGF regulates the expression of axonal LINGO-1 to inhibit oligodendrocyte differentiation and myelination. J Neurosci 2007;27:220–5. [111] Zhang L, Ma Z, Smith GM, Wen X, Pressman Y, Wood PM, et al. GDNF-enhanced axonal regeneration and myelination following spinal cord injury is mediated by primary effects on neurons. Glia 2009;57:1178–91. [112] Iwase T, Jung CG, Bae H, Zhang M, Soliven B. Glial cell line-derived neurotrophic factor-induced signaling in Schwann cells. J Neurochem 2005;94:1488–99. [113] Hoke A, Ho T, Crawford TO, LeBel C, Hilt D, Griffin JW. Glial cell line-derived neurotrophic factor alters axon schwann cell units and promotes myelination in unmyelinated nerve fibers. J Neurosci 2003;23:561–7. [114] Stadelmann C, Kerschensteiner M, Misgeld T, Brück W, Hohlfeld R, Lassmann H. BDNF and gp145trkB in multiple sclerosis brain lesions: neuroprotective interactions between immune and neuronal cells? Brain 2002;125:75–85. [115] Peress NS, Perillo E, Seidman RJ. Glial transforming growth factor (TGF)-beta isotypes in multiple sclerosis: differential glial expression of TGF-beta 1, 2 and 3 isotypes in multiple sclerosis. J Neuroimmunol 1996;71:115–23. [116] Dutta R, McDonough J, Chang A, Swamy L, Siu A, Kidd GJ, et al. Activation of the ciliary neurotrophic factor (CNTF) signalling pathway in cortical neurons of multiple sclerosis patients. Brain 2007;130:2566–76. [117] Zhao C, Fancy SPJ, Kotter MR, Li W-W, Franklin RJM. Mechanisms of CNS remyelination—the key to therapeutic advances. J Neurol Sci 2005;233:87–91. [118] Gensert JM, Goldman JE. Endogenous progenitors remyelinate demyelinated axons in the adult CNS. Neuron 1997;19:197–203. [119] Keirstead HS, Levine JM, Blakemore WF. Response of the oligodendrocyte progenitor cell population (defined by NG2 labelling) to demyelination of the adult spinal cord. Glia 1998;22:161–70. [120] Levison SW, Young GM, Goldman JE. Cycling cells in the adult rat neocortex preferentially generate oligodendroglia. J Neurosci Res 1999;57:435–46. [121] Nishiyama A, Chang A, Trapp BD. NG2 glial cells: a novel glial cell population in the adult brain. J Neuropathol Exp Neurol 1999;58:1113–24. [122] Horner PJ, Power AE, Kempermann G, Kuhn HG, Palmer TD, Winkler J, et al. Proliferation and differentiation of progenitor cells throughout the intact adult rat spinal cord. J Neurosci 2000;20:2218–28. [123] Levine JM, Reynolds R, Fawcett JW. The oligodendrocyte precursor cell in health and disease. Trends Neurosci 2001;24:39–47. [124] Dawson MR, Polito A, Levine JM, Reynolds R. NG2-expressing glial progenitor cells: an abundant and widespread population of cycling cells in the adult rat CNS. Mol Cell Neurosci 2003;24:476–88. [125] Windrem MS, Nunes MC, Rashbaum WK, Schwartz TH, Goodman RA, McKhann G, et al. Fetal and adult human oligodendrocyte progenitor cell isolates myelinate the congenitally dysmyelinated brain. Nat Med 2004;10:93–7. [126] Rivers LE, Young KM, Rizzi M, Jamen F, Psachoulia K, Wade A, et al. PDGFRA/NG2 glia generate myelinating oligodendrocytes and piriform projection neurons in adult mice. Nat Neurosci 2008;11:1392–401.
218
Neuroinflammation
[127] Lu QR, Yuk D, Alberta JA, Zhu Z, Pawlitzky I, Chan J, et al. Sonic hedgehogregulated oligodendrocyte lineage genes encoding bHLH proteins in the mammalian central nervous system. Neuron 2000;25:317–29. [128] Tekki-Kessaris N, Woodruff R, Hall AC, Gaffield W, Kimura S, Stiles CD, et al. Hedgehog-dependent oligodendrocyte lineage specification in the telencephalon. Development 2001;128:2545–54. [129] Qi Y, Stapp D, Qiu M. Origin and molecular specification of oligodendrocytes in the telencephalon. Trends Neurosci 2002;25:223–5. [130] Takebayashi H, Nabeshima Y, Yoshida S, Chisaka O, Ikenaka K, Nabeshima Y. The basic helix-loop-helix factor olig2 is essential for the development of motoneuron and oligodendrocyte lineages. Curr Biol 2002;12:1157–63. [131] Ligon KL, Fancy SP, Franklin RJ, Rowitch DH. Olig gene function in CNS development and disease. Glia 2006;54:1–10. [132] Zhou Q, Wang S, Anderson DJ. Identification of a novel family of oligodendrocyte lineage-specific basic helix-loop-helix transcription factors. Neuron 2000;25:331–43. [133] Arnett HA, Fancy SPJ, Alberta JA, Zhao C, Plant SR, Kaing S, et al. bHLH transcription factor Olig1 is required to repair demyelinated lesions in the CNS. Science 2004;306:2111–5. [134] Balabanov R, Popko B. Myelin repair: developmental myelination redux? Nat Neurosci 2005;8:262–4. [135] Xin M, Yue T, Ma Z, Wu F, Gow A, Lu QR. Myelinogenesis and axonal recognition by oligodendrocytes in brain are uncoupled in Olig1-null mice. J Neurosci 2005;25:1354–65. [136] Lu QR, Sun T, Zhu Z, Ma N, Garcia M, Stiles CD, et al. Common developmental requirement for Olig function indicates a motor neuron/oligodendrocyte connection. Cell 2002;109:75–86. [137] Watanabe M, Hadzic T, Nishiyama A. Transient upregulation of Nkx2.2 expression in oligodendrocyte lineage cells during remyelination. Glia 2004;46:311–22. [138] Fancy SPJ, Zhao C, Franklin RJM. Increased expression of Nkx2.2 and Olig2 identifies reactive oligodendrocyte progenitor cells responding to demyelination. Mol Cell Neurosci 2004;27:247–54. [139] Aguirre A, Dupree JL, Mangin JM, Gallo V. A functional role for EGFR signaling in myelination and remyelination. Nat Neurosci 2007;10:990–1002. [140] Zhou Q, Choi G, Anderson DJ. The bHLH transcription factor Olig2 promotes oligodendrocyte differentiation in collaboration with Nkx2.2. Neuron 2001;31:791–807. [141] Sun T, Echelard Y, Lu R, Yuk DI, Kaing S, Stiles CD, et al. Olig bHLH proteins interact with homeodomain proteins to regulate cell fate acquisition in progenitors of the ventral neural tube. Curr Biol 2001;11:1413–20. [142] Fu H, Qi Y, Tan M, Cai J, Takebayashi H, Nakafuku M, et al. Dual origin of spinal oligodendrocyte progenitors and evidence for the cooperative role of Olig2 and Nkx2.2 in the control of oligodendrocyte differentiation. Development 2002;129:681–93. [143] Sugimori M, Nagao M, Bertrand N, Parras CM, Guillemot F, Nakafuku M. Combinatorial actions of patterning and HLH transcription factors in the spatiotemporal control of neurogenesis and gliogenesis in the developing spinal cord. Development 2007;134:1617–29. [144] Sugimori M, Nagao M, Parras CM, Nakatani H, Lebel M, Guillemot F, et al. Ascl1 is required for oligodendrocyte development in the spinal cord. Development 2008;135: 1271–81.
Remyelination in Multiple Sclerosis
219
[145] Qi Y, Cai J, Wu Y, Wu R, Lee J, Fu H, et al. Control of oligodendrocyte differentiation by the Nkx2.2 homeodomain transcription factor. Development 2001;128:2723–33. [146] Zhao C, Fancy SP, Magy L, Urwin JE, Franklin RJ. Stem cells, progenitors and myelin repair. J Anat 2005;207:251–8. [147] Ara J, See J, Mamontov P, Hahn A, Bannerman P, Pleasure D, et al. Bone morphogenetic proteins 4, 6, and 7 are up-regulated in mouse spinal cord during experimental autoimmune encephalomyelitis. J Neurosci Res 2008;86:125–35. [148] Fuller ML, DeChant AK, Rothstein B, Caprariello A, Wang R, Hall AK, et al. Bone morphogenetic proteins promote gliosis in demyelinating spinal cord lesions. Ann Neurol 2007;62:288–300. [149] Cheng X, Wang Y, He Q, Qiu M, Whittemore SR, Cao Q. Bone morphogenetic protein signaling and olig1/2 interact to regulate the differentiation and maturation of adult oligodendrocyte precursor cells. Stem Cells 2007;25:3204–14. [150] Samanta J, Kessler JA. Interactions between ID and OLIG proteins mediate the inhibitory effects of BMP4 on oligodendroglial differentiation. Development 2004;131: 4131–42. [151] Wang S, Sdrulla A, Johnson JE, Yokota Y, Barres BA. A role for the helix-loop-helix protein Id2 in the control of oligodendrocyte development. Neuron 2001;29:603–14. [152] Fancy SP, Baranzini SE, Zhao C, Yuk DI, Irvine KA, Kaing S, et al. Dysregulation of the Wnt pathway inhibits timely myelination and remyelination in the mammalian CNS. Genes Dev 2009;23:1571–85. [153] Leung JY, Kolligs FT, Wu R, Zhai Y, Kuick R, Hanash S, et al. Activation of AXIN2 expression by beta-catenin-T cell factor. A feedback repressor pathway regulating Wnt signaling. J Biol Chem 2002;277:21657–21665. [154] Vana AC, Lucchinetti CF, Le TQ, Armstrong RC. Myelin transcription factor 1 (Myt1) expression in demyelinated lesions of rodent and human CNS. Glia 2007;55:687–97. [155] Nielsen JA, Berndt JA, Hudson LD, Armstrong RC. Myelin transcription factor 1 (Myt1) modulates the proliferation and differentiation of oligodendrocyte lineage cells. Mol Cell Neurosci 2004;25:111–23. [156] D'Souza B, Miyamoto A, Weinmaster G. The many facets of Notch ligands. Oncogene 2008;27:5148–67. [157] Liu A, Li J, Marin-Husstege M, Kageyama R, Fan Y, Gelinas C, et al. A molecular insight of Hes5-dependent inhibition of myelin gene expression: old partners and new players. EMBO J 2006;25:4833–42. [158] John GR, Shankar SL, Shafit-Zagardo B, Massimi A, Lee SC, Raine CS, et al. Multiple sclerosis: re-expression of a developmental pathway that restricts oligodendrocyte maturation. Nat Med 2002;8:1115–21. [159] Shields SA, Gilson JM, Blakemore WF, Franklin RJM. Remyelination occurs as extensively but more slowly in old rats compared to young rats following gliotoxininduced CNS demyelination. Glia 1999;28:77–83. [160] Sim FJ, Zhao C, Penderis J, Franklin RJM. The age-related decrease in CNS remyelination efficiency is attributable to an impairment of both oligodendrocyte progenitor recruitment and differentiation. J Neurosci 2002;22:2451–9. [161] Gottschling DE. DNA repair: corrections in the golden years. Curr Biol 2006;16: R956–8. [162] Bird A. Perceptions of epigenetics. Nature 2007;447:396–8. [163] Bartova E, Krejci J, Harnicarova A, Galiova G, Kozubek S. Histone modifications and nuclear architecture: a review. J Histochem Cytochem 2008;56:711–21.
220
Neuroinflammation
[164] Marin-Husstege M, Muggironi M, Liu A, Casaccia-Bonnefil P. Histone deacetylase activity is necessary for oligodendrocyte lineage progression. J Neurosci 2002;22: 10333–10345. [165] Tang BL, Chua CE. SIRT2, tubulin deacetylation, and oligodendroglia differentiation. Cell Motil Cytoskeleton 2008;65:179–82. [166] Lyssiotis CA, Walker J, Wu C, Kondo T, Schultz PG, Wu X. Inhibition of histone deacetylase activity induces developmental plasticity in oligodendrocyte precursor cells. Proc Natl Acad Sci. USA 2007;104:14982–14987. [167] He Y, Dupree J, Wang J, Sandoval J, Li J, Liu H, et al. The transcription factor Yin Yang 1 is essential for oligodendrocyte progenitor differentiation. Neuron 2007;55:217–30. [168] Liu A, Han YR, Li J, Sun D, Ouyang M, Plummer MR, et al. The glial or neuronal fate choice of oligodendrocyte progenitors is modulated by their ability to acquire an epigenetic memory. J Neurosci 2007;27:7339–43. [169] Siebzehnrubl FA, Buslei R, Eyupoglu IY, Seufert S, Hahnen E, Blumcke I. Histone deacetylase inhibitors increase neuronal differentiation in adult forebrain precursor cells. Exp Brain Res 2007;176:672–8. [170] Sher F, Rossler R, Brouwer N, Balasubramaniyan V, Boddeke E, Copray S. Differentiation of neural stem cells into oligodendrocytes: involvement of the polycomb group protein Ezh2. Stem Cells 2008;26:2875–83. [171] Mastronardi FG, Wood DD, Mei J, Raijmakers R, Tseveleki V, Dosch HM, et al. Increased citrullination of histone H3 in multiple sclerosis brain and animal models of demyelination: a role for tumor necrosis factor-induced peptidylarginine deiminase 4 translocation. J Neurosci 2006;26:11387–11396. [172] Moscarello MA, Mastronardi FG, Wood DD. The role of citrullinated proteins suggests a novel mechanism in the pathogenesis of multiple sclerosis. Neurochem Res 2007;32:251–6. [173] Wood DD, Ackerley CA, Brand B, Zhang L, Raijmakers R, Mastronardi FG, et al. Myelin localization of peptidylarginine deiminases 2 and 4: comparison of PAD2 and PAD4 activities. Lab Invest 2008;88:354–64. [174] Mastronardi FG, Noor A, Wood DD, Paton T, Moscarello MA. Peptidyl argininedeiminase 2 CpG island in multiple sclerosis white matter is hypomethylated. J Neurosci Res 2007;85:2006–16. [175] Copray S, Huynh JL, Sher F, Casaccia-Bonnefil P, Boddeke E. Epigenetic mechanisms facilitating oligodendrocyte development, maturation, and aging. Glia 2009;57: 1579–87. [176] Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, et al. MicroRNA expression profiles classify human cancers. Nature 2005;435:834–8. [177] Inui M, Martello G, Piccolo S. MicroRNA control of signal transduction. Nat Rev Mol Cell Biol 2010;11:252–63. [178] Loya CM, Van Vactor D, Fulga TA. Understanding neuronal connectivity through the post-transcriptional toolkit. Genes Dev 2010;24:625–35. [179] Liu N, Olson EN. MicroRNA regulatory networks in cardiovascular development. Dev Cell 2010;18:510–25. [180] Lin ST, Fu YH. miR-23 regulation of lamin B1 is crucial for oligodendrocyte development and myelination. Dis Model Mech 2009;2:178–88. [181] Lau P, Verrier JD, Nielsen JA, Johnson KR, Notterpek L, Hudson LD. Identification of dynamically regulated microRNA and mRNA networks in developing oligodendrocytes. J Neurosci 2008;28:11720–11730.
Remyelination in Multiple Sclerosis
221
[182] Lehotzky A, Lau P, Tokesi N, Muja N, Hudson LD, Ovadi J. Tubulin polymerizationpromoting protein (TPPP/p25) is critical for oligodendrocyte differentiation. Glia 2010;58:157–68. [183] Dugas JC, Cuellar TL, Scholze A, Ason B, Ibrahim A, Emery B, et al. Dicer1 and miR-219 are required for normal oligodendrocyte differentiation and myelination. Neuron 2010;65:597–611. [184] Takahashi M, Tomizawa K, Fujita SC, Sato K, Uchida T, Imahori K. A brain-specific protein p25 is localized and associated with oligodendrocytes, neuropil, and fiber-like structures of the CA3 hippocampal region in the rat brain. J Neurochem 1993;60:228–35. [185] Schwartz M, Kipnis J. Protective autoimmunity and neuroprotection in inflammatory and noninflammatory neurodegenerative diseases. J Neurol Sci 2005;233:163–6. [186] Pernet V, Joly S, Christ F, Dimou L, Schwab ME. Nogo-A and myelin-associated glycoprotein differently regulate oligodendrocyte maturation and myelin formation. J Neurosci 2008;28:7435–44. [187] Frank JA, Richert N, Lewis B, Bash C, Howard T, Civil R, et al. A pilot study of recombinant insulin-like growth factor-1 in seven multiple sclerosis patients. Mult Scler 2002;8:24–9. [188] Neumann H, Kotter MR, Franklin RJ. Debris clearance by microglia: an essential link between degeneration and regeneration. Brain 2009;132:288–95. [189] Popovic N, Schubart A, Goetz BD, Zhang SC, Linington C, Duncan ID. Inhibition of autoimmune encephalomyelitis by a tetracycline. Ann Neurol 2002;51:215–23. [190] Skripuletz T, Miller E, Moharregh-Khiabani D, Blank A, Pul R, Gudi V, et al. Beneficial effects of minocycline on cuprizone induced cortical demyelination. Neurochem Res 2010;35:1422–33. [191] Metz LM, Zhang Y, Yeung M, Patry DG, Bell RB, Stoian CA, et al. Minocycline reduces gadolinium-enhancing magnetic resonance imaging lesions in multiple sclerosis. Ann Neurol 2004;55:756. [192] Zabad RK, Metz LM, Todoruk TR, Zhang Y, Mitchell JR, Yeung M, et al. The clinical response to minocycline in multiple sclerosis is accompanied by beneficial immune changes: a pilot study. Mult Scler 2007;13:517–26. [193] Bieber AJ, Warrington A, Pease LR, Rodriguez M. Humoral autoimmunity as a mediator of CNS repair. Trends Neurosci 2001;24(Suppl.):S39–44. [194] Warrington AE, Asakura K, Bieber AJ, Ciric B, Van Keulen V, Kaveri SV, et al. Human monoclonal antibodies reactive to oligodendrocytes promote remyelination in a model of multiple sclerosis. Proc Natl Acad Sci USA 2000;97:6820–5. [195] Asakura K, Miller DJ, Murray K, Bansal R, Pfeiffer SE, Rodriguez M. Monoclonal autoantibody SCH94.03, which promotes CNS remyelination, recognizes an antigen on the surface of oligodendrocytes. J Neurosci Res 1996;43:273–81. [196] Hughes RAC, Swan AV, Raphaël J-C, Annane D, Van Koningsveld R, van Doorn PA. Immunotherapy for Guillain-Barré syndrome: a systematic review. Brain 2007;130: 2245–57. [197] Noseworthy JH, O'Brien PC, Weinshenker BG, Weis JA, Petterson TM, Erickson BJ, et al. IV immunoglobulin does not reverse established weakness in MS. A doubleblind, placebo-controlled trial. Neurology 2000;55:1135–43. [198] Stangel M, Boegner F, Klatt CH, Hofmeister C, Seyfert S. A placebo-controlled pilot trial to study the remyelinating potential of intravenous immunoglobulins in multiple sclerosis. J Neurol Neurosurg Psychiatry 2000;68:89–92.
222
Neuroinflammation
[199] Noseworthy JH, O'Brien PC, Petterson TM, Weis J, Stevens L, Peterson WK, et al. A randomized trial of intravenous immunoglobulin in inflammatory demyelinating optic neuritis. Neurology 2001;56:1514–22. [200] Stangel M, Hartung H-P. Despair of repair. Immunoglobulins in multiple sclerosis. J Neurol Neurosurg Psychiatry 2002;72:1–4. [201] Warrington AE, Bieber AJ, Ciric B, Pease LR, Van KV, Rodriguez M. A recombinant human IgM promotes myelin repair after a single, very low dose. J Neurosci Res 2007;85:967–76. [202] Mi S, Miller RH, Tang W, Lee X, Hu B, Wu W, et al. Promotion of central nervous system remyelination by induced differentiation of oligodendrocyte precursor cells. Ann Neurol 2009;65:304–15. [203] Duncan ID, Grever WE, Zhang S-C. Repair of myelin disease: strategies and progress in animal models. Mol Med Today 1997;3:554–61. [204] Franklin RJM, Blakemore WF. Glial-cell transplantation and plasticity in the O-2A lineage: implications for CNS repair. Trends Neurosci 1995;18:151–6. [205] Yang J, Rostami A, Zhang GX. Cellular remyelinating therapy in multiple sclerosis. J Neurol Sci 2009;276:1–5. [206] Kohama I, Lankford KL, Preiningerova J, White FA, Vollmer TL, Kocsis JD. Transplantation of cryopreserved adult human Schwann cells enhances axonal conduction in demyelinated spinal cord. J Neurosci 2001;21:944–50. [207] Pluchino S, Zanotti L, Rossi B, Brambilla E, Ottoboni L, Salani G, et al. Neurospherederived multipotent precursors promote neuroprotection by an immunomodulatory mechanism. Nature 2005;436:266–71. [208] Pluchino S, Gritti A, Blezer E, Amadio S, Brambilla E, Borsellino G, et al. Human neural stem cells ameliorate autoimmune encephalomyelitis in non-human primates. Ann Neurol 2009;66:343–54. [209] Kalkers NF, Barkhof F, Bergers E, van Schijndel R, Polman CH. The effect of the neuroprotective agent riluzole on MRI parameters in patients with progressive multiple sclerosis: a pilot study. Mult Scler 2002;8:532–3. [210] Ehrenreich H, Aust C, Krampe H, Jahn H, Jacob S, Herrmann M, et al. Erythropoietin: novel approaches to neuroprotection in human brain disease. Metab Brain Dis 2004;19:195–206. [211] Ehrenreich H, Fischer B, Norra C, Schellenberger F, Stender N, Stiefel M, et al. Exploring human recombinant erythropoietin in chronic progressive multiple sclerosis. Brain 2007;130:2577–88. [212] Waxman SG. Mechanisms of disease: sodium channels and neuroprotection in multiple sclerosis-current status. Nat Clin Pract Neurol 2008;4:159–69. [213] Kapoor R, Furby J, Hayton T, Smith KJ, Altmann DR, Brenner R, et al. Lamotrigine for neuroprotection in secondary progressive multiple sclerosis: a randomized, doubleblind, placebo-controlled, parallel-group trial. Lancet Neurol 2010;9:681–8. [214] Zivadinov R. Can imaging techniques measure neuroprotection and remyelination in multiple sclerosis? Neurology 2007;68(Suppl. 3):S72–82. [215] Barkhof F, Brück W, De Groot CJ, Bergers E, Hulshof S, Geurts J, et al. Remyelinated lesions in multiple sclerosis: magnetic resonance image appearance. Arch Neurol 2003;60:1073–81. [216] Filippi M, Agosta F. Imaging biomarkers in multiple sclerosis. J Magn Reson Imaging 2010;31:770–88.
Remyelination in Multiple Sclerosis
223
[217] Deloire-Grassin MSA, Brochet B, Quesson B, Delalande C, Dousset V, Canioni P, et al. In vivo evaluation of remyelination in rat brain by magnetization transfer imaging. J Neurol Sci 2000;178:10–16. [218] Chen JT, Collins DL, Freedman MS, Atkins HL, Arnold DL. Local magnetization transfer ratio signal inhomogeneity is related to subsequent change in MTR in lesions and normal-appearing white-matter of multiple sclerosis patients. Neuroimage 2005;25:1272–8. [219] Schmierer K, Scaravilli F, Altmann DR, Barker GJ, Miller DH. Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain. Ann Neurol 2004;56:407–15. [220] Trip SA, Schlottmann PG, Jones SJ, Li WY, Garway-Heath DF, Thompson AJ, et al. Optic nerve magnetization transfer imaging and measures of axonal loss and demyelination in optic neuritis. Mult Scler 2007;13:875–9. [221] Neema M, Stankiewicz J, Arora A, Guss ZD, Bakshi R. MRI in multiple sclerosis: what’s inside the toolbox? Neurotherapeutics 2007;4:602–17. [222] Le Bihan D, Mangin JF, Poupon C, Clark CA, Pappata S, Molko N, et al. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 2001;13:534–46. [223] Basser PJ, Pajevic S, Pierpaoli C, Duda J, Aldroubi A. In vivo fiber tractography using DT-MRI data. Magn Reson Med 2000;44:625–32. [224] Song SK, Yoshino J, Le TQ, Lin SJ, Sun SW, Cross AH, et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain. Neuroimage 2005;26: 132–40. [225] Sicotte NL, Voskuhl RR, Bouvier S, Klutch R, Cohen MS, Mazziotta JC. Comparison of multiple sclerosis lesions at 1.5 and 3.0 Tesla. Invest Radiol 2003;38:423–7. [226] Schmierer K, Parkes HG, So PW. Direct visualization of remyelination in multiple sclerosis using T2-weighted high-field MRI. Neurology 2009;72:472. [227] Stankoff B, Wang Y, Bottlaender M, Aigrot M-S, Dolle F, Wu C, et al. Imaging of CNS myelin by positron emission tomography. Proc Natl Acad Sci USA 2006;103:9304–9. [228] Lucchinetti C, Brück W, Parisi J, Scheithauer B, Rodriguez M, Lassmann H. Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination. Ann Neurol 2000;47:707–17. [229] Charles P, Reynolds R, Seilhean D, Rougon G, Aigrot MS, Niezgoda A, et al. Re-expression of PSA-NCAM by demyelinated axons: an inhibitor of remyelination in multiple sclerosis? Brain 2002;125:1972–9.
10 Transverse Myelitis Amir-Hadi Maghzi1,2,3, Masoud Etemadifar1,2, Mohammad-Reza Savoj1, J. Steven Alexander 4, Eduardo Gonzalez-Toledo5,6,Alireza Minagar 6 1
Isfahan Research Committee of Multiple Sclerosis (IRCOMS), Isfahan, Iran 2 Department of Neurology, Isfahan University of Medical Sciences, Isfahan, Iran 3 Neuroimmunology Unit, Centre for Neuroscience and Trauma, Blizard Institute of Cell and Molecular Science, Barts and the London School of Medicine and Dentistry, London, UK 4 Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA 5 Department of Radiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA 6 Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, USA
Introduction Acute transverse myelitis (ATM) is an idiopathic inflammatory form of myelopathy that represents only one of the many causes of acute transverse myelopathies. A large and heterogeneous group of pathogenic disorders can cause transverse myelitis, including inflammatory demyelinating disorders like multiple sclerosis (MS), neuromyelitis optica (NMO), and ATM; infections such as herpes simplex and herpes zoster; para- and post-infectious conditions such as acute disseminated encephalomyelitis; vascular disorders; neoplastic and paraneoplastic conditions; collagen vascular diseases such as systemic lupus erythematosus (SLE); and other inflammatory conditions such as neurosarcoidosis. During the initial assessment of patients with acute myelopathy, neurologists must rule out compressive causes of myelopathy by immediately obtaining magnetic resonance imaging (MRI) of the whole spinal cord. Due to the existence of an enormous number of causes for acute myelopathy, highly detailed patient histories and meticulous neurologic examinations are necessary to exclude confounding diagnoses. Consequently, a more focused investigation with specific paraclinical tests is warranted to pinpoint the exact cause of acute myelopathy. Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00010-1 © 2011 Elsevier Inc. All rights reserved.
226
Neuroinflammation
Clinical Manifestations Typically, transverse myelitis presents with spinal cord symptoms and signs that evolve over hours to 2 weeks, but it may present from minutes or recur over a month. In some cases, patients also experience nonspecific symptoms such as fever and muscle pain. Despite the term “transverse,” which refers to the presence of horizontal cord lesions, there is usually a longitudinally growing cord lesion, which expands both rostrally and caudally, and there may be greater involvement in the more central regions of the cord rather than the peripheral areas and with less involvement of the peripheral cord tracts [1–4]. Transverse myelitis may also be classified as either complete or partial. Patients with the complete form of transverse myelitis exhibit more severe symptoms, which indicates involvement of all spinal cord tracts and accompanying loss of corticospinal, sensory, and autonomic functions below the level of the lesion. This form of acute myelopathy is usually observed in the context of trauma or acute necrotizing viral myelitis. The partial form of acute myelitis manifests in several clinical pictures based on the involved tracts. Patients with partial myelitis may present with BrownSéquard hemicord syndrome, and these patients suffer from ipsilateral corticospinal dysfunction (an ipsilateral corticospinal form of weakness) and posterior columnar and contralateral spinothalamic dysfunction. Patients with compressive myelopathies or MS may also present with this form. Patients with occlusion of the anterior spinal artery often present with involvement of bilateral anterior horn cells/corticospinal tracts as well as spinothalamic and autonomic dysfunction. Lesions of the posterior cord secondary to vitamin B12 or copper deficiency present with bilateral loss of posterior column function, which translates into loss of light touch, vibration, and proprioception. Patients with central cord lesions due to NMO or syrinx suffer from dysfunction of crossing spinothalamic, corticospinal, and autonomic tracts. Clinically, these patients develop dissociated sensory loss, weakness, and autonomic dysfunction below these lesions. Lesions of the conus medullaris involve autonomic outflow and sacral spinal cord segments; clinically these patients present with sphincter dysfunction, sacral sensory loss, and mild weakness. Patients with cauda equina pathologies present with impairment of the spinal nerve roots of the cauda equina and suffer from asymmetric flaccid weakness and sensory loss of the lower extremities and autonomic dysfunction. Acute cytomegalovirus polyradiculitis is an example of cauda equina pathology. Selective tract involvement such as selective corticospinal or posterior column tractopathy occurs in metabolic or degenerative myelopathies such as vitamin B12 deficiencies or paraneoplastic syndromes. Clinically, patients with ATM initially experience ascending paresthesia or low back pain associated with weakness of the lower extremities and loss of sphincter function. The initial paresthesia progresses toward loss of pain, temperature, and vibration, and later the patient develops a sensory level, usually at the thoracic cord. Occasionally, a region of hyperesthesia for two to three segments may be present rostral to the lesion. Some patients report a band-like tightness around their trunk. Weakness in patients with ATM may affect one or both of the lower extremities and can range from paresis to complete paralysis with spasticity. In many patients the
Transverse Myelitis
227
weakness is initially flaccid (spinal shock). Since ATM affects the cervical cord less frequently, arm weakness presents less often than leg weakness (seen in nearly 25% of patients). Autonomic pathway involvement produces urinary retention, constipation, adynamic gastrointestinal ileus, attacks of myocardial ischemia and hypertension, impaired sweating below the lesion, and other autonomic dysfunctions [2,4,5]. In most patients with ATM, within a few days to weeks after the initial presentation some of these symptoms abate. Improvement of the clinical manifestations peaks by 3–6 months after the beginning of disease and may continue for a number of years. The degree of improvement ranges from complete to partial with persistent motor, sensory, and autonomic abnormalities [4]. Recurrent transverse myelitis without dissemination of lesions to the other sites of the central nervous system (CNS) (with negative MRI and cerebrospinal fluid [CSF] studies) is uncommon, and may not progress toward MS; however, it may be a component of NMO [6–10]. Uncommonly, infectious diseases such as brucellosis and hepatitis C are associated with recurrent transverse myelitis [10].
Epidemiology Most patients with ATM are young adults, typically in their mid-teens to the mid-40s. The annual incidence of ATM is one to four new patients per 1 million, with no gender or familial predisposition [5,11–13]. Patients of African-American or Eastern Asian background present more often with the NMO picture, with more myelitis and more severe disability compared to Caucasians with MS. ATM may be a manifestation of MS, and these patients show asymmetric clinical symptoms and more sensory than motor deficits; on spinal cord MRI, they exhibit lesions that expand over less than two spinal segments, with abnormal brain MRIs and oligoclonal bands in their CSF [2,14–18].
Pathogenesis The majority of cases of ATM in adults are idiopathic, while in pediatric populations most cases are secondary to other underlying disorders. Two-thirds of ATM cases in children and one-third of ATM cases in adults are associated with viral infections [1,11,19]. Some of the reported viruses include adenoviruses, Coxsackie viruses A and B, Epstein–Barr virus (EBV), herpes simplex virus (HSV-1 and -2), influenza, mumps, rubeola, herpes zoster, and cytomegalovirus [20,21]. ATM associated with viral infections manifests between 3 and 18 days after upper respiratory tract viral infection [22–25]. Less commonly, more protracted courses of transverse myelitis have been reported in patients with HIV and human T-lymphotropic virus (HTLV-1) infections, with a duration of several days to weeks. Nonviral infections such as Mycoplasma, tuberculosis, and borreliosis are occasionally associated with transverse myelitis. Rarely, ATM may occur within the 3 weeks following vaccination due to an immune-mediated reaction to the vaccine (examples include smallpox and rabies). Such reactions have been reported with other vaccines like hepatitis B, typhoid, influenza,
228
Neuroinflammation
rubella, and tetanus [23–28]. A number of mechanisms have been proposed to explain cases of ATM associated with viral infections, including (1) direct injury to the cord tissue (observed in subacute sclerosing panencephalitis) and HIV myelopathy; (2) immune responses to the viral infection that harm cord tissue as a “bystander phenomenon”; (3) cord injury due to release of cytokines; and (4) induction of an autoimmune reaction against the CNS antigen(s) due to discharge of injured myelin, which may be identified as non-self and processed by antigen-presenting cells due to cross-reactivity between viral and host antigen(s) (molecular mimicry). Post-infectious encephalomyelitis [29] and post-rabies vaccination myelitis are examples of this phenomenon [30].
Neuropathology Neuropathologic changes in ATM are restricted to the spinal cord and reveal differences with those observed in MS. In patients with ATM, neuropathologic changes include both axonal loss and demyelination, and in severe cases necrosis and cavitation with extensive tissue damage are present. In MS lesions, lesions are scattered throughout the spinal cord and many of the axons are still preserved. The spinal cord lesions in ATM are symmetrical and usually bilateral. In addition, in ATM spinal cord lesions are more obvious in central parts of the cord rather than the periphery. Conversely, in patients with MS, these lesions are more peripheral (sub-pial beginning) and typically contain demyelinating lesions with roughly spared axons. Microscopically, MS spinal cord lesions demonstrate perivascular infiltration of monocytes and focal infiltration of lymphocytes into the center of the spinal cord, while in cases of transverse myelitis polymorphonuclear leukocytes as well as lymphocytes infiltrate the meningeal membranes; macrophages are usually also present in the parenchyma. Certain forms of inflammatory myelopathies such as NMO, acute hemorrhagic leukoencephalopathy, and progressive necrotizing myelopathy also reveal a necrotizing component in their neuropathology.
Diagnosis Diagnostic criteria for transverse myelitis are presented in Table 10.1. A diagnosis of idiopathic ATM requires that all the inclusion and exclusion criteria in Table 10.1 be met. Since an extensive group of disorders with dissimilar neuropathologies can cause ATM, a multistep diagnostic workup is mandatory. The first step consists of obtaining a detailed clinical history and performing a general and neurologic examination to identify fever, confusion, meningismus, genital infections, rashes, arthralgia and arthritis, pleuritis, shortness of breath, hematuria, anemia, lymphadenopathy, orogenital ulcers, hepatic or splenic enlargement, uveitis, retinitis, livido reticularis, or immunosuppressed status. Then, the most significant step is to exclude spinal cord compression by obtaining an MRI of the spinal cord. Once compressive causes of myelopathy are excluded, other causes of myelopathy should be explored by choosing the appropriate paraclinical tests. Routine laboratory tests for common myelopathies include complete blood count (CBC) and differential, C-reactive protein (CRP),
Transverse Myelitis
229
Table 10.1 Diagnostic Criteria for Idiopathic ATM Inclusion Criteria Development of sensory, motor, or autonomic dysfunction attributable to the spinal cord Bilateral signs and/or symptoms (though not necessarily symmetric) Clearly-defined sensory level Exclusion of extra-axial compressive etiology by neuroimaging (MRI or myelography; CT of spine not adequate) Inflammation within the spinal cord demonstrated by CSF pleocytosis or Elevated IgG index or gadolinium enhancement. If none of the inflammatory criteria is met at symptom onset, repeat MRI and lumbar puncture (LP) evaluation between 2–7 days following symptom onset meets criteria Progression to nadir between 4 h to 21 days following the onset of symptoms (if patient awakens with symptoms, symptoms must become more pronounced from point of awakening) Exclusion Criteria History of previous radiation to the spine within the past 10 years Clear arterial distribution clinical deficit consistent with thrombosis of the anterior spinal artery Abnormal flow voids on the surface of the spinal cord consistent with arteriovenous malformation *Serologic or clinical evidence of connective tissue disease (sarcoidosis, Behçet’s disease, Sjögren syndrome, SLE, mixed connective tissue disorder, etc.) *CNS manifestations of syphilis, Lyme disease, HIV, HTLV-1, mycoplasma, other viral infection (e.g., HSV-1, HSV-2, VZV, EBV, CMV, HHV-6, enteroviruses) *Brain MRI abnormalities suggestive of MS *History of clinically apparent optic neuritis *Do not exclude disease-associated ATM Cited from Ref. [3], with permission from Lippincott Williams & Wilkins. AVM arteriovenous malformation; SLE systemic lupus erythematosus; HTLV-1 human T-cell lymphotropic virus-1; HSV herpes simplex virus; VZV varicella zoster virus; EBV Epstein–Barr virus; CMV cytomegalovirus; HHV human herpes virus.
antinuclear antibody (ANA), serum B12 and folate levels, rapid plasma regain (RPR), NMO-IgG antibody, and serum HIV and HTLV-I/II to distinguish common causes of myelopathy from idiopathic ATM. Other more specific paraclinical blood tests include serum angiotensin-converting enzyme level (for sarcoidosis), autoantibodies ds-DNA, sjogren syndrome type A antigen (SS-A) (Ro), Anti-La (SS-B) (La), Smith antibody (Sm), and ribonucleoprotein (RNP), complement levels, and antiphospholipid antibodies. In certain patients, a computed tomography (CT) scan of the chest, Schirmer’s test, and liver/salivary gland biopsy should be performed. Brain MRI with and without gadolinium should also be done to determine the degree of CNS involvement, which can assist toward the correct diagnosis. MR images of the spinal cord of patients with idiopathic ATM demonstrate contrast enhancement on post-gadolinium T1-weighted views; they present as hyperintense lesions on T2-weighted (Figure 10.1) and short-tau inversion-recovery (STIR) images, which indicate swelling and inflammation of the spinal cord [19,21,31–33].
230
Neuroinflammation
Usually there are isointense or hypointense signals on T1-weighted images. Patients with myelopathy may also have a normal MR examination of the spinal cord. In addition, the extent of spinal cord involvement in MRI does not correlate with clinical severity [34]. Typically, the center of the cord within the thoracic region is involved, as shown by MRI, and several contiguous segments of the cord are affected; other cord regions can be involved, although less commonly [35,36]. Obvious cord swelling is seen in about half of patients with transverse myelitis, but this is not prominent in MS [12]. In patients with extensive MRI lesions, which show contrast enhancement, more residual disability may be observed [37,38]. Patients with heterogeneous cord lesions or simultaneous brain involvement in MRI are more likely to develop MS [39]. CSF analysis also plays a crucial role in the diagnostic workup of ATM, particularly if no structural abnormalities are found on spinal cord MRI. The opening pressure and glucose level are normal in nearly all patients with idiopathic transverse myelitis [2,5]. However, elevated CSF protein levels (around 100 mg/100 mL) and moderate pleocytosis are present in up to 50% of adults and up to 80% of children [1,11,12,19,32,40]. Other requested tests for analysis of CSF include myelin basic
Figure 10.1 (A) MRI. Sagittal T2-weighted view showing hyperintense focus in the spinal cord corresponding to a transverse myelitis. Compare (B) transverse T2-weighted image showing the white and butterfly-shaped gray matter with (C), an image through the area of myelitis.
Transverse Myelitis
231
protein, IgG index and oligoclonal bands in CSF (and a concomitant peripheral blood specimen), cytologic analysis, viral studies (both cultures and other methods to detect DNA or RNA viruses), and routine bacteriologic and parasitic cultures and studies. Other diagnostic exams such as CT myelograms, evoked potentials, optical coherence tomography, and electrodiagnostic tests should be performed in appropriate clinical settings.
Differential Diagnosis Table 10.2 lists diseases with heterogeneous causes in the differential diagnosis of ATM. Table 10.2 Differential Diagnosis of ATM
Inflammatory Multiple sclerosis Neuromyelitis optica Systemic lupus erythematosus Primary Sjögren syndrome Mixed connective tissue disorder Neurosarcoidosis Behçet’s disease Systemic sclerosis Antiphospholipid antibody syndrome
Vascular Anterior spinal artery occlusion Posterior spinal artery occlusion Arteriovenous fistula Hematomyelia Fibrocartilaginous disk embolism
Infectious/Infection-Associated AIDS Human T-lymphotropic virus type I Herpes simplex virus Herpes zoster virus Human herpesvirus 6 Cytomegalovirus Enterovirus
Borrelia Burgdorferi (Lyme Disease) Hepatitis A, B, C
Treponema Pallidum Mycoplasma Pneumoniae Intramedullary or epidural abscesses of spinal cord (usually due to Staphylococcus aureus) (Continued)
232
Neuroinflammation
Table 10.2 Diagnosis TableDifferential 10.2 (Continued ) of ATM
Metabolic–Toxic Vitamin B12 deficiency Folate deficiency Copper deficiency Celiac disease Toxins (e.g., arsenic, clioquinol, ortho-cresyl-phosphate)
Paraneoplastic Myelopathies associated with paraneoplastic antibodies/cancers Small cell lung carcinoma Breast cancer Ovarian cancer Non-small cell lung cancer Lymphoma
Other Causes Decompression sickness Radiation-induced myelopathy Trauma Herniated disk Pathologic vertebral fracture Spondylolisthesis Epidermal lipomatosis
Course and Prognosis The natural history of disease differs among patients and is only loosely related to the severity of early disease. Roughly one-third of patients recover without any sequelae and the same fraction of patients are severely disabled. The remaining third have mild to moderate disability [1,2,4,11]. Generally, patients with partial cord involvement have better outcomes than ones with complete cord involvement [12,40]. Indicators of poorer outcome include severe early weakness, a more rapid progressive course, severe initial knife-like pain, early spinal shock, incontinence, no prominent recovery after 3 months from disease onset, and the presence of a cervical sensory level [41]. Conversely, patients who are younger, with more protracted courses of progression over days to weeks, with preserved deep tendon reflexes and posterior column functions, and with early recovery have more favorable outcomes [1,2]. CSF cell and protein abnormalities are not predictive of outcome [2,5]. The risk of developing MS varies between patients with complete versus partial ATM [42]. A 2–25% of patients with partial transverse myelitis and negative brain MRI will develop MS, but patients with positive brain MRIs have a 44–85% chance [42–44]. Features that increase the probability of future MS in partial cord disease are CSF positive for oligoclonal bands, brain MRI lesions compatible with MS, presence of gadolinium-enhancing cord lesions, positive HLA-DR2, abnormal somatosensory and visual-evoked potentials, and posterolateral cord involvement [42,43–45].
Transverse Myelitis
233
Treatment The first step in treatment is to exclude treatable causes such as compressive lesions, infections, collagen vascular disease, paraneoplastic syndromes, local tumors, and vascular diseases affecting the spinal cord. Based on the underlying pathology the appropriate treatment should be initiated (e.g., surgery for a compressive lesion, antibiotics for infection, and immunosuppressants for collagen vascular diseases). Once the secondary causes of ATM have been excluded, patients should be treated with intravenous corticosteroids (methylprednisolone 1 g intravenously daily for 5 days). Treatment with intravenous corticosteroids or adrenocorticotropin hormone (ACTH) is usually associated with significant improvement of the clinical manifestations. Treatment with corticosteroids or ACTH expedites recovery but has no significant impact on the long-term prognosis. Other symptoms of ATM such as spasticity or pain require symptomatic management. For spasticity, stretching along with muscle relaxants such as baclofen, tizanidine, and dantrolene and a benzodiazepine should be used. Pain management includes medications such as gabapentin, carbamazepine, phenytoin, or simple anesthetics. Use of anticholinergic agents may reduce urinary frequency due to a spastic bladder. Early and late physical rehabilitation can accelerate recovery.
Prognosis The prognosis of ATM is variable; as noted earlier, usually one-third of patients completely recover, one-third have only partial recovery, and one-third will not improve [1,2,4,11]. Patients with partial transverse myelitis (similar to MS) have a more favorable prognosis than those with complete myelitis, and patients with idiopathic ATM recur less frequently than patients with transverse myelitis due to MS. Poor prognostic factors include a sudden catastrophic onset, profound weakness, sensory abnormalities at cervical levels, presence of spinal shock, incontinence, and no improvement after 3 months. Irani and Kerr [41] reported accumulation of 14-3-3 protein in the CSF of patients with ATM who showed minimal or no recovery and recommended that this marker be used as a prognostic factor. Favorable prognostic factors include subacute progression of sensory or motor manifestations over several days or weeks, younger age, early recovery, and retention of posterior column function [1,2].
References [1] Lipton HL, Teasdall RD. Acute transverse myelopathy in adults. A follow-up study. Arch Neurol 1973;28:252–7. [2] Ropper AH, Poskanzer DC. The prognosis of acute and subacute transverse myelopathy based on early signs and symptoms. Ann Neurol 1978;4:51–9. [3] Group TMCW (Transverse Myelitis Consortium Working Group) Proposed diagnostic criteria and nosology of acute transverse myelitis. Neurol 2002;59:499–505. [4] Dunne K, Hopkins IJ, Shield LK. Acute transverse myelopathy in childhood. Dev Med Child Neurol 1986;28:198–204.
234
Neuroinflammation
[5] Altrocchi PH. Acute transverse myelopathy. Arch Neurol 1963;9:111–9. [6] Garcia-Merino A, Blasco MR. Recurrent transverse myelitis with unusual long-standing Gd-DTPA enhancement. J Neurol 2000;247:550–1. [7] Grewal AK, Lopes MB, Berg CL, Bennett AK, Alves VA, Trugman JM. Recurrent demyelinating myelitis associated with hepatitis C viral infection. J Neurol Sci 2004;224:101–6. [8] Kim KK. Idiopathic recurrent transverse myelitis. Arch Neurol 2003;60:1290–4. [9] Jacob A, Nicholas R, Das K, Boggild M. Exploring the relationship of relapsing myelitis with neuromyelitis optica (Devic’s disease) and multiple sclerosis. Ann Neurol 2004;56(Suppl. 8):S33. A88 [10] Chan KH, Tsang KL, Fong GCY, Ho SL, Cheung RTF, Mak W. Idiopathic inflammatory demyelinating disorders after acute transverse myelitis. Eur J Neurol 2006;13:862–8. [11] Berman M, Feldman S, Alter M, Zilber N, Kahana E. Acute transverse myelitis: incidence and etiologic considerations. Neurol 1981;31:966–71. [12] Jeffery DR, Mandler RN, Davis LE. Transverse myelitis. Retrospective analysis of 33 cases, with differentiation of cases associated with multiple sclerosis and parainfectious events. Arch Neurol 1993;50(5):532–5. [13] Christensen PB, Wermuth L, Hinge HH, Bomers K. Clinical course and long-term prognosis of acute transverse myelopathy. Acta Neurol Scand 1990;81(5):431–5. [14] de Seze J, Stojkovic T, Breteau G, Lucas C, Michon-Pasturel U, Gauvrit JY, et al. Acute myelopathies: clinical, laboratory and outcome profiles in 79 cases. Brain 2001;124(Pt 8): 1509–21. [15] Miller DH, Ormerod IE, Rudge P, Kendall BE, Moseley IF, McDonald WI. The early risk of multiple sclerosis following isolated acute syndromes of the brainstem and spinal cord. Ann Neurol 1989;26(5):635–9. [16] Ungurean A, Palfi S, Dibo G, Tiszlavicz L, Vecsei L. Chronic recurrent transverse myelitis or multiple sclerosis. Funct Neurol 1996;11(4):209–14. [17] Scott TF, Bhagavatula K, Snyder PJ, Chieffe C. Transverse myelitis. Comparison with spinal cord presentations of multiple sclerosis. Neurol 1998;50(2):429–33. [18] Bakshi R, Kinkel PR, Mechtler LL, Bates VE, Lindsay BD, Esposito SE, et al. Magnetic resonance imaging findings in 22 cases of myelitis: comparison between patients with and without multiple sclerosis. Eur J Neurol 1998;5(1):35–48. [19] Miyazawa R, Ikeuchi Y, Tomomasa T, Ushiku H, Ogawa T, Morikawa A. Determinants of prognosis of acute transverse myelitis in children. Pediatr Int 2003;45:512–6. [20] Miller HG, Stanton JB, Gibbons JL. Para-infectious encephalomyelitis and related syndromes. Q J Med 1956;25:427–505. [21] Knebusch M, Strassburg HM, Reiners K. Acute transverse myelitis in childhood: nine cases and review of the literature. Dev Med Child Neurol 1998;40:631–9. [22] Paine RS, Byers RK. Transverse myelopathy in childhood. Am J Dis Child 1953;85:151–63. [23] Das RN, Jaykumar J. Acute transverse myelitis following typhoid vaccination. Ulster Med J 2007;76:39–40. [24] Cizman M, Pokorn M, Osredkar D. Re: transverse myelitis after measles and rubella vaccination. J Paediatr Child Health 2005;41:460. [25] Fonseca LF, Noce TR, Teixeira ML, Teixeira Jr AL, Lana-Peixoto MA. Early-onset acute transverse myelitis following hepatitis B vaccination and respiratory infection: case report. Arq Neuropsiquiatr 2003;61(2A):265–8.
Transverse Myelitis
235
[26] Booss J, Davis LE. Smallpox and smallpox vaccination: neurological implications. Neurol 2003;60(8):1241–5. [27] Larner AJ, Farmer SF. Myelopathy following influenza vaccination in inflammatory CNS disorder treated with chronic immunosuppression. Eur J Neurol 2000;7(6):731–3. [28] Ahasan HA, Chowdhury MA, Azhar MA, Rafiqueuddin AK. Neuroparalytic complications after anti-rabies vaccine (inactivated nervous tissue vaccine). Trop Doct 1995;25(2):94. [29] Label LS, Batts DH. Transverse myelitis caused by duck embryo rabies vaccine. Arch Neurol 1982;39:426–30. [30] Tartaglino LM, Heiman-Patterson T, Friedman DP, Flanders AE. MR imaging in a case of postvaccination myelitis. AJNR Am J Neuroradiol 1995;16:581–2. [31] Miller DH, McDonald WI, Blumhardt LD, du Boulay GH, Halliday AM, Johnson G, et al. Magnetic resonance imaging in isolated noncompressive spinal cord syndromes. Ann Neurol 1987;22:714–23. [32] Austin SG, Zee CS, Waters C. The role of magnetic resonance imaging in acute transverse myelitis. Can J Neurol Sci 1992;19:508–11. [33] Kalita J, Misra UK, Mandal SK. Prognostic predictors of acute transverse myelitis. Acta Neurol Scand 1998;98:60–3. [34] Andronikou S, Albuquerque-Jonathan G, Wilmshurst J, Hewlett R. MRI findings in acute idiopathic transverse myelopathy in children. Pediatr Radiol 2003;33:624–9. [35] Barakos JA, Mark AS, Dillon WP, Norman D. MR imaging of acute transverse myelitis and AIDS myelopathy. J Comput Assist Tomogr 1990;14:45–50. [36] Choi KH, Lee KS, Chung SO, Park JM, Kim YJ, Kim HS, et al. Idiopathic transverse myelitis: MR characteristics. Am J Neuroradiol 1996;17(6):1151–60. [37] Sanders KA, Khandji AG, Mohr JP. Gadolinium-MRI in acute transverse myelopathy. Neurol 1990;40:1614–6. [38] Pardatscher K, Fiore DL, Lavano A. MR imaging of transverse myelitis using Gd-DTPA. J Neuroradiol 1992;19:63–7. [39] Simnad VI, Pisani DE, Rose JW. Multiple sclerosis presenting as transverse myelopathy: clinical and MRI features. Neurol 1997;48:65–73. [40] Tippett DS, Fishman PS, Panitch HS. Relapsing transverse myelitis. Neurol 1991;41:703–6. [41] Irani DN, Kerr DA. 14-3-3 protein in the cerebrospinal fluid of patients with acute transverse myelitis. Lancet 2000;355:901. [42] Scott TF, Kassab SL, Singh S. Acute partial transverse myelitis with normal cerebral magnetic resonance imaging: transition rate to clinically definite multiple sclerosis. Mult Scler 2005;11(4):373–7. [43] Perumal J, Zabad R, Caon C, MacKenzie M, Tselis A, Bao F, et al. Acute transverse myelitis with normal brain MRK: long-term risks of multiple sclerosis. J Neurol 2008;255:89–93. [44] Sellner J, Luthi N, Buhler R, Gebhardt A, Findling O, Greeve I, et al. Acute partial transverse myelitis: risk factors for conversion to multiple sclerosis. Eur J Neurol 2008;15:398–405. [45] Bashir K, Whitaker JN. Importance of paraclinical and CSF studies in the diagnosis of multiple sclerosis patients presenting with partial cervical transverse myelopathy: cranial MRI. Mult Scler 2000;6:312–6.
11 Neuromyelitis Optica Natalie Cornay1, Robin Davis1, Meghan Harris2, Brian Rabin2, Karen Small1, Edward Johnson1, Eduardo Gonzalez-Toledo2,3, Stephen Jaffe2, Alireza Minagar 2 1
Louisiana State University School of Medicine, Shreveport, LA, USA Department of Neurology, Louisiana State University School of Medicine, Shreveport, LA, USA 3 Department of Radiology, Louisiana State University School of Medicine, Shreveport, LA, USA 2
Definition and Epidemiology Neuromyelitis optica (NMO) is an inflammatory, immune-mediated disease that targets the optic nerves and spinal cord. Dr. Eugene Devic is credited with the original description of NMO. However, Sir Thomas Clifford Allbutt recognized the combination of optic neuritis (ON) and myelitis almost 20 years earlier [1–4]. NMO may present with either a relapsing–remitting course or a primary progressive course with fulminant disability [4]. Only 10–20% of patients have this monophasic course; approximately 80–90% have a relapsing–remitting course [5]. NMO is often misdiagnosed as multiple sclerosis (MS), since the two diseases can present clinically in a similar fashion. The prevalence and incidence of NMO have not been well established partly due to its original designation as a subtype of MS. Females outnumber males by 3:1, and females more often develop a relapsing–remitting course [4]. Both children and adults may be affected. Asian populations are affected more often than Caucasians; in fact, Asian optico-spinal MS appears to be identical to NMO [6].
Pathophysiology Neuropathologically, NMO lesions demonstrate perivascular and parenchymal leukocyte accumulation, hemorrhagic exudation, and finally fibrosis and tissue necrosis. The underlying pathophysiology of NMO is not completely understood; however, there is strong evidence to support a role for humoral immunity. The NMO-IgG antibody was discovered at the Mayo Clinic by Lennon et al. when a staining pattern in the subpial and Virchow-Robin spaces of rat brain sections being studied for paraneoplastic antibodies was found to be nearly identical to a stained brain section Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00011-3 © 2011 Elsevier Inc. All rights reserved.
238
Neuroinflammation
obtained from an NMO patient. Their work was verified when the same staining pattern was identified in 35 out of 45 Japanese and North American NMO patients, giving a sensitivity of 73% for antibody-positive patients. Additionally, brain slices from 14 patients who underwent a study concentrating on paraneoplastic antibodies also demonstrated this specific staining pattern [3,7]. Upon case review, the clinical history of these patients suggested a diagnosis of either NMO or transverse myelitis. Once the antibody was identified, it was shown that the aquaporin water channel, specifically aquaporin 4 (AQP4), was the binding target of the NMO-IgG. This was based on the staining patterns previously discussed, which localized the antibody to the pericapillary regions of astrocytes and the abluminal faces of cerebral microvessels [8,9]. Lennon et al. confirmed this in a series of experiments using AQP4 knockout mice, NMO-IgG KEK cell recognition, and immunoprecipitation [3,9]. Several pathologic studies have shown consistent loss of AQP4 reactivity in acute NMO lesions [10,11]. This occurs both with and without demyelination, suggesting that loss of AQP4 can occur independently of demyelination [10,12]. Importantly, NMOIgG antibody has not been detected in other neuropathologic conditions.
Clinical Manifestations Clinically, NMO is characterized by severe attacks of ON (Figure 11.1) and/or transverse myelitis (Figure 11.2). The clinical onset is often abrupt and may produce a prodrome that can include headache and low-grade fever. Upper respiratory symptoms
Figure 11.1 Coronal fat-suppressed MRI showing enhancement of the optic nerves after contrast administration, consistent with optic neuritis.
Neuromyelitis Optica
239
or gastrointestinal symptoms often precede the neurologic events. Usually the first clinical manifestation of NMO is ON, which is seen in 56–76% of patients [13]. The attacks of ON can be recurrent or simultaneously bilateral [5]. Merle et al. studied ophthalmologic signs and symptoms in patients diagnosed with NMO and found that ON may present in one eye or more rarely both eyes, and it usually develops before myelitis. Loss of visual acuity to at least 20/200 occurred in one eye within 15–33 months of disease onset, while progression to bilateral optic nerve involvement occurred within 10–16 years of NMO onset. This significant visual loss was often seen after only two attacks. Overall, NMO has a much worse prognosis for residual visual acuity loss than in MS [14]. ON and myelitis occur simultaneously in 4–11% of patients. The time period for involvement of both spinal cord and optic nerve may vary from a few days to years [15]. A diagnosis of NMO may be easily missed if the time interval between the spinal cord and optic nerve involvement spans several years. Transverse myelitis in NMO by definition involves three or more segments of the spinal cord, and myelitis may be the presenting feature. These patients usually have a severe symmetric paraplegia and sensory loss below the level of the lesion. The most common site of myelitis is the thoracic cord (66%) followed by the cervical cord (24%). Bladder and anal sphincter disturbances occur in approximately 87% of
Figure 11.2 Sagittal STIR MRI sequence showing an extensive hyperintense lesion in the cervical spinal cord consistent with demyelination.
240
Neuroinflammation
patients, while respiratory failure affects 22% of patients [13]. Bladder dysfunction usually presents with retention, and most patients are not aware of their bladder difficulties. The clinical NMO episodes are usually more severe than those occurring in MS, and the likelihood of recovery is less [16]. Lhermitte’s sign, an “electric shock” sensation traveling down the back with neck flexion, is often a sign of cervical spinal cord involvement and can often be seen in patients with cervical myelitis [17]. These patients may also develop spasms of the limbs and trunk, which can be painful and debilitating. Lesions in the cervical spinal cord of NMO patients can extend into the brain stem, resulting in nausea, hiccups, and even acute respiratory failure and death. It is uncommon to see acute respiratory failure in MS patients, as the lesions in MS are typically partial and usually do not involve multiple vertebral segments [5]. Because of the risk of respiratory failure, an attack of NMO is often considered a medical emergency.
Diagnostic Criteria In 2006, Wingerchuk et al. introduced the most recent set of diagnostic criteria as a refinement of criteria proposed by the same group in 1999. The 2006 criteria have been simplified to include the presence of (1) ON and (2) acute myelitis with (3) at least two of the following: (a) a contiguous, longitudinal lesion at least three cord segments in length; (b) magnetic resonance imaging (MRI) of the brain that does not meet MS diagnostic criteria; and (c) NMO-IgG seropositivity [18]. The 2006 criteria have been put into regular practice since their proposal and have been determined to have a specificity of 83.3% and a sensitivity of 87.5%. While the current criteria are indeed more specific, the sensitivity of this criteria set has decreased from the 93.3% sensitivity of the 1999 set [19]. Recently, an imaging-based diagnostic approach has yielded a sensitivity of 94% and a specificity of 96%. An NMO diagnosis is based on patients having an MRI that does not fulfill MS diagnostic criteria and a spinal lesion measuring at least three vertebral segments [20]. Current thought has allowed for the assignment of an NMO diagnosis to patients meeting the 2006 criteria with slightly aberrant presentations such as unilaterally symptomatic ON, an indeterminate amount of time between the initial event of ON or myelitis followed by its counterpart, and relapses occurring an unspecified amount of time after the initial attack [16]. The spinal lesions of NMO are readily identified on T2-weighted or short inversion time inversion recovery (STIR) MRI (see Figure 11.2) as extensive longitudinal lesions over three or more vertebral segments that enhance with gadolinium on T1 sequences [18,21]. In the acute phase, ON lesions (see Figure 11.1) will also enhance, and no other cerebral lesions will be apparent [16]. This lack of additional lesions as a diagnostic criterion has been called into question by Wingerchuck et al., among others, who have considered allowing the existence of additional brain and spinal pathology as long as major criteria such as spinal lesion length are met [18]. This was supported by Pittock et al., who stated that although being a somewhat rare
Neuromyelitis Optica
241
presentation, lesions of the deep white matter and the basal ganglia in NMO may be pathologically typical, especially in children [22].
NMO-IgG At the forefront of the development of NMO diagnostic criteria is the use of the autoantibody NMO-IgG. Recognition of the anti-AQP4, or NMO-IgG, antibody has allowed for deeper understanding of its predictive value in NMO patients. Since its discovery, its presence in an NMO patient has been linked to an increased number of attacks experienced by that patient, along with increased residual disability following resolution of the acute phase [23]. Weinshenker et al. found NMO-IgG to be predictive of which NMO patients would experience at least one relapse. In 38% of studied NMO patients with initial attacks of transverse myelitis identified as seropositive for NMO-IgG, 55% experienced a recurrence of disease within 1 year of the initial event. In contrast to this, no seronegative patients experienced recurrent symptoms within the year [24]. Another study indicated that of 22 patients diagnosed with MS, only 2 were NMO-IgG antibody seropositive, providing a specificity of 91% [3,7]. Emphasizing the diagnostic importance of the antibody, Matiello et al. showed that patients of nonCaucasian ancestry were more likely to be NMO-IgG seropositive. Moreover, seropositive patients were more likely to experience a more severe initial attack of ON, and patients who went on to develop myelitis after ON onset had significantly higher antibody titers than patients who did not experience myelitis during the study period. In their study, recurrent longitudinally extensive transverse myelitis (LETM) patients had a 52% seropositivity rate, while 40% of patients experiencing a single, isolated episode of LETM were seropositive [25]. Takahasi et al. confirmed suspicions regarding anti-AQP4 status and disease severity in a study that positively correlated persistent total blindness after acute ON, brain lesion severity, and the peak size of spinal lesions to anti-AQP4 titer levels [26]. The investigators also demonstrated that treatment with high doses of corticosteroids resulted in a significant drop in anti-AQP4 titers, with an apparent decrease in symptom severity [26]. Finally, the concordance of complement deposition and eosinophilic infiltration has been identified in areas of NMO-IgG deposition on brain biopsy, which provides both insight into the disease process as well as an additional, though nontraditional, route for diagnosis of NMO [27].
Visual Evoked Potentials and Ocular Coherence Tomography Current studies employ visual evoked potentials (VEPs) and optical coherence tomography (OCT) to support the diagnosis as well as the appropriate identification of patients with NMO. VEP, in particular, has shown promise linking NMO-IgG seropositivity to increased ON severity. VEP analysis of a group of NMO patients showed that a significantly greater number of NMO-IgG-positive patients lacked the VEP P100 component completely compared to control IgG-seronegative patients, while antibody-negative patients were significantly more likely to experience only a delayed latency of the P100 in both the acute and remission phases of the disease [28].
242
Neuroinflammation
OCT has been used to show the loss of retinal fiber layers associated with visual acuity changes occurring in NMO [29]. MS spectrum disorders and NMO both involve thinning of the retinal nerve fiber layer (RNFL) to some degree, but there was a significantly greater decrease in both the thickness of the mean RNFL and macular retinal ganglion cell volume in NMO patients compared to relapsing– remitting MS patients. Also, VEP latencies were longer, visual field defects were larger, and visual acuity showed a greater reduction in NMO patients. The first attack of NMO ON was responsible for the greatest decrease in RNFL thickness when compared to damage from subsequent ON episodes [29–31]. Ratchford et al. [31] have postulated that the decrease in RNFL change after the first ON episode may be due to the fact that a lower percentage of axons are available to be affected by subsequent attacks.
Differential Diagnosis The differential diagnosis of NMO is quite extensive given the number of physiologic etiologies that can lead to ON, transverse myelitis, or a combination of the two. In constructing a differential for NMO, one must first include diseases falling into the spectrum of inflammatory demyelinating diseases. These include isolated ON, isolated transverse myelitis, acute demyelinating encephalomyelitis, Balo’s concentric sclerosis, relapsing myelitis, and benign MS [32]. In considering patients at initial presentation with limited imaging and laboratory workup, the differential must be expanded to include all manner of viral, bacterial, and parasitic infections; toxic exposures; neoplastic and paraneoplastic processes; degenerative vascular disease; sarcoidosis; and autoantibody syndromes [33]. Early differentiation of NMO, and particularly distinction from MS, is critical as it allows for appropriate early treatment interventions specific for NMO while preventing the use of both unnecessary and inappropriate therapies [11]. Complicating and confusing the specific diagnosis of NMO is the relative frequency with which ON and myelitis occur in MS. Moreover, myelitis and ON are not infrequent presentations of Sjögren syndrome and systemic lupus erythematosus [16]. Further complicating the differential is the fact that autoantibodies such as ANA and SSA/SSB are frequently found in NMO patients, but their significance is uncertain since conflicting reports exist as to their prevalence in NMO-IgG-seropositive patients [34]. As MS and NMO are frequently confused diagnostically, careful attention must be given to distinguishing their clinical presentations. In contrast to MS, NMO ON patients may have mild papilledema, a central scotoma on visual field testing, color blindness, and bitemporal hemianopsia [33]. The severity of the ON episode is dramatically more pronounced and eventual visual recovery is markedly decreased compared to that of MS patients. Recurrent isolated ON without the evidence of MS brain plaques also serves as a hallmark of NMO, but it is a presentation pattern that is often overlooked during the diagnostic process [35]. NMO may also present with persistent hiccupping and respiratory failure, symptoms not usually seen in MS patients.
Neuromyelitis Optica
243
Lhermitte’s sign and paroxysmal tonic spasms are not good distinguishing signs for the two disorders since each occurs with similar frequency in both disorders [35,36]. Diagnostic testing will ultimately serve to distinguish NMO from MS, specifically antibody testing, cerebrospinal fluid (CSF) analysis, and neuroimaging. Beyond the previously discussed NMO-IgG, acute NMO often has a helpful presentation in the CSF, with a mostly polymorphonuclear pleocytosis (>50 cells/mm3; 39%), infrequent oligoclonal bands (34%), and an elevated protein level (25%) [21]. The polymorphonuclear pleocytosis is more common in NMO than MS during an acute myelitis attack, and while the majority of MS patients possess oligoclonal banding, only 20–40% of NMO patients have such a banding pattern [21]. Lack of this banding pattern can only be interpreted as suggestive of NMO, however, as studies indicate that the sensitivity and specificity of oligoclonal band absence is quite low [18]. Differentiating the ocular signs and symptoms in MS and NMO may be difficult; but as previously discussed, OCT can be useful [37]. While both MS and NMO patients may present with visual impairment, the distinction between the diseases can be seen at the level of the optic nerve and the pathologic characteristics of the lesions themselves. NMO patients have optic nerves that appear softer and grayer in color, and the lesions may actually extend across the optic chiasm [38]. MS optic nerve lesions do not show the atrophy and necrosis seen in NMO [14]. Even the actual demyelination in NMO shows more of a preference for the optic nerve’s central area, and this may create a central hollowing [39]. From the neuroimaging viewpoint, the brain lesions of MS identified on MRI are often greater than 3 cm in length, ovoid, and located in the periventricular, cerebellar, and infratentorial regions [40]. On the other hand, MRI brain lesions, which are sometimes present in NMO, are seen in the brain stem and diencephalon [40]. In the spine, MS plaques are shorter and are regularly less than one segment in length [16]. However, the diagnosis of NMO cannot be excluded in a patient who has only a 1-cm spinal lesion, since NMO lesions may partially resolve and thus decrease in size, necessitating a review of prior spinal MRIs [16,41]. To add to the diagnostic confusion, as NMO lesions age, they may take on the radiographic appearance of MS lesions [18]. NMO-IgG seropositivity may also provide insight into the interpretation of imaging results, as there is a higher frequency of deep white matter lesions as well as a comparatively longer length of the spinal cord lesion in seropositive compared to seronegative NMO patients [34]. Finally, it may be difficult to assign the diagnosis of NMO during an initial attack, but it should always be remembered that recurrent attacks of ON and/or myelitis with no abnormalities otherwise on the brain MRI are highly suggestive of NMO, being a pathophysiologic hallmark of this disease [18].
Treatment Evidence for the efficacy of treatment options for NMO is limited mainly to case reports and small retrospective studies. Large randomized controlled trials are not practical because of the rarity of the disease and the ethical problem of placebo
244
Neuroinflammation
treatment of a disease that has a high morbidity and mortality and thus requires early treatment. Comparative studies of the therapeutic options are also limited. Because humoral immunity is implicated in the pathogenesis of NMO, therapy focuses on immunosuppression, especially modification of B-cell responses [42]. Therapy for NMO involves treatment of acute attacks and maintenance immunosuppression for prevention of relapses. A basic treatment plan for NMO proposed by Wingerchuk and Weinshenker designates corticosteroids for acute attacks, with plasmapheresis added to the steroid regimen in cases of steroid failure. For prevention of relapses in mild NMO, low-dose steroids and chemotherapeutic agents are recommended; mycophenolate mofetil should be reserved for moderate NMO and rituximab for severe NMO [43]. For acute attacks, intravenous corticosteroids are the first line of treatment. There are no studies specifically corroborating their use in NMO ON or myelitis attacks; however, studies in MS patients show benefit [44,45]. Intravenous methylprednisolone given at a dose of 1000 mg daily for five consecutive days with an optional oral prednisone taper is a common protocol [46]. In acute attacks, plasma exchange as an add-on to corticosteroid therapy is the accepted treatment for minimizing residual impairment. In a retrospective study of 43 patients with acute NMO and extensive transverse myelitis, daily plasma exchange for 5 days with concomitant steroid treatment was compared to steroid-only treatment [47]. Residual impairment, defined in this study as a change from baseline to a higher residual Expanded Disability Status Scale (EDSS), was lower in the group treated with plasma exchange and steroids than in the group treated with steroids alone. NMO-IgG seropositivity was found to be irrelevant to the efficacy of plasma exchange. There was no difference in the efficacy of plasma exchange in patients in whom exchange was initiated up to 41 days after attack onset. In patients with NMO, the progression of disability is attack-dependent; therefore, maintenance immunosuppression is an important component of therapy. Maintenance immunotherapy should be started when a patient has two or more attacks and should be considered with a first attack if there is longitudinally extensive myelitis and NMO-IgG seropositivity, as these characteristics are associated with a high risk of relapse [46]. Immunosuppressive drugs have been shown to be more effective than immunomodulatory drugs such as interferon-beta or glatiramer acetate (GA) for longterm therapy [48]. Unfortunately, comparative studies of the different immunosuppressants used to treat NMO do not exist. One of the first-line options in maintenance immunosuppression is azathioprine combined with corticosteroids. The current standard protocol used by many neurologists consists of azathioprine, 2–3 mg/kg daily, along with oral prednisone, 1 mg/kg daily, followed by a slow taper of the prednisone [43]. The results of a prospective uncontrolled study of a cohort of seven patients with NMO suggest there is benefit with this combination in improving EDSS, and preventing relapses for more than 18 months [49]. A course of high-dose intravenous methylprednisolone was given, 500 mg twice daily, as a 2-h infusion for five consecutive days, followed by oral prednisone (1 mg/kg/day) for 2 months. Oral azathioprine (2 mg/kg/day) was started at week 3 with a slow taper of prednisone at the end of the second month. None of the patients
Neuromyelitis Optica
245
experienced serious side effects that necessitated discontinuation of therapy. The main side effects of azathioprine were gastrointestinal upset and hepatotoxicity [43]. Other chemotherapeutic drugs that have been used in combination with corticosteroids include cyclophosphamide and methotrexate. Cyclophosphamide can be given as monthly pulses of 0.5–1.5 g/m2 for 6–8 months. Methotrexate is given at a dose of 7.5–15 mg weekly with folate supplementation [50]. Monotherapy with low-dose corticosteroids has also been proposed and would have the benefit of avoiding the side effects of additive chemotherapeutic agents. In a retrospective study of nine patients with NMO, low-dose corticosteroid monotherapy was found to decrease the annual relapse rate [51]. The authors compared the relapse rate during the use of corticosteroids with that during corticosteroid-free periods and found the relapse rate to be significantly lower when patients were taking corticosteroids. Doses of greater than 10 mg/day were associated with a lower relapse rate than doses less than 10 mg. Studies comparing corticosteroid monotherapy to therapy combining corticosteroids with chemotherapeutic drugs are warranted. Two chemotherapeutic agents that have shown benefit for more severe NMO are mitoxantrone and mycophenolate mofetil. Both drugs have a cytostatic effect on both T and B lymphocytes [42]. In a small prospective 2-year study of five NMO patients, Weinstock-Guttman et al. explored the treatment of NMO with mitoxantrone. In four of the five patients, this drug had a beneficial effect based on reduction in relapse rates and stabilization or improvement of the EDSS and the MRI [52]. Mitoxantrone was given intravenously 12 mg/m2 monthly for 6 months followed by three additional treatments every third month until a maximum dose of 100 mg/m2 was reached, at which time azathioprine and methylprednisolone were given until the end of the 2-year study period. Mitoxantrone has a restricted cumulative life dose of 100 mg/m2 because of cardiotoxicity, and its use requires lifetime ejection fraction monitoring [52]. Use of mitoxantrone has also been associated with an increased risk of developing myeloid leukemia [42]. Mycophenolate mofetil reversibly inhibits inosine monophosphate dehydrogenase, a necessary enzyme in guanosine nucleotide synthesis, thereby blocking T- and B-cell proliferation [53]. Mycophenolate mofetil can be given alone or with pulse doses of steroids, intravenous immunoglobulin (IVIG), or plasmapheresis. Falcini et al. described a case of a 9-year-old girl with NMO who failed to respond to a trial of azathioprine but did respond to 2 g/day of mycophenolate mofetil with a 2-year relapse-free period and reduction in lesion load on MRI [54]. A retrospective analysis of 24 patients with NMO spectrum disorders showed that mycophenolate (median dose 2 g/day) reduced annualized relapse rates in 79% and stabilized or reduced disability as measured by EDSS in 91% of patients [55]. In one of the patients, low white blood cell counts necessitated discontinuation of the drug. Mycophenolate mofetil has also been associated with progressive multifocal leukoencephalopathy when used with other immunosuppressants in transplant and systemic lupus erythematosus patients [56]. Rituximab, a chimeric human-murine anti-CD20 monoclonal antibody that selectively depletes CD20 B cells, is a promising drug for maintenance immunosuppression in patients with NMO. In an open-label study of eight patients with NMO,
246
Neuroinflammation
patients received rituximab intravenously at a dose of 375 mg/m2 given once per week for 4 weeks, with bimonthly monitoring of B-cell counts [57]. If B-cell counts became detectable, patients were given the option of retreatment with rituximab. Two IV infusions of 1000 mg, 2 weeks apart, constituted retreatment. Six of eight patients remained attack-free for a median period of 12 months, with a median pretreatment attack rate of 2.6 attacks per patient per year decreasing to 0 attacks per patient per year. In a retrospective analysis of 25 NMO patients given infusions of rituximab, 80% of patients appeared to have a reduction in the frequency of relapses, and an improvement or stabilization of disability [58]. Patients were treated with one of two rituximab regimens: either 375 mg/m2 infused once per week for 4 weeks or 1000 mg infused twice with 2 weeks between infusions. Seventeen patients received rituximab retreatment. Rituximab use was associated with infection in 5 of 25 patients (20%) and included reactivation of herpes simplex virus, positive tuberculosis skin test conversion, recurrent C. difficile, cutaneous fungal infection, and a fatal urinary tract infection-related septicemia. Rituximab use has also been associated with progressive multifocal leukoencephalopathy in patients with systemic lupus erythematosus or systemic vasculitis, and lymphoma patients treated with rituximab in combination with other immunosuppressants [59]. In addition, rituximab is associated with a risk of infusion reactions, including fever, angioedema, and hypotension [46]. Rituximab treatment also has the disadvantage of being significantly more expensive than other immunosuppressants. A case report by Capobianco et al. [60] paints a less optimistic picture of the efficacy of rituximab in NMO. They described a patient with very severe NMO who was given rituximab (375 mg/m2 weekly for 4 weeks) after failing to respond to treatment with steroids and cyclophosphamide. Within 1 month of completion of treatment, the patient had nondetectable CD19 B cells but experienced a relapse with an increase in EDSS and a new spinal lesion on MRI. The same authors presented a case of another patient with NMO who was treated with rituximab and experienced initial clinical improvement, but then had a relapse and new spinal lesion on MRI when CD19 B cells became detectable 6 months after the completion of treatment. A second course of rituximab was then administered, with undetectable CD19 cells at 6 months and no further clinical relapses. Based on the correlation between CD19 levels and disease activity in the second patient, the authors suggested more frequent monitoring of CD19 levels than the bimonthly detection proposed by previous studies. Another proposed maintenance immunosuppressive regimen is monthly intravenous gamma globulin. Because antibodies are implicated in the pathogenesis of NMO, IVIG (blocking antibodies) seems a promising therapy [42]. Information on the efficacy of IVIG is limited. Bakker and Metz [61] reported two cases in which patients with NMO unresponsive to other immunosuppressive therapy were started on IVIG and experienced 5-year and 1-year relapse-free periods with improvement in neurologic status. In addition to its use in acute therapy, plasmapheresis may also be indicated for long-term therapy. Miyamoto and Kusunoki [62] proposed the use of intermittent plasmapheresis in combination with immunosuppressants to prevent attacks in patients in whom steroids and other maintenance immunosuppression have failed.
Neuromyelitis Optica
247
They reported four patients in whom plasmapheresis—plasma exchange, double filtration plasmapheresis, or immunoadsorption plasmapheresis—was successful in preventing relapse and in achieving functional improvement. The patients received one to five plasmapheresis treatments over a 1- to 2-week period in addition to maintenance therapy with prednisolone and azathioprine or cyclophosphamide. Immunomodulating drugs, including GA and interferon-beta, are generally less effective for NMO than they are for MS [63]. GA likely works by inducing immunomodulatory Th2-like populations. Because activation of eosinophils with a resultant Th1 to Th2 shift and thus further activation of eosinophils is implicated in the pathophysiology of NMO, a drug that induces a Th1 to Th2 shift seems problematic. However, the proposed benefit of GA may be due to the fact that GA-specific Th2 cells produce brain-derived neurotrophic factor, which may promote neuronal survival and repair of myelin [64]. There have been many case reports of a decrease in relapse rate in NMO with the use of GA. Gartzen et al. [65] described a case of a 48-yearold woman with relapsing NMO who failed to respond to cyclophosphamide and steroid treatment but did respond to GA (20 mg subcutaneously daily) and monthly steroid pulses with a reduction in relapses from three in 11 months on cyclophosphamide to a relapse-free period of over 38 months on GA. MRI at 12 months of therapy showed previous cervical lesions to be in remission, with no new lesions. Bergamaschi et al. [66] reported a case of a patient with relapsing NMO whose relapse rate was reduced from 0.93/year to 0.25/year after starting GA. Despite lack of evidence for the efficacy of GA and suggestions that immunomodulation may not be as effective as immunosuppression, GA should not be discarded as a therapeutic option. It has a good safety profile and could be useful in patients who cannot tolerate immunosuppressive drugs. Interferon-beta, another immunomodulatory agent that has been shown to be effective in MS, has not been shown to be effective in NMO—and a few studies suggest it may even be harmful in NMO. In a retrospective study, Tanaka et al. analyzed the effects of IFNβ-1b treatment on disease exacerbation and disability progression in MS and NMO patients. The relapse numbers and annualized relapse rates in the MS patients significantly decreased within 1 year after interferon treatment (250 μg of interferon-beta subcutaneously every other day for 1 year), but there was no statistically significant decrease in the NMO group. NMO patients also had a greater change in EDSS 1 year after treatment initiation than MS patients. Tanaka et al. [67] concluded that interferon treatment was not effective in reducing either the relapse rate or the disability progression of NMO patients. Another study retrospectively reviewed therapies in 26 patients with NMO and compared the probability of relapse on interferon therapy with the probability of relapse on immunosuppressive therapy such as cyclophosphamide, mitoxantrone, or azathioprine. The probability of relapse was found to be significantly lower in the immunosuppressive drug group [48]. Shimizu et al. [68] described a case of a woman with NMO, and a case of a woman with recurrent LETM without ON. Both patients were positive for anti-AQP4 antibody. The patients received interferon and within 2 months of treatment initiation, both developed extensive tumefactive brain lesions that were not present before interferon therapy. The authors suggested that if the interferon administration was causative,
248
Neuroinflammation
it have been due to interferon’s transient upregulation of Th1 cytokines. Another study in Japan by Warabi et al. [69] retrospectively analyzed the effects of IFNβ-1b treatment on patients with NMO, MS, and borderline MS with NMO features. The study found that patients with NMO or MS with severe optic nerve and spinal cord demyelination mimicking NMO received no benefit from IFNβ-1b treatment and that the clinical status of such patients was actually exacerbated (increase in relapse rate and disease progression) during treatment. One important side effect of interferon treatment is skin ulceration at the injection site, which can be severe enough to necessitate surgical treatment [69]. Symptomatic therapies for NMO involve the use of anticonvulsants for paroxysmal tonic spasms, antispasticity drugs and botulinum toxin injections for spasticity, and tricyclic antidepressants or anticonvulsants for neuropathic pain [43]. There is no evidence that diet and lifestyle factors are beneficial, but physical therapy may be helpful. Interventions such as mechanical ventilation or ambulatory assistive devices may be temporarily required during attacks [43]. Research concerning therapy for NMO is currently under way. With the recent finding that NMO is associated with a specific autoantibody (anti-AQP4), new therapies will likely focus on this target—especially if the antibody is found to have a definite pathophysiologic relationship to NMO [70]. Controlled studies of these potential therapies will be necessary but difficult, as previously discussed.
References [1] O’Riordan JI. Central nervous system white matter diseases other than multiple sclerosis. Curr Opin Neurol 1997;10(3):211–4. [2] Murray TJ. Multiple sclerosis: the history of a disease. New York: Demos Medical Publishing; 2005. [3] Lennon VA, Wingerchuk DM, Kryzer TJ, Pittock SJ, Lucchinetti CF, Fujihara K, et al. A serum autoantibody marker of neuromyelitis optica: distinction from multiple sclerosis. Lancet 2004;364(9451):2106–12. [4] Wingerchuk DM. Neuromyelitis optica: effect of gender. J Neurol Sci 2009;286:18–23. [5] Wingerchunuk DM, Lennon VA, Lucchinetti CF, Pittock SJ, Weinshenker BG. The spectrum of neuromyelitis optica. Lancet Neurol 2007;6:805–15. [6] Cabre P, Signate A, Olindo S, Merle H, Caparros-Lefebvre D, Béra O, et al. Role of return migration in the emergence of multiple sclerosis in the French West Indies. Brain 2005;128(Pt 12):2899–910. [7] Cree B. Neuromyelitis optica: diagnosis, pathogenesis, and treatment. Curr Neurol Neurosci Rep 2008;8:427–33. [8] Agree P, Nielsen S. The aquaporin family of water channels in the kidney. Nephrologie 1996;17:409–15. [9] Lennon VA, Kryzer TJ, Pittock SJ, Verkman AS, Hinson SR. IgG marker of optic-spinal multiple sclerosis binds to the aquaporin-4 water channel. J Exp Med 2005;202:473–7. [10] Roemer SF, Parisi JE, Lennon VA, Benarroch EE, Lassmann H, Bruch W, et al. Patternspecific loss of aquaporin-4 immunoreactivity distinguishes neuromyelitis optica from multiple sclerosis. Brain 2007;130:1194–205.
Neuromyelitis Optica
249
[11] Misu T, Fujihara K, Nakamura M, Murakami K, Endo M, Konno H, et al. Loss of aquaporin-4 in active perivascular lesions in neuromyelitis optica: a case report. Tohoku J Exp Med 2006;209:269–75. [12] Misu T, Fujihara K, Kakita A, Konno H, Nakamura M, Watanabe S, et al. Loss of aquaporin 4 in lesions of neuromyelitis optica: distinction from multiple sclerosis. Brain 2007;130:1224–34. [13] Whitham RH, Brey RL. Neuromyelitis optica: two cases and review of the literature. J Clin Neuro Opthalmol 1985;5(4):263–9. [14] Merle H, Olindo S, Bonnan M, Donnio A, Richer R, Smadja D, et al. Natural history of the visual impairment of relapsing neuromyelitis optica. Ophthalmology 2007;114:810–5. [15] Mandler RN, Davis LE, Jeffrey DR, Kornfeld M. Devic’s neuromyeltitis optica: a clinicopathological study of 8 patients. Ann Neurol 1993;34(2):162–8. [16] Schwartzman R. Neurologic examination, 1st ed. Malden Massachusetts: Blackwell Publishing; 2006. [17] Wingerchuk DM. Neuromyelitis optica. Int MS J 2006;13:42–50. [18] Wingerchuk DM, Lennon VA, Pittock SJ, Lucchinetti CF, Weinshenker BG. Revised diagnostic criteria for neuromyelitis optica. Neurology 2006;66:1485–9. [19] Saiz A, Zulani L, Blanco Y, Tavolato B, Giometto B, Graus F, et al. Revised diagnostic criteria for neuromyelitis optica (NMO). Application in a series of suspected patients. J Neurol 2007;254:1233–7. [20] Wingerchuk DM, Pittock SJ, Lennon VA, Lucchinett CF, Weinshenker BG. Neuromyelitis optica diagnostic criteria revisited: validation and incorporation of the NMO-IgG serum autoantibody. Neurology 2005;64(Suppl. 1):A38. [21] Wingerchuk DM, Hogancamp WF, O’Brien PC, Weinshenker BG. The clinical course of neuromyelitis optica (Devic’s syndrome). Neurology 1999;53:1107–14. [22] Pittock SJ, Lennon VA, Krecke K, Wingerchuk DM, Lucchinetti CF, Weinshenker BG. Brain abnormalities in neuromyelitis optica. Arch Neurol 2006;63(3):390–6. [23] Cabrera-Gomez JA, Bonnan M, Gonzalez-Quevedo A, Saiz-Hinarejos A, Marignier R, Olindo S, Graus F, et al. Neuromyelitis optica positive antibodies confer a worse course in relapsing-neuromyelitis optica in Cuba and French West Indies. Mult Scler 2009;15:828–33. [24] Weinshenker BG, WIngerchuk DM, Vukusic S, Linbo L, Pittock SJ, Lucchinetti CF, et al. Neuromyelitis optica predicts relapse after longitudinally extensive transverse myelitis. Ann Neurol 2006;59:566–9. [25] Matiello M, Lennon VA, Jacob A, Pittock SJ, Lucchinetti CF, Wingerchuk DM, et al. NMO-IgG predicts the outcome of recurrent optic neuritis. Neurology 2008;70:2197–200. [26] Takahashi T, Fujiara K, Nakashima I, Misu T, Miyazawa I, Nakamura M, et al. Anti aquaporin-4 antibody is involved in the pathogenesis of NMO: a study on antibody titre. Brain 2007;130:1235–43. [27] Matiello M, Jacob A, Wingerchuk DM, Weinshenker BG. Neuromyelitis optica. Curr Opin Neurol 2007;20:255–60. [28] Watanabe A, Matsushita T, Doi H, Matsuoka T, Shigeto H, Isobe N, et al. Multimodalityevoked potential study of anti-aquaporin-4 antibody-positive and -negative multiple sclerosis patients. J Neurol Sci 2009;28:34–40. [29] De Seze J, Blanc F, Jeanjean L, Zéphir H, Labauge P, Bouyon M, et al. Optical coherence tomography in neuromyelitis optica. Arch Neurol 2008;65:920–3.
250
Neuroinflammation
[30] Jindahra PA, Hedges TR, Mendoza-Santiesteban CE, Plant GT. Optical coherence tomography of the retina: applications in neurology. Curr Opin Neurol 2010;23:16–23. [31] Ratchford JN, Quigg ME, Conger A, Frohman T, Frohman E, Balcer LJ, et al. Optical coherence tomography helps differentiate neuromyelitis optica and MS optic neuropathies. Neurology 2009;73:302–8. [32] Lalive P. Autoantibodies in inflammatory demyelinating diseases of the central nervous system. Swiss Med Wkly 2008;138:692–707. [33] Cree BA, Goodin DS, Hauser SL. Neuromyelitis optica. Spinal Disord 2002;22:105–22. [34] Adoni T, Lino AM, da Gama PD, Apóstolos-Pereira SL, Marchiori PE, Kok F, et al. Recurrent neuromyelitis optica in Brazilian patients: clinical, immunological, and neuroimaging characteristics. Mult Scler 2010;16:81–7. [35] Wingerchuk DM. Diagnosis and treatment of neuromyelitis optica. Neurology 2007;13:2–11. [36] Misu T, Fujihara K, Nakashima I, Sato S, Itoyama Y. Intractable hiccup and nausea with periaquecutal gray lesions in neuromyelitis optica. Neurology 2005;65:1479–82. [37] Ratchford JN, Quigg ME, Conger BA, Frohman T, Frohman E, Balcer LJ, et al. Optical coherence tomography helps differentiate neuromyelitis optica and MS optic neuropathies. Neurology 2009;73:302–8. [38] Vernant JC, Cabre P, Smadja D, Merle H, Caubarrère I, Mikol J, et al. Recurrent optic neuromyelitis with endocrinologies: a new syndrome. Neurology 1997;48:58–64. [39] Mandler N, Davis LE, Jeffery DR, Kornfeld M. Devic’s neuromyelitis optica: a clinicopathological study of 8 patients. Ann Neurol 1993;34:162–8. [40] Cheng Q, Miao L, Zhang J, Guan YT, Liu ZG, Wang X, et al. Clinical features of patients with multiple sclerosis from Shanghai, China. Mult Scler 2008;14:671–8. [41] Bot JC, Barkhof F, Polman C, Lycklama à Nijeholt GJ, de Groot V, Bergers E, et al. Spinal cord abnormalities in recently diagnosed MS patients; added volume of spinal MRI examination. Neurology 2004;62:226–33. [42] Bergamaschi R. Immune agents for the treatment of Devic’s neuromyelitis optica. Neurol Sci 2007;28:238–40. [43] Wingerchuk DM, Weinshenker BG. Neuromyelitis optica. Curr Treat Options Neurol 2008;10:55–66. [44] Beck RW, Cleary PA, Anderson Jr MM, Keltner JL, Shults WT, Kaufman DI, et al. A randomized, controlled trial of corticosteroids in the treatment of acute optic neuritis. N Engl J Med 1992;326:581–8. [45] Brusaferri F, Candelise L. Steroids for multiple sclerosis and optic neuritis: a metaanalysis of randomized controlled clinical trials. J Neurol 2000;247:435–42. [46] Wingerchuk DM. Diagnosis and treatment of neuromyelitis optica. Neurologist 2007;13:2–11. [47] Bonnan M, Valentino R, Olindo S, Mehdaoui H, Smadja D, Cabre P. Plasma exchange in severe spinal attacks associated with neuromyelitis optica spectrum disorder. Mult Scler 2009;15:487–92. [48] Papeix C, Vidal J-S, de Seze J, Pierrot-Deseilligny C, Tourbah A, Stankoff B, et al. Immunosuppressive therapy is more effective than interferon in neuromyelitis optica. Mult Scler 2007;13:256–9. [49] Mandler RN, Ahmed W, Dencoff JE. Devic’s neuromyelitis optica: a prospective study of seven patients treated with prednisone and azathioprine. Neurology 1998;51(4):1219–20. [50] Minagar A, Sheremata WA. Treatment of Devic’s disease with methotrexate and prednisone. Int J MS Care 2000;2:39–43.
Neuromyelitis Optica
251
[51] Watanabe S, Misu T, Miyazawa I, Nakashima I, Shiga Y, Fujihara K, et al. Low-dose corticosteroids reduce relapses in neuromyelitis optica: a retrospective analysis. Mult Scler 2007;13:128–32. [52] Weinstock-Guttman B, Ramanathan M, Lincoff N. Study of mitoxantrone for the treatment of recurrent neuromyelitis optica (Devic disease). Arch Neurol 2006;63:957–63. [53] Allison AC, Eugui E. The design and development of an immunosuppressive drug, mycophenolate mofetil. Springer Semin Immunopathol 1993;14(4):353–80. [54] Falcini F, Trapani S, Ricci L, Resti M, Simonini G, de Martino M. Rheumatology 2010;45(7):913–5. [55] Jacob A, Matiello M, Weinshenker B, Wingerchuk D, Lucchinetti C, Shuster E, et al. Treatment of neuromyelitis optica with mycophenolate mofetil: retrospective analysis of 24 patients. Arch Neurol 2009;66(9):1128–33. [56] US Food and Drug Administration Communication about an ongoing safety review of CellCept (mycophenolate mofetil) and Myfortic (mycophenolic acid). Rockville, MD: US Food and Drug Administration; 2008. [57] Cree BA, Lamb S, Morgan K, Chen A, Waubant E, Genain C, et al. An open label study of the effects of rituximab in neuromyelitis optica. Neurology 2005;64(7):1270–2. [58] Jacob A, Weinshenker BG, Violich I, McLinskey N, Krupp L, Fox RJ, et al. Treatment of neuromyelitis optica with rituximab; retrospective analysis of 25 patients. Arch Neurol 2008;65(11):1443–8. [59] US Food and Drug Administration. Rituximab (marketed as Rituxan) information [FDA alert]. Rockville, MD: US Food and Drug Administration; 2006. [60] Capobianco M, Malucchi S, Di Sapio A, Gilli F, Sala A, Bottero R, et al. Variable responses to rituximab in neuromyelitis optica (Devic’s disease). Neurol Sci 2007;28:209–11. [61] Bakker J, Metz L. Devic’s neuromyelitis optica treated with intravenous gamma globulin (IVIG). Can J Neurol Sci 2004;31:265–7. [62] Miyamoto K, Kusunoki S. Intermittent plasmapheresis prevents recurrence in neuromyelitis optica. Ther Apher Dial 2009;13:505–8. [63] Bergamaschi R. Glatiramer acetate treatment in Devi’s neuromyelitis optica. Brain 2003;126:e1. [64] Ziemssen TZ, Kumpfel T, Klinkert WEF, Neuhaus O, Hohlfeld R. Glatiramer acetatespecific T-helper 1- and 2-type cell lines produce BDNF: implications for multiple sclerosis therapy. Brain 2002;125:2381–91. [65] Gartzen K, Limmroth V, Putzki N. Relapsing neuromyelitis optica responsive to glatiramer acetate treatment. Eur J Neurol 2007;14:e12–13. [66] Bergamaschi R, Uggetti C, Tonietti S, Egitto MG, Cosi V. A case of relapsing neuromyelitis optica treated with glatiramer acetate. J Neurol 2003;250:359–61. [67] Tanaka M, Tanaka K, Komori M. Interferon-β1b treatment in neuromyelitis optica. Eur Neurol 2009;62:167–70. [68] Shimizu Y, Yokoyama K, Misu T, Takahashi T, Fujihara K, Kikuchi S, et al. Development of extensive brain lesions following interferon beta therapy in relapsing neuromyelitis optica and longitudinally extensive myelitis. J Neurol 2008;255:305–7. [69] Warabi Y, Matsumoto Y, Hayashi H. Interferon beta-1b exacerbates multiple sclerosis with severe optic nerve and spinal cord demyelination. J Neurol Sci 2007;252(1):57–61. [70] Petzold A, Pittock S, Lennon V, Maggiore C, Weinshenker BG, Plant GT. Neuromyelitis optica-IgG (aquaporin-4) autoantibodies in immune mediated optic neuritis. J Neurol Neurosurg Psychiatry 2010;81(1):109–11.
12 Optic Neuritis:
Pathophysiology, Clinical Features, and Management Clare Fraser, Gordon T. Plant The National Hospital for Neurology and Neurosurgery, London, UK Moorfields Eye Hospital, London, UK St Thomas’ Hospital, London, UK Failure of sight limited to one eye, often accompanied by neuralgic pain about the temple and orbit and by pain in moving the eye; many recover but permanent damage and even total blindness may ensue; there is at first little, sometimes no, ophthalmoscopic change, but the disk often becomes more or less atrophic in a few weeks … The defect in vision is often described at first as a “gauze” or a “yellow mist” or a “dark patch” or a “spot” which covers the object looked at and gives an unnatural colour, the hand looking, for example, as if covered by a brown glove. Edward Nettleship, St Thomas’ Hospital, London, 1884 [1]
Introduction In the early medical literature the term “optic neuritis” (ON) was used to describe disk swelling from any cause that included papilledema, for which the most common cause was a brain tumor. Over the first half of the 19th century, Frick described a type of blindness due to “some immediate affection of the optic nerve” and the term “optic neuritis” began to be associated with a discrete disease of the optic nerves [2]. With the advent of the ophthalmoscope in 1851 descriptive accounts of ophthalmic disease were refined. In particular, the 1871 text On the Use of the Ophthalmoscope in Diseases of the Nervous System and of the Kidneys served to further define the clinical features and differential diagnosis of ON [3]. Edward Nettleship published what is described as the most comprehensive early account of ON in English in 1884 [4]. Since then, and despite ongoing advances in neurodiagnostic techniques, the medical history and examination of the afferent visual sensory system described remain at the core of the diagnosis of ON. The annual incidence of ON ranges from 1.4 to 6.4 new cases per 100,000 in a predominantly Caucasian population [5,6]. The incidence of ON is highest in populations located at higher latitudes, in the northern United States and western Europe, and is lowest in regions closer to the equator [7]. In Asian countries, however, the Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00012-5 © 2011 Elsevier Inc. All rights reserved.
254
Neuroinflammation
incidence of ON is much lower, at 0.83 per 100,000, with higher rates of papillitis and lower rates of multiple sclerosis (MS) than reported in the Optic Neuritis Treatment Trial (ONTT) [8]. Patients with ON have a good prognosis, but a minority of patients experience persistent visual loss. Patients with neuromyelitis optica (NMO) generally have a poorer recovery. When ON is associated with other central nervous system (CNS) diseases, the morbidity and mortality of those disorders contribute substantially to the final outcome.
Definition ON is an inflammatory disease of the optic nerve. The inflammation can be due to primary demyelination as part of disease spectrum that includes MS (typical ON) or inflammation and demyelination secondary to other causes (atypical ON). The typical ON cases are usually acute and unilateral and will recover spontaneously. Atypical ON patients require long-term treatment for recovery to be seen and maintained. The term “papillitis” can be used if there is optic disk swelling on clinical examination. Papillitis may be associated with flame-shaped hemorrhages and is the most common type of ON in children. If the optic disk appears normal on examination, then the term “retrobulbar optic neuritis” is used. This is the most frequent type seen in adults. Neuroretinitis is a variant of ON and is usually post-infectious. On examination there is papillitis in conjunction with a macular star composed of hard exudate [9]. In 1894, Eugene Devic described 16 patients with loss of vision in one or both eyes, who subsequently developed spastic weakness of the lower limbs [10]. The term “neuromyelitis optica” is now used in preference to Devic’s disease. NMO is a demyelinating disease that preferentially affects the optic nerves and spinal cord. Optic perineuritis is an uncommon variety of orbital inflammatory disease that involves the optic nerve sheath; most cases are isolated or idiopathic [11]. If an inflammatory lesion affects the optic chiasm, the terms “optic chiasmal neuritis” or “chiasmitis” are used. This is distinguishable from bilateral simultaneous ON by a preferential involvement of the bitemporal visual fields. Chiasmitis can be seen in both MS and NMO [12]. These two conditions will not be discussed further in this chapter. Most ophthalmologists use the term “optic neuritis” to describe idiopathic or demyelinating ON [13].
Pathophysiology Typical ON In cases of both typical MS-associated and isolated ON, the cause is presumed to be an inflammatory autoimmune reaction, resulting in demyelination of the optic nerve. The trigger for these autoimmune mechanisms is uncertain; however, attention is focused on an external factor (such as a virus) initiating events in susceptible individuals.
Optic Neuritis: Pathophysiology, Clinical Features, and Management
255
The disease now known as MS was first described in 1868 by Jean-Martin Charcot as “la sclerose en plaques” [14]. MS is characterized by episodic neurologic dysfunction caused by localized damage to nerve fibers within the brain and spinal cord. A typical MS lesion causes the loss of myelin. This demyelination results in a slowing or complete blockage of the neuronal signals, thus resulting in the neurologic dysfunction. Early in the disease course remyelination occurs, and the neurologic function will often recover to some extent. This phenomenon was thought to be due to the preservation of the nerve fibers themselves. It has now been demonstrated that this process of demyelination causes damage to the underlying nerve axons and ultimately leads to brain atrophy and the accrual of progressive neurologic dysfunction [15]. Once the degenerative process starts, the changes are irreversible, and thus treatment is most effective when started early. The overall risk factors for MS in an individual are also well documented. Caucasians of northern European heritage are the most commonly affected ethnic group, with women 2–3 times more frequently affected than men. Living in a temperate climate causes a higher risk of MS, and those who migrate from a high-risk to a low-risk area after the age of 15 remain at high risk [16]. Several infectious agents have been postulated to be the environmental trigger for MS, with the current leading candidates being Epstein–Barr, herpes VI, and Chlamydia pneumoniae [17]. A recent review article concluded that it appears likely that hypovitaminosis D is one of the risk factors for MS. Vitamin D does significantly influence regulatory T-lymphocyte cells and would seem to have a role in several autoimmune diseases [18]. Other work has highlighted an increasing incidence of MS in previously low-risk areas such as Australia and California. It appears that the increased use of sunscreen, decreased sun exposure, and subsequent reduction in individual vitamin D levels in these areas may be contributing to a rise in the incidence of MS [19]. A genetic predisposition to MS has been identified, although the only significantly associated genotypes are the major histocompatibility complexes (HLA) DR and DQ [20]. On histologic examination of MS patients with ON, the demyelinating lesions along the optic nerve are similar to the MS plaques seen in the brain [21]. There is an inflammatory response marked by perivascular cuffing, T cells, and plasma cells. The key pathologic features are inflammation, demyelination, axonal loss, and gliosis [22]. There are reports that a heterogeneity in demyelinating lesions in the brain may suggest that several different mechanisms may be involved in MS pathogenesis [23]. Others, however, propose that there is a uniform pathogenic mechanism that underlies the formation of new plaques, and that disease evolution accounts for the different lesions described [24]. In general it is thought that T-helper (Th) cells (CD4) are activated in the periphery by an environmental factor and cross the blood–brain or blood–optic nerve barrier. Inside the CNS they encounter neural autoantigens, proliferate, and activate and recruit other inflammatory cells. This results in stimulation of the local immune and parenchymal cells such as microglia and astrocytes to produce pro-inflammatory cytokines. CD8 cells, B cells, and complement are also involved in the neural damage [25,26]. Free radical damage and glutamate excitotoxicity are thought to play an
256
Neuroinflammation
important role in the axonal and myelin damage and have been linked to mitochondrial dysfunction [27]. Another hypothesis challenges this paradigm by suggesting that oligodendrocyte apoptosis is the earliest change in newly forming MS lesions. A subsequent recruitment of the systemic immune response amplifies the tissue injury [28]. The signals for resolution of inflammation are not well known. The final functional recovery is through a combination of the resolution of inflammation, remyelination, and neural plasticity. Modern imaging techniques provide insight into pathologic processes in vivo. The loss of axons, neurons, and myelin can be assessed using quantitative magnetic resonance imaging (MRI) and optical coherence tomography (OCT) techniques [29–31].
Atypical ON Little is known about the pathology of isolated idiopathic ON. A biopsy specimen in one reported patient with isolated ON showed the presence of perivascular lymphocytic infiltration, multifocal demyelination, and reactive astrocytosis in the retrobulbar portion of the optic nerve. Abnormal intrathecal immunoglobulin G (IgG) synthesis, reflected by the presence of oligoclonal bands in the cerebrospinal fluid (CSF), is found in 60–70% of patients with isolated ON, suggesting an immunologic pathophysiology similar to MS [32]. ON can occur as part of a connective tissue disorder such as systemic lupus erythematosus (SLE) or Behçet’s disease [33], as well as sarcoidosis. Features specific to each underlying condition will be present. In patients with known SLE the usual accepted cause for the ON is vasculitis [34], although the optic nerve damage in this case is likely to be ischemic secondary to the vascular pathology. However, it may be that in some cases of SLE there is indeed a true autoimmune ON. Sarcoidosis is a granulomatous inflammatory disease, which on biopsy specimens is non-caseating. The granulomatous tissue can affect the optic nerve sheath or invade the optic nerve directly [35].
Neuromyelitis Optica NMO is a distinct inflammatory demyelinating disease consisting of ON in combination with longitudinally extensive transverse myelitis. Though this is classified as one of the “atypical” ON causes, it will be discussed separately. Patients may also experience a limited form of NMO with isolated recurrent bilateral ON or isolated transverse myelitis episodes; this is considered at one end of the spectrum toward definite NMO. There is no secondary progression, as can be seen in MS. Histopathologic features differ from those of typical ON. Early demyelinating lesions in NMO are associated with perivascular deposition of immunoglobulins, in particular IgM and IgG, local activation of the complement cascade, and a marked eosinophilic infiltrate. This ties in with the immunopathology of NMO being antibody-dependent and complement-mediated with the recruitment and degranulation
Optic Neuritis: Pathophysiology, Clinical Features, and Management
257
of eosinophils. The presence of eosinophils and small numbers of CCR3-positive lymphocytes may indicate the active involvement of a Th-2 T cell. This combination of features is relatively specific for early NMO lesions. There are also accompanying immunopathologic changes in the CNS such as macrophage/microglia activation and axonal damage that are also ubiquitous in forms of MS [36,37]. Compared with MS there is excavation of the affected tissue, the formation of cavities is common, and gliosis is characteristically absent or minimal. On examination of the brain the cerebellum and subcortical cerebral arcuate fibers are rarely affected, whereas in MS these are often severely damaged [27,38]. A significant number of patients (~75%) with NMO have been found to have the presence of a specific serum, NMO-IgG autoantibody, which targets the water channel aquaporin-4 (AQP4) [39]. This is also found in those with bilateral ON alone. AQP4 is the predominant water channel in the human brain and plays a critical role in the regulation of water movement when expressed by astrocytes. It is associated with astrocyte membranes that closely appose endothelial cell basement membranes, which in turn maintain the blood–brain barrier (BBB). Of more relevance to the ON, the AQP4 on fibrous astrocytes might function to spare the optic nerve from volume fluctuation under normal physiologic conditions. The optic nerve is perhaps more sensitive to volume changes induced by AQP4 dysfunction than other areas of the CNS, with resultant ON [40]. The distribution of AQP4 in the CNS is shown in Table 12.1. Higher serum and CSF IL-6 levels are also found in NMO patients compared with other groups. CSF IL-6 levels correlated with anti-AQP4 levels and disease severity in the NMO patients. This suggests that IL-6 is also involved in NMO pathogenesis, presumably via anti-AQP4-associated mechanisms [41]. Pathologic findings of biopsy specimens from the limited form are identical to those of autopsy from the definite form, demonstrating extremely active demyelination and extensive loss of AQP4 immunoreactivity in plaques. Moreover, the definite form displays significantly higher amounts of IL-6 in CSF than the limited form and MS. NMO continuously displays a consistent homogeneity of immune mechanisms through terminal stages, whereas MS should be recognized as a heterogeneous disease that may switch from an inflammatory to a degenerative phase [42]. Table 12.1 The Distribution of AQP4 in the CNS [40] Tissue
Cell Type
Cellular Localization
Gray and white matter Ventricles (not choroid plexus) Pia mater Inner ear Posterior optic nerve Retina
Astrocytes Ependymal cells Meningeal cells Hensen’s cells Astrocytes Muller cell astrocytes
Perivascular end feet Basolateral Not determined Basolateral Perivascular end feet Vitreal end feet Perivascular end feet
258
Neuroinflammation
Generally other autoantibodies are found in the sera of NMO patients but the brain expresses high levels of AQP4, suggesting this to be the pathologic target. The other autoantibodies, including antinuclear antibodies, anti-myelin oligodendrocyte glycoprotein (MOG), and anti-myelin basic protein, most likely represent a response to neo-antigen liberated from dead cells [43]. Also released, due to glial and astrocyte damage, is glial fibrillary acidic protein (GFAP). This is found in higher levels in NMO patients during acute attacks than those with MS. Even in patients who do not have NMO antibodies on current testing, GFAP may be detected in the CSF to assist in diagnosis [44].
Clinical Features Typical ON ON affects otherwise healthy young individuals, usually aged 20–30 years. Women are affected 2–3 times more commonly than men. ON causes a decrease in vision over a 7- to 10-day period and is commonly associated with pain on eye movement [45]. The majority of patients with a painful ON have involvement of the orbital segment of the optic nerve. The absence of pain suggests the ON is limited to the canalicular or intracranial portion of the optic nerve [46]. The features listed in Table 12.2 reflect the “typical” ON presentation. These were the clinical characteristics seen in the 455 patients enrolled in the ONTT between 1988 and 1991 [47]. The clinical data of 110 patients with acute unilateral ON were analyzed and showed that those with MRI lesions consistent with demyelination had a significantly higher incidence of ON in spring months compared with patients with normal MRI scans. The increased incidence of ON in spring months was seen in these patients whether or not they were diagnosed with clinically definite MS on follow-up [48].
Atypical ON Atypical features include severe headache, uveitis, retinal inflammation, failure of vision to improve after 30 days, age over 50 years, and evidence of other systemic conditions. Patients presenting with atypical features should be examined further. Full history and examination should guide further investigations, such as syphilis serology and antinuclear antibodies [47]. The presence of associated polyneuropathies should lead to consideration of Guillain–Barré or Miller–Fisher syndrome [13]. Patients should also be asked about alcohol consumption, smoking, and use of other drugs such as ethambutol, isoniazid, and amiodarone, all of which are known to cause optic neuropathy [45]. The common causes of atypical ON and the mimics of ON are presented in Table 12.3. In children ON may be para-infectious, associated with measles, mumps, chickenpox, or glandular fever or following immunization [52]. In these cases patients usually present 1–3 weeks following the infection with severe, often bilateral, visual loss and papillitis [9]. There are several case reports of ON associated with a pansinusitis [53].
Optic Neuritis: Pathophysiology, Clinical Features, and Management
259
Table 12.2 Clinical Profile of the ONTT Patients [47] Characteristic
Patients
Female
77%
Caucasian
85%
Age (years)
326.7
Ocular pain
92%
Pain worse on eye movement
87%
Optic disk Normal (retrobulbar) Swollen Mild diffuse swelling Mild focal swelling
65% 35% 51% 29%
No retinal or optic disk hemorrhage
84.5%
Normal vitreous
94%
Visual acuity 20/20 or better (6/6) 20/25–20/40 (6/7.5–6/12) 20/50–20/190 (6/15–6/57) 20/200–20/800 (6/60–6/240) Count fingers or hand motions Light perception No perception of light
11% 25% 29% 20% 10% 3% 3%
Visual field defect of affected eye Diffuse Altitudinal, arcuate, nasal step Retrochiasmal Central, cecocentral Chiasmal Other
48% 20% 9% 8% 5% 24%
Abnormal MRI (one or more significant white matter lesions)
49%
In the elderly population other causes of visual loss must be considered before a diagnosis of ON is made. Non-arteritic ischemic optic neuropathy (NAION) may present after the age of 45 with a usually sudden but occasionally progressive, painless visual loss and typically an altitudinal visual field defect. Giant cell arteritis usually presents in those aged 60–80 and is typically associated with scalp tenderness, headache, jaw claudication, polymyalgia rheumatica, and malaise [45]. In a review of 67 cases of neurosarcoid, optic neuropathy was the most common manifestation, typically presenting with optic disk edema and severe visual loss. Of the 14 patients with sarcoid-related optic neuropathy, 8 had optic disk edema, 5 had
260
Neuroinflammation
Table 12.3 Summary of Differential Diagnoses in Atypical ON [49] Types of Pathology that can Mimic Optic Neuritis
Specific Examples
Retinal Disease
Idiopathic big blind spot syndrome Acute zonal occult outer retinopathy Central serous retinopathy
Compressive optic neuropathy
Tumor Idiopathic intracranial hypertension
Toxic optic neuropathy [45]
Alcohol/tobacco amblyopia (vitamin B deficiency) Amiodarone Ethambutol
Genetic disease [50]
Leber hereditary optic neuropathy Autosomal dominant ON (Kjer syndrome) Wolfram syndrome (DIDMOAD diabetes insipidus/mellitus, optic atrophy, deafness)
Infections
Syphilitic ON (primary or secondary) Human immunodeficiency virus (HIV) Cat-scratch (Bartonella henselae) Tuberculosis Post-viral Aspergillus
Inflammatory
Sarcoidosis Systemic lupus erythematosus (SLE) Reiter syndrome
Vasculitis
Giant cell arteritis (temporal arteritis) Polyarteritis nodosa Wegener granulomatosis Churg–Strauss syndrome
Paraneoplastic optic neuropathy [51]
Typically lung cancer, CRMP-5 IgG positive
optic disk pallor, and 1 had an optic disk granuloma. No light perception vision was relatively common and should be considered a red flag for the diagnosis [54]. Neurosyphilis is still a significant medical problem even in developed countries, and syphilitic ocular manifestations are often not diagnosed due to the lack of typical characteristics. ON associated with syphilis can occur in secondary as well as tertiary stages; ocular involvement in syphilitic patients is suggestive of involvement of the CNS and should be considered equivalent to neurosyphilis [55].
Neuromyelitis Optica The association of acute or subacute loss of vision in one eye or both eyes caused by optic neuropathy with a simultaneous or separate attack of transverse or ascending myelopathy is referred to as neuromyelitis optica (or Devic’s disease). Though
Optic Neuritis: Pathophysiology, Clinical Features, and Management
261
Table 12.4 Revised Diagnostic Criteria for NMO [57] Optic neuritis Acute myelitis At least two of three supportive criteria Contiguous spinal cord lesion extending over at least three spinal segments MRI at onset not meeting the diagnostic criteria for MS NMO-IgG seropositive status
one eye is usually affected first, the second may be affected in hours or days. There are case reports of several weeks separating episodes of visual loss. It may be longer between spinal and visual symptoms; up to 10 years has now been reported [56]. The diagnostic criteria for NMO published in 2006 are in Table 12.4 [57]. The patient demographics are usually that of a slightly older group than MS (30 years versus 20 years old). There is an increased female predominance of more than 3:1 reported from samples of diverse racial and regional populations worldwide. The gender distribution appears to be similar in both childhood-onset and adult-onset cases. Female gender is associated with a relapsing course and familial disease, but the influence of gender on disease severity and treatment response is not clear [58]. It is more common in those of African and Asian ethnic backgrounds. Patients will often develop a mild febrile illness several days or weeks before the onset of neurologic deficit. Textbooks report that the vision loss is typically rapid and severe and that pain is felt in only a minority of cases [59]. However, when studied in direct comparison with typical ON, no difference was found in terms of pain and severity of vision loss between the two groups [60]. Visual field loss is typically central, when vision is sufficient to allow for fields to be plotted. The majority of patients have mild disk swelling, though appearances can range from normal to severe swelling with distention of retinal veins. The disease can be monophasic or relapsing, with a high relapse rate in the first 2 years of disease associated with a poor prognosis [61].
Assessment of the Optic Nerve Bedside Tests Reduced visual acuity in the affected eye can be mild to severe (see Table 12.1). In a young person, normal visual acuity is often 6/4.5; thus, vision of 6/6 in the affected eye can be abnormal for that patient. The test for a relative afferent papillary defect (RAPD) is an important bedside test used to determine if decreased vision in a patient is due to an optic nerve problem. Studies suggest that RAPD is mainly related to the integrity of central vision being correlated with a reduction in conventional visual evoked potential (VEP) amplitudes and intraocular mean deviation on Humphrey subjective perimetry in patients with ON [62,63].
262
Neuroinflammation
Loss of color vision can be inherited or acquired. Though there are many causes of acquired loss of color vision, ON causes color vision abnormalities in 88% of affected patients [47]. The ONTT patients showed mixed red-green (RG) and blueyellow (BY) color defects. BY defects tend to be more common in the acute phase of the disease, with slightly more RG defects at 6 months. It was thus concluded that the type of color defect cannot be used in the differential diagnosis of ON [64]. Red desaturation can also be measured using a red test object. Brightness perception can be tested using a penlight. Poor brightness perception is reported in 89% of patients with ON and can be used to follow the course of disease [65,66]. Contrast sensitivity is the ability of the eye to distinguish subtle degrees of contrast. Retinal, optic nerve disease, and clouding of the ocular media can impair this ability. In patients with previous ON but normal visual acuity, contrast sensitivity abnormality rates have been reported to be 99% [67]. Contrast sensitivity is an important measure of vision quality in patients after ON [68].
Visual Field and Perimetric Analysis Visual field testing can be divided into kinetic (i.e., Goldman perimetry) or static (i.e., Humphrey visual fields) testing, which can be manual or automated. Automated perimetry, though lacking in defect shape detail due to the six-degree stimulus area, proves to be more sensitive than kinetic testing in ON. However, the Humphrey visual field (HVF) analyzer sensitivity relies on a cooperative and competent patient, as well as a good technician to monitor the patient; despite this there is still high test–retest variability [69]. Patients with ON involved in the ONTT underwent HVF testing. Initial perimetry revealed that 48% had a diffuse field defect (Figure 12.1), 20% had altitudinal or arcuate defects, and 8% had a centrocecal defect [70]. These results were initially surprising as they went against the previously held belief that ON caused a centrocecal scotoma. However, it is now believed that the central scotoma found by Goldman perimetry represents diffuse suppression of sensitivity within the central 30 degrees of vision [71]. Although patients with ON can present with central visual field loss and sparing of the periphery, it is rare for the peripheral field to be abnormal in the presence of a normal central field [13]. In most cases of ON the recovery can therefore be tracked effectively using automated perimetry of the central visual field.
Visual Evoked Potentials VEPs represent a specific change in ongoing electroencephalographic (EEG) recording due to stimulation of the visual pathway to either a pattern or flash stimulus. Recordings of evoked potentials can be made with the use of electrodes applied to the scalp, with the main signal detected over the occipital cortex. The advent of VEPs in the 1970s first allowed clinicians to assess neural conduction in the optic nerve. Halliday demonstrated that diagnostic confirmation of ON can be made using full-field conventional VEP delays [72–74].
Optic Neuritis: Pathophysiology, Clinical Features, and Management
263
Figure 12.1 Humphrey Visual Field analysis; gray-scale map of a patient with ON showing diffuse loss of sensitivity with a dense central scotoma.
ON can cause a loss of VEP signal amplitude as well as a delay in the signal. A loss of signal amplitude is also seen in compressive lesions of the optic nerve and latency delay is found in Parkinson’s disease and migraineurs. Overall the VEP has been shown to be very sensitive in these conditions; however, it is a nonspecific diagnostic tool [75].
Optical Coherence Tomography OCT is an attractive imaging technique because it permits the imaging of tissue microstructure in situ, yielding micron-scale image resolution without the need for excision of a specimen and tissue processing. OCT enables repeated imaging studies to be performed on the same patient to track changes. OCT is analogous to ultrasound B-mode imaging except that it uses low-coherence light rather than sound and performs cross-sectional imaging by measuring the backscattered intensity of light from structures in tissue [76]. OCT can measure in vivo axonal loss due to ON. As the retinal nerve fiber layer (RNFL) contains ganglion cell axons that are unmyelinated (in the vast majority of cases), the thickness measurements represent only axonal density, not myelin sheath changes. Evidence of RNFL thinning can be observed with OCT within 3–6 months following the onset of ON. Patients with marked loss of RNFL had a poorer visual outcome, with limited visual improvement [77,78].
264
Neuroinflammation
Some studies have shown a difference in the RNFL measurements between typical ON and NMO. NMO is associated with a thinner overall average RNFL compared to MS, with particular involvement of the superior and inferior quadrants. This suggests that NMO is associated with more widespread axonal injury in the affected optic nerves. OCT can help distinguish the etiology of these two causes of ON and may be useful as a surrogate marker of axonal involvement in demyelinating disease [79].
Magnetic Resonance Imaging The quality of MRI of the optic nerve has lagged behind imaging of other parts of the CNS, partly due to technical challenges related to the small size and mobility of the optic nerves. In one study MRI was able to detect abnormalities in the ON of only 80% of acute cases [80]. Artifacts caused by surrounding CSF, orbital fat, and air–bone interfaces further complicate image acquisition. Progress has been made, however, with regard to detecting optic nerve atrophy following ON, the use of fatand CSF-suppressed high-resolution imaging, and the emergence of SPIR–FLAIR for increasing sensitivity to inflammatory demyelination [81]. Magnetization transfer ratio (MTR) imaging is a quantitative MRI technique that provides information about tissue integrity in vivo, including myelin and axonal content. MTR has been shown to be reduced in ON compared to both clinically unaffected nerves from patients and control nerves. The MTR correlates with both VEP latency (myelin integrity) and OCT measures of axonal loss and thus does not distinguish the relative contributions of demyelination and axonal loss in ON [82].
Prognosis Typical ON The course of visual recovery in typical ON is often rapid regardless of treatment, with improvement noticeable within the first 2 weeks in most patients and much of the recovery occurring by the end of 1 month [13]. Over 75% of patients recover to normal vision within 6 months [83]. If recovery of vision is incomplete at 6 months, some further improvement may continue for up to 1 year. Ten years after ON in the ONTT, 70% of patients had 20/20 acuity in both eyes and 86% had 20/20 vision in one eye. Relapses of ON within this time did not appear to cause a major loss of visual function [84]. However, patients may complain of residual deficits in color vision, stereopsis, and light brightness perception, despite the apparent normalization of distance vision [85]. The only predictor of poor visual outcome found in the ONTT was poor visual acuity at the time of entry to the study. However, of the patients with visual acuity of light perception (LP) and non-perception of light (NPL), 67% recovered to a final visual acuity of 20/40 or better. Older age at onset was statistically associated with a slightly worse visual outcome [84].
Optic Neuritis: Pathophysiology, Clinical Features, and Management
265
Recent studies have shown that early neuroplasticity in higher visual areas, as detected by fMRI activation of the lateral occipital complex at the onset of ON, appears to be an important determinant of recovery from ON. This was independent of tissue damage in the anterior or posterior visual pathway, including neuroaxonal loss (as measured by MRI, VEP, and OCT) and demyelination (as measured by VEP) [86].
Association with MS The incidence of ON in the United States is 3 per 100,000 people [87]. Despite this relatively low incidence and the fact that vision recovers in the majority of patients, ON is still of great significance due to its association with MS [88,89]. The risk for developing MS following ON is quite variable within the literature, reflecting differences in the populations studied; however, the majority of studies indicate a 25–35% risk [90]. In fact the most common cause of visual loss in MS patients is ON, with 90% of MS sufferers experiencing some form of ON during the course of their disease [91]. Following the release of the 10-year data from ONTT, it is now known that a single MRI white matter lesion in the brain of at least 3 mm increases the risk of future MS. In ON patients with a normal brain scan, the absence of pain on eye movement, no perception of light vision, severe optic disk swelling, hemorrhages, and exudates is associated with a low risk of future MS [92]. MRI studies show that periventricular and gadolinium-enhancing lesions on baseline scans following ON are independent predictors of clinically definite MS. When reviewing baseline and follow-up scan on the same patients, baseline periventricular and new T2 lesions at follow-up remained significant (hazard ratios 2.4 and 4.9, respectively). The authors concluded that new T2 lesions on an early follow-up scan were the strongest independent predictor of clinically definite MS [93].
Atypical ON Atypical ON is more often associated with poor visual recovery without treatment. One study looked at isolated ON in patients in whom all known causes of an optic neuropathy were excluded (i.e., sarcoid, HIV, syphilis, connective tissue disease). Of the 18 eyes (10 patients), after at least 3 months follow-up, only 33% of eyes reco vered visual acuity of 6/12 or better, with only 16% of eyes recovering color vision of 10/13 or better on Ishihara plate testing. This was despite initial treatment with corticosteroids in all cases [94].
Association with SLE According to case studies, patients with optic neuropathy due to SLE who are treated with steroids alone generally have a poor visual prognosis, with final vision worse than 6/60 [95]. Other observational studies report variable visual prognosis [96]. However, recent studies using alternative immunosuppression have shown excellent visual recovery in up to 50% [97].
266
Neuroinflammation
Association with Sarcoid In patients with sarcoid visual recovery is often poor, and patients require ongoing immunosuppression to maintain vision. Recorded visual acuity at last follow-up visit of 14 sarcoid optic neuropathy patients was improved in 5, was worse in 5, and was stable (i.e., within one Snellen acuity line of baseline) in 4.
Neuromyelitis Optica Some recovery of vision usually occurs within 1–2 weeks after symptom onset. Prognosis is generally poorer than those with typical ON, with some having severe residual visual loss. The same pattern is seen with the paraplegia: most patients recover to some extent and some are left with persistent and complete paralysis. In one study of 13 patients followed for over 8 years, only 23% were able to walk more than 100 m unaided [98,99]. Initial mortality rates were reported at 50%, but with modern treatment this is now 10%. Recurrences can occur in either eye or spinal cord [100]. Patients who have positive NMO-IgG antibodies detected are shown to have a higher Expanded Disability Status Scale (EDSS) score than those who meet the diagnostic criteria for NMO without detectable antibodies [101].
Management Typical ON Investigations A clinical diagnosis can be made in patients with typical features of ON with a high degree of certainty. In these cases ancillary testing is not required. A decision will need to be made as to whether an MRI is warranted in order to stratify future risk for MS. If the patient fails to recover vision as expected, then further investigation is warranted.
Treatment Treatment with corticosteroids in the setting of ON reportedly results in a more rapid recovery of visual function; however, it has also been reported that there was no difference in visual outcome by 6–12 months [102]. The ONTT set out to provide definitive data to evaluate the efficacy of corticosteroid treatment for acute ON. The trial enrolled 457 patients with a RAPD as well as a visual field defect in the affected eye. Other causes for ON were ruled out prior to entry in the study. The patients were randomly assigned to one of three treatments: (1) intravenous (IV) methylprednisolone (250 mg 4 times daily for 3 days) with an 11-day oral steroid taper; (2) oral prednisone (1 mg/kg once daily) for 14 days; (3) oral placebo for 14 days. The study confirmed that IV corticosteroids with an oral taper resulted in an acceleration of visual recovery, but there were no long-term benefits to visual
Optic Neuritis: Pathophysiology, Clinical Features, and Management
267
outcome. Interestingly, it was also found that the first dosing regimen reduced the rates of patient conversion to MS over the first 2 years after ON. However, this effect was not sustained into the third year after diagnosis [90]. A recent Cochrane review on the management of typical ON concluded that there was no evidence that steroid treatment (IV or oral) was of benefit in terms of visual recovery with respect to acuity, field, or contrast sensitivity [103]. The ONTT initially showed an increased relapse rate in patients treated with oral steroids alone, and this has led to reluctance, particularly among ophthalmologists, to use any treatment other than IV methylprednisolone. However, a trial of 60 patients has shown that 500 mg oral methylprednisolone for 5 days with a 10-day oral taper will similarly speed up visual recovery but not alter long-term visual prognosis. In particular, there was no difference in the frequency of subsequent attacks in the treatment versus placebo groups [104]. Pathologic and MRI studies now suggest that axonal damage is an early event in the evolution of MS, and that this is primarily dependent on inflammatory processes [15]. Treatments for MS available include interferon-beta, which has a partly antiinflammatory action. The Controlled High-Risk Subjects Avonex Multiple Sclerosis Prevention Study (CHAMPS) was a randomized, double-blind, placebo-controlled trial in patients who had a first acute demyelinating event (ON, incomplete transverse myelitis, brain stem, or cerebellar syndrome) and evidence of previous subclinical demyelination on MRI. Eligible patients had two or more clinically silent brain lesions of 3 mm or more in diameter on MRI, one of which was ovoid or periventricular. Patients were randomized to receive either 30 μg of intramuscular interferon-beta-1a (Avonex) or placebo weekly. Results indicated that treatment with interferon significantly reduced the risk of developing MS, according to the Poser criteria, by 44% compared with placebo [105]. A more recent analysis of the CHAMPS data found that using more stringent MRI criteria for eligibility, as set out by Barkhof (nine or more white matter lesions with at least one gadolinium-enhancing lesion), treatment with interferon conferred a 66% reduction in risk for MS over 3 years [106]. The more recent Betaferon in Newly Emerging MS for Initial Treatment (BENEFIT) study used interferon-beta-1b in a double-blind, placebo-controlled randomized trial in patients with a first episode suggestive of MS. Patients were followed over time, with conversion to MS defined according to the McDonald criteria. Results showed that the risk of developing MS within a year was reduced by 46% when compared to the placebo group [107]. A review of all available preparations of interferon and the available studies on each concluded that treatment with all interferon-beta products is effective compared to placebo, with a possible advantage to a thrice-weekly dosing regimen rather than weekly [108]. Interferon-beta-1a has been approved for use in Europe and America in patients who have experienced a first clinical episode and have MRI features consistent with MS (ON, incomplete transverse myelitis, brain stem, or cerebellar syndrome), where alternative diagnoses have been excluded and the patient is deemed to be at high risk for developing MS. However, given that there is now a treatment to reduce the risk of
268
Neuroinflammation
MS in patients after ON, the need for objective tests that may reflect a higher risk for progression to MS becomes apparent. Interferon therapy is not without side effects, the most common being flu-like symptoms and depression. Thus, preventive therapy must be guided by this knowledge of which patients are inherently at a higher risk of MS. In patients with known MS, treatment with interferon-beta significantly reduces the annual relapse rate of ON [109].
Atypical ON Investigations Thought should be given to performing a lumbar puncture and additional laboratory tests, including syphilis serology, antinuclear antibodies, and a chest X-ray. Even if a patient cannot fulfill the diagnostic criteria for NMO, testing for NMOIgG in patients with recurrent or severe ON who lack convincing evidence of MS may identify patients who would benefit from immunosuppression rather than MS-directed immunomodulatory therapies [110].
Treatment Any underlying causes should be treated. Prompt diagnosis and early treatment minimizes long-term visual dysfunction [111]. In SLE-related cases IV cyclophosphamide (0.5–1 g/m2) monthly for 6 months seems to be an effective treatment for ON refractory to corticosteroids [97]. Methotrexate is effective as an adjunct to or instead of steroids in patients with sarcoid-related ON [112].
Neuromyelitis Optica Investigations NMO-IgG/APQ4 was found to have a sensitivity of 54% with a specificity of 90% when tested in patients with NMO versus those with MS [113]. Other markers of autoimmunity are often elevated in NMO patients, in the absence of clinical manifestations of their associated conditions. Examples include SLE, Sjögren syndrome, pernicious anemia, and ulcerative colitis [100]. Lumbar puncture and CSF analysis reveal abnormalities in most NMO patients. Pleocytosis of greater than 50 white cells/mm2 rarely occurs in MS, and oligoclonal bands are rarely found [114]. Elevated levels of GFAP are found in the CSF of NMO patients compared to those with MS [115]. As with all types of ON, the optic nerves will show evidence of enhancement on MRI. More specifically, the spinal cord lesions are gadolinium-enhancing and extend through several vertebral segments. In the acute phase there will also be marked swelling of the cord. At onset there are usually no other MRI brain abnormalities. Follow-up studies have shown the presence of small nonspecific lesions
Optic Neuritis: Pathophysiology, Clinical Features, and Management
269
that do not fulfill the Barkhof criteria for diagnosis of MS. In particular, these lesions may be around the hypothalamus, thalamus, fourth ventricle, and cerebral peduncle [116].
Treatment IV corticosteroids are commonly used as first-line therapy due to the severity of attacks as they may increase the speed of visual recovery. The most common protocol calls for daily 1-g methylprednisolone infusions for 5 consecutive days. If the treatment plan will include an immunosuppressive regimen with a delayed onset of action, one should consider following the IV course with daily oral prednisone at a dosage of ~1 mg/kg/day. If clinical symptoms and signs progress during steroid therapy, then evidence supports rescue therapy with plasmapheresis. A total of seven exchanges of ~55 mL/kg each are administered every other day for 14 days [117]. This finding was further supported by a retrospective review in which 6 of 10 NMO patients experienced moderate or marked clinical improvement of myelitis-related symptoms and signs within days after starting plasmapheresis. Earlier initiation of plasmapheresis therapy after attack onset (less than 20 days) predicts a greater likelihood of clinical response compared with delayed therapy. There is no role for plasmapheresis in slowly progressive disease states [118]. It has been shown that early high-dose methylprednisolone is effective at preserving retinal ganglion cell axons and thus improving visual potential [119]. Long-term immunosuppression is directed toward attack prevention with the aim of protecting neurologic function and should be instituted as early in the disease course as possible. This may mean starting treatment when a relapsing course has declared itself (i.e., two or more attacks). However, the detection of NMO antibodies in new-onset patients with longitudinally extensive myelitis appears to portend a high risk of relapse within 1 year [120]. The current standard preventive approach includes azathioprine (2–3 mg/kg daily) in combination with oral prednisone (1 mg/ kg/day). In one report, most patients used maintenance doses of 75–100 mg azathioprine (a low dose) and 10 mg prednisone daily and were attack-free during the 18-month period after therapy initiation [121]. The aim of therapy is to achieve clinical remission using azathioprine and then to slowly taper the daily prednisone dosage over a few months once it is evident that azathioprine is having an immunologic effect (reduced peripheral white blood cell count and elevation in mean cell volume). Some patients may suffer relapses once the prednisone dose is reduced to less than 10 mg/day, and others may show relapses even after adequate treatment. Rituximab (anti-CD-20) therapy was recently reported to inhibit relapses in three patients treated for over 2 years with an interval of about 9 months. One year after therapy, relapses had disappeared in all cases with no adverse effects. However, during long-term rituximab treatment, attention needs to be given to infections such as progressive multifocal leukoencephalopathy [122]. Mycophenolate mofetil has also been reported to reduce the relapse rate, but in this trial with a larger population, side effects of treatment were seen in 25% of patients. A median dose of 2000 mg/day was given for a median duration of treatment of 27 months [123].
270
Neuroinflammation
Interferon-beta is classically used in MS to reduce the relapse rate, but it does not appear to be of benefit in NMO. This is probably due to the different immunopathogenesis between the two diseases [124]. Supportive treatment is required for severe myelitis.
Conclusion ON is a heterogeneous diagnosis, particularly with geographic and ethnic differences. Careful consideration of such factors must be taken into account when making a diagnosis, instituting a treatment regimen, and discussing prognosis. Patients who do not have a “typical” demyelinating ON may have a poor outcome if inappropriate MS treatment regimens are applied. Further work needs to be done to unravel the uncertainties regarding whether opticospinal MS is a separate entity from NMO. There is also much scope for future research in finding more effective MS treatments.
References [1] Nettleship E. On cases of retro-ocular neuritis. Trans Ophthal Soc UK 1884;4:186–226. [2] Frick, G, A treatise on the diseases of the eye including the doctrines and practice of the most eminent modern surgeons and particularly those of professor Beer. Batimore: Fielding Lucar; 1823. [3] Allbutt T. On the use of the ophthalmoscope in diseases of the nervous system and of the kidneys. London: Macmillan; 1871. [4] Pearce JM. Early observations on optic neuritis and Uhthoff’s sign. Eur J Neurol 2010;63(4):243–7. [5] Brewis M, Poskanzer D, Rolland C. Neurological disease in an English city. Acta Neurol Scand 1965;42:1. [6] Graham K, Rizzo JF. A review of optic neuritis. Digit J Ophthalmol 1997 [7] Taylor B, Lucas R, Dear K, Kilpatrik T, Pender M, Valery P, et al. Latitudinal variation in incidence and type of first central nervous system demyelinating events. Mult Scler 2010;16(6):398–405. [8] Lim SA, Goh KY, Tow S, Fu E, Wong TY, Seah A, et al. Optic neuritis in Singapore. Singapore Med J 2008;49(9):667–71. [9] Kanski J. Clinical ophthalmology, 4th ed. Oxford: Butterworth Heinemann; 2000. [10] Murray T. Multiple sclerosis: the history of a disease. New York: Demos Medical Publishing; 2005. [11] Purvin V, Kawasaki A, Jacobson DM. Optic perineuritis—clinical and radiographic features. Arch Ophthalmol 2001;119:1299–306. [12] Newman NJ, Lessell S, Winterkorn JM. Optic chiasmal neuritis. Neurology 1991;41(8):1203–10. [13] Lee A, Brazis P. Clinical pathways in neuro-ophthalmology: an evidence based approach, 2nd ed. New York: Thieme; 2003. [14] Charcot J. Histologie de la sclerose en plaque. Gazette des Hospitaux 1868;41:554–66. [15] Trapp B, Ransohoff R, Rudick R. Axonal pathology in multiple sclerosis: relationship to neurological disability. Curr Opin Neurol Neurosurg 1999;12:295–302.
Optic Neuritis: Pathophysiology, Clinical Features, and Management
271
[16] Burks J. Interferon-beta 1b for multiple sclerosis. Exp Rev Neurother 2005;5(2):153–64. [17] Ponsonby A. Exposure to infant siblings during early life and risk of multiple sclerosis. JAMA 2005;293(4):463–9. [18] Pierrot-Deseilligny C, Souberbielle J. Is hypovitaminosis D one of the environmental risk factors for multiple sclerosis? Brain 2010;133(7):1869–88. [19] Munger K. Vitamin D intake and incidence of multiple sclerosis. Neurology 2004;62(1):60–5. [20] Godde R, Rohde K, Becker C, Toliat M, Entz P. Association of the HLA region with multiple sclerosis as confirmed by a genome screen using >10000 SNPs on DNA chips. J Mol Med 2005;83(6):486–94. [21] Toussaint D, Perier O, Verstappen A, Bervoets S. Clinicopathological study of the visual pathways, eyes and cerebral hemispheres in 32 cases of disseminated sclerosis. J Clin Neuroophthalmol 1983;3(3):211–20. [22] Sehu W, Lee WT. Ophthalmic pathology: an illustrated guide for clinicians. BMJ Books; 2005. [23] Pittock S, Lucchinetti C. The pathology of multiple sclerosis: new insights and potential clinical applications. Neurologist 2007;13(2):45–56. [24] Barnett MH, Prineas JW. Relapsing and remitting multiple sclerosis: pathology of the newly forming lesion. Ann Neurol 2004;55(4):458–68. [25] Hemmer B, Cepok S, Nessler S, Sommer N. Pathogenesis of multiple sclerosis: an update on immunology. Curr Opin Neurol 2002;15(3):227–31. [26] Hemmer B, Cepok S, Zhou D, Sommer N. Multiple sclerosis—a coordinated immune attack across the blood brain barrier. Curr Neurovasc Res 2004;1(2):141–50. [27] Lau A, Tymianski M. Glutamate receptors, neurotoxicity and neurodegeneration. Pflugers Arch 2010;460(2):525–42. [28] Barnett MH, Sutton I. The pathology of multiple sclerosis: a paradigm shift. Curr Opin Neurol 2006;19:242–7. [29] Traboulsee A, Dehmeshki J, Brex PA, Dalton CM, Chard D, Barker GJ, et al. Normalappearing brain tissue MTR histograms in clinically isolated syndromes suggestive of MS. Neurology 2002;59(1):126–8. [30] Klistorner A, Arvind H, Nguyen T, Garrick R, Paine M, Graham S, et al. Multifocal VEP and OCT in optic neuritis: a topographical study of the structure-function relationship. Doc Ophthalmol 2009;118(2):129–37. [31] Jindhara P, Hedges TR, Carlos EM, Plant G. Optical coherence tomography of the retina: applications in neurology. Curr Opin Neurology 2010;23:16–23. [32] Ergene, E and M Machens. Optic neuritis, adult. eMedicine [cited April 8, 2010], Available from: ; 2009. [33] Nakamura T, Takahashi K, Kishi S. Optic nerve involvement in neuro-Behcet’s disease. Jpn J Ophthalmol 2002;46(1):100–2. [34] Mavrikakis M, Anastasiou-Nana M, Kalaitzidou C, Papageorgiou C. Optic neuritis and Jaccoud’s syndrome in a patient with systemic lupus erythematosus. Scand J Rheumatol 1983;12(4):367–8. [35] Bode M, Tikkakoski T, Tuisku S, Kronqvist E, Tuominen H. Isolated neurosarcoidosis: MR findings and pathological correlation. Acta Radiol 2001;42(6):563–7. [36] Gold R, Linnington C. Devic’s disease: bridging the gap between laboratory and clinic. Brain 2002;125(7):1425–7. [37] Lucchinetti CF, Mandler RN, McGavern D, Bruck W, Gleich G, Ransohoff RM, et al. A role for humoral mechanisms in the pathogenesis of Devic’s neuromyelitis optica. Brain 2002;125(Pt 7):1450–61.
272
Neuroinflammation
[38] Misu T. [Pathology of neuromyelitis optica]. Rinsho Shinkeigaku 2009;49(11):896–9. [39] Jarius S, Probst C, Borowski K, Franciotta D, Wildemann B, Stoecker W, et al. Standardised method for the detection of antibodies to aquaporin-4 based on a highly sensitive immunofluorescence assay employing recombinant target antigen. J Neurol Sci 2010;291(1-2):56–65. [40] Graber DJ, Levy M, Kerr D, Wade WF. Neuromyelitis optica pathogenesis and aquaporin 4. J Neuroinflammation 2008;5:22. [41] Icoz S, Tuzun E, Kurtuncu M, Durmus H, Mutlu M, Eraksoy M, et al. Enhanced IL-6 production in aquaporin-4 antibody positive neuromyelitis optica patients. Int J Neurosci 2010;120(1):71–5. [42] Yanagawa K, Kawachi I, Toyoshima Y, Yokoseki A, Arakawa M, Hasegawa A, et al. Pathologic and immunologic profiles of a limited form of neuromyelitis optica with myelitis. Neurology 2009;73(20):1628–37. [43] Haase CG, Schmidt S. Detection of brain-specific autoantibodies to myelin oligodendrocyte glycoprotein, S100beta and myelin basic protein in patients with Devic’s neuromyelitis optica. Neurosci Lett 2001;307(2):131–3. [44] Misu T, Takano R, Fujihara K, Takahashi T, Sato S, Itoyama Y. Marked increase in cerebrospinal fluid glial fibrillar acidic protein in neuromyelitis optica: an astrocytic damage marker. J Neurol Neurosurg Psychiatry 2009;80(5):575–7. [45] Newman N. Optic neuropathy. Neurology 1996;46(2):315–22. [46] Kupersmith MJ, Fazzoni H, Lefton D. Localization of the pain with optic neuritis. Colorado, USA: North American Neuro-ophthalmology Society; 2005. [47] ONTT G. The clinical profile of optic neuritis: experience of the Optic Neuritis Treatment Trial. Arch Ophthalmol 1991;109:1673–8. [48] Balashov KE, Pal G, Rosenberg ML. Optic neuritis incidence is increased in spring months in patients with asymptomatic demyelinating lesions. Mult Scler 2010;16(2):252–4. [49] Frohman L. Atypical optic neuritis and mimics of typical optic neuritis. In American Academy of Ophthalmology, sub-specialty day2005. Chicago, IL [50] Newman N, Biousse V. Hereditary optic neuropathies. Eye 2004;18:1144–60. [51] Cross S, Salomao D, Parisi J, Kryzer T, Bradley E, Lennon V. Paraneoplastic autoimmune optic neuritis with retinitis defined by CRMP-5-IgG. Ann Neurol 2003;54(1):38–50. [52] Erguven M, Guven S, Akyuz U, Bilgic O, Laloglu F. Optic neuritis following hepatitis B vaccination in a 9-year-old girl. J Chin Med Assoc 2009;72(11):594–7. [53] Bashkaran K, Shatriah I, Zunaina E, Bakiah S, Sakinah Z. Pansinusitis causing bilateral optic neuritis in a 9-year-old child. Orbit 2009;28(6):377–9. [54] Koczman J, Rouleau J, Gaunt M, Kardon RH, Wall M, Lee A. Neuro-ophthalmic sarcoidosis: the University of Iowa experience. Semin Ophthalmol 2008;23(3):157–68. [55] Bandettini di Poggio M, Primavera A, Capello E, Bandini F, Mazzarello G, Viscoli C, et al. A case of secondary syphilis presenting as optic neuritis. Neurol Sci 2010;31(3):365–7. [56] Deral-Stephant V, Roux-Lelievre C, Vignal R, Stephant E, Faivre A, Alla P. [Devic’s neuromyelitis optica: diagnosis after 10 years of bilateral severe relapsing optic neuritis]. J Fr Ophtalmol 2008;31(7):705–9. [57] Wingerchuk DM, Lennon VA, Pittock SJ, Lucchinetti CF, Weinshenker BG. Revised diagnostic criteria for neuromyelitis optica. Neurology 2006;66(10):1485–9. [58] Wingerchuk DM. Neuromyelitis optica: effect of gender. J Neurol Sci 2009;286(1–2): 18–23. [59] Smith C. Optic neuritis. In: Miller N, Newman NJ, Biousse V, Kerrison. J, editors. Walsh and Hoyt’s clinical neuro-ophthalmology: the essentials. 2nd ed. Philadelphia: Lippincott Williams and Wilkins; 2005. p. 293–347.
Optic Neuritis: Pathophysiology, Clinical Features, and Management
273
[60] Wingerchuk DM, Lennon VA, Lucchinetti CF, Pittock SJ, Weinshenker BG. The spectrum of neuromyelitis optica. Lancet Neurol 2007;6(9):805–15. [61] Bergamaschi R, Ghezzi A. Devic’s neuromyelitis optica: clinical features and prognostic factors. Neurol Sci 2004;25(Suppl. 4):S364–7. [62] Nagashima Y, Kato M, Watanabe I. [Visual evoked potential and relative afferent pupillary defect in patients with unilateral optic neuritis]. Nippon Ganka Gakkai Zasshi 1991;95(10):1004–8. [63] Bobak P, Goodwin J, Guevara R, Arya A, Grover S. Predictors of visual acuity and the relative afferent pupillary defect in optic neuropathy. Doc Ophthalmol 1998–1999;97(1):81–95. [64] Schneck M, Haegerstrom-Portnoy G. Colour vision defect type and spatial vision in the optic neuritis treatment trial. Invest Ophthalmol Vis Sci 1997;38(11):2278–89. [65] Fleishman J, Beck R, Linares O, Klein J. Deficits in visual function after resolution of optic neuritis. Ophthalmology 1987;94(8):1029–35. [66] Sadun A, Lessell S. Brightness-sense and optic nerve disease. Arch Ophthalmol 1985;103(1):39–43. [67] Balcer L, Baier M, Pelak V. New low-contrast vision charts: reliability and test characteristics in patients with multiple sclerosis. Mult Scler 2000;6:163–7. [68] Sun TS, Wei SH. [Preliminary report of contrast sensitivity in idiopathic optic neuritis patients after recovery]. Zhonghua Yan Ke Za Zhi 2009;45(12):1068–73. [69] Anderson D. Standard perimetry. Ophthalmol Clin N Am 2003;16(2):205–12. [70] Fang J, Donahue S, Lin R. Global visual field involvement in acute unilateral optic neuritis. Am J Ophthalmol 1999;128(5):554–65. [71] Arnold A. Visual field defects in the optic neuritis treatment trial: central vs peripheral, focal vs global. Am J Ophthalmol 1999;128:632–4. [72] Halliday AM, McDonald W, Mushin J. Visual evoked response in the diagnosis of multiple sclerosis. Br Med J 1973;1:661–4. [73] Halliday AM, MacDonald W, Mushin J. Delayed visual evoked response in optic neuritis. Lancet 1972:982–5. [74] Frederiksen JL, Petrera J. Serial visual evoked potentials in 90 untreated patients with acute optic neuritis. Surv Ophthalmol 1999;44(Suppl. 1):S54–62. [75] Cohen SN, Syndulko K, Tourtellotte WW. Clinical applications of visual evoked potentials in neurology. Bull Los Angeles Neurol Soc 1982;47:13–29. [76] Huang D, Swanson E, Lin C, Schuman J, Stinson W, Chang W, et al. Optical coherence tomography. Science 1991;254(5035):1178–81. [77] Costello F, Coupland S, Hodge W, Lorello GR, Koroluk J, Pan YI, et al. Quantifying axonal loss after optic neuritis with optical coherence tomography. Ann Neurol 2006;59(6):963–9. [78] Costello F, Hodge W, Pan YI, Eggenberger E, Coupland S, Kardon RH. Tracking retinal nerve fiber layer loss after optic neuritis: a prospective study using optical coherence tomography. Mult Scler 2008;14(7):893–905. [79] Naismith RT, Tutlam NT, Xu J, Klawiter EC, Shepherd J, Trinkaus K, et al. Optical coherence tomography differs in neuromyelitis optica compared with multiple sclerosis. Neurology 2009;72(12):1077–82. [80] Lim SA, Sitoh YY, Chng SM, Boey PY, Goh KY. Magnetic resonance imaging in acute optic neuritis in Singapore. Ann Acad Med Singapore 2009;38(9):821–6. [81] Hickman SJ. Optic nerve imaging in multiple sclerosis. J Neuroimaging 2007;17 (Suppl. 1):42S–5S. [82] Trip SA, Schlottmann PG, Jones SJ, Li WY, Garway-Heath DF, Thompson AJ, et al. Optic nerve magnetization transfer imaging and measures of axonal loss and demyelination in optic neuritis. Mult Scler 2007;13(7):875–9.
274
Neuroinflammation
[83] Keltner J, Johnson C, Spurr J, Beck R. Visual field profile of optic neuritis: one year follow-up in the optic neuritis treatment trial. Arch Ophthalmol 1994;112:946–52. [84] ONTT G. Visual function more than 10 years after optic neuritis: experience of the Optic Neuritis Treatment Trial. Am J Ophthalmol 2004;137:77–83. [85] Frederiksen JL, Sorensen TL, Sellebjerg FT. Residual symptoms and signs after untreated acute optic neuritis. A one-year follow-up. Acta Ophthalmol Scand 1997;75(5): 544–7. [86] Jenkins TM, Toosy AT, Ciccarelli O, Miszkiel KA, Wheeler-Kingshott CA, Henderson AP, et al. Neuroplasticity predicts outcome of optic neuritis independent of tissue damage. Ann Neurol 2010;67(1):99–113. [87] Turbin R, Nilay S, Cadavid D, Frohman L, Cook S. Contemporary imaging of multiple sclerosis using triple-dose and 3.0T: preliminary safety data from the “BECOME” study. NANOS Proc 2005;1:168. [88] Ghezzi A, Martinelli V, Torri V, Zaffaroni M, Rodegher M, Comi G, et al. Longterm follow-up of isolated optic neuritis: the risk of developing multiple sclerosis, its outcome, and the prognostic role of paraclinical tests. J Neurol 1999;246(9): 770–5. [89] Hickman SJ, Toosy AT, Miszkiel KA, Jones SJ, Altmann DR, MacManus DG, et al. Visual recovery following acute optic neuritis—a clinical, electrophysiological and magnetic resonance imaging study. J Neurol 2004;251(8):996–1005. [90] ONTT G. The 5 year risk of MS after optic neuritis: the experience of the Optic Neuritis Treatment Trial. Neurology 1997;49:1404–13. [91] Jacobs D, Galetta S. Multiple sclerosis and the visual system. Ophthalmol Clin N Am 2004;17:256–73. [92] ONTT G. High- and low-risk profiles for the development of multiple sclerosis within 10 years after optic neuritis: experience of the optic neuritis treatment trial. Arch Ophthalmol 2004;121(7):944–9. [93] Swanton JK, Fernando KT, Dalton CM, Miszkiel KA, Altmann DR, Plant GT, et al. Early MRI in optic neuritis: the risk for clinically definite multiple sclerosis. Mult Scler 2010;16(2):156–65. [94] Pokroy R, Modi G, Saffer D. Optic neuritis in an urban black African community. Eye 2001;15(Pt 4):469–73. [95] Rosenbaum J, Simpson J, Neuwelt C. Successful treatment of optic neuropathy in association with systemic lupus erythematosis using intravenous cyclophosphamide. Br J Ophthalmol 1997;81(2):130–2. [96] Lin Y, Wang A, Yen M. Systemic lupus erythematosis-associated optic neuritis: clinical experience and literature review. Acta Ophthalmol 2009;87(2):204–10. [97] Galindo-Rodriguez G, Avina-Zubieta JA, Pizarro S, Diaz de Leon V, Saucedo N, Fuentes M, et al. Cyclophosphamide pulse therapy in optic neuritis due to systemic lupus erythematosus: an open trial. Am J Med 1999;106(1):65–9. [98] Hickman SI, Jay W, Ko M, Chaudhry F, Plant G. Optic neuritis: an update typical and atypical optic neuritis. Neuroophthalmology 2008;32:237–48. [99] de Seze J, Stojkovic T, Ferriby D, Gauvrit JY, Montagne C, Mounier-Vehier F, et al. Devic’s neuromyelitis optica: clinical, laboratory, MRI and outcome profile. J Neurol Sci 2002;197(1-2):57–61. [100] Wingerchuk DM, Weinshenker BG. Neuromyelitis optica: clinical predictors of a relapsing course and survival. Neurology 2003;60(5):848–53. [101] Robinson-Agramonte MA, Goncalves CA, Portela VL, Saiz-Hinarejos A, Oses PJ, Motta SL, et al. Differential regulation of IgG-NMO autoantibodies on S100beta
Optic Neuritis: Pathophysiology, Clinical Features, and Management
[102] [103] [104]
[105]
[106]
[107]
[108] [109]
[110]
[111] [112] [113]
[114] [115]
[116]
[117]
[118] [119]
275
protein and disability in relapsing neuromyelitis optica. Neuroimmunomodulation 2010;17(3):177–9. Gould E, Bird A, Leaver P, McDonald WI. Treatment of optic neuritis by retrobulbar injection of triamcinolone. Br Med J 1977;11(1):1495–7. Vedula SS, Brodney-Folse S, Gal RL, Beck R. Corticosteroids for treating optic neuritis. Cochrane Database Syst Rev 2007(1) CD001430. Sellebjerg F, Nielsen HS, Frederiksen JL, Olesen J. A randomized, controlled trial of oral high-dose methylprednisolone in acute optic neuritis. Neurology 1999;52(7): 1479–84. Jacobs L, Beck R, Simon J, Kinkel R, Brownscheidle C, Murray T, et al. Intramuscular interferon-beta-1a therapy initiated during a first demyelinating event in multiple sclerosis. N Engl J Med 2000;343:898–904. O’Connor P. The effects of intramuscular interferon-beta-1a in patients at high risk for development of multiple sclerosis: a post hoc analysis of data from CHAMPS. Clin Ther 2003;25(11):2865–74. BENEFIT. Betaferon in newly emerging multiple sclerosis for initial treatment (BENEFIT): magnetic resonance imaging outcomes. In: ECTRIMS/ACTRIMS. Thessalonika, Greece; 2005. Francis G. Benefit-risk assessment of interferon-beta therapy for relapsing multiple sclerosis. Expert Opin Drug Saf 2004;3(4):289–303. Chen YM, Yang CC, Wang IH, Hu FR, Jou JR. The effect of interferon beta-1a on optic neuritis relapse in patients with multiple sclerosis. Graefes Arch Clin Exp Ophthalmol 2010;248(2):231–5. Petzold A, Pittock S, Lennon V, Maggiore C, Weinshenker BG, Plant GT. Neuromyelitis optica-IgG (aquaporin-4) autoantibodies in immune mediated optic neuritis. J Neurol Neurosurg Psychiatry 2010;81(1):109–11. Lin YC, Wang AG, Yen MY. Systemic lupus erythematosus-associated optic neuritis: clinical experience and literature review. Acta Ophthalmol 2009;87(2):204–10. Maust H, Foroozan R, Sergott R, Niazi S, Weibel S, Savino PJ. Use of methotrexate in sarcoid associated optic neuropathy. Ophthalmology 2003;110(3):559–63. Marignier R, De Seze J, Vukusic S, Durand-Dubief F, Zephir H, Vermersch P, et al. NMO-IgG and Devic’s neuromyelitis optica: a French experience. Mult Scler 2008;14(4):440–5. Wingerchuk DM, Hogancamp WF, O’Brien PC, Weinshenker BG. The clinical course of neuromyelitis optica (Devic’s syndrome). Neurology 1999;53(5):1107–14. Takano R, Misu T, Takahashi T, Izumiyama M, Fujihara K, Itoyama Y. A prominent elevation of glial fibrillary acidic protein in the cerebrospinal fluid during relapse in neuromyelitis optica. Tohoku J Exp Med 2008;215(1):55–9. Pittock SJ, Weinshenker BG, Lucchinetti CF, Wingerchuk DM, Corboy JR, Lennon VA. Neuromyelitis optica brain lesions localized at sites of high aquaporin 4 expression. Arch Neurol 2006;63(7):964–8. Weinshenker B, O’Brien P, Petterson TM. A randomised trial of plasma exchange in acute central nervous system inflammatory demyelinating disease. Ann Neurol 1999; 46:878–86. Keegan BM, Noseworthy JH. Multiple sclerosis. Annu Rev Med 2002;53:285–302. Nakamura M, Nakazawa T, Doi H, Hariya T, Omodaka K, Misu T, et al. Early highdose intravenous methylprednisolone is effective in preserving retinal nerve fiber layer thickness in patients with neuromyelitis optica. Graefes Arch Clin Exp Ophthalmol 2010 [Epub ahead of print].
276
Neuroinflammation
[120] Weinshenker BG, Wingerchuk DM, Vukusic S, Linbo L, Pittock SJ, Lucchinetti CF, et al. Neuromyelitis optica IgG predicts relapse after longitudinally extensive transverse myelitis. Ann Neurol 2006;59(3):566–9. [121] Mandler RN, Ahmed W, Dencoff JE. Devic’s neuromyelitis optica: a prospective study of seven patients treated with prednisone and azathioprine. Neurology 1998;51(4):1219–20. [122] Imamura H, Tanaka M, Kitagawa N, Tahara M, Oono M, Tanaka K, et al. [Trial of rituximab in three patients with neuromyelitis optica]. Rinsho Shinkeigaku 2009;49(8):457–62. [123] Jacob A, Matiello M, Weinshenker BG, Wingerchuk DM, Lucchinetti C, Shuster E, et al. Treatment of neuromyelitis optica with mycophenolate mofetil: retrospective analysis of 24 patients. Arch Neurol 2009;66(9):1128–33. [124] Uzawa A, Mori M, Hayakawa S, Masuda S, Kuwabara S. Different responses to interferon beta-1b treatment in patients with neuromyelitis optica and multiple sclerosis. Eur J Neurol 2010 May;17(5):672–6.
13 Ischemic Demyelination Tiffany Chang, Roger E. Kelley Department of Neurology, Tulane University School of Medicine, New Orleans, LA, USA
Introduction The finding of white matter signal changes on magnetic resonance imaging (MRI) brain scan is being increasingly recognized as of potential clinical significance, but the pathogenesis, clinical correlation, and prognostic implications remain ill defined. They are recognized with increasing frequency in patients with risk factors for small vessel occlusive disease, including age, hypertension, and diabetes mellitus. It is not uncommon to see small areas of increased signal intensity in the subcortical white matter of patients with migraine [1] (Figure 13.1). Therefore, the collection of risk factors most commonly associated with small vessel white matter disease includes any disease process that affects the integrity of these small vessels. Although hypertensive microangiopathy is the most commonly cited mechanism, the pathogenesis appears to be related to genetic factors, endothelial dysfunction, and/or low levels
Figure 13.1 A woman in her 30s with recurrent vascular-type headache, compatible with common migraine, who demonstrates areas of increased signal intensity on FLAIR sequence of MRI. Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00013-7 © 2011 Elsevier Inc. All rights reserved.
278
Neuroinflammation
Table 13.1 Clinical Conditions Associated with Ischemic Demyelination 1. 2. 3. 4. 5.
Small vessel cerebrovascular disease, including Binswanger’s disease CADASIL Migraine Neurodegenerative disease, including Alzheimer’s disease Nonspecific aging changes in the elderly not associated with hypertension or other potential cause of microangiopathy 6. Possible relationship with cerebral amyloid angiopathy
of free radical scavengers [2]. The potential clinical conditions associated with ischemic demyelination are outlined in Table 13.1. Most clinicians view such white matter changes as reflective of a cerebrovascular process. There appears to be an ongoing predisposition over time based upon serial studies. However, it is not uncommon at all to see a clinical and imaging picture that can mimic multiple sclerosis [2]. The most common clinical correlate appears to be lacunar stroke. This fits in effectively with the effects of lipohyalinosis on small penetrating arteries in patients with long-standing hypertension from a clinicopathologic standpoint. Therefore, one can assume that the finding of small vessel disease in stroke patients would help to support aggressive attention to any factors that might, theoretically, contribute to the ongoing pathogenesis. One entity that is being increasingly recognized, despite its relative rarity, is cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). This disorder represents the potential for unique insight into small vessel cerebrovascular disease on a clearly genetic basis.
Manifestations of Hypertensive Microangiopathy There is clearly a relationship between white matter hyperintensities on MRI and hypertension. In a longitudinal study of hypertension and the evolution of white matter hyperintensities, there was a definite relationship between severe white matter hyperintensities and the duration of the hypertension [3]. Breteler et al.[4] reported a relationship not only with hypertension, but also with plasma cholesterol, prior myocardial infarction or stroke, factor VIIc activity, and fibrinogen level in subjects 65–74 years. In addition, the white matter changes correlated with cognitive impairment. The most commonly recognized clinical manifestation of small vessel occlusive disease is lacunar stroke. The most common lacunar syndromes include pure motor stroke, pure sensory stroke, sensorimotor stroke, clumsy hand dysarthria, and hemiparesis–hemiataxia. Especially with MRI brain scan, there is often a small (i.e., ,1.5 1.5 cm) area of increased signal intensity in the subcortical region visualized by either T2-weighted or fluid attenuation inversion recovery (FLAIR) imaging (Figure 13.2).
Ischemic Demyelination
279
Figure 13.2 T2-weighted MRI showing bilateral thalamic lacunar-type infarcts (arrows) in a 50-year-old man with long-standing hypertension.
Lacunar stroke is usually associated with good functional recovery after the first event. However, the risk of recurrent stroke can be on the order of 12% per year. This can translate into cumulative neurologic deficit over time, including multi-infarct dementia, pseudobulbar palsy, and bilateral long-tract signs. It is quite possible that most patients who are found incidentally to have white matter lesions have no specific clinical correlate. However, a number of studies have suggested that there is a relationship between cumulative white matter signal abnormalities, as manifested by increased signal intensity on MRI brain scan or white matter hypointensity on computed tomography (CT) brain scan, and cognitive impairment [5]. Of particular note, white matter changes have been observed in patients with pathologically confirmed Alzheimer’s disease [6], and periventricular white matter changes on MRI brain scan predict poor neuropsychological performance in Alzheimer’s disease [7]. This finding underscores the potential to see coexistent neuropathology in the elderly where small vessel cerebrovascular disease can contribute to the severity and progression of the primary dementing process.
CADASIL The characteristics of CADASIL are summarized in Table 13.2. This is a genetically transmitted disorder associated with a mutation in the NOTCH3 gene. The NOTCH3 expression is restricted to smooth muscle cells. The mutation associated with CADASIL results in accumulation of the ectodomain of NOTCH3, specifically the 210-kDa fragment, within the affected cerebral vessel.
280
Neuroinflammation
Table 13.2 Characteristic Features of CADASIL 1. Autosomal dominant inheritance pattern 2. Associated with white matter angiopathy with characteristic distribution of lesions seen on MRI 3. Associated with stroke-like episodes leading to progressive neurologic deficit 4. Associated with migraine-type headaches, which can be the presenting manifestation 5. Associated with dementia as the disease progresses 6. Can be confirmed by either skin biopsy, which demonstrates GOM, or genetic testing which shows a mutation in the NOTCH3 gene
Figure 13.3 Prominent white matter changes in a 36-year-old woman with transient ischemic attacks who was found to have CADASIL, as observed on T2-weighted (A) and FLAIR (B) sequences of MRI.
Pathologically, one typically sees small isolated areas of ischemic change within the periventricular and subcortical white matter. In addition, one can see lacunar-type infarction of the brain stem, thalami, and basal ganglia. The cortex and cerebellum are typically spared. The involvement of the small vessels is characterized by deposition of osmiophilic, granular, electron-dense material (GOM) within the media with secondary vessel thickening. Radiographically, there are punctuated hypointensities on the T1-weighted MRI corresponding to hyperintensities on the T2-weighted and FLAIR MRI (Figure 13.3). It is expected that the MRI brain scan will routinely be abnormal by the age of 35 years, if not sooner. The MRI brain scan can be abnormal by the age of 20 years, and a normal MRI brain scan is not compatible with symptomatic CADASIL.
Ischemic Demyelination
281
One expects to obtain a positive history of similar manifestations in the family of an affected patient in light of the autosomal dominant inheritance pattern of this disorder. However, the patient has been reported with clinical and imaging characteristics of CADASIL, but with de novo mutation of the NOTCH3 gene, specifically of Arg182Cys [8]. This has led to the speculation that CADASIL is more frequent than previously thought. The typical pattern of CADASIL is the development of migraine, which occurs in at least 40–60% of patients by the third and fourth decades. Migraine with aura and complicated migraines are seen more frequently than in the general population. Manifestations of stroke are present in the majority of patients in the fourth and fifth decades, primarily presenting with subcortical syndromes. Cognitive decline, especially executive function impairment, may begin at an early age. Dementia generally develops in the sixth and seventh decades [9], and most patients die from the disease by the seventh decade. Patients can demonstrate a fluctuating pattern, and this pattern, along with MRI findings, can mimic multiple sclerosis. Furthermore, just like with multiple sclerosis, the phenotypic expression can be relatively mild, with little in the way of neurologic deficit. In a study of the natural history of CADASIL [10] based upon pooled data in 105 symptomatic patients, the mean age of onset was 36.7 12.9 years. Stroke or transient ischemic attack was seen as the initial presentation in 43%, with a mean age of 41.2 9.2 years. Migraine was diagnosed in 40%, with a mean age of 28.3 11.7 years. Initial symptoms also included depression in 8.6%, cognitive impairment in 6%, and epilepsy in 3%. Over time, 68% of patients experienced a stroke or transient ischemic attack, and the events were recurrent in roughly 50%. Dementia was diagnosed in 42%, and a total of 6% developed epilepsy over time. During follow-up, 21% of patients died, with a mean age of 54.8 10.6 years. Of the patients who died, all but 13.6% had suffered a stroke or transient ischemic attack and 86% were demented. This study suggested a significantly shortened survival for patients with more severe CADASIL, especially those with stroke and dementia. Of note, hypertension was diagnosed in only 8 of the 105 patients (7.6%). Therefore, coexistent risk factors for small vessel disease do not appear to be an important contributor in most patients with CADASIL. Desmond et al. [11] studied the phenotypic expression in a North American family with an identified family member with CADASIL. They found an array of manifestations in multiple family members, including depression, learning disorders, migraine, and ischemic stroke. The four family members with diffuse white matter disease and lacunar-type infarctions on MRI brain scan, characteristic of CADASIL, were not hypertensive, and a number of other family members had migraine, recurrent stroke, dementia, and/or depression. Severe mood disturbance is observed in up to 20% of patients. The diagnosis was previously based on the clinical manifestations along with a positive family history. A skin biopsy demonstrating GOM can be confirmatory and has a reported sensitivity of 45% and a specificity of 100%. The MRI brain scan has features that help in distinguishing CADASIL from other disorders with white
282
Neuroinflammation
matter signal abnormalities. Moderate or severe involvement of the anterior temporal pole on MRI was associated with a sensitivity of 89% and a specificity of 86%. Involvement of the external capsule was associated with a sensitivity of 93% but with a specificity of only 45% [9]. There is increasing white matter involvement over time, and signal abnormalities can be detected in the presymptomatic phase of the disease. Genetic analysis, which is now commercially available, is confirmatory, and there can be a variety of different point mutations. In a study of 48 families, 73% were in exon 4, 8% in exon 3, and 6% in exons 5 and 6 [9]. Recently, a similar familial syndrome termed pontine autosomal dominant microangiopathy and leukoencephalopathy (PADMAL) has been described [12]. It is not associated with the NOTCH3 mutation and has characteristic MRI findings of infarcts in the pons and subcortical and periventricular white matter, with relative sparing of the temporal lobes. The genetics of this disease has not yet been identified. There is no specific treatment for CADASIL. Antiplatelet therapy with aspirin, clopidogrel, or the combination of aspirin and dipyridamole in extended-release form is often the first choice from an antithrombotic standpoint. Certain patients may ultimately be placed on the anticoagulant warfarin because of recurrent events despite treatment with antiplatelet agents. Some have advocated cholinesterase inhibitors in an effort to augment the cholinergic pathway in patients susceptible to a dementing illness. A randomized controlled trial assessed cognitive outcomes in CADASIL patients treated with donepezil compared with placebo. The study failed to find a significant difference between treatment groups in the primary endpoint, the cognitive subscale of the Alzheimer’s disease assessment scale. However, the donepezil group did show significant improvement on certain executive function tests [13]. Memantine may be considered from a neuroprotective standpoint; it promotes N-methyl-d-aspartate (NMDA) receptor blockage. Other approaches include optimal control of migraine, which can be associated with small vessel ischemic insults and is commonly part of the CADASIL clinical spectrum. One could make the case that perhaps a vasodilator, such as a beta-blocker or a calcium channel blocker, would be the most attractive migraine prophylactic agent. However, it is probably advisable to avoid hypotension in such a clinical setting as this could, theoretically, contribute to the pathogenesis of dementia [14]. Triptan medications are generally avoided. Furthermore, one could perhaps make a stronger case for an angiotensin-converting enzyme (ACE) inhibitor in light of reports on their efficacy in the prevention of recurrent ischemic stroke. In the same vein, one could make the case for statin therapy even if there is no clear-cut hyperlipidemia in light of reports that there may be other protective vascular mechanisms involved. In addition, control of elevated homocysteine levels with vitamin supplementation may have some theoretical benefit. In the North Manhattan Study [15], total homocysteine level was associated with white matter hyperintensity volume. Practical measures such as smoking cessation, a diet and exercise program, optimal diabetic control, and relaxation techniques are to be promoted as a general health approach and are especially pertinent in higher-risk patients such as those with CADASIL. Potential but unproven therapeutic approaches to CADASIL are summarized in Table 13.3.
Ischemic Demyelination
283
Table 13.3 Potential Therapeutic Approaches to CADASIL 1. 2. 3. 4. 5. 6.
Antiplatelet therapy Anticoagulant therapy Migraine therapy Cholinesterase inhibitor therapy NMDA receptor blockade with an agent such as memantine Optimal control of potential risk factors such as hypertension, diabetes mellitus, hyperlipidemia, and hyperhomocysteinemia
Binswanger’s Disease There has been considerable controversy over the term “Binswanger’s disease,” as it is not a particularly well-defined disorder [16]. It has been termed “subcortical arteriosclerotic encephalopathy,” and such a designation tends to emphasize the heterogeneity. It is quite possible that the majority of cases ascribed to Binswanger’s disease actually represent more severe cases of hypertensive microangiopathy or undiagnosed CADASIL. However, one does not always see significant white matter abnormalities in chronic hypertensive patients, and the degree of white matter signal abnormalities does not necessarily correlate with the duration and degree of hypertension. Other pathologic factors might well be at play in certain patients with neurologic deficits and prominent periventricular and centrum semiovale signal abnormalities by MRI brain scan or prominent hypodensity changes in the same regions by CT scan, which has been termed “leukoaraiosis.” Furthermore, it is not uncommon to see little in terms of neurologic deficit clinically in a number of these patients while the MRI brain scan reveals dramatic white matter abnormalities (Figure 13.4). This often leads patients with subtle findings on neurologic examination to be informed by the clinician reviewing the scan that they have had “multiple strokes.” Patients with prominent white matter abnormalities on MRI or CT brain scan often have cognitive difficulty beyond that compatible with age. They also demonstrate more in terms of gait instability than expected for the age-matched populations. Furthermore, it is not uncommon to find subtle long-tract signs with some loss of dexterity, prominent reflexes, and one or both upgoing toes. In addition, one may see so-called cortical release signs such as a snout, suck, grasp, or palmomental reflex. However, the age group most commonly affected by such white matter findings is also susceptible to other relatively frequent afflictions, such as primary neurodegenerative disease and cervical spondylosis with myelopathy. It is not uncommon to see a patient with progressive cognitive deficit and/or gait instability with a combination of cortical atrophy, periventricular and centrum semiovale white matter changes, and prominent ventricles on MRI brain scan (Figure 13.5). The challenge for the clinician, in such a circumstance, is to determine how much the ventricular enlargement (i.e., a possible component of normalpressure hydrocephalus) might be contributing to the neurologic picture. The management of a Binswanger’s-type clinical picture probably calls for aggressive management of risk factors that may be contributing to the pathogenesis.
284
Neuroinflammation
Figure 13.4 A 78-year-old man with concerns about forgetfulness. FLAIR MRI reveals prominent white matter changes despite normal cognitive testing and a normal neurologic evaluation.
Figure 13.5 A 76-year-old woman with cognitive impairment and progressive gait instability. FLAIR MRI demonstrates prominent ventricles with periventricular white matter hyperintensities.
This would include aggressive blood pressure management over time with strict adherence to more recent guidelines for blood pressure management. Specifically, a systolic pressure of roughly 120 mmHg and a diastolic of roughly 80 mmHg would be reasonable target goals. ACE inhibitors might well be the antihypertensive of
Ischemic Demyelination
285
Table 13.4 Management Approaches for the Prevention of Ischemic Demyelination 1. Maintenance of a systolic blood pressure in the 100- to 120-mmHg range and diastolic blood pressure in the 60- to 80-mmHg range 2. Use of an ACE inhibitor 3. Use of statin therapy to promote ideal control of low-density lipoprotein (LDL) and other possible neuroprotective effects 4. Optimal blood sugar control in diabetics 5. Lowering of the homocysteine level with vitamin therapy 6. Use of antiplatelet therapy, when appropriate, such as aspirin, clopidogrel, or the combination of low-dose aspirin and extended-release dipyridamole 7. Potential benefits of certain fruits, grains, and vegetables in the diet 8. Potential benefits of antioxidant vitamin supplementation 9. Effective diet and exercise program with promotion of relaxation techniques
choice, and one could certainly make a case for statin therapy as well. Potential management approaches are summarized in Table 13.4.
White Matter Disease and Cerebral Hemorrhage Underlying small vessel vasculopathy, especially in the setting of hypertension, can be associated with not only infarction, but also intracerebral hemorrhage. Smith et al. [17] reported that lobar hemorrhage was commonly associated with white matter damage and cognitive impairment. In this subset of patients, the authors speculated that possible cerebral amyloid angiopathy played a role in the clinical picture. This might help to explain the observation that leukoaraiosis is associated with an enhanced risk of intracerebral hemorrhage in patients receiving warfarin [18].
Migraine It is now well recognized that one can see white matter signal abnormality in association with migraine in relatively young patients with no other risk factors for ischemic demyelination (see Figure 13.1). This implies the potential for vascular insult, and it is now well recognized that migraine is a not uncommon cause of stroke in the young [19] (Figure 13.6). The finding of such white matter signal abnormalities should draw attention to the potential for cumulative ischemic injury over time as well as possibly identifying patients at enhanced risk for ischemic stroke. The patchy lesions that can be observed in classic migraine, for example, have been termed “microinfarction” [20]. The detection of such MRI findings might well point the clinician toward avoidance of hormonal manipulation in such individuals, especially those with stroke-like symptoms in association with their migraine, those in their 30s and beyond, those who smoke, as well as those with a history or family history of
286
Neuroinflammation
Figure 13.6 A 26-year-old woman with migraine, who developed vertical diplopia and left-sided numbness associated with severe throbbing headache. Right thalamic infarct is demonstrated on T2-weighted axial (A and B) and coronal (C) MRI. Cardiac and hematologic evaluations were normal. Carotid duplex ultrasound and intracranial magnetic resonance angiogram (D) were also normal.
either a well-documented prothrombotic state or a positive family history of earlyonset vascular disease. From a management standpoint, the finding of white matter signal intensity changes by MRI brain scan might well direct the clinician toward either beta-blockers or calcium channel blockers (i.e., vasodilators) for migraine prophylaxis. In addition, there might well be heightened concern in such patients about the use of vasoconstricting agents such as triptans or ergotamines. Furthermore, one must carefully address any additional contributing factors such as hyperlipidemia or a significantly elevated homocysteine level. Such management approaches are summarized in Table 13.5.
Pathogenic Models of Ischemic Demyelination As mentioned previously, the underlying vasculopathy associated with CADASIL involves degradation of vascular smooth muscle cells, deposition of GOM within the basement membrane of these vascular smooth muscle cells, and accumulation of NOTCH3 protein within the cell membrane. Cerebral blood flow studies with positron emission tomography (PET) imaging and MRI have demonstrated an apparent
Ischemic Demyelination
287
Table 13.5 Potential Approaches to the Migraine Patient with the Finding of Ischemic Demyelination 1. 2. 3. 4. 5. 6.
Aggressive prophylaxis against headache Enhanced use of vasodilator such as a beta-blocker or calcium channel blocker Consideration of an antiplatelet agent such as aspirin Avoidance of hormonal manipulation unless necessary Avoidance of vasoconstricting agents such as triptans or ergotamines Enhanced attention to smoking cessation, hypertension control, diabetes control, and lipid control when indicated
component of hypoperfusion contributing to the white matter lesions [21–23]. This could be related to small vessel diameter compromise or possibly to loss of the integrity of the vascular smooth muscle cells. In an experimental model of CADASIL [24], impaired cerebrovascular reactivity was observed. The finding of compromised cerebral autoregulation prompted the authors to speculate that increased resistance or decreased relaxation of involved vessels might be part of an early pathogenic process. In human studies of white matter disease in susceptible individuals, there is evidence of selective hypoperfusion of either subcortical white matter or so-called borderzone territories [25]. However, the susceptibility might be selective, as Gold et al. [26] reported that lacunes affecting the thalamus and basal ganglia correlated with dementia while lacunes involving white matter did not. Lacunar disease in these locations has also been associated with an increased risk of poststroke depression [27]. In terms of the pathogenesis of lacunar stroke, Doubal et al. [28] used fractional analysis of retinal vessels to determine that decreased complexity of vessel branching was associated with lacunar stroke. This was viewed as supportive of a distinct vasculopathy as such a unique vascular pattern identification persisted when the authors corrected for coexistent factors, including hypertension, diabetes mellitus, degree of white matter hyperintensity, and stroke severity. In the general population, the finding of white matter lesions and silent brain infarcts is associated with an increased risk of stroke [29]. Markus et al. [30] looked at markers of endothelial and hemostatic activation in patients enrolled in the Austrian Stroke Prevention Study. They found a relationship between cerebral white matter hyperintensities and endothelial cell activation, but not with coagulation activation. In a recent transcranial Doppler study [31], impaired cerebral perfusion was found to be possibly a significant factor in dementia. It has been recognized for a number of years that there is the potential contribution of a primary neurodegenerative component and vascular compromise component in a relatively large proportion of patients with dementia of the Alzheimer’s type or in the combined entity of Alzheimer’s disease with vascular dementia. Increasing recognition of the potential for vascular compromise to have an impact on the cumulative tissue pathology in the virtual epidemic of Alzheimer’s disease might lead to different approaches to prevention, such as with statin drugs [32].
288
Neuroinflammation
The role of inflammation in cerebral microvascular disease and cognition is also an area of investigation. Using diffusion tensor imaging (DTI), Wersching et al. [33] recently demonstrated an association between high-sensitivity C-reactive protein (hs-CRP) levels and areas of disrupted white matter microstructure not visible on conventional MRI scans. Elevated hs-CRP levels were also associated with cognitive decline in patients with no evidence of stroke. The roles of hs-CRP and other markers of inflammation have yet to be defined clinically in the setting of chronic microvascular disease.
Ischemic Demyelination and Ischemic Stroke Risk Patients with ischemic white matter disease are at enhanced risk for stroke [34]. In addition, white matter hyperintensities on MRI in elderly normal volunteers correlate with subtle cognitive deficit with reduced speed of complex mental processing [35]. Lacunar-type stroke has been reported to have a recurrence rate of up to 12% per year, and one can hypothesize that asymptomatic small vessel disease is presumably associated with at least some heightened risk when compared with an age-matched population without evidence of ischemic demyelination on brain scan. Multiple studies indicate that it is the confluence of the ischemic white matter lesions on MRI brain scan that is associated with the greatest risk for clinically evident ischemic stroke [2]. This confluence of larger white matter abnormalities correlates with the changes described as leukoaraiosis on CT brain scan. The Austrian Stroke Prevention Study addressed the evolution of white matter signal abnormalities on serial MRI brain scan over time [36]. The preliminary study looked at 273 middle-aged and elderly subjects in a community who were free of neuropsychiatric disease on a clinical basis. Over 3 years of follow-up, white matter lesions progressed in 17.9% of subjects, but this change was pronounced in only 8.1%. The 6-year follow-up data [37] on 296 subjects revealed detectable progression in no more than 17.2%. This would appear to indicate a relatively benign course for such patients found incidentally to have white matter lesions. However, roughly two-thirds of a subset of subjects with early confluent white matter lesions, and all of the subjects with clearly defined confluent lesions, had a pronounced increase in lesion volume. In support of this finding, a study of elderly subjects with gait abnormalities revealed an absolute white matter lesion volume increase of 1.1 cm3 over 4 years [38]. In a follow-up report to the Austrian Stroke Prevention Study [39] after 6 years, the median increase in white matter lesion load was 0.2 cm3; the maximum increase observed was 31.4 cm3. Of particular interest, the white matter lesion load correlated with both loss of brain volume and cognitive impairment. However, the correlation between cognitive function and white matter lesion load was no longer significant when the model incorporated tissue loss, suggesting that the resultant tissue loss or cortical atrophy associated with progressive white matter changes was the most important determinant of cognitive decline. This might help to explain the somewhat contradictory reports of association versus no association between white matter lesions and cognitive decline.
Ischemic Demyelination
289
There also appears to be an interaction between ischemic demyelination and stroke outcomes. White matter ischemic disease has been correlated with increased risk of stroke recurrence [40], hemorrhagic transformation after thrombolysis [41], and development of dementia following stroke [42]. The burden of white matter disease may also correlate with functional outcome after stroke. A recent study by Arsava et al. [43] found that patients with a larger volume of leukoaraiosis at the time of stroke had a significantly higher modified Rankin Scale score at 6 months. In the future, these associations may help to guide medical decision making and stratify risk for interventions in the setting of acute ischemic stroke.
References [1] Jamieson DG, Hargreaves R. The role of neuroimaging in headache. J Neuroimaging 2002;12:42. [2] Schmidt R, Scheltens P, Erkinjuntti T, Pantoni L, Markus HS, Wallin A, et al. White matter lesion progression: a surrogate endpoint for trials in cerebral small-vessel disease. Neurology 2004;63:139. [3] Dufouil C, de Kersaint-Gilly A, Besancon V, Levy C, Auffray E, Brunnereau L, et al. Longitudinal study of blood pressure and white matter hyperintensities: the EVA MRI cohort. Neurology 2001;56:921. [4] Breteler MM, van Swieten JC, Bots ML, Grobbee DE, Claus JJ, van den Hout JH, et al. Cerebral white matter lesions, vascular risk factors, and cognitive function in a population-based study: the Rotterdam study. Neurology 1994;44:1246. [5] Longstreth Jr WT, Manolio TA, Arnold A, Burke GL, Bryan N, Jungreis CA, et al. Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study. Stroke 1996;27:1274. [6] Brun A, Englund E. A white matter disorder in dementia of the Alzheimer type: a patho anatomical study. Ann Neurol 1986;19:253. [7] Harrell LE, Duvall E, Folks DG, Duke L, Bartolucci A, Conboy T, et al. The relationship of high-intensity signals on magnetic resonance images to cognitive and psychiatric state in Alzheimer’s disease. Arch Neurol 1991;48:1136. [8] Joutel A, Dodick DD, Parisi JE, Cecillon M, Tournier-Lasserve E, Bousser MG. De novo mutation in the Notch3 gene causing CADASIL. Ann Neurol 2000;47:388. [9] Markus HS, Martin RJ, Simpson MA, Dong YB, Ali N, Crosby AH, et al. Diagnostic strategies in CADASIL. Neurology 2002;59:1134. [10] Desmond DW, Moroney JT, Lynch T, Chan S, Chin SS, Mohr JP. The natural history of CADASIL: a pooled analysis of previously published cases. Stroke 1999;30:1230. [11] Desmond DW, Moroney JT, Lynch T, Chan S, Chin SS, Shungu DC, et al. CADASIL in a North American family: clinical, pathologic, and radiologic findings. Neurology 1998;51:844. [12] Ding XQ, Hagel C, Ringelstein B, Buchheit S, Zeumer H, Kuhlenbaumer G, et al. MRI features of pontine autosomal dominant microangiopathy and leukoencephalopathy (PADMAL). J Neuroimaging 2009;20 [13] Dichgans M, Markus HS, Salloway S, Verkkoniemi A, Moline M, Wang Q, et al. Donepezil in patients with subcortical vascular cognitive impairment: a randomised double-blind trial in CADASIL. Lancet Neurol 2008;7:310–8.
290
Neuroinflammation
[14] Birns J, Markus H, Kalra L. Blood pressure reduction for vascular risk: is there a price to be paid? Stroke 2005;36:1308. [15] Wright CB, Paik MC, Brown TR, Stabler SP, Allen RH, Sacco RL, et al. Total homocysteine is associated with white matter hyperintensity volume: the Northern Manhattan Study. Stroke 2005;36:1207. [16] Kinkel WR, Jacobs L, Polachini I, Bates V, Heffner Jr RR. Subcortical arteriosclerotic encephalopathy (Binswanger’s disease). Computed tomographic, nuclear magnetic resonance, and clinical correlations. Arch Neurol 1985;42:951. [17] Smith EE, Gurol ME, Eng JA, Engel CR, Nguyen TN, Rosand J, et al. White matter lesions, cognition, and recurrent hemorrhage in lobar intracerebral hemorrhage. Neurology 2004;63:1606. [18] Smith EE, Rosand J, Knudsen KA, Hylek EM, Greenberg SM. Leukoaraiosis is associated with warfarin-related hemorrhage following ischemic stroke. Neurol 2002;59:193. [19] Rothrock JF, Walicke P, Swenson MR, Lyden PD, Logan WR. Migrainous stroke. Arch Neurol 1988;45:63. [20] Ferbert A, Busse D, Thron A. Microinfarction in classic migraine? A study with magnetic resonance imaging findings. Stroke 1991;22:1010. [21] Oishi M, Mochizuki Y. Differences in regional cerebral blood flow in two types of leuko-araiosis. J Neurol Sci 1999;164:129. [22] Hatazawa J, Shimosegawa E, Satoh T, Toyoshima H, Okudera T. Subcortical hypoperfusion associated with asymptomatic white matter lesions on magnetic resonance imaging. Stroke 1997;28:1944. [23] O'Sullivan M, Lythgoe DJ, Pereira AC, Summers PE, Jarosz JM, Williams SC, et al. Patterns of cerebral blood flow reduction in patients with ischemic leukoaraiosis. Neurology 2002;59:321. [24] Lacombe P, Oligo C, Domenga V, Tournier-Lasserve E, Joutel A. Impaired cerebral vasoreactivity in a transgenic mouse model of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy arteriopathy. Stroke 2005;36:1053. [25] Mantyla R, Aronen HJ, Salonen O, Pohjasvaara T, Korpelainen M, Peltonen T, et al. Magnetic resonance imaging white matter hyperintensities and mechanism of ischemic stroke. Stroke 1999;30:2053. [26] Gold G, Kovari E, Herrmann FR, Canuto A, Hof PR, Michel JP, et al. Cognitive consequences of thalamic, basal ganglia, and deep white matter lacunes in brain aging and dementia. Stroke 2005;36:1184. [27] Santos M, Gold G, Kovari E, Herrmann FR, Bozikas VP, Bouras C, et al. Differential impact of lacunes and microvascular lesions on poststroke depression. Stroke 2009;40: 3557–62. [28] Doubal FN, MacGillivray TJ, Patton N, Dhillon B, Dennis MS, Wardlaw JM. Fractional analysis of retinal vessels suggests a distinct vasculopathy causes lacunar stroke. Neurology 2010;74:1102–7. [29] Vermeer SE, Hollander M, van Dijk EJ, Hofman A, Koudstaal PJ, Breteler MM, et al. Silent brain infarcts and white matter lesions increase stroke risk in the general population: the Rotterdam Scan Study. Stroke 2003;34:1126 [30] Markus HS, Hunt B, Palmer K, Enzinger C, Schmidt H, Schmidt R. Markers of endothelial and hemostatic activation and progression of cerebral white matter hyperintensities: longitudinal results of the Austrian Stroke Prevention Study. Stroke 2005;36:1410. [31] Ruitenberg A, den Heijer T, Bakker SL, van Swieten JC, Koudstaal PJ, Hofman A, et al. Cerebral hypoperfusion and clinical onset of dementia: the Rotterdam Study. Ann Neurol 2005;57:789.
Ischemic Demyelination
291
[32] Sparks DL, Sabbagh MN, Connor DJ, Lopez J, Launer LJ, Browne P, et al. Atorvastatin for the treatment of mild to moderate Alzheimer disease: preliminary results. Arch Neurol 2005;62:753. [33] Wersching H, Duning T, Lohmann H, Mohammadi S, Stehling C, Fobker M, et al. Serum C-reactive protein is linked to cerebral microstructural integrity and cognitive function. Neurology 2010;74:1022–9. [34] Kuller LH, Longstreth Jr WT, Arnold AM, Bernick C, Bryan RN, Beauchamp Jr NJ. White matter hyperintensity on cranial magnetic resonance imaging: a predictor of stroke. Stroke 2004;35:1821–5. [35] Schmidt R, Fazekas F, Offenbacher H, Dusek T, Zach E, Reinhart B, et al. Neuropsychologic correlates of MRI white matter hyperintensities: a study of 150 normal volunteers. Neurology 1993;43:2490. [36] Schmidt R, Fazekas F, Kapeller P, Schmidt H, Hartung HP. MRI white matter hyperintensities: three-year follow-up of the Austrian stroke prevention study. Neurology 1999;53:132. [37] Schmidt R, Enzinger C, Ropele S, Schmidt H, Fazekas F. Progression of cerebral white matter lesions: 6-year results of the Austrian Stroke Prevention Study. Lancet 2003;361:2046. [38] Masdeu JC, Wolfson L, Lantos G, Tobin JN, Grober E, Whipple R, et al. Brain whitematter changes in the elderly prone to falling. Arch Neurol 1989;46:1292. [39] Schmidt R, Ropele S, Enzinger C, Petrovic K, Smith S, Schmidt H, et al. White matter lesion progression, brain atrophy, and cognitive decline: the Austrian stroke prevention study. Ann Neurol 2005;58:610. [40] Henon H, Vroylandt P, Durieu I, Pasquier F, Leys D. Leukoaraiosis more than dementia is a predictor of stroke recurrence. Stroke 2003;34:2935–40. [41] Palumbo V, Boulanger JM, Hill MD, Inzitari D, Buchan AM. Leukoaraiosis and intra cerebral hemorrhage after thrombolysis in acute stroke. Neurology 2007;68:1020–4. [42] De Groot JC, De Leeuw FE, Oudkerk M, Van Gijn J, Hofman A, Jolles J, et al. Periventricular cerebral white matter lesions predict rate of cognitive decline. Ann Neurol 2002;52:335–41. [43] Arsava EM, Rahman R, Rosand J, Lu J, Smith EE, Rost NS, et al. Severity of leukoaraiosis correlates with clinical outcome after ischemic stroke. Neurology 2009;72:1403–10.
14 Inflammatory Mechanisms in
Ischemic Cerebrovascular Disease Mutsumi Nagai, D. Neil Granger Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA
Inflammatory Cell Recruitment in Ischemic Stroke Leukocyte Recruitment in Post-Ischemic Cerebral Microvessels Kinetics of Accumulation of Different Leukocyte Populations Overview A significant reduction in cerebral blood flow (CBF) resulting from thrombosis, embolism, or relative hypoperfusion generally produces a characteristic infarct that can be divided into two regions that relate to the potential for cell survival. The center of the infarct has the least perfusion and is called the “ischemic core,” which is associated with rapid cell death caused by proteolysis, lipolysis, energy depletion, and a severe ionic imbalance [1]. A functionally disabled but viable region of brain tissue called the “penumbra” surrounds the ischemic core, where blood flow is limited and the cells enjoy a partially preserved metabolism [2]. Unless rescued, cells in the penumbra region will suffer from membrane damage mediated by a complex cascade of events, and this will progress and deteriorate over a period of several days. After an ischemic insult, the combination of bioenergetic failure, excitotoxicity, and oxidative stress leads to microvascular dysfunction and injury. Anatomically, brain vessels are surrounded by pericytes, which are attached by neurons or astrocytes with their end feet [3]. The functionally failed neurons may transmit a danger signal (directly or via interstitial astrocytes) to brain vessels. Alternatively, injured neurons or astrocytes can secrete certain cytokines, and these neuroglial–vascular interactions leads to vessel wall injury. Concurrently with the development of vascular injury, an inflammatory response is initiated shortly after the ischemic insult, and it can last for several days [4]. The inflammatory response appears to accelerate the progression of tissue injury even if tissue perfusion is restored hours after the ischemic attack. Direct therapy for cerebral infarction caused by arterial thrombosis is thrombolysis using tissue plasminogen activator (t-PA), which has a narrow window (<3 h) for effective treatment [5]. Such an intervention has the potential to rescue the penumbra region from the catastrophic ischemic cascade that is linked to local inflammation [6] (Figure 14.1). Neuroinflammation. DOI: 10.1016/B978-0-12-384913-7.00014-9 © 2011 Elsevier Inc. All rights reserved.
294
Neuroinflammation
Cell death
Ischemic core
Macroscopic image
Penumbra
Glial cell Hours
Seconds–minutes
Ischemic core
Thrombus
Days Brain damaged even if blood flow is restored
Inflammation
Neuron
Cell death
Microvascular injury
Hours
Penumbra
Days
Inflammatory cytokines, signals
Activated by excitotoxicity oxidative stress
Progressive inflammatory cascade
(A) Time Blood cell recruitment
Resident cell accumulation Ischemia/ reperfusion
4h
Monocyte/macrophage
Neutrophil Microglia
24 h
72 h
Weeks
(B)
Figure 14.1 (A) Time-dependent alterations of neurons and glial cells as well as macroscopic brain tissue following brain ischemia. In the ischemic core lesion, neurons and glial cells rapidly (seconds to minutes) die due to disruption of cell membranes caused by energy failure. In the penumbra, these cells can survive under conditions of minimal blood flow. However, the surviving cells are activated and secrete cytokines and other agents that initiate inflammation. Over a period of days, the inflammatory response intensifies, which renders cells within the penumbra vulnerable to necrosis and apoptosis. (B) Time-dependent appearance of different cell populations in the ischemic lesion. Neutrophils appear first (within 4 h after ischemia), followed by monocytes (within 24 h and remain after several weeks). Microglial cells accumulate between 24 and 72 h after the ischemic insult.
Cell Infiltration in the Infarct Area Under physiologic conditions, a relatively small number of leukocytes (compared to other tissue) reside in brain parenchyma, which is referred to as an immune privileged site. However, after ischemia, many kinds of cells (e.g., astrocytes, microglial cells, and endothelial cells [ECs]) are activated in brain tissue, with leukocytes and platelets infiltrating the tissue to mediate an inflammatory response. The population of the blood cells that infiltrate the brain is altered over the time course after the ischemic insult. Observations from a rodent middle cerebral artery (MCA) occlusion (MCAO) model indicate that resident microglial cells migrate into the peri-infarct area within 24 and 72 h of the ischemic insult, whereas monocytes/macrophages, which transform
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
295
into phagocytes and salvage injured cells, appear in the core lesion at 72 h after the ischemic insult [7,8]. The polymorphonuclear leukocytes (PMNs) appear in the ischemic brain within several minutes to a few hours after the insult. Infiltrating neutrophils and macrophages have also been described in human cerebral ischemic lesions [9]. A radiologic study employing radiolabeled PMNs has documented the early PMN recruitment that occurs in post-ischemic human brain [10]. Leukocyte recruitment is observed for days to weeks after an ischemic insult [11], during which there is a switch in the infiltrating population from PMNs to mononuclear leukocytes (MNs) (Figure 14.2).
Erythrocyte
Endothelial cell Intima
Neutrophil
Media Adventitia
Vessel lumen
Lymphocyte Monocyte Macrophage Platelet
Pericyte
Microglial cell Brain parenchyma Astrocyte
Neuron
(A)
Figure 14.2 Time-dependent changes in cerebral ECs, parenchymal cells, and recruited blood cells in post-ischemic brain. (A) Cell–cell interactions in and surrounding cerebral microvessels under normal physiologic conditions. Neurons and glial cells are attached via their end feet either directly or indirectly (via pericytes) to the blood vessel wall. Extraparenchymal vessels (e.g., pial vessels) lack these connections to the vessel wall. The brain vessels comprise three layers: the intima, media, and adventitia. The intima is covered with ECs, while the adventitia is covered with pericytes.
296
Neuroinflammation
Oxidative stress
End foot of Neuron
Activated endothelial cell
signal
Adventitia Adhesion molecules (E-, P-selectin)
signal
Inflammatory cytokines
Pericyte
End foot of Astrocyte
Astrocyte Inflammatory cytokines chemokines iNOS
sig
na
l
Neuron
Astrocyte Activated astrocyte
Neuron Excitotoxicity and oxidative stress
Activated neuron
(B)
Figure 14.2 (B) Early (within a few hours after ischemic insult) changes in and around a cerebral venule lying in an ischemic lesion. Astrocytes and neurons activated by the ischemic stress transmit danger signals to the vessel wall and secrete inflammatory cytokines, which in turn activate ECs to express adhesion molecules.
Astrocytes and Microglial Cells Both of these resident cells play a role in ischemiainduced brain injury. They are activated to produce reactive oxygen species (ROS) upon initiation of the ischemic stress. Astrocytes produce and secrete various proinflammatory cytokines, chemokines, as well as the inducible isoform of nitric oxide synthase (iNOS), all of which promote inflammation. Astrocytes also express the major histocompatibility complex (MHC) and co-stimulatory molecules, which support an anti-inflammatory response [12]. Microglial cells are the resident macrophages of the brain and play a crucial role as resident immunocompetent and phagocytic cells. There is substantial evidence that microglial cells activated in response to ischemia have the potential of releasing several pro-inflammatory cytokines, such as tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-6, as well as other potential inflammatory/cytotoxic molecules, including nitric oxide (NO), ROS, and prostaglandins [13]. However, there are some reports suggesting that microglial cells do not exacerbate brain injury by accelerating inflammatory response even though they appeared in the ischemic lesion and
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
297
PSGL-1 P-selectin
Blood flow Rolling
ICAM-1 Firm adhesion
β2-integrin
(C)
Figure 14.2 (C) Leukocyte recruitment paradigm after brain ischemia. Leukocytes (using PSGL-1) engage with EC E-selectin and/or P-selectin, which allow the low-affinity adhesive interaction called rolling. Subsequently, β2-integrin (LFA-1 or Mac-1) expressed on the leukocyte surface engages with ICAM-1 on ECs to mediate firm adhesion. Concomitantly, platelets adhere to both ECs and adherent leukocytes via different ligand–receptor interactions.
transformed into phagocytes. They seem to exert beneficial effects by supporting neurogenesis, as well as cell survival, migration, and differentiation [14]. Microglial cells may exert neuroprotection by producing neurotrophic molecules such as brainderived neurotrophic factor, insulin-like growth factor (IGF)-I, and several other growth factors. Hence, microglial cells seem to control inflammatory response, while acting to scavenge and repair injured brain tissue after ischemia. Neutrophils Neutrophils adhere on the vessel wall and infiltrate into the ischemic lesion before all other subtypes of leukocyte [8,9,15,16]. Although there are many reports suggesting that infiltrating leukocytes into the lesion are associated with deterioration after ischemic stroke, there are other reports that do not support this contention [17,18]. Lymphocytes There is a growing body of evidence that supports a role for T cells in the tissue injury following an ischemic stroke [15,19]. In a mouse model of cerebral ischemia–reperfusion (I/R), T cells appear to be major modulators of the adhesion of leukocytes and platelets in cerebral venules, and infarct size. Mice deficient in either CD4
298
Neuroinflammation
Transmigration
BBB dysfunction
Platelet–leukocyte aggregate Plasma extravasation
MMP-9
Exacerbate BBB dysfunction Pro-inflammatory cytokine
(D)
Figure 14.2 (D) Mechanisms of leukocyte transmigration, BBB dysfunction, and amplification of the inflammatory response. Neutrophils, monocytes, and lymphocytes migrate into the brain parenchyma in response to chemoattractants such as MCP-1, MIP-1, or RANTES derived from astrocytes, neurons, infiltrating leukocytes, or ECs. Proteinases such as MMP-9 derived from ECs, neurons, and/or astrocytes digest the endothelial basal lamina to cause BBB failure. The infiltrating neutrophils secrete more MMP-9 and pro-inflammatory cytokines, which worsens the BBB dysfunction and amplifies the inflammatory response. Some PLAs detach from the cerebral endothelium and enter the systemic circulation.
and/or CD8 T cells exhibited a reduced infarct size, a lower number of adherent leukocytes and platelets in the cerebral venules, and improved neurologic outcome 24 h after reperfusion [15]. B-cell–deficient mice did not exhibit protection against the inflammation, tissue injury, and neurologic deficits induced by ischemic stroke. In vitro experiments have revealed that the adhesion of lymphocytes derived from stroke patients to cerebral endothelium was significantly higher than that noted for lymphocytes isolated from healthy subjects. The pathophysiologic relevance of this observation is unclear since it is not known whether T cells must directly interact with cerebral ECs to exert their deleterious actions during ischemic stroke. Recently, the importance of regulatory T cells (Tregs) in ischemic stroke has been elucidated. The neuroprotective potential of Tregs was demonstrated by depletion of Tregs in mice, which delayed brain damage and neuronal function. The neuroprotective role of Tregs was mediated by IL-10 [20]. Another recent study has also
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
299
implicated IL-17–producing T cells in ischemic stroke. Although reconstitution of immunodeficient Rag-2/ mice with wild-type T cells leads to an exacerbation of ischemic brain injury, the adoptive transfer of T cells from IL-17 knockout mice into Rag-2/ mice leads to a significantly reduced infarct size. They also demonstrated that γδT cells were a major source of IL-17 and that IL-23 secreted from hematopoietic macrophages was the main stimulus for IL-17 secretion. Using either an antibody to T cell receptor (TCR) γδ or its knockout mice, they showed decreased IL-17 levels and reductions in the inflammatory response and magnitude of injury. A clinically important observation in this study was the capacity of the antibody to provide neuroprotection even though it was administered 24 h after the ischemic insult [21]. Macrophages and Monocytes Mononuclear cells accumulate in the ischemic region following the appearance of neutrophils, and they play an important role following their transformation into macrophages. Intravital microscopic studies suggest that the leukocyte population that accumulates after 24 h of reperfusion is mainly mononuclear cells rather than neutrophils, since mice rendered neutropenic with antineutrophil serum exhibit an attenuated recruitment of adherent leukocytes in cerebral venules at 4 h after I/R, but it has little effect on leukocyte adhesion at 24 h after reperfusion [15,16].
Role of Leukocyte and EC Adhesion Molecules Intravital microscopy has been used to directly monitor and quantify the recruitment of leukocytes or platelets in post-ischemic cerebral venules. After brain ischemia, circulating leukocytes begin to roll and firmly adhere to ECs in venules (not arterioles) and then transmigrate through the vessel wall into brain parenchyma [16,22]. The process of leukocyte infiltration involves several steps (see Figure 14.2C), including activation, rolling, firm adhesion, and transendothelial migration. ECs are activated by ischemic stress, which results in the cell surface expression of adhesion molecules. Likewise, activated leukocytes or platelets coursing through the cerebral microcirculation also express adhesion glycoproteins (GPs) that allow blood cells to form adhesive bonds with EC adhesion molecules. Oxidative stress, cytokines, and chemokines are some of the long list of stimuli that can promote the expression of adhesion molecules on ECs and blood cells following ischemic stroke.
Rolling and Firm Adhesion of Leukocytes
Rolling In non-inflamed cerebral venules, relatively few rolling leukocytes are observed. This may reflect a low expression of EC adhesion molecules, a high electrostatic charge on the EC surface, or high venular shear rates in the cerebral microvasculature [23]. ECs activated by ischemic stress express E-selectin and/or P-selectin. P-selectin is detected in 15 min and E-selectin in 2 h following brain ischemia [24]. P-selectin expression appears to be induced by a complement-dependent pathway, because its expression can be modulated by targeting the complement receptor-2 [24]. Circulating leukocytes and platelet constitutively express P-selectin glycoprotein ligand-1 (PSGL-1), and its motif sialyl-Lewisx can engage with either E-selectin or
300
Neuroinflammation
P-selectin. However, the engagement is too weak to arrest the leukocytes on ECs; consequently, in the presence of shear, the leukocytes roll on the EC surface [25]. Firm Adhesion The firm adhesion of leukocytes with ECs is mediated by the engagement of β2-integrins on leukocytes and its ligand, intercellular adhesion molecule-1 (ICAM-1), on ECs [23]. The β2-integrins are heterodimeric proteins that consist of α (e.g., CD11a, CD11b) and β (CD18) subunits. Both CD11a/CD18 (lymphocyte function-associated antigen-1 [LFA-1]) and CD11b/CD18 (macrophage-1 antigen [Mac-1]) appear to mediate the leukocyte adherence noted in post-ischemic cerebral venules at 24 h of reperfusion since LFA-1 knockout or Mac-1 knockout mice exhibit much less leukocyte adhesion at that time compared to wild-type controls subjected to MCAO [26]. The upregulation of EC adhesion molecules after MCAO is modulated by several signaling pathways, including CD40/CD40L and Notch-1. CD40 is expressed on lymphocytes, monocytes, platelets, dendritic cells, ECs, and neurons, whereas CD40L is detected on activated platelets. Mutant mice that are deficient in either CD40 or CD40L exhibit lower leukocyte and platelet recruitment in postischemic cerebral venules, which is associated with attenuated blood–brain barrier (BBB) damage and a smaller infarct volume [27]. Notch-1 also seems to contribute to adhesion molecule expression and leukocyte recruitment. Inhibition of the Notchactivating enzyme γ-secretase attenuates I/R-induced brain injury. It also reduces the accumulation of leukocytes and platelets, which was associated with smaller number of CD11b-positive cells in the cerebral cortex and attenuated ICAM-1 expression on the cerebral endothelium after I/R injury [28]. This finding suggests that Notch signaling may contribute to the upregulation of ICAM-1 and other EC adhesion molecules in the cerebral vasculature injured by I/R. Many studies have focused on testing the efficacy of agents that interfere with leukocyte–EC adhesion on the severity of brain injury after an ischemic insult. L-selectin blockade alone appears to exert little beneficial effect on brain damage and neutrophil infiltration in a rabbit model of ischemic stroke [29]. However, when used in combination with t-PA, significant protection against brain injury is observed [30]. P-selectin blockade has also proven effective in different experimental settings. P-selectin knockout mice exhibit a reduction in infarct volume, better functional outcome, and a better return of CBF after I/R [31]. Similarly, an anti–P-selectin antibody was shown to reduce infarct size in a model of cerebral I/R [32]. In a different study employing a permanent ischemia model, P-selectin immunoblockade reduced infarct size and brain edema. In these studies, anti–P-selectin antibodies were administered 30 min before ischemic induction, which does not adequately reflect potential clinical use as a therapeutic agent. E-selectin immunoblockade appears to exert a therapeutic effect when administered following the induction of cerebral ischemia. Administration of an anti–E-selectin antibody reduces infarct size even when administered 90 min after ischemic insult [33]. E-selectin blockade with an analogue of sialyl-Lewisx (CY-1503) also reduces infarct size and neutrophil recruitment. Administration of a humanized monoclonal anti–E-selectin and P-selectin antibody (HuEP5C7) has been reported to reduce infarct volume and improve neurologic outcome when administered during the period of cerebral vessel occlusion, but did not exert a beneficial effect when administered after
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
301
stroke onset [34]. Selectin blockade with a synthetic oligopeptide also has been shown to reduce brain injury in a transient but not in a permanent model of cerebral ischemia, suggesting that reperfusion is necessary for effective anti-selectin therapy [35]. A novel strategy for induction of mucosal immune tolerance to E-selectin has shown promise in preventing the genesis of ischemic and hemorrhagic strokes in spontaneously hypertensive stroke-prone rats [36], and to confer neuroprotection in a model of permanent ischemia [37]. There is considerable evidence for an increased expression of ICAM-1 in the post-ischemic brain [9]. ICAM-1–deficient mice exhibit smaller infarct sizes and less neutrophil recruitment following ischemic stroke compared to wild-type mice [31,38]. Similar protection is observed in wild-type mice receiving an ICAM-1– blocking antibody, either with or without concomitant treatment with t-PA [39]. On the basis of these promising preclinical studies with anti–ICAM-1 therapies, human trials were undertaken; however, the clinical studies failed to show an improved outcome in stroke patients [40]. LFA-1 is expressed on all leukocytes while Mac-1 is found on neutrophils, monocytes, and natural killer (NK) cells. Both β2-integrins are constitutively expressed, and increased expression and/or activation occurs following ischemic stroke. Mac-1 and CD18 knockout mice exhibit a reduced infarct volume and a lower mortality after cerebral I/R [41]. Immunoblockade of CD11b, CD18, or Mac-1 also protects against brain ischemic injury [42]. Moreover, immunoblockade of CD18 ameliorates the brain edema and infarction size while blunting the leukocyte recruitment [43]. In vitro experiments also suggest that lymphocyte adhesion on cerebral endothelium subjected to ischemia/hypoxia is dependent on LFA-1 and ICAM-1[44]. This could explain why LFA-1 blockade and Mac-1 blockade are more effective at blunting leukocyte recruitment at later times after I/R injury [26]. Collectively, the available data indicate that anti–β2-integrin and anti–P-selectin therapies are effective in models of ischemic stroke, especially if there is adequate reperfusion [45]. This possibility is supported by the observation that a combination of anti–β2-integrin (CD11/CD18) and t-PA confers a better therapeutic outcome in experimental animals than either agent alone [46]. A clinical study of acute stroke therapy (within 6 h of stroke insult) employed UK-279,276, which binds to Mac-1 antigen (CD11b/CD18). A quarter of the patients were treated with the anti–Mac-1 drug along with t-PA. While there was no evidence for effective treatment with UK-279,276, a post hoc analysis showed a slight improvement in patients who received the combination therapy [47]. Transendothelial Migration The final step in the recruitment of leukocytes is transendothelial migration, which allows leukocytes to enter the brain parenchyma. Specialized proteins expressed in the junctions between adjacent ECs that are associated with the cytoskeleton facilitate this process, along with proteases secreted by the transmigrating leukocytes. Signaling pathways within the ECs are activated in response to leukocyte entry into the interendothelial junctions. These pathways affect the stability of the junctional proteins and/or their interactions with each other and the cytoskeleton. Another important contributor to the transendothelial migration process is chemokines, which promote the directed movement of adherent leukocytes toward the junction and to sites within the perivascular space [48].
302
Neuroinflammation
Contribution of Cytokines and Chemokines A variety of cytokines and chemokines are upregulated in the ischemic brain. Resident cells (glial cells and neurons) as well as recruited leukocytes (MNs, T lymphocytes, NK cells, and PMNs) secrete a number of cytokines and chemokines [49]. TNF-α, IL-1β, IL-6, IL-20, IL-10, and transforming growth factor (TGF)-β have been extensively studied in stroke, and the results are generally consistent with IL-1β and TNF-α promoting ischemic injury and inflammation, while IL-6, IL-10, and TGF-β appear to confer neuroprotection [50].
Interleukin-1β This is a major pro-inflammatory cytokine that has been widely studied. The major sources of the cytokine are ECs, microglia, macrophages, and damaged neuron or astrocytes. These cells express IL-1β mRNA as early as 15 min after an ischemic insult and produce the protein within a few hours and up to 4 days after the ischemic insult [51]. Administration of IL-1β exacerbates brain edema, infarction volume, and neutrophil infiltration after cerebral ischemia [52]. Infarct size is reduced in IL-1– deficient mice [53]. Both an anti–IL-1β antibody and an IL-1 receptor antagonist have been shown to ameliorate ischemic brain damage [52,54]. Recently, it was proposed that the enhanced IL-1β production in ischemic brain is associated with activation of Toll-like receptor (TLR)-4 and/or matrix metalloproteinase (MMP) activity [55]. While there is evidence that elevated IL-1β levels after stroke are correlated with IL-6 levels in plasma [56], studies on IL-6–deficient mice or intraventricular administration of IL-6 do not support such a linkage [57,58].
Tumor necrosis factor-α This cytokine is produced by neurons in the early stage (first hour) of an ischemic insult, with microglial cells and macrophages assuming a larger role in the later stages of the injury response [59]. TNF-α immunoblockade has been shown to reduce ischemic brain injury. However, it has been reported that blockade of the α (p55) subunit of the TNF-α receptor exacerbates the brain damage after ischemia [60].
Interleukin-10 A neuroprotective effect is observed with IL-10 [61], and it has been proposed as an indicator of clinical neurologic outcome after stroke. A reduced concentration of IL-10 within 1 h of an ischemic insult appears to indicate an exacerbation of neurologic symptoms [62]. The recent demonstration that Tregs exert a protective effect against the inflammation and tissue injury in ischemic stroke has been attributed to the ability of these cells to secrete IL-10 [20].
Chemokines MCP-1 is a potent chemoattractant that promotes the migration of monocytes and neutrophils into tissues. Injured neurons are a major source of MCP-1 in the first
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
303
12 h after an ischemic insult, while astrocytes or microglia account for the MCP-1 in the later stages (e.g., 2 days) of an ischemic stroke [63]. While MCP-1 exacerbates brain injury due to its pro-inflammatory effects, it also facilitates the salvage function of inflammatory cells by directing them to damaged neurons. The results of a recent study revealed a role for MCP-1 in attracting neuroblasts into an ischemic locus in the brain, which was demonstrated using knockout mice for MCP-1 and its receptor (CCR2) [63].
Stromal Cell-Derived Factor-1α This is the trafficking factor for hematopoietic stem cells that influences their movement from bone marrow to peripheral blood and subsequent migration into ischemic brain tissue [64]. Recent work indicates that stromal cell-derived factor-1α treatment may rescue brain tissue after ischemia by reducing infarct volume and improving neural plasticity [65].
RANTES Regulated on activation, normal T-cell-expressed and secreted (RANTES) is a member of the CC-chemokine family. RANTES knockout mice and bone marrow chimeras produced from these mice have revealed that RANTES is an important mediator of BBB dysfunction, tissue inflammation, and platelet–vessel wall interactions in brain after I/R. Platelets were proposed as a potential source of the RANTES released into post-ischemic brain [22].
Role of Reactive Oxygen and Nitrogen Species Following an ischemic insult, brain cells produce increased amounts of reactive oxygen and nitrogen species, which can exacerbate the deleterious effects of ischemia via multiple injury mechanisms. Reactive oxygen and nitrogen molecules injure brain tissue via processes such as mitochondrial inhibition, Ca2 overload, and inflammation [66]. Nicotinamide adenine dinucleotide phosphate (NADPH) oxidase appears to be a major source of the superoxide (O2) that is generated following brain ischemia [67]. The O2 formed by NADPH oxidase undergoes spontaneous dismutation to form hydrogen peroxide (H2O2), which is a potential source of hydroxyl radicals (OH). NO is produced from l-arginine by three types of NOS. In the early stage of brain ischemia, NOS types I and III are the predominant isoforms that are activated in neurons and vascular endothelium. At the later stages, NOS type II (iNOS) is activated in a variety of cells, including glial cells and infiltrating neutrophils [68]. Immediately following the ischemic insult, NO derived from endothelial NOS elicits vasodilatation, while the NO produced in the later stage by neuronal NOS or iNOS promotes tissue injury [69]. However, the results of a recent report suggest that iNOS is not always a deleterious mediator, since iNOS-deficient mice did not exhibit an exaggerated infarct volume and CBF response to brain I/R injury [70]. In addition to causing cell damage and activating different signaling pathways, oxygen-free radicals can
304
Neuroinflammation
activate MMP, especially MMP-9, which mediates extracellular damage and leads to BBB dysfunction.
Trigger for Post-Ischemic Inflammation Recent studies have revealed that TLRs expressed on various immune cells play an important role in the initiation of inflammatory responses in different brain cells after I/R. When any invariant- or damage-associated molecular pattern (e.g., ischemic stress-induced heat-shock protein) engages with TLR, the inflammatory signal is transmitted downstream of the NFκB or mitogen-activated protein kinase (MARK) pathways in brain cells. Then, these cells begin to produce and secrete pro-inflammatory cytokines, such as IL-1 and TNF-α and chemokines, and elicit the expression of adhesion molecules [71]. Consequently, TLR-2 and TLR-4 knockout mice are protected from ischemic brain injury [72,73]. TLRs also have a beneficial role after ischemic brain injury, when they are involved in mediating a preconditioning response prior to brain ischemia. Promotion of inflammation by lipopolysaccharide (LPS), a TLR-4 ligand, administered within 24 h of an ischemic insult worsens the injury response; however, if it is administrated more than 24 h before the ischemic insult, a beneficial effect is noted [74]. The neuroprotective preconditioning response is also manifested through TLR-2– or TLR-9– mediated pathways [75,76]. These novel findings offer hope for a potentially new therapeutic strategy for prevention of stroke-induced brain injury in high-risk patients.
Platelet Recruitment: Magnitude and Mechanisms Brain ischemia triggers marked alterations in the cerebral microvascular endothelium. Activated ECs express various adhesion molecules, which promote rolling and firm adhesion of platelets as well as leukocytes. The recruited platelets, either directly attached to ECs or bound to adherent leukocytes, promote a pro-thrombotic state that further exaggerates the perfusion deficit and state of “no flow” that accompanies cerebral ischemia [77]. Thus, the recruitment of leukocytes is accompanied by platelet recruitment after cerebral I/R.
Kinetics of Accumulation The leukocyte adhesion that occurs after cerebral I/R injury is accompanied by the recruitment of platelets. Platelet recruitment generally lags behind leukocyte recruitment. In addition, a large population of recruited platelets can be attached to the leukocytes that have already adhered on the cerebral endothelium. At 4 h of reperfusion after cerebral ischemia, neutrophil-dependent platelet is dominant, but at 24 h of reperfusion, neutrophil-independent mechanisms may have a dominant influence on platelet accumulation in cerebral venules [15]. The neutrophil-independent platelet adhesion may reflect binding to other leukocyte populations or the direct adhesion of platelets to cerebral microvascular ECs. The time-dependent changes in platelet and leukocyte adhesion in post-ischemic cerebral venules and the dependency of platelet recruitment on neutrophils have been recently addressed in detail [78].
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
305
Molecular Determinants (Adhesion Molecules) and Dependency on Leukocyte Recruitment Major receptor–ligand interactions that contribute to platelet recruitment in microvessels include P-selectin–PSGL-1, GPIIb/IIIa–fibrinogen–ICAM-1, and von Willebrand factor (vWF)–GPIbα (Figure 14.3) [79]. The interactions between platelets, leukocytes, and cerebral vascular ECs after ischemia have been recently characterized. The contribution of P-selectin and ICAM-1 to platelet recruitment in ischemic cerebral venules was investigated using platelets harvested from P-selectin/ and ICAM-1/ mice [25]. The findings of this study were consistent with two possible mechanisms to explain platelet recruitment in cerebral venules within the infarcted region [80]. One involves the binding of GPIIb/IIIa on platelets with fibrinogen, which is deposited on endothelial ICAM-1, while the second mechanism proposes that adherent leukocytes provide a PSGL-1–expressing platform onto which platelet P-selectin can bind. The results of a different study suggest that P-selectin is more important than GPIIb/IIIa in mediating platelet recruitment in post-ischemic venules, and that mice rendered neutropenic exhibit a profound attenuation of platelet adhesion [16]. The
PSGL-1
Fibrinogen
P-selectin
vWF
ICAM-1
GPIIb/IIIa
β2-integrin
GPIbα
Endothelial denudation
Collagen
Figure 14.3 Different patterns of platelet adhesion in post-ischemic cerebral microvessels. Some platelets adhere directly to ECs while other platelets attach to already adherent leukocytes.
306
Neuroinflammation
dependency of platelet recruitment in the microcirculation on leukocytes appears to depend on the inflammatory insult (e.g., ischemia versus TNF-α) and location of the venule (e.g., brain versus mesentery) [67,81–83]. A dependency of platelet recruitment on leukocyte adhesion is also supported by the observation that platelet accumulation in cerebral venules is delayed relative to leukocyte adhesion after I/R [79].
Platelet–Leukocyte Aggregates The attachment of platelets to leukocytes enhances the activation state of both cell types. Activated platelets promote leukocytes to produce larger quantities of superoxide and platelet-activating factor when attached to the leukocyte [84]. Moreover, platelet–leukocyte aggregates (PLAs) formed in an inflammatory locus can play a role in disseminating the inflammatory response to distant sites. PLAs formed on the vessel wall can be detached from vascular endothelium by shear forces created by the movement of blood. The appearance of a higher number of PLAs in the peripheral blood in stroke patients may reflect such a mechanism or may result from the binding of platelets to leukocytes in the circulation [85].
Consequences of Leukocyte and Platelet Recruitment Infarct Size As mentioned above, there is considerable evidence that leukocyte recruitment is tightly correlated with infarct volume after brain ischemia [78,86]. However, not all leukocyte subpopulations are associated with accelerated brain injury after stroke. Neutrophils have been shown to hasten brain injury after stroke, but there also are some reports suggesting that neutrophils do not affect infarct size [17], suggesting that the neutrophil may be a bystander rather than an effecter of tissue injury after cerebral ischemia. The contribution of lymphocytes to the brain injury response appears to be population-specific. Th1, Th17, and cytotoxic T lymphocytes (CTLs) contribute to the pro-inflammatory response, whereas Th2 and Tregs tend to downregulate the inflammatory response to cerebral ischemia. Depletion of either CD4 or CD8 T cells confers protection against brain infarction after I/R [15,78]. Platelets may also exacerbate ischemic brain injury through their interactions with adherent and/or circulating leukocytes. These heterotypic and homotypic interactions of blood cells may also contribute to the apparent “no-flow” state that often accompanies reperfusion of ischemic tissue [77]. There is no direct evidence that platelet depletion ameliorates brain infarct volume after ischemia, likely due to the consequences of platelet depletion on blood clotting and bleeding [22]. However, indirect evidence for a contribution of platelets is suggested by studies showing reductions in infarct volume following P-selectin blockade.
BBB Dysfunction The BBB is one of the most important physiologic characteristics of the cerebral vasculature. It is defined by a low permeability for small hydrophilic molecules, low
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
307
rates of fluid-phase endocytosis, and high resistance to exchange. The BBB comprises a network of tight junctions, complex structures between adjacent ECs. In addition, there are several perivascular cells (pericytes, astroglial cells) that interact with ECs to contribute to the BBB phenotype [86]. After an ischemic insult, the BBB fails, allowing for the infiltration of leukocytes that secrete pro-inflammatory cytokines and chemokines, worsening the BBB dysfunction. The BBB disruption can lead to albumin extravasation, interstitial edema, and the movement of erythrocytes into the extravascular space. The time course of ischemia-induced BBB dysfunction is divided into early (2–24 h) and late (24–72 h) phases, which relate to distinct mechanisms of injury [87,88]. In the early phase (as early as 2 h following ischemic insult), dissolution of the basal lamina is elicited by several factors and BBB permeability rises. In neurons, glial cells, and ECs, ischemia induces oxidative stress, which triggers the production and activation of MMPs (especially for MMP-9) and other proteinases that digest endothelial basal lamina [89]. In the early phase, resident inflammatory cells are a major contributor to BBB dysfunction. However, in the late phase, infiltrating neutrophils gain importance as a contributor. Infiltrating neutrophils secrete MMP-9 as well as pro-inflammatory cytokines, which further digest the basal lamina, leading to severe BBB dysfunction. The discontinuous basal lamina ensures the easy transmigration of neutrophils through the BBB [90], which accelerates the inflammatory process and induces potentially life-threatening conditions (i.e., brain edema and hemorrhage).
Inflammatory Mechanisms in Cerebrovascular Thrombosis Arterial Thrombosis: Atherothrombosis Atherosclerosis is a major risk factor that predisposes the brain to thrombosis and cerebral ischemia. It is now widely recognized that atherosclerosis is an inflammatory disease, and that monocytes/macrophages as well as T cells contribute to plaque development. Large-scale clinical trials have revealed that the reductions in total cholesterol or low-density lipoprotein (LDL) levels in blood reduce the incidence of atherosclerosis and strokes [91].
Mechanisms for Thrombus Formation Hypercholesterolemia and other cardiovascular risk factors, including high blood pressure, diabetes mellitus, and smoking, promote the deposition of LDL beneath the ECs of large arteries, particularly those vessels exposed to high shear rates. This process involves the passive diffusion of apolipoprotein B (on LDL) into the subendothelial matrix [92]. The LDL is retained in the extracellular matrix and transformed into oxidized LDL (oxLDL) by ROS [93]. OxLDL and oxidized phospholipids derived from oxLDL activate ECs and induce an increased expression of adhesion molecules (e.g., ICAM-1, VCAM-1, or ELAM-1). Activated ECs allow leukocytes or platelets to roll and adhere, with the subsequent transendothelial migration into
308
Neuroinflammation
the intimal layer. Pro-inflammatory cytokines produced by leukocytes and platelets diminish endothelial barrier function, allowing easy passage of lipoproteins and the lipid components thereof into the subendothelial space. Monocytes, which become loaded with oxLDL and other lipids, transform into foam cells that accumulate to form the early plaque lesion. The atherosclerotic plaque is composed of a core lesion, proliferating smooth muscle cells (SMCs), extracellular matrix, and a fibrous cap that covers the lesion. The further deposition of extracellular components, blood cell recruitment, and neovascularization induced by cytokines and growth factors derived from infiltrating cells promote growth of the core, which leads to a thicker intimal layer that bulges into and narrows the vessel lumen. Within the core lesion, apoptosis of macrophages and other cells creates a necrotic core, and neovascularization can lead to hemorrhage of the fragile vessels. Immune cells secrete matrixdegrading proteases that cause thinning of the fibrous cap until it eventually ruptures. Exposure of the matrix beneath the ruptured plaque as well as tissue factor (TF) can initiate the coagulation cascade, producing a thrombus that can reduce blood flow at the site of development or that can dislodge to occlude a smaller downstream artery [94–96]. While monocytes/macrophages have received much attention as mediators of atherogenesis, recent studies suggest that mast cells, neutrophils, and lymphocytes also make a significant contribution to this process (Figure 14.4).
Role of Blood Cells Neutrophils Some recent studies demonstrated the importance of neutrophils in atherogenesis [97]. A histopathologic study of the human circle of Willis showed that neutrophils infiltrate into a lesion during the late stage of atherogenesis and contributes to plaque rupture by secreting elastase [98]. Another histologic study revealed neutrophil infiltration at the lesion area that is attached to the plaque and the adventitia [99]. It was reported that CXCR4 blockade exacerbates atherosclerosis in apolipoprotein E-deficient (ApoE/) and LDL receptor-deficient (LDLR/) mice, and this was associated with neutrophil accumulation in the plaque, increased inflammation, and enhanced apoptosis (Figure 14.5).
Mast Cells Mast cells appear to render atherosclerotic plaques more vulnerable to instability and rupture [100]. Mast cell–derived cytokines, TNF-α and IL-6, play a role in the formation of aneurysms and in atherogenesis, as evidenced from studies using mice that are genetically deficient in these cytokines [101].
Monocytes/Macrophages This leukocyte population seems to play a major role in all stages in atherogenesis. Transmigrated monocytes are transformed into activated macrophages by monocyte-colony stimulating factor (M-CSF) secreted by endothelial and vascular SMCs. Activated macrophages take up oxLDL through pattern-recognition receptors such as scavenger receptor type A and CD36 [102], then transform into foam
Lumen
LDL Endothelial cell Smooth muscle cell Monocyte
Activated EC Neutrophil Platelet Adhesion molecules
High blood pressure Diabetes mellitus Smoking Shear stress LDL depositionn
Time
Adhesion molecules expressed on EC (ICAM-1, VCAM-1, E-selectin)
Intima
Activation LDL
oxLDL
Media
ROS
Adventitia
(A)
Time
Monocyte Macrophage Foam cell
Pro-inflammatory cytokines BBB dysfunction
SMC proliferation M-CSF Monocyte
Macrophage
Foam cell
(B)
Figure 14.4 (A) Events associated with the early stage of atherothrombosis development. Circulating LDL crosses the EC layer and is retained in the extracellular matrix of the intima. The LDL is oxidized by ROS to form oxLDL, which activates ECs and promotes the expression of EC adhesion molecules that bind and recruit circulating leukocytes (monocytes). (B) Events associated with the intermediate stage of atherothrombosis. Transmigrated and accumulating monocytes transform into macrophages (foam cells) in response to M-CSF. Pro-inflammatory cytokines derived from leukocytes and ECs impair endothelial barrier function, which facilitates the passage of LDL. The accumulated foam cells, LDL, and proliferating SMC make up early plaque.
310
Neuroinflammation
Dead cell
Lymphocyte
Tissue factor
Angiogenesis
vWF
Plaque core
Fibrin
GPIbα
Fibrous cap
Mature plaque
Ruptured plaque
(C)
Figure 14.4 (C) Events associated with plaque maturation and rupture. The core of mature plaque contains dead cells, newly formed blood vessels, and leukocytes. The core lesion is also covered with extracellular matrix and a fibrous cap. The immune cells secrete matrixdegrading protease, which thins the fibrous cap and renders it vulnerable to rupture. The ruptured atherosclerotic plaque exposes the extracellular matrix with its associated TF, vWF, and collagen, which activates the coagulation cascade and promotes platelet binding and aggregation.
cells. Recent studies have revealed two types of macrophages (M1 and M2) based on their contribution to inflammation. M1 has pro-atherogenic potential through the secretion of pro-inflammatory cytokines (e.g., IL-1 and TNF-α) and production of ROS, whereas M2 exhibits anti-inflammatory potential by secreting IL-10 or TGF-β [103]. Activated LDL-bearing macrophages secrete various cytokines, enzymes (e.g., cysteine-protease, serine-protease, MMP), and growth factors (e.g., platelet-derived growth factor [PDGF], vascular endothelial growth factor [VEGF], and IGF), which promote the inflammatory response with the help of T-cell–derived cytokines. This coordinated inflammatory response leads to SMC proliferation and migration into the intima. In the initial stage of monocyte adhesion and transmigration into the intima, several adhesion molecules, such as P-selectin, VCAM-1, and ICAM-1, are expressed on the ECs and facilitate monocyte recruitment. Although inhibition of VCAM-1 in animal models dramatically reduces plaque size, VCAM-1 blockade has no beneficial effect in myocardial infarction or ischemic stroke [104]. Other clinical trials of adhesion molecule blockade are ongoing. The function of monocytes/macrophages has been reviewed in detail by others [94,95]. Briefly, foam cells produce cyclo-oxygenase-1 and -2 (COX-1 and -2), which promote thromboxane A2 (TXA2) generation. TXA2 induces vasoconstriction and
VCAM-1
Endothelial cell
ICAM-1
Adhesion molecule expression
Cytokines Monocyte/Macrophage
Th1 pro-inflammation
T-lymphocyte
Growth factors IFN-γ
IL-1
TNF-α
TNF-α
Chemokines
MMP
MMP
VEGF
Neovascularization Smooth muscle cell (SMC)
collagen synthesis
SMC proliferation and migration
IGF
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
P-selectin
CD40
Th2 anti-atherogenesis
Express pro-inflammatory receptor (CCR4, CXCR4, CX3CR1)
Platelet Treg
Endothelial cell
IL-1β RANTES PF-4 MIP-1α TGF-β MMP
311
Figure 14.5 Cell–cell interactions among leukocytes, platelets, ECs, and SMCs during the development of atherothrombosis.
312
Neuroinflammation
platelet aggregation by binding thromboxane prostanoid (TP). Animal studies using a TP receptor blocker showed a beneficial effect on atherosclerosis development [105]. However, COX-2 seems to have a complex role in atherogenesis because its inhibition is associated with both beneficial and adverse pro-thrombotic effects [106].
T Cells The role of lymphocytes in the development of atherosclerotic lesions has been discussed in detail by others [96]. Briefly, emigrated T cells are activated by an interaction with antigen-presenting cells such as macrophages, dendritic cells, or ECs, and then differentiate into either T-helper (Th)1 or Th2 cells [107]. Th1 cells produce various pro-inflammatory cytokines (e.g., IFN-γ, TNF-α) and chemokines that promote plaque development and instability by stimulating the secretion of proteases such as MMP that hydrolyze the extracellular matrix [108]. Th2 cells seem to inhibit atherogenesis inasmuch as blockade of the Th2 response reveals atherogenesis [109]. Tregs, which are known to play a role in self-tolerance and autoimmunity, are detected in atherosclerotic lesions of apoE/ mice [110]. Secretion of TGF-β may account for the protective effect of Tregs [111].
Platelets A detailed discussion of the role of platelets in atherogenesis is available elsewhere [112]. Platelets appear to modulate the inflammatory response during all stages of atherogenesis. Adhesion onto injured ECs leads to platelet activation. Activated platelets produce several cytokines (e.g., CD40L, IL-1β), chemokines (e.g., RANTES, platelet factor [PF]-4, MIP-1α), and growth factors (e.g., platelet-derived growth factor (PDGF), TGF-β) and express pro-inflammatory receptors (e.g., CCR4, CXCR4, CX3CR1) and ligands (e.g., CCL5, CXCL4) [113]. This allows platelets to participate in the inflammatory response by attracting immune cells, stimulating SMC proliferation, and secreting proteases such as MMP. Following plaque rupture, circulating platelets quickly adhere onto the injured vessel wall via exposed collagen and through platelet GP receptor interactions with vWF and other GP receptors, initiating the coagulation cascade [112]. TF, which is abundant in the atherosclerotic plaque [114], also contributes to the local coagulation and thrombus development that can result in a sudden stroke.
Smooth Muscle Cells SMCs exhibit the capacity to adapt to their environment. Consequently, in response to injury, SMCs assume a secretory phenotype and release growth factors and cytokines, such as VEGF, TNF-α, and IL-1, and produce collagen and other components of the extracellular matrix. With these phenotypic changes, SMCs participate in the early phases of atherogenesis [115].
Vaccination as a Therapeutic Strategy for Stroke Vaccination has been proposed as a novel therapeutic approach for atherosclerosis [116]. Based on the concept that oxLDL is the major antigen that initiates the
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
313
immune response that leads to plaque formation [96,117], oxLDL immunization therapy has been used to prevent lesion development in animal models of atherosclerosis; however, this approach to develop adaptive autoimmunity proved to be unsatisfactory. Subsequent studies have employed natural antibodies specific for phosphatidyl choline or apolipoprotein B peptide and showed reduced atherosclerosis [118]. The induction of mucosal tolerance for heat-shock protein 65, a potent atherogenic accelerator, or oxLDL also has been shown to significantly attenuate the development of atherosclerosis [119].
Venous Thrombosis The pathophysiology of venous thrombosis in the cerebral circulation differs from that of the arterial system. The difference includes risk factors, mechanisms of development, and properties of the thrombosis. Venous thrombosis also associates with systemic or local inflammation, as seen with arterial thrombosis. While the pathology of cerebral venous sinus thrombosis (CVST) has largely been attributed to congestion of venous circulation, recent work has implicated an inflammatory response in CVST. The pathophysiology of venous thrombosis is consistent with Virchow’s triad—that is, it involves changes in blood composition and alterations in the vessel wall and blood flow [120].
Mechanisms of Thrombus Development The first of three main causes of CVST is a change in blood composition, which involves either congenital or acquired factors [121]. The former includes factor V Leiden mutation, prothrombin-gene mutation 20210GA, and protein C or S deficiency; the latter factors include polycythemia, thrombocythemia, pregnancy puerperium, and oral contraceptives. The alteration in the vessel wall that contributes to CVST development is EC activation. EC activation can result from systemic vasculitis or an inflammatory response (due to infection) that spreads from the head and neck, such as sinusitis or otitis. The blood flow factor is generally manifested as blood flow stasis, which has been ascribed an important role in the induction of cerebral venous thrombosis. The mechanisms underlying the development of deep vein thrombosis (DVT) are more clearly delineated than those for CVST. DVT development is influenced by the presence of valves, which causes blood to swirl in the valve pocket, leading to stasis, hypoxia, and EC activation [122]. Unlike the deep veins, the venous system in the brain has no valves, but it has a well-developed collateral network such as the anastomotic vein of Trolard or the vein of Labbé, which connect the cavernous or sphenoparietal sinus to the superior sagittal or transverse sinus through the cerebral veins. Blood flow in the superior sagittal sinus (SSS), where CVST is most frequently evidenced [123], can easily change direction with any minor obstruction from backward to forward flow and drain into the other sinus via an anastomotic vein. As shown in Figure 14.6, the bidirectional venous draining system in the brain promotes blood stasis between a set of two entry points, leading to hypoxia in SSS
314
Neuroinflammation
Rostral
Inferior cerebral vein
Cortical vein
Minor blood flow Prone to stasis
Main blood flow Transverse sinus
Sinus confluence
Caudal
Figure 14.6 Anatomic features of the cerebral venous sinus in mice. In addition to the major draining system, the transverse sinus, the SSS can drain into the inferior cerebral vein, which drains blood anteriorly into the SSS. This anatomic feature may contribute to blood flow stasis in the SSS.
ECs. This possibility has been demonstrated in mice but not humans. Mice also have an anastomotic inferior cerebral vein and are predisposed to blood stasis in the SSS. Blood flow between a set of two entry points in the SSS in mice was very slow and readily changed direction, which has been confirmed by the authors (unpublished observation).
Mechanism of Thrombus Development in the Venous System Activated ECs express P-selectin, which allows for the binding of leukocytes or TF-expressing microparticles derived from monocytes and platelets. The accumulating TF can initiate venous thrombosis [124]. The critical role of P-selectin has been demonstrated in an animal model of venous thrombosis wherein an inhibitor of P-selectin prevented venous thrombus formation [125]. Another study has revealed that the presence of TF-bearing microparticles is significantly correlated with thrombus weight in an inferior vena cava model of murine thrombosis [126]. There is also evidence in the extracranial vasculature (e.g., vena cava, jugular vein, saphenous vein) that vessel wall-associated TF plays an equally important role in venous thrombosis. It was shown that mice deficient in blood cell-associated TF (but not on the vessel wall) do not exhibit a significantly altered thrombus formation [127]. Recently, we provided evidence that TF immunoblockade protects against photoactivation-induced thrombosis in cerebral venules. In addition, we reported that vessel wall-associated
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
vWF
Tissue factor (TF)
P-selectin
PSGL-1
Microparticle (MP)
Fibrin
Stasis, pressure
315
Time Clot
Inflammation (APC pathway) P-selectin vWF expression
Figure 14.7 Proposed mechanism of thrombus development in the cerebral venous system. Stasis and/or increased intravascular pressure activate ECs, which initiate thrombus development. Circulating microparticles express both TF and PSGL-1, with the latter allowing the microparticles to bind to endothelial P-selectin. The accumulation of TF-rich microparticles activates the coagulation cascade. Activated ECs also express vWF, which can promote the accumulation of platelets. The static or reduced blood flow results in the formation of a clot that is composed of a mixture of fibrin, erythrocytes, leukocytes, and platelets.
TF contributes to thrombus formation in cerebral venules, while blood cell- and/or microparticle-associated TF was more important in promoting thrombosis in cerebral arterioles [128]. Of interest was the observation that TF immunoneutralization had no effect on FeCl3-induced thrombus development in the SSS, which raises a question about a role for TF in the development of CVST (Figure 14.7). Upon activation of TF, the coagulation cascade proceeds to produce thrombin and eventually fibrin. Whether sufficient thrombin and fibrin is produced to yield a thrombus is also dependent on the efficiency of the anticoagulant pathways, including heparin-antithrombin and the protein C pathway. In a murine model of CVST, it was demonstrated that both heparin-antithrombin and the protein C pathway play an important role in slowing the development of FeCl3-induced thrombus development in the SSS [128]. Activated ECs express vWF as well as P-selectin, both of which are stored in granules called Weibel–Palade bodies. These EC adhesion molecules bind to counter-receptors expressed on leukocytes and erythrocytes as well as platelets [129]. The blood cells are mixed with fibrin and form “red clots” in veins, while the “white
316
Neuroinflammation
clots” in arteries are mainly composed of platelets. Venous thrombi occasionally include a platelet aggregate (lines of Zahn) that typically appears on the downstream aspect of the clot. The clot is primarily attached to endothelium via fibrin in veins, but through platelets in arteries [130].
Role of Inflammation An association between inflammation and the development of CVST is predicted from a large-scale statistical analysis of clinical data performed in 2004 [123]. For example, 12% of CVST patients have a facial or intracranial infection. Based on the existence of venous connections between the cavernous sinus and veins draining the paranasal sinus, as well as a connection between the venous drainage of the ear and the lateral petrosal sinus, it is not surprising that the inflammatory responses in sinusitis and otitis spread to the cerebral venous sinuses. While 12% of CVST cases include a preceding inflammatory response, it remains unclear how an infection at these sites can propagate the inflammation to the SSS via the cerebral venous system. Although the link between inflammation and thrombosis has been extensively addressed for DVT [130], less attention has been devoted to this process in the cerebral venous system. Nonetheless, the fact that venous endothelium is more sensitive to the initiation of an inflammatory response than arterial ECs tends to support the possibility that inflammation can contribute to the genesis of CVST [131].
Consequences of Cerebral Venous Thrombosis Once a thrombus obstructs venous flow, the subsequent pathophysiology in brain tissue comprises two components: brain edema due to venous congestion and intracranial hypertension due to obstruction of cerebrospinal fluid (CSF) circulation [132]. The brain edema associated with CVST is detected earlier than following an arterial cerebral infarction (edema usually detected within least 6 h of the infarction), which was evidenced by magnetic resonance imaging studies on the time course of edemagenesis after CVST [133]. We recently reported findings from a murine model of CVST that manifests an inflammatory response evidenced by increased inflammatory cytokine levels and leukocyte recruitment at 3 h after venous thrombosis as well as vasogenic edema detected 48 h after CVST induction [134]. In this experimental model of CVST, CBF, measured by laser Doppler flowmetry, is minimally (9.5% reduction) altered, compared to the 90% reduction in blood flow that accompanies the MCAO model of ischemic stroke. Collectively, these findings (early onset of brain edema and inflammation with little change in tissue perfusion) suggest that the underlying mechanism of the CVST injury response differs from that observed following an arterial cerebral infarction. The conventional view of how CVST leads to brain edema is venous congestion → cerebral perfusion insufficiency → hypoxia in brain cells → cytotoxic (intracellular) edema → inflammation → BBB disruption → vasogenic edema. However, our recent findings in experimental CVST [134] support a different mechanism: venous congestion → venous hypertension → EC injury due to stasis and increased venous pressure → inflammation → BBB disruption → vasogenic edema. Additional evidence for a contribution of
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
317
inflammation in the edema development following CVST is provided by an evaluation of the participation of activated protein C (APC) pathway in CVST-induced brain injury. APC is a potent anti-inflammatory as well as an antithrombotic factor. Immunoblockade of the APC pathway promotes CVST-induced edema, while genetic overexpression of the endothelial protein C receptor in mice blunts the brain edema response [134].
Conclusions There is a large and growing body of evidence that links inflammation to cerebrovascular diseases. An inflammatory response appears to underlie the genesis of vesseloccluding thrombi that occur in both the arterial and venous systems of the brain. Inflammation has also been linked to the BBB dysfunction and tissue injury that accompanies cerebrovascular diseases. A critical element of the inflammatory and injury responses in these conditions is EC activation, which corresponds to the initiation of molecular events that promote the recruitment and activation of inflammatory cells and platelets and eventually leads to endothelial barrier failure. The responses initiated by ECs are amplified and propagated by perivascular cells (microglia, astrocytes, mast cells) and the activation products (e.g., cytokines, ROS) that they contribute to the inflammatory milieu. Other cells (Tregs) work to counteract the deleterious effects of inflammatory cells by releasing their own anti-inflammatory mediators (e.g., IL-10). The intensity and duration of the inflammatory response elicited within the vasculature are therefore determined by the balance between these pro- and anti-inflammatory signals. An improved understanding of the inflammatory response and its contribution to brain injury offers hope for the development of novel therapeutic agents that are directed toward reducing the morbidity and mortality of cerebrovascular diseases.
References [1] Hossmann KA. Viability thresholds and the penumbra of focal ischemia. Ann Neurol 1994;36:557–65. [2] Markus R, Reutens DC, Kazui S, Read S, Wright P, Pearce DC, et al. Hypoxic tissue in ischaemic stroke: persistence and clinical consequences of spontaneous survival. Brain 2004;127:1427–36. [3] Wolburg H, Noell S, Mack A, Wolburg-Buchholz K, Fallier-Becker P. Brain endothelial cells and the glio-vascular complex. Cell Tissue Res 2009;335:75–96. [4] Dirnagl U, Iadecola C, Moskowitz MA. Pathobiology of ischaemic stroke: an integrated view. Trends Neurosci 1999;22:391–7. [5] European Stroke Organisation (ESO). Guidelines for management of ischaemic stroke and transient ischaemic attack. Cerebrovasc Dis 2008;25:457–507. [6] Sacco RL, Chong JY, Prabhakaran S, Elkind MS. Experimental treatments for acute ischaemic stroke. Lancet 2007;369:331–41. [7] Tanaka R, Komine-Kobayashi M, Mochizuki H, Yamada M, Furuya T, Migita M, et al. Migration of enhanced green fluorescent protein expressing bone marrow-derived
318
Neuroinflammation
microglia/macrophage into the mouse brain following permanent focal ischemia. Neuroscience 2003;117:531–9. [8] Schilling M, Besselmann M, Leonhard C, Mueller M, Ringelstein EB, Kiefer R. Microglial activation precedes and predominates over macrophage infiltration in transient focal cerebral ischemia: a study in green fluorescent protein transgenic bone marrow chimeric mice. Exp Neurol 2003;183:25–33. [9] Lindsberg PJ, Carpen O, Paetau A, Karjalainen-Lindsberg ML, Kaste M. Endothelial ICAM-1 expression associated with inflammatory cell response in human ischemic stroke. Circulation 1996;94:939–45. [10] Price CJS, Menon DK, Peters AM, Ballinger JR, Barber RW, Balan KK, et al. Cerebral neutrophil recruitment, histology, and outcome in acute ischemic stroke: an imagingbased study. Stroke 2004;35:1659–64. [11] Barone FC, Hillegass LM, Tzimas MN, Schmidt DB, Foley JJ, White RF, et al. Timerelated changes in myeloperoxidase activity and leukotriene B4 receptor binding reflect leukocyte influx in cerebral focal stroke. Mol Chem Neuropathol 1995;24:13–30. [12] Dong Y, Benveniste EN. Immune function of astrocytes. Glia 2001;36:180–90. [13] Lucas SM, Rothwell NJ, Gibson RM. The role of inflammation in CNS injury and disease. Br J Pharmacol 2006;147:232–40. [14] Ekdahl CT, Kokaia Z, Lindvall O. Brain inflammation and adult neurogenesis: the dual role of microglia. Neuroscience 2009;158:1021–9. [15] Yilmaz G, Arumugam TV, Stokes KY, Granger DN. Role of T lymphocytes and interferon-gamma in ischemic stroke. Circulation 2006;113:2105–12. [16] Ishikawa M, Cooper D, Arumugam TV, Zhang JH, Nanda A, Granger DN. Platelet– leukocyte–endothelial cell interactions after middle cerebral artery occlusion and reperfusion. J Cereb Blood Flow Metab 2004;24:907–15. [17] Hayward NJ, Elliott PJ, Sawyer SD, Bronson RT, Bartus RT. Lack of evidence for neutrophil participation during infarct formation following focal cerebral ischemia in the rat. Exp Neurol 1996;139:188–202. [18] Harris AK, Ergul A, Kozak A, Machado LS, Johnson MH, Fagan SC. Effect of neutrophil depletion on gelatinase expression, edema formation and hemorrhagic transformation after focal ischemic stroke. BMC Neurosci 2005;6:49. [19] Arumugam TV, Granger DN, Mattson MP. Stroke and T-cells. Neuromolecular Med 2005;7:229–42. [20] Liesz A, Suri-Payer E, Veltkamp C, Doerr H, Sommer C, Rivest S, et al. Regulatory T cells are key cerebroprotective immunomodulators in acute experimental stroke. Nat Med 2009;15:192–9. [21] Shichita T, Sugiyama Y, Ooboshi H, Sugimori H, Nakagawa R, Takada I, et al. Pivotal role of cerebral interleukin-17-producing gammadeltaT cells in the delayed phase of ischemic brain injury. Nat Med 2009;15:946–50. [22] Terao S, Yilmaz G, Stokes KY, Russell J, Ishikawa M, Kawase T, et al. Blood cellderived RANTES mediates cerebral microvascular dysfunction, inflammation, and tissue injury after focal ischemia-reperfusion. Stroke 2008;39:2560–70. [23] Liu L, Kubes P. Molecular mechanisms of leukocyte recruitment: organ-specific mechanisms of action. Thromb Haemost 2003;89:213–20. [24] Zhang R, Chopp M, Zhang Z, Jiang N, Powers C. The expression of P- and E-selectins in three models of middle cerebral artery occlusion. Brain Res 1998;785:207–14. [25] Ishikawa M, Cooper D, Russell J, Salter JW, Zhang JH, Nanda A, et al. Molecular determinants of the prothrombogenic and inflammatory phenotype assumed by the postischemic cerebral microcirculation. Stroke 2003;34:1777–82.
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
319
[26] Arumugam TV, Salter JW, Chidlow JH, Ballantyne CM, Kevil CG, Granger DN. Contributions of LFA-1 and Mac-1 to brain injury and microvascular dysfunction induced by transient middle cerebral artery occlusion. Am J Physiol Heart Circ Physiol 2004;287:2555–60. [27] Ishikawa M, Vowinkel T, Stokes KY, Arumugam TV, Yilmaz G, Nanda A, et al. CD40/ CD40 ligand signaling in mouse cerebral microvasculature after focal ischemia/reperfusion. Circulation 2005;111:1690–6. [28] Arumugam TV, Chan SL, Jo D, Yilmaz G, Tang S, Cheng A. Gamma secretasemediated Notch signaling worsens brain damage and functional outcome in ischemic stroke. Nat Med 2006;12:621–3. [29] Yenari MA, Sun GH, Kunis DM, Onley D, Vexler V. L-selectin inhibition does not reduce injury in a rabbit model of transient focal cerebral ischemia. Neurol Res 2001;23:72–8. [30] Bednar MM, Gross CE, Russell SR, Fuller SP, Ellenberger CL, Schindler E, et al. Humanized anti-L-selectin monoclonal antibody DREG200 therapy in acute thromboembolic stroke. Neurol Res 1998;20:403–8. [31] Connolly ES, Winfree CJ, Prestigiacomo CJ, Kim SC, Choudhri TF, Hoh BL, et al. Exacerbation of cerebral injury in mice that express the P-selectin gene: identification of P-selectin blockade as a new target for the treatment of stroke. Circ Res 1997;81:304–10. [32] Goussev AV, Zhang Z, Anderson DC, Chopp M. P-selectin antibody reduces hemorrhage and infarct volume resulting from MCA occlusion in the rat. J Neurol Sci 1998;161:16–22. [33] Huang J, Choudhri TF, Winfree CJ, McTaggart RA, Kiss S, Mocco J, et al. Postischemic cerebrovascular E-selectin expression mediates tissue injury in murine stroke. Stroke 2000;31:3047–53. [34] Mocco J, Choudhri T, Huang J, Harfeldt E, Efros L, Klingbeil C, et al. HuEP5C7 as a humanized monoclonal anti-E/P-selectin neurovascular protective strategy in a blinded placebo-controlled trial of nonhuman primate stroke. Circ Res 2002;91:907–14. [35] Morikawa E, Zhang SM, Seko Y, Toyoda T, Kirino T. Treatment of focal cerebral ischemia with synthetic oligopeptide corresponding to lectin domain of selectin. Stroke 1996;27:951–5. [36] Takeda H, Spatz M, Ruetzler C, McCarron R, Becker K, Hallenbeck J. Induction of mucosal tolerance to E-selectin prevents ischemic and hemorrhagic stroke in spontaneously hypertensive genetically stroke-prone rats. Stroke 2002;33:2156–63. [37] Chen Y, Ruetzler C, Pandipati S, Spatz M, McCarron RM, Becker K, et al. Mucosal tolerance to E-selectin provides cell-mediated protection against ischemic brain injury. Proc Natl Acad Sci USA 2003;100:15107–15112. [38] Kitagawa K, Matsumoto M, Mabuchi T, Yagita Y, Ohtsuki T, Hori M, et al. Deficiency of intercellular adhesion molecule 1 attenuates microcirculatory disturbance and infarction size in focal cerebral ischemia. J Cereb Blood Flow Metab 1998;18:1336–45. [39] Bowes MP, Rothlein R, Fagan SC, Zivin JA. Monoclonal antibodies preventing leukocyte activation reduce experimental neurologic injury and enhance efficacy of thrombolytic therapy. Neurology 1995;45:815–9. [40] Enlimomab Acute Stroke Trial Investigators. Use of anti-ICAM-1 therapy in ischemic stroke: results of the Enlimomab Acute Stroke Trial. Neurology 2001;57:1428–34. [41] Soriano SG, Coxon A, Wang YF, Frosch MP, Lipton SA, Hickey PR, et al. Mice deficient in Mac-1 (CD11b/CD18) are less susceptible to cerebral ischemia/reperfusion injury. Stroke 1999;30:134–9. [42] Bednar MM, Wright SD, Raymond-Russell SJ, Kohut JJ, Gross CE. IB4, a monoclonal antibody against the CD18 leukocyte adhesion protein, reduces intracranial pressure following thromboembolic stroke in the rabbit. Neurol Res 1996;18:171–5.
320
Neuroinflammation
[43] Matsuo Y, Onodera H, Shiga Y, Nakamura M, Ninomiya M, Kihara T, et al. Correlation between myeloperoxidase-quantified neutrophil accumulation and ischemic brain injury in the rat. Effects of neutrophil depletion. Stroke 1994;25:1469–75. [44] Zhao H, Dong X, Wang X, Li X, Zhuang F, Stoltz JF, et al. Studies on single-cell adhesion probability between lymphocytes and endothelial cells with micropipette technique. Microvasc Res 2002;63:218–26. [45] Prestigiacomo CJ, Kim SC, Connolly ES, Liao H, Yan SF, Pinsky DJ. CD18-mediated neutrophil recruitment contributes to the pathogenesis of reperfused but not nonreperfused stroke. Stroke 1999;30:1110–7. [46] Zhang L, Zhang ZG, Zhang RL, Lu M, Krams M, Chopp M. Effects of a selective CD11b/CD18 antagonist and recombinant human tissue plasminogen activator treatment alone and in combination in a rat embolic model of stroke. Stroke 2003;34:1790–5. [47] Krams M, Lees KR, Hacke W, Grieve AP, Orgogozo JM, Ford GA. Acute Stroke Therapy by Inhibition of Neutrophils (ASTIN): an adaptive dose–response study of UK-279,276 in acute ischemic stroke. Stroke 2003;34:2543–8. [48] Aghajanian A, Wittchen ES, Allingham MJ, Garrett TA, Burridge K. Endothelial cell junctions and the regulation of vascular permeability and leukocyte transmigration. J Thromb Haemost 2008;6:1453–60. [49] Ferrarese C, Mascarucci P, Zoia C, Cavarretta R, Frigo M, Begni B, et al. Increased cytokine release from peripheral blood cells after acute stroke. J Cereb Blood Flow Metab 1999;19:1004–9. [50] Allan SM, Rothwell NJ. Cytokines and acute neurodegeneration. Nat Rev Neurosci 2001;2:734–44. [51] Caso JR, Moro MA, Lorenzo P, Lizasoain I, Leza JC. Involvement of IL-1beta in acute stress-induced worsening of cerebral ischaemia in rats. Eur Neuropsychopharmacol 2007;17:600–7. [52] Yamasaki Y, Matsuura N, Shozuhara H, Onodera H, Itoyama Y, Kogure K. Interleukin-1 as a pathogenetic mediator of ischemic brain damage in rats. Stroke 1995;26:676–80. [53] Boutin H, LeFeuvre RA, Horai R, Asano M, Iwakura Y, Rothwell NJ. Role of IL-1alpha and IL-1beta in ischemic brain damage. J Neurosci 2001;21:5528–34. [54] Mulcahy NJ, Ross J, Rothwell NJ, Loddick SA. Delayed administration of interleukin-1 receptor antagonist protects against transient cerebral ischaemia in the rat. Br J Pharmacol 2003;140:471–6. [55] Amantea D, Russo R, Gliozzi M, Fratto V, Berliocchi L, Bagetta G, et al. Early upregulation of matrix metalloproteinases following reperfusion triggers neuroinflammatory mediators in brain ischemia in rat. Int Rev Neurobiol 2007;82:149–69. [56] Acalovschi D, Wiest T, Hartmann M, Farahmi M, Mansmann U, Auffarth GU, et al. Multiple levels of regulation of the interleukin-6 system in stroke. Stroke 2003;34:1864–9. [57] Clark WM, Rinker LG, Lessov NS, Hazel K, Hill JK, Stenzel-Poore M, et al. Lack of interleukin-6 expression is not protective against focal central nervous system ischemia. Stroke 2000;31:1715–20. [58] Loddick SA, Turnbull AV, Rothwell NJ. Cerebral interleukin-6 is neuroprotective during permanent focal cerebral ischemia in the rat. J Cereb Blood Flow Metab 1998;18:176–9. [59] Offner H, Subramanian S, Parker SM, Afentoulis ME, Vandenbark AA, Hurn PD. Experimental stroke induces massive, rapid activation of the peripheral immune system. J Cereb Blood Flow Metab 2006;26:654–65. [60] Gary DS, Bruce-Keller AJ, Kindy MS, Mattson MP. Ischemic and excitotoxic brain injury is enhanced in mice lacking the p55 tumor necrosis factor receptor. J Cereb Blood Flow Metab 1998;18:1283–7.
Inflammatory Mechanisms in Ischemic Cerebrovascular Disease
321
[61] Spera PA, Ellison JA, Feuerstein GZ, Barone FC. IL-10 reduces rat brain injury following focal stroke. Neurosci Lett 1998;251:189–92. [62] Vila N, Castillo J, Davalos A, Chamorro A. Proinflammatory cytokines and early neurological worsening in ischemic stroke. Stroke 2000;31:2325–9. [63] Yan YP, Sailor KA, Lang BT, Park SW, Vemuganti R, Dempsey RJ. Monocyte chemoattractant protein-1 plays a critical role in neuroblast migration after focal cerebral ischemia. J Cereb Blood Flow Metab 2007;27:1213–24. [64] Robin AM, Zhang ZG, Wang L, Zhang RL, Katakowski M, Zhang L, et al. Stromal cellderived factor 1alpha mediates neural progenitor cell motility after focal cerebral ischemia. J Cereb Blood Flow Metab 2006;26:125–34. [65] Shyu WC, Lin SZ, Yen PS, Su CY, Chen DC, Wang HJ, Li H. Stromal cell-derived factor-1 alpha promotes neuroprotection, angiogenesis, and mobilization/homing of bone marrow-derived cells in stroke rats. J Pharmacol Exp Ther 2008;324:834–49. [66] Chan PH. Reactive oxygen radicals in signaling and damage in the ischemic brain. J Cereb Blood Flow Metab 2001;21:2–14. [67] Ishikawa M, Stokes KY, Zhang JH, Nanda A, Granger DN. Cerebral microvascular responses to hypercholesterolemia: roles of NADPH oxidase and P-selectin. Circ Res 2004;94:239–44. [68] Zhang F, Xu S, Iadecola C. Time dependence of effect of nitric oxide synthase inhibition on cerebral ischemic damage. J Cereb Blood Flow Metab 1995;15:595–601. [69] Moro MA, Cárdenas A, Hurtado O, Leza JC, Lizasoain I. Role of nitric oxide after brain ischaemia. Cell Calcium 2004;36:265–75. [70] Pruss H, Prass K, Ghaeni L, Milosevic M, Muselmann C, Freyer D, et al. Inducible nitric oxide synthase does not mediate brain damage after transient focal cerebral ischemia in mice. J Cereb Blood Flow Metab 2008;28:526–39. [71] Marsh BJ, Williams-Karnesky RL, Stenzel-Poore MP. Toll-like receptor signaling in endogenous neuroprotection and stroke. Neuroscience 2009;158:1007–20. [72] Caso JR, Pradillo JM, Hurtado O, Lorenzo P, Moro MA, Lizasoain I. Toll-like receptor 4 is involved in brain damage and inflammation after experimental stroke. Circulation 2007;115:1599–608. [73] Lehnardt S, Lehmann S, Kaul D, Tschimmel K, Hoffmann O, Cho S, et al. Tolllike receptor 2 mediates CNS injury in focal cerebral ischemia. J Neuroimmunol 2007;190:28–33. [74] Tasaki K, Ruetzler CA, Ohtsuki T, Martin D, Nawashiro H, Hallenbeck JM. Lipopolysaccharide pre-treatment induces resistance against subsequent focal cerebral ischemic damage in spontaneously hypertensive rats. Brain Res 1997;748:267–70. [75] Stevens SL, Ciesielski TMP, Marsh BJ, Yang T, Homen DS, Boule J, et al. Toll-like receptor 9: a new target of ischemic preconditioning in the brain. J Cereb Blood Flow Metab 2008;28:1040–7. [76] Hua F, Ma J, Ha T, Kelley J, Williams DL, Kao RL, et al. Preconditioning with a TLR2 specific ligand increases resistance to cerebral ischemia/reperfusion injury. J Neuroimmunol 2008;199:75–82. [77] Mori E, del Zoppo GJ, Chambers JD, Copeland BR, Arfors KE. Inhibition of polymorphonuclear leukocyte adherence suppresses no-reflow after focal cerebral ischemia in baboons. Stroke 1992;23:712–8. [78] Yilmaz G, Granger DN. Leukocyte recruitment and ischemic brain injury. Neuromol Med 2010;12:193–204. Available from: http://dx.doi.org/10.1007/S12017-009-8074-1. [79] Tailor A, Cooper D, Granger DN. Platelet–vessel wall interactions in the microcirculation. Microcirculation 2005;12:275–85.
322
Neuroinflammation
[80] Massberg S, Enders G, Matos FC, Tomic LI, Leiderer R, Eisenmenger S, et al. Fibrinogen deposition at the postischemic vessel wall promotes platelet adhesion during ischemia-reperfusion in vivo. Blood 1999;94:3829–38. [81] Russell J, Cooper D, Tailor A, Stokes KY, Granger DN. Low venular shear rates promote leukocyte-dependent recruitment of adherent platelets. Am J Physiol Gastrointest Liver Physiol 2003;284:G123–9. [82] Carvalho-Tavares J, Hickey MJ, Hutchison J, Michaud J, Sutcliffe IT, Kubes P. A role for platelets and endothelial selectins in tumor necrosis factor-alpha-induced leukocyte recruitment in the brain microvasculature. Circ Res 2000;87:1141–8. [83] Salter JW, Krieglstein CF, Issekutz AC, Granger DN. Platelets modulate ischemia/ reperfusion-induced leukocyte recruitment in the mesenteric circulation. Am J Physiol Gastrointest Liver Physiol 2001;281:G1432–9. [84] Suzuki K, Sugimura K, Hasegawa K, Yoshida K, Suzuki A, Ishizuka K, et al. Activated platelets in ulcerative colitis enhance the production of reactive oxygen species by polymorphonuclear leukocytes. Scand J Gastroenterol 2001;36:1301–6. [85] Ritter LS, Stempel KM, Coull BM, McDonagh PF. Leukocyte–platelet aggregates in rat peripheral blood after ischemic stroke and reperfusion. Biol Res Nurs 2005;6:281–8. [86] Gavins F, Yilmaz G, Granger DN. The evolving paradigm for blood cell–endothelial cell interactions in the cerebral