Multiple Sclerosis -  - E-Book

Multiple Sclerosis E-Book

0,0
80,99 €

-100%
Sammeln Sie Punkte in unserem Gutscheinprogramm und kaufen Sie E-Books und Hörbücher mit bis zu 100% Rabatt.

Mehr erfahren.
Beschreibung

Multiple Sclerosis: a complex disease requiring sophisticated management Multiple Sclerosis poses labyrinthine challenges. There is no blood test to rely on for diagnosis; clinical acumen is essential. Yet an effective diagnosis only takes you part of the way: treatment offers further enigmas. The MS treatment landscape is complicated, and will become even more so with time. Multiple Sclerosis: Diagnosis and Therapy is the map you need to navigate this maze. Written and edited by leaders in the field, it guides you towards effective and positive choices for your patients. The diagnosis section provides state-of-the-art thinking about pathogenesis. With clear coverage of biomarkers, genetics, and imaging, it presents a coherent framework for making the correct diagnosis. The management section comprehensively covers current and future treatments to steer you through the many options for * Symptom management * Cognitive dysfunction * Depression and other mental health issues 'Top Tips' throughout provide the practical guidance you need for the best management of your patients. Multiple Sclerosis: Diagnosis and Therapy should be on the bookshelf of anyone who treats patients with multiple sclerosis.

Sie lesen das E-Book in den Legimi-Apps auf:

Android
iOS
von Legimi
zertifizierten E-Readern

Seitenzahl: 645

Veröffentlichungsjahr: 2012

Bewertungen
0,0
0
0
0
0
0
Mehr Informationen
Mehr Informationen
Legimi prüft nicht, ob Rezensionen von Nutzern stammen, die den betreffenden Titel tatsächlich gekauft oder gelesen/gehört haben. Wir entfernen aber gefälschte Rezensionen.



Contents

Cover

Title Page

Copyright

List of Contributors

Preface

Part I: Pathology and Diagnosis

Chapter 1: Disease Pathogenesis

Introduction

Clinical and pathologic heterogeneity of MS

What triggers MS?

Pathology of MS

Initiation of disease

Regulation/remission of disease

Disease Relapses

Disease Progression

Conclusion

References

Chapter 2: Biomarkers

Introduction

Body fluid sources of biomarkers

Molecular biomarkers

References

Chapter 3: Epidemiology and Genetics

Introduction: Risk Factors

Distribution of MS In Human Populations

Sunlight, Vitamin D, and MS

Infectious Agents and MS

Smoking and MS

Diet, Neuro-Endocrine and Other Factors

Integrating Environmental and Genetic Risk

Genetic Susceptibility in MS

The Major Histocompatibility Complex (MHC)

Non-MHC MS Susceptibility Alleles

The Next Decade of Multiple Sclerosis Risk Factors

References

Chapter 4: Diagnosis

Introduction

Initial presentation (Clinically Isolated Syndrome)

Making The Diagnosis

Diagnostic Criteria

Differential Diagnosis

Conclusion

References

Chapter 5: Pediatric Multiple Sclerosis and Acute Disseminated Encephalomyelitis

General Approach

Acute Disseminated Encephalomyelitis

Clinically Isolated Syndromes

Optic Neuritis

Neuromyelitis Optica

Conclusion

References

Chapter 6: Magnetic Resonance Imaging in Multiple Sclerosis

Introduction

T2-Hyperintense lesions

T1-Hypointense lesions

Blood–Brain Barrier Compromise

T1 and T2 shortening

Proton Magnetic Resonance Spectroscopy

Magnetization Transfer Imaging

Diffusion Imaging

T1 and T2 relaxometry

Brain Atrophy

Cortical lesions

Spinal Cord Imaging

Acknowledgments

References

Chapter 7: Predicting Clinical Course

Introduction

Measures of Disease Course

Relapsing-Onset/Progressive-Onset MS

Benign MS

Conclusion

References

Part II: Management

Chapter 8: Medication Treatment in Multiple Sclerosis

Introduction

FDA-approved medications

Others

Off Label MS Medications

Other Agents

In Development

Conclusion

References

Chapter 9: Symptom Management

Introduction

Fatigue

Spasticity

Ataxia and Tremor

Bladder Dysfunction

Bowel Dysfunction

Sexual Dysfunction

Pain

Gait

Alternative Medicine

Rehabilitation

Conclusion

References

Chapter 10: Cognitive Dysfunction in Multiple Sclerosis

Prevalence of Cognitive Dysfunction in MS

Pattern of Cognitive Dysfunction in MS

Longitudinal Changes

Impact of Depression and Fatigue

Treatment Strategies for Cognitive Dysfunction

Imaging Correlates of Cognitive Impairment in MS

Conclusion

References

Chapter 11: Depression and Other Psychosocial Issues in Multiple Sclerosis

Introduction

Psychological Problems Experienced by MS Patients

Treatment of Depression

Anxiety in MS

Screening for Mental Health Problems

Treatment of Mental Health Problems

Successful Adaptation to Multiple Sclerosis

Psychosocial Intervention in MS

Conclusion

References

Chapter 12: Future Therapeutic Approaches

Introduction

Therapeutic Targets for the Treatment of MS

MS biomarkers

Induction vs First-Line Therapy

Chronic/Sequential/Combination/Halting Therapy

Progressive Disease

Curing MS

Conclusion

References

Index

Colour Plates

This edition first published 2012, © 2012 by John Wiley & Sons, Ltd

Wiley-Blackwell is an imprint of John Wiley & Sons, formed by the merger of Wiley's global Scientific, Technical and Medical business with Blackwell Publishing.

Registered office: John Wiley & Sons, Ltd, The Atrium, Southern Gate, Chichester, West Sussex,PO19 8SQ, UK

Editorial offices: 9600 Garsington Road, Oxford, OX4 2DQ, UKThe Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK111 River Street, Hoboken, NJ 07030-5774, USA

For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com/wiley-blackwell

The right of the author to be identified as the author of this work has been asserted in accordance with the UK Copyright, Designs and Patents Act 1988.

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher.

Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. The publisher is not associated with any product or vendor mentioned in this book. This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is sold on the understanding that the publisher is not engaged in rendering professional services. If professional advice or other expert assistance is required, the services of a competent professional should be sought.

The contents of this work are intended to further general scientific research, understanding, and discussion only and are not intended and should not be relied upon as recommending or promoting a specific method, diagnosis, or treatment by physicians for any particular patient. The publisher and the author make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of fitness for a particular purpose. In view of ongoing research, equipment modifications, changes in governmental regulations, and the constant flow of information relating to the use of medicines, equipment, and devices, the reader is urged to review and evaluate the information provided in the package insert or instructions for each medicine, equipment, or device for, among other things, any changes in the instructions or indication of usage and for added warnings and precautions. Readers should consult with a specialist where appropriate. The fact that an organization or Website is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or Website may provide or recommendations it may make. Further, readers should be aware that Internet Websites listed in this work may have changed or disappeared between when this work was written and when it is read. No warranty may be created or extended by any promotional statements for this work. Neither the publisher nor the author shall be liable for any damages arising herefrom.

Library of Congress Cataloging-in-Publication Data

Multiple sclerosis : diagnosis and therapy / edited by Howard L. Weiner, James M. Stankiewicz.

p.; cm.

Includes bibliographical references and index.

ISBN-13: 978-0-470-65463-7 (hardcover : alk. paper)

ISBN-10: 0-470-65463-5

I. Weiner, Howard L. II. Stankiewicz, James M.

[DNLM: 1. Multiple Sclerosis–etiology. 2. Multiple Sclerosis–therapy. WL 360]

LC classification not assigned

616.8′34–dc23                                                            2011031415

List of Contributors

Rohit Bakshi, MD FAAN Laboratory for Neuroimaging Research Partners Multiple Sclerosis Center Brigham and Women's Hospital, Department of Neurology Harvard Medical School Boston, MA, USA

Brandon Brown, PharmD Novartis Pharmaceuticals West Roxbury, MA, USA

Guy J. Buckle, MD MPH Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

Antonia Ceccarelli, MD Laboratory for Neuroimaging Research Partners Multiple Sclerosis Center Brigham and Women's Hospital, Department of Neurology Harvard Medical School Boston, MA, USA

Varun Chaubal, MD Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

Tanuja Chitnis, MD Assistant Professor of Neurology Harvard Medical School; Director, Partners Pediatric Multiple Sclerosis Center Department of Pediatric Neurology Massachusetts General Hospital for Children Boston, MA, USA

Manuel Comabella, MD Centre d'Esclerosi Múltiple de Catalunya, CEM-Cat Unitat de Neuroimmunologia Clinica Hospital Universitari Vall d'Hebron (HUVH) Barcelona, Spain

Philip L. De Jager, MD, PhD Program in Translational NeuroPsychiatric Genomics Institute for the Neurosciences Department of Neurology Brigham and Women's Hospital and Harvard Medical School, Boston Program in Medical & Population Genetics Broad Institute of Harvard University and Massachusetts Institute of Technology Cambridge, MA, USA

Laura Edwards, PhD Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

Roopali Gandhi, PhD Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

Bonnie I. Glanz, PhD Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

Brian Healy, PhD Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

Maria K. Houtchens, MD, Msci Director, Women's Health Program Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

Jonathan S. Jackson, PhD Laboratory for Neuroimaging Research Partners Multiple Sclerosis Center Brigham and Women's Hospital, Department of Neurology Harvard Medical School Boston, MA, USA

Samia J. Khoury, MD, FAAN Jack, Sadie and David Breakstone Professor of Neurology Harvard Medical School Co-Director, Partners Multiple Sclerosis Center Brigham and Women's Hospital Boston, MA, USA

Maria Liguori, MD, PhD National Research Council Institute of Neurological Sciences Mangone, Italy Laboratory for Neuroimaging Research Partners Multiple Sclerosis Center Brigham and Women's Hospital, and Department of Neurology Harvard Medical School Boston, MA, USA

Mohit Neema, MD Laboratory for Neuroimaging Research Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

David J. Rintell, EdD Clinical Instructor in Psychiatry Partners Multiple Sclerosis Center Brigham and Women's Hospital Boston, MA, USA

Lynn Stazzone, RN, MSN, NP Partners Multiple Sclerosis Center Brigham and Women's Hospital Department of Neurology Harvard Medical School Boston, MA, USA

Preface

Until it was shown that immunosuppressive therapy could affect the course of multiple sclerosis (MS) in the early 1980s, the disease was considered to be untreatable. Today a patient receiving a diagnosis of MS has reason to hope. Great strides have been made in our understandings of MS in the last three decades and several drugs have now been approved by the FDA for the treatment of this disease. Because we now have treatments to offer, a diagnosis of MS can be made more frequently and often at earlier stages of the disease. A number of genetic loci involved in susceptibility to the disease have been identified. Immunologic discoveries continue, sometimes driven by treatments that are shown to confer protection from the disease. Although the T cell remains at center stage, the B cell now shares some of the limelight with other components of the immune system, such as dendritic cells and microglia. We are now able to profile the immune system for signatures that are characteristic of different stages of the disease. This ability will ultimately help us to administer a more individualized treatment, and increase our chances of success. We now have the first orally approved medication with others on the way.

Despite these advances, many challenges remain. MS is still the most common non-traumatic cause of disability in the young. More sophisticated imaging techniques have revealed that injury occurs early in the disease and that even tissue with a normal appearance can be damaged. MS can affect not only white matter, but gray matter. We now better appreciate how MS affects children, often causing cognitive and psychiatric challenges. Sometimes, notwithstanding our best efforts, the symptoms of MS remain and we have no medicine that can halt the progressive phase of the disease.

This book endeavors to define our current understanding of MS in terms of diagnosis and treatment, as well as its underlying pathophysiology. We continue to be deluged with clinical and research findings that expand our conception of the disease, and have done our best to provide an up-to-date, informative, and as engaging as possible view of MS in the current era. We hope it will also serve as a practical guide that can be used to help clinicians to provide the best possible care to patients.

Part I

Pathology and Diagnosis

Chapter 1

Disease Pathogenesis

Roopali Gandhi and Howard L. Weiner

Partners Multiple Sclerosis Center, Center for Neurologic Diseases, Brigham and Women's Hospital and Department of Neurology, Harvard Medical School, Boston, MA, USA

Introduction

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) that primarily affects young adults [1]. The role of immune system in MS is indisputable. The primary function of the immune system is to protect the body against myriad ever-evolving pathogens and it broadly falls into two categories the “innate immune system” and “adaptive immune system.” The important difference in the innate and adaptive arms of immunity is that the adaptive immune system is highly specific toward an antigen. The immune-mediated inflammation of MS was initially recognized in 1948 by Elvin Kabat who observed the presence of oligoclonal immunoglobulins in the cerebrospinal fluid from MS patients. In following years, great strides have been made in understanding the role of both adaptive and innate immune system in Experimental Autoimmune Encephalomyelitis (EAE, an animal model of MS) MS but it is not known the degree to which the adaptive and innate immune systems interact in MS.

In most instances, MS begins as a relapsing remitting disease that in many patients becomes secondary progressive. Approximately 10% of patients begin with a primary progressive form of the disease. Although primary progressive MS differs clinically and in treatment response from relapsing MS [2], it is somehow related as there are families in which one member has relapsing MS and another the primary progressive form. Not all patients enter the secondary progressive stage and, in addition to these, there are benign and malignant forms of MS. This heterogeneity of the clinical course may relate to changes that occur in the adaptive and innate immune system over the course of the illness (Figure 1.1). The progressive forms of the disease are the most disabling and are likely similar in terms of pathogenic mechanisms. Epidemiologic studies have raised the question whether relapses are related to or are independent from the development of progressive MS [3]. This raises the central question: will current therapy that is effective in reducing relapses also delay or prevent the onset of progression? The understanding of MS pathology and immune system helped us to design various treatment strategies for MS and, given this progress, we must now ask: “What would it mean to cure MS?” and “What is needed to achieve this goal?” [4]. When one examines these questions, it becomes clear that there are three definitions of “cure” as it relates to MS: (1) halt progression of the disease; (2) reverse neurologic deficits; and (3) develop a strategy to prevent MS. We are making progress in halting or slowing the progression of MS, have approaches that may help to reverse neurologic deficits, and, for the first time, are beginning to develop strategies to prevent MS.

Figure 1.1 Immune status and disease course in multiple sclerosis. MS involves a relapsing-remitting phase followed by a secondary progressive phase. The relapsing-remitting phase is characterized by clinical attacks, gadolinium enhancement on MRI, minimal disability, and is driven by the adaptive immune response. The secondary progressive phase is characterized by the progressive accumulation of disability in the absence of clinical attacks and is driven by the innate immune system. (Reproduced from Weiner [147] with permission from Wiley–Blackwell.)

Clinical and pathologic heterogeneity of MS

Multiple sclerosis is a nondescript term that refers to “multiple scars” that accumulate in the brain and spinal cord. MS is more a syndrome than a single disease entity and the MS syndrome has both clinical and pathologic heterogeneity [5, 6]. The clinical heterogeneity is reflected in the different types and stages of the disease. An important question in MS is the relationship of the progressive to relapsing forms. Devic disease appears to be an MS variant associated with antibodies to the aquaporin receptor [7, 8]. There are rare malignant forms including Marburg's variant, tumefactive MS and Balo's concentric sclerosis. An unanswered question relates to why benign forms of MS exist [9, 10]. Although some cases of MS are defined as benign, and progress with prolonged follow up [11] there are clearly benign forms of the disease. By definition patients with benign MS do not enter the progressive phase. The ability to identify benign or malignant MS early in the course of the illness is very important for treatment strategies. We compared brain parenchymal fraction (BPF) over a 2-year period in benign vs early relapsing-remitting MS matched for age and the EDSS and found that patients with benign MS had a smaller loss of BPF [12]. As it impinges on the EDSS, the majority of disability in MS relates to spinal cord dysfunction. The relationship between spinal cord changes and brain MRI changes is not well known, but changes in the medulla oblongata which reflect spinal cord can be visualized on brain MRI and may correlate with entering the progressive phase [13]. In addition, an HLA-DR2 dose effect may be associated with a more severe form of the disease [14].

What triggers MS?

The etiology of MS is still debatable but the current data suggests that environmental factors in genetically susceptible background can predispose an individual to MS. Family studies assessing the risk of relatives suggests that first-degree relatives are 10–25 times at greater risk of developing MS than the general population [15–17]. The strongest genetic effect is correlated with HLA haplotypes. For instance HLA*1501, HLA-DRB1*0301, HLA-DRB1*0405, HLA-DRB1*1303, HLA-DRB1*03, HLA-DRB1*01, HLA-DRB1*10, HLA-DRB1*11, HLA-DRB1*14 and HLA-DRB1*08 have been shown to have either positive or negative association with MS [15]. Ethnicity and sex are other contributors in susceptibility to MS. The white population is more susceptible to disease than the African American population and women are at higher risk of developing MS than men [18], which is not associated with any MS-related gene present on the X chromosome but is more correlated with female physiology and hormones [19]. Other potential environmental risk factors are infections, vaccination, climate, and diet. Infections are considered the most common risk factor for MS as many infections and antibodies generated in response to these infections are present in sera or the cerebrospinal fluid (CSF) of MS patients at higher titers than controls. Epstein–Barr virus (EBV) is of great interest as >99% of MS patients and approximately 94% of age-matched controls are infected with EBV and increased antibody titers to EBV nuclear antigen 1 (EBNA-1) antigen are reported in MS [20, 21]. Other infectious agents linked to MS etiology are herpes virus 6, retroviruses and Chlamydia pneumonia [22]. Evidence for association of Chlamydia pneumonia with MS is debatable, as contradictory presence of this virus has been reported by different groups [23–26]. Decreased sunlight exposure, vitamin D level, and vitamin intake are also associated with MS incidence or protection [27, 28]. In addition, studies using different cohorts of MS patients have shown a strong association between smoking and MS [29, 30]. The etiology of MS is discussed in detail in the Chapter 3.

Top Tips 1.1: Risk factors for MS

• HLA susceptible genes• Climate• Ethnicity• Gender• Infections• Smoking• Vaccinations• Diet

Pathology of MS

The pathology of MS lesion is defined by the presence of large, multifocal, demyelinated plaques, oligodendrocyte loss, and axonal degeneration. During the early development of MS lesions, the integrity of the blood–brain barrier is compromised, permitting the invasion of monocytes and T cells to the brain parenchyma. Mononuclear cells including activated microglia and peripheral monocytes are the primary cells involved in the demyelination of MS lesions. According to Trapp's classification, MS lesions are categorized into three groups, active (acute), chronic active, and chronic inactive. Active and chronic active lesions are characterized by the presence of evenly distributed MHC class II positive cells [31]. Chronic active plaques are characterized by the presence of MHC class II and myelin lipid positive cells that are distributed perivascularly [31], whereas, chronic inactive lesion have few MHC class II positive cells [31] (Figure 1.2). Microarray results of autopsies from acute/active vs chronic silent lesions revealed a number of differentially expressed genes present only in active lesions [32]. These differentially expressed genes are mostly related to cytokines and their associated downstream pathways [32]. According to another classification based upon a broad spectrum of immunological and neurological markers on a large set of MS pathological samples, MS lesions were characterized into four different patterns. Patterns I and II are defined by the T cell and macrophage-mediated inflammation where pattern II exclusively showed antibody and complement dependent demyelination [33]. Pattern III lesions also contained T cells and macrophages and are defined by distal oligodendrogliopathy [33]. Pattern IV is characterized by the complete loss of oligodendrocyte in addition to the presence of inflammatory infiltrates mostly dominated by T cells and macrophages [33] (Plate 1.1).

Figure 1.2 Schematic illustration (artistic rendition) of the distribution of MHC class II positive cells in active and chronic active MS lesions (A and B). Each dot represents an MHC class II positive cell. In active demyelinating lesions (A), MHC class II positive cells are evenly distributed throughout the lesion. In chronic active lesions (B), MHC class II positive cells are more concentrated at the lesion edge than within the lesion. Free-floating sections (30 μm thick) from MS brains stained with MHC class II antibody (C–F) demonstrate the morphological changes of parenchymal MHC class II positive cells that are located outside the lesion (C), near the edge of (D), at the edge of (E), and in the center of the demyelinated region (F). MHC class II positive cells closer to the lesion sites are rounder, larger than cells that are further away from the lesion site and extend fewer and shorter processes. Scale bar = 30 μm. (Reproduced from Trapp et al. [31] with permission from Elsevier.)

We have identified a unique pattern of antibody reactivities to the CNS and lipid antigens in these pathological subtypes of MS patients [34]. In addition to these lesions in white matter, gray matter can be involved with evidence of brain cortical lesions or spinal cord gray matter involvement [35]. These lesions are characterized by less inflammatory infiltrates, microglial cell activation, and astrogliosis than white matter lesions and are independent of white matter lesions [36–38]. Regarding the role of B cells in MS pathology, postmortem analysis of brain tissue from secondary progressive patients, in which the initial relapsing-remitting phase was followed by a progressive phase, showed the formation of secondary B cell follicles containing germinal centers in the inflamed cerebral meninges [39] and the authors suggest that follicular positive SPMS patients have more severe disease [40], although this has yet to be confirmed. Investigation of MS pathology has provided targets for disease therapy, which are primarily directed at reduction of inflammatory cells invading the CNS.

Initiation of disease

(Th1/Th17) T cells

CD4+ Pathogenic T cells

Upon antigenic stimulation, naïve CD4+ T cells activate, expand and differentiate into distinct subsets of T cells which are characterized by the production of different cytokines upon activation [41]. It is generally believed that acute MS lesions are initiated by a myelin reactive CD4+ T cell that is stimulated in the periphery and enters the brain and spinal cord (Figure 1.3). These CD4+ T cells have previously been felt to be IFN-γ secreting Th1 cells as IFN-γ was found to be present at the site of inflammation [42–45] and adoptive transfer of Th1 cells were able to transfer the disease [46]. However, it was found later that IFN-γ deficient mice are not resistant but highly susceptible to organ-specific autoimmune diseases [47]. It is now recognized that Th17 cells play a crucial role in autoimmunity in the experimental allergic encephalomyelitis (EAE) model [48] and increased numbers of Th17 cells have also been identified in MS [49]. Both types of pathogenic cell (Th1 and Th17] most probably play a role in MS and could account for the immunologic and clinical heterogeneity of the disease [50]. Immunohistochemical examinations of the brain demonstrate Th1/Th17 immune responses [51]. Th1 vs Th17 responses have been associated with different types of EAE [50]. TGF-β, a central cytokine in the induction of regulatory T cells, induces Th17 cells when combined with IL-6 [52]. Anti-IL-6 therapy is being investigated for the treatment of autoimmunity.

Figure 1.3 Immune pathways and adaptive immunity in the initiation of MS. MS is initiated by myelin reactive inflammatory T cells that cross the blood brain barrier and initiate an inflammatory cascade in the CNS. These inflammatory T cells are modulated by regulatory T cells both inside and outside the CNS. B cells may influence both inflammatory and regulatory T cells. (Reproduced from Weiner [147] with permission from Wiley–Blackwell.)

CD8+ Pathogenic T cells

These cells are another subset of T cells that mostly provide defense against viral infections using cytotoxic weapons. Although CD8+ T cells have not been at the forefront of thinking in MS, CD8+ T cells are found in MS lesions at a higher frequency and CD8+ T cells reactive to myelin antigens have been reported in MS. It is likely that CD8+ T cells play a role in MS and also contribute to disease heterogeneity [53, 54]. CD8+ T cells are also well poised to contribute directly to demyelination and axonal loss during inflammation by expression of various cytotoxic molecules (e.g. perforin and granzyme B) as well as death receptor ligands (e.g. FasL, TNF-α, TNF-related molecules). CD8+ T cells isolated from brain lesions show evidence of antigen-driven clonal expansion [55]. T cell lines generated from CD8+ T cell clones isolated from MS patients and healthy controls could mediate MHC class I restricted lysis of oligodendrocytes [56]. CD8+ T cells could also target other CNS resident cells including microglia, astrocytes, and neurons [57] suggesting a pathogenic potential of these cells in MS biology. The same group also observed the close proximity of granzyme B expressing CD8+ T cells to injured axons in MS lesions, which furthermore emphasizes their role in the direct cytotoxicity of axons [57]. The importance of CD4+ and CD8+ T cells in EAE was compared in CD4 and CD8 knockout mice in a MOG-DBA/1 model. CD8-/- mice had reduced demyelination and CNS inflammation compared to wild type animals. CD4-/- animals, however, were refractory to EAE induction, suggesting a pathogenic role for CD8+ T cells [58]. Furthermore, CD8+ T cells are also able to contribute toward the secretion of IL-17 [59] and IFN-γ [57], which, as discussed above, are the important cytokines involved in disease pathology. These observations suggest that both CD4+ and CD8+ T cells are capable of playing pathogenic roles and their relative contribution might be responsible for disease heterogeneity.

B cells and antibodies

B cells are another essential component of an adaptive immune system, which mediates immunity against pathogens by the secretion of antigen-specific antibodies and by acting as an antigen presenting the cells required for T cell differentiation. Like T cells, B cells are also efficient in the production of various cytokines including IL-1, IL-4, IL-6, IL-10, IL-12, IL-23 and IL-16 [60, 61]. Antibodies secreted by B cells or immune complexes can also activate other antigen-presenting cells like dendritic cells (DCs) and macrophages through the Fc receptor (Figure 1.3). Although autoantibodies (antibodies against self-antigens) have been reported in MS, there is no evidence that there are high affinity pathogenic antibodies in MS as in other antibody mediated autoimmune diseases such as myasthenia gravis [62]. Antibodies to myelin components, however, may participate in myelin loss [63]. A classic finding in MS is increased locally produced IgG and oligoclonal bands in the CSF, the pathogenic significance of which remains unknown. Treatment with rituximab, a monoclonal antibody that deletes B cells, dramatically reduces inflammatory disease activity as measured by MRI without affecting immunoglobulin levels, demonstrating a clear role for B cells in relapsing forms of MS [64]. The almost immediate response to rituximab suggests that B cells are either affecting T cell regulation via their antigen presentation function or by directly participating in lesion formation. B cells may have both anti-inflammatory and pro-inflammatory functions [60, 65].

Regulation/remission of disease

Regulatory cells

CD4+ and CD8+ regulatory T cells

It is now clear that the adaptive immune system consists of a network of regulatory T cells (Tregs) [66]. Regulatory T cells mediate active suppression of self-antigen specific T cell responses and in the maintenance of peripheral tolerance [67, 68]. Regulatory T cells can broadly be classified as natural Tregs and induced Tregs. Foxp3 is the major transcription factor for Tregs. CD25 marks natural Tregs and TGF-β induces Treg differentiation. Th3 cells are induced Tregs that secrete TGF-β [69] and Tr1 cells are induced Treg cells that secrete IL–10 [70]. Defects in regulatory T cell percentages [71, 72] and function have been described in MS [73–75] and a major goal of MS immunotherapy is to induce regulatory cells in a physiologic and nontoxic fashion [76–77]. Th2 cells which are recognized by secretion of IL-4, IL-5, and IL-13, may also have regulatory T cell function as patients with parasitic infections that induce Th2 type responses have a milder form of MS [78]. Experimental data suggests that regulatory cells may not be effective if there is ongoing CNS inflammation [79]. We have taken the approach of using the mucosal immune system to induce regulatory cells and have found that oral anti-CD3 monoclonal antibody [80], and ligands that bind the aryl hydrocarbon receptor induce TGF-β dependent regulatory T cells that suppress EAE and provide a novel avenue for treating MS [81, 82]. The regulatory function of CD8+ T cells is mostly ascribed to a population of T cells lacking expression of CD28 on their cell surface. These cells induce regulatory effect in a MOG-induced EAE model via induction of tolerogenic dendritic cells which in turn induces CD4+ and CD8+ regulatory T cell subpopulations [83–85]. Another interesting regulatory population in CD8+ T cell subset is CD8+CD122+ T cells which mediate suppressive effects via IL-10 [85, 86]. The human counterpart of this population is recognized as CD8+CXCR3+ [87]. Depletion of CD8+CD122+ T cells increased the duration of disease symptoms. Conversely, transfer of this population ameliorated the disease in the MOG EAE model on a C57BL/6 background, suggesting a protective role of this population [88]. In addition, we have described the existence of a novel LAP+CD8+ T cell population that exhibited regulatory properties in EAE mice in a TGF-β and IFN-γ dependent manner [89].

Disease Relapses

Disease relapses/exacerbation are the defining feature of the relapsing-remitting form of MS and reflect focal inflammatory events in the CNS. Relapse events occur on average 1.1 times per year during the early course of disease and decrease as the disease advances with increasing neurologic symptoms and age [90]. Disease relapse could last for a week to months or even more. Thus it's important to identify the conditions that could trigger relapse to determine if preventative measures could be taken to avoid relapse. A strong correlation was found between upper respiratory tract infections and MS relapses [91, 92]. This study confirmed that two-thirds of the attacks occur during a period of risk (the interval 1 week before and 5 weeks after the initiation of URI symptoms) and attack rates were 2.92 per year at risk compared to 1.16 per year when not at risk [92]. Another longitudinal study with 73 patients also confirmed these results, showing an increased attacks rate (rate ratio 2.1) during the period of risk that was associated with an increase in the number of gadolinium-enhancing regions suggesting that systemic infections result in more sustained damage than other disease exacerbations [93]. No specific virus was identified among these studies. Viral infection is associated with activation of autoreactive T cells through molecular mimicry (T cell reactive to viral antigen cross-react with self-antigen) [94], epitope spreading (release of sequestered antigen secondary to tissue destruction mediated by viral antigen) [95, 96], and viral superantigens (nonspecific stimulation of autoreactive T cells) (Figure 1.4) [97]. Similarly, inflammatory cytokines like TNF-α and IFN-γ also increase during disease relapses [98]. Thus treatments targeting or controlling these cytokine responses should help to reduce relapse rates. Blocking TNF-α using antibodies or soluble receptors could decrease disease severity in murine EAE but has a worsening effect in MS patients [99–101]. Other factors that contribute toward disease relapse include a stressful life event [102, 103], pregnancy [104], and high-dose cranial radiation [105, 106]. Based upon studies describing important factors in the initiation, relapse, and progression of the disease it appears that lifestyle changes (including stress management, diet, exercise, smoking, alcohol consumption) in combination with anti-inflammatory therapy can modify the disease activity and should be suggested to MS patients.

Figure 1.4 Disease relapse. (1) Cells reactive to a viral antigen can cross react to myelin self-antigen (molecular mimicry) and initiate a self-reactive immune response. (2) Inflammatory T cells that enter the CNS initiate a complex immunologic cascade consisting of epitope spreading which triggers new attacks through activation of more self-reactive T cells (epitope spreading). (3) Nonspecific activation of autoreactive T cells through cytokines released during an immune response against viral infection (viral super antigens). Dashed arrows indicate activation of T cells and dotted arrows suggest inflammation mediated by T cells through cytokine secretion and by direct damage of myelin sheath. (Reproduced from Weiner [147] with permission from Wiley–Blackwell.)

Disease Progression

Activation of the Innate Immune System

The innate immune system consists of dendritic cells, monocytes, microglia, natural killer (NK), and mast cells. It is increasingly recognized that the innate immune system plays an important role in the immunopathogenesis of MS. Although the secondary progressive phase of MS may be related to neuorodegenerative changes in the CNS, it is now clear that the peripheral innate immune system changes when patients transition from the relapsing-remitting to the progressive stage. We found increased expression of osteopontin and costimulatory (CD40) [107] molecules and decreased expression of IL-27 (unpublished) in dendritic cells isolated from relapsing MS. Coversely, we observed abnormalities in the expression of CD80 and secretion of IL-12 and IL-18 in the dendritic cells from progressive patients [108–110]. Chronic microglial activation also occurs in MS [111] and this activation contributes to MS and EAE pathology via secretion of various pro-inflammatory cytokines and through antigen presentation [112]. Persistent activation of microglial cells has also been observed in the chronic phase of relapsing-remitting EAE and a correlation has been found between activated microglia and the loss of neuronal synapses [113]. Natural killer (NK) cells, another component of innate immune cells, are present in demyelinating lesions of patients with MS [114] and are thought to play a protective role through the production of various neurotrophic factors [115] and cytokines. An increase in IL-5 and IL-13 secreting “NK2” subpopulation was observed in MS patients in remission compared to patients in relapse, suggesting that the NK2 subpopulation may have a beneficial role in maintaining the remission phase [116]. The same subset of NK cells seemed to negatively regulate the activation of antigen-specific autoreactive T cells [117]. In addition, a decreased cytotoxic activity of circulating NK cells has been described in patients with MS in their clinical relapses [118, 119]. We have recently described a reduction of another subpopulation of NK cells, characterized as CD8dimCD56+CD3-CD4-, in untreated subjects with MS as well as clinical isolated syndrome (CIS) [120]. Treatment with immunomodulatory and immunosuppressant therapies, like daclizumab [121], interferon-β [122], and cyclophosphamide [123] show a beneficial effect through their action on a CD56bright NK cell subset in MS. Mast cells contain cytoplasmic granules rich in histamine and are known for their role in allergic and anaphylactic response. These cells can interact with the innate and acquired immune systems, including dendritric cells, neutrophils, and T and B lymphocytes [124–126]. In MS, histopathological analysis showed an accumulation of mast cells in MS plaques and normal appearing white matter [127, 128]. In addition, the mast cell specific enzyme tryptase is elevated in the CSF of MS patients [129] along with other mast-cell-specific genes in MS plaques.

Figure 1.5 Inflammatory T cells that enter the CNS initiate a complex immunologic cascade consisting of cytokine secretion and exposure of new self-antigens that could triggers new attacks through activation of the innate immune system (microglia, dendritic cells, astrocytes, B cells), which leads to chronic CNS inflammation. (Reproduced from Weiner [147] with permission from Wiley–Blackwell.)

In summary, the immunopathogenesis of MS integrates both limbs of the immune system and links them to different disease stages and processes. Thus, the adaptive immune system drives acute inflammatory events (attacks, gadolinium enhancement on MRI) whereas innate immunity drives progressive aspects of MS. A major question is whether aggressive and early anti-inflammatory treatment will prevent the secondary progressive form of the disease. There is some evidence that this is occurring; studies are beginning to show that treatment with interferons delays the onset of the progressive stage [130]. Of note, there is a form of EAE driven by the innate, rather than the adaptive, immune system [131]. There are no specific therapies designed to affect the innate immune system in MS, and efforts to investigate the innate immune system in MS and characterize it are now being explored to determine how the innate immune system relates to the disease stage and response to therapy. Furthermore, like the adaptive immune system, there are different classes of innate immune responses, e.g. protective and tolerogenic vs pathogenic and pro-inflammatory.

TOP TIPS 1.2: Immune cell involvement in MS pathogenesis

Decreased percentages of CD4+ regulatory T cellsIncreased frequency of Th1 and Th17 CD4+ T cellsCD8+ T cellsB cellsActivated dendritic cellsNatural killer cellsMicroglial cells and monocytes

Neurodegeneration in MS

Axonal and myelin loss are prominent pathologic features of MS [132] and can be directly caused by immune cells (e.g. cytotoxic CD8 cells damaging neurons or macrophages stripping myelin from the axon [133]); or can result from release of toxic intermediates (e.g. glutamate, nitric oxide). These intermediates can trigger immune cascades that further enhance inflammatory-mediated CNS damage. Thus, glutamate and nitric oxide can lead to enhanced expression of CCL2 on astrocytes which, in turn, leads to infiltration of CD11b cells and additional tissue damage [134]. AMPA antagonists have been shown to have an ameliorating affect in acute EAE models [135, 136] and we have found that a carbon-based fullerene linked to an NMDA receptor with anti-excitotoxic properties slows progression and prevents axonal damage in the spinal cord in a model of chronic progressive EAE [134]. Although the compound is not an immune compound, it reduces the infiltration of CD11b cells into the CNS. Another important component of neurodegeneration relates to changes in sodium channels, suggesting that these could be potential therapeutic targets [137].

Top Tips 1.3: Potential therapeutic pathways for the treatment of MS

• Decease Th1/Th17 cells• Affect innate immunity• Induce regulatory T cells• Provide neuroprotection• Prevent lymphocyte trafficking• Promote remyelin• Deplete B cells

Conclusion

In summary, MS represents an immune cell mediated neurologic syndrome rather than a single disease entity that has both clinical and pathologic heterogeneity [5, 6]. A major tool to address the pathological heterogeneity of MS and devise appropriate treatment strategies is to develop reliable biomarkers. MRI has served as the primary biomarker for MS [138] and although conventional imaging does not link strongly to clinical outcomes, every FDA-approved MS drug has shown efficacy on MRI outcomes. Advances in magnetic resonance imaging are beginning to better define MS and its heterogeneity. We have also developed a Magnetic Resonance Disease Severity Scale (MRDSS) which combines multiple measures to provide an index of disease severity and progression as measured by MRI [139]. The addition of spinal cord imaging and gray matter involvement to the MRDSS should enhance its value as a biomarker. In addition, we and others have shown immune measures that are associated with disease activity and MRI activity [140–142]. RNA profiling is beginning to identify gene expression patterns associated with different forms of MS and disease progression [143, 144]. In addition, we have demonstrated unique serum immune signatures linked to different stages and pathologic processes in MS that could provide a new avenue to understand disease heterogeneity, to monitor MS, and to characterize immunopathogenic mechanisms and therapeutic targets in the disease.

A complex disease such as MS will require treatment(s) that can affect multiple pathways, including (1) suppression of Th1/Th17 responses, (2) induction of Tregs, (3) altering the traffic of cells into the CNS, (4) protecting axons and myelin from degeneration initiated by inflammation that affects the innate immune system. If multiple drugs are required to achieve this effect, we must be certain that one treatment does not interfere with another. For example, it has been reported that statins may interfere with the action of interferons [145]. Because of disease heterogeneity, there will be responders and nonresponders to each “effective” therapy and the earlier that treatment is initiated, the more likely it is to be effective. Inherent in the concept of curing MS by halting progression is the ability to demonstrate that progression has been halted in a group of patients and to identify those factors associated with preventing the onset of progressive disease. We have thus initiated the CLIMB natural history study in which more than 2000 patients with MS will be followed over a period of time with clinical evaluation, MRI studies, and immune and genetic markers, to identify the factors that are associated with the various stages of the disease and disease progression [146]. We believe that the identification of such factors may lead to the stratification of MS patients into smaller subclinical groups with defined common mechanisms of initiation of disease, inflammation, and demyelination during the disease progression that could help in designing/selecting subtype-specific treatment.

References

1. McFarland HF, Martin R. Multiple sclerosis: a complicated picture of autoimmunity. Nat Immunol 2007 Sep; 8(9): 913–19.

2. Miller DH, Leary SM. Primary-progressive multiple sclerosis. Lancet Neurol 2007 Oct; 6(10): 903–12.

3. Confavreux C, Vukusic S, Moreau T, et al. Relapses and progression of disability in multiple sclerosis. N Engl J Med 2000 Nov; 343(20): 1430–8.

4. Weiner H. Curing MS How Science is Solving the Mysteries of Multiple Sclerosis. New York: Crown Publishers; 2004.

5. Lassmann H, Bruck W, Lucchinetti CF. The immunopathology of multiple sclerosis: an overview. Brain Pathol 2007 Apr; 17(2): 210–18.

6. Breij EC, Brink BP, Veerhuis R, et al. Homogeneity of active demyelinating lesions in established multiple sclerosis. Ann Neurol 2008 Jan; 63(1): 16–25.

7. Hinson SR, Roemer SF, Lucchinetti CF, et al. Aquaporin-4-binding autoantibodies in patients with neuromyelitis optica impair glutamate transport by down-regulating EAAT2. J Exp Med 2008 Oct; 205(11): 2473–81.

8. Misu T, Fujihara K, Kakita A, et al. Loss of aquaporin 4 in lesions of neuromyelitis optica: distinction from multiple sclerosis. Brain 2007 May; 130(Pt 5): 1224–34.

9. Ramsaransing GS, De Keyser J. Benign course in multiple sclerosis: a review. Acta Neurol Scand 2006 Jun; 113(6): 359–69.

10. Pittock SJ, McClelland RL, Mayr WT, et al. Clinical implications of benign multiple sclerosis: a 20-year population-based follow-up study. Ann Neurol 2004 Aug; 56(2): 303–6.

11. Hawkins SA, McDonnell GV. Benign multiple sclerosis? Clinical course, long term follow up, and assessment of prognostic factors. J Neurol Neurosurg Psychiat 1999 Aug; 67(2): 148–52.

12. Gauthier S, Berger AM, Liptak Z, et al. Benign MS is characterized by a lower rate of brain atrophy as compared to early MS. Arch Neurol 2008.

13. Liptak Z, Berger AM, Sampat MP, et al. Medulla oblongata volume: a biomarker of spinal cord damage and disability in multiple sclerosis. Am J Neuroradiol 2008 Sep; 29(8): 1465–70.

14. Barcellos LF, Oksenberg JR, Begovich AB, et al. HLA-DR2 dose effect on susceptibility to multiple sclerosis and influence on disease course. Am J Hum Genet 2003 Mar; 72(3): 710–6.

15. Trapp BD, Nave KA. Multiple sclerosis: an immune or neurodegenerative disorder? Annu Rev Neurosci 2008; 31: 247–69.

16. Sadovnick AD, Baird PA, Ward RH. Multiple sclerosis: updated risks for relatives. Am J Med Genet 1988 Mar; 29(3): 533–41.

17. Ebers GC, Sadovnick AD, Dyment DA, Yee IM, Willer CJ, Risch N. Parent-of-origin effect in multiple sclerosis: observations in half-siblings. Lancet 2004 May; 363(9423): 1773–4.

18. Wallin MT, Page WF, Kurtzke JF. Multiple sclerosis in US veterans of the Vietnam era and later military service: race, sex, and geography. Ann Neurol 2004 Jan; 55(1): 65–71.

19. Whitacre CC. Sex differences in autoimmune disease. Nat Immunol 2001 Sep; 2(9): 777–80.

20. Sundstrom P, Juto P, Wadell G, Hallmans G, Svenningsson A, Nystrom L, et al. An altered immune response to Epstein-Barr virus in multiple sclerosis: a prospective study. Neurology 2004 Jun; 62(12): 2277–82.

21. 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 May; 293(20): 2496–500.

22. Marrie RA. Environmental risk factors in multiple sclerosis aetiology. Lancet Neurol 2004 Dec; 3(12): 709–18.

23. Layh-Schmitt G, Bendl C, Hildt U, Dong-Si T, Juttler E, Schnitzler P, et al. Evidence for infection with Chlamydia pneumoniae in a subgroup of patients with multiple sclerosis. Ann Neurol 2000 May; 47(5): 652–5.

24. Munger KL, Peeling RW, Hernan MA, Chasan-Taber L, Olek MJ, Hankinson SE, et al. Infection with Chlamydia pneumoniae and risk of multiple sclerosis. Epidemiology 2003 Mar; 14(2): 141–7.

25. Sriram S, Stratton CW, Yao S, Tharp A, Ding L, Bannan JD, et al. Chlamydia pneumoniae infection of the central nervous system in multiple sclerosis. Ann Neurol 1999 Jul; 46(1): 6–14.

26. Numazaki K, Chibar S. Failure to detect Chlamydia pneumoniae in the central nervous system of patients with MS. Neurology 2001 Aug; 57(4): 746.

27. Munger KL, Zhang SM, O'Reilly E, Hernan MA, Olek MJ, Willett WC, et al. Vitamin D intake and incidence of multiple sclerosis. Neurology 2004 Jan; 62(1): 60–5.

28. Munger KL, Levin LI, Hollis BW, Howard NS, Ascherio A. Serum 25-hydroxyvitamin D levels and risk of multiple sclerosis. JAMA 2006 Dec; 296(23): 2832–8.

29. Riise T, Nortvedt MW, Ascherio A. Smoking is a risk factor for multiple sclerosis. Neurology 2003 Oct; 61(8): 1122–4.

30. Hedstrom AK, Sundqvist E, Baarnhielm M, Nordin N, Hillert J, Kockum I, et al. Smoking and two human leukocyte antigen genes interact to increase the risk for multiple sclerosis. Brain 2011 Mar; 134(Pt 3): 653–64.

31. Trapp BD, Bo L, Mork S, Chang A. Pathogenesis of tissue injury in MS lesions. J Neuroimmunol 1999 Jul; 98(1): 49–56.

32. Lock C, Hermans G, Pedotti R, Brendolan A, Schadt E, Garren H, et al. Gene-microarray analysis of multiple sclerosis lesions yields new targets validated in autoimmune encephalomyelitis. Nat Med 2002 May; 8(5): 500–8.

33. Lucchinetti C, Bruck W, Parisi J, Scheithauer B, Rodriguez M, Lassmann H. Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination. Ann Neurol 2000 Jun; 47(6): 707–17.

34. Quintana FJ, Farez MF, Viglietta V, Iglesias AH, Merbl Y, Izquierdo G, et al. Antigen microarrays identify unique serum autoantibody signatures in clinical and pathologic subtypes of multiple sclerosis. Proc Natl Acad Sci U S A 2008 Dec; 105(48): 18889–94.

35. Wegner C, Stadelmann C. Gray matter pathology and multiple sclerosis. Curr Neurol Neurosci Rep 2009 Sep; 9(5): 399–404.

36. Pirko I, Lucchinetti CF, Sriram S, Bakshi R. Gray matter involvement in multiple sclerosis. Neurology 2007 Feb; 68(9): 634–42.

37. Brink BP, Veerhuis R, Breij EC, van der Valk P, Dijkstra CD, Bo L. The pathology of multiple sclerosis is location-dependent: no significant complement activation is detected in purely cortical lesions. J Neuropathol Exp Neurol 2005 Feb; 64(2): 147–55.

38. van Horssen J, Brink BP, de Vries HE, van der Valk P, Bo L. The blood--brain barrier in cortical multiple sclerosis lesions. J Neuropathol Exp Neurol 2007 Apr; 66(4): 321–8.

39. Serafini B, Rosicarelli B, Magliozzi R, Stigliano E, Aloisi F. Detection of ectopic B-cell follicles with germinal centers in the meninges of patients with secondary progressive multiple sclerosis. Brain Pathol 2004 Apr; 14(2): 164–74.

40. Magliozzi R, Howell O, Vora A, Serafini B, Nicholas R, Puopolo M, et al. Meningeal B-cell follicles in secondary progressive multiple sclerosis associate with early onset of disease and severe cortical pathology. Brain 2007 Apr; 130(Pt 4): 1089–104.

41. 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 Apr; 136(7): 2348–57.

42. 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 USA 1992 Jan; 89(2): 574–8.

43. 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 Th1 lymphokine subtype. Cell Immunol 1989 Nov; 124(1): 132–43.

44. Traugott U, Lebon P. Multiple sclerosis: involvement of interferons in lesion pathogenesis. Ann Neurol 1988 Aug; 24(2): 243–51.

45. Traugott U, Lebon P. Interferon-gamma and Ia antigen are present on astrocytes in active chronic multiple sclerosis lesions. J Neurol Sci 1988 Apr; 84(2–3): 257–64.

46. Pettinelli CB, McFarlin DE. Adoptive transfer of experimental allergic encephalomyelitis in SJL/J mice after in vitro activation of lymph node cells by myelin basic protein: requirement for Lyt 1+ 2-T lymphocytes. J Immunol 1981 Oct; 127(4): 1420–3.

47. 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 Jan; 156(1): 5–7.

48. Bettelli E, Korn T, Oukka M, et al. Induction and effector functions of T(H)17 cells. Nature 2008 Jun; 453(7198): 1051–7.

49. Kebir H, Kreymborg K, Ifergan I, et al. Human TH17 lymphocytes promote blood-brain barrier disruption and central nervous system inflammation. Nat Med 2007 Oct; 13(10): 1173–5.

50. Stromnes IM, Cerretti LM, Liggitt D, et al. Differential regulation of central nervous system autoimmunity by T(H)1 and T(H)17 cells. Nat Med 2008 Mar; 14(3): 337–42.

51. Montes M, Zhang X, Berthelot L, et al. Oligoclonal myelin-reactive T-cell infiltrates derived from multiple sclerosis lesions are enriched in Th17 cells. Clin Immunol 2009; 130(2): 133-44.

52. Bettelli E, Carrier Y, Gao W, et al. Reciprocal developmental pathways for the generation of pathogenic effector TH17 and regulatory T cells. Nature 2006 May; 441(7090): 235–8.

53. Crawford MP, Yan SX, Ortega SB, et al. High prevalence of autoreactive, neuroantigen-specific CD8+ T cells in multiple sclerosis revealed by novel flow cytometric assay. Blood 2004 Jun; 103(11): 4222–31.

54. Saxena A, Bauer J, Scheikl T, et al. Cutting edge: multiple sclerosis-like lesions induced by effector CD8 T cells recognizing a sequestered antigen on oligodendrocytes. J Immunol 2008 Aug; 181(3): 1617–21.

55. Babbe H, Roers A, Waisman A, Lassmann H, Goebels N, Hohlfeld R, et al. Clonal expansions of CD8(+) T cells dominate the T cell infiltrate in active multiple sclerosis lesions as shown by micromanipulation and single cell polymerase chain reaction. J Exp Med 2000 Aug; 192(3): 393–404.

56. Jurewicz A, Biddison WE, Antel JP. MHC class I-restricted lysis of human oligodendrocytes by myelin basic protein peptide-specific CD8 T lymphocytes. J Immunol 1998 Mar; 160(6): 3056–9.

57. Neumann H, Medana IM, Bauer J, Lassmann H. Cytotoxic T lymphocytes in autoimmune and degenerative CNS diseases. Trends Neurosci 2002 Jun; 25(6): 313–19.

58. Abdul-Majid KB, Wefer J, Stadelmann C, Stefferl A, Lassmann H, Olsson T, et al. Comparing the pathogenesis of experimental autoimmune encephalomyelitis in CD4-/- and CD8-/- DBA/1 mice defines qualitative roles of different T cell subsets. J Neuroimmunol 2003 Aug; 141(1-2): 10–19.

59. Kolls JK, Linden A. Interleukin-17 family members and inflammation. Immunity 2004 Oct; 21(4): 467–76.

60. Duddy M, Niino M, Adatia F, et al. Distinct effector cytokine profiles of memory and naive human B cell subsets and implication in multiple sclerosis. J Immunol 2007 May; 178(10): 6092–9.

61. Lund FE, Garvy BA, Randall TD, Harris DP. Regulatory roles for cytokine-producing B cells in infection and autoimmune disease. Curr Dir Autoimmun 2005; 8: 25–54.

62. O'Connor KC, McLaughlin KA, De Jager PL, et al. Self-antigen tetramers discriminate between myelin autoantibodies to native or denatured protein. Nat Med 2007 Feb; 13(2): 211–17.

63. Genain CP, Cannella B, et al. Identification of autoantibodies associated with myelin damage in multiple sclerosis. Nat Med 1999 Feb; 5(2): 170–5.

64. Hauser SL, Waubant E, Arnold DL, et al. B-cell depletion with rituximab in relapsing-remitting multiple sclerosis. N Engl J Med 2008 Feb; 358(7): 676–88.

65. Mizoguchi A, Bhan AK. A case for regulatory B cells. J Immunol 2006 Jan; 176(2): 705–10.

66. Sakaguchi S, Yamaguchi T, Nomura T, et al. Regulatory T cells and immune tolerance. Cell 2008 May; 133(5): 775–87.

67. Sakaguchi S. Regulatory T cells: key controllers of immunologic self-tolerance. Cell 2000 May; 101(5): 455–8.

68. Shevach EM, McHugh RS, Piccirillo CA, Thornton AM. Control of T-cell activation by CD4+ CD25+ suppressor T cells. Immunol Rev 2001 Aug; 182: 58–67.

69. Weiner HL. Induction and mechanism of action of transforming growth factor-beta-secreting Th3 regulatory cells. Immunol Rev 2001 Aug; 182: 207–14.

70. Roncarolo MG, Gregori S, Battaglia M, et al. Interleukin–10-secreting type 1 regulatory T cells in rodents and humans. Immunol Rev 2006 Aug; 212: 28–50.

71. Borsellino G, Kleinewietfeld M, Di Mitri D, Sternjak A, Diamantini A, Giometto R, et al. Expression of ectonucleotidase CD39 by Foxp3+ Treg cells: hydrolysis of extracellular ATP and immune suppression. Blood 2007 Aug; 110(4): 1225–32.

72. Venken K, Hellings N, Hensen K, Rummens JL, Medaer R, D'Hooghe MB, et al. Secondary progressive in contrast to relapsing-remitting multiple sclerosis patients show a normal CD4+CD25+ regulatory T-cell function and FOXP3 expression. J Neurosci Res 2006 Jun; 83(8): 1432–46.

73. Viglietta V, Baecher-Allan C, Weiner HL, et al. Loss of functional suppression by CD4+CD25+ regulatory T cells in patients with multiple sclerosis. J Exp Med 2004 Apr; 199(7): 971–9.

74. Martinez-Forero I, Garcia-Munoz R, Martinez-Pasamar S, et al. IL-10 suppressor activity and ex vivo Tr1 cell function are impaired in multiple sclerosis. Eur J Immunol 2008 Feb; 38(2): 576–86.

75. Astier AL, Meiffren G, Freeman S, et al. Alterations in CD46-mediated Tr1 regulatory T cells in patients with multiple sclerosis. J Clin Invest 2006 Dec; 116(12): 3252–7.

76. Haas J, Korporal M, Balint B, Fritzsching B, Schwarz A, Wildemann B. Glatiramer acetate improves regulatory T-cell function by expansion of naive CD4(+) CD25(+) FOXP3(+) CD31(+) T-cells in patients with multiple sclerosis. J Neuroimmunol 2009 Nov; 216(1–2): 113–17.

77. Korporal M, Haas J, Balint B, Fritzsching B, Schwarz A, Moeller S, et al. Interferon beta-induced restoration of regulatory T-cell function in multiple sclerosis is prompted by an increase in newly generated naive regulatory T cells. Arch Neurol 2008 Nov; 65(11): 1434–9.

78. Correale J, Farez M. Association between parasite infection and immune responses in multiple sclerosis. Ann Neurol 2007 Feb; 61(2): 97–108.

79. Korn T, Reddy J, Gao W, et al. Myelin-specific regulatory T cells accumulate in the CNS but fail to control autoimmune inflammation. Nat Med 2007 Apr; 13(4): 423–31.

80. Ochi H, Abraham M, Ishikawa H, et al. Oral CD3-specific antibody suppresses autoimmune encephalomyelitis by inducing CD4+ CD25- LAP+ T cells. Nat Med 2006 Jun; 12(6): 627–35.

81. Quintana FJ, Basso AS, Iglesias AH, et al. Control of T(reg) and T(H)17 cell differentiation by the aryl hydrocarbon receptor. Nature 2008 May; 453(7191): 65–71.

82. Gandhi R, Kumar D, Burns EJ, Nadeau M, Dake B, Laroni A, et al. Activation of the aryl hydrocarbon receptor induces human type 1 regulatory T cell-like and Foxp3(+) regulatory T cells. Nat Immunol 2010 Sep; 11(9): 846–53.

83. Najafian N, Chitnis T, Salama AD, Zhu B, Benou C, Yuan X, et al. Regulatory functions of CD8+CD28- T cells in an autoimmune disease model. J Clin Invest 2003 Oct; 112(7): 1037–48.

84. Chang CC, Ciubotariu R, Manavalan JS, Yuan J, Colovai AI, Piazza F, et al. Tolerization of dendritic cells by T(S) cells: the crucial role of inhibitory receptors ILT3 and ILT4. Nat Immunol 2002 Mar; 3(3): 237–43.

85. Suciu-Foca N, Manavalan JS, Scotto L, Kim-Schulze S, Galluzzo S, Naiyer AJ, et al. Molecular characterization of allospecific T suppressor and tolerogenic dendritic cells: review. Int Immunopharmacol 2005 Jan; 5(1): 7–11.

86. Endharti AT, Rifa IM, Shi Z, Fukuoka Y, Nakahara Y, Kawamoto Y, et al. Cutting edge: CD8+CD122+ regulatory T cells produce IL–10 to suppress IFN-gamma production and proliferation of CD8+ T cells. J Immunol 2005 Dec; 175(11): 7093–7.

87. Suzuki H, Shi Z, Okuno Y, Isobe K. Are CD8+CD122+ cells regulatory T cells or memory T cells? Hum Immunol 2008 Nov; 69(11): 751–4.

88. Lee YH, Ishida Y, Rifa'i M, Shi Z, Isobe K, Suzuki H. Essential role of CD8+CD122+ regulatory T cells in the recovery from experimental autoimmune encephalomyelitis. J Immunol 2008 Jan; 180(2): 825–32.

89. Chen ML, Yan BS, Kozoriz D, Weiner HL. Novel CD8+ Treg suppress EAE by TGF-beta- and IFN-gamma-dependent mechanisms. Eur J Immunol 2009 Dec; 39(12): 3423–35.

90. Patzold U, Pocklington PR. Course of multiple sclerosis. First results of a prospective study carried out of 102 MS patients from 1976 to 1980. Acta Neurol Scand 1982 Apr; 65(4): 248–66.

91. Edwards S, Zvartau M, Clarke H, Irving W, Blumhardt LD. Clinical relapses and disease activity on magnetic resonance imaging associated with viral upper respiratory tract infections in multiple sclerosis. J Neurol Neurosurg Psychiat 1998 Jun; 64(6): 736–41.

92. Panitch HS. Influence of infection on exacerbations of multiple sclerosis. Ann Neurol 1994; 36 Suppl: S25–8.

93. Buljevac D, Flach HZ, Hop WC, Hijdra D, Laman JD, Savelkoul HF, et al. Prospective study on the relationship between infections and multiple sclerosis exacerbations. Brain 2002 May; 125(Pt 5): 952–60.

94. Fujinami RS, Oldstone MB. Amino acid homology between the encephalitogenic site of myelin basic protein and virus: mechanism for autoimmunity. Science 1985 Nov; 230(4729): 1043–5.

95. Vanderlugt CL, Begolka WS, Neville KL, Katz-Levy Y, Howard LM, Eagar TN, et al. The functional significance of epitope spreading and its regulation by co-stimulatory molecules. Immunol Rev 1998 Aug; 164: 63–72.

96. Miller SD, Karpus WJ. The immunopathogenesis and regulation of T-cell-mediated demyelinating diseases. Immunol Today 1994 Aug; 15(8): 356–61.

97. Scherer MT, Ignatowicz L, Winslow GM, Kappler JW, Marrack P. Superantigens: bacterial and viral proteins that manipulate the immune system. Annu Rev Cell Biol 1993; 9: 101–28.

98. Caggiula M, Batocchi AP, Frisullo G, Angelucci F, Patanella AK, Sancricca C, et al. Neurotrophic factors and clinical recovery in relapsing-remitting multiple sclerosis. Scand J Immunol 2005 Aug; 62(2): 176–82.

99. Selmaj KW, Raine CS. Experimental autoimmune encephalomyelitis: immunotherapy with anti-tumor necrosis factor antibodies and soluble tumor necrosis factor receptors. Neurology 1995 Jun; 45 (6 Suppl 6): S44–9.

100. van Oosten BW, Barkhof F, Truyen L, Boringa JB, Bertelsmann FW, von Blomberg BM, et al. Increased MRI activity and immune activation in two multiple sclerosis patients treated with the monoclonal anti-tumor necrosis factor antibody cA2. Neurology 1996 Dec; 47(6): 1531–4.

101. TNF neutralization in MS: results of a randomized, placebo-controlled multicenter study. The Lenercept Multiple Sclerosis Study Group and The University of British Columbia MS/MRI Analysis Group. Neurology 1999 Aug; 53(3): 457–65.

102. Mohr DC, Hart SL, Julian L, Cox D, Pelletier D. Association between stressful life events and exacerbation in multiple sclerosis: a meta-analysis. BMJ 2004 Mar; 328(7442): 731.

103. Rabins PV, Brooks BR, O'Donnell P, Pearlson GD, Moberg P, Jubelt B, et al. Structural brain correlates of emotional disorder in multiple sclerosis. Brain 1986 Aug; 109(Pt 4): 585–97.

104. Confavreux C, Hutchinson M, Hours MM, Cortinovis-Tourniaire P, Moreau T. Rate of pregnancy-related relapse in multiple sclerosis. Pregnancy in Multiple Sclerosis Group. N Engl J Med 1998 Jul; 339(5): 285–91.

105. Peterson K, Rosenblum MK, Powers JM, Alvord E, Walker RW, Posner JB. Effect of brain irradiation on demyelinating lesions. Neurology 1993 Oct; 43(10): 2105–12.

106. Murphy CB, Hashimoto SA, Graeb D, Thiessen BA. Clinical exacerbation of multiple sclerosis following radiotherapy. Arch Neurol 2003 Feb; 60(2): 273–5.

107. Gopal M, Mittal A, Weiner H. Increased osteopontin expression in dendritic cells amplifies IL–17 production by CD4+ T cells in experimental autoimmune encephalomyelitis and in multiple sclerosis. JI 2008.

108. Karni A, Abraham M, Monsonego A, et al. Innate immunity in multiple sclerosis: myeloid dendritic cells in secondary progressive multiple sclerosis are activated and drive a proinflammatory immune response. J Immunol 2006 Sep; 177(6): 4196–202.

109. Balashov KE, Smith DR, Khoury SJ, et al. 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 Jan; 94(2): 599–603.

110. Karni A, Koldzic DN, Bharanidharan P, et al. IL–18 is linked to raised IFN-gamma in multiple sclerosis and is induced by activated CD4(+) T cells via CD40-CD40 ligand interactions. J Neuroimmunol 2002 Apr; 125(1–2): 134–40.

111. Kutzelnigg A, Lucchinetti CF, Stadelmann C, et al. Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain 2005 Nov; 128(Pt 11): 2705–12.

112. Benveniste EN. Cytokines: influence on glial cell gene expression and function. Chem Immunol 1997; 69: 31–75.

113. Rasmussen S, Wang Y, Kivisakk P, Bronson RT, Meyer M, Imitola J, et al. Persistent activation of microglia is associated with neuronal dysfunction of callosal projecting pathways and multiple sclerosis-like lesions in relapsing–remitting experimental autoimmune encephalomyelitis. Brain 2007 Nov; 130(Pt 11): 2816–29.

114. Traugott U. Characterization and distribution of lymphocyte subpopulations in multiple sclerosis plaques versus autoimmune demyelinating lesions. Springer Semin Immunopathol 1985; 8(1–2): 71–95.

115. Hammarberg H, Lidman O, Lundberg C, Eltayeb SY, Gielen AW, Muhallab S, et al. Neuroprotection by encephalomyelitis: rescue of mechanically injured neurons and neurotrophin production by CNS-infiltrating T and natural killer cells. J Neurosci 2000 Jul; 20(14): 5283–91.

116. Takahashi K, Miyake S, Kondo T, Terao K, Hatakenaka M, Hashimoto S, et al. Natural killer type 2 bias in remission of multiple sclerosis. J Clin Invest 2001 Mar; 107(5): R23–9.

117. Takahashi K, Aranami T, Endoh M, Miyake S, Yamamura T. The regulatory role of natural killer cells in multiple sclerosis. Brain 2004 Sep; 127(Pt 9): 1917–27.

118. Kastrukoff LF, Morgan NG, Zecchini D, White R, Petkau AJ, Satoh J, et al. A role for natural killer cells in the immunopathogenesis of multiple sclerosis. J Neuroimmunol 1998 Jun; 86(2): 123–33.

119. Kastrukoff LF, Lau A, Wee R, Zecchini D, White R, Paty DW. Clinical relapses of multiple sclerosis are associated with 'novel' valleys in natural killer cell functional activity. J Neuroimmunol