Dynamics and heterogeneity of brain damage in multiple sclerosis

Multiple Sclerosis (MS) is an autoimmune disease driving inflammatory and degenerative processes that damage the central nervous system (CNS). However, it is not well understood how these events interact and evolve to evoke such a highly dynamic and heterogeneous disease. We established a hypothesis whereby the variability in the course of MS is driven by the very same pathogenic mechanisms responsible for the disease, the autoimmune attack on the CNS that leads to chronic inflammation, neuroaxonal degeneration and remyelination. We propose that each of these processes acts more or less severely and at different times in each of the clinical subgroups. To test this hypothesis, we developed a mathematical model that was constrained by experimental data (the expanded disability status scale [EDSS] time series) obtained from a retrospective longitudinal cohort of 66 MS patients with a long-term follow-up (up to 20 years). Moreover, we validated this model in a second prospective cohort of 120 MS patients with a three-year follow-up, for which EDSS data and brain volume time series were available. The clinical heterogeneity in the datasets was reduced by grouping the EDSS time series using an unsupervised clustering analysis. We found that by adjusting certain parameters, albeit within their biological range, the mathematical model reproduced the different disease courses, supporting the dynamic CNS damage hypothesis to explain MS heterogeneity. Our analysis suggests that the irreversible axon degeneration produced in the early stages of progressive MS is mainly due to the higher rate of myelinated axon degeneration, coupled to the lower capacity for remyelination. However, and in agreement with recent pathological studies, degeneration of chronically demyelinated axons is not a key feature that distinguishes this phenotype. Moreover, the model reveals that lower rates of axon degeneration and more rapid remyelination make relapsing MS more resilient than the progressive subtype. Therefore, our results support the hypothesis of a common pathogenesis for the different MS subtypes, even in the presence of genetic and environmental heterogeneity. Hence, MS can be considered as a single disease in which specific dynamics can provoke a variety of clinical outcomes in different patient groups. These results have important implications for the design of therapeutic interventions for MS at different stages of the disease.

[1]  Istvan Pirko,et al.  Clinical and pathological insights into the dynamic nature of the white matter multiple sclerosis plaque , 2015, Annals of neurology.

[2]  Hui Zhang,et al.  Insufficient OPC migration into demyelinated lesions is a cause of poor remyelination in MS and mouse models , 2013, Acta Neuropathologica.

[3]  F. Jacques Defining the clinical course of multiple sclerosis: The 2013 revisions , 2015, Neurology.

[4]  B. Trapp,et al.  Axonal loss in multiple sclerosis: causes and mechanisms. , 2014, Handbook of clinical neurology.

[5]  R. Ransohoff,et al.  Innate immunity in the central nervous system. , 2012, The Journal of clinical investigation.

[6]  Lawrence Steinman,et al.  Multiple sclerosis: a two-stage disease , 2001, Nature Immunology.

[7]  H. Lassmann,et al.  The molecular basis of neurodegeneration in multiple sclerosis , 2011, FEBS letters.

[8]  Amit Bar-Or,et al.  Central nervous system inflammation across the age span. , 2016, Current opinion in neurology.

[9]  Pablo Villoslada,et al.  Oxidative Stress and Proinflammatory Cytokines Contribute to Demyelination and Axonal Damage in a Cerebellar Culture Model of Neuroinflammation , 2013, PloS one.

[10]  Ioannis N. Melas,et al.  Signaling networks in MS: A systems-based approach to developing new pharmacological therapies , 2015, Multiple sclerosis.

[11]  Hans Lassmann,et al.  Remyelination is extensive in a subset of multiple sclerosis patients. , 2006, Brain : a journal of neurology.

[12]  D. Hafler,et al.  Multiple sclerosis—a quiet revolution , 2015, Nature Reviews Neurology.

[13]  P. Villoslada Neuroprotective therapies for multiple sclerosis and other demyelinating diseases , 2016, Multiple Sclerosis and Demyelinating Disorders.

[14]  H. Wiendl,et al.  Clinical Relevance of Brain Volume Measures in Multiple Sclerosis , 2014, CNS Drugs.

[15]  Gavin Giovannoni,et al.  Is multiple sclerosis a length-dependent central axonopathy? The case for therapeutic lag and the asynchronous progressive MS hypotheses. , 2017, Multiple sclerosis and related disorders.

[16]  J. Sepulcre,et al.  A Network Analysis of the Human T-Cell Activation Gene Network Identifies Jagged1 as a Therapeutic Target for Autoimmune Diseases , 2007, PloS one.

[17]  K. Schmierer,et al.  Is it time to target no evident disease activity (NEDA) in multiple sclerosis? , 2015, Multiple sclerosis and related disorders.

[18]  L. Zimmerman,et al.  Pathology of the demyelinating diseases. , 1956, Transactions - American Academy of Ophthalmology and Otolaryngology. American Academy of Ophthalmology and Otolaryngology.

[19]  P. Stys,et al.  Will the real multiple sclerosis please stand up? , 2012, Nature Reviews Neuroscience.

[20]  S. Krieger,et al.  The topographical model of multiple sclerosis , 2016, Neurology: Neuroimmunology & Neuroinflammation.

[21]  Simon C. Potter,et al.  Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis , 2011, Nature.

[22]  I. Zubizarreta,et al.  The multiple sclerosis visual pathway cohort: understanding neurodegeneration in MS , 2014, BMC Research Notes.

[23]  T. Kuhlmann,et al.  Oligodendrocyte progenitor cell susceptibility to injury in multiple sclerosis. , 2013, The American journal of pathology.

[24]  F. Paul,et al.  Identical lesion morphology in primary progressive and relapsing–remitting MS –an ultrahigh field MRI study , 2014, Multiple sclerosis.

[25]  Céline Louapre,et al.  Neurodegeneration in multiple sclerosis is a process separate from inflammation: Yes , 2015, Multiple sclerosis.

[26]  M. Simons,et al.  Myelination at a glance , 2014, Journal of Cell Science.

[27]  Pablo Villoslada,et al.  Autoimmunity and tumor immunology: two facets of a probabilistic immune system , 2014, BMC Systems Biology.

[28]  S. Hauser,et al.  Multiple sclerosis: Prospects and promise , 2013, Annals of neurology.

[29]  B. Trapp,et al.  Pathological mechanisms in progressive multiple sclerosis , 2015, The Lancet Neurology.

[30]  D. Kirschner,et al.  A methodology for performing global uncertainty and sensitivity analysis in systems biology. , 2008, Journal of theoretical biology.

[31]  P. Sørensen,et al.  Erratum: Remyelination is extensive in a subset of multiple sclerosis patients (Brain (2006) 129, PART 12, (3165-3172) DOI: 10.1093/brain/awl217) , 2007 .

[32]  Hugues Duffau,et al.  Brain Hodotopy: From Esoteric Concept to Practical Surgical Applications , 2011, Neurosurgery.

[33]  Samuel Bernard,et al.  Dynamics of Oligodendrocyte Generation and Myelination in the Human Brain , 2014, Cell.

[34]  H. Lassmann Pathology and disease mechanisms in different stages of multiple sclerosis , 2013, Journal of the Neurological Sciences.

[35]  S. Hauser,et al.  The Neurobiology of Multiple Sclerosis: Genes, Inflammation, and Neurodegeneration , 2006, Neuron.

[36]  Joaquín Goñi,et al.  Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis , 2011, BMC Systems Biology.

[37]  R. Rudick,et al.  Premyelinating oligodendrocytes in chronic lesions of multiple sclerosis. , 2002, The New England journal of medicine.

[38]  Narsis A Kiani,et al.  A minimal unified model of disease trajectories captures hallmarks of multiple sclerosis. , 2017, Mathematical biosciences.

[39]  Pablo Villoslada,et al.  Mapping the brain pathways of declarative verbal memory: Evidence from white matter lesions in the living human brain , 2008, NeuroImage.

[40]  Sandra D'Alfonso,et al.  Network-based multiple sclerosis pathway analysis with GWAS data from 15,000 cases and 30,000 controls. , 2013, American journal of human genetics.

[41]  P. Sørensen,et al.  Demyelination versus remyelination in progressive multiple sclerosis. , 2010, Brain : a journal of neurology.

[42]  H. Lassmann,et al.  Pathology of multiple sclerosis and related inflammatory demyelinating diseases. , 2014, Handbook of clinical neurology.

[43]  L. Steinman,et al.  Systems biology and its application to the understanding of neurological diseases , 2009, Annals of neurology.

[44]  P. Villoslada,et al.  The disruption of mitochondrial axonal transport is an early event in neuroinflammation , 2015, Journal of Neuroinflammation.

[45]  S. Vukusic,et al.  Natural history of multiple sclerosis: a unifying concept. , 2006, Brain : a journal of neurology.

[46]  E. Frohman,et al.  Multiple sclerosis--the plaque and its pathogenesis. , 2006, The New England journal of medicine.

[47]  Hans Lassmann,et al.  Progressive multiple sclerosis: pathology and pathogenesis , 2012, Nature Reviews Neurology.

[48]  Pablo Villoslada,et al.  Dynamic cross-regulation of antigen-specific effector and regulatory T cell subpopulations and microglia in brain autoimmunity , 2013, BMC Systems Biology.