Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Roadmap
  • Published:

From the prodromal stage of multiple sclerosis to disease prevention

Abstract

A prodrome is an early set of signs or symptoms that indicate the onset of a disease before more typical symptoms develop. Prodromal stages are well recognized in some neurological and immune-mediated diseases such as Parkinson disease, schizophrenia, type 1 diabetes mellitus and rheumatoid arthritis. Emerging evidence indicates that a prodromal stage exists in multiple sclerosis (MS), raising the possibility of intervention at this stage to delay or prevent the development of classical MS. However, much remains unclear about the prodromal stage of MS and considerable research is needed to fully characterize the prodrome and develop standardized criteria to reliably identify individuals with prodromal MS who are at high risk of progressing to a diagnosis of MS. In this Roadmap, we draw on work in other diseases to propose a disease framework for MS that incorporates the prodromal stage, and set out key steps and considerations needed in future research to fully characterize the MS prodrome, identify early disease markers and develop standardized criteria that will enable reliable identification of individuals with prodromal MS, thereby facilitating trials of interventions to slow or stop progression beyond the prodrome.

Key points

  • Emerging evidence supports the existence of a prodromal stage in multiple sclerosis (MS) as established in other neurological and immune-mediated diseases.

  • Revision of the natural history of MS to include the prodromal stage enables the identification of opportunities for future intervention and facilitates the design of clinical trials.

  • Clear research directions are needed to develop standardized criteria for prodromal MS, which will enable the identification of individuals who are at high risk of developing classical MS and who might benefit from intervention.

  • The prodromal stage of MS needs to be fully characterized through prospective studies that focus on informative populations such as people with radiologically isolated syndrome or first-degree relatives with MS.

  • Identification and validation of clinical, genetic, imaging and fluid biomarkers of prodromal MS in diverse populations are needed.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Proposed framework for the stages of MS.

Similar content being viewed by others

References

  1. Bjornevik, K. et al. Serum neurofilament light chain levels in patients with presymptomatic multiple sclerosis. JAMA Neurol. https://doi.org/10.1001/jamaneurol.2019.3238 (2019). This study provides biological evidence for a prodrome in MS.

    Article  PubMed Central  Google Scholar 

  2. Cortese, M. et al. Pre-clinical disease activity in multiple sclerosis: a prospective study on cognitive performance prior to first symptom. Ann. Neurol. 80, 616–624 (2016).

    Article  PubMed  Google Scholar 

  3. Disanto, G. et al. Prodromal symptoms of multiple sclerosis in primary care. Ann. Neurol. 83, 1162–1173 (2018).

    Article  PubMed  Google Scholar 

  4. Marrie, R. A. et al. High rates of health care utilization in pediatric multiple sclerosis: a Canadian population-based study. PLoS One 14, e0218215 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Xia, Z. et al. Assessment of early evidence of multiple sclerosis in a prospective study of asymptomatic high-risk family members. JAMA Neurol. 74, 293–300 (2017). This study demonstrated that first-degree relatives of people with MS who are at higher risk of MS are more likely to have clinical and imaging abnormalities.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Beltrán, E. et al. Early adaptive immune activation detected in monozygotic twins with prodromal multiple sclerosis. J. Clin. Investig. 129, 4758–4768 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Wijnands, J. M. A. et al. Health-care use before a first demyelinating event suggestive of a multiple sclerosis prodrome: a matched cohort study. Lancet Neurol. 16, 445–451 (2017). A multi-centre study suggesting a possible prodromal phase in MS on the basis of rising health-care usage preceding diagnosis.

    Article  PubMed  Google Scholar 

  8. Berger, J. R., Pocoski, J., Preblick, R. & Boklage, S. Fatigue heralding multiple sclerosis. Mult. Scler. J. 19, 1526–1532 (2013).

    Article  Google Scholar 

  9. Berg, D. et al. MDS research criteria for prodromal Parkinson’s disease. Mov. Disord. 30, 1600–1611 (2015). The prodromal criteria for PD, which provide a framework for developing prodromal criteria for MS.

    Article  PubMed  Google Scholar 

  10. Mankia, K. & Emery, P. Preclinical rheumatoid arthritis: progress toward prevention. Arthritis Rheumatol. 68, 779–788 (2016).

    Article  PubMed  Google Scholar 

  11. Mokhtari, M. & Rajarethim, R. Early intervention and the treatment of prodrome in schizophrenia: a review of recent developments. J. Psychiatr. Pract. 19, 375–385 (2013).

    Article  PubMed  Google Scholar 

  12. Townson, J., Cannings-John, R., Francis, N., Thayer, D. & Gregory, J. W. Presentation to primary care during the prodrome of type 1 diabetes in childhood: a case-control study using record data linkage. Pediatr. Diabetes 20, 330–338 (2019).

    Article  PubMed  Google Scholar 

  13. Insel, R. A. et al. Staging presymptomatic type 1 diabetes: a scientific statement of JDRF, the Endocrine Society, and the American Diabetes Association. Diabetes Care 38, 1964–1974 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Makhani, N. & Tremlett, H. The multiple sclerosis prodrome. Nat. Rev. Neurol. https://doi.org/10.1038/s41582-021-00519-3 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Wijnands, J. M. et al. Five years before multiple sclerosis onset: phenotyping the prodrome. Mult. Scler. 25, 1092–1101 (2019).

    Article  PubMed  Google Scholar 

  16. Yusuf, F. L. et al. Fatigue, sleep disorders, anaemia and pain in the multiple sclerosis prodrome. Mult. Scler. J. 27, 290–302 (2021).

    Article  CAS  Google Scholar 

  17. Marrie, R. A. et al. Rising incidence of psychiatric disorders before diagnosis of immune-mediated inflammatory disease. Epidemiol. Psychiatr. Sci. 28, 333–342 (2019).

    Article  CAS  PubMed  Google Scholar 

  18. Gasperi, C. et al. Systematic assessment of medical diagnoses preceding the first diagnosis of multiple sclerosis. Neurology 96, e2977–e2988 (2021).

    Article  CAS  Google Scholar 

  19. Solomon, A. J. & Ascherio, A. Early diagnosis of multiple sclerosis: further evidence for missed opportunity. Neurology 96, 1111–1112 (2021).

    Article  Google Scholar 

  20. Gout, O. et al. Prior suggestive symptoms in one-third of patients consulting for a “first” demyelinating event. J. Neurol. Neurosurg. Psychiatry 82, 323–325 (2011).

    Article  CAS  PubMed  Google Scholar 

  21. Xia, Z. et al. Genes and environment in multiple sclerosis project: a platform to investigate multiple sclerosis risk. Ann. Neurol. 79, 178–189 (2016).

    Article  PubMed  Google Scholar 

  22. Bingley, P. J. et al. Type 1 diabetes TrialNet: a multifaceted approach to bringing disease-modifying therapy to clinical use in type 1 diabetes. Diabetes Care 41, 653–661 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Herold, K. C. et al. An anti-CD3 antibody, Teplizumab, in relatives at risk for type 1 diabetes. N. Engl. J. Med. 381, 603–613 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Ramagopalan, S. V., Dobson, R., Meier, U. C. & Giovannoni, G. Multiple sclerosis: risk factors, prodromes, and potential causal pathways. Lancet Neurol. 9, 727–739 (2010).

    Article  PubMed  Google Scholar 

  25. Okuda, D. T. et al. Incidental MRI anomalies suggestive of multiple sclerosis: the radiologically isolated syndrome. Neurology 72, 800–805 (2009).

    Article  CAS  PubMed  Google Scholar 

  26. Makhani, N. et al. Radiologically isolated syndrome in children: clinical and radiologic outcomes. Neurol. Neuroimmunol. Neuroinflamm. 4, e395 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Engell, T. A clinical patho-anatomical study of clinically silent multiple sclerosis. Acta Neurol. Scand. 79, 428–430 (1989).

    Article  CAS  PubMed  Google Scholar 

  28. Gilbert, J. J. & Sadler, M. Unsuspected multiple Sclerosis. Arch. Neurol. 40, 533–536 (1983).

    Article  CAS  PubMed  Google Scholar 

  29. Okuda, D. T. et al. Radiologically Isolated syndrome: 5-year risk for an initial clinical event. PLoS One 9, e90509 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Lebrun, C., Blanc, F., Brassat, D., Zephir, H. & de Seze, J. Cognitive function in radiologically isolated syndrome. Mult. Scler. J. 16, 919–925 (2010).

    Article  Google Scholar 

  31. D’Anna, L. et al. The contribution of assessing cognitive impairment in radiologically-isolated syndrome (RIS): a single case report follow-up study. Mult. Scler. J. 20, 1912–1915 (2014).

    Article  Google Scholar 

  32. Lebrun-Frenay, C. et al. Radiologically isolated syndrome: 10-year risk estimate of a clinical event. Ann. Neurol. 88, 407–417 (2020). This study described the strong relationship between RIS and a subsequent diagnosis of MS.

    Article  CAS  PubMed  Google Scholar 

  33. Kantarci, O. H. et al. Primary progressive multiple sclerosis evolving from radiologically isolated Syndrome. Ann. Neurol. 79, 288–294 (2016).

    Article  PubMed  Google Scholar 

  34. Lebrun-Frénay, C. et al. Risk factors and time to clinical symptoms of multiple sclerosis among patients with radiologically isolated syndrome. JAMA Netw. Open 4, e2128271 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  35. Qiu, W. Q., Tremlett, H., Makhani, N. & Ng, H. S. A systematic review of signs and symptoms associated with radiologically isolated syndrome that are suggestive of a multiple sclerosis prodrome. Prospero https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021258386 (2021).

  36. Miller, D. H., Chard, D. T. & Ciccarelli, O. Clinically isolated syndromes. Lancet Neurol. 11, 157–169 (2012).

    Article  PubMed  Google Scholar 

  37. Phadke, J. G. & Best, P. V. Atypical and clinically silent multiple sclerosis: a report of 12 cases discovered unexpectedly at necropsy. J. Neurol. Neurosurg. Psychiatry 46, 414–420 (1983).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Chung, K. K. et al. A 30-year clinical and magnetic resonance imaging observational study of multiple sclerosis and clinically isolated syndromes. Ann. Neurol. 87, 63–74 (2020).

    Article  PubMed  Google Scholar 

  39. US National Library of Medicine. ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT02603146 (2022).

  40. US National Library of Medicine. ClinicalTrials.gov https://clinicaltrials.gov/ct2/show/NCT03888924 (2021).

  41. US National Library of Medicine. ClinicalTrials.gov https://clinicaltrials.gov/ct2/show/NCT03122652 (2020).

  42. US National Library of Medicine. ClinicalTrials.gov https://clinicaltrials.gov/ct2/show/NCT04877457 (2020).

  43. Heinzel, S. et al. Update of the MDS research criteria for prodromal Parkinson’s disease. Mov. Disord. 34, 1464–1470 (2019).

    Article  PubMed  Google Scholar 

  44. Postuma, R. B. & Berg, D. Prodromal Parkinson’s disease: the decade past, the decade to come. Mov. Disord. 34, 665–675 (2019).

    Article  PubMed  Google Scholar 

  45. Fereshtehnejad, S.-M. et al. Evolution of prodromal Parkinson’s disease and dementia with Lewy bodies: a prospective study. Brain 142, 2051–2067 (2019).

    Article  PubMed  Google Scholar 

  46. Postuma, R. B. et al. Risk and predictors of dementia and parkinsonism in idiopathic REM sleep behaviour disorder: a multicentre study. Brain 142, 744–759 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Mahlknecht, P. et al. Performance of the movement disorders society criteria for prodromal Parkinson’s disease: a population-based 10-year study. Mov. Disord. 33, 405–413 (2018).

    Article  PubMed  Google Scholar 

  48. Fereshtehnejad, S.-M. et al. Validation of the MDS research criteria for prodromal Parkinson’s disease: longitudinal assessment in a REM sleep behavior disorder (RBD) cohort. Mov. Disord. 32, 865–873 (2017).

    Article  PubMed  Google Scholar 

  49. Walton, C. et al. Rising prevalence of multiple sclerosis worldwide: insights from the Atlas of MS, third edition. Mult. Scler. J. 26, 1816–1821 (2020).

    Article  Google Scholar 

  50. Olsson, T., Barcellos, L. F. & Alfredsson, L. Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis. Nat. Rev. Neurol. 13, 25–36 (2017).

    Article  CAS  PubMed  Google Scholar 

  51. Bjornevik, K. et al. Longitudinal analysis reveals high prevalence of Epstein-Barr virus associated with multiple sclerosis. Science 375, 296–301 (2022). This study demonstrated that EBV infection is probably necessary for the development of MS.

    Article  CAS  PubMed  Google Scholar 

  52. Lanz, T. V. et al. Clonally expanded B cells in multiple sclerosis bind EBV EBNA1 and GlialCAM. Nature 603, 321–327 (2022).

    Article  CAS  PubMed  Google Scholar 

  53. Bos, S. D. et al. Genome-wide DNA methylation profiles indicate CD8+ T cell hypermethylation in multiple sclerosis. PLoS One 10, e0117403 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  54. Rhead, B. et al. Increased DNA methylation of SLFN12 in CD4+ and CD8+ T cells from multiple sclerosis patients. PLoS One 13, e0206511 (2018).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  55. Kular, L. & Jagodic, M. Epigenetic insights into multiple sclerosis disease progression. J. Intern. Med. 288, 82–102 (2020).

    Article  CAS  PubMed  Google Scholar 

  56. Roshani, F. et al. Analysis of micro-RNA-144 expression profile in patients with multiple sclerosis in comparison with healthy individuals. Rep. Biochem. Mol. Biol. 10, 396–401 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Fraga, M. F. et al. Epigenetic differences arise during the lifetime of monozygotic twins. Proc. Natl Acad. Sci. USA. 102, 10604–10609 (2005).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Gao, X., Jia, M., Zhang, Y., Breitling, L. P. & Brenner, H. DNA methylation changes of whole blood cells in response to active smoking exposure in adults: a systematic review of DNA methylation studies. Clin. Epigenetics 7, 113 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Ong, L. T. C., Schibeci, S. D., Fewings, N. L., Booth, D. R. & Parnell, G. P. Age-dependent VDR peak DNA methylation as a mechanism for latitude-dependent multiple sclerosis risk. Epigenetics Chromatin 14, 9 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Gandhi, K. S. et al. The multiple sclerosis whole blood mRNA transcriptome and genetic associations indicate dysregulation of specific T cell pathways in pathogenesis. Hum. Mol. Genet. 19, 2134–2143 (2010).

    Article  CAS  PubMed  Google Scholar 

  61. Kim, K. et al. Cell type-specific transcriptomics identifies neddylation as a novel therapeutic target in multiple sclerosis. Brain 144, 450–461 (2021).

    Article  PubMed  Google Scholar 

  62. Azari, H. et al. Construction of a lncRNA–miRNA–mRNA network to determine the key regulators of the Th1/Th2 imbalance in multiple sclerosis. Epigenomics 13, 1797–1815 (2021).

    Article  CAS  PubMed  Google Scholar 

  63. Yusuf, F. L. A. et al. A systematic review of morbidities suggestive of the multiple sclerosis prodrome. Expert. Rev. Neurother. 20, 799–819 (2020).

    Article  CAS  PubMed  Google Scholar 

  64. Deane, K. D., Norris, J. M. & Holers, V. M. Preclinical rheumatoid arthritis: identification, evaluation, and future directions for investigation. Rheum. Dis. Clin. North Am. 36, 213–241 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  65. Gaitán, M. I. et al. The frequency and characteristics of multiple sclerosis misdiagnosis in Latin America: a referral center study in Buenos Aires, Argentina. Mult. Scler. J. https://doi.org/10.1177/13524585211067521 (2021).

    Article  Google Scholar 

  66. Kaisey, M., Solomon, A. J., Luu, M., Giesser, B. S. & Sicotte, N. L. Incidence of multiple sclerosis misdiagnosis in referrals to two academic centers. Mult. Scler. Relat. Disord. 30, 51–56 (2019).

    Article  PubMed  Google Scholar 

  67. van Dongen, H. et al. Efficacy of methotrexate treatment in patients with probable rheumatoid arthritis: a double-blind, randomized, placebo-controlled trial. Arthritis Rheum. 56, 1424–1432 (2007).

    Article  PubMed  CAS  Google Scholar 

  68. Lix, L. M. et al. The Canadian chronic disease surveillance system: a model for collaborative surveillance. Int. J. Popul. Data Sci. 3, 433 (2018).

    PubMed  PubMed Central  Google Scholar 

  69. Culpepper, W. J. et al. Validation of an algorithm for identifying MS cases in administrative health claims datasets. Neurology 92, e1016–e1028 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  70. Wallin, M. T. et al. The prevalence of MS in the United States: a population-based estimate using health claims data. Neurology 92, e1029–e1040 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  71. Gilmour, H., Ramage-Morin, P. L. & Wong, S. L. Multiple sclerosis: prevalence and impact. Health Rep. 29, 3–8 (2018).

    PubMed  Google Scholar 

  72. Buka, S. L. et al. Feasibility of using a nationally representative telephone survey to monitor multiple sclerosis prevalence in the United States. Neuroepidemiology https://doi.org/10.1159/000504050 (2020).

    Article  PubMed  Google Scholar 

  73. Dyment, D. A., Ebers, G. C. & Sadovnick, A. D. Genetics of multiple sclerosis. Lancet 3, 104–110 (2004).

    Article  CAS  Google Scholar 

  74. International Multiple Sclerosis Genetics Consortium. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility. Science 365, eaav7188 (2019).

    Article  PubMed Central  CAS  Google Scholar 

  75. Dobson, R. et al. A risk score for predicting multiple sclerosis. PLoS One 11, e0164992 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  76. Suratannon, N. et al. Rapid low-cost microarray-based genotyping for genetic screening in primary immunodeficiency. Front. Immunol. 11, 614 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Liu, C. et al. Generalizability of polygenic risk scores for breast cancer among women with European, African, and Latinx ancestry. JAMA Netw. Open 4, e2119084 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  78. Lewis, C. M. & Vassos, E. Polygenic risk scores: from research tools to clinical instruments. Genome Med. 12, 44 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  79. Sati, P. et al. The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American imaging in multiple sclerosis cooperative. Nat. Rev. Neurol. 12, 714–722 (2016).

    Article  PubMed  Google Scholar 

  80. Suthiphosuwan, S. et al. The central vein sign in radiologically isolated syndrome. Am. J. Neuroradiol. 40, 776–783 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Azevedo, C. J. et al. Early CNS neurodegeneration in radiologically isolated syndrome. Neurol. Neuroimmunol. Neuroinflamm. 2, e102 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  82. Oh, J. et al. Cognitive impairment, the central vein sign, and paramagnetic rim lesions in RIS. Mult. Scler. J. https://doi.org/10.1177/13524585211002097 (2021).

    Article  Google Scholar 

  83. Lambe, J., Murphy, O. C. & Saidha, S. Can optical coherence tomography be used to guide treatment decisions in adult or pediatric multiple sclerosis? Curr. Treat. Options Neurol. 20, 9 (2018).

    Article  PubMed  Google Scholar 

  84. Ikuta, F. & Zimmerman, H. M. Distribution of plaques in seventy autopsy cases of multiple sclerosis in the United States. Neurology 26, 26–28 (1976).

    Article  CAS  PubMed  Google Scholar 

  85. Shindler, K. S., Ventura, E., Dutt, M. & Rostami, A. Inflammatory demyelination induces axonal injury and retinal ganglion cell apoptosis in experimental optic neuritis. Exp. Eye Res. 87, 208–213 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Nolan-Kenney, R. C. et al. Optimal intereye difference thresholds by optical coherence tomography in multiple sclerosis: an international study. Ann. Neurol. 85, 618–629 (2019).

    Article  PubMed  Google Scholar 

  87. Petzold, A. et al. Retinal asymmetry in multiple sclerosis. Brain 144, 224–235 (2020).

    Article  PubMed Central  Google Scholar 

  88. Filippatou, A. et al. Spinal cord and infratentorial lesions in radiologically isolated syndrome are associated with decreased retinal ganglion cell/inner plexiform layer thickness. Mult. Scler. J. 25, 1878–1887 (2019).

    Article  CAS  Google Scholar 

  89. Vural, A. et al. Retinal degeneration is associated with brain volume reduction and prognosis in radiologically isolated syndrome. Mult. Scler. J. 26, 38–47 (2020).

    Article  CAS  Google Scholar 

  90. Brettschneider, J., Petzold, A., Junker, A. & Tumani, H. Axonal damage markers in the cerebrospinal fluid of patients with clinically isolated syndrome improve predicting conversion to definite multiple sclerosis. Mult. Scler. 12, 143–148 (2006).

    Article  CAS  PubMed  Google Scholar 

  91. Rejdak, K., Petzold, A., Stelmasiak, Z. & Giovannoni, G. Cerebrospinal fluid brain specific proteins in relation to nitric oxide metabolites during relapse of multiple sclerosis. Mult. Scler. 14, 59–66 (2008).

    Article  CAS  PubMed  Google Scholar 

  92. Holmes, R. D. et al. Nonlesional diffusely abnormal appearing white matter in clinically isolated syndrome: prevalence, association with clinical and MRI features, and risk for conversion to multiple sclerosis. J. Neuroimaging https://doi.org/10.1111/jon.12900 (2021).

    Article  PubMed  Google Scholar 

  93. Laule, C. et al. Diffusely abnormal white matter in multiple sclerosis: further histologic studies provide evidence for a primary lipid abnormality with neurodegeneration. J. Neuropathol. Exp. Neurol. 72, 42–52 (2013).

    Article  CAS  PubMed  Google Scholar 

  94. Bosca, I. et al. The risk of relapse after a clinically isolated syndrome is related to the pattern of oligoclonal bands. J. Neuroimmunol. 226, 143–146 (2010).

    Article  CAS  PubMed  Google Scholar 

  95. Corvol, J.-C. et al. Abrogation of T cell quiescence characterizes patients at high risk for multiple sclerosis after the initial neurological event. Proc. Natl Acad. Sci. USA 105, 11839–11844 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  96. Gross, C. C. et al. Classification of neurological diseases using multi-dimensional CSF analysis. Brain 144, 2625–2634 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  97. Hahn, J. et al. Vitamin D and marine omega 3 fatty acid supplementation and incident autoimmune disease: VITAL randomized controlled trial. BMJ 376, e066452 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  98. Sun, C. C. et al. Women’s preferences for cancer risk management strategies in Lynch syndrome. Gynecol. Oncol. 152, 514–521 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  99. Singhal, J. et al. Public perceptions of predictive testing for rheumatoid arthritis compared to breast cancer and early-onset Alzheimer’s disease: a qualitative study. BMC Rheumatol. 6, 14 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  100. Collins, J., Ryan, L. & Truby, H. A systematic review of the factors associated with interest in predictive genetic testing for obesity, type II diabetes and heart disease. J. Hum. Nutr. Diet. 27, 479–488 (2014).

    Article  CAS  PubMed  Google Scholar 

  101. Almohmeed, Y. H., Avenell, A., Aucott, L. & Vickers, M. A. Systematic review and meta-analysis of the sero-epidemiological association between Epstein Barr virus and multiple sclerosis. PLoS One 8, e61110 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  102. De Jager, P. L. et al. Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score. Lancet Neurol. 8, 1111–1119 (2009).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  103. Ascherio, A. & Munger, K. L. Epidemiology of multiple sclerosis: from risk factors to prevention — an update. Semin. Neurol. 36, 103–114 (2016).

    Article  PubMed  Google Scholar 

  104. Liu, Z. et al. Excess body weight during childhood and adolescence is associated with the risk of multiple sclerosis: a meta-analysis. Neuroepidemiology 47, 103–108 (2016).

    Article  PubMed  Google Scholar 

  105. Kingwell, E. et al. Incidence and prevalence of multiple sclerosis in Europe: a systematic review. BMC Neurol. 13, 128 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  106. De Jager, P. L. et al. Integrating risk factors: HLA-DRB1*1501 and Epstein-Barr virus in multiple sclerosis. Neurology 70, 1113–1118 (2008).

    Article  PubMed  CAS  Google Scholar 

  107. Tintore, M. et al. Do oligoclonal bands add information to MRI in first attacks of multiple sclerosis? Neurology 70, 1079–1083 (2008).

    Article  CAS  PubMed  Google Scholar 

  108. Handel, A. et al. Smoking and multiple sclerosis: an updated meta-analysis. PLoS One 6, e16149 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The workshop from which this Roadmap was generated was supported by the Multiple Sclerosis Society of Canada and the National Multiple Sclerosis Society. R.A.M. is supported by the Waugh Family Chair in Multiple Sclerosis and Research Manitoba. The authors thank Margarita Lin for assistance with the preparation of tables. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Contributions

R.A.M. and H.T. researched data for the article. R.A.M., L.F.B., C.Greenbaum., C.L.-F., D.T.O., R.B.P., J.A.Q., S.S. and H.T. contributed to the writing of the manuscript. R.A.M., M.A., L.F.B., B.B., P.A.C., J.C., P.L.D.J., C.Gasperi, C.Greenbaum, A.H., B.H., W.K., D.L., C.L.-F., N.M., K.L.M., D.T.O., D.O., R.B.P., J.A.Q., S.S., M.P.S., J.S., K.M.Z. and H.T. made substantial contributions to the discussion of content. All authors reviewed and edited the manuscript before submission.

Corresponding author

Correspondence to Ruth Ann Marrie.

Ethics declarations

Competing interests

R.A.M. receives research funding from the Canadian Institutes of Health Research, Consortium of Multiple Sclerosis Centers, Crohn’s and Colitis Canada, Multiple Sclerosis Scientific Foundation, Multiple Sclerosis Society of Canada, National Multiple Sclerosis Society, Research Manitoba and the US Department of Defense, and is a co-investigator on studies that receive funding from Biogen Idec and Roche Canada. L.F.B. receives research funding from the National Institutes of Health/National Institute of Nursing Research and the National Multiple Sclerosis Society. P.A.C. is a principal investigator on grants to Johns Hopkins University from Genentech and Principia and has received consulting fees from Avidea, Biogen, Disarm and Nerveda. J.C. has received financial compensation for academic presentations, attended advisory boards, research programmes, and assistance for travel to congresses from Bayer, Biogen, Bristol Myers Squibb, Gador, Janssen, Merck, Novartis, Raffo, Roche and Sanofi-Genzyme. P.L.D.J. is on the advisory board for Biogen, Celgene, Genzyme and Roche, and has sponsored research agreements with Biogen and Roche. C. Gasperi receives research support from the German Federal Ministry of Education and Research (BMBF), the German Research Foundation (Deutsche Forschungsgesellschaft, DFG), the Hans and Klementia Langmatz Stiftung and the Hertie Foundation. C. Greenbaum has served on an advisory board for Merck, receives funding for investigator-initiated trials from Bristol Myers Squibb and Janssen, and serves as Principal Investigator on clinical trials sponsored by Intrexon, Pfizer and ProventionBio. A.H. is an employee of the Multiple Sclerosis International Federation, which receives income from a range of corporate sponsors, recently including Biogen, Bristol Myers Squibb, Janssen, Merck, Mylan, Novartis, Roche and Sanofi. B.H. has served on scientific advisory boards for Novartis and as Data Safety Monitoring Committee member for AllergyCare, Polpharma and TG Therapeutics. He and his institution have received speaker honoraria from Desitin. His institution has received research grants from Regeneron for multiple sclerosis research. He holds part of two patents: one for the detection of antibodies against KIR4.1 in a subpopulation of patients with multiple sclerosis and one for genetic determinants of neutralizing antibodies to interferon. C.L.-F. has participated in expert advisory boards for Genzyme, Novartis and Roche. Speaker honoraria are either declined or donated to the University Hospital Radiologically Isolated Syndrome Research Unit, University Cote d’Azur, Nice, France. N.M. is funded by NIH/NINDS (grant number K23NS101099) and the Charles H. Hood Foundation. K.L.M. has received personal compensation for serving on a scientific advisory board for Biogen. D.T.O. has received personal compensation for consulting and advisory services from Biogen, Celgene, EMD Serono, Genzyme, Janssen Pharmaceuticals, Novartis, Osmotica and Viela Bio, and has received research support from Biogen. D.T.O. also has issued and pending patents and has received royalties related to licensed intellectual property. D.O. receives research support from Genentech, Genzyme, National Institutes of Health, National Multiple Sclerosis Society, Novartis, Patient Centered Outcomes Research Institute, and Race to Erase MS Foundation. He has received consulting fees from Biogen Idec, Genentech/Roche, Genzyme, Janssen, Merck and Novartis. R.B.P. has received grants and personal fees from Fonds de la Recherche en Sante and Roche; grants from the Canadian Institute of Health Research, the Michael J. Fox Foundation, the National Institute of Health, the Parkinson Society of Canada, the Webster Foundation and the Weston-Garfield Foundation; and personal fees from Abbvie, Biogen, Boehringer Ingelheim, GE HealthCare, Inception Sciences, Jansen, Jazz Pharmaceuticals, Otsuko, Paladin, Phytopharmics, Takeda, Teva Neurosciences, and Theranexus. J.A.Q. receives research funding from the Multiple Sclerosis Society of Canada and the National Multiple Sclerosis Society. S.R. serves on the Patient Editorial Board for the Journal of Neurology, Neurosurgery and Psychiatry, and University of British Columbia BC Brain Wellness Program Participant Advisory Committee. S.S. has received consulting fees from Medical Logix for the development of Continuing Medical Education programmes in neurology and has served as a consultant for Biogen, Bristol Meyers Squibb, Genentech Novartis and TG Therapeutics. He is the Principal Investigator of investigator-initiated studies funded by Biogen and Genentech, was the site investigator of a trial sponsored by MedDay Pharmaceuticals, and has received support from the Race to Erase MS Foundation. He has received equity compensation for consulting from JuneBrain LLC. M.P.S. has received personal fees from Biogen, Celgene, Geneuro, GlaxoSmithKline, Immunic, Medday, Merck, Novartis, Roche and Sanofi. J.S. is the host of the RealTalk MS podcast. He has received sponsorship fees from Bristol Myers Squibb, EMD Serono, Janssen Pharmaceuticals and the National Multiple Sclerosis Society. He has received travel expenses from the Accelerated Cure Project, EMD Serono, the National Multiple Sclerosis Society and the International Progressive Multiple Sclerosis Alliance. He has received speaking honoraria from EMD Serono, the European Multiple Sclerosis Platform and Novartis. He has received consulting fees from Merck. He is currently co-Principal Investigator on research conducted through iConquer MS and underwritten by EMD Serono. H.T. is the Canada Research Chair for Neuroepidemiology and Multiple Sclerosis. Current research support is received from the Canadian Institutes of Health Research, the Multiple Sclerosis Scientific Research Foundation, the Multiple Sclerosis Society of Canada and the National Multiple Sclerosis Society. In addition, in the past 5 years, she has received research support from the UK Multiple Sclerosis Trust; travel expenses to present at Continuing Medical Education conferences from the Americas Committee for Treatment and Research in Multiple Sclerosis, the American Academy of Neurology, the Consortium of MS Centres (2018), the European Committee for Treatment and Research in Multiple Sclerosis and the National MS Society. Speaker honoraria are either declined or donated to a multiple sclerosis charity or to an unrestricted grant for use by H.T.’s research group. All other authors declare no competing interests.

Peer review

Peer review information

Nature Reviews Neurology thanks B. Weinstock-Guttman and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Marrie, R.A., Allegretta, M., Barcellos, L.F. et al. From the prodromal stage of multiple sclerosis to disease prevention. Nat Rev Neurol 18, 559–572 (2022). https://doi.org/10.1038/s41582-022-00686-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41582-022-00686-x

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing