News

Article

NeurologyLive

November 2021
Volume4
Issue 6

The State of Biomarkers in Multiple Sclerosis

As the field of MS care turns its sights on addressing progressive disease, the need for more biomarkers of disease activity and therapeutic target engagement is perhaps greater than ever.

Tirisham Gyang, MD, Program Director, Multiple Sclerosis Fellowship; Neurologist, The Ohio State Neurological Institute

Tirisham Gyang, MD

Torge Rempe, MD, Assistant Professor of Neurology, University of Florida

Torge Rempe, MD

IN THE FIELD OF multiple sclerosis (MS) there has been an ongoing search for ideal biomarkers to aid in the diagnosis of MS, prognostication, evaluation for ongoing subclinical disease activity, assessment for evidence of progressive disease, determination of adequate treatment response, and guiding the choice of safe disease-modifying therapies (DMTs). A biomarker should, therefore, ideally correlate with disease activity, progression, and treatment effects. The utility of a biomarker is also determined by its cost effectiveness, safety, practicality, and availability in routine clinical practice. The value of a biomarker is its ability to predict, correlate, and serve as a surrogate for a clinical state or outcome. The relevance of reliable biomarkers has strong clinical implications and affects the timeliness of diagnosis; the selection of safe, personalized, and effective DMTs; and the characterization of the phenotypic profile of a patient with MS.

In this outline, we present a selection of different established and novel biomarkers that are expected to have increasing clinical applications in coming years.

Laboratory Biomarkers

Oligoclonal bands

The detection of oligoclonal immunoglobulin bands in the cerebrospinal fluid (CSF) by isoelectric focusing on the absence of corresponding bands in the serum indicates an intrathecal production of antibodies. As 2 or more isolated oligoclonal bands (OCBs) are present in more than 95% of persons with MS (PwMS),1 such presence of isolated OCB has been included in the 2017 modified McDonald diagnostic criteria as a substitute for the criterion of dissemination in time. Further, the absence of isolated CSF OCB has a high negative predictive value for MS.2,3 However, the presence of OCB is not specific to MS4 and can be found in a variety of inflammatory (autoimmune and paraneoplastic encephalitides, neurosarcoidosis, systemic lupus erythematosus, neurologic Behcet disease, neurologic Sjögren syndrome) and infectious (herpes encephalitis, neuroborreliosis, neurotuberculosis) central nervous system (CNS) diseases.3 High-positive results (≥10 isolated OCB in the CSF) also have a prognostic value as they have been shown to correlate with higher annualized clinical and radiographic relapse rates.5 The clear downside of OCB as a biomarker is that for clinicians to obtain CSF, patients need to undergo an invasive procedure.

Neurofilament light chains

Neurofilament light chains (NfLs) are neuronal cytoskeletal components involved in axonal transport and can be detected in the setting of axonal or neuronal damage. Although they are nonspecifically elevated in response to neuroaxonal damage, they are considered a promising surrogate marker for clinical and radiographic disease activity in MS. Even though their concentration is significantly lower in serum compared with CSF (approximately 1:200), NfLs can now be detected and quantified in the serum with the help of ultrasensitive single molecule arrays. Given a good correlation between serum and CSF levels, NfLs have significant potential as a serologic biomarker.6-8 High and increasing serum NfL levels have been shown to correspond to clinical (Expanded Disability Status Scale [EDSS]) and radiographic evidence of disease activity (number of gadolinium-enhancing lesions, new or enlarging T2/ fluid-attenuated inversion recovery [FLAIR] lesions, increased brain and spinal cord atrophy rates).9,10 They can serve as a marker of treatment response with a demonstrated decrease of NfL levels in response to treatment with a variety of DMTs and after autologous hematopoietic stem cell transplantation.7,11 Baseline NfL levels are also potential biomarkers of prognostication as PwMS with lower NfL baseline levels are less likely to develop disability (EDSS, ≥ 4) and transition to secondary progressive MS.12

Data from phase 3 trials in progressive disease show that high baseline NfL concentrations are associated with higher atrophy rates and disability worsening. Compared with placebo, a significant decrease in NfL has been shown with different DMTs in their respective phase 3 trials for primary progressive (ocrelizumab, fingolimod) and secondary progressive (natalizumab, siponimod) MS. This contrasts with the primary clinical end point, which was not reached with 2 of the trialed medications (natalizumab and fingolimod). This could put into question the clinical value of NfL levels at least as a tool of measurement of treatment response in progressive disease.13-17 Nonetheless, the utility of serum NfL as a biomarker appears high and with expected availability in different commercial laboratories, their use in clinical practice will likely become more frequent.

Glial fibrillary acidic protein

Another promising serological biomarker candidate is the astroglial cytoskeletal glial fibrillary acidic protein (GFAP) as a surrogate marker of reactive astrogliosis with good correlations of GFAP CSF and serum concentrations. Higher GFAP serum levels have been shown to be associated with disease severity, duration, and progressive disease course. In particular, GFAP may have potential as a disease severity marker in progressive disease.18-20

Ocular Biomarkers

Ocular coherence tomography

Ocular coherence tomography (OCT) is the most established and promising ocular biomarker in MS. Its clear advantage is its relative cost efficiency and availability, which makes it easy to obtain baseline and repeat assessments in the clinic setting. Retinal nerve fiber layer (RNFL) thinning has been repeatedly shown to be more severe in progressive compared with relapsing-remitting MS (RRMS),21-25 and in advanced stages of the disease.22 Furthermore, RNFL thinning correlates with clinical scores (EDSS, MS functional composite) as well as atrophy in magnetic resonance imaging (MRI),26,27 and is associated with an increased risk of disability worsening.28

Eye-tracking devices

Novel eye-tracking devices also could become a future biomarker as they can detect subclinical efferent dysfunction in both saccades and smooth pursuit that correlates to clinical scores (EDSS, timed 25-ft walk).29-31

Magnetic Resonance Imaging

T2/FLAIR hyperintense lesions and gadolinium-enhanced T1 lesions have been long recognized as an important biomarker for the diagnosis of MS and subsequent monitoring for ongoing disease activity. In the setting of a single clinical attack consistent of a typical MS syndrome, a diagnosis of clinically definite MS can be achieved by radiographic determination of dissemination in space (≥ 2 of the following specific areas of the CNS: periventricular, juxtacortical/cortical, infratentorial, and spinal cord) and time (coexistence of enhancing and nonenhancing lesions or interval development of a new lesion in MRI).2

Central vein sign

The vein located in the center of MS lesions can frequently be determined by MRI, especially in periventricular lesions. Evidence is growing that this “central vein sign” has the potential to be a useful biomarker to distinguish MS lesions from other white matter lesions.32

Paramagnetic rim lesions

Paramagnetic rim lesions are another finding that can help differentiate MS lesions from white matter lesions of a different etiology.33 Furthermore, they are a potential biomarker of chronic inflammation with decreased lesion volume shrinkage and increased interval development of T1 hypointensity. Histopathologically, they are the correlate of iron-laden inflammatory myeloid cells located at the rim of chronic demyelinated lesions.34

Spinal cord

Spinal cord MRI can be an important prognostic tool as the presence of spinal cord lesions is associated with a higher MS risk in clinically isolated syndrome and a higher risk for development of MS-related disability.35,36 Furthermore, the presence of baseline spinal cord lesions is associated with later development of secondary progressive MS.37

Monitoring

MRI is a sensitive monitoring tool to evaluate for subclinical disease activity and adequate response to DMT. The goal of “no evidence of disease activity” is determined by the absence of 3 measures (NEDA-3): clinical relapses, clinical disability progression, and the radiographic absence of new T2 and/or gadolinium-enhanced T1 lesions. However, the absence of accelerated brain volume loss has been proposed as an important fourth criterion (NEDA-4).38 The determination of brain and spinal cord (mean upper cervical cord area) atrophy by segmentation tools has indeed become a common radiographic research metric for progressive MS trials. However, even though volumetric assessments are now commercially available, their utility in clinical practice is still severely limited due to significant noise and a high degree of variability across scanners and segmentation tools.

Guiding Treatment Choice, Safety, and Treatment Effectiveness

More than 20 DMTs are approved for use in different MS phenotypes, and these drugs come with a wide degree of variability in their mechanism of action. When considering DMT options, factors such as efficacy, tolerability, safety, and long-term outcomes are typically assessed. Biomarkers are often employed to determine the safety, biologic effects, and efficacy of DMTs prior to initiation and during therapy.

John Cunningham virus antibody index

Natalizumab, a humanized antibody to α4 integrin, prevents the entry of lymphocytes into the CNS and was approved for the treatment of RRMS in 2004.39 Not long after its approval, an association with progressive multifocal leukoencephalopathy (PML), an opportunistic infection caused by the John Cunningham virus (JCV), emerged and led to the voluntary withdrawal of the drug from the market in 2005.40 After careful investigation of PML risk factors, the medication was reintroduced into the market with very clear guidelines to regulate its use. The presence of anti-JCV antibodies, treatment duration longer than 24 months, and prior exposure to immunosuppressive therapy have been identified as significant risk factors for the development of PML with the use of natalizumab and are used for risk stratification.40-42 The anti-JCV antibody index has emerged as a biomarker that reliably predicts the risk of natalizumab-associated PML. Hence it is used in clinical practice to guide treatment selection and monitored periodically during natalizumab therapy to mitigate the risk of PML. However, its utility in assessing PML risk with other DMTs such as fumarates, sphingosine-1 phosphate receptor modulators, and anti- CD20 agents is limited, and routine monitoring with these DMTs is overall not recommended.41,43

Absolute lymphocyte count

Certain DMTs have been associated with lymphopenia and the absolute lymphocyte count (ALC) serves as a safety biomarker during the use of these treatments. For instance, approximately 17% of patients treated with dimethyl fumarate (DMF) develop grade 2-3 lymphopenia.44 In PwMS treated with DMF, persistent lymphopenia has been found as a potential risk factor for PML.41,45,46 Therefore, ALC monitoring is necessary in patients receiving DMF to identify those at risk for complications. Other DMTs associated with lymphopenia include fingolimod and other sphingosine-1 phosphate receptor modulators, alemtuzumab, cladribine, and teriflunomide.47,48 With some DMTs, lymphopenia may be associated with complications, therefore the ALC is a reliable biomarker in risk stratification before and during therapy.

CD19 lymphocyte count

The CD19 lymphocyte count is a biomarker for treatment response in patients treated with B-lymphocyte depleting drugs such as ocrelizumab, rituximab, and ofatumumab, and this test can serve as a biomarker for individualized dosing strategies.49 Baseline CD19 count has been shown to predict B-lymphocyte repopulation in patients treated with ocrelizumab.50 Monitoring of the CD19 lymphocytes in these patients can aid in a more individualized dosing approach through determination of individual B-lymphocyte repopulation rates and detection of early repopulation.

Neutralizing antibodies

Natalizumab, interferon β, and rituximab therapies have been associated with neutralizing antibodies (Nabs) in a subset of patients treated with these medications. The incidence of persistent antinatalizumab antibody is reported to be about 6% and associated with suboptimal clinical response and persistent infusion reactions.51 Neutralizing antibodies against interferon β have also been recognized as a factor that leads to poor efficacy.52 Evaluating for Nabs in patients treated with these DMTs may be relevant, as this test serves as a biomarker for efficacy and safety.

Closing Remarks

Biomarkers have strong clinical significance and are relevant in the diagnosis, prognostication, treatment selection and response, and safety monitoring in MS management. It is critically important for clinicians to understand how to utilize the currently available biomarkers to enhance clinical care and optimize the long-term outcomes of PwMS. Further research is ongoing to discover and develop novel biomarkers in multiple sclerosis.

REFERENCES
1. Link H, Huang YM. Oligoclonal bands in multiple sclerosis cerebrospinal fluid: an update on methodology and clinical usefulness. J Neuroimmunol. 2006;180(1-2):17-28. doi:10.1016/j.jneuroim.2006.07.006
2. Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17(2):162-173. doi:10.1016/S1474-4422(17)30470-2
3. Deisenhammer F, Zetterberg H, Fitzner B, Zettl UK. The cerebrospinal fluid in multiple sclerosis. Front Immunol. 2019;10:726. doi:10.3389/fimmu.2019.00726
4. Petzold A. Intrathecal oligoclonal IgG synthesis in multiple sclerosis. J Neuroimmunol. 2013;262(1-2):1-10. doi:10.1016/j.jneuroim.2013.06.014
5. Perrone C, Berger J, Markowitz C. Oligoclonal band number correlates with relapses and progression in multiple sclerosis. Presented at: Consortium of Multiple Sclerosis Centers Annual Meeting; May 30-June 2, 2018; Nashville, TN.
6. Disanto G, Barro C, Benkert P, et al; Swiss Multiple Sclerosis Cohort Study Group. Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis. Ann Neurol. 2017;81(6):857-870. doi:10.1002/ana.24954
7. Freedman MS. The search for relevant biomarkers in MS, 2021. Presented at: CMSC Annual Meeting; October 25-28, 2021; Orlando, FL.
8. Ziemssen T, Akgün K, Brück W. Molecular biomarkers in multiple sclerosis. J Neuroinflammation. 2019;16(1):272. doi:10.1186/s12974-019-1674-2
9. Barro C, Benkert P, Disanto G, et al. Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis. Brain. 2018;141(8):2382-2391. doi:10.1093/brain/awy154
10. Kuhle J, Nourbakhsh B, Grant D, et al. Serum neurofilament is associated with progression of brain atrophy and disability in early MS. Neurology. 2017;88(9):826-831. doi:10.1212/WNL.0000000000003653
11. Thebault S, Tessier DR, Lee H, et al. High serum neurofilament light chain normalizes after hematopoietic stem cell transplantation for MS. Neurol Neuroimmunol Neuroinflamm. 2019;6(5):e598. doi:10.1212/NXI.0000000000000598
12. Thebault S, Abdoli M, Fereshtehnejad SM, Tessier D, Tabard-Cossa V, Freedman MS. Serum neurofilament light chain predicts long term clinical outcomes in multiple sclerosis. Sci Rep. 2020;10(1):10381. doi:10.1038/s41598-020-67504-6
13. Kapoor R, Ho PR, Campbell N, et al; ASCEND Investigators. Effect of natalizumab on disease progression in secondary progressive multiple sclerosis (ASCEND): a phase 3, randomised, double-blind, placebo-controlled trial with an open-label extension. Lancet Neurol. 2018;17(5):405-415. doi:10.1016/S1474-4422(18)30069-3
14. Kapoor R, Smith KE, Allegretta M, et al. Serum neurofilament light as a biomarker in progressive multiple sclerosis. Neurology. 2020;95(10):436-444. doi:10.1212/WNL.0000000000010346
15. Kappos L, Bar-Or A, Cree BAC, et al; EXPAND Clinical Investigators. Siponimod versus placebo in secondary progressive multiple sclerosis (EXPAND): a double-blind, randomised, phase 3 study. Lancet. 2018;391(10127):1263-1273. Published correction appears in Lancet. 2018;392(10160):2170. doi:10.1016/S0140-6736(18)30475-6
16. Lublin F, Miller DH, Freedman MS, et al; INFORMS Study Investigators. Oral fingolimod in primary progressive multiple sclerosis (INFORMS): a phase 3, randomised, double-blind, placebo-controlled trial. Lancet. 2016;387(10023):1075-1084. Published correction appears in Lancet. 2017;389(10066):254. doi:10.1016/S0140-6736(15)01314-8
17. Montalban X, Hauser SL, Kappos L, et al; ORATORIO Clinical Investigators. Ocrelizumab versus placebo in primary progressive multiple sclerosis. N Engl J Med. 2017;376(3):209-220. doi:10.1056/NEJMoa1606468
18. Abdelhak A, Huss A, Kassubek J, Tumani H, Otto M. Serum GFAP as a biomarker for disease severity in multiple sclerosis. Sci Rep. 2018;8(1):14798. Published correction appears in Sci Rep. 2019;9(1):8433. doi:10.1038/s41598-018-33158-8
19. Ayrignac X, Le Bars E, Duflos C, et al. Serum GFAP in multiple sclerosis: correlation with disease type and MRI markers of disease severity. Sci Rep. 2020;10(1):10923. doi:10.1038/s41598-020-67934-2
20. Högel H, Rissanen E, Barro C, et al. Serum glial fibrillary acidic protein correlates with multiple sclerosis disease severity. Mult Scler. 2020;26(2):210-219. doi:10.1177/1352458518819380
21. Alonso R, Gonzalez-Moron D, Garcea O. Optical coherence tomography as a biomarker of neurodegeneration in multiple sclerosis: a review. Mult Scler Relat Disord. 2018;22:77-82. doi:10.1016/j.msard.2018.03.007
22. Gelfand JM, Goodin DS, Boscardin WJ, Nolan R, Cuneo A, Green AJ. Retinal axonal loss begins early in the course of multiple sclerosis and is similar between progressive phenotypes. PLoS One. 2012;7(5):e36847. doi:10.1371/journal.pone.0036847
23. Pulicken M, Gordon-Lipkin E, Balcer LJ, Frohman E, Cutter G, Calabresi PA. Optical coherence tomography and disease subtype in multiple sclerosis. Neurology. 2007;69(22):2085-2092. doi:10.1212/01.wnl.0000294876.49861.dc
24. Saidha S. Optical coherence tomography (OCT) in MS. Presented at: CMSC Annual Meeting; October 25-28, 2021; Orlando, FL.
25. Sotirchos ES, Gonzalez Caldito N, Filippatou A, et al. Progressive multiple sclerosis is associated with faster and specific retinal layer atrophy. Ann Neurol. 2020;87(6):885-896. doi:10.1002/ana.25738
26. Fisher JB, Jacobs DA, Markowitz CE, et al. Relation of visual function to retinal nerve fiber layer thickness in multiple sclerosis. Ophthalmology. 2006;113(2):324-332. doi:10.1016/j.ophtha.2005.10.040
27. Saidha S, Al-Louzi O, Ratchford JN, et al. Optical coherence tomography reflects brain atrophy in multiple sclerosis: a four-year study. Ann Neurol. 2015;78(5):801-813. doi:10.1002/ana.24487
28. Martinez-Lapiscina EH, Arnow S, Wilson JA, et al; IMSVISUAL Consortium. Retinal thickness measured with optical coherence tomography and risk of disability worsening in multiple sclerosis: a cohort study. Lancet Neurol. 2016;15(6):574-584. doi:10.1016/S1474-4422(16)00068-5
29. Lizak N, Clough M, Millist L, Kalincik T, White OB, Fielding J. Impairment of smooth pursuit as a marker of early multiple sclerosis. Front Neurol. 2016;7:206. doi:10.3389/fneur.2016.00206
30. Rempe T, Dastgheyb N, Miner A, et al. Quantification of smooth pursuit dysfunction in multiple sclerosis. Mult Scler Relat Disord. 2021;54:103073. doi:10.1016/j.msard.2021.103073
31. Yousef A, Devereux M, Gourraud PA, et al. Subclinical saccadic eye movement dysfunction in pediatric multiple sclerosis. J Child Neurol. 2019;34(1):38-43. doi:10.1177/0883073818807787
32. Sati P, Oh J, Constable RT, et al; NAIMS Cooperative. 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. 2016;12(12):714-722. doi:10.1038/nrneurol.2016.166
33. Maggi P, Sati P, Nair G, et al. Paramagnetic rim lesions are specific to multiple sclerosis: an international multicenter 3T MRI study. Ann Neurol. 2020;88(5):1034-1042. doi:10.1002/ana.25877
34. Absinta M, Sati P, Schindler M, et al. Persistent 7-tesla phase rim predicts poor outcome in new multiple sclerosis patient lesions. J Clin Invest. 2016;126(7):2597-2609. doi:10.1172/JCI86198
35. Arrambide G, Rovira A, Sastre-Garriga J, et al. Spinal cord lesions: a modest contributor to diagnosis in clinically isolated syndromes but a relevant prognostic factor. Mult Scler. 2018;24(3):301-312. doi:10.1177/1352458517697830
36. Brownlee WJ, Altmann DR, Alves Da Mota P, et al. Association of asymptomatic spinal cord lesions and atrophy with disability 5 years after a clinically isolated syndrome. Mult Scler. 2017;23(5):665-674. doi:10.1177/1352458516663034
37. Brownlee WJ, Altmann DR, Prados F, et al. Early imaging predictors of long-term outcomes in relapse-onset multiple sclerosis. Brain. 2019;142(8):2276-2287. doi:10.1093/brain/awz156
38. Kappos L, De Stefano N, Freedman MS, et al. Inclusion of brain volume loss in a revised measure of 'no evidence of disease activity' (NEDA-4) in relapsing-remitting multiple sclerosis. Mult Scler. 2016;22(10):1297-1305. doi:10.1177/1352458515616701
39. Steinman L. The discovery of natalizumab, a potent therapeutic for multiple sclerosis. J Cell Biol. 2012;199(3):413-416. doi:10.1083/jcb.201207175
40. Bloomgren G, Richman S, Hotermans C, et al. Risk of natalizumab-associated progressive multifocal leukoencephalopathy. N Engl J Med. 2012;366(20):1870-1880. doi:10.1056/NEJMoa1107829
41. Bartsch T, Rempe T, Leypoldt F, et al. The spectrum of progressive multifocal leukoencephalopathy: a practical approach. Eur J Neurol. 2019;26(4):566-e41. doi:10.1111/ene.13906
42. Plavina T, Subramanyam M, Bloomgren G, et al. Anti-JC virus antibody levels in serum or plasma further define risk of natalizumab-associated progressive multifocal leukoencephalopathy. Ann Neurol. 2014;76(6):802-812. doi:10.1002/ana.24286
43. Rempe T, Carlson A, Miravalle A, Gyang TV. Anti-JCV antibody index does not change during ocrelizumab-treatment. Mult Scler J Exp Transl Clin. 2020;6(3):2055217320960510. doi:10.1177/2055217320960510
44. Longbrake EE, Naismith RT, Parks BJ, Wu GF, Cross AH. Dimethyl fumarate-associated lymphopenia: risk factors and clinical significance. Mult Scler J Exp Transl Clin. 2015;1:2055217315596994. doi:10.1177/2055217315596994
45. Bartsch T, Rempe T, Wrede A, et al. Progressive neurologic dysfunction in a psoriasis patient treated with dimethyl fumarate. Ann Neurol. 2015;78(4):501-514. doi:10.1002/ana.24471
46. Jordan AL, Yang J, Fisher CJ, Racke MK, Mao-Draayer Y. Progressive multifocal leukoencephalopathy in dimethyl fumarate-treated multiple sclerosis patients. Mult Scler. 2020;1352458520949158. doi:10.1177/1352458520949158\
47. Fox EJ, Buckle GJ, Singer B, Singh V, Boster A. Lymphopenia and DMTs for relapsing forms of MS: considerations for the treating neurologist. Neurol Clin Pract. 2019;9(1):53-63. Published correction appears in Neurol Clin Pract. 2019;9(3):184. doi:10.1212/CPJ.0000000000000567
48. Schweitzer F, Laurent S, Fink GR, Barnett MH, Hartung HP, Warnke C. Effects of disease-modifying therapy on peripheral leukocytes in patients with multiple sclerosis. J Neurol. 2021;268(7):2379-2389. doi:10.1007/s00415-019-09690-6
49. Ellrichmann G, Bolz J, Peschke M, et al. Peripheral CD19+ B-cell counts and infusion intervals as a surrogate for long-term B-cell depleting therapy in multiple sclerosis and neuromyelitis optica/neuromyelitis optica spectrum disorders. J Neurol. 2019;266(1):57-67. doi:10.1007/s00415-018-9092-4
50. Abbadessa G, Miele G, Cavalla P, et al. CD19 cell count at baseline predicts B cell repopulation at 6 and 12 months in multiple sclerosis patients treated with ocrelizumab. Int J Environ Res Public Health. 2021;18(15):8163. doi:10.3390/ijerph18158163
51. Calabresi PA, Giovannoni G, Confavreux C, et al; AFFIRM and SENTINEL Investigators. The incidence and significance of anti-natalizumab antibodies: results from AFFIRM and SENTINEL. Neurology. 2007;69(14):1391-1403. doi:10.1212/01.wnl.0000277457.17420.b5
52. Kappos L, Clanet M, Sandberg-Wollheim M, et al; European Interferon Beta-1a IM Dose-Comparison Study Investigators. Neutralizing antibodies and efficacy of interferon beta-1a: a 4-year controlled study. Neurology. 2005;65(1):40-47. doi:10.1212/01.wnl.0000171747.59767.5c
Related Videos
2 experts in this video
2 experts in this video
Aprile Royal, RN, BA, MEd
2 experts in this video
2 experts in this video
2 experts in this video
2 experts in this video
David A. Hafler, MD, FANA
Robert J. Fox, MD; Andreas Muehler, MD, MBA
© 2024 MJH Life Sciences

All rights reserved.