gMS-Classifier1 does not predict disability progression in multiple sclerosis
Authors
van Rossum, Johannis A.Killestein, Joep
Villar, Luisa M.
Riskind, Peter N.
Freedman, Mark S.
Teunissen, Charlotte
UMass Chan Affiliations
Memorial Multiple Sclerosis Center, UMass Memorial Medical CenterDepartment of Neurology
Document Type
Journal ArticlePublication Date
2019-06-01Keywords
multiple sclerosisbiomarkers
gMS-Classifier1
Amino Acids, Peptides, and Proteins
Biological Factors
Immune System Diseases
Nervous System Diseases
Pathological Conditions, Signs and Symptoms
Metadata
Show full item recordAbstract
Several clinical, immunological and radiological biomarkers have been shown to predict the disease course of multiple sclerosis (MS).One potential serum marker is the gMS-Classifier1, which is composed of IgM anti-Glc antibodies, namely anti-GAGA 2,3,4 and 6. Previous work demonstrated that the gMS-Classifier1 could not predict early conversion to clinically definite MS in a cohort of clinically isolated syndrome (CIS) patients, but predicted Expanded Disability Status Scale (EDSS) progression. Significance, however, was dependent on covariates, and confirmation in an independent study was required. The aim of this study was to test if the gMS-Classifier1 could predict early disability progression in a large multicenter cohort of patients with CIS or relapse-onset MS.Source
Mult Scler. 2019 Jun;25(7):1010-1011. doi: 10.1177/1352458518798048. Epub 2018 Aug 31. Link to article on publisher's site
DOI
10.1177/1352458518798048Permanent Link to this Item
http://hdl.handle.net/20.500.14038/41103PubMed ID
30168749Related Resources
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© The Author(s), 2018. Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)Distribution License
http://creativecommons.org/licenses/by-nc/4.0/ae974a485f413a2113503eed53cd6c53
10.1177/1352458518798048
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Except where otherwise noted, this item's license is described as © The Author(s), 2018. Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)