Biological Markers in Early Multiple Sclerosis: the Paved Way for Radiologically Isolated Syndrome.

Kappa free-light chain index (kFLC index) biomarkers glial fibrillary acidic protein (GFAP) multiple sclerosis (MS) neurofilament-light chain (NfL) personalized medicine prognosis radiologically isolated syndrome (RIS)

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2022
Historique:
received: 30 01 2022
accepted: 28 03 2022
entrez: 16 5 2022
pubmed: 17 5 2022
medline: 20 5 2022
Statut: epublish

Résumé

Radiologically Isolated Syndrome (RIS) is characterized by MRI-typical brain lesions fulfilling the 2009 Okuda criteria, detected in patients without clinical conditions suggestive of MS. Half of all RIS patients convert to MS within 10 years. The individual course of the disease, however, is highly variable with 12% of RIS converting directly to progressive MS. Demographic and imaging markers have been associated with the risk of clinical MS in RIS: male sex, younger age, infra-tentorial, and spinal cord lesions on the index scan and gadolinium-enhancing lesions on index or follow-up scans. Although not considered as a distinct MS phenotype, RIS certainly shares common pathological features with early active and progressive MS. In this review, we specifically focus on biological markers that may help refine the risk stratification of clinical MS and disability for early treatment. Intrathecal B-cell activation with cerebrospinal fluid (CSF) oligoclonal bands, elevated kappa free light chains, and cytokine production is specific to MS, whereas neurofilament light chain (NfL) levels reflect disease activity associated with neuroaxonal injury. Specific microRNA profiles have been identified in RIS converters in both CSF and blood. CSF levels of chitinases and glial acidic fibrillary protein (GFAP) reflecting astrogliosis might help predict the evolution of RIS to progressive MS. Innovative genomic, proteomic, and metabolomic approaches have provided several new candidate biomarkers to be explored in RIS. Leveraging data from randomized controlled trials and large prospective RIS cohorts with extended follow-up to identify, as early as possible, biomarkers for predicting greater disease severity would be invaluable for counseling patients, managing treatment, and monitoring.

Identifiants

pubmed: 35572543
doi: 10.3389/fimmu.2022.866092
pmc: PMC9094445
doi:

Substances chimiques

Biomarkers 0
Immunoglobulin kappa-Chains 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

866092

Informations de copyright

Copyright © 2022 Rival, Galoppin and Thouvenot.

Déclaration de conflit d'intérêts

ET received fees, travelling expenses and research grants from the following pharmaceutical companies: Actelion, Biogen, Genzyme, Merck Serono, Novartis, Roche, Teva pharma. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Manon Rival (M)

Department of Neurology, Nîmes University Hospital Center, Univ. Montpellier, Nîmes, France.
IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.

Manon Galoppin (M)

IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.

Eric Thouvenot (E)

Department of Neurology, Nîmes University Hospital Center, Univ. Montpellier, Nîmes, France.
IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.

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