An appraisal of antigen identification and IgG effector functions driving host immune responses in multiple sclerosis.

Antigen Effector function IgG Multiple sclerosis (MS) Oligoclonal band

Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 31 07 2021
revised: 05 10 2021
accepted: 10 10 2021
pubmed: 20 10 2021
medline: 17 12 2021
entrez: 19 10 2021
Statut: ppublish

Résumé

Increased immunoglobulin G (IgG) antibodies and oligoclonal bands (OCB) are the most characteristic features of multiple sclerosis (MS), a neuroinflammatory demyelinating disease with neurodegeneration at chronic stages. OCB are shown to be associated with disease activity and brain atrophy. Despite intensive research over the last several decades, the antigen specificities of the IgG in MS have remained elusive. We present evidence which supports that intrathecal IgG is not driven by antigen-stimulation, therefore provide reasoning for failed MS antigen identification. Further, the presence of co-deposition of IgG and activated complement products in MS lesions suggest that the IgG effector functions may play a critical role in disease pathogenesis.

Identifiants

pubmed: 34666240
pii: S2211-0348(21)00595-2
doi: 10.1016/j.msard.2021.103328
pii:
doi:

Substances chimiques

Immunoglobulin G 0
Oligoclonal Bands 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103328

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Xiaoli Yu (X)

Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, CO, United States of America. Electronic address: xiaoli.yu@cuanschutz.edu.

Zoe Zizzo (Z)

Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, CO, United States of America.

Peter Ge Kennedy (PG)

Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom.

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Classifications MeSH