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An autoantibody signature predictive for multiple sclerosis.

Authors :
Zamecnik CR
Sowa GM
Abdelhak A
Dandekar R
Bair RD
Wade KJ
Bartley CM
Kizer K
Augusto DG
Tubati A
Gomez R
Fouassier C
Gerungan C
Caspar CM
Alexander J
Wapniarski AE
Loudermilk RP
Eggers EL
Zorn KC
Ananth K
Jabassini N
Mann SA
Ragan NR
Santaniello A
Henry RG
Baranzini SE
Zamvil SS
Sabatino JJ Jr
Bove RM
Guo CY
Gelfand JM
Cuneo R
von Büdingen HC
Oksenberg JR
Cree BAC
Hollenbach JA
Green AJ
Hauser SL
Wallin MT
DeRisi JL
Wilson MR
Source :
Nature medicine [Nat Med] 2024 May; Vol. 30 (5), pp. 1300-1308. Date of Electronic Publication: 2024 Apr 19.
Publication Year :
2024

Abstract

Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. In this study, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster in approximately 10% of PwMS who share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active preclinical period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically or radiologically isolated neuroinflammatory syndromes.<br /> (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Details

Language :
English
ISSN :
1546-170X
Volume :
30
Issue :
5
Database :
MEDLINE
Journal :
Nature medicine
Publication Type :
Academic Journal
Accession number :
38641750
Full Text :
https://doi.org/10.1038/s41591-024-02938-3