Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis.
Details
Serval ID
serval:BIB_316C569DA5A7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis.
Journal
The Journal of clinical investigation
Working group(s)
Accelerating Medicines Partnership RA/SLE Network
ISSN
1558-8238 (Electronic)
ISSN-L
0021-9738
Publication state
Published
Issued date
17/03/2025
Peer-reviewed
Oui
Volume
135
Number
6
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Abstract
Rheumatoid arthritis (RA) is a systemic autoimmune disease currently with no universally highly effective prevention strategies. Identifying pathogenic immune phenotypes in at-risk populations prior to clinical onset is crucial to establishing effective prevention strategies. Here, we applied multimodal single-cell technologies (mass cytometry and CITE-Seq) to characterize the immunophenotypes in blood from at-risk individuals (ARIs) identified through the presence of serum antibodies against citrullinated protein antigens (ACPAs) and/or first-degree relative (FDR) status, as compared with patients with established RA and people in a healthy control group. We identified significant cell expansions in ARIs compared with controls, including CCR2+CD4+ T cells, T peripheral helper (Tph) cells, type 1 T helper cells, and CXCR5+CD8+ T cells. We also found that CD15+ classical monocytes were specifically expanded in ACPA-negative FDRs, and an activated PAX5lo naive B cell population was expanded in ACPA-positive FDRs. Further, we uncovered the molecular phenotype of the CCR2+CD4+ T cells, expressing high levels of Th17- and Th22-related signature transcripts including CCR6, IL23R, KLRB1, CD96, and IL22. Our integrated study provides a promising approach to identify targets to improve prevention strategy development for RA.
Keywords
Humans, Arthritis, Rheumatoid/immunology, Arthritis, Rheumatoid/genetics, Male, Female, Middle Aged, Immunophenotyping, Adult, Single-Cell Analysis, Lymphocyte Activation, Aged, Risk Factors, Arthritis, Autoimmunity, Bioinformatics, Immunology, Rheumatology
Pubmed
Open Access
Yes
Create date
21/03/2025 12:44
Last modification date
22/03/2025 8:06