Distinct synovial fluid B-cell differentiation and activation profiles in rheumatoid arthritis
Huang, W.; Ghannoum, S.; Wangriatisak, K.; Hooijsma, A.; Nakazawa, M.; Franzen, L.; Petkov, S.; Chatzidionysiou, K.; Malmström, V.; Grönwall, C.
Show abstract
CD11c+CD21- B cells are overrepresented in rheumatoid arthritis (RA). Here we delineate their functional state at site of inflammation and its molecular basis. Phenotypic profiling of paired blood and synovial fluid from patients with anti-citrullinated protein antibody (ACPA) seropositive RA (N=12), seronegative RA (N=10) and spondyloarthritis (N=8), demonstrated a striking enrichment of CD11c+CD21- B cells in synovial fluid in all three diseases (average of CD19+ cells: 67%, 49% and 51%). In ACPA-positive RA we identified increased proportions of CD11c+IgG+CD27low cells and several stages of pre-plasmablasts. The CD11c+CD21- cells had a phenotype indicating BCR activation, proliferation, and antigen presentation. This B-cell profile was mirrored by a LAG3+CTLA4+TIGIT+ peripheral helper T-cell program in ACPA-positive RA, contrasting a CCR6+ Th17-skewing in seronegative RA. Single-cell spatial proteomics revealed a unique CD11chighCD21 low B-cell surface architecture including a BCR co-receptor-tetraspanin signature with CD72-CD81 co-localization, which was elevated in RA. CD11c+ cells also displayed CD44-CD52/CD59 and MHCII-CD40/CD84 immune-modules absent in other B-cell subsets. In summary, CD11c+CD21- B cells are highly diverse, and while an activated antigen-experienced synovial profile was shared between disease groups, ACPA+ RA showed evidence of increased extrafollicular plasmablast differentiation. Surface receptor organization implicated a favoured BCR responsiveness, complement resistance and antigen presentation.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cross-Tissue Transcriptomic Analysis Leveraging Machine Learning Approaches Identifies New Biomarkers for Rheumatoid Arthritis 94%
- TCRβ Sequencing Reveals Spatial and Temporal Evolution of Clonal CD4 T cell Responses in a Breach of Tolerance Model of Inflammatory Arthritis 94%
- Inflammation-profiling reveals activated pathways and biomarkers with predictive potential in oligoarticular JIA 92%
Similar papers in this journal
- An immunome perturbation is present in juvenile idiopathic arthritis patients who are in remission and will relapse upon anti-TNFα withdrawal 95%
- Distinct immune-effector and metabolic profile of CD8 + T Cells in patients with autoimmune polyarthritis induced by therapy with immune-checkpoint inhibitors 93%
- Shotgun metagenomics reveals an enrichment of potentially cross-reactive bacterial epitopes in ankylosing spondylitis patients, as well as the effects of TNFi therapy and the host’s genotype upon microbiome composition 93%
Similar papers in this journal
- Loss of α2-6 sialylation promotes the transformation of synovial fibroblasts into a pro-inflammatory phenotype in Rheumatoid Arthritis. 95%
- Plasmacytoid dendritic cells are functionally exhausted while non-haematopoietic sources of type I interferon dominate human autoimmunity 94%
- Single cell sequencing reveals expanded cytotoxic CD4+ T cells and two states of peripheral helper T cells in synovial fluid of ACPA+ RA patients 94%
Similar papers in this journal
- Divergent effects of cytomegalovirus and rheumatoid arthritis on senescent CD4+ T cells 93%
- Dysregulated RASGRP1 expression through RUNX1 mediated transcription promotes autoimmunity 91%
- Transcriptome-Proteome analysis of human naive and memory B cell subsets reveal isotype and subclass-specific phenotypes 90%
Similar papers in this journal
- Integrative Analysis Reveals a Molecular Stratification of Systemic Autoimmune Diseases 93%
- Reduction of pro-inflammatory effector functions through remodeling of fatty acid metabolism in CD8 + T-cells from Rheumatoid Arthritis patients 93%
- B cell numbers predict humoral and cellular response upon SARS-CoV-2 vaccination among patients treated with rituximab 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.