Integration of transcriptome and immunophenotyping data highlights differences in the pathogenetic kinetics of B cells across immune-mediated disease
Authors' conclusion
Immunophenotyping-based clusters and transcriptome-based states revealed quantitative and qualitative differences in B cells.
Study context
- Population
- Patients with six immune-mediated diseases (IMDs); 23 immune cell subsets
- Participants
- 235 patients6 IMDs
- Comparison
- Immunophenotype-based cluster 1 vs cluster 2
- Outcome
- Immunophenotype-based stratification of IMD patients
Methodological detailsflow cytometric and transcriptomic analyses, ImmuNexUT database, immunophenotype-based clustering
- Flow cytometric and transcriptomic analyses
- ImmuNexUT database
- Immunophenotype-based clustering
Main finding
As reported in the abstract
- Patients stratified into two clusters based on immunophenotypes
- Cluster 1: higher RA disease activity and decreased respiratory functions in SSc
- Cluster 2: higher SLE disease activity
- Numerous differentially expressed genes detected in USM B
- Cluster 1: glycosylation processes in USM B and elevated B cell-activating factor signalling from myeloid cells in B cells
- Cluster 2: higher B-cell receptor signalling in USM B
- Cluster 2, with elevated age-associated B-cell signature, had more frequent flares
Original publication
Integration of transcriptome and immunophenotyping data highlights differences in the pathogenetic kinetics of B cells across immune-mediated disease. RMD Open. Published 9 April 2025. doi:10.
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