ArticleBiochemistry and biophysics reports2025
Molecular profiling of rheumatoid Arthritis: Expression dynamics of hsa_circ_0092125 and
Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Rewiring immunity in rheumatoid arthritis: metabolic and epigenetic therapeutic strategies.Frontiers in pharmacology · 2026Review
- The research progress on the role of glucose-6-phosphate dehydrogenase in immune regulation.PeerJ · 2026Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Rheumatoid arthritis (RA) is a systemic autoimmune disorder marked by chronic synovial inflammation and progressive joint damage. Increasing evidence points to non-coding RNAs, particularly circular RNAs (circRNAs), as crucial regulators of immune and inflammatory responses in RA. However, their functional roles and clinical relevance remain incompletely understood. Methods: We conducted an integrative analysis combining bioinformatics and experimental validation to investigate the expression profiles of circRNAs and their host genes in RA. Transcriptomic datasets (GSE124373, GSE169082, GSE189338) were analyzed to identify differentially expressed mRNAs, circRNAs, and miRNAs in PBMCs of RA patients. Functional enrichment, protein-protein interaction (PPI) network construction, and competing endogenous RNA (ceRNA) regulatory analyses were performed. Subsequently, qPCR validation was carried out in clinical samples from 25 RA patients and 25 healthy controls. Results: Analysis revealed 1366 differentially expressed mRNAs, 47 circRNAs, and 223 miRNAs. Notably, Conclusion: Our integrative bioinformatics and experimental approach identify
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