ArticleArthritis research & therapy2015
CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case-control study.
Article in Arthritis research & therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 57 citations in OpenAlex.
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- Exploration of potential novel drug targets for rheumatoid arthritis by plasma proteome screening.PLoS computational biology · 2025Article
- UPLC-Q-TOF/MS, network pharmacology, molecular docking, and experimental validation to explore the mechanisms of toad clothing on rheumatoid arthritis.Scientific reports · 2025Article
- Endogenous antigens shape the transcriptome and TCR repertoire in an autoimmune arthritis model.The Journal of clinical investigation · 2024Article
- Revealing the impact of autophagy-related genes in rheumatoid arthritis: Insights from bioinformatics.Heliyon · 2024Article
- Immunomodulatory Microparticles Epigenetically Modulate T Cells and Systemically Ameliorate Autoimmune Arthritis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- A novel mechanism for macrophage pyroptosis in rheumatoid arthritis induced by Pol β deficiency.Cell death & disease · 2022Article
- A large-scale genetic correlation scan between rheumatoid arthritis and human plasma protein.Bone & joint research · 2022Article
- RNA Editing-Associated Post-Transcriptional Gene Regulation in Rheumatoid Arthritis.Bioinformatics and biology insights · 2022Article
- Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.Biomedicines · 2021Article
- MiR-467a-5p aggravates myocardial infarction by modulating ZEB1 expression in mice.Journal of molecular histology · 2021Article
- Integrative computational approach identifies drug targets in CD4NPJ systems biology and applications · 2021Article
- The Therapeutic Landscape of Rheumatoid Arthritis: Current State and Future Directions.Frontiers in pharmacology · 2021Review
- Developing ZNF Gene Signatures Predicting Radiosensitivity of Patients with Breast Cancer.Journal of oncology · 2021Article
- Lymphocyte-Specific Biomarkers Associated With Preterm Birth and Bronchopulmonary Dysplasia.Frontiers in immunology · 2020Article
- Reporters of TCR signaling identify arthritogenic T cells in murine and human autoimmune arthritis.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Expression of STAT3-regulated genes in circulating CD4+ T cells discriminates rheumatoid arthritis independently of clinical parameters in early arthritis.Rheumatology (Oxford, England) · 2019Article
- MiR-195 restrains lung adenocarcinoma by regulating CD4+ T cell activation via the CCDC88C/Wnt signaling pathway: a study based on the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and bioinformatic analysis.Annals of translational medicine · 2019Article
- Analysis of Polymorphisms in the Mediator Complex Subunit 13-like (Med13L) Gene in the Context of Immune Function and Development of Experimental Arthritis.Archivum immunologiae et therapiae experimentalis · 2018Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRheumatoid arthritis (RA) is a systemic autoimmune disease in which T cells play a pivotal role in the pathogenesis. Knowledge in terms of the CD4 T-cell transcriptome in RA is limited. The aim of this study was to examine the whole-genome transcription profile of CD4 T cells in RA by comparing patients with RA to healthy controls.
methodsPeripheral blood CD4 T cells were isolated from 53 RA patients with active disease and 45 healthy individuals; 13 cases and 10 controls were enrolled in microarray analysis. The remaining 40 cases and 35 controls were recruited as an independent cohort for the validation study. Bioinformatics was performed on Gene Ontology (GO), gene-gene interaction networks, and pathway analysis. The gene modules, by combining the results from GO, gene networks, and pathway analysis, were selected for further validation.
resultsThe CD4 T cells showed 1,496 differentially expressed (DE) genes in RA patients relative to healthy individuals. GO analysis revealed that the DE genes were enriched in immune response, T-cell response, apoptosis process, and Wnt receptor signaling. Pathway analysis also identified that 'Wnt signaling pathway' was differentially regulated between two groups (P=2.78×10(-10)). By gene-gene network analysis, we found that the DE genes were enriched in T-cell receptor (TCR), JAK-STAT signaling, and Wnt signaling pathway. By gene module analysis, we found that a number of DE genes overlapped in the three different analyses. In total, 23 genes were selected for further validation, and nine genes were confirmed. Of these, four genes (SOCS3, CBL, IFNAR1, and PIK3CA) were involved in STAT3 (signal transducer and activator of transcription 3) signaling, and three genes (CBL, KLF9, and CSNK2A1) were involved in the Wnt signaling pathway. Additionally, several zinc finger transcription factors (ZEB1, ZNF292, and ZNF644) were confirmed.
conclusionsWe report here the first case-control study of the CD4 T-cell transcriptome profile in RA. Our data provide evidence that CD4 T cells from patients with RA have abnormal functional networks in STAT3 signaling and Wnt signaling. Our results also suggest that the aberrant expression of several zinc finger transcription factors (ZEB1, ZNF292, and ZNF644) may be potential pathogenic factors for RA.
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