ArticleClinical rheumatology2023
Bioinformatic identification and validation of autophagy-related genes in rheumatoid arthritis.
Article in Clinical rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Mitophagy and Immune Infiltration in Primary Sjögren's Disease: Insights from Bioinformatics Analysis.International journal of molecular sciences · 2026Article
- Autophagy in Rheumatoid Arthritis: Molecular Mechanisms, Diagnostic Biomarkers, and Emerging Therapeutic Strategies.Inflammation · 2026Review
- Rheumatoid Arthritis Management: Emerging Drug Therapies and Innovations.Current drug targets · 2026Review
- Article
- Core autophagy genes and immune infiltration characteristics in rheumatoid arthritis: A bioinformatics study.PloS one · 2025Article
- ASIC1a Induces Excessive Mitophagy and PANoptosis of Chondrocyte by the Inhibition of SIRT3 Mitochondrial Translocation.Theranostics · 2025Article
- MYC: there is more to it than cancer.Frontiers in cell and developmental biology · 2024Review
- Machine learning and weighted gene co-expression network analysis identify a three-gene signature to diagnose rheumatoid arthritis.Frontiers in immunology · 2024Article
- Therapeutic potential of Coptis chinensis for arthritis with underlying mechanisms.Frontiers in pharmacology · 2023Review
- Diagnostic and prognostic value of autophagy-related key genes in sepsis and potential correlation with immune cell signatures.Frontiers in cell and developmental biology · 2023Article
- Machine learning and bioinformatics analysis to identify autophagy-related biomarkers in peripheral blood for rheumatoid arthritis.Frontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesRheumatoid arthritis (RA) is a chronic systemic autoimmune disorder characterized by progressive synovial inflammation and joint destruction, with a largely unknown etiology. Studies have suggested that autophagy and its expression may be involved in the pathogenesis of RA; however, autophagy-related genes in RA are still largely unidentified. Therefore, in this study, we aimed to identify and validate autophagy-related genes in RA.
methodsWe identified differentially expressed autophagy-related genes between patients with RA and healthy individuals using gene expression profiles in the GSE55235 dataset and R software. Subsequently, correlation analysis, protein-protein interaction, gene ontology enrichment, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were carried out using these differentially expressed autophagy-related genes. Finally, our results were validated by examining the expression of differentially expressed autophagy-related hub genes in clinical samples using qRT-PCR.
resultsWe identified 52 potential autophagy-related genes in RA based on bioinformatic analyses. Ten hub genes, CASP8, CTSB, TNFSF10, FADD, BAX, MYC, FOS, CDKN1A, GABARAPL1, and BNIP3, were validated to be differentially expressed and may serve as valuable prognostic markers and new potential therapeutic targets for RA via the regulation of autophagy.
conclusionsOur results may help improve the understanding of RA pathogenesis. Autophagy-related genes in RA could be valuable biomarkers for diagnosis and prognosis and they might be exploited clinically as therapeutic targets in the future.
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