ArticleScientific reports2023
Bioinformatics analysis of hub genes as osteoarthritis prognostic biomarkers.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 11 citations in OpenAlex.
- Identification of Autophagy-related Genes of the Osteoarthritis Using Machine Learning Algorithm.Biochemical genetics · 2026Article
- Integrative analysis of single-cell and transcriptomic data with RT-qPCR validation explores TRPM4-associated gene signatures in osteoarthritis synovium.Scientific reports · 2026Article
- Targeting Ferroptosis With Natural Products for the Treatment of Skeletal System Disease: An Updated Review.Journal of cellular and molecular medicine · 2026Review
- Mechanistic insights into triclosan-induced hepatotoxicity: A network toxicology and molecular docking approach.PloS one · 2026Article
- CSF1-R inhibition attenuates posttraumatic osteoarthritis and quadriceps atrophy following ligament injury.The Journal of physiology · 2025Article
- Identification of Genes Linked to Meniscal Degeneration in Osteoarthritis: An In Silico Analysis.International journal of molecular sciences · 2025Article
- Screening core genes for minimal change disease based on bioinformatics and machine learning approaches.International urology and nephrology · 2025Article
- A six-gene expression signature in peripheral blood mononuclear cells effectively diagnoses osteoarthritis.Frontiers in medicine · 2025Article
- DNA methylation of bone morphogenetic protein 7 in leukocytes as a possible biomarker for hand osteoarthritis: A pilot study.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Screening and validation of key genes associated with osteoarthritis.BMC musculoskeletal disorders · 2024Article
- The role of mitochondrial autophagy in osteoarthritis.iScience · 2024Article
- Causal relationship, shared genes between rheumatoid arthritis and pulp and periapical disease: evidence from GWAS and transcriptome data.Frontiers in immunology · 2024Article
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteoarthritis (OA) is a progressive cartilage degradation disease, concomitant with synovitis, osteophyte formation, and subchondral bone sclerosis. Over 37% of the elderly population is affected by OA, and the number of cases is increasing as the global population ages. Therefore, the objective of this study was to identify and analyze the hub genes of OA combining with comprehensive bioinformatics analysis tools to provide theoretical basis in further OA effective therapies. Two sample sets of GSE46750 contained 12 pairs OA synovial membrane and normal samples harvested from patients as well as GSE98918 including 12 OA and non-OA patients were downloaded from the Gene Expression Omnibus database (GEO) database. Differentially expressed genes (DEGs) were identified using Gene Expression Omnibus 2R (GEO2R), followed by functional enrichment analysis, protein-protein interaction networks construction. The hub genes were identified and evaluated. An OA rat model was constructed, hematoxylin and eosin staining, safranin O/fast green staining, cytokines concentrations of serum were used to verify the model. The hub genes expression level in the knee OA samples were verified using RT-qPCR. The top 20 significantly up-regulated and down-regulated DEGs were screened out from the two datasets, respectively. The top 18 GO terms and 10 KEGG pathways were enriched. Eight hub genes were identified, namely MS4A6A, C1QB, C1QC, CD74, CSF1R, HLA-DPA1, HLA-DRA and ITGB2. Among them, the hub genes were all up-regulated in in vivo OA rat model, compared with healthy controls. The eight hub genes identified (MS4A6A, C1QB, C1QC, CD74, CSF1R, HLA-DPA1, HLA-DRA and ITGB2) were shown to be associated with OA. These genes can serve as disease markers to discriminate OA patients from healthy controls.
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