ArticleJournal of translational medicine2024
Similarities and differences between osteoarthritis and rheumatoid arthritis: insights from Mendelian randomization and transcriptome analysis.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Patient-Derived Transcriptomics Reveals Distinct IFNγ-Associated Myeloid States and Mitochondrial Complex I Programs in Rheumatoid Arthritis and Osteoarthritis.Biomedicines · 2026Article
- Multivariate genetic analysis reveals three distinct pathological dimensions in musculoskeletal disorders.Nature communications · 2026Article
- Fibroblast-like Synoviocytes as Key Regulators of Homeostasis and Inflammation in the Joint Microenvironment of Inflammatory Arthritis.Biomedicines · 2026Article
- Exploration of acetylation-related biomarkers in osteoarthritis through bioinformatics analysis.PloS one · 2026Article
- Synovial fluid-derived extracellular vesicles modulate joint cell function in osteoarthritis.Frontiers in aging · 2026Article
- Rheumatoid Arthritis Therapy Based on B Cells.Drug design, development and therapy · 2025Review
- miR-548aj-3p and miR-3127-3p suppress RANKL-facilitated inflammatory cytokines and catabolic factor in osteoarthritis and rheumatoid arthritis.International journal of medical sciences · 2025Article
- Association between neutrophil percentage-to-albumin ratio (NPAR) and sarcopenia in individuals with arthritis: a cross-sectional study.Frontiers in medicine · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
backgroundOsteoarthritis (OA) and rheumatoid arthritis (RA) are often difficult to distinguish in the early stage of the disease. The purpose of this study was to explore the similarities and differences between the two diseases through Mendelian randomization (MR) and transcriptome analysis.
methodsWe first performed a correlation analysis of phenotypic data from genome-wide association studies (GWAS) of OA and RA. Then, we performed functional and pathway enrichment of differentially expressed genes in OA, RA, and normal patients. The infiltration of immune cells in arthritis was analyzed according to gene expression. Finally, MR analysis was performed with inflammatory cytokines and immune cells as exposures and arthritis as the outcome. The same and different key cytokines and immune cells were obtained by the two analysis methods.
resultsGWAS indicated that there was a genetic correlation between OA and RA. The common function of OA and RA is enriched in their response to cytokines, while the difference is enriched in lymphocyte activation. T cells are the main immune cells that differentiate between OA and RA. MR analysis further revealed that OA is associated with more protective cytokines, and most of the cytokines in RA are pathogenic. In addition, CCR7 on naive CD4 + T cell was positively correlated with OA. SSC-A on CD4 + T cell was negatively correlated with RA, while HLA DR on CD33- HLA DR + was positively correlated with RA.
conclusionOur study demonstrated the similarities and differences of immune inflammation between OA and RA, allowing us to better understand these two diseases.
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