ArticleArthritis research & therapy2008
Identification of intra-group, inter-individual, and gene-specific variances in mRNA expression profiles in the rheumatoid arthritis synovial membrane.
Article in Arthritis research & therapy, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
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Who cites it
73 citing papers in PubMed, 107 citations in OpenAlex.
- Identification of ferroptosis hub gene cDKN1A relating to immune microenvironment in rheumatoid arthritis via bioinformatic analysis and experimental verification.Clinical rheumatology · 2026Article
- Metabolic reprogramming in polyol pathway contributes to anti-inflammatory effect of glucosamine salts on synovial fibroblasts.npj metabolic health and disease · 2026Article
- Targeting Osteoporosis-Osteoarthritis Comorbidity: Multi-Omics Identification of SON and Exploration of Therapeutic Agents.International journal of molecular sciences · 2026Article
- Integrative analysis of single-cell and bulk RNA sequencing data using machine learning identifies PTGDS as a key subsynovial fibroblast gene in osteoarthritis.Journal of molecular histology · 2026Article
- Cross-platform transcriptomic data integration identifies an overactive neuro-immune signature in human osteoarthritis synovium.Osteoarthritis and cartilage · 2026Article
- Identification and Immune Landscape Analysis of Fatty Acid Metabolism-related Genes Associated with Rheumatoid Arthritis.International journal of medical sciences · 2026Article
- Identification and Experimental Validation of Key Biomarkers for Rheumatoid Arthritis Based on Bioinformatics Analysis and Machine Learning.Journal of inflammation research · 2026Article
- Gender inequality in osteoarthritis: a bioinformatics perspective.Clinical rheumatology · 2026Article
- Integrating multi-omics, machine learning, and molecular dynamics simulations to identify glutamate metabolism-related biomarkers and drug candidates in rheumatoid arthritis.Frontiers in molecular biosciences · 2026Article
- Article
- Identification of potential pathogenic genes associated with the comorbidity of rheumatoid arthritis and renal fibrosis using bioinformatics and machine learning.Scientific reports · 2025Article
- Dusp1 in osteolytic diseases-mechanisms and therapeutic potential.Scientific reports · 2025Article
- Exploring heat shock protein-related biomarkers and subgroups in osteoarthritis using Gene Expression Omnibus data sets.BMC musculoskeletal disorders · 2025Article
- Identify the potential target of efferocytosis in knee osteoarthritis synovial tissue: a bioinformatics and machine learning-based study.Frontiers in immunology · 2025Article
- Exploration of differential expression and biological significance of amino acid metabolism genes in osteoarthritis.Frontiers in immunology · 2025Article
- Kaempferol alleviates rheumatoid arthritis through pyroptosis based on bioinformatics analysis and experimental validation.Scientific reports · 2024Article
- Article
- Exploring the molecular mechanisms and shared potential drugs between rheumatoid arthritis and arthrofibrosis based on large language model and synovial microenvironment analysis.Scientific reports · 2024Article
- Mitochondria-Related Gene MAOB is a Key Biomarker of Osteoarthritis and Inhibition of Its Expression Reduces LPS-induced Chondrocyte Damage.Biochemical genetics · 2024Article
- Identification and validation of immune-related genes in osteoarthritic synovial fibroblasts.Heliyon · 2024Article
13 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRheumatoid arthritis (RA) is a chronic inflammatory and destructive joint disease characterized by overexpression of pro-inflammatory/pro-destructive genes and other activating genes (for example, proto-oncogenes) in the synovial membrane (SM). The gene expression in disease is often characterized by significant inter-individual variances via specific synchronization/desynchronization of gene expression. To elucidate the contribution of the variance to the pathogenesis of disease, expression variances were tested in SM samples of RA patients, osteoarthritis (OA) patients, and normal controls (NCs).
methodAnalysis of gene expression in RA, OA, and NC samples was carried out using Affymetrix U133A/B oligonucleotide arrays, and the results were validated by real-time reverse transcription-polymerase chain reaction. For the comparison between RA and NC, 568 genes with significantly different variances in the two groups (P <or= 0.05; Bonferroni/Holm corrected Brown-Forsythe version of the Levene test) were selected. For the comparison between RA and OA, 333 genes were selected. By means of the Kyoto Encyclopedia of Genes and Genomes, the pathways/complexes significantly affected by higher gene expression variances were identified in each group.
resultsTen pathways/complexes significantly affected by higher gene expression variances were identified in RA compared with NC, including cytokine-cytokine receptor interactions, the transforming growth factor-beta pathway, and anti-apoptosis. Compared with OA, three pathways with significantly higher variances were identified in RA (for example, B-cell receptor signaling and vascular endothelial growth factor signaling). Functionally, the majority of the identified pathways are involved in the regulation of inflammation, proliferation, cell survival, and angiogenesis.
conclusionIn RA, a number of disease-relevant or even disease-specific pathways/complexes are characterized by broad intra-group inter-individual expression variances. Thus, RA pathogenesis in different individuals may depend to a lesser extent on common alterations of the expression of specific key genes, and rather on individual-specific alterations of different genes resulting in common disturbances of key pathways.
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