ArticleMedical science monitor : international medical journal of experimental and clinical research2019
Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Integrating network pharmacology, molecular docking and experimental verification to explore the therapeutic effect of piceatannol on rheumatoid arthritis.Frontiers in immunology · 2026Article
- TPX2 upregulates MMP13 to promote the progression of lipopolysaccharide-induced osteoarthritis.PeerJ · 2024Article
- Comparison of inflammatory molecular mechanisms between osteoarthritis and rheumatoid arthritis via gene microarrays.Molecular biology research communications · 2024Article
- Identification of the potential regulatory interactions in rheumatoid arthritis through a comprehensive analysis of lncRNA-related ceRNA networks.BMC musculoskeletal disorders · 2023Article
- Transcriptomic and Metabolomic Changes Reveal the Immunomodulatory Function of Casein Phosphopeptide-Selenium Chelate in Beagle Dogs.Veterinary sciences · 2023Article
- Comprehensive analysis of transcriptome-wide expression patterns and a circRNA/lncRNA-miRNA-mRNA network in the pathogenesis of cerebral ischemia in Rattus norvegicus.American journal of translational research · 2023Article
- Potential biomarkers that discriminate rheumatoid arthritis and osteoarthritis based on the analysis and validation of datasets.BMC musculoskeletal disorders · 2022Article
- Identification of immune-related diagnostic markers in primary Sjögren's syndrome based on bioinformatics analysis.Annals of translational medicine · 2022Article
- Screening and identification of osteoarthritis related differential genes and construction of a risk prognosis model based on bioinformatics analysis.Annals of translational medicine · 2022Article
- Bioinformatics Analysis Identified the Hub Genes, mRNA-miRNA-lncRNA Axis, and Signaling Pathways Involved in Rheumatoid Arthritis Pathogenesis.International journal of general medicine · 2022Article
- Identification of Diagnostic Biomarkers, Immune Infiltration Characteristics, and Potential Compounds in Rheumatoid Arthritis.BioMed research international · 2022Article
- Epigenetic Regulation of Immune and Inflammatory Responses in Rheumatoid Arthritis.Frontiers in immunology · 2022Article
- The Regulatory Role of Ferroptosis in Bone Homeostasis.Stem cells international · 2022Review
- The Protective Effect of the Soluble Egg Antigen ofFrontiers in immunology · 2022Article
- Interaction between N6-methyladenosine and autophagy in the regulation of bone and tissue degeneration.Frontiers in bioengineering and biotechnology · 2022Review
- Screening of potential hub genes in pulmonary thromboembolism.Experimental and therapeutic medicine · 2022Article
- Identification of hub genes and therapeutic drugs in rheumatoid arthritis patients.Clinical rheumatology · 2021Article
- Identification of hub genes in rheumatoid arthritis through an integrated bioinformatics approach.Journal of orthopaedic surgery and research · 2021Article
- Location, location, location: how the tissue microenvironment affects inflammation in RA.Nature reviews. Rheumatology · 2021Review
- Integrated Bioinformatics-Based Identification of Potential Diagnostic Biomarkers Associated with Diabetic Foot Ulcer Development.Journal of diabetes research · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Rheumatoid arthritis (RA) has a high prevalence in the elderly population. The genes and pathways in the inflamed synovium in patients with RA are poorly understood. This study aimed to identify differentially expressed genes (DEGs) linked to the progression of synovial inflammation in RA using bioinformatics analysis. MATERIAL AND METHODS Gene expression profiles of datasets GSE55235 and GSE55457 were acquired from the Gene Expression Omnibus (GEO) database. DEGs were identified using Morpheus software, and co-expressed DEGs were identified with Venn diagrams. Protein-protein interaction (PPI) networks were assembled with Cytoscape software and separated into subnetworks using the Molecular Complex Detection (MCODE) algorithm. The functions of the top module were assessed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. RESULTS DEGs that were upregulated were significantly enhanced in protein binding, the cell cytosol, organization of the extracellular matrix (ECM), regulation of RNA transcription, and cell adhesion. DEGs that were downregulated were associated with control of the immune response, B-cell and T-cell receptor signaling pathway regulation. KEGG pathway analysis showed that upregulated DEGs enhanced pathways associated with the cell adherens junction, osteoclast differentiation, and hereditary cardiomyopathies. Downregulated DEGs were enriched in primary immunodeficiency, cell adhesion molecules (CAMs), cytokine-cytokine receptor interaction, and hematopoietic cell lineages. CONCLUSIONS The findings from this bioinformatics network analysis study identified molecular mechanisms and the key hub genes that may contribute to synovial inflammation in patients with RA.
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