ArticleBioMed research international2020
Comprehensive Bioinformatics Analysis Reveals Hub Genes and Inflammation State of Rheumatoid Arthritis.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 41 citations in OpenAlex.
- NR1D1-Mediated Suppression of JAK1/STAT3 Signaling Contributes to the Therapeutic Effects of Triptolide in Rheumatoid Arthritis.Mediators of inflammation · 2026Article
- Advancing Drug Repurposing for Rheumatoid Arthritis: Integrating Protein-Protein Interaction, Molecular Docking, and Dynamics Simulations for Targeted Therapeutic Approaches.Current issues in molecular biology · 2025Article
- Xiahuo Pingwei San attenuated intestinal inflammation in dextran sulfate sodium-induced ulcerative colitis mice through inhibiting the receptor for advanced glycation end-products signaling pathway.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Establishment of a Lactylation-Related Gene Signature for Hepatocellular Carcinoma Applying Bulk and Single-Cell RNA Sequencing Analysis.International journal of genomics · 2025Article
- Exploration and validation of the influence of angiogenesis-related factors in aortic valve calcification.Frontiers in cardiovascular medicine · 2023Article
- Identification and validation of immune-related hub genes based on machine learning in prostate cancer and AOX1 is an oxidative stress-related biomarker.Frontiers in oncology · 2023Article
- Bioinformatics Analysis of Next Generation Sequencing Data Identifies Molecular Biomarkers Associated With Type 2 Diabetes Mellitus.Clinical medicine insights. Endocrinology and diabetes · 2023Article
- Screening and identification of osteoarthritis related differential genes and construction of a risk prognosis model based on bioinformatics analysis.Annals of translational medicine · 2022Article
- Identification of immune-related diagnostic markers in primary Sjögren's syndrome based on bioinformatics analysis.Annals of translational medicine · 2022Article
- Machine learning to identify immune-related biomarkers of rheumatoid arthritis based on WGCNA network.Clinical rheumatology · 2022Article
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- Identification of key genes in late-onset major depressive disorder through a co-expression network module.Frontiers in genetics · 2022Article
- Identification of Hub Genes and Biological Pathways in Inclusion Body Myositis Using Bioinformatics Analysis.International journal of general medicine · 2022Article
- Identification of Diagnostic Biomarkers, Immune Infiltration Characteristics, and Potential Compounds in Rheumatoid Arthritis.BioMed research international · 2022Article
- RNA-seq and Network Analysis Reveal Unique Chemokine Activity Signatures in the Synovial Tissue of Patients With Rheumatoid Arthritis.Frontiers in medicine · 2022Article
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- Identification ofOxidative medicine and cellular longevity · 2022Article
- Dermatomyositis: immunological landscape, biomarkers, and potential candidate drugs.Clinical rheumatology · 2021Article
- Research Advances in Pharmacology, Safety, and Clinical Applications of Yunnan Baiyao, a Traditional Chinese Medicine Formula.Frontiers in pharmacology · 2021Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease characterized by erosive arthritis, which has not been thoroughly cured yet, and standardized treatment is helpful for alleviating clinical symptoms. Here, various bioinformatics analysis tools were comprehensively utilized, aiming to identify critical biomarkers and possible pathogenesis of RA. Three gene expression datasets profiled by microarray were obtained from GEO database. Dataset GSE55235 and GSE55457 were merged for subsequent analyses. We identified differentially expressed genes (DEGs) in RStudio with limma package, performing functional enrichment analysis based on GSEA software and clusterProfiler package. Next, protein-protein interaction (PPI) network was set up through STRING database and Cytoscape. Moreover, CIBERSORT website was used to assess the inflammatory state of RA. Finally, we validated the candidate hub genes with dataset GSE77298. As a result, we identified 106 DEGs (72 upregulated and 34 downregulated genes). Through GO, KEGG, and GSEA analysis, we found that DEGs were mainly involved in immune response and inflammatory signaling pathway. With the help of Cytoscape software and MCODE plug-in, the most prominent subnetwork was screened out, containing 14 genes and 45 edges. For ROC curve analysis, eight genes with AUC >0.80 were considered as hub genes of RA. In conclusion, compared with healthy controls, the DEGs and their closely related biological functions were analyzed, and we held that chemokines and immune cells infiltration promote the progression of rheumatoid arthritis. Targeting the eight biomarkers we identified may be useful for the diagnosis and treatment of rheumatoid arthritis.
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