Observational studyMedicine2018
Identification of key genes in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis.
Observational study in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identification of EGFR as a Novel Key Gene in Clear Cell Renal Cell Carcinoma (ccRCC) through Bioinformatics Analysis and Meta-Analysis.BioMed research international · 2019Pooled it
- Integrative analysis of bulk and single-cell RNA sequencing data reveals increased arachidonic acid metabolism in osteoarthritic chondrocytes.Frontiers in medicine · 2025Article
- Identification of key genes and long non‑coding RNA expression profiles in osteoporosis with rheumatoid arthritis based on bioinformatics analysis.BMC musculoskeletal disorders · 2024Article
- Role of theHeliyon · 2024Article
- Identification of the candidate genes of diagnosing rheumatoid arthritis using the single-cell sequencing technology and T cell subclusters analysis of patients with rheumatoid arthritis.Archives of rheumatology · 2023Article
- Anti-inflammatory effect of green photobiomodulation in human adipose-derived mesenchymal stem cells.Lasers in medical science · 2022Article
- Identification of immune-related diagnostic markers in primary Sjögren's syndrome 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 SLAMF1 as an immune-related key gene associated with rheumatoid arthritis and verified in mice collagen-induced arthritis model.Frontiers in immunology · 2022Article
- Identifying hub genes and immune infiltration of osteoarthritis using comprehensive bioinformatics analysis.Journal of orthopaedic surgery and research · 2021Article
- Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus.Bioscience reports · 2021Article
- Biomarkers of Joint Damage in Osteoarthritis: Current Status and Future Directions.Mediators of inflammation · 2021Review
- Article
- Identification of novel biomarkers and candidate small molecule drugs in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis of high-throughput data.Bioscience reports · 2020Article
- Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs.Scientific reports · 2020Article
- Genetic Polymorphisms Associated with Rheumatoid Arthritis Development and Antirheumatic Therapy Response.International journal of molecular sciences · 2020Review
- Sex Differences in Osteoarthritis Pathogenesis: A Comprehensive Study Based on Bioinformatics.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Identification of key gene modules and transcription factors for human osteoarthritis by weighted gene co-expression network analysis.Experimental and therapeutic medicine · 2019Article
- Network Pharmacology Identifies the Mechanisms of Action of Shaoyao Gancao Decoction in the Treatment of Osteoarthritis.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Enhanced migration and adhesion of peripheral blood neutrophils from SAPHO patients revealed by RNA-Seq.Orphanet journal of rare diseases · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rheumatoid arthritis (RA) and osteoarthritis (OA) comprise the most common forms of arthritis. The aim of this study was to identify differentially expressed genes (DEGs) and associated biological processes between RA and OA using a bioinformatics approach to elucidate their potential pathogenesis.The gene expression profiles of the GSE55457 datasets, originally produced through use of the high-throughput Affymetrix Human Genome U133A Array, were downloaded from the Gene Expression Omnibus (GEO) database. The GSE55457 dataset contains information from 33 samples, including 10 normal control (NC) samples, 13 RA samples, and 10 OA samples. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed to identify functional categories and associated molecular and biochemical pathways, respectively, for the identified DEGs, and a protein-protein interaction (PPI) network of the DEGs was constructed using Cytoscape software.GO and KEGG results suggested that several biological pathways (ie, "immune response," "inflammation," and "osteoclast differentiation") are commonly involved in the development of both RA and OA, whereas several other pathways (eg, "MAPK signaling pathway," and "ECM-receptor interaction") presented significant differences between these disorders.This study provides further insights into the underlying pathogenesis of RA and OA, which may facilitate the diagnosis and treatment of these diseases.
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