Gene Profiling Analyses of Synovium Tissues in Korean Osteoarthritis Patients
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND/AIM: Worldwide, osteoarthritis causes pain in many patients, reducing their quality of life. Unfortunately, there are limited ways to alleviate the pain of osteoarthritis patients. Today, advances in genetic analysis have made it possible to analyze various causes of disease, including osteoarthritis. However, genetic analysis of osteoarthritis patients in the Korean population has rarely been performed. This study aims to find specific gene expression patterns in synovium tissues of Korean osteoarthritis patients through transcriptome analysis. MATERIALS AND METHODS: Transcriptome analysis was performed on eight tissue samples obtained from osteoarthritis patients and seven tissue samples obtained from normal individuals. To functionally analyze the differentially expressed genes (DEGs) identified from the transcriptome analysis, Gene Ontology (GO) term enrichment analysis, network analysis, and Gene Set Enrichment Analysis (GSEA) analysis were conducted. RESULTS: fold change (FC)| ≥2. Gene network analysis of the 11 DEGs confirmed their association with immune responses. Furthermore, GSEA analysis of the 11 DEGs revealed that all of them showed positive correlations with the corresponding GO terms. CONCLUSION: We identified 11 candidate genes associated with immune responses that are abnormally overexpressed in the synovium tissues of Korean osteoarthritis patients. Establishment of the strategies for targeting these genes may help alleviate pain in Korean osteoarthritis patients.
Source: In Vivo
Authors: JUNGWOOK ROH, JAEWAN JEON, SUNMI JO, GEUMJU PARK, JIHOON KANG, SANG WON MOON, WANYEON KIM
Language: English
Subfield: Rheumatology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4415691527