ArticleIn vivo (Athens, Greece)
Gene Profiling Analyses of Synovium Tissues in Korean Osteoarthritis Patients.
Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
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7 authors.
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Abstract
BACKGROUND/
aimWorldwide, 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
methodsTranscriptome 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.
resultsAfter performing GO analysis on the top 50 DEGs, 11 candidate genes were selected based on adjusted
conclusionWe 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.
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