Purpose: This study seeks to identify potential clinical biomarkers for osteoarthritis (OA) using bioinformatics and investigate OA mechanisms through cellular assays.
Methods: Differentially Expressed Genes (DEGs) from GSE52042 (four OA samples, four control samples) were screened and analyzed with protein-protein interaction (PPI) analysis. Overlapping genes in GSE52042 and GSE206848 (seven OA samples, and seven control samples) were identified and evaluated using Gene Set Enrichment Analysis (GSEA) and clinical diagnostic value analysis to determine the hub gene.
Biochem Biophys Res Commun
August 2020
Postmenopausal osteoporosis (PMOP) is a frequent bone disorder responsible for an increased risk of disability to millions of individuals in the world. For identifying novel and effective targets to treat this disease, it is essential to explore the underlying molecular mechanisms. MicroRNAs (miRNAs) have been widely investigated due to their involvement in the pathophysiology of bone loss.
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