Identification of biomarkers and potential drug targets in osteoarthritis based on bioinformatics analysis and mendelian randomization.

ABSTRACT:

Background

Osteoarthritis (OA) can lead to chronic joint pain, and currently there are no methods available for complete cure. Utilizing the Gene Expression Omnibus (GEO) database for bioinformatics analysis combined with Mendelian randomization (MR) has been widely employed for drug repurposing and discovery of novel therapeutic targets. Therefore, our research focus is to identify new diagnostic markers and improved drug target sites.

Methods

Gene expression data from different tissues of synovial membrane, cartilage and subchondral bone were collected through GEO data to screen out differential genes. Two-sample MR Analysis was used to estimate the causal effect of expression quantitative trait loci (eQTL) on OA. Through the intersection of the two, core genes were obtain

SUBMITTER: Cheng F 

PROVIDER: S-EPMC11390638 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature