Exploration of the shared diagnostic genes and molecular mechanism between obesity and atherosclerosis via bioinformatic analysis.

ABSTRACT: Obesity (OB) and atherosclerosis (AS) represent two highly prevalent and detrimental chronic diseases that are intricately linked. However, the shared genetic signatures and molecular pathways underlying these two conditions remain elusive. This study aimed to identify the shared diagnostic genes and the associated molecular mechanism between OB and AS. The microarray datasets of OB and AS were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) analysis and the weighted gene co-expression network analysis (WGCNA) were conducted to identify the shared genes. Then least absolute shrinkage selection (LASSO) algorithm was used for diagnostic genes discovery. The diagnostic genes were validated using expression analysis and receiver operating charact

SUBMITTER: An W 

PROVIDER: S-EPMC11742665 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature