Bioinformatics-based study on the regulatory network of lipid metabolism-related genes and mechanisms in coronary heart disease.

ABSTRACT: Coronary heart disease (CHD), is a complex cardiovascular disease driven by atherosclerosis, resulting from a dynamic interplay between dysregulated lipid metabolism and chronic inflammation. This study integrates bioinformatics analysis of GEO datasets with experimental validation to dissect molecular mechanisms underlying CHD pathogenesis. A total of 487 differentially expressed genes (DEGs) were identified (including 295 upregulated and 192 downregulated), with hub genes such as CD36, ALDH2, TNF-α, and IL1B highlighted in lipid handling, oxidative stress, and pro-inflammatory cascades. Weighted gene co-expression network analysis (WGCNA) revealed aberrant activation of lipid metabolism-related modules in CHD patients. KEGG enrichment highlighted their involvement in fatty acid transport

SUBMITTER: Xiao Z 

PROVIDER: S-EPMC12642059 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature