Identification of key genes and pathways in atherosclerosis using integrated bioinformatics analysis.

ABSTRACT:

Background

Atherosclerosis (AS) is a chronic inflammatory disease that might induce severe cardiovascular events, such as myocardial infarction and cerebral infarction. These risk factors in the pathogenesis of AS remain uncertain and further research is needed. This study aims to explore the potential molecular mechanisms of AS by bioinformatics analyses.

Methods

GSE100927 gene expression profiles, including 69 AS samples and 35 healthy controls, were downloaded from Gene Expression Omnibus database and indenfied for key genes and pathways in AS.

Results

A total of 443 differentially expressed genes (DEGs) between control and AS were identified, including 323 down-regulated genes and 120 up-regulated genes. The Gene ontology terms enriched by the up-regulated DEGs we

SUBMITTER: Li S 

PROVIDER: S-EPMC10183119 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature