Background: Atherosclerosis (AS) is a common atherosclerotic vascular disease, and is one of the important factors leading to cardiovascular and cerebrovascular diseases.So far, the specific etiology and pathogenesis of AS have not been clarified, and further research is needed.
Methods: Bioinformatics methods were used to analyze the data set of GSE57691 and GSE137578 in normal and atherosclerotic arterial endothelial cells from Gene Expression Omnibus (GEO).
Results: There are a total of 300 differentially expressed genes (DEGs) in the GSE57691 and GSE137578 datasets, which are mainly enriched in the focal adhesion signaling pathway (adj P<0.05).We identified 10 hub genes (ACTG2, CAV1, CALD1, CDC42, CCT2, CCT3, VCL, PPARG, POLR2F and TPM3) in the protein-protein interaction (PPI) network, of which 3 (CAV1, CDC42 and VCL) Significantly enriched in the adhesion signaling pathway.In addition, a search in the BIOGPS database found that CAV1 and VCL are highly expressed in coronary arteries.
Conclusions: In conclusion, bioinformatics technology has proved to be useful for screening and identifying novel biomarkers of diseases.300 DEGs and 10 hub genes were significantly enriched in atherosclerotic aortic endothelial cells, especially CAV1 and VCL genes.