Bioinformatics analysis of the genes related to lipid metabolism in atherosclerosis
To explore the genes related to lipid metabolism in atherosclerosis,the dataset was downloaded from the gene expression omnibus(GEO)database,and weighted correlation network analysis(WGCNA),differential analysis and Venn diagram were used to screen the key genes,and then the disease correlation analysis was carried out.The results showed that,the ten key genes of HMGCR,HMGCS1,LDLR,DHCR24,DHCR7,SQLE,IDI1,INSIG1,FDFT1,MSMO1 were positively correlated with low density lipoprotein receptor(LDLR);and HMGCR,DHCR7 and INSIGI were positively correlated with interleukin-10(IL10);and except DHCR7,the other nine genes were negatively correlated with ATP-binding cassette transporter A1(ABCA1);and DHCR24,SQLE,IDI1,INSIG1 and FDFT1 were negatively correlated with peroxisome proliferator activated receptor gamma(PPARG),the difference was statistically significant(P<0.05).GO and KEGG enrichment analysis showed that,the key module genes were mainly enriched in steroid,cholesterol and sterol biosynthesis and metabolism processes.The screening of key genes can provide reference for the screening and development of effective therapeutic targets for atherosclerosis.