Bioinformatics Analysis of Core Genes Related to Sarcopenia

Objective: To analyze the genes related to the pathogenesis of sarcopenia (SA) and find the potential therapeutic targets. Methods: GSE1428 data set downloaded from GEO gene expression omnibus, GEO) was taken as the analysis object. The data were standardized by R software, and the differential genes were screened. The GO and KEGG function enrichment analysis of the differential genes was carried out by Metascape, and the PPI analysis was carried out by String. The results were imported into Cytoscape software to screen out the core genes, which were imported into BioGPS database for tissue localization. Results: 117 differential genes were obtained, including 54 down-regulated genes and 63 up-regulated genes. GO and KEGG analysis showed that GO was mainly enriched in ethanol reaction, carboxylic acid transport, cell secretion regulation, vitamin metabolism, leukocyte chemotaxis regulation and bone marrow cell differentiation regulation, while KEGG was mainly enriched in viral carcinogenesis pathway. There are 108 nodes and 44 connections in the PPI network. According to the PPI results, Cytoscape screened out core genes such as RPE65, TOPORS, IMPG2 and IMPDH1, among which RPE65, TOPORS and IMPDH1 were down-regulated and IMPG2 was up-regulated. The localization of gene tissue suggested that RPE65 was located in retina. Conclusion: Screening the core genes and related signal pathways is helpful to understand the pathogenesis of SA and provide new ideas for drug therapy research of SA.