RESUMEN
Objective:To explore the key genes and pathways that may play an important role in the pathogenesis of acne by bioinformatics analysis.Methods:GSE6475 and GSE53795 datasets were collected from GEO database, and 18 acne lesions tissues and 18 normal skin tissues were compared. David database was used to analyze the gene ontology (GO) and the key pathway (Kyoto Encyclopedia of genes and genomes, KEGG) of the differential genes, to establish the protein interaction network of the differential genes, and to obtain the most relevant key genes and important clusters.Results:A total of 314 up-regulated genes and 62 down-regulated genes were filtered from those GEO profiles. KEGG pathway analysis showed that these differential genes were mainly enriched in Staphylococcus aureus infection, osteoclast differentiation, pentose and glucuronate interconversions. In addition, 379 nodes and ten key genes (CXCL8, PTPRC, IL1B, ITGB2, CXCR4, ICAM1, CCR5, SELL, C3AR1 and PLEK) were screened out by protein interaction network.Conclusions:The key genes and pathways identified in this study may be new targets for intervention in the development of acne.