Objective:Bioinformatics analysis of Helicobacter pylori and non-alcoholic fatty liver disease gene chips was used to obtain common differentially expressed genes(DEGs)and predict the corresponding therapeutic herbs and effective active ingredients.Methods:The GSE5081 and GSE63067 datasets were screened in the GEO database,and the DEGs were screened and enriched by R software.With the help of STRING database and Cytoscape,protein-protein interaction network was constructed to screen out key genes.Then,the traditional Chinese medicine and active ingredients corresponding to the key genes were analyzed in the Coremine Medical and CTD databases.Results:A total of 14 common DEGs were screened from the two datasets,and the enrichment analysis was mainly related to inflammatory cells,glycolipid metabolism,and signaling pathways such as IL-17,NF-κB,and TNF.The targeted Chinese medicines are mainly of two types:expelling dampness and resolving phlegm,activating blood circulation and removing blood stasis,and among the active ingredients of the Chinese medicines,resveratrol,curcumin,sulforaphane,folic acid,and genistein appeared with the highest frequency.Conclusion:Bioinformatics screening identified common DEGs between Hp infection and NAFLD,and obtained eight key genes through protein-protein interactions network,which provided a new idea for the mechanism study of the relationship between the two occurrences and development as well as disease control.
维普
万方数据