This study aims to screen key genes associated with gastritis associated with Helicobacter pylori (Hp),analyze the pathway mechanism,and predict potential traditional Chinese medicines for treating it based on bioinformatics.The GSE60427 and GSE60662 datasets were obtained from the GEO database,the differentially expressed genes were screened out with R software and enriched and analyzed,the key genes were further screened out by STRING database and Cytoscape software,and the expression verification analysis of key genes were performed by UALCAN database,GEPIA database,and traditional Chinese medicines were predicted and screened in Coremine Medical database.A total of 344 differentially expressed genes were screened for biological functions such as leukocyte adhesion,T cell activation,immune response,chemokine receptor binding,and other signaling pathways through Th17 cell differentiation,Th1 and Th2 cell differentiation.The ten key genes obtained are PTPRC,TNF,ITGB2,FCGR3A,CD19,LCK,LCP2, CD48,CTLA4,IL7R.Combined with the theory of "toxicity" in Chinese medicine,the predicted traditional Chinese medicine is divided into four groups:strengthening the spleen and detoxification,resolving dampness and detoxification,invigorating the blood and detoxification and clearing away heat and detoxification,and these medicines can provide ideas for the treatment of Hp-related gastritis,inhibition of "inflammation-cancer" transformation,and prevention and treatment of gastric cancer.