Abstract:

Data mining and network pharmacology were used to investigate the rules of using traditional Chinese medicine for treating peptic ulcer and to screen the potential targets of core drugs to study their mechanism of action in the treatment of peptic ulcer. The core pairs were derived via frequency and association rule analyses, and the active components and targets of the core pairs were screened. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses of the key targets of core drugs for the treatment of peptic ulcer were performed. A component-target-signaling pathway network was established. Results revealed that the 233 prescriptions for the treatment of peptic ulcer included 216 traditional Chinese medicines, of which Poria- Atractylodis Macrocephalae Rhizoma was the core pair. The 22 chemical components of the core drug pair corresponded to 143 potential targets, among which 41 intersected with peptic ulcer. Through GO analysis, 92 biological processes, 5 molecular functions, and 11 cellular compositions were identified, and through and KEGG analysis, 15 signaling pathways. The core drugs can exert the therapeutic effect on peptic ulcer through JUN,IL6,TP53,AKT1,VEGFA,MAPK1,CASP3,EGFR,RB1,and IL1B target, regulating IL-17, PI3K-AKT, NF-κB, and epithelial cell signaling in Helicobacter pylori infection and other related pathways. In this study, we explored the rules of Traditional Chinese Medicine for peptic ulcer and preliminarily elaborated the pharmacological effects of the core drug pair Poria- Atractylodis Macrocephalae Rhizoma for the treatment of peptic ulcer to provide references for clinical dosing and new drug research.

Key words: peptic ulcer, data mining, network pharmacology, medication rules