Abstract: AIM: To predict and screen the active components and potential targets of turmeric in the treatment of asthma by network pharmacology technology. METHODS: Active components and target sites of turmeric were predicted and screened through BATMAN-TCM, and Cytoscape3.7.0 software was used to construct the component and target network of turmeric for asthma treatment, PPI network was constructed with STRING database, and GO enrichment and KEGG signal pathway of target sites were analyzed with KOBAS database. RESULTS:A total of 29 turmeric active ingredient were obtained, 15 targets involving asthma were screened, mainly related to ADRB2, ADORA1, ADORA2B targets, including 13 targets has interaction relations; with P<0.05 as filter, 1 769 GO biological processes were obtained; its function involved the metabolic process of compounds containing phosphate and phosphorus metabolism and cAMP metabolic process, etc. Fifty-four signaling pathways were screened, among which the first 10 KEGG pathways were cAMP signaling pathway and Fc epsilon RI signaling pathway. CONCLUSION:The mechanism of action of turmeric in treating asthma through multi-component, multi-target and multi-pathway pathways such as cAMP signaling pathway and Fc epsilon RI is revealed, which provides theoretical support for the development and elucidation of targeted drugs.

Key words: turmeric, asthma, network pharmacology, mechanism