Résumé
Objective: Sweating is one of the important processing methods of traditional Chinese medicine. Some ingredient content of Magnoliae Officinalis Cortex (MOC) is changed after sweating which may cause the difference of efficacy. However, the molecular mechanism of how the changes of ingredient content of MOC affect the efficacy is not clear exactly. Based on the network pharmacology, the relationship between the changes of the ingredient content of MOC and the efficacy after sweating was studied. Methods: The major difference of chemical ingredients before and after sweating were screened out based on the literatures. Swiss Target Prediction was used to predict the potential targets of these components. The high confidence (score 0.900) genes/targets selected out by STRING database were used to construct protein-protein interactions network by using cytoscape 3.6.0. The clusterProfiler package in R was used to analyze gene ontology (GO) function and Kyoto encyclopedia of genes and genomes (KEGG) pathway. Results: Nine different components (asimilobine, β-eudesmol, honokiol, magnatriol B, magnoflorine, magnolol, magnoloside A, reticuline, and syringin) were screened out. A total of 137 genes/targets were obtained (86 after deduplication). After GO annotation and KEGG enrichment analysis of the network, 550 GO-terms and 30 KEGG pathways were obtained. Conclusion: Through analysis, the change in the pharmacological effects of MOC after sweating is the result of the interaction between the components. The analgesic and anti-gastric ulcer effects of MOC may be mainly produced through the serotonergic synapse, arachidonic acid metabolism and calcium signaling pathway. And the changes in the content of chemical components such as magnolol, honokiol and β-eudesmol are the main reasons for the difference in the efficacy of MOC before and after sweating.