Study on mechanism of Phytolaccae Radix and its split components based on network pharmacology / 中国中药杂志

ABSTRACT

This paper aimed to explore the mechanism of the split components of Phytolaccae Radix by means of network pharmaco-logy. Based on the theoretical hypothesis of the nature and taste of traditional Chinese medicine, the chemical components of the separated components of Phytolaccae Radix were selected by using Traditional Chinese Medicine Systems Pharmacology Database(TCMSP) and Traditional Chinese Medicines IntegratedDatabase(TCMID) databases in combination with related literatures. Relevant target analysis was carried out based on PubChem and SwissTargetPrediction databases. Targets corresponding to disease were excavated based on GeneCards for each split component, corresponding potential targets were obtained through mapping the target set of target compounds to disease targets. GO biological process analysis and KEGG pathway enrichment analysis were performed on the mapped targets with the help of DAVID database. Based on Cytoscape software and the corresponding efficacy, the network diagram of "medicinal material-split components-compound-target-pathway" was constructed to explore the mechanism of different efficacy of the separated components of Cytoscape. And the target purgation and diuretic mapping was used as the target of the traditional efficacy of smoothening secretion for the first time. The study explored esculentoside component, fatty oil component and phenolic acid component, a total of 30 target compounds and 301 corresponding targets, involving 44 potential targets for "anti-inflammatory", 50 potential targets for "immunoregulation", 52 potential targets for "smoothening secretion", 28 potential targets for "antibacterial activity", 28 potential targets for "antiviral effect", and 29 potential targets for "antitumor effect". Topological analysis revealed 14 key gene targets such as MAPK8, MAPK14, EGFR and PTGS2. A total of 684 GO entries and 235 KEGG pathways were obtained through bioinformatics enrichment analysis, mainly involving TNF signaling pathway, NF-kappaB signaling pathway and MAPK signaling pathway. This study revealed the multi-component, multi-target, and multi-channel action mechanism of the split components of Phytolaccae Radix, which provided certain basis for the next step to clarify the split components of Phytolaccae Radix through the method of system biology, and injected new content and significance into the study of properties and flavors theory.