Mechanism of Radix Paeoniae Alba in the treatment of liver fibrosis based on network pharmacology / 药学实践杂志

ABSTRACT

Objective To explore the possible mechanism of Radix Paeoniae Alba on hepatic fibrosis based on network pharmacology. Methods Tcmsp database was used to screen the active components of Paeonia alba. With the help of PubChem and Swiss target prediction database, the potential action targets of the effective components of Paeonia Alba were predicted. GeneCards and OMIM databases were used to screen the corresponding targets of liver fibrosis, and venn2.1.0 was used to obtain the common targets of white peony and liver fibrosis. Cytoscape 3.9.0 software was used to build the network diagram of “white peony - active ingredients - intersection target - liver fibrosis” and to predict the main active sites. String database was used to draw the PPI network. Go analysis of effective targets and enrichment analysis of KEGG in pathway were performed by David database. Results Six effective components, 213 targets of Paeonia Alba and 155 hepatic fibrosis targets were screened. There were 49 targets of Radix Paeoniae Alba in the treatment of liver fibrosis. The main active ingredients are kaempferol, paeoniflorin, mairin and β-Sitosterol. Go enrichment analysis showed 269 biological processes, 30 cell compositions, 64 molecular functions, and 67 pathways in KEGG pathway enrichment analysis. Conclusion The mechanism of anti-hepatic fibrosis of Radix Paeoniae Alba has been preliminarily studied through network pharmacology, which shows that Radix Paeoniae Alba has multi-component, multi-target, and multi-channel effects, and provides reference for further experimental research.