Network Pharmacological Analysis and Preliminary Validation of Mechanisms of Poria cocos (Schw.) Wolf Against Stroke

Abstract

To investigate the active ingredients and mechanism of Poria cocos (Schw.) wolf (PCW) against stroke based on network pharmacology. TCMSP database was used to obtain active ingredients of PCW, and targets of ingredients were retrieved from the SwissTargetPrediction database. The targets of stroke were searched from Genecards and PALM-IST database, Venny 2.1 was used to screen the common targets between drugs and disease, and the protein-protein interaction network of the targets was constructed by String 11.0. Gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis of targets were based on Metascape database. The molecular docking verification was carried out by SwissDock. 6 chemical active components were screened from PCW, and acts on 35 stroke targets. Go enrichment analysis showed that the biological process mainly involved in blood circulation, etc. KEGG pathway enrichment analysis showed that PCW played a therapeutic role in stroke by regulating neuroactive ligand-receptor interaction, etc. The molecular docking results showed that the trametenolic acid and 3beta-Hydroxy-24-methylene-8-lanostene-21-oic acid had the strong binding effect with TNF, etc. PCW against stroke may be related to its multiple targets and multiple signaling pathways, provide theoretical basis for further experimental and clinical research.