Network pharmacology-based prediction and verification of the mechanism for Bushen Chengyun granule on low endometrial receptivity

摘要

ObjectiveBushen Chengyungranule (BCG) is an empirical treatment for female infertility (FI) caused by low endometrial receptivity (LER) involving a poorly understood mechanism. In this study, network pharmacology was used to explore the potential therapeutic mechanism of BCG on FI caused by LER.MethodsThe corresponding herb targets were obtained by conducting a search in the Traditional Chinese Medicine Systems Pharmacology Database and PubMed-reported literature. Disease targets were obtained from the following databases: Comparative Toxicogenomics Database, Human Phenotype Ontology, and Therapeutic Target Database. Treatments for LER using BCG have used target matching (BCG – LER target). Then, the predicted targets were uploaded to the Search Tool for the Retrieval of Interacting Genes/Proteins database for gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses. Furthermore, triptorelin acetate for injection?+?menotrophin?+?chorionic gonadotropin for injection were used to establish a mouse model of blastocyst implantation disorder and to evaluate thein?vivoeffect of BCG on blastocyst implantation.ResultsOverall, 156 bioactive chemical components and 1092 targets of BCG were identified. The results indicated that 482 biological processes (FDR?