Back to Search Start Over

基于网络药理学及生物信息学研究骨碎补 ̄淫羊藿 治疗骨质疏松的作用机制.

Authors :
陈锋
章晓云
陈跃平
李华南
甘斌
陈丁鹏
宋世雷
廖建钊
Source :
Chinese Journal of Osteoporosis. May2021, Vol. 27 Issue 5, p727-734. 8p.
Publication Year :
2021

Abstract

Objective Based on network pharmacology and bioinformatics, the molecular mechanism of drynariae rhizoma epimedii folium in the treatment of osteoporosis was discussed, in order to provide a new target for the treatment of osteoporosis. Methods The active ingredients of drynariae rhizoma-epimedii folium were screened through TCMSP database. The regulatory target was predicted through the UniProt database. The target for the treatment of osteoporosis was predicted according to the GEO database. The effective targets for the treatment of osteoporosis were obtained and the drug-component-target-pathway network was established using R language. The protein interaction network was constructed and the molecular docking between key active ingredients and key targets was verified using the Cytoscape software. Finally, the GO analysis and the KEGG pathway analysis of intersection genes were performed by using the DAVID database. Results Thirty-nine active ingredients and 17 therapeutic targets were obtained. The core targets in the protein interaction network were ESRI, PRKDC, HSPA8, EP300, and HSP90AA1. DAVID enrichment analysis showed that the biological process mainly covered xenobiotic metabolic process, steroid metabolic process. regulation of osteoclast differentiation. Signal pathway mainly included NF-kB signaling pathway, PI3K-AKT signaling pathway. and HIF-1 signaling pathway. Conclusion Analysis of the treatment of osteoporosis with drynariae rhizoma-epimedii folium through pharmacology and bioinformatics network enables us not only to identify the currently known biological processes and signaling pathways, but also to provide a reference for further research on the substance basis and action targets of drynariae rhizoma-epimedii folium in the treatment of osteoporosis. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10067108
Volume :
27
Issue :
5
Database :
Academic Search Index
Journal :
Chinese Journal of Osteoporosis
Publication Type :
Academic Journal
Accession number :
151068808
Full Text :
https://doi.org/10.3969/j.issn.1006-7108.2021.05.021