A Network Pharmacology Approach to Determining the Mechanism of Eucommia ulmoides-Epimedium brevicornu Maxim against Osteoporosis  

作　　者：Hefang Xiao Meng Zhang Jia Zheng 

机构地区：[1]Department of Orthopedics,Henan Provincial People’s Hospital,Zhengzhou University.450003,China

出　　处：《TMR Pharmacology Research》2021年第3期48-55,共8页TMR药理学研究

基　　金：This work was supported by National key research and development program of China(122300411149).

摘　　要：Background:Eucommia ulmoides and Epimedium brevicornu Maxim are widely used for the treatment of osteoporosis,but the mechanism of action for these plant extracts has not been elucidated.Methods:We used data mining and network pharmacology methods to evaluate the active ingredients of the drugs and hub targets.The system pharmacological analysis platform,PharmMapper,and the traditional Chinese medicine systems pharmacology database were used to retrieve the chemical composition and targets of EU-EBM,and osteoporosis targets were retrieved from five databases.The selected genes were further analyzed using the string database and Cytoscape software.The protein-protein interaction and composition-target networks were drawn.Finally,molecular docking was performed for verification.Results:A total of 51 active ingredients and 108 common key targets were identified.Enrichment analysis of the 108 key targets showed that the most relevant potential signaling pathway was the TNF pathway.In the composition-target and PPI networks,the seven hub genes included MAPK1,TNF,AKT1,CCND1,FOS,JUN,and TP53.Finally,the chemical composition and potential target proteins were scored through molecular docking and compared with the protein’s ligand to verify the network pharmacology predictions.Conclusion:The network pharmacology analysis indicated that beta-carotene reduces the production of TNF-α,which may act via Jun to attenuate osteoblast apoptosis through the Akt/Nrf2/HO-1 signaling pathway.This analysis provides a solid foundation for further experimental research.

关 键 词：OSTEOPOROSIS network pharmacology molecular docking hub gene 

分 类 号：R73[医药卫生—肿瘤]