Mechanism of action of Buyang Huanwu decoction in treatment of cervical spondylosis:A study based on network pharmacology
Objective:To investigate the mechanism of action of Buyang Huanwu decoction in the treatment of cervical spondylosis based on network pharmacology and molecular docking.Methods:TCMSP and professional chemical databases were used to obtain the active components of Buyang Huanwu decoction,and potential targets were predicted and standardized.PharmGKB,DisGeNET,OMIM,and GeneCards databases were used to obtain the disease targets of cervical spondylosis,and Venn diagram was used to obtain the intersecting targets of Buyang Huanwu decoction and cervical spon-dylosis.CytoScape software was used to construct a traditional Chinese medicine-active components-disease target net-work and a protein-protein interaction network to obtain the core effective constituents and the key targets,and David data-base was used to perform enrichment analysis of potential targets.AutoDock Vina software was used to perform molecular docking of the effective constituents of Buyang Huanwu decoction and the key targets.Results:A total of 97 active compo-nents were obtained for Buyang Huanwu decoction in the treatment of cervical spondylosis,including quercetin,kaempfer-ol,baicalein,and luteolin;64 intersecting targets were obtained,and the key targets included IL-6,TNF,AKT1,and IL-1 B.The main pathways included TNF,IL-17,and PI3K/Akt signaling pathways.Molecular docking showed close binding activity between the core effective constituents and the key targets,which provided corresponding conditions for Buyang Huanwu decoction in the treatment of cervical spondylosis.Conclusion:This study predicts the active components,targets,and signaling pathways of Buyang Huanwu decoction in the treatment of cervical spondylosis and shows wide action path-ways,which provides a reference and ideas for clinical application in the future.
cervical spondylosisBuyang Huanwu decoctionmechanism of actionnetwork pharmacologymo-lecular docking
NETL
NSTL
万方数据
