摘要
<strong>Objective:</strong> To investigate the potential mechanism of Drynariae Rhizoma-Epimedii Folium in the treatment of osteoarthritis (OA) based on network pharmacology. <strong>Methods:</strong> The potential active constituents and targets of Drynariae Rhizoma-Epimedii Folium were screened through the traditional Chinese medicine (TCM) systems pharmacology database and analysis platform (TCMSP). Genecards database is used to find relevant targets of OA. The targets of “Drynariae Rhizoma-Epimedii Folium” were mapped to the targets of OA, and used Cytoscape software to build a “drug-ingredient-target-di- sease” regulatory network and protein protein interaction (PPI) network. R software was used to analyze the Gene ontology (GO) function and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment of traditional Chinese medicine-disease targets. <strong>Results:</strong> Thirty-four effective ingredients and 130 traditional Chinese medicine-disease targets were screened out for the treatment of OA. The GO functions of traditional Chinese medicine-disease targets mainly included cytokine activity, cytokine receptor binding, nuclear receptor activity, transcription factor activity, proximal promoter DNA-binding transcription activator activity, DNA-binding transcription activator activity, phosphatase binding and so on. KEGG pathways involved in traditional Chinese medicine-disease targets mainly included TLR4 signaling pathway, TNF signaling pathway, IL-17 signaling pathway, MAPK signaling pathway, PI3K/AKT signaling pathway, apoptotic signaling pathway and so on. <strong>Conclusion:</strong> Network pharmacology may predict the multiple targets and multiple signaling pathways in Drynariae Rhizoma-Epimedii Folium treatment for OA, providing new ideas for future research.
<strong>Objective:</strong> To investigate the potential mechanism of Drynariae Rhizoma-Epimedii Folium in the treatment of osteoarthritis (OA) based on network pharmacology. <strong>Methods:</strong> The potential active constituents and targets of Drynariae Rhizoma-Epimedii Folium were screened through the traditional Chinese medicine (TCM) systems pharmacology database and analysis platform (TCMSP). Genecards database is used to find relevant targets of OA. The targets of “Drynariae Rhizoma-Epimedii Folium” were mapped to the targets of OA, and used Cytoscape software to build a “drug-ingredient-target-di- sease” regulatory network and protein protein interaction (PPI) network. R software was used to analyze the Gene ontology (GO) function and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment of traditional Chinese medicine-disease targets. <strong>Results:</strong> Thirty-four effective ingredients and 130 traditional Chinese medicine-disease targets were screened out for the treatment of OA. The GO functions of traditional Chinese medicine-disease targets mainly included cytokine activity, cytokine receptor binding, nuclear receptor activity, transcription factor activity, proximal promoter DNA-binding transcription activator activity, DNA-binding transcription activator activity, phosphatase binding and so on. KEGG pathways involved in traditional Chinese medicine-disease targets mainly included TLR4 signaling pathway, TNF signaling pathway, IL-17 signaling pathway, MAPK signaling pathway, PI3K/AKT signaling pathway, apoptotic signaling pathway and so on. <strong>Conclusion:</strong> Network pharmacology may predict the multiple targets and multiple signaling pathways in Drynariae Rhizoma-Epimedii Folium treatment for OA, providing new ideas for future research.
作者
Zonghui Dai
Hui Chen
Yongtao Xu
Zonghui Dai;Hui Chen;Yongtao Xu(Department of Medicine, Yangtze University, Jingzhou, China;Department of Orthopedics, Jingzhou Central Hospital, Second Clinical Medical Hospital, Yangtze University, Jingzhou, China)
