Exploring the Mechanism of Buyang Huanwu Decoction Alleviating Restenosis by Regulating VSMC Phenotype Switching and Proliferation by Network Pharmacology and Molecular Docking.
Xueqin Chen, Jingyue Yu, Huan Lei, Lei Li, Xupin Liu, Bo Liu, Yanfei Xie, Haihong Fang
{"title":"Exploring the Mechanism of Buyang Huanwu Decoction Alleviating Restenosis by Regulating VSMC Phenotype Switching and Proliferation by Network Pharmacology and Molecular Docking.","authors":"Xueqin Chen, Jingyue Yu, Huan Lei, Lei Li, Xupin Liu, Bo Liu, Yanfei Xie, Haihong Fang","doi":"10.2174/1573409919666230203144207","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Buyang Huanwu Decoction (BHD) is used to regulate blood circulation and clear collaterals and is widely used in coronary heart disease. However, the active compounds and the mechanism of BHD used to treat restenosis are less understood.</p><p><strong>Objective: </strong>The study aimed to explore the potential mechanism of Buyang Huanwu decoction BHD for the treatment of restenosis using network pharmacology and molecular docking experiments.</p><p><strong>Methods: </strong>The bioactive components of BHD and their corresponding targets were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Encyclopaedia of Traditional Chinese Medicine (ETCM) databases as well as literature. Restenosisassociated therapeutic genes were identified from the OMIM, Drugbank, GEO, and Dis- GeNET databases. Genes related to the vascular smooth muscle cell (VSMC) phenotype were obtained from the gene ontology (GO) database and literature. The core target genes for the drug-disease-VSMC phenotype were identified using the Venn tool and Cytoscape software. Moreover, the \"drug-component-target-pathway\" network was constructed and analyzed, and pathway enrichment analysis was performed. The connection between the main active components and core targets was analyzed using the AutoDock tool, and PyMOL was used to visualize the results.</p><p><strong>Results: </strong>The \"compound-target-disease\" network included 80 active ingredients and 599 overlapping targets. Among the bioactive components, quercetin, ligustrazine, ligustilide, hydroxysafflor yellow A, and dihydrocapsaicin had high degree values, and the core targets included TP53, MYC, APP, UBC, JUN, EP300, TGFB1, UBB, SP1, MAPK1, SMAD2, CTNNB1, FOXO3, PIN1, EGR1, TCF4, FOS, SMAD3, and CREBBP. A total of 365 items were obtained from the GO functional enrichment analysis (p < 0.05), whereas the enrichment analysis of the KEGG pathway identified 30 signaling pathways (p < 0.05), which involved the TGF-β signaling pathway, Wnt signaling pathway, TRAF6-mediated induction of NF-κB and MAPK pathway, TLR7/8 cascade, and others. The molecular docking results revealed quercetin, luteolin, and ligustilide to have good affinity with the core targets MYC and TP53.</p><p><strong>Conclusion: </strong>The active ingredients in BHD might act on TP53, MYC, APP, UBC, JUN, and other targets through its active components (such as quercetin, ligustrazine, ligustilide, hydroxysafflor yellow A, and dihydrocapsaicin). This action of BHD may be transmitted via the involvement of multiple signaling pathways, including the TGF-β signaling pathway, Wnt signaling pathway, TRAF6-mediated induction of NF-κB and MAPK pathway, and TLR7/8 cascade, to treat restenosis by inhibiting the phenotype switching and proliferation of VSMC.</p>","PeriodicalId":10886,"journal":{"name":"Current computer-aided drug design","volume":"19 6","pages":"451-464"},"PeriodicalIF":1.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current computer-aided drug design","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/1573409919666230203144207","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Buyang Huanwu Decoction (BHD) is used to regulate blood circulation and clear collaterals and is widely used in coronary heart disease. However, the active compounds and the mechanism of BHD used to treat restenosis are less understood.
Objective: The study aimed to explore the potential mechanism of Buyang Huanwu decoction BHD for the treatment of restenosis using network pharmacology and molecular docking experiments.
Methods: The bioactive components of BHD and their corresponding targets were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Encyclopaedia of Traditional Chinese Medicine (ETCM) databases as well as literature. Restenosisassociated therapeutic genes were identified from the OMIM, Drugbank, GEO, and Dis- GeNET databases. Genes related to the vascular smooth muscle cell (VSMC) phenotype were obtained from the gene ontology (GO) database and literature. The core target genes for the drug-disease-VSMC phenotype were identified using the Venn tool and Cytoscape software. Moreover, the "drug-component-target-pathway" network was constructed and analyzed, and pathway enrichment analysis was performed. The connection between the main active components and core targets was analyzed using the AutoDock tool, and PyMOL was used to visualize the results.
Results: The "compound-target-disease" network included 80 active ingredients and 599 overlapping targets. Among the bioactive components, quercetin, ligustrazine, ligustilide, hydroxysafflor yellow A, and dihydrocapsaicin had high degree values, and the core targets included TP53, MYC, APP, UBC, JUN, EP300, TGFB1, UBB, SP1, MAPK1, SMAD2, CTNNB1, FOXO3, PIN1, EGR1, TCF4, FOS, SMAD3, and CREBBP. A total of 365 items were obtained from the GO functional enrichment analysis (p < 0.05), whereas the enrichment analysis of the KEGG pathway identified 30 signaling pathways (p < 0.05), which involved the TGF-β signaling pathway, Wnt signaling pathway, TRAF6-mediated induction of NF-κB and MAPK pathway, TLR7/8 cascade, and others. The molecular docking results revealed quercetin, luteolin, and ligustilide to have good affinity with the core targets MYC and TP53.
Conclusion: The active ingredients in BHD might act on TP53, MYC, APP, UBC, JUN, and other targets through its active components (such as quercetin, ligustrazine, ligustilide, hydroxysafflor yellow A, and dihydrocapsaicin). This action of BHD may be transmitted via the involvement of multiple signaling pathways, including the TGF-β signaling pathway, Wnt signaling pathway, TRAF6-mediated induction of NF-κB and MAPK pathway, and TLR7/8 cascade, to treat restenosis by inhibiting the phenotype switching and proliferation of VSMC.
期刊介绍:
Aims & Scope
Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design.
Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.