Exploring the Mechanism of Buyang Huanwu Decoction Alleviating Restenosis by Regulating VSMC Phenotype Switching and Proliferation by Network Pharmacology and Molecular Docking.

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Current computer-aided drug design Pub Date : 2023-01-01 DOI:10.2174/1573409919666230203144207
Xueqin Chen, Jingyue Yu, Huan Lei, Lei Li, Xupin Liu, Bo Liu, Yanfei Xie, Haihong Fang
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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.

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补阳还五汤通过调节VSMC表型转换和增殖减轻再狭窄的网络药理学和分子对接机制研究
背景:补阳还五汤具有活血通络的作用,在冠心病治疗中应用广泛。然而,BHD用于治疗再狭窄的活性化合物和机制尚不清楚。目的:通过网络药理学和分子对接实验,探讨补阳还五汤治疗再狭窄的潜在作用机制。方法:从中国中医系统药理学(TCMSP)和中国中医百科全书(ETCM)数据库及文献中检索BHD的生物活性成分及其相应的靶点。从OMIM、Drugbank、GEO和Dis- GeNET数据库中鉴定出再狭窄相关的治疗基因。从基因本体(GO)数据库和文献中获得与血管平滑肌细胞(VSMC)表型相关的基因。使用Venn工具和Cytoscape软件鉴定药物- vsmc表型的核心靶基因。构建并分析了“药物-成分-靶点-途径”网络,并进行了途径富集分析。使用AutoDock工具分析主要活性成分与核心目标之间的联系,并使用PyMOL将结果可视化。结果:“化合物-靶点-疾病”网络包含80个有效成分和599个重叠靶点。其中槲皮素、川芎嗪、川芎内酯、羟基红花黄A、二氢辣椒素度值较高,核心靶点包括TP53、MYC、APP、UBC、JUN、EP300、TGFB1、UBB、SP1、MAPK1、SMAD2、CTNNB1、FOXO3、PIN1、EGR1、TCF4、FOS、SMAD3、CREBBP。GO功能富集分析共获得365个项目(p < 0.05),而KEGG途径富集分析共鉴定出30条信号通路(p < 0.05),涉及TGF-β信号通路、Wnt信号通路、traf6介导的NF-κB和MAPK信号通路、TLR7/8级联等。分子对接结果显示槲皮素、木犀草素和藁本内酯与核心靶点MYC和TP53具有良好的亲和力。结论:BHD有效成分可能通过槲皮素、川芎嗪、川芎内酯、羟基红花黄A、二氢辣椒素等有效成分作用于TP53、MYC、APP、UBC、JUN等靶点。BHD的这种作用可能通过多种信号通路参与传递,包括TGF-β信号通路、Wnt信号通路、traf6介导的NF-κB和MAPK信号通路以及TLR7/8级联,通过抑制VSMC的表型转换和增殖来治疗再狭窄。
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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
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.
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