Fan Rui, Sui Yanbo
The School of Graduate, Heilongjiang University of Chinese Medicine, Harbin 150000, China.
Department of Cardiovascular Disease, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150000, China.
Evid Based Complement Alternat Med. 2022 May 23;2022:5093486. doi: 10.1155/2022/5093486. eCollection 2022.
This article aims to explore the impact and mechanism of invigorating qi and promoting blood circulation (IQPBC) on angiogenesis after myocardial infarction (AMI) by using network pharmacology approach.
First, IQPBC was searched on the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), and the main active ingredients and targets of IQPBC were screened and obtained. Second, by virtue of GeneCards and Online Mendelian Inheritance in Man (OMIM) databases, the targets related to AMI are screened and then obtained. Then, the intersection targets between IQPBC and AMI can be obtained by using online tool Venny 2.1.0. Third, based on the STRING database, the interaction of target proteins is established and some key targets can be analyzed and obtained. Finally, the IQPBC-AMI interaction network is constructed by using Cytoscape, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses are executed by DAVID and OmicShare databases.
143 intersection targets between IQPBC and AMI are obtained. Besides, key active ingredients, namely, quercetin, tanshinone, kaempferol, and luteolin, are shown. Furthermore, AKT1, VEGFA, STAT3, HIF-1, and other 10 key targets are obtained. A total of 752 enrichment results are acquired by using GO analysis. KEGG pathway enrichment analysis shows 241 signaling pathways, focusing on cancer, fluid shear stress and atherosclerosis, and TNF and PI3K/AKT signaling pathways.
This article studies the potential targets and signaling pathways of IQPBC drugs acting on AMI via the network pharmacology approach, which better illustrates the effect and mechanism, and provides some good ideas for the following mechanism research studies.
本文旨在运用网络药理学方法探讨益气活血法对心肌梗死(AMI)后血管生成的影响及机制。
首先,在中国中药系统药理学数据库与分析平台(TCMSP)中检索益气活血法,筛选并获取其主要活性成分和靶点。其次,借助基因卡片(GeneCards)和人类孟德尔遗传在线数据库(OMIM)筛选并获取与AMI相关的靶点。然后,使用在线工具Venny 2.1.0获取益气活血法与AMI之间的交集靶点。第三,基于STRING数据库建立靶蛋白的相互作用,分析并获取一些关键靶点。最后,利用Cytoscape构建益气活血法-AMI相互作用网络,并通过DAVID和OmicShare数据库进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。
获得益气活血法与AMI之间的143个交集靶点。此外,还展示了关键活性成分,即槲皮素、丹参酮、山奈酚和木犀草素。此外,还获得了AKT1、VEGFA、STAT3、HIF-1等10个关键靶点。通过GO分析共获得752个富集结果。KEGG通路富集分析显示241条信号通路,主要集中在癌症、流体剪切力与动脉粥样硬化以及TNF和PI3K/AKT信号通路。
本文通过网络药理学方法研究了益气活血法药物作用于AMI的潜在靶点和信号通路,更好地阐明了其作用效果和机制,为后续的机制研究提供了一些有益的思路。