文献类型：期刊文献

中文题名：基于网络药理学与分子对接探讨黄芪治疗溃疡性结肠炎的作用机制

英文题名：Study on the Mechanism of Astragali Radix in the Treatment of Ulcerative Colitis Based on Network Pharmacology and Molecular Docking

作者：郝民琦[1,2,3];王佳慧[1,2];李晓玲[1,2];李海龙[2,4];吴玉泓[1]

第一作者：郝民琦

机构：[1]甘肃中医药大学基础医学院,兰州730000;[2]甘肃中医药大学敦煌医学与转化教育部重点实验室,兰州730000;[3]甘肃中医药大学中医方药挖掘与创新转化重点实验室,兰州730000;[4]甘肃中医药大学第一临床医学院,兰州730000

第一机构：甘肃中医药大学基础医学院（敦煌医学研究所）

年份：2021

卷号：32

期号：10

起止页码：1215

中文期刊名：中国药房

外文期刊名：China Pharmacy

收录：CSTPCD;;北大核心:【北大核心2020】；

基金：国家自然科学基金资助项目(No.81860810);国家中医药管理局第四批全国中医基础优秀人才研修项目(No.国中医药人教发〔2017〕24号);2018年甘肃省中医药管理局科研项目(No.GZK-2018-5);敦煌医学与转化教育部重点实验室2018年度开放基金项目(No.DHYX18-17);甘肃中医药大学科学研究与创新基金项目(No.2019KCZD-5)。

语种：中文

中文关键词：黄芪;活性成分;溃疡性结肠炎;网络药理学;分子对接;作用机制

外文关键词：Astragali Radix;Active ingredients;Ulcerative colitis;Network pharmacology;Molecular docking;Mechanism of action

摘要：目的:预测黄芪对溃疡性结肠炎(UC)的可能作用靶点与机制,为临床应用黄芪治疗UC的后续研究提供参考。方法:经中药系统药理学分析平台数据库(TCMSP)和UniProt KB数据库检索黄芪的活性成分及其对应靶点基因,经Gene Cards数据库检索UC疾病相关靶点基因,借助Venny 2.1.0在线作图工具获取黄芪与UC的交集靶点基因,并应用Cytoscape 3.7.0软件构建“药物-化合物-交集靶点”相互作用网络。利用STRING数据库获取交集靶点的蛋白质-蛋白质相互作用关系(PPI)网络,并应用Cytoscape 3.7.0软件进行可视化分析和拓扑学分析以获取核心靶点基因。借助DAVID数据库对交集靶点基因进行基因本体(GO)功能注释及KEGG通路富集,并应用Cytoscape 3.7.0软件构建“靶点-通路”富集网络。通过AutoDock vina 1.1.2软件将度值排名前5位的活性成分与核心靶点基因编码蛋白进行分子对接,应用Discovery Studio 3.5软件绘制结合模式图。结果:黄芪中共有化合物143个,共筛选出了活性成分20个,对应的靶点基因189个;UC疾病相关靶点基因共4356个。黄芪(涉及14种活性成分)与UC的交集靶点基因有126个。PPI网络中的核心靶点基因为AKT1、MAPK1、RB1、JUN等。GO功能注释共得到GO条目2294个(q值<0.05),包括生物过程条目2093个(如对脂多糖的反应、对细菌来源分子的反应等)、细胞组成条目49个(如膜筏、膜微区等)、分子功能条目152个(如核受体活性、配体激活的转录等)。KEGG通路富集分析共得到条目160个(q值<0.05),如流体剪切应力和动脉粥样硬化信号通路、磷脂酰肌醇3激酶/蛋白激酶B(PI3K/Akt)、白细胞介素17(IL-17)信号通路等。分子对接结果显示,度值排名前5位的活性成分(槲皮素、山柰酚、芒柄花黄素、异鼠李素、7-O-methylisomucronulatol)与核心靶点编码蛋白的结合能均小于-5.0 kcal/mol。结论:黄芪中的槲皮素、山柰酚、芒柄花黄素异等活性成分可能通过作用于MAPK14、JUN、AKT1等靶点基因,进而对PI3K/Akt、IL-17等信号通路产生调控作用,最终发挥对UC的治疗作用。
OBJECTIVE:To predict the potential target and mechanism of Astragali Radix in the treatment of ulcerative colitis(UC),and to provide reference for the clinical application of Astragali Radix in the treatment of UC.METHODS:The active components and their corresponding target genes of Astragali Radix were retrieved by TCMSP and UniProt KB database.The related target genes of UC were searched by Gene Cards database.The intersection target genes of Astragali Radix and UC were obtained by Venny 2.1.0 online mapping tool,and interaction network of“drug-compound-intersection target”was constructed by using Cytoscape 3.7.0 software.PPI network of intersecting targets was obtained by using STRING database,and the visualization analysis and topological analysis were carried out by using Cytoscape 3.7.0 software to obtain the core target genes.By using DAVID database,the gene ontology(GO)function annotation and KEGG pathway enrichment of intersecting target genes were carried out,and the“target-pathway”enrichment network was constructed by using Cytoscape 3.7.0 software.Through AutoDock vina 1.1.2 software,the top five active components in the list of degree value were linked with the protein encoded by the core target genes;Discovery Studio 3.5 software was applied to draw out binding pattern map.RESULTS:There were 143 compounds in Astragali Radix,20 active components were screened out,and 189 corresponding target genes were selected;there were 4356 UC disease related target genes.There were 126 intersection target genes of Astragali Radix(involving 14 active components)and UC.The core target genes in PPI network were AKT1,MAPK1,RB1,JUN,etc.A total of 2294 GO items(q value<0.05)were obtained from GO functional annotation,including 2093 biological process items(e.g.response to lipopolysaccharide,response to molecule of bacterial origin),49 cell composition items(e.g.membrane raft,membrane microdomain),and 152 molecular function items(e.g.nuclear receptor activity,ligand-activated transcription factor activity).KEGG pathway enrichment analysis yielded 160 items(q value<0.05),such as fluid shear stress and atherosclerosis signaling pathway,phosphatidylinositol 3 kinase/protein kinase B(PI3K/Akt)signaling pathway,interleukin-17(IL-17)signaling pathway.Molecular docking results showed that top 5 active ingredients(quercetin,kaempferol,formenonetin,isorhamnetin,7-O-methylisomucronulatol)in the list of degree value had binding energies<5.0 kcal/mol with the protein encoded core targets.CONCLUSIONS:Quercetin,kaempferol,formononetin and other active components in Astragali Radix may play a role in the treatment of UC through the action of MAPK14,JUN,AKT1 and other target genes,and then on the signal pathways such as PI3K/Akt and IL-17.