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基于网络药理学和分子对接探讨参麦注射液治疗心房颤动的活性成分及作用机制

[Active components and action mechanism of Shenmai Injection in treatment of atrial fibrillation based on network pharmacology and molecular docking].

作者信息

Wang Yi-Xin, Liu Peng, Li Tong, Qin Xing-Hua, Zheng Qiang-Sun

机构信息

Department of Cardiology, the Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.

School of Life Sciences, Northwestern Polytechnical University Xi'an 710072, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2021 Sep;46(17):4511-4521. doi: 10.19540/j.cnki.cjcmm.20210609.704.

Abstract

This study aims to explore the active components and molecular mechanism of Shenmai Injection in the treatment of atrial fibrillation(AF) based on the application of network pharmacology and molecular docking technology. The chemical components of single herbs of Shenmai Injection were collected from TCMSP and TCMID, with the standard chemical name and PubChem CID(referred to as CID) obtained from PubChem database. The active components were screened using SwissADME, and their targets were predicted using SwissTargetPrediction. Targets related to AF treatment were identified using GeneCards, OMIM, and other databases. Venn diagram was constructed using Venny 2.1 to obtain the intersection targets. The single herb-active component-potential target network was constructed using Cytoscape, and the clusterProfiler R function package was used to perform the gene ontology(GO) and Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment. The protein-protein interaction(PPI) network of intersection targets was generated based on the STRING database. The hub target protein was identified by visualization using Cytoscape, and then docked to its reverse-selected active components. The analysis showed that there were 65 active components with 681 corresponding targets in Shenmai Injection, 2 798 targets related to AF treatment, and 235 intersection targets involving 2 549 GO functions and 153 KEGG pathways. Finally, hub target proteins, including RAC-alpha serine/threonine-protein kinase(AKT1), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha(PIK3 CA), and estrogen receptor 1(ESR1), were screened out by PPI network visualization. The molecular docking was performed for 39 active components screened out in reverse, among which 30 active components de-monstrated high affinity. Among them, homoisoflavanoids CID 10871974, CID 5319742, and CID 10361149 had stronger affinity docking with AKT1. This study preliminarily indicates that Shenmai Injection treats AF through multiple components, multiple targets, and multiple pathways. Homoisoflavonoids of Ophiopogon japonicus are its important active components, which target AKT1 to regulate metabolism, inflammation, and apoptosis in AF treatment.

摘要

本研究旨在基于网络药理学和分子对接技术,探讨参麦注射液治疗心房颤动(AF)的活性成分及分子机制。参麦注射液单味药材的化学成分从中药系统药理学数据库(TCMSP)和中医综合数据库(TCMID)中收集,标准化学名称和PubChem CID(简称CID)从PubChem数据库获取。使用瑞士药代动力学预测平台(SwissADME)筛选活性成分,使用瑞士靶点预测工具(SwissTargetPrediction)预测其靶点。使用基因卡片数据库(GeneCards)、在线人类孟德尔遗传数据库(OMIM)等数据库鉴定与AF治疗相关的靶点。使用Venny 2.1构建维恩图以获得交集靶点。使用Cytoscape构建单味药材-活性成分-潜在靶点网络,并使用clusterProfiler R函数包进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析。基于STRING数据库生成交集靶点的蛋白质-蛋白质相互作用(PPI)网络。通过Cytoscape可视化鉴定枢纽靶点蛋白,然后将其与反向选择的活性成分进行对接。分析表明,参麦注射液中有65种活性成分,对应681个靶点,2798个与AF治疗相关的靶点,以及235个交集靶点,涉及2549个GO功能和153条KEGG通路。最后,通过PPI网络可视化筛选出枢纽靶点蛋白,包括RAC-α丝氨酸/苏氨酸蛋白激酶(AKT1)、磷脂酰肌醇-4,5-二磷酸3-激酶催化亚基α(PIK3 CA)和雌激素受体1(ESR1)。对反向筛选出的39种活性成分进行分子对接,其中30种活性成分表现出高亲和力。其中,同型异黄酮CID 10871974、CID 5319742和CID 10361149与AKT1的对接亲和力更强。本研究初步表明,参麦注射液通过多成分、多靶点、多途径治疗AF。麦冬中的同型异黄酮是其重要的活性成分,在AF治疗中靶向AKT1以调节代谢、炎症和细胞凋亡。

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