[1]朱亚玲,杨紫薇,高佳慧,等.三七-白及药对作用机制的网络药理学分析[J].华侨大学学报(自然科学版),2020,41(4):501-509.[doi:10.11830/ISSN.1000-5013.201910048]
　ZHU Yaling,YANG Ziwei,GAO Jiahui,et al.Network Pharmacology Analysis of Action Mechanism of PanaxNotoginseng-Bletillastriata[J].Journal of Huaqiao University(Natural Science),2020,41(4):501-509.[doi:10.11830/ISSN.1000-5013.201910048]
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三七-白及药对作用机制的网络药理学分析()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第41卷
期数:
2020年第4期
页码:
501-509
栏目:
出版日期:
2020-07-20

文章信息/Info

Title:
Network Pharmacology Analysis of Action Mechanism of PanaxNotoginseng-Bletillastriata
文章编号:
1000-5013(2020)04-0501-09
作者:
朱亚玲;  杨紫薇;  高佳慧;  陈建美;  陈璐;  孔雅珍;  刁勇
华侨大学 医学院, 福建 泉州 362021
Author(s):
ZHU Yaling;  YANG Ziwei;  GAO Jiahui;  CHEN Jianmei; CHEN Lu;  KONG Yazhen;  DIAO Yong
School of Medicine, Huaqiao University, Quanzhou 362021, China
关键词:
三七;  白及;  网络药理学;  活性成分;  作用机制
Keywords:
PanaxNotoginseng;  Bletillastriata;  network pharmacology;  active ingredients;  action mechanism
分类号:
R285.5
DOI:
10.11830/ISSN.1000-5013.201910048
文献标志码:
A
摘要:
通过网络药理学的方法,研究三七-白及药对在疾病治疗过程中潜在的药理作用机制.采用TCMSP数据库筛选三七-白及药对的活性成分和作用靶点,并用Uniprot数据库校正靶点信息得到靶点基因,利用CTD数据库获得靶点基因相关的疾病类型,通过STRING数据库构建靶点蛋白相互作用网络,分析得到核心蛋白,运用DAVID数据库富集分析靶点基因参与的基因本体论(GO)生物学过程及京都基因与基因百科全书(KEGG)通路.共筛选得到17个活性成分,涉及193个作用靶点.结果表明:槲皮素、β-谷甾醇和豆甾醇的作用靶点数目最多;靶点基因与35类疾病相关,主要包括癌症、神经系统疾病、心血管疾病等;蛋白相互作用网络分析得到核心蛋白AKT1,MAPK1,c-Jun,P53,TNF等;靶点基因主要涉及药物反应,RNA聚合酶Ⅱ启动子转录的正调控等91条GO生物学过程,KEGG通路显著富集到癌症通路、乙型肝炎等66条通路,与前述疾病分析结果相符.
Abstract:
The potential pharmacological mechanism of PanaxNotoginseng-Bletillastriata in the course of disease treatment was studied by means of network pharmacology. TCMSP database was used to screen active ingredients and targets of PanaxNotoginseng- Bletillastriata, and Uniprot database was used to correct target information to obtain target genes. CTD database was used to obtain the disease types related to target genes. Target protein interaction network was constructed by STRING database, and core protein was obtained by analysis. DAVID database was used to enrich and analyze Gene Ontology(GO)biological processes and Kyoto Encycbopedia of Genes and Genomes(KEGG)pathways involved in target genes. A total of 17 active ingredients were screened, involving 193 targets. The results showed that, quercetin, beta-sitosterol and stigmasterol were the most active targets. Target genes were associated with 35 diseases, mainly including cancer, nervous system diseases and cardiovascular diseases. Core proteins such as AKT1, MAPK1, c-Jun, P53 and TNF were obtained by network analysis. Target genes mainly involved 91 GO biological processes such as drug reaction and positive regulation of RNA polymerase Ⅱ promoter transcription. KEGG pathway was most significantly enriched in 66 pathways, such as cancer pathway and hepatitis B pathway, which is consistent with the analysis of the aforementioned diseases.

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备注/Memo

备注/Memo:
收稿日期: 2019-10-28
通信作者: 刁勇(1967-),男,教授,博士,博士生导师,主要从事基因药物的研究.E-mail:diaoyong@hqu.edu.cn.
基金项目: 福建省科技计划高校产学合作项目(2018Y4009); 福建省泉州市桐江学者特聘教授奖励计划资助项目(Z17X0232); 福建省泉州市科技计划高层次人才项目(2018C042R); 华侨大学科研基金资助项目(17BS501)http://www.hdxb.hqu.
更新日期/Last Update: 2020-07-20