基于系统药理学的茵陈作用机制研究
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  • 英文篇名:Study on the Mechanism of Artemisia capillaries Based on Systems Pharmacology
  • 作者:陈国铭 ; 汤顺莉 ; 邝梓君 ; 黄雁 ; 赵金龙 ; 於菁雯 ; 陈子茵 ; 林洪荣 ; 黄楚瑶 ; 许华
  • 英文作者:CHEN Guoming;TANG Shunli;KUANG Zijun;HUANG Yan;ZHAO Jinlong;YU Jingwen;CHEN Ziyin;LIN Hongrong;HUANG Chuyao;XU Hua;The First Clinical College of Guangzhou University of TCM;The Third Clinical College of Guangzhou University of TCM;Acupuncture Rehabilitation Clinical College of Guangzhou University of TCM;Dept.of Pediatrics, the First Affiliated Hospital of Guangzhou University of TCM;
  • 关键词:系统药理学 ; 茵陈 ; 有效化合物 ; 靶标蛋白 ; 信号通路 ; 药理作用
  • 英文关键词:Systems pharmacology;;Artemisia capillaries;;Effective compound;;Target protein;;Signaling pathway;;Pharmacological effect
  • 中文刊名:ZGYA
  • 英文刊名:China Pharmacy
  • 机构:广州中医药大学第一临床医学院;广州中医药大学第三临床医学院;广州中医药大学针灸康复临床医学院;广州中医药大学第一附属医院儿科;
  • 出版日期:2018-05-30
  • 出版单位:中国药房
  • 年:2018
  • 期:v.29;No.628
  • 基金:国家自然科学基金资助项目(No.81373686)
  • 语种:中文;
  • 页:ZGYA201810005
  • 页数:8
  • CN:10
  • ISSN:50-1055/R
  • 分类号:21-28
摘要
目的:探讨茵陈可能的药理作用机制,为其进一步开发利用提供参考。方法:利用中药系统药理学分析平台数据库(TCMSP)筛选茵陈的有效成分和相关靶标蛋白;运用Cytoscape 3.5.1软件构建茵陈有效化合物-靶标蛋白可视化网络,并进行拓扑学分析;借助STRING数据库进行蛋白质与蛋白质相互作用(PPI)网络的构建与分析;通过DAVID生物信息学资源数据库对靶标蛋白编码基因进行KEGG通路富集分析。结果:共筛选出茵陈有效化合物13个,靶标蛋白189个,KEGG富集通路34条。槲皮素、β-谷甾醇、异鼠李素、Artepillin C等是主要有效化合物,前列腺素G/H合成酶2(PTGS2)、热休克蛋白90(HSP90)、二肽基肽酶Ⅳ、蛋白激酶A催化亚基Cα等是主要靶标蛋白;转录因子AP-1(JUN)、细胞肿瘤抗原p53在PPI网络中发挥了关键作用;靶标蛋白编码基因主要富集在肿瘤坏死因子α(TNF-α)信号通路、缺氧诱导因子1(HIF-1)信号通路、Toll样受体信号通路、磷脂酰肌醇-3-激酶/丝苏氨酸蛋白激酶(P13K/Akt)信号通路、T细胞受体信号通路、甲状腺激素信号通路、凋亡信号通路等通路上。结论:茵陈中的槲皮素、β-谷甾醇、异鼠李素等化合物可能通过TNF-α信号通路、HIF-1信号通路、PI3K/Akt信号通路等作用于PTGS2、HSP90、JUN等靶标蛋白,进而发挥其抗炎、抗肿瘤等药理作用。
        OBJECTIVE:To investigate the possible mechanism of Artemisia capillaries,and to provide reference for further development and utilization of it. METHODS:The effective components and related target protein of A. capillaries were screened by Traditional Chinese Medicine Systems Pharmacology(TCMSP) analysis platform database. The effective compound-target protein visual network of A. capillaries was established by using Cytoscape 3.5.1 software,topology analysis was also performed.The protein-protein interaction(PPI) network was constructed and analyzed by STRING database. KEGG pathway enrichment of target protein coding gene was analyzed by DAVID bioinformatics resource database. RESULTS:A total of 13 kinds of effective compounds,189 target proteins and 34 enrichment pathways were selected. Quercetin,β-glutamol,isorhamnetin and artepillin C were main effective compounds. Prostaglandin G/H sythase 2(PTGS 2),heat shock protein 90(HSP 90),dipeptidyl peptidase Ⅳ,protein kinase A catalytic subunit Cα were main target proteins. Transcription factor AP-1 and cell tumor antigen p53 played a key role in PPI network. The target protein coding gene was rich in TNF-α signaling pathway,HIF-1 signaling pathway,Toll-like receptor signaling pathway,PI3K/Akt signaling pathway,T cell receptor signaling pathway,thyroid hormone signaling pathway,apoptotic signaling pathway,etc. CONCLUSIONS:Quercetin,β-glutamol and isorhamnetin of A. capillaries play an effect on PTGS2,HSP90,transcription factor AP-1 and other target proteins through TNF-α signaling pathway,HIF-1 signaling pathway and PI3K/Akt signaling pathway,so as to play anti-inflammatory and antitumor effect.
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