丹红注射液作用机制的计算机系统生物学研究(1)
[摘要]丹红注射液是传统中药丹参与红花的复方制剂，临床主适应症为冠心病、缺血性脑病等，疗效确切，已为医学界普遍接受。由于化学成分的复杂性，靶点作用的多样性，特别是系统生物学中，将丹红注射液作为一个整体调节生物学网络的作用机制研究未见报道。研究从TCMGeneDIT数据库系统和Agilent Literature Search(ALS)系统中，挖掘丹参，红花各自作用的蛋白质数据，构建丹参、红花、丹红注射液多成分-蛋白网络，在Genecards，BIND，BioGRID，IntAct，MINT等数据库中挖掘蛋白之间关联，建立蛋白相互作用网络。结果发现丹参中10个成分与蛋白有连接，红花中14个成分与蛋白有连接，共有的24个成分与81个蛋白有相互作用，构成无孤立结点的60个结点的蛋白相互作用网络。应用ClusterONE模块对蛋白相互作用网络富集分析，提取显著性差异P<0.05的子网络1个，子网络中含有关键蛋白23个，经KEGG信号通路映射，涉及Nod样受体信号转导通路，上皮细胞幽门螺杆菌感染的信号转导通路，Toll样受体信号转导通路，RIG-I样受体信号转导通路，神经营养因子信号转导通路共5条信号通路，关联炎症、感染性疾病、胃部疾病、心脏疾病等。研究采用计算机系统生物学方式，初步阐释了丹红注射液主要化合物防治疾病的分子机制，为中药复方的系统研究提供参考。
, http://www.100md.com
[关键词]计算机系统生物学;丹红注射液;作用机制;信号通路;网络
[收稿日期]2014-07-01
[通信作者]*肖频，副主任药师，主要从事临床药学研究，Tel：(0791)88694216，E-mail：305260242@qq.com
[作者简介]吕燕妮，主管药师，主要从事药理学研究和药物不良反应监测研究，Tel：15180155979，E-mail：lvyanni@126.comStudy on action mechanism of Danhong injection based on
computational system biology approach
LV Yan-ni1， WEI Xiao-hua1， XIAO Pin2*
, 百拇医药
(1. The First Affiliated Hospital of Nanchang University， Nanchang 330046， China;
2. Jiangxi Provincial Corps Hospital of Chinese Peoples Armed Police Forces， Nanchang 330001， China)
[Abstract]Danhong injection is a compound preparation of traditional Chinese medicine Salvia miltiorrhiza and Carthamus tinctorius， and has been widely applied in treating coronary heart diseases and ischemic encephalopathy in clinic. Despite the complexity of its chemical compounds and the diversity of targets， especially in system biology， there have not a report for its action mechanism as a whole regulatory biological network. In this study， protein data of S. miltiorrhiza and C. tinctorius were searched in TCMGeneDIT database and agilent literature search (ALS) system to establish the multi-component protein network of S. miltiorrhiza， C. tinctorius and Danhong injection. Besides， the protein interaction network was built based on the protein-protein interaction in Genecards， BIND， BioGRID， IntAct， MINT and other databases. According to the findings， 10 compounds of S. miltiorrhiza and 14 compounds of C.tinctorius were correlated with proteins. The 24 common compounds had interactions with 81 proteins， and formed a protein interaction network with 60 none-isolated nodes. The Cluster ONE module was applied to make an enrichment analysis on the protein interaction network and extract one sub-network with significant difference P<0.05. The sub-network contains 23 key proteins， which involved five signaling pathways， namely Nod-like receptor signaling pathway， epithelial cell signaling in helicobacter pylori infection， Toll-like receptor signaling pathway， RIG-I-like receptor signaling pathway and neurotrophin signaling pathway through KEGG signaling pathway mapping. In this study， the computational system biology approach was adopted to preliminarily explain the molecular mechanism of main compounds of Danhong injection in preventing and treating diseases and provide reference for systematic studies on traditional Chinese medicine compounds., http://www.100md.com(吕燕妮 魏筱华 肖频)
, http://www.100md.com
[关键词]计算机系统生物学;丹红注射液;作用机制;信号通路;网络
[收稿日期]2014-07-01
[通信作者]*肖频，副主任药师，主要从事临床药学研究，Tel：(0791)88694216，E-mail：305260242@qq.com
[作者简介]吕燕妮，主管药师，主要从事药理学研究和药物不良反应监测研究，Tel：15180155979，E-mail：lvyanni@126.comStudy on action mechanism of Danhong injection based on
computational system biology approach
LV Yan-ni1， WEI Xiao-hua1， XIAO Pin2*
, 百拇医药
(1. The First Affiliated Hospital of Nanchang University， Nanchang 330046， China;
2. Jiangxi Provincial Corps Hospital of Chinese Peoples Armed Police Forces， Nanchang 330001， China)
[Abstract]Danhong injection is a compound preparation of traditional Chinese medicine Salvia miltiorrhiza and Carthamus tinctorius， and has been widely applied in treating coronary heart diseases and ischemic encephalopathy in clinic. Despite the complexity of its chemical compounds and the diversity of targets， especially in system biology， there have not a report for its action mechanism as a whole regulatory biological network. In this study， protein data of S. miltiorrhiza and C. tinctorius were searched in TCMGeneDIT database and agilent literature search (ALS) system to establish the multi-component protein network of S. miltiorrhiza， C. tinctorius and Danhong injection. Besides， the protein interaction network was built based on the protein-protein interaction in Genecards， BIND， BioGRID， IntAct， MINT and other databases. According to the findings， 10 compounds of S. miltiorrhiza and 14 compounds of C.tinctorius were correlated with proteins. The 24 common compounds had interactions with 81 proteins， and formed a protein interaction network with 60 none-isolated nodes. The Cluster ONE module was applied to make an enrichment analysis on the protein interaction network and extract one sub-network with significant difference P<0.05. The sub-network contains 23 key proteins， which involved five signaling pathways， namely Nod-like receptor signaling pathway， epithelial cell signaling in helicobacter pylori infection， Toll-like receptor signaling pathway， RIG-I-like receptor signaling pathway and neurotrophin signaling pathway through KEGG signaling pathway mapping. In this study， the computational system biology approach was adopted to preliminarily explain the molecular mechanism of main compounds of Danhong injection in preventing and treating diseases and provide reference for systematic studies on traditional Chinese medicine compounds., http://www.100md.com(吕燕妮 魏筱华 肖频)