基于网络药理学的黄连解毒汤治疗脑胶质细胞瘤的分子机制预测  

Prediction of Molecular Mechanisms of Huanglian Jiedu Decoction (黄连解毒汤) in the Treatment of Brain Glioma Based on Network Pharmacology

作　　者：王海燕 彭伟[2] 李思毅 杨洁[2] 李慧杰[2] WANG Hai-yan;PENG Wei;LI Si-yi;YANG Jie;LI Hui-jie(College of Traditional Chinese Medicine,Shandong University of Traditional Chinese Medicine,Ji'nan Shandong 250355,China;Affiliated Hospital of Shandong University of Traditional Chinese Medicine,Ji'nan Shandong 250014,China;Shaanxi University of Traditional Chinese Medicine,Xianyang Shaanxi 712046,China)

机构地区：[1]山东中医药大学中医学院,山东济南250355 [2]山东中医药大学附属医院,山东济南250014 [3]陕西中医药大学,陕西咸阳712046

出　　处：《中医药导报》2019年第23期20-27,共8页Guiding Journal of Traditional Chinese Medicine and Pharmacy

摘　　要：目的:采用网络药理学方法和生物信息学理论,挖掘黄连解毒汤有效成分,预测黄连解毒汤作用靶点,探求作用机制,从系统生物整体的角度为临床治疗及进一步的试验提供数据支持,并指导下一步的实验。方法:使用中药系统药理学数据库和分析平台(TCMSP)筛选黄连解毒汤有效成分群,通过构建相关网络及分析其特征明确潜在分子成分和靶点,结合疾病靶点绘制药物入血活性成分及疾病靶点PPI网络,寻找交集、发现关键靶点并进行富集分析。结果:通过TCMSP检索共发现黄连解毒汤相应成分168个,根据OB值和DL值筛选出入血活性成分60个,在此基础上获得147个预测靶点及379个关键基因;根据GO分析结果可知,黄连解毒汤作用于该疾病主要涉及细胞内通路、免疫和炎症相关通路、癌症信号通路等大量通路。结论:基于网络药理学的活性成分筛选和靶点预测具有一定的准确性,为研究黄连解毒汤多成分、多靶点与多种疾病间复杂的网络关系提供了新的研究思路。Objective: To excavate the effective components of Huanglian Jiedu Decoction in an all-round way, according to the network pharmacology method and the bioinformatics theory, in order to predict the target,explore the mechanism of action and provide data support for clinical treatment and further experiment from the point of view of system organism as a whole. Methods: We used TCMSP to screen the effective components of Huanglian Jiedu Decoction, through the construction of the related network and the analysis of the characteristics of the potential molecular components and targets, combined with the target of disease target mapping the active components of blood and disease target PPI network, to find the intersection and find the key targets. The enrichment analysis was carried out. Results: Totally 168 corresponding components of Huanglian Jiedu Decoction were found through TCMSP, and 60 blood active components were selected according to OB value and DL value. On this basis, 147 target points and 379 key genes were obtained. According to the results of GO analysis,it was found that the main agent of the disease was involved in intracellular pathway, immunity and inflammation. A large number of pathways, such as the gateway, the cancer signal pathway, etc. Conclusion: The screening of active ingredients and target prediction based on network pharmacology has certain accuracy. It provides a new way to research the complex network relationship between multi component, multi target and multiple diseases of Huanglian Jiedu Decoction.

关 键 词：网络药理学 黄连解毒汤 脑胶质细胞瘤 分子机制预测 

分 类 号：R285.5[医药卫生—中药学]