文献类型：期刊文献

英文题名：Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach

作者：Zhang, Shoude[1];Shan, Lei[2];Li, Qiao[1];Wang, Xia[1];Li, Shiliang[1];Zhang, Yuan[1];Fu, Jianjun[1];Liu, Xiaofeng[1];Li, Honglin[1];Zhang, Weidong[1,2]

机构：[1]E China Univ Sci & Technol, Shanghai Key Lab New Drug Design, Sch Pharm, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China;[2]Second Mil Med Univ, Sch Pharm, Shanghai 200433, Peoples R China

年份：2014

卷号：2014

外文期刊名：EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000346292100001)】；

基金：The work was supported by the National Natural Science Foundation of China (Grants 81302651, 81230090, and 81222046), Fundamental Research Funds for the Central Universities (222201314041), the Global Research Network for Medicinal Plants (GRNMP) of King Saud University, Shanghai Leading Academic Discipline Project (B906), Key Laboratory of Drug Research for Special Environments, PLA, Shanghai Engineering Research Center for the Preparation of Bioactive Natural Products (10DZ2251300), and the Scientific Foundation of Shanghai China (12401900801, 09DZ1975700, 09DZ1971500, and 10DZ1971700).

语种：英文

摘要：During the past decades, a number of studies have demonstrated multiple beneficial health effects of green tea. Polyphenolics are the most biologically active components of green tea. Many targets can be targeted or affected by polyphenolics. In this study, we excavated all of the targets of green tea polyphenolics (GTPs) though literature mining and target calculation and analyzed the multiple pharmacology actions of green tea comprehensively through a network pharmacology approach. In the end, a total of 200 Homo sapiens targets were identified for fifteen GTPs. These targets were classified into six groups according to their related disease, which included cancer, diabetes, neurodegenerative disease, cardiovascular disease, muscular disease, and inflammation. Moreover, these targets mapped into 143 KEGG pathways, 26 of which were more enriched, as determined though pathway enrichment analysis and target-pathway network analysis. Among the identified pathways, 20 pathways were selected for analyzing the mechanisms of green tea in these diseases. Overall, this study systematically illustrated the mechanisms of the pleiotropic activity of green tea by analyzing the corresponding "drug-target-pathway-disease" interaction network.