TY - JOUR
T1 - Systematic analysis of the multiple bioactivities of green tea through a network pharmacology approach
AU - Zhang, Shoude
AU - Shan, Lei
AU - Li, Qiao
AU - Wang, Xia
AU - Li, Shiliang
AU - Zhang, Yuan
AU - Fu, Jianjun
AU - Liu, Xiaofeng
AU - Li, Honglin
AU - Zhang, Weidong
N1 - Publisher Copyright:
Copyright © 2014 Shoude Zhang et al.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84918508066
U2 - 10.1155/2014/512081
DO - 10.1155/2014/512081
M3 - 文章
AN - SCOPUS:84918508066
SN - 1741-427X
VL - 2014
JO - Evidence-based Complementary and Alternative Medicine
JF - Evidence-based Complementary and Alternative Medicine
M1 - 512081
ER -