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Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach

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 t...

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Autores principales: Zhang, Shoude, Shan, Lei, Li, Qiao, Wang, Xia, Li, Shiliang, Zhang, Yuan, Fu, Jianjun, Liu, Xiaofeng, Li, Honglin, Zhang, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267163/
https://www.ncbi.nlm.nih.gov/pubmed/25525446
http://dx.doi.org/10.1155/2014/512081
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author Zhang, Shoude
Shan, Lei
Li, Qiao
Wang, Xia
Li, Shiliang
Zhang, Yuan
Fu, Jianjun
Liu, Xiaofeng
Li, Honglin
Zhang, Weidong
author_facet Zhang, Shoude
Shan, Lei
Li, Qiao
Wang, Xia
Li, Shiliang
Zhang, Yuan
Fu, Jianjun
Liu, Xiaofeng
Li, Honglin
Zhang, Weidong
author_sort Zhang, Shoude
collection PubMed
description 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.
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spelling pubmed-42671632014-12-18 Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach Zhang, Shoude Shan, Lei Li, Qiao Wang, Xia Li, Shiliang Zhang, Yuan Fu, Jianjun Liu, Xiaofeng Li, Honglin Zhang, Weidong Evid Based Complement Alternat Med Review Article 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. Hindawi Publishing Corporation 2014 2014-11-30 /pmc/articles/PMC4267163/ /pubmed/25525446 http://dx.doi.org/10.1155/2014/512081 Text en Copyright © 2014 Shoude Zhang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Zhang, Shoude
Shan, Lei
Li, Qiao
Wang, Xia
Li, Shiliang
Zhang, Yuan
Fu, Jianjun
Liu, Xiaofeng
Li, Honglin
Zhang, Weidong
Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach
title Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach
title_full Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach
title_fullStr Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach
title_full_unstemmed Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach
title_short Systematic Analysis of the Multiple Bioactivities of Green Tea through a Network Pharmacology Approach
title_sort systematic analysis of the multiple bioactivities of green tea through a network pharmacology approach
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267163/
https://www.ncbi.nlm.nih.gov/pubmed/25525446
http://dx.doi.org/10.1155/2014/512081
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