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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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. |
format | Online Article Text |
id | pubmed-4267163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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