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Systematic analysis of the multiple bioactivities of green tea through a network pharmacology approach

  • Shoude Zhang
  • , Lei Shan
  • , Qiao Li
  • , Xia Wang
  • , Shiliang Li
  • , Yuan Zhang
  • , Jianjun Fu
  • , Xiaofeng Liu
  • , Honglin Li*
  • , Weidong Zhang
  • *此作品的通讯作者
  • East China University of Science and Technology
  • Naval Medical University

科研成果: 期刊稿件文章同行评审

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.

源语言英语
文章编号512081
期刊Evidence-based Complementary and Alternative Medicine
2014
DOI
出版状态已出版 - 2014
已对外发布

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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