Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Jun;42(3):479-486.
doi: 10.19852/j.cnki.jtcm.20220408.003.

Integration strategy of network pharmacology in Traditional Chinese Medicine: a narrative review

W U Jiashuo  1 , Zhang Fangqing  1 , L I Zhuangzhuang  1 , Jin Weiyi  2 , Shi Yue  1
Affiliations
Review

Integration strategy of network pharmacology in Traditional Chinese Medicine: a narrative review

W U Jiashuo et al. J Tradit Chin Med. 2022 Jun.

Abstract

Traditional Chinese Medicine (TCM) has been extensively used as a mainstay for treating various pathologies. Combing the pharmacology and systems biology approaches, the network pharmacology (NP) approach was developed to predict the probable mechanism underlying the therapeutic effect of TCM. However, approaches solely based on NP cannot effectively elucidate the curative mechanism in a holistic and reliable manner due to limitations in NP-based methods and complexity of TCM components. Thus, integration strategies combining NP with other approaches are increasingly being used. Since the interdisciplinary research in TCM has received much attention in the advent of the big data era of which the NP-based integration strategy is broadly used, the strategy is clearly elaborated in the present review. We summarized several NP-based integration strategies and their applications in TCM studies, including multi-omics approach, gut microbiota study, chemical information analysis, data-mining, and network toxicology study.

Keywords: Chinese traditional; integration strategy; medicine; network pharmacology; review; toxicology.

PubMed Disclaimer

Figures

Figure 1
Figure 1. Integration strategy of network pharmacologyThe Venn diagram reflects the interdisciplinary approach based on network pharmacology.
See this image and copyright information in PMC

References

    1. Lin HS, Jie L, Zhang Y. Developments in cancer prevention and treatment using Traditional Chinese Medicine. Front Med 2011; 5:127-33. - PubMed
    1. Fan H, Lu F, Yang A, et al.. A review on the nonpharmacological therapy of Traditional Chinese Medicine with antihypertensive effects. Evid-based Complement Altern Med 2019; 2019:1-7. - PMC - PubMed
    1. Barnes MA, Barbara M. Complementary and alternative medicine use among adults: United States. National health statistics reports 2008; 12:1-23. - PubMed
    1. Andrew L Hopkins. Network pharmacology. Nat Biotechnol 2007; 25:1110-11. - PubMed
    1. Li S. Network systems underlying Traditional Chinese Medicine syndrome and herb formula. Curr Bioinform 2009; 4:110-20.

Substances

LinkOut - more resources