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

被引:86
|
作者
Jiashuo, Wu [1 ]
Fangqing, Zhang [1 ]
Zhuangzhuang, Li [1 ]
Weiyi, Jin [2 ]
Yue, Shi [1 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Inst Med Plant Dev, Beijing 100193, Peoples R China
[2] Hebei Med Univ, Shijiazhuang 050017, Hebei, Peoples R China
关键词
network pharmacology; toxicology; medicine; Chinese traditional; integration strategy; review; SPECTRUM-EFFECT RELATIONSHIP; SYSTEMS PHARMACOLOGY; ARISTOLOCHIC ACID; METABOLOMICS; COMPONENTS; MECHANISM; FORMULA; HERB; TRANSCRIPTOMICS; DISCOVERY;
D O I
10.19852/j.cnki.jtcm.20220408.003
中图分类号
R [医药、卫生];
学科分类号
10 ;
摘要
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.
引用
收藏
页码:479 / 486
页数:8
相关论文
共 50 条
  • [1] Integration strategy of network pharmacology in Traditional Chinese Medicine: a narrative review
    WU Jiashuo
    ZHANG Fangqing
    LI Zhuangzhuang
    JIN Weiyi
    SHI Yue
    [J]. Journal of Traditional Chinese Medicine, 2022, (03) : 479 - 486
  • [2] Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment
    Zhang, Runzhi
    Zhu, Xue
    Bai, Hong
    Ning, Kang
    [J]. FRONTIERS IN PHARMACOLOGY, 2019, 10
  • [3] Network Pharmacology in Traditional Chinese Medicine
    Li, Shao
    Fan, Tai-Ping
    Jia, Wei
    Lu, Aiping
    Zhang, Weidong
    [J]. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2014, 2014
  • [4] Traditional Chinese Medicine Based on Network Pharmacology
    Tao, Weiye
    Wang, Laiyou
    Huang, Guoquan
    Luo, Man
    [J]. INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY II, PTS 1-4, 2013, 411-414 : 3141 - +
  • [5] Traditional Chinese Medicine Network Pharmacology in Cardiovascular Precision Medicine
    Gao, Li
    Cao, Min
    Li, Jia-qi
    Qin, Xue-mei
    Fang, Jian-song
    [J]. CURRENT PHARMACEUTICAL DESIGN, 2021, 27 (26) : 2925 - 2933
  • [6] Mechanisms of multi-omics and network pharmacology to explain traditional chinese medicine for vascular cognitive impairment: A narrative review
    Lv, Shi
    Wang, Qian
    Zhang, Xinlei
    Ning, Fangli
    Liu, Wenxin
    Cui, Mengmeng
    Xu, Yuzhen
    [J]. PHYTOMEDICINE, 2024, 123
  • [7] Bioinformatics Databases for Network Pharmacology Research of Traditional Chinese Medicine: a Systematic Review
    Zhang, La
    Li, Xiao-peng
    Lai, Jia-qi
    Zhang, Lei
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 1400 - 1404
  • [8] The characterization of traditional Chinese medicine natures and flavors using network pharmacology integrated strategy
    Wang, Hong
    Wei, Wenfeng
    Liu, Jing
    Zhang, Shuang
    Zhao, Yunli
    Yu, Zhiguo
    [J]. JOURNAL OF TRADITIONAL AND COMPLEMENTARY MEDICINE, 2024, 14 (03): : 343 - 349
  • [9] Network Pharmacology: A Rosetta Stone for Traditional Chinese Medicine
    Hao, Da Cheng
    Xiao, Pei Gen
    [J]. DRUG DEVELOPMENT RESEARCH, 2014, 75 (05) : 299 - 312
  • [10] Bibliometric Analysis of Network Pharmacology in Traditional Chinese Medicine
    Miao, Runpei
    Meng, Qinggang
    Wang, Chennan
    Yuan, Wenjing
    [J]. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2022, 2022