Exploration of compatibility rules and discovery of active ingredients in TCM formulas by network pharmacology

被引:3
作者
Liu, Yishu [1 ]
Li, Xue [1 ]
Chen, Chao [1 ]
Ding, Nan [1 ]
Ma, Shiyu [2 ]
Yang, Ming [1 ]
机构
[1] Shanghai Univ Tradit Chinese Med, Longhua Hosp, Shanghai 200032, Peoples R China
[2] Shanghai Jiao Tong Univ, Ruijin Hosp, Shanghai 200025, Peoples R China
基金
上海市自然科学基金;
关键词
active ingredients; compatibility rules; molecular mechanism; network analysis; network pharmacology; systems biology; target prediction; traditional chinese medicine; TRADITIONAL CHINESE MEDICINE; MOLECULAR-MECHANISM; ACUTE TOXICITY; PREDICTION; DECOCTION; STITCH; METABOLOMICS; ASSOCIATION; DATABASE; PROGRESS;
D O I
10.1016/j.chmed.2023.09.008
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Network pharmacology is an interdisciplinary field that utilizes computer science, technology, and biological networks to investigate the intricate interplay among compounds/ingredients, targets, and diseases. Within the realm of traditional Chinese medicine (TCM), network pharmacology serves as a scientific approach to elucidate the compatibility relationships and underlying mechanisms of action in TCM formulas. It facilitates the identification of potential active ingredients within these formulas, providing a comprehensive understanding of their holistic and systematic nature, which aligns with the holistic principles inherent in TCM theory. TCM formulas exhibit complexity due to their multicomponent characteristic, involving diverse targets and pathways. Consequently, investigating their material basis and mechanisms becomes challenging. Network pharmacology has emerged as a valuable approach in TCM formula research, leveraging its holistic and systematic advantages. The manuscript aims to provide an overview of the application of network pharmacology in studying TCM formula compatibility rules and explore future research directions. Specifically, we focus on how network pharmacology aids in interpreting TCM pharmacological theories and understanding formula compositions. Additionally, we elucidate the process of utilizing network pharmacology to identify active ingredients within TCM formulas. These findings not only offer novel research models and perspectives for integrating network pharmacology with TCM theory but also present new methodologies for investigating TCM formula compatibility. All in all, network pharmacology has become an indispensable and crucial tool in advancing TCM formula research. (c) 2024 Tianjin Press of Chinese Herbal Medicines. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:572 / 588
页数:17
相关论文
共 50 条
  • [21] Active ingredients screening and pharmacological mechanism research of curcumae rhizoma-sparganii rhizoma herb pair ameliorates liver fibrosis based on network pharmacology
    Hao, Min
    Yao, Zhouhui
    Zhao, Mengting
    Chen, Ziyan
    Wang, Pingping
    Sang, Xianan
    Yang, Qiao
    Wang, Kuilong
    Han, Xin
    Cao, Gang
    JOURNAL OF ETHNOPHARMACOLOGY, 2023, 305
  • [22] A Network Pharmacology Approach to Investigate the Anticancer Mechanism and Potential Active Ingredients of Rheum palmatum L. Against Lung Cancer via Induction of Apoptosis
    Zhang, Qing
    Liu, Jia
    Li, Ruolan
    Zhao, Rong
    Zhang, Mengmeng
    Wei, Shujun
    Ran, Dong
    Jin, Wei
    Wu, Chunjie
    FRONTIERS IN PHARMACOLOGY, 2020, 11
  • [23] Integrated metabolomics and network pharmacology revealed the key active ingredients for the treatment of ulcerative colitis in the Citrus reticulata 'Dahongpao' peel
    Li, Xue
    Wang, Qiaozhen
    Wang, Min
    Liu, Youping
    Chen, Lin
    Wang, Fu
    Chen, Hongping
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2024, 239
  • [24] Network pharmacology-based and molecular docking prediction of the active ingredients and mechanism of ZaoRenDiHuang capsules for application in insomnia treatment
    Jin, De
    Zhang, Jinghua
    Zhang, Yuqing
    An, Xuedong
    Zhao, Shenghui
    Duan, Liyun
    Zhang, Yuehong
    Zhen, Zhong
    Lian, Fengmei
    Tong, Xiaolin
    COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 135
  • [25] A Network Pharmacology Approach to Estimate the Active Ingredients and Potential Targets of Cuscutae semen in the Treatment of Osteoporosis
    Dai, Weiran
    Sun, Yue
    Zhong, Guoqiang
    MEDICAL SCIENCE MONITOR, 2020, 26
  • [26] Network pharmacology and molecular docking study on the active ingredients of qidengmingmu capsule for the treatment of diabetic retinopathy
    Zhang, Mingxu
    Yang, Jiawei
    Zhao, Xiulan
    Zhao, Ying
    Zhu, Siquan
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [27] Hypoglycemic effect and active ingredients screening of Isodon Japonicus based on network pharmacology and experimental validation
    Xiao, Xian
    Li, Chunyan
    Wang, Canyu
    Zhu, Huiqing
    Song, Liaofan
    Liu, Xiaolong
    Lu, Yusi
    Yang, Pengfei
    Zhang, Nan
    Xue, Jintao
    ARABIAN JOURNAL OF CHEMISTRY, 2023, 16 (10)
  • [28] Exploration of Active Ingredients, Targets, and Potential Mechanisms of Er-Miao-San in the Treatment of Colorectal Cancer Based on Network Pharmacology and Molecular Docking Technology
    Zhou, Lin
    Chu, Jinyan
    Yuan, Chenyue
    Zhao, Yong
    Yan, Yuting
    Jing, Lin
    Ren, Jianlin
    JOURNAL OF PHARMACOLOGY & PHARMACOTHERAPEUTICS, 2024, 15 (03) : 284 - 297
  • [29] Investigation of the Active Ingredients and Mechanism of Polygonum cuspidatum in Asthma Based on Network Pharmacology and Experimental Verification
    Bi, Junjie
    Lin, Yuhua
    Sun, Yipeng
    Zhang, Mengzhe
    Chen, Qingge
    Miu, Xiayi
    Tang, Lingling
    Liu, Jinjin
    Zhu, Linyun
    Ni, Zhenhua
    Wang, Xiongbiao
    DRUG DESIGN DEVELOPMENT AND THERAPY, 2021, 15 : 1075 - 1089
  • [30] Study on Differential Metabolite Active Ingredients in Maize Roots Based on Network Pharmacology and Metabolomics Analysis
    Wei, Xiaotong
    Jiao, Peng
    Jiang, Zhenzhong
    Wang, Chunlai
    Liu, Qiang
    Li, Yuexuan
    Liu, Siyan
    Guan, Shuyan
    Ma, Yiyong
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2025, 73 (11) : 6646 - 6658