Luo Ting-Ting, Lu Yuan, Yan Shi-Kai, Xiao Xue, Rong Xiang-Lu, Guo Jiao
Institute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangzhou, 510006, China.
Chin J Integr Med. 2020 Jan;26(1):72-80. doi: 10.1007/s11655-019-3064-0. Epub 2019 Apr 2.
Chinese medicine (CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemical compounds. Network pharmacology is increasingly applied in CM formula research in recent years, which is identified suitable for the study of CM formula. In this review, we summarized the methodology of network pharmacology, including network construction, network analysis and network verification. The aim of constructing a network is to achieve the interaction between the bioactive compounds and targets and the interaction between various targets, and then find out and validate the key nodes via network analysis and network verification. Besides, we reviewed the application in CM formula research, mainly including targets discovery, bioactive compounds screening, toxicity evaluation, mechanism research and quality control research. Finally, we proposed prospective in the future and limitations of network pharmacology, expecting to provide new strategy and thinking on study for CM formula.
中药通常以中药方剂的形式用于治疗疾病。由于其化学成分复杂,缺乏有效的研究方法使得难以阐明中药方剂的分子机制。近年来,网络药理学在中药方剂研究中的应用日益广泛,被认为适用于中药方剂的研究。在这篇综述中,我们总结了网络药理学的方法,包括网络构建、网络分析和网络验证。构建网络的目的是实现生物活性化合物与靶点之间的相互作用以及各种靶点之间的相互作用,然后通过网络分析和网络验证找出并验证关键节点。此外,我们回顾了其在中药方剂研究中的应用,主要包括靶点发现、生物活性化合物筛选、毒性评价、机制研究和质量控制研究。最后,我们提出了网络药理学的未来展望和局限性,期望为中药方剂的研究提供新的策略和思路。