Zhu Yuyu, Ouyang Zijun, Du Haojie, Wang Meijing, Wang Jiaojiao, Sun Haiyan, Kong Lingdong, Xu Qiang, Ma Hongyue, Sun Yang
College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Institute of Marine Biomedicine, School of Food and Drug, Shenzhen Polytechnic, Shenzhen 518055, China.
Acta Pharm Sin B. 2022 Nov;12(11):4011-4039. doi: 10.1016/j.apsb.2022.08.022. Epub 2022 Aug 27.
Natural products, and especially the active ingredients found in traditional Chinese medicine (TCM), have a thousand-year-long history of clinical use and a strong theoretical basis in TCM. As such, traditional remedies provide shortcuts for the development of original new drugs in China, and increasing numbers of natural products are showing great therapeutic potential in various diseases. This paper reviews the molecular mechanisms of action of natural products from different sources used in the treatment of inflammatory diseases and cancer, introduces the methods and newly emerging technologies used to identify and validate the targets of natural active ingredients, enumerates the expansive list of TCM used to treat inflammatory diseases and cancer, and summarizes the patterns of action of emerging technologies such as single-cell multiomics, network pharmacology, and artificial intelligence in the pharmacological studies of natural products to provide insights for the development of innovative natural product-based drugs. Our hope is that we can make use of advances in target identification and single-cell multiomics to obtain a deeper understanding of actions of mechanisms of natural products that will allow innovation and revitalization of TCM and its swift industrialization and internationalization.
天然产物，尤其是中药中的活性成分，有着长达千年的临床应用历史和坚实的中医理论基础。因此，传统药物为中国原创新药的研发提供了捷径，越来越多的天然产物在各种疾病中显示出巨大的治疗潜力。本文综述了用于治疗炎症性疾病和癌症的不同来源天然产物的分子作用机制，介绍了用于鉴定和验证天然活性成分靶点的方法和新兴技术，列举了用于治疗炎症性疾病和癌症的中药清单，并总结了单细胞多组学、网络药理学和人工智能等新兴技术在天然产物药理学研究中的作用模式，为基于天然产物的创新药物研发提供思路。我们希望能够利用靶点鉴定和单细胞多组学方面的进展，更深入地了解天然产物的作用机制，从而实现中药的创新与振兴，并迅速实现其产业化和国际化。
