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New opportunities and challenges of natural products research:When target identification meets single-cell multiomics

引用

Acta Pharmaceutica Sinica B 2022年第11期12卷 4011-4039页

作者： Yuyu Zhu Zijun Ouyang Haojie Du Meijing Wang Jiaojiao Wang Haiyan Sun Lingdong Kong Qiang Xu Hongyue Ma Yang Sun College of Pharmacy Nanjing University of Chinese MedicineNanjing 210023China Institute of Marine Biomedicine School of Food and DrugShenzhen PolytechnicShenzhen 518055China State Key Laboratory of Pharmaceutical Biotechnology School of Life ScienceNanjing UniversityNanjing 210023China Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy Xuzhou Medical University Xuzhou 221004China

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 singlecell 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.

关键词： Natural products Traditional Chinese medicine Molecular mechanism inflammatorydiseases Cancer Targetidentification Single-cell multiomics Biosynthesis

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