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现代中医药:中药成分的识别、界定与应用。

Modern traditional Chinese medicine: Identifying, defining and usage of TCM components.

作者信息

Newman David J

机构信息

Newman Consulting LLC, Wayne, PA, United States.

出版信息

Adv Pharmacol. 2020;87:113-158. doi: 10.1016/bs.apha.2019.07.001. Epub 2019 Aug 24.

DOI:10.1016/bs.apha.2019.07.001
PMID:32089231
Abstract

TCM-based medications have been used for millennia in China and have always been "different" from current Western-based medicines in that they frequently are still mixtures of predominately plant products. From the early 20th Century, there has been a move to identify both the actual compounds in these mixes, and then over the past approximately 50years, to utilize early information for current diseases, with an example being artemisinin for treatment of malaria. Since that discovery, Western scientists, together with their Chinese counterparts, have begun to investigate how TCM compositions can be utilized to discover new agents, sometimes the actual TCM-based compound(s) but also by utilizing the pharmacophores from such preparations that have utility in human diseases. The examples in this review include artemisinin derivatives and their manifold bioactivities, indirubins and derivatives as antitumor agents, arsenicals predominately as treatment for leukemia, though extending into other cancer types. Finally, there are sections discussing the use of current computerized techniques that combine metabolomics, mass spectroscopy/HPLC, and network pharmacology with the aim of identifying the "active principles" in relevant TCM preparations and finally how high content screening can be utilized in conjunction with the other analytical techniques.

摘要

基于传统中医理论的药物在中国已使用了数千年,并且一直与当前基于西方医学的药物“不同”,因为它们通常仍是以植物产品为主的混合物。从20世纪初开始,人们就开始识别这些混合物中的实际化合物,然后在过去大约50年里,将早期信息应用于当前疾病的治疗,例如青蒿素用于治疗疟疾。自发现以来,西方科学家及其中国同行开始研究如何利用中药成分发现新药物,有时是实际的基于中药的化合物,也可以通过利用这些制剂中对人类疾病有用的药效基团来实现。本综述中的例子包括青蒿素衍生物及其多种生物活性、靛玉红及其衍生物作为抗肿瘤药物、砷剂主要用于治疗白血病,尽管也扩展到其他癌症类型。最后,有章节讨论了当前计算机技术的应用,这些技术结合了代谢组学、质谱/高效液相色谱和网络药理学,旨在识别相关中药制剂中的“活性成分”,以及最后如何将高内涵筛选与其他分析技术结合使用。

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