National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Acta Pharmacol Sin. 2022 Dec;43(12):3096-3111. doi: 10.1038/s41401-022-00990-8. Epub 2022 Oct 13.
Natural products (NPs) and their structural analogs represent a major source of novel drug development for disease prevention and treatment. The development of new drugs from NPs includes two crucial aspects. One is the discovery of NPs from medicinal plants/microorganisms, and the other is the evaluation of the NPs in vivo at various physiological and pathological states. The heterogeneous spatial distribution of NPs in medicinal plants/microorganisms or in vivo can provide valuable information for drug development. However, few molecular imaging technologies can detect thousands of compounds simultaneously on a label-free basis. Over the last two decades, mass spectrometry imaging (MSI) methods have progressively improved and diversified, thereby allowing for the development of various applications of NPs in plants/microorganisms and in vivo NP research. Because MSI allows for the spatial mapping of the production and distribution of numerous molecules in situ without labeling, it provides a visualization tool for NP research. Therefore, we have focused this mini-review on summarizing the applications of MSI technology in discovering NPs from medicinal plants and evaluating NPs in preclinical studies from the perspective of new drug research and development (R&D). Additionally, we briefly reviewed the factors that should be carefully considered to obtain the desired MSI results. Finally, the future development of MSI in new drug R&D is proposed.
天然产物(NPs)及其结构类似物是疾病预防和治疗新药开发的主要来源。从 NPs 中开发新药包括两个关键方面。一是从药用植物/微生物中发现 NPs,二是在各种生理和病理状态下评估 NPs 在体内的作用。NPs 在药用植物/微生物或体内的异质空间分布可以为药物开发提供有价值的信息。然而,很少有分子成像技术可以在无标记的基础上同时检测数千种化合物。在过去的二十年中,质谱成像(MSI)方法不断改进和多样化,从而为植物/微生物和体内 NP 研究中的各种 NPs 应用的发展提供了可能。由于 MSI 允许在不进行标记的情况下对原位大量分子的产生和分布进行空间映射,因此它为 NP 研究提供了可视化工具。因此,我们专注于从新药研发(R&D)的角度,总结 MSI 技术在从药用植物中发现 NPs 和评估临床前研究中 NPs 的应用。此外,我们简要回顾了获得所需 MSI 结果时应仔细考虑的因素。最后,提出了 MSI 在新药 R&D 中的未来发展方向。