Pan Shanshan, Yin Luan, Liu Jie, Tong Jie, Wang Zichuan, Zhao Jiahui, Liu Xuesong, Chen Yong, Miao Jing, Zhou Yuan, Zeng Su, Xu Tengfei
Research Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang China.
MedComm (2020). 2024 Nov 11;5(11):e792. doi: 10.1002/mco2.792. eCollection 2024 Nov.
Identification of therapeutic targets can directly elucidate the mechanism and effect of drug therapy, which is a central step in drug development. The disconnect between protein targets and phenotypes under complex mechanisms hampers comprehensive target understanding. Metabolomics, as a systems biology tool that captures phenotypic changes induced by exogenous compounds, has emerged as a valuable approach for target identification. A comprehensive overview was provided in this review to illustrate the principles and advantages of metabolomics, delving into the application of metabolomics in target identification. This review outlines various metabolomics-based methods, such as dose-response metabolomics, stable isotope-resolved metabolomics, and multiomics, which identify key enzymes and metabolic pathways affected by exogenous substances through dose-dependent metabolite-drug interactions. Emerging techniques, including single-cell metabolomics, artificial intelligence, and mass spectrometry imaging, are also explored for their potential to enhance target discovery. The review emphasizes metabolomics' critical role in advancing our understanding of disease mechanisms and accelerating targeted drug development, while acknowledging current challenges in the field.
治疗靶点的识别能够直接阐明药物治疗的机制和效果,这是药物研发中的核心步骤。在复杂机制下,蛋白质靶点与表型之间的脱节阻碍了对靶点的全面理解。代谢组学作为一种能够捕捉外源性化合物诱导的表型变化的系统生物学工具,已成为一种有价值的靶点识别方法。本综述提供了一个全面的概述,以阐述代谢组学的原理和优势,并深入探讨代谢组学在靶点识别中的应用。本综述概述了各种基于代谢组学的方法,如剂量反应代谢组学、稳定同位素分辨代谢组学和多组学,这些方法通过剂量依赖性代谢物 - 药物相互作用来识别受外源性物质影响的关键酶和代谢途径。还探讨了新兴技术,包括单细胞代谢组学、人工智能和质谱成像在增强靶点发现方面的潜力。该综述强调了代谢组学在推进我们对疾病机制的理解和加速靶向药物研发方面的关键作用,同时也承认了该领域当前面临的挑战。