Functional metabolomics: from biomarker discovery to metabolome reprogramming.
Functional metabolomics: from biomarker discovery to metabolome reprogramming.
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功能代谢组学：从生物标志物发现到代谢组重编程
DOI：
10.1007/s13238-015-0185-x
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发表时间：
2015-09
期刊：
影响因子：
21.1
通讯作者：
Peng XX
中科院分区：
文献类型：
--
作者：
Peng B;Li H;Peng XX
代谢组学是研究代谢过程、识别代谢特征的关键生物标志物和揭示代谢机制的有力工具，构成了发现代谢组学的内容。关键的生物标志物可用于重新编程代谢组学，从而产生有针对性的代谢策略，以科普内部和外部环境的变化，在此命名为重新编程代谢组学。不同物种间基本代谢途径和代谢组分的相似性使重编程代谢组学成为可能，当工程代谢物作为酶的底物和其他分子（包括蛋白质）的调节剂在细胞活性中发挥生物学作用时。重编程代谢组学方法可用于阐明代谢对内外环境因素变化的响应机制，并建立一个框架，以开发有针对性的工具来应对变化，如控制和/或预防病原体感染，增强宿主对病原体的免疫力。本文介绍了发现代谢组学和重编程代谢组学的研究现状和发展趋势，强调了重编程代谢组学的重要性。
Metabolomics is emerging as a powerful tool for studying metabolic processes, identifying crucial biomarkers responsible for metabolic characteristics and revealing metabolic mechanisms, which construct the content of discovery metabolomics. The crucial biomarkers can be used to reprogram a metabolome, leading to an aimed metabolic strategy to cope with alteration of internal and external environments, naming reprogramming metabolomics here. The striking feature on the similarity of the basic metabolic pathways and components among vastly different species makes the reprogramming metabolomics possible when the engineered metabolites play biological roles in cellular activity as a substrate of enzymes and a regulator to other molecules including proteins. The reprogramming metabolomics approach can be used to clarify metabolic mechanisms of responding to changed internal and external environmental factors and to establish a framework to develop targeted tools for dealing with the changes such as controlling and/or preventing infection with pathogens and enhancing host immunity against pathogens. This review introduces the current state and trends of discovery metabolomics and reprogramming metabolomics and highlights the importance of reprogramming metabolomics.