代谢流分析技术及其在肿瘤代谢中的应用进展  

The technology of metabolic flux analysis and its application progress in tumor metabolism

作　　者：牛宇佳 徐同冉 林树海 NIU Yujia;XU Tongran;LIN Shuhai(State Key Laboratory of Cellular Stress Biology,School of Life Sciences,Xiamen University,Xiamen 361102,China)

机构地区：[1]厦门大学生命科学学院,细胞应激生物学国家重点实验室,福建厦门361102

出　　处：《厦门大学学报（自然科学版）》2022年第3期365-376,共12页Journal of Xiamen University：Natural Science

基　　金：国家自然科学基金重大研究计划培育项目(91957120)。

摘　　要：代谢重编程是肿瘤的一大特征.研究肿瘤代谢有助于解析肿瘤的发生机制并实现个性化治疗.近年来兴起的代谢组学技术,通过全局分析内源性小分子代谢物,表征细胞、组织和体液的代谢轮廓,从而理解生理与病理变化;但稳定同位素标记的代谢流分析技术更能体现细胞代谢网络的动态变化,反映遗传或环境因素扰动下的代谢重编程规律.代谢流分析技术不仅有助于解析代谢重编程机制,更可鉴定代谢弱点,为开发药物提供潜在靶点.本文重点阐述代谢流分析的全流程实现及其在体内外研究中的应用,以明确代谢流分析技术在肿瘤研究中的应用进展及有益价值.Metabolic reprogramming is a hallmark of tumor.The study of tumor metabolism opens a new window for understanding the mechanism of tumorigenesis and developing personalized treatment.The emerging metabolomics technology exploits global analysis of endogenous metabolites to characterize metabolic profiles in cells,tissues and biofluids,so as to understand the pathophysiological changes.However,stable isotope-based metabolic flux analysis(MFA)can better reflect the dynamic changes in cellular metabolic network and reveal the metabolic reprogramming under perturbation of genetic and/or environmental factors.The technology of MFA not only elucidates the underlying mechanisms of metabolic reprogramming,but also identifies metabolic weakness and provides potential targets for drug development.In this review,we describe the workflow of MFA as well as the application in vitro and in vivo studies,thereby clarifying the application progress and beneficial value of MFA in tumor metabolism research.

关 键 词：代谢重编程 代谢组学 稳定同位素 代谢流分析 肿瘤代谢 

分 类 号：Q5-3[生物学—生物化学]