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利用稳定同位素分辨代谢组学（SIRM）探索癌症代谢。

Exploring cancer metabolism using stable isotope-resolved metabolomics (SIRM).

作者信息

Bruntz Ronald C, Lane Andrew N, Higashi Richard M, Fan Teresa W-M

机构信息

Center for Environmental and Systems Biochemistry, Markey Cancer Center, Lexington, Kentucky 40506; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, Kentucky 40506.

Center for Environmental and Systems Biochemistry, Markey Cancer Center, Lexington, Kentucky 40506; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, Kentucky 40506.

出版信息

J Biol Chem. 2017 Jul 14;292(28):11601-11609. doi: 10.1074/jbc.R117.776054. Epub 2017 Jun 7.

DOI:10.1074/jbc.R117.776054
PMID:28592486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5512057/
Abstract

Metabolic reprogramming is a hallmark of cancer. The changes in metabolism are adaptive to permit proliferation, survival, and eventually metastasis in a harsh environment. Stable isotope-resolved metabolomics (SIRM) is an approach that uses advanced approaches of NMR and mass spectrometry to analyze the fate of individual atoms from stable isotope-enriched precursors to products to deduce metabolic pathways and networks. The approach can be applied to a wide range of biological systems, including human subjects. This review focuses on the applications of SIRM to cancer metabolism and its use in understanding drug actions.

摘要

代谢重编程是癌症的一个标志。代谢变化具有适应性，以允许在恶劣环境中增殖、存活并最终发生转移。稳定同位素分辨代谢组学（SIRM）是一种利用核磁共振（NMR）和质谱的先进方法，来分析从稳定同位素富集前体到产物的单个原子的去向，从而推断代谢途径和网络的方法。该方法可应用于广泛的生物系统，包括人类受试者。本综述重点关注SIRM在癌症代谢中的应用及其在理解药物作用方面的用途。

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