稳定同位素代谢流分析在肿瘤代谢重编程中的应用进展  

Applications of stable isotope metabolic flux analysis in tumor metabolic reprogramming

作　　者：吴倩芸 贾文芝 陈虞梅[1] 刘建军[1] Wu Qianyun;Jia Wenzhi;Chen Yumei;Liu Jianjun(Department of Nuclear Medicine,Renji Hospital,School of Medicine,Shanghai Jiao Tong University,Shanghai 200127,China)

机构地区：[1]上海交通大学医学院附属仁济医院核医学科,上海200127

出　　处：《中华核医学与分子影像杂志》2022年第9期563-567,共5页Chinese Journal of Nuclear Medicine and Molecular Imaging

基　　金：国家自然科学基金(81771858)。

摘　　要：代谢重编程是恶性肿瘤的重要标志之一,肿瘤在发生发展的不同阶段具有独特的代谢模式。稳定同位素代谢流分析技术利用稳定同位素作为示踪剂,显示代谢物在肿瘤中的流动信息,具化肿瘤代谢网络,是研究肿瘤代谢的重要工具。运用代谢流分析可以直观反映代谢物的流向,用于判断肿瘤的营养来源,寻找肿瘤的代谢负荷,发现肿瘤代谢重编程的新机制,为肿瘤的显像、诊断、治疗和评估提供理论基础。该文将对稳定同位素代谢流分析在肿瘤代谢重编程中的应用进行综述。Metabolic reprogramming is a hallmark of tumors.Tumors own unique metabolic patterns in different stages of their occurrence and development.The stable isotope metabolic flux analysis technology uses stable isotope to trace the metabolites in tumors and crystallize tumor metabolism network.Stable isotope metabolic flux analysis is a useful tool for studying tumor metabolism,which can determine the nutritional sources,find the metabolic liabilities,confirm the metabolic pattern of tumors,and discover new mechanisms of tumor metabolic reprogramming,thus providing theoretical bases for imaging,diagnosis,treatment and evaluation of tumor.This article reviews the applications of stable isotope flux analysis in tumor metabolic reprogramming.

关 键 词：代谢通量分析 同位素 代谢重编程 肿瘤 发展趋势 

分 类 号：R730.2[医药卫生—肿瘤]