摘要
代谢组学是肿瘤研究领域颇受关注的研究方法。其理论基础是肿瘤存在有别于正常组织的代谢特征,并且这种代谢改变与生物表型存在紧密的关联。代谢组学通过高通量的检测手段,鉴定生物样本的代谢差异并结合生物信息学分析,根据代谢物的种类或含量变化,阐明肿瘤在发生和进展过程中某些关键生化途径的重塑机制,并对其进行深刻的解析或精准的干预,以提高对肿瘤的认知和诊疗水平。文章就代谢组学在解析胶质母细胞瘤的代谢机制相关的应用进行综述,从代谢组学的角度揭示胶质母细胞瘤病理过程中某些内源性小分子代谢物的变化规律,为其临床诊断、治疗、预后和药物研发提供重要参考。
Metabonomics is a popular research method in the area of tumor research. The theoretical basis is that tumor has metabolic characteristics different from normal tissues,and this metabolic changes are closely related to biological phenotype.Metabonomics uses high-throughput detection methods to identify the metabolic differences of biological samples,and combined with bioinformatics analysis,according to the variation in type or content of metabolites,to elucidate the remodeling mechanism of some key biochemical pathways in tumorgenesis and progression. It should be deeply analyzed or precisely intervened,so as to improve our understanding of cancer and the level of diagnosis and treatment. In this paper,we focus on the application of metabonomics in mechanism analysis of glioblastoma that is a subtype with the highest malignancy of glioma,from the perspective of metabonomics,to reveal the changes of some endogenous small molecule metabolites in the pathological process of glioblastoma and to provide important reference for its clinical diagnosis,treatment,prognosis and drug development.
作者
龚俊杰
刘秀秀
王平
张璐璐
GONG Junjie;LIU Xiuxiu;WANG Ping;ZHANG Lulu(School of Pharmacy,Zhejiang University of Technology,Hangzhou 310014;School of Pharmacy,Nanjing Medical University,Nanjing,211166,China)
出处
《南京医科大学学报(自然科学版)》
CAS
CSCD
北大核心
2021年第2期296-305,共10页
Journal of Nanjing Medical University(Natural Sciences)
基金
浙江省科技计划项目国际科技合作一带一路专项项目(2017C04009)
政府间国际科技创新合作重点专项(2017YFE0130100)。
关键词
代谢组学
胶质母细胞瘤
机制解析
应用
metabonomics
glioblastoma
mechanism analysis
application