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代谢组学在临床和实验室胃肠肿瘤学中的应用。

Application of metabolomics in clinical and laboratory gastrointestinal oncology.

作者信息

Gao Peng, Huang Xin, Fang Xue-Yan, Zheng Hui, Cai Shu-Ling, Sun Ai-Jun, Zhao Liang, Zhang Yong

机构信息

Department ofClinical Laboratory, Dalian Sixth People's Hospital, Dalian 116031, Liaoning Province, China.

Department of Internal Medicine, Dalian Sixth People's Hospital, Dalian 116031, Liaoning Province, China.

出版信息

World J Gastrointest Oncol. 2021 Jun 15;13(6):536-549. doi: 10.4251/wjgo.v13.i6.536.

Abstract

Metabolites are versatile bioactive molecules. They are not only the substrates and/or the products of enzymatic reactions but also act as the regulators in the systemic metabolism. Metabolomics is a high-throughput analytical strategy to qualify or quantify as many metabolites as possible in the metabolomes. It is an indispensable part of systems biology. The leading techniques in this field are mainly based on mass spectrometry and nuclear magnetic resonance spectroscopy. The metabolomic analysis has gained wide use in bioscience fields. In the tumor research arena, metabolomics can be employed to identify biomarkers for prediction, diagnosis, and prognosis. Chemotherapeutic effect evaluation and personalized medicine decision-making can also benefit from metabolomic analysis of patient biofluid or biopsy samples. Many cell-level studies can help in disease exploration. In this review, the basic features and principles of varied metabolomic analysis are introduced. The value of metabolomics in clinical and laboratory gastrointestinal cancer studies is discussed, especially for mass spectrometry applications. Besides, combined use of metabolomics and other tools to solve problems in cancer practice is briefly illustrated. In summary, metabolomics paves a new way to explore cancerous diseases in the light of small molecules.

摘要

代谢物是具有多种功能的生物活性分子。它们不仅是酶促反应的底物和/或产物,还在全身代谢中充当调节因子。代谢组学是一种高通量分析策略,用于对代谢组中的尽可能多的代谢物进行定性或定量。它是系统生物学不可或缺的一部分。该领域的主要技术主要基于质谱和核磁共振光谱。代谢组学分析已在生物科学领域得到广泛应用。在肿瘤研究领域,代谢组学可用于识别预测、诊断和预后的生物标志物。化疗效果评估和个性化医疗决策也可受益于对患者生物流体或活检样本的代谢组学分析。许多细胞水平的研究有助于疾病探索。在本综述中,介绍了各种代谢组学分析的基本特征和原理。讨论了代谢组学在临床和实验室胃肠道癌研究中的价值,特别是对于质谱应用。此外,还简要说明了代谢组学与其他工具联合使用以解决癌症实践中的问题。总之,代谢组学为从小分子角度探索癌症疾病开辟了一条新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a37/8204353/a5cc1556c0da/WJGO-13-536-g001.jpg

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