Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan; The Integrated Center for Mass Spectrometry, Kobe University Graduate School of Medicine, Kobe, Japan; Division of Metabolomics Research, Department of Internal Medicine related, Kobe University Graduate School of Medicine, Kobe, Japan.
J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 1;966:59-69. doi: 10.1016/j.jchromb.2014.02.042. Epub 2014 Mar 1.
Improvements in analytical technologies have made it possible to rapidly determine the concentrations of thousands of metabolites in any biological sample, which has resulted in metabolome analysis being applied to various types of research, such as clinical, cell biology, and plant/food science studies. The metabolome represents all of the end products and by-products of the numerous complex metabolic pathways operating in a biological system. Thus, metabolome analysis allows one to survey the global changes in an organism's metabolic profile and gain a holistic understanding of the changes that occur in organisms during various biological processes, e.g., during disease development. In clinical metabolomic studies, there is a strong possibility that differences in the metabolic profiles of human specimens reflect disease-specific states. Recently, metabolome analysis of biofluids, e.g., blood, urine, or saliva, has been increasingly used for biomarker discovery and disease diagnosis. Mass spectrometry-based techniques have been extensively used for metabolome analysis because they exhibit high selectivity and sensitivity during the identification and quantification of metabolites. Here, we describe metabolome analysis using liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry, and capillary electrophoresis-mass spectrometry. Furthermore, the findings of studies that attempted to discover biomarkers of gastroenterological cancer are also outlined. Finally, we discuss metabolome analysis-based disease diagnosis.
分析技术的进步使得快速测定任何生物样本中数千种代谢物的浓度成为可能,这使得代谢组学分析被应用于各种类型的研究,如临床、细胞生物学和植物/食品科学研究。代谢组代表了在生物系统中运作的众多复杂代谢途径的所有终产物和副产物。因此,代谢组学分析可以检测生物体代谢谱的全局变化,并全面了解生物体在各种生物学过程中发生的变化,例如在疾病发展过程中。在临床代谢组学研究中,人类标本代谢谱的差异很有可能反映了特定疾病的状态。最近,生物体液(如血液、尿液或唾液)的代谢组分析越来越多地用于发现生物标志物和疾病诊断。基于质谱的技术已被广泛用于代谢组分析,因为它们在鉴定和定量代谢物时表现出高选择性和灵敏度。在这里,我们描述了使用液相色谱-质谱、气相色谱-质谱和毛细管电泳-质谱进行代谢组分析。此外,还概述了试图发现胃肠癌生物标志物的研究结果。最后,我们讨论了基于代谢组分析的疾病诊断。