Yoshida Masaru, Nishiumi Shin, Azuma Takeshi
Rinsho Byori. 2015 Apr;63(4):450-6.
The field of omics involves comprehensive investigations based on genomics, transcriptomics, proteomics, and metabolomics, and omics studies have developed rapidly. Metabolomics, metabolome analysis, involves technology to analyze the concentrations of low-molecular-weight metabolites comprehensively, and has recently rapidly developed along with improvements in analytical technology. Therefore, metabolome analysis is just beginning to be applied to not only food science and environmental research fields but also medical research. In the medical research field, especially, metabolome analysis plays an important role in novel disease biomarker discovery. The metabolome represents the endpoint of the omics cascade and, therefore, is considered to be closer to the phenotype. In addition, there is also a possibility that the metabolome is affected by exogenous factors such as environmental and food factors, as well as endogenous factors such as DNA/mRNA/protein. Therefore, metabolome analysis can be a useful approach for discovering effective biomarkers. Here, we explain the characteristics of metabolome analysis, and also outline metabolome analysis using a liquid chromatograph mass spectrometer (LC-MS), gas chromatograph mass spectrometer (GC-MS), capillary electrophoresis mass spectrometer (CE-MS), and matrix-assisted laser desorption ionization mass spectrometer (MALDI-MS). Then, we describe the findings of studies that used metabolome analysis in an attempt to discover biomarker candidates for pancreatic cancer, and discuss metabolome analysis-based disease diagnosis.
组学领域涉及基于基因组学、转录组学、蛋白质组学和代谢组学的全面研究,并且组学研究发展迅速。代谢组学,即代谢组分析,涉及全面分析低分子量代谢物浓度的技术,并且随着分析技术的改进,最近发展迅速。因此,代谢组分析不仅刚刚开始应用于食品科学和环境研究领域,也开始应用于医学研究。特别是在医学研究领域,代谢组分析在新型疾病生物标志物的发现中发挥着重要作用。代谢组代表了组学级联的终点,因此被认为更接近表型。此外,代谢组还有可能受到环境和食物因素等外源性因素以及DNA/mRNA/蛋白质等内源性因素的影响。因此,代谢组分析可能是发现有效生物标志物的一种有用方法。在此,我们解释代谢组分析的特点,并概述使用液相色谱 - 质谱仪(LC-MS)、气相色谱 - 质谱仪(GC-MS)、毛细管电泳 - 质谱仪(CE-MS)和基质辅助激光解吸电离质谱仪(MALDI-MS)进行的代谢组分析。然后,我们描述了使用代谢组分析试图发现胰腺癌生物标志物候选物的研究结果,并讨论基于代谢组分析的疾病诊断。