Yin Peiyuan, Xu Guowang
Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, 16023, Dalian, China.
Methods Mol Biol. 2017;1619:467-475. doi: 10.1007/978-1-4939-7057-5_32.
Metabolomics has been used as practical tool in the discovery of novel biomarkers in a broad area in the clinic. The analytical platforms including nuclear magnetic resonance (NMR) and mass spectrometry (MS) can cover thousands of metabolites. With the help of multivariate data analysis, many potential biomarkers can be defined in the studies. Since metabolites stand at the end point of metabolism, it remains difficult to find novel biomarkers with good diagnostic or prognostic performance. In this chapter, we will introduce a general protocol for biomarker discovery within the scope of metabolomics using MS.
代谢组学已成为临床上广泛领域中发现新型生物标志物的实用工具。包括核磁共振(NMR)和质谱(MS)在内的分析平台能够覆盖数千种代谢物。借助多变量数据分析,在研究中可以确定许多潜在的生物标志物。由于代谢物处于代谢的终点,因此仍然难以找到具有良好诊断或预后性能的新型生物标志物。在本章中,我们将介绍一种使用质谱在代谢组学范围内发现生物标志物的通用方案。