Plumb Robert S, Stumpf Chris L, Granger Jennifer H, Castro-Perez Jose, Haselden John N, Dear Gordon J
Waters Life Sciences R&D, Milford, MA, USA.
Rapid Commun Mass Spectrom. 2003;17(23):2632-8. doi: 10.1002/rcm.1250.
The process of metabolite identification is essential to the drug discovery and development process; this is usually achieved by liquid chromatography/tandem mass spectrometry (LC/MS/MS) or a combination of liquid chromatography/mass spectrometry (LC/MS) and nuclear magnetic resonance (NMR) spectroscopy. Metabolite identification is, however, a time-consuming process requiring an experienced skilled scientist. Multivariate statistical analysis has been used in the field of metabonomics to elucidate differences in endogenous biological profiling due to a toxic effect or a disease state. In this paper we show how a combination of liquid chromatography/time-of-flight mass spectrometry (LC/TOFMS) and multivariate statistical analysis can be used to detect drug metabolites in a biological fluid with no prior knowledge of the compound administered.
代谢物鉴定过程对于药物发现和开发过程至关重要;这通常通过液相色谱/串联质谱(LC/MS/MS)或液相色谱/质谱(LC/MS)与核磁共振(NMR)光谱相结合来实现。然而,代谢物鉴定是一个耗时的过程,需要经验丰富的技术人员。多变量统计分析已用于代谢组学领域,以阐明由于毒性作用或疾病状态导致的内源性生物图谱差异。在本文中,我们展示了如何将液相色谱/飞行时间质谱(LC/TOFMS)与多变量统计分析相结合,在对所施用化合物一无所知的情况下检测生物流体中的药物代谢物。