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液相色谱/飞行时间质谱联用技术及多变量统计分析在生物体液中药物代谢物检测方面显示出应用前景。

Use of liquid chromatography/time-of-flight mass spectrometry and multivariate statistical analysis shows promise for the detection of drug metabolites in biological fluids.

作者信息

Plumb Robert S, Stumpf Chris L, Granger Jennifer H, Castro-Perez Jose, Haselden John N, Dear Gordon J

机构信息

Waters Life Sciences R&D, Milford, MA, USA.

出版信息

Rapid Commun Mass Spectrom. 2003;17(23):2632-8. doi: 10.1002/rcm.1250.

Abstract

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.

摘要

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。

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