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质谱在药物代谢中的应用:50 年的进展。

Applications of mass spectrometry in drug metabolism: 50 years of progress.

机构信息

Department of Drug Metabolism and Pharmacokinetics, GlaxoSmithKline , King of Prussia , PA, USA and.

出版信息

Drug Metab Rev. 2015 Feb;47(1):71-87. doi: 10.3109/03602532.2014.1001029. Epub 2015 Feb 2.

Abstract

Mass spectrometry plays a pivotal role in drug metabolism studies, which are an integral part of drug discovery and development nowadays. Metabolite identification has become critical to understanding the metabolic fate of drug candidates and to aid lead optimization with improved metabolic stability, toxicology and efficacy profiles. Ever since the introduction of atmospheric ionization techniques in the early 1990s, liquid chromatography coupled with mass spectrometry (LC/MS) has secured a central role as the predominant analytical platform for metabolite identification as LC and MS technologies continually advanced. In this review, we discuss the evolution of both MS technology and its applications over the past 50 years to meet the increasing demand of drug metabolism studies. These advances include ionization sources, mass analyzers, a wide range of MS acquisition strategies and data mining tools that have substantially accelerated the metabolite identification process and changed the overall drug metabolism landscape. Exemplary applications for characterization and identification of both small-molecule xenobiotics and biological macromolecules are described. In addition, this review discusses novel MS technologies and applications, including xenobiotic metabolomics that hold additional promise for advancing drug metabolism research, and offers thoughts on remaining challenges in studying the metabolism and disposition of drugs and other xenobiotics.

摘要

质谱在药物代谢研究中起着关键作用,而药物代谢研究是当今药物发现和开发的一个组成部分。代谢产物鉴定对于了解候选药物的代谢命运以及通过提高代谢稳定性、毒理学和疗效特征来辅助先导化合物优化变得至关重要。自 20 世纪 90 年代初引入大气电离技术以来,液相色谱与质谱联用(LC/MS)作为代谢产物鉴定的主要分析平台,其地位得到了巩固,因为 LC 和 MS 技术不断进步。在这篇综述中,我们讨论了过去 50 年来 MS 技术及其应用的发展,以满足药物代谢研究日益增长的需求。这些进展包括离子源、质量分析器、广泛的 MS 采集策略和数据挖掘工具,这些都极大地加速了代谢产物鉴定过程,改变了整体药物代谢领域的面貌。本文描述了用于小分子外源物和生物大分子的特征描述和鉴定的应用实例。此外,本文还讨论了新兴的 MS 技术和应用,包括具有进一步推进药物代谢研究潜力的外源物代谢组学,并对研究药物和其他外源物的代谢和处置方面的遗留挑战进行了思考。

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