Backfisch Gisela, Reder-Hilz Beate, Hoeckels-Messemer Juliane, Angstenberger Jonas, Sydor Jens, Laplanche Loic, Schulz Michael
AbbVie Deutschland GmbH Co. KG, Knollstrasse, 67061 Ludwigshafen, Germany.
Bioanalysis. 2015;7(6):671-83. doi: 10.4155/bio.14.314. Epub 2014 Dec 17.
Metabolite identification studies are very resource intensive and also are rarely performed in early discovery. Here, we report the validation of an ultraperformance liquid chromatography-high-resolution mass spectrometry (UPLC-HRMS) platform for generating high-throughput stability data with structure elucidation in a single injection.
MATERIALS & METHODS: Tandem mass spectrometry spectra were obtained for quantitative analysis using a generic information-dependent acquisition method from pooled microsomal samples incubated at low compound concentrations.
A good correlation was observed between clearance determined using UPLC-HRMS and UPLC-triple-quadrupole analysis. Structural elucidation performed with MassMetaSite™ (Molecular Discovery, Perugia, Italy) software identified 85% of the major metabolites of eight marketed drugs and over 100 internal compounds under these conditions.
For the first time, a high-throughput quantitative-qualitative workflow was established using a cocktail approach for sample analysis with UPLC-HRMS in order to enable metabolite identification in early discovery projects.
代谢物鉴定研究资源消耗巨大,且在早期发现阶段很少进行。在此,我们报告了一种超高效液相色谱-高分辨率质谱(UPLC-HRMS)平台的验证情况,该平台可通过一次进样生成具有结构解析功能的高通量稳定性数据。
使用通用的信息依赖型采集方法,从低化合物浓度孵育的微粒体混合样品中获取串联质谱光谱用于定量分析。
使用UPLC-HRMS测定的清除率与UPLC-三重四极杆分析之间观察到良好的相关性。在这些条件下,使用MassMetaSite™(意大利佩鲁贾Molecular Discovery公司)软件进行的结构解析鉴定出了8种上市药物的85%主要代谢物以及100多种内部化合物。
首次使用鸡尾酒方法建立了一种高通量定量-定性工作流程,用于UPLC-HRMS样品分析,以便在早期发现项目中进行代谢物鉴定。