Validation of a global quantitative analysis methodology of tryptophan metabolites in mice using LC-MS

作     者：Lefevre, Antoine Mavel, Sylvie Nadal-Desbarats, Lydie Galineau, Laurent Attucci, Sylvie Dufour, Diane Sokol, Harry Emond, Patrick 

作者机构：Univ Tours INSERM iBrain UMR 1253 Tours France CHRU Tours Serv Med Nucl In Vitro Tours France Sorbonne Univ Lab Biomol Ecole Normale SuperHop St AntoineLBM PSL Res UnivCNRSINSERMAP HPGastroenterol Dept 184 Rue Faubourg St Antoine F-75005 Paris France INRA UMR1319 Micalis Jouy En Josas France AgroParisTech Jouy En Josas France INSERM U1253 UFR Med Eq310 Blvd Tonnele F-37000 Tours France 

出 版 物：《TALANTA》 (塔兰塔)

年 卷 期：2019年第195卷

页      面：593-598页

核心收录：

学科分类：081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 070302[理学-分析化学] 0703[理学-化学] 

基　　金："Institut National de la Sante et de la Recherche Medicale" INSERM University of Tours European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme [ERC-2016-StG-71577] 

主　　题：Tryptophan pathway Kynurenine pathway Liver matrix Cecal and intestinal contents Validation methodology 

摘      要：In this study, we validated a method for quantifying 20 tryptophan (Trp) catabolites by liquid chromatography coupled with high resolution mass spectrometry (LC-HRMS) in 4 different matrices (urine, serum, intestinal contents and liver). The detection limit for all metabolites ranged between 0.015 and 11.25 nmol/L and the dynamic range of the calibration curves were adjusted to allow quantification of metabolites at endogenous levels. Matrix effects were evaluated using isotope labeled internal standards. Reproducibility in the 4 matrices was characterized by CV = 6.2% with an accuracy of 6.6%. Our method has been applied to the determination and quantification of 20 metabolites concentrations in 5 different mouse compartments (plus cecal contents). Our results show that our approach allows for a global exploration of the Trp metabolism by quantifying a large number of Trp metabolites, at the individual level by multi-matrix approach.