Literature DB >> 22304021

Intra- and interlaboratory reproducibility of ultra performance liquid chromatography-time-of-flight mass spectrometry for urinary metabolic profiling.

H Paul Benton1, Elizabeth Want, Hector C Keun, Alexander Amberg, Robert S Plumb, Francoise Goldfain-Blanc, Bernhard Walther, Michael D Reily, John C Lindon, Elaine Holmes, Jeremy K Nicholson, Timothy M D Ebbels.   

Abstract

Liquid chromatography coupled to mass spectrometry (LC-MS) is a major platform in metabolic profiling but has not yet been comprehensively assessed as to its repeatability and reproducibility across multiple spectrometers and laboratories. Here we report results of a large interlaboratory reproducibility study of ultra performance (UP) LC-MS of human urine. A total of 14 stable isotope labeled standard compounds were spiked into a pooled human urine sample, which was subject to a 2- to 16-fold dilution series and run by UPLC coupled to time-of-flight MS at three different laboratories all using the same platform. In each lab, identical samples were run in two phases, separated by at least 1 week, to assess between-day reproducibility. Overall, platform reproducibility was good with median mass accuracies below 12 ppm, median retention time drifts of less than 0.73 s and coefficients of variation of intensity of less than 18% across laboratories and ionization modes. We found that the intensity response was highly linear within each run, with a median R(2) of 0.95 and 0.93 in positive and negative ionization modes. Between-day reproducibility was also high with a mean R(2) of 0.93 for a linear relationship between the intensities of ions recorded in the two phases across the laboratories and modes. Most importantly, between-lab reproducibility was excellent with median R(2) values of 0.96 and 0.98 for positive and negative ionization modes, respectively, across all pairs of laboratories. Interestingly, the three laboratories observed different amounts of adduct formation, but this did not appear to be related to reproducibility observed in each laboratory. These studies show that UPLC-MS is fit for the purpose of targeted urinary metabolite analysis but that care must be taken to optimize laboratory systems for quantitative detection due to variable adduct formation over many compound classes.

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Year:  2012        PMID: 22304021     DOI: 10.1021/ac203200x

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

1.  Interlaboratory Reproducibility of a Targeted Metabolomics Platform for Analysis of Human Serum and Plasma.

Authors:  Alexandros P Siskos; Pooja Jain; Werner Römisch-Margl; Mark Bennett; David Achaintre; Yasmin Asad; Luke Marney; Larissa Richardson; Albert Koulman; Julian L Griffin; Florence Raynaud; Augustin Scalbert; Jerzy Adamski; Cornelia Prehn; Hector C Keun
Journal:  Anal Chem       Date:  2016-12-13       Impact factor: 6.986

2.  Interlaboratory Comparison of Untargeted Mass Spectrometry Data Uncovers Underlying Causes for Variability.

Authors:  Trevor N Clark; Joëlle Houriet; Warren S Vidar; Joshua J Kellogg; Daniel A Todd; Nadja B Cech; Roger G Linington
Journal:  J Nat Prod       Date:  2021-03-05       Impact factor: 4.050

3.  Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study.

Authors:  Jean-Charles Martin; Matthieu Maillot; Gérard Mazerolles; Alexandre Verdu; Bernard Lyan; Carole Migné; Catherine Defoort; Cecile Canlet; Christophe Junot; Claude Guillou; Claudine Manach; Daniel Jabob; Delphine Jouan-Rimbaud Bouveresse; Estelle Paris; Estelle Pujos-Guillot; Fabien Jourdan; Franck Giacomoni; Frédérique Courant; Gaëlle Favé; Gwenaëlle Le Gall; Hubert Chassaigne; Jean-Claude Tabet; Jean-Francois Martin; Jean-Philippe Antignac; Laetitia Shintu; Marianne Defernez; Mark Philo; Marie-Cécile Alexandre-Gouaubau; Marie-Josephe Amiot-Carlin; Mathilde Bossis; Mohamed N Triba; Natali Stojilkovic; Nathalie Banzet; Roland Molinié; Romain Bott; Sophie Goulitquer; Stefano Caldarelli; Douglas N Rutledge
Journal:  Metabolomics       Date:  2014-10-14       Impact factor: 4.290

Review 4.  Advances in metabolome information retrieval: turning chemistry into biology. Part I: analytical chemistry of the metabolome.

Authors:  Abdellah Tebani; Carlos Afonso; Soumeya Bekri
Journal:  J Inherit Metab Dis       Date:  2017-08-24       Impact factor: 4.982

5.  Inter-laboratory reproducibility of an untargeted metabolomics GC-MS assay for analysis of human plasma.

Authors:  Yanping Lin; Gary W Caldwell; Ying Li; Wensheng Lang; John Masucci
Journal:  Sci Rep       Date:  2020-07-02       Impact factor: 4.379

6.  Comparative Evaluation of Plasma Metabolomic Data from Multiple Laboratories.

Authors:  Shin Nishiumi; Yoshihiro Izumi; Akiyoshi Hirayama; Masatomo Takahashi; Motonao Nakao; Kosuke Hata; Daisuke Saigusa; Eiji Hishinuma; Naomi Matsukawa; Suzumi M Tokuoka; Yoshihiro Kita; Fumie Hamano; Nobuyuki Okahashi; Kazutaka Ikeda; Hiroki Nakanishi; Kosuke Saito; Masami Yokota Hirai; Masaru Yoshida; Yoshiya Oda; Fumio Matsuda; Takeshi Bamba
Journal:  Metabolites       Date:  2022-02-01

7.  Metabolomics Benefits from Orbitrap GC-MS-Comparison of Low- and High-Resolution GC-MS.

Authors:  Daniel Stettin; Remington X Poulin; Georg Pohnert
Journal:  Metabolites       Date:  2020-04-04

8.  Unveiling metabolic remodeling in mucopolysaccharidosis type III through integrative metabolomics and pathway analysis.

Authors:  Abdellah Tebani; Lenaig Abily-Donval; Isabelle Schmitz-Afonso; Bénédicte Héron; Monique Piraud; Jérôme Ausseil; Farid Zerimech; Bruno Gonzalez; Stéphane Marret; Carlos Afonso; Soumeya Bekri
Journal:  J Transl Med       Date:  2018-09-04       Impact factor: 5.531

  8 in total

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