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

The metabo-ring initiative brought together five nuclear magnetic resonance instruments (NMR) and 11 different mass spectrometers with the objective of assessing the reliability of untargeted metabolomics approaches in obtaining comparable metabolomics profiles. This was estimated by measuring the p...

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Autores principales: Martin, Jean-Charles, Maillot, Matthieu, Mazerolles, Gérard, Verdu, Alexandre, Lyan, Bernard, Migné, Carole, Defoort, Catherine, Canlet, Cecile, Junot, Christophe, Guillou, Claude, Manach, Claudine, Jabob, Daniel, Bouveresse, Delphine Jouan-Rimbaud, Paris, Estelle, Pujos-Guillot, Estelle, Jourdan, Fabien, Giacomoni, Franck, Courant, Frédérique, Favé, Gaëlle, Le Gall, Gwenaëlle, Chassaigne, Hubert, Tabet, Jean-Claude, Martin, Jean-Francois, Antignac, Jean-Philippe, Shintu, Laetitia, Defernez, Marianne, Philo, Mark, Alexandre-Gouaubau, Marie-Cécile, Amiot-Carlin, Marie-Josephe, Bossis, Mathilde, Triba, Mohamed N., Stojilkovic, Natali, Banzet, Nathalie, Molinié, Roland, Bott, Romain, Goulitquer, Sophie, Caldarelli, Stefano, Rutledge, Douglas N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475541/
https://www.ncbi.nlm.nih.gov/pubmed/26109925
http://dx.doi.org/10.1007/s11306-014-0740-0
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author Martin, Jean-Charles
Maillot, Matthieu
Mazerolles, Gérard
Verdu, Alexandre
Lyan, Bernard
Migné, Carole
Defoort, Catherine
Canlet, Cecile
Junot, Christophe
Guillou, Claude
Manach, Claudine
Jabob, Daniel
Bouveresse, Delphine Jouan-Rimbaud
Paris, Estelle
Pujos-Guillot, Estelle
Jourdan, Fabien
Giacomoni, Franck
Courant, Frédérique
Favé, Gaëlle
Le Gall, Gwenaëlle
Chassaigne, Hubert
Tabet, Jean-Claude
Martin, Jean-Francois
Antignac, Jean-Philippe
Shintu, Laetitia
Defernez, Marianne
Philo, Mark
Alexandre-Gouaubau, Marie-Cécile
Amiot-Carlin, Marie-Josephe
Bossis, Mathilde
Triba, Mohamed N.
Stojilkovic, Natali
Banzet, Nathalie
Molinié, Roland
Bott, Romain
Goulitquer, Sophie
Caldarelli, Stefano
Rutledge, Douglas N.
author_facet Martin, Jean-Charles
Maillot, Matthieu
Mazerolles, Gérard
Verdu, Alexandre
Lyan, Bernard
Migné, Carole
Defoort, Catherine
Canlet, Cecile
Junot, Christophe
Guillou, Claude
Manach, Claudine
Jabob, Daniel
Bouveresse, Delphine Jouan-Rimbaud
Paris, Estelle
Pujos-Guillot, Estelle
Jourdan, Fabien
Giacomoni, Franck
Courant, Frédérique
Favé, Gaëlle
Le Gall, Gwenaëlle
Chassaigne, Hubert
Tabet, Jean-Claude
Martin, Jean-Francois
Antignac, Jean-Philippe
Shintu, Laetitia
Defernez, Marianne
Philo, Mark
Alexandre-Gouaubau, Marie-Cécile
Amiot-Carlin, Marie-Josephe
Bossis, Mathilde
Triba, Mohamed N.
Stojilkovic, Natali
Banzet, Nathalie
Molinié, Roland
Bott, Romain
Goulitquer, Sophie
Caldarelli, Stefano
Rutledge, Douglas N.
author_sort Martin, Jean-Charles
collection PubMed
description The metabo-ring initiative brought together five nuclear magnetic resonance instruments (NMR) and 11 different mass spectrometers with the objective of assessing the reliability of untargeted metabolomics approaches in obtaining comparable metabolomics profiles. This was estimated by measuring the proportion of common spectral information extracted from the different LCMS and NMR platforms. Biological samples obtained from 2 different conditions were analysed by the partners using their own in-house protocols. Test #1 examined urine samples from adult volunteers either spiked or not spiked with 32 metabolite standards. Test #2 involved a low biological contrast situation comparing the plasma of rats fed a diet either supplemented or not with vitamin D. The spectral information from each instrument was assembled into separate statistical blocks. Correlations between blocks (e.g., instruments) were examined (RV coefficients) along with the structure of the common spectral information (common components and specific weights analysis). In addition, in Test #1, an outlier individual was blindly introduced, and its identification by the various platforms was evaluated. Despite large differences in the number of spectral features produced after post-processing and the heterogeneity of the analytical conditions and the data treatment, the spectral information both within (NMR and LCMS) and across methods (NMR vs. LCMS) was highly convergent (from 64 to 91 % on average). No effect of the LCMS instrumentation (TOF, QTOF, LTQ-Orbitrap) was noted. The outlier individual was best detected and characterised by LCMS instruments. In conclusion, untargeted metabolomics analyses report consistent information within and across instruments of various technologies, even without prior standardisation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-014-0740-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-44755412015-06-22 Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study Martin, Jean-Charles Maillot, Matthieu Mazerolles, Gérard Verdu, Alexandre Lyan, Bernard Migné, Carole Defoort, Catherine Canlet, Cecile Junot, Christophe Guillou, Claude Manach, Claudine Jabob, Daniel Bouveresse, Delphine Jouan-Rimbaud Paris, Estelle Pujos-Guillot, Estelle Jourdan, Fabien Giacomoni, Franck Courant, Frédérique Favé, Gaëlle Le Gall, Gwenaëlle Chassaigne, Hubert Tabet, Jean-Claude Martin, Jean-Francois Antignac, Jean-Philippe Shintu, Laetitia Defernez, Marianne Philo, Mark Alexandre-Gouaubau, Marie-Cécile Amiot-Carlin, Marie-Josephe Bossis, Mathilde Triba, Mohamed N. Stojilkovic, Natali Banzet, Nathalie Molinié, Roland Bott, Romain Goulitquer, Sophie Caldarelli, Stefano Rutledge, Douglas N. Metabolomics Original Article The metabo-ring initiative brought together five nuclear magnetic resonance instruments (NMR) and 11 different mass spectrometers with the objective of assessing the reliability of untargeted metabolomics approaches in obtaining comparable metabolomics profiles. This was estimated by measuring the proportion of common spectral information extracted from the different LCMS and NMR platforms. Biological samples obtained from 2 different conditions were analysed by the partners using their own in-house protocols. Test #1 examined urine samples from adult volunteers either spiked or not spiked with 32 metabolite standards. Test #2 involved a low biological contrast situation comparing the plasma of rats fed a diet either supplemented or not with vitamin D. The spectral information from each instrument was assembled into separate statistical blocks. Correlations between blocks (e.g., instruments) were examined (RV coefficients) along with the structure of the common spectral information (common components and specific weights analysis). In addition, in Test #1, an outlier individual was blindly introduced, and its identification by the various platforms was evaluated. Despite large differences in the number of spectral features produced after post-processing and the heterogeneity of the analytical conditions and the data treatment, the spectral information both within (NMR and LCMS) and across methods (NMR vs. LCMS) was highly convergent (from 64 to 91 % on average). No effect of the LCMS instrumentation (TOF, QTOF, LTQ-Orbitrap) was noted. The outlier individual was best detected and characterised by LCMS instruments. In conclusion, untargeted metabolomics analyses report consistent information within and across instruments of various technologies, even without prior standardisation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-014-0740-0) contains supplementary material, which is available to authorized users. Springer US 2014-10-14 2015 /pmc/articles/PMC4475541/ /pubmed/26109925 http://dx.doi.org/10.1007/s11306-014-0740-0 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Martin, Jean-Charles
Maillot, Matthieu
Mazerolles, Gérard
Verdu, Alexandre
Lyan, Bernard
Migné, Carole
Defoort, Catherine
Canlet, Cecile
Junot, Christophe
Guillou, Claude
Manach, Claudine
Jabob, Daniel
Bouveresse, Delphine Jouan-Rimbaud
Paris, Estelle
Pujos-Guillot, Estelle
Jourdan, Fabien
Giacomoni, Franck
Courant, Frédérique
Favé, Gaëlle
Le Gall, Gwenaëlle
Chassaigne, Hubert
Tabet, Jean-Claude
Martin, Jean-Francois
Antignac, Jean-Philippe
Shintu, Laetitia
Defernez, Marianne
Philo, Mark
Alexandre-Gouaubau, Marie-Cécile
Amiot-Carlin, Marie-Josephe
Bossis, Mathilde
Triba, Mohamed N.
Stojilkovic, Natali
Banzet, Nathalie
Molinié, Roland
Bott, Romain
Goulitquer, Sophie
Caldarelli, Stefano
Rutledge, Douglas N.
Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study
title Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study
title_full Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study
title_fullStr Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study
title_full_unstemmed Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study
title_short Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study
title_sort can we trust untargeted metabolomics? results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475541/
https://www.ncbi.nlm.nih.gov/pubmed/26109925
http://dx.doi.org/10.1007/s11306-014-0740-0
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