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High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR

[Image: see text] Metabolism is essential to understand human health. To characterize human metabolism, a high-resolution read-out of the metabolic status under various physiological conditions, either in health or disease, is needed. Metabolomics offers an unprecedented approach for generating syst...

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Autores principales: Da Silva, Laeticia, Godejohann, Markus, Martin, François-Pierre J., Collino, Sebastiano, Bürkle, Alexander, Moreno-Villanueva, María, Bernhardt, Jürgen, Toussaint, Olivier, Grubeck-Loebenstein, Beatrix, Gonos, Efstathios S., Sikora, Ewa, Grune, Tilman, Breusing, Nicolle, Franceschi, Claudio, Hervonen, Antti, Spraul, Manfred, Moco, Sofia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2013
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690541/
https://www.ncbi.nlm.nih.gov/pubmed/23718684
http://dx.doi.org/10.1021/ac4004776
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author Da Silva, Laeticia
Godejohann, Markus
Martin, François-Pierre J.
Collino, Sebastiano
Bürkle, Alexander
Moreno-Villanueva, María
Bernhardt, Jürgen
Toussaint, Olivier
Grubeck-Loebenstein, Beatrix
Gonos, Efstathios S.
Sikora, Ewa
Grune, Tilman
Breusing, Nicolle
Franceschi, Claudio
Hervonen, Antti
Spraul, Manfred
Moco, Sofia
author_facet Da Silva, Laeticia
Godejohann, Markus
Martin, François-Pierre J.
Collino, Sebastiano
Bürkle, Alexander
Moreno-Villanueva, María
Bernhardt, Jürgen
Toussaint, Olivier
Grubeck-Loebenstein, Beatrix
Gonos, Efstathios S.
Sikora, Ewa
Grune, Tilman
Breusing, Nicolle
Franceschi, Claudio
Hervonen, Antti
Spraul, Manfred
Moco, Sofia
author_sort Da Silva, Laeticia
collection PubMed
description [Image: see text] Metabolism is essential to understand human health. To characterize human metabolism, a high-resolution read-out of the metabolic status under various physiological conditions, either in health or disease, is needed. Metabolomics offers an unprecedented approach for generating system-specific biochemical definitions of a human phenotype through the capture of a variety of metabolites in a single measurement. The emergence of large cohorts in clinical studies increases the demand of technologies able to analyze a large number of measurements, in an automated fashion, in the most robust way. NMR is an established metabolomics tool for obtaining metabolic phenotypes. Here, we describe the analysis of NMR-based urinary profiles for metabolic studies, challenged to a large human study (3007 samples). This method includes the acquisition of nuclear Overhauser effect spectroscopy one-dimensional and J-resolved two-dimensional (J-Res-2D) (1)H NMR spectra obtained on a 600 MHz spectrometer, equipped with a 120 μL flow probe, coupled to a flow-injection analysis system, in full automation under the control of a sampler manager. Samples were acquired at a throughput of ∼20 (or 40 when J-Res-2D is included) min/sample. The associated technical analysis error over the full series of analysis is 12%, which demonstrates the robustness of the method. With the aim to describe an overall metabolomics workflow, the quantification of 36 metabolites, mainly related to central carbon metabolism and gut microbial host cometabolism, was obtained, as well as multivariate data analysis of the full spectral profiles. The metabolic read-outs generated using our analytical workflow can therefore be considered for further pathway modeling and/or biological interpretation.
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spelling pubmed-36905412013-06-24 High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR Da Silva, Laeticia Godejohann, Markus Martin, François-Pierre J. Collino, Sebastiano Bürkle, Alexander Moreno-Villanueva, María Bernhardt, Jürgen Toussaint, Olivier Grubeck-Loebenstein, Beatrix Gonos, Efstathios S. Sikora, Ewa Grune, Tilman Breusing, Nicolle Franceschi, Claudio Hervonen, Antti Spraul, Manfred Moco, Sofia Anal Chem [Image: see text] Metabolism is essential to understand human health. To characterize human metabolism, a high-resolution read-out of the metabolic status under various physiological conditions, either in health or disease, is needed. Metabolomics offers an unprecedented approach for generating system-specific biochemical definitions of a human phenotype through the capture of a variety of metabolites in a single measurement. The emergence of large cohorts in clinical studies increases the demand of technologies able to analyze a large number of measurements, in an automated fashion, in the most robust way. NMR is an established metabolomics tool for obtaining metabolic phenotypes. Here, we describe the analysis of NMR-based urinary profiles for metabolic studies, challenged to a large human study (3007 samples). This method includes the acquisition of nuclear Overhauser effect spectroscopy one-dimensional and J-resolved two-dimensional (J-Res-2D) (1)H NMR spectra obtained on a 600 MHz spectrometer, equipped with a 120 μL flow probe, coupled to a flow-injection analysis system, in full automation under the control of a sampler manager. Samples were acquired at a throughput of ∼20 (or 40 when J-Res-2D is included) min/sample. The associated technical analysis error over the full series of analysis is 12%, which demonstrates the robustness of the method. With the aim to describe an overall metabolomics workflow, the quantification of 36 metabolites, mainly related to central carbon metabolism and gut microbial host cometabolism, was obtained, as well as multivariate data analysis of the full spectral profiles. The metabolic read-outs generated using our analytical workflow can therefore be considered for further pathway modeling and/or biological interpretation. American Chemical Society 2013-05-14 2013-06-18 /pmc/articles/PMC3690541/ /pubmed/23718684 http://dx.doi.org/10.1021/ac4004776 Text en Copyright © 2013 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html)
spellingShingle Da Silva, Laeticia
Godejohann, Markus
Martin, François-Pierre J.
Collino, Sebastiano
Bürkle, Alexander
Moreno-Villanueva, María
Bernhardt, Jürgen
Toussaint, Olivier
Grubeck-Loebenstein, Beatrix
Gonos, Efstathios S.
Sikora, Ewa
Grune, Tilman
Breusing, Nicolle
Franceschi, Claudio
Hervonen, Antti
Spraul, Manfred
Moco, Sofia
High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR
title High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR
title_full High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR
title_fullStr High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR
title_full_unstemmed High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR
title_short High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR
title_sort high-resolution quantitative metabolome analysis of urine by automated flow injection nmr
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690541/
https://www.ncbi.nlm.nih.gov/pubmed/23718684
http://dx.doi.org/10.1021/ac4004776
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