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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2013
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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. |
format | Online Article Text |
id | pubmed-3690541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
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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