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The Human Urine Metabolome

Urine has long been a “favored” biofluid among metabolomics researchers. It is sterile, easy-to-obtain in large volumes, largely free from interfering proteins or lipids and chemically complex. However, this chemical complexity has also made urine a particularly difficult substrate to fully understa...

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Autores principales: Bouatra, Souhaila, Aziat, Farid, Mandal, Rupasri, Guo, An Chi, Wilson, Michael R., Knox, Craig, Bjorndahl, Trent C., Krishnamurthy, Ramanarayan, Saleem, Fozia, Liu, Philip, Dame, Zerihun T., Poelzer, Jenna, Huynh, Jessica, Yallou, Faizath S., Psychogios, Nick, Dong, Edison, Bogumil, Ralf, Roehring, Cornelia, Wishart, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3762851/
https://www.ncbi.nlm.nih.gov/pubmed/24023812
http://dx.doi.org/10.1371/journal.pone.0073076
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author Bouatra, Souhaila
Aziat, Farid
Mandal, Rupasri
Guo, An Chi
Wilson, Michael R.
Knox, Craig
Bjorndahl, Trent C.
Krishnamurthy, Ramanarayan
Saleem, Fozia
Liu, Philip
Dame, Zerihun T.
Poelzer, Jenna
Huynh, Jessica
Yallou, Faizath S.
Psychogios, Nick
Dong, Edison
Bogumil, Ralf
Roehring, Cornelia
Wishart, David S.
author_facet Bouatra, Souhaila
Aziat, Farid
Mandal, Rupasri
Guo, An Chi
Wilson, Michael R.
Knox, Craig
Bjorndahl, Trent C.
Krishnamurthy, Ramanarayan
Saleem, Fozia
Liu, Philip
Dame, Zerihun T.
Poelzer, Jenna
Huynh, Jessica
Yallou, Faizath S.
Psychogios, Nick
Dong, Edison
Bogumil, Ralf
Roehring, Cornelia
Wishart, David S.
author_sort Bouatra, Souhaila
collection PubMed
description Urine has long been a “favored” biofluid among metabolomics researchers. It is sterile, easy-to-obtain in large volumes, largely free from interfering proteins or lipids and chemically complex. However, this chemical complexity has also made urine a particularly difficult substrate to fully understand. As a biological waste material, urine typically contains metabolic breakdown products from a wide range of foods, drinks, drugs, environmental contaminants, endogenous waste metabolites and bacterial by-products. Many of these compounds are poorly characterized and poorly understood. In an effort to improve our understanding of this biofluid we have undertaken a comprehensive, quantitative, metabolome-wide characterization of human urine. This involved both computer-aided literature mining and comprehensive, quantitative experimental assessment/validation. The experimental portion employed NMR spectroscopy, gas chromatography mass spectrometry (GC-MS), direct flow injection mass spectrometry (DFI/LC-MS/MS), inductively coupled plasma mass spectrometry (ICP-MS) and high performance liquid chromatography (HPLC) experiments performed on multiple human urine samples. This multi-platform metabolomic analysis allowed us to identify 445 and quantify 378 unique urine metabolites or metabolite species. The different analytical platforms were able to identify (quantify) a total of: 209 (209) by NMR, 179 (85) by GC-MS, 127 (127) by DFI/LC-MS/MS, 40 (40) by ICP-MS and 10 (10) by HPLC. Our use of multiple metabolomics platforms and technologies allowed us to identify several previously unknown urine metabolites and to substantially enhance the level of metabolome coverage. It also allowed us to critically assess the relative strengths and weaknesses of different platforms or technologies. The literature review led to the identification and annotation of another 2206 urinary compounds and was used to help guide the subsequent experimental studies. An online database containing the complete set of 2651 confirmed human urine metabolite species, their structures (3079 in total), concentrations, related literature references and links to their known disease associations are freely available at http://www.urinemetabolome.ca.
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spelling pubmed-37628512013-09-10 The Human Urine Metabolome Bouatra, Souhaila Aziat, Farid Mandal, Rupasri Guo, An Chi Wilson, Michael R. Knox, Craig Bjorndahl, Trent C. Krishnamurthy, Ramanarayan Saleem, Fozia Liu, Philip Dame, Zerihun T. Poelzer, Jenna Huynh, Jessica Yallou, Faizath S. Psychogios, Nick Dong, Edison Bogumil, Ralf Roehring, Cornelia Wishart, David S. PLoS One Research Article Urine has long been a “favored” biofluid among metabolomics researchers. It is sterile, easy-to-obtain in large volumes, largely free from interfering proteins or lipids and chemically complex. However, this chemical complexity has also made urine a particularly difficult substrate to fully understand. As a biological waste material, urine typically contains metabolic breakdown products from a wide range of foods, drinks, drugs, environmental contaminants, endogenous waste metabolites and bacterial by-products. Many of these compounds are poorly characterized and poorly understood. In an effort to improve our understanding of this biofluid we have undertaken a comprehensive, quantitative, metabolome-wide characterization of human urine. This involved both computer-aided literature mining and comprehensive, quantitative experimental assessment/validation. The experimental portion employed NMR spectroscopy, gas chromatography mass spectrometry (GC-MS), direct flow injection mass spectrometry (DFI/LC-MS/MS), inductively coupled plasma mass spectrometry (ICP-MS) and high performance liquid chromatography (HPLC) experiments performed on multiple human urine samples. This multi-platform metabolomic analysis allowed us to identify 445 and quantify 378 unique urine metabolites or metabolite species. The different analytical platforms were able to identify (quantify) a total of: 209 (209) by NMR, 179 (85) by GC-MS, 127 (127) by DFI/LC-MS/MS, 40 (40) by ICP-MS and 10 (10) by HPLC. Our use of multiple metabolomics platforms and technologies allowed us to identify several previously unknown urine metabolites and to substantially enhance the level of metabolome coverage. It also allowed us to critically assess the relative strengths and weaknesses of different platforms or technologies. The literature review led to the identification and annotation of another 2206 urinary compounds and was used to help guide the subsequent experimental studies. An online database containing the complete set of 2651 confirmed human urine metabolite species, their structures (3079 in total), concentrations, related literature references and links to their known disease associations are freely available at http://www.urinemetabolome.ca. Public Library of Science 2013-09-04 /pmc/articles/PMC3762851/ /pubmed/24023812 http://dx.doi.org/10.1371/journal.pone.0073076 Text en © 2013 Bouatra et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bouatra, Souhaila
Aziat, Farid
Mandal, Rupasri
Guo, An Chi
Wilson, Michael R.
Knox, Craig
Bjorndahl, Trent C.
Krishnamurthy, Ramanarayan
Saleem, Fozia
Liu, Philip
Dame, Zerihun T.
Poelzer, Jenna
Huynh, Jessica
Yallou, Faizath S.
Psychogios, Nick
Dong, Edison
Bogumil, Ralf
Roehring, Cornelia
Wishart, David S.
The Human Urine Metabolome
title The Human Urine Metabolome
title_full The Human Urine Metabolome
title_fullStr The Human Urine Metabolome
title_full_unstemmed The Human Urine Metabolome
title_short The Human Urine Metabolome
title_sort human urine metabolome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3762851/
https://www.ncbi.nlm.nih.gov/pubmed/24023812
http://dx.doi.org/10.1371/journal.pone.0073076
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