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The Human Serum Metabolome

Continuing improvements in analytical technology along with an increased interest in performing comprehensive, quantitative metabolic profiling, is leading to increased interest pressures within the metabolomics community to develop centralized metabolite reference resources for certain clinically i...

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Autores principales: Psychogios, Nikolaos, Hau, David D., Peng, Jun, Guo, An Chi, Mandal, Rupasri, Bouatra, Souhaila, Sinelnikov, Igor, Krishnamurthy, Ramanarayan, Eisner, Roman, Gautam, Bijaya, Young, Nelson, Xia, Jianguo, Knox, Craig, Dong, Edison, Huang, Paul, Hollander, Zsuzsanna, Pedersen, Theresa L., Smith, Steven R., Bamforth, Fiona, Greiner, Russ, McManus, Bruce, Newman, John W., Goodfriend, Theodore, Wishart, David S.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040193/
https://www.ncbi.nlm.nih.gov/pubmed/21359215
http://dx.doi.org/10.1371/journal.pone.0016957
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author Psychogios, Nikolaos
Hau, David D.
Peng, Jun
Guo, An Chi
Mandal, Rupasri
Bouatra, Souhaila
Sinelnikov, Igor
Krishnamurthy, Ramanarayan
Eisner, Roman
Gautam, Bijaya
Young, Nelson
Xia, Jianguo
Knox, Craig
Dong, Edison
Huang, Paul
Hollander, Zsuzsanna
Pedersen, Theresa L.
Smith, Steven R.
Bamforth, Fiona
Greiner, Russ
McManus, Bruce
Newman, John W.
Goodfriend, Theodore
Wishart, David S.
author_facet Psychogios, Nikolaos
Hau, David D.
Peng, Jun
Guo, An Chi
Mandal, Rupasri
Bouatra, Souhaila
Sinelnikov, Igor
Krishnamurthy, Ramanarayan
Eisner, Roman
Gautam, Bijaya
Young, Nelson
Xia, Jianguo
Knox, Craig
Dong, Edison
Huang, Paul
Hollander, Zsuzsanna
Pedersen, Theresa L.
Smith, Steven R.
Bamforth, Fiona
Greiner, Russ
McManus, Bruce
Newman, John W.
Goodfriend, Theodore
Wishart, David S.
author_sort Psychogios, Nikolaos
collection PubMed
description Continuing improvements in analytical technology along with an increased interest in performing comprehensive, quantitative metabolic profiling, is leading to increased interest pressures within the metabolomics community to develop centralized metabolite reference resources for certain clinically important biofluids, such as cerebrospinal fluid, urine and blood. As part of an ongoing effort to systematically characterize the human metabolome through the Human Metabolome Project, we have undertaken the task of characterizing the human serum metabolome. In doing so, we have combined targeted and non-targeted NMR, GC-MS and LC-MS methods with computer-aided literature mining to identify and quantify a comprehensive, if not absolutely complete, set of metabolites commonly detected and quantified (with today's technology) in the human serum metabolome. Our use of multiple metabolomics platforms and technologies allowed us to substantially enhance the level of metabolome coverage while critically assessing the relative strengths and weaknesses of these platforms or technologies. Tables containing the complete set of 4229 confirmed and highly probable human serum compounds, their concentrations, related literature references and links to their known disease associations are freely available at http://www.serummetabolome.ca.
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spelling pubmed-30401932011-02-25 The Human Serum Metabolome Psychogios, Nikolaos Hau, David D. Peng, Jun Guo, An Chi Mandal, Rupasri Bouatra, Souhaila Sinelnikov, Igor Krishnamurthy, Ramanarayan Eisner, Roman Gautam, Bijaya Young, Nelson Xia, Jianguo Knox, Craig Dong, Edison Huang, Paul Hollander, Zsuzsanna Pedersen, Theresa L. Smith, Steven R. Bamforth, Fiona Greiner, Russ McManus, Bruce Newman, John W. Goodfriend, Theodore Wishart, David S. PLoS One Research Article Continuing improvements in analytical technology along with an increased interest in performing comprehensive, quantitative metabolic profiling, is leading to increased interest pressures within the metabolomics community to develop centralized metabolite reference resources for certain clinically important biofluids, such as cerebrospinal fluid, urine and blood. As part of an ongoing effort to systematically characterize the human metabolome through the Human Metabolome Project, we have undertaken the task of characterizing the human serum metabolome. In doing so, we have combined targeted and non-targeted NMR, GC-MS and LC-MS methods with computer-aided literature mining to identify and quantify a comprehensive, if not absolutely complete, set of metabolites commonly detected and quantified (with today's technology) in the human serum metabolome. Our use of multiple metabolomics platforms and technologies allowed us to substantially enhance the level of metabolome coverage while critically assessing the relative strengths and weaknesses of these platforms or technologies. Tables containing the complete set of 4229 confirmed and highly probable human serum compounds, their concentrations, related literature references and links to their known disease associations are freely available at http://www.serummetabolome.ca. Public Library of Science 2011-02-16 /pmc/articles/PMC3040193/ /pubmed/21359215 http://dx.doi.org/10.1371/journal.pone.0016957 Text en Psychogios 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
Psychogios, Nikolaos
Hau, David D.
Peng, Jun
Guo, An Chi
Mandal, Rupasri
Bouatra, Souhaila
Sinelnikov, Igor
Krishnamurthy, Ramanarayan
Eisner, Roman
Gautam, Bijaya
Young, Nelson
Xia, Jianguo
Knox, Craig
Dong, Edison
Huang, Paul
Hollander, Zsuzsanna
Pedersen, Theresa L.
Smith, Steven R.
Bamforth, Fiona
Greiner, Russ
McManus, Bruce
Newman, John W.
Goodfriend, Theodore
Wishart, David S.
The Human Serum Metabolome
title The Human Serum Metabolome
title_full The Human Serum Metabolome
title_fullStr The Human Serum Metabolome
title_full_unstemmed The Human Serum Metabolome
title_short The Human Serum Metabolome
title_sort human serum metabolome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040193/
https://www.ncbi.nlm.nih.gov/pubmed/21359215
http://dx.doi.org/10.1371/journal.pone.0016957
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