The Human Serum Metabolome

Nikolaos Psychogios(University of Alberta), David Hau(University of Alberta), Jun Peng(University of Alberta), An Chi Guo(University of Alberta), Rupasri Mandal(University of Alberta), Souhaila Bouatra(University of Alberta), Igor Sinelnikov(University of Alberta), Ramanarayan Krishnamurthy(University of Alberta), Roman Eisner(University of Alberta), Bijaya Gautam(University of Alberta), Nelson D. Young(University of Alberta), Jianguo Xia(University of Alberta), Craig Knox(University of Alberta), Edison Dong(University of Alberta), Paul H. Huang(University of Alberta), Zsuzsanna Hollander(Prevention of Organ Failure), Theresa L. Pedersen(Agricultural Research Service), Steven R. Smith(Pennington Biomedical Research Center), Fiona Bamforth(University of Alberta), Russell Greiner(University of Alberta), Bruce M. McManus(Prevention of Organ Failure), John W. Newman(Agricultural Research Service), Theodore L. Goodfriend, David S. Wishart(University of Alberta)
PLoS ONE
February 16, 2011
10.1371/journal.pone.0016957
Cited by 1,710Open Access
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Abstract

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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