The Human Serum Metabolome

By N. Psychogios, D. Hau, Jun Peng, Anchi Guo, R. Mandal, Souhaila Bouatra, Igor Sinelnikov, Ramanarayan Krishnamurthy, Roman Eisner, Bijaya Gautam and 14 more. PLoS ONE, 2011

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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.

Subfields: Molecular Biology, Pathology and Forensic Medicine

View Paper: https://www.semanticscholar.org/paper/db1b0ffe31e2bb17d3b6c05240eb0bdc65fbb7e8

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In Molecular Biology

In Pathology and Forensic Medicine

Augustin Scalbert

Citations in the corpus

Metabolomics for Investigating Physiological and Pathophysiological Processes. (2019, background): “MS instruments are exquisitely sensitive and often require only a few microliters of fluid to perform an experiment (51, 377).”
HMDB 3.0—The Human Metabolome Database in 2013 (2012, background): “Over the past 3 years, several comprehensive studies conducted by the HMP’s metabolomic analysis team have led to the experimental validation and accurate concentration measurements of thousands of compounds in cerebrospinal fluid (16), serum (17) and urine (18).”
MetaboAnalyst 3.0—making metabolomics more meaningful (2015, methodology): “In addition, there is also an Other Utilities module currently containing a compound ID conversion tool and a specialized function for lipidomic data analysis (19).”
A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding. (2015, methodology): “A recent study [66] employed GC–MS, LC–MS and NMR for the analysis of human blood resulting in the quantification, identification and validation of more than 4000 serum and plasma metabolites, followed by an”
CD8+ T cells and fatty acids orchestrate tumor ferroptosis and immunity via ACSL4 (2022, methodology): “C16:1 isomers consist mainly of palmitoleic acid (POA), palmitelaidic acid (PEA), and sapienic acid (SAA) (Psychogios et al., 2011; Sommerfeld, 1983) (Table S2).”
A primer to nutritional metabolomics by NMR spectroscopy and chemometrics (2013, background): “Liquid chromatography–mass spectrometry (LC-MS), gas chromatography–mass spectrometry (GC-MS) and (1)H NMR spectroscopy are the most suited and commonly most used platforms for metabolomic studies (Oresic, 2009) and most interestingly they are highly complementary techniques with very little analyti”
Quantitative serum nuclear magnetic resonance metabolomics in cardiovascular epidemiology and genetics. (2015, background): “ties with a mass difference and thereby naturally leads to rich and complicated spectroscopic data.(7,47,51,52) However, analysis”