Cited by 327Metabolomics and Mass Spectrometry StudiesHealth, Environment, Cognitive AgingMetabolism and Genetic Disorders

The dynamic range of the human metabolome revealed by challenges

Krug, Susanne, Kastenmüller, Gabi, Stückler, Ferdinand, Rist, Manuela J., Skurk, Thomas, Sailer, Manuela, Raffler, Johannes, Römisch‐Margl, Werner +18 more·2012·The FASEB Journal

Abstract

Metabolic challenge protocols, such as the oral glucose tolerance test, can uncover early alterations in metabolism preceding chronic diseases. Nevertheless, most metabolomics data accessible today reflect the fasting state. To analyze the dynamics of the human metabolome in response to environmental stimuli, we submitted 15 young healthy male volunteers to a highly controlled 4 d challenge protocol, including 36 h fasting, oral glucose and lipid tests, liquid test meals, physical exercise, and cold stress. Blood, urine, exhaled air, and breath condensate samples were analyzed on up to 56 time points by MS‐and NMR‐based methods, yielding 275 metabolic traits with a focus on lipids and amino acids. Here, we show that physiological challenges increased interindividual variation even in phenotypically similar volunteers, revealing metabotypes not observable in baseline metabolite profiles; volunteer‐specific metabolite concentrations were consistently reflected in various biofluids; and readouts from a systematic model of β‐oxidation (e.g. , acetylcarnitine/palmitylcarnitine ratio) showed significant and stronger associations with physiological parameters (e.g. , fat mass) than absolute metabolite concentrations, indicating that systematic models may aid in understanding individual challenge responses. Due to the multitude of analytical methods, challenges and sample types, our freely available metabolomics data set provides a unique reference for future metabolomics studies and for verification of systems biology models.—Krug, S., Kastenmüller, G., Stückler, F., Rist, M. J., Skurk, T., Sailer, M., Raffler, J., Römisch‐Margl, W., Adamski, J., Prehn, C., Frank, T., Engel, K‐H., Hofmann, T., Luy, B., Zimmermann, R., Moritz, F., Schmitt‐Kopplin, P., Krumsiek, J., Kremer, W., Huber, F., Oeh, U., Theis, F. J., Szymczak, W., Hauner, H., Suhre, K., Daniel, H. The dynamic range of the human metabolome revealed by challenges. FASEB J. 26, 2607‐2619 (2012). www.fasebj.org

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Crossref · 10.1096/fj.11-198093

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Authors
Krug, S., Kastenmüller, G., Stückler, F., Rist, M. J., Skurk, T., Sailer, M., Raffler, J., Römisch‐Margl, W., Adamski, J., Prehn, C., Frank, T., Engel, K., Hofmann, T., Luy, B., Zimmermann, R., Moritz, F., Schmitt‐Kopplin, P., Krumsiek, J., Kremer, W., Huber, F., Oeh, U., Theis, F. J., Szymczak, W., Hauner, H., Suhre, K., & Daniel, H.
Affiliations
  • Technical University of Munich (DE)
  • Helmholtz Munich (DE)
  • Department of General Food Technology Technische Universität München Freising‐Weihenstephan Germany
  • Department of Food Chemistry and Molecular Sensory Science Technische Universität München Freising‐Weihenstephan Germany
  • Karlsruhe Institute of Technology (DE)
  • University of Regensburg (DE)
  • LipoFIT Analytic GmbH Regensburg Germany
  • TUM Klinikum (DE)
Corresponding author
Skurk, Thomas
Venue
The FASEB Journal
Publisher
Wiley
Published
2012-03-16
Volume
26
Issue
6
Pages
2607-2619
ISSN
  • 0892-6638 (ISSN-L)
  • 1530-6860
OpenAlex
W2096486669
Cited by
327
References
29
Citations by year
2026: 8 · 2025: 10 · 2024: 19 · 2023: 11 · 2022: 22 · 2021: 21 · 2020: 36 · 2019: 13 · 2018: 25 · 2017: 29 · 2016: 27 · 2015: 30 · 2014: 34 · 2013: 35 · 2012: 7
FWCI
13.62
Type
journal article
Language
en
Open access
closed
Locations
  • The FASEB Journal (publishedVersion)
  • PubMed (publishedVersion)
  • University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
  • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
  • Site cant be reached (submittedVersion)
Funders
Studienstiftung des Deutschen Volkes
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
Keywords
fasting, oral glucose tolerance test, physical activity, cold stress, metabolic phenotypes, fatty acid beta-oxidation, fat mass, lipids, amino acids, exhaled breath condensate, urinary metabolites, blood metabolites, systems biology models
MeSH terms
Adult, Breath Tests, Carnitine, Cold Temperature, Fasting, Fatty Acids, Glucose Tolerance Test, Humans, Lipids, Male, Models, Biological, Magnetic Resonance Spectroscopy, Oxidation-Reduction, Stress, Physiological, Exercise, Lipid Metabolism, Metabolomics, Metabolome

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