PuSH - Publikationsserver des Helmholtz Zentrums München

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)
DOI PMC
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 beta-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., Kastenmuller, G., Stuckler, F., Rist, M. J., Skurk, T., Sailer, M., Raffler, J., Romisch-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
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
5.712
1.519
213
248
Tags
Icb_metabo
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Clinical Study; Human Physiology; Nutrition; Systems Biology; Time-resolved Fingerprinting; MITOCHONDRIAL BETA-OXIDATION; MASS-SPECTROMETRY; DISEASE; BIOMARKERS; URINE
Sprache
Veröffentlichungsjahr 2012
HGF-Berichtsjahr 2012
ISSN (print) / ISBN 0892-6638
e-ISSN 1530-6860
Zeitschrift FASEB Journal
Quellenangaben Band: 26, Heft: 6, Seiten: 2607-2619 Artikelnummer: , Supplement: ,
Verlag Wiley
Verlagsort Bethesda, Md.
Begutachtungsstatus Peer reviewed
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
30201 - Metabolic Health
30202 - Environmental Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
90000 - German Center for Diabetes Research
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
Environmental Sciences
Radiation Sciences
PSP-Element(e) G-503700-001
G-505600-001
G-504500-001
G-504800-001
G-503600-001
G-501900-481
G-501900-061
PubMed ID 22426117
Scopus ID 84861790964
Erfassungsdatum 2012-03-16