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Effects of diet-matrix on volatile organic compounds in breath in diet-induced obese mice.

J. Breath Res. 8:016004 (2014)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Breath gas analysis in humans proved successful in identifying disease states and assessing metabolic functions in a non-invasive way. While many studies report diagnostic capability using volatile organic compounds (VOC) in breath, the inter-individual variability even in healthy human cohorts is rather large and not completely understood in its biochemical origin. Laboratory mice are the predominant animal model system for human disorders and are analysed under highly standardized and controlled conditions. We established a novel setup to monitor VOCs as biomarkers for disease in the breath gas of non-anesthetized, non-restrained mice using a proton transfer reaction mass spectrometer with time of flight detection. In this study, we implemented breath gas analysis in a dietary intervention study in C57BL/6J mice with the aim to assess the variability in VOC signatures due to a change in the diet matrix. Mice were fed a standard laboratory chow and then exposed to four semi-purified low- or high-fat diets for four weeks. Random forest (RF++) was used to identify VOCs that specifically respond to the diet matrix change. Interestingly, we found that the change from a chow diet to semi-purified diets resulted in a considerable drop of several VOC levels. Our results suggest that the diet matrix impacts VOC signatures and the underlying metabolic functions and may be one source of variability in exhaled volatiles.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Volatile Organic Compounds ; Proton Transfer Reaction Mass Spectrometry ; Diet-induced Obesity ; High-fat Diet ; Mouse Breath; Ion Mobility Spectrometry; Flight Mass-spectrometry; Transfer Reaction-time; Exhaled Breath; Lung-cancer; Ms; Methanol; Identification; Profiles; Models
Sprache englisch
Veröffentlichungsjahr 2014
HGF-Berichtsjahr 2014
ISSN (print) / ISBN 1752-7155
e-ISSN 1752-7163
Quellenangaben Band: 8, Heft: 1, Seiten: , Artikelnummer: 016004 Supplement: ,
Verlag Institute of Physics Publishing (IOP)
Verlagsort Bristol
Begutachtungsstatus Peer reviewed
POF Topic(s) 30201 - Metabolic Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
90000 - German Center for Diabetes Research
Forschungsfeld(er) Genetics and Epidemiology
Radiation Sciences
PSP-Element(e) G-500600-001
G-503600-001
G-500600-003
G-501900-063
G-501900-066
PubMed ID 24566092
Scopus ID 84899507110
Erfassungsdatum 2014-02-27