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Halbritter, S. ; Fedrigo, M. ; Höllriegl, V. ; Szymczak, W. ; Maier, J.M. ; Ziegler, A.-G. ; Hummel, M.*

Human breath gas analysis in the screening of gestational diabetes mellitus.

Diabetes Technol. Ther. 14, 917-925 (2012)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Abstract Background: We present a pilot study on the feasibility of the application and advantages of online, noninvasive breath gas analysis (BGA) by proton transfer reaction quadrupole mass spectrometry for the screening of gestational diabetes mellitus (GDM) in 52 pregnant women by means of an oral glucose tolerance test (OGTT). Subjects and Methods: We collected and identified samples of end-tidal breath gas from patients during OGTT. Time evolution parameters of challenge-responsive volatile organic compounds (VOCs) in human breath gas were estimated. Multivariate analysis of variance and permutation analysis were used to assess feasibility of BGA as a diagnostic tool for GDM. Results: Standard OGTT diagnosis identified pregnant women as having GDM (n=8), impaired glucose tolerance (n=12), and normal glucose tolerance (n=32); a part of this latter group was further subdivided into a "marginal" group (n=9) because of a marginal high 1-h or 2-h OGTT value. We observed that OGTT diagnosis (four metabolic groups) could be mapped into breath gas data. The time evolution of oxidation products of glucose and lipids, acetone metabolites, and thiols in breath gas after a glucose challenge was correlated with GDM diagnosis (P=0.035). Furthermore, basal (fasting) values of dimethyl sulfide and values of methanol in breath gas were inversely correlated with phenotype characteristics such as homeostasis model assessment of insulin resistance index (R=-0.538; P=0.0002, P(corrected)=0.0034) and pregestational body mass index (R=-0.433; P=0.0013, P(corrected)=0.022). Conclusions: Noninvasive BGA in challenge response studies was successfully applied to GDM diagnosis and offered an insight into metabolic pathways involved. We propose a new approach to the identification of diagnosis thresholds for GDM screening.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter VOLATILE ORGANIC-COMPOUNDS; REACTION-MASS-SPECTROMETRY; PLASMA-GLUCOSE; EXHALED BREATH; LUNG-CANCER; PTR-MS; RAT; HYPERGLYCEMIA; METABOLISM; METHIONINE
Sprache englisch
Veröffentlichungsjahr 2012
HGF-Berichtsjahr 2012
ISSN (print) / ISBN 1520-9156
e-ISSN 1557-8593
Zeitschrift Diabetes Technology & Therapeutics
Quellenangaben Band: 14, Heft: 10, Seiten: 917-925 Artikelnummer: , Supplement: ,
Verlag Mary Ann Liebert
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Medical Radiation Physics and Diagnostics (AMSD)
Institute of Diabetes Research (IDF)
POF Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30201 - Metabolic Health
Forschungsfeld(er) Radiation Sciences
Helmholtz Diabetes Center
PSP-Element(e) G-503600-001
G-502100-001
PubMed ID 22775148
DOI 10.1089/dia.2012.0076
WOS ID WOS:000309522700012
Scopus ID 84867086252
Erfassungsdatum 2012-11-09
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