ArticleDiabetes technology & therapeutics2012
Human breath gas analysis in the screening of gestational diabetes mellitus.
Article in Diabetes technology & therapeutics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 37 citations in OpenAlex.
- Recent Accomplishments in Exhaled Breath Condensate Analysis - Molecular Aspects.Current molecular medicine · 2026Review
- Novel biomarkers of fetal and neonatal environmental exposure, effect and susceptibility.Pediatric research · 2025Review
- The State of the Art on Graphene-Based Sensors for Human Health Monitoring through Breath Biomarkers.Sensors (Basel, Switzerland) · 2023Review
- Adverse effects of gestational diabetes-related risk factors on pregnancy outcomes and intervention measures.Experimental and therapeutic medicine · 2020Article
- Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus.Journal of medical and biological engineering · 2016Review
- Breath analysis in disease diagnosis: methodological considerations and applications.Metabolites · 2014Article
- Postpartum outcomes in women with gestational diabetes and their offspring: POGO study design and first-year results.The review of diabetic studies : RDS · 2013Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe 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
methodsWe 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.
resultsStandard 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).
conclusionsNoninvasive 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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