ArticleJournal of applied physiology (Bethesda, Md. : 1985)2009
Improved predictive models for plasma glucose estimation from multi-linear regression analysis of exhaled volatile organic compounds.
Article in Journal of applied physiology (Bethesda, Md. : 1985), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Glucose prediction by analysis of exhaled metabolites - a systematic review.BMC anesthesiology · 2014Pooled it
- Comprehensive Two-Dimensional Gas Chromatography-Mass Spectrometry Analysis of Exhaled Breath Compounds after Whole Grain Diets.Molecules (Basel, Switzerland) · 2021Trial
- Exhaled Aldehydes and Ketones as Biomarkers of Lung Cancer and Diabetes: Review of Sensor Technologies for Early Disease Diagnosis.Biosensors · 2025Review
- Effect of Food Intake on Exhaled Volatile Organic Compounds Profile Analyzed by an Electronic Nose.Molecules (Basel, Switzerland) · 2023Article
- Breath volatile metabolome reveals the impact of dietary fibres on the gut microbiota: Proof of concept in healthy volunteers.EBioMedicine · 2022Article
- Volatolomics in healthcare and its advanced detection technology.Nano research · 2022Review
- Lactotrehalose, an Analog of Trehalose, Increases Energy Metabolism Without Promoting Clostridioides difficile Infection in Mice.Gastroenterology · 2020Article
- Article
- Exhaled volatile substances in children suffering from type 1 diabetes mellitus: results from a cross-sectional study.Scientific reports · 2019Article
- Volatile organic compound profiles in outlet air from extracorporeal life-support devices differ from breath profiles in critically ill patients.ERJ open research · 2019Article
- Article
- ZIF Nanocrystal-Based Surface Acoustic Wave (SAW) Electronic Nose to Detect Diabetes in Human Breath.Biosensors · 2018Article
- Highly Sensitive Room-Temperature Sensor Based on Nanostructured K₂W₇OSensors (Basel, Switzerland) · 2018Article
- Sensing Technologies for Detection of Acetone in Human Breath for Diabetes Diagnosis and Monitoring.Diagnostics (Basel, Switzerland) · 2018Review
- Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath.Metabolites · 2015Review
- Monitoring states of altered carbohydrate metabolism via breath analysis: are times ripe for transition from potential to reality?Current opinion in clinical nutrition and metabolic care · 2013Review
- Gas signatures from Escherichia coli and Escherichia coli-inoculated human whole blood.Clinical and translational medicine · 2013Article
- Human breath gas analysis in the screening of gestational diabetes mellitus.Diabetes technology & therapeutics · 2012Article
- The clinical potential of exhaled breath analysis for diabetes mellitus.Diabetes research and clinical practice · 2012Review
- Noninvasive measurement of plasma triglycerides and free fatty acids from exhaled breath.Journal of diabetes science and technology · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Exhaled volatile organic compounds (VOCs) represent ideal biomarkers of endogenous metabolism and could be used to noninvasively measure circulating variables, including plasma glucose. We previously demonstrated that hyperglycemia in different metabolic settings (glucose ingestion in pediatric Type 1 diabetes) is paralleled by changes in exhaled ethanol, acetone, and methyl nitrate. In this study we integrated these gas changes along with three additional VOCs (2 forms of xylene and ethylbenzene) into multi-linear regression models to predict plasma glucose profiles in 10 healthy young adults, during the 2 h following an intravenous glucose bolus (matched samples of blood, exhaled and room air were collected at 12 separate time points). The four-gas model with highest predictive accuracy estimated plasma glucose in each subject with a mean R value of 0.91 (range 0.70-0.98); increasing the number of VOCs in the model only marginally improved predictions (average R with best 5-gas model = 0.93; with 6-gas model = 0.95). While practical development of this methodology into clinically usable devices will require optimization of predictive algorithms on large-scale populations, our data prove the feasibility and potential accuracy of breath-based glucose testing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.