ArticleAmerican journal of physiology. Endocrinology and metabolism2011
Noninvasive measurement of plasma glucose from exhaled breath in healthy and type 1 diabetic subjects.
Article in American journal of physiology. Endocrinology and metabolism, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.
- 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
- Electronic nose technology in bronchial asthma diagnosis and management.Multidisciplinary respiratory medicine · 2026Article
- Observational
- Exploring Salivary Metabolic Alterations in Type 2 Diabetes: Implications for Dental Caries and Potential Influences of HbA1c and Vitamin D Levels.Metabolites · 2024Article
- Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities.Biosensors · 2021Review
- UV/VisJournal of quantitative spectroscopy & radiative transfer · 2020Article
- Blood Ketone Bodies and Breath Acetone Analysis and Their Correlations in Type 2 Diabetes Mellitus.Diagnostics (Basel, Switzerland) · 2019Article
- Noninvasive glucose detection in exhaled breath condensate.Translational research : the journal of laboratory and clinical medicine · 2019Review
- Exhaled volatile substances in children suffering from type 1 diabetes mellitus: results from a cross-sectional study.Scientific reports · 2019Article
- Microcontroller Implementation of Support Vector Machine for Detecting Blood Glucose Levels Using Breath Volatile Organic Compounds.Sensors (Basel, Switzerland) · 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
- 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
- Article
- Cutting Edge Methods for Non-Invasive Disease Diagnosis Using E-Tongue and E-Nose Devices.Biosensors · 2017Review
- Exhaled breath analysis: a review of 'breath-taking' methods for off-line analysis.Metabolomics : Official journal of the Metabolomic Society · 2017Review
- Article
- Ranking of Molecular Biomarker Interaction with Targeted DNA Nucleobases via Full Atomistic Molecular Dynamics.Scientific reports · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Effective management of diabetes mellitus, affecting tens of millions of patients, requires frequent assessment of plasma glucose. Patient compliance for sufficient testing is often reduced by the unpleasantness of current methodologies, which require blood samples and often cause pain and skin callusing. We propose that the analysis of volatile organic compounds (VOCs) in exhaled breath can be used as a novel, alternative, noninvasive means to monitor glycemia in these patients. Seventeen healthy (9 females and 8 males, 28.0 ± 1.0 yr) and eight type 1 diabetic (T1DM) volunteers (5 females and 3 males, 25.8 ± 1.7 yr) were enrolled in a 240-min triphasic intravenous dextrose infusion protocol (baseline, hyperglycemia, euglycemia-hyperinsulinemia). In T1DM patients, insulin was also administered (using differing protocols on 2 repeated visits to separate the effects of insulinemia on breath composition). Exhaled breath and room air samples were collected at 12 time points, and concentrations of ~100 VOCs were determined by gas chromatography and matched with direct plasma glucose measurements. Standard least squares regression was used on several subsets of exhaled gases to generate multilinear models to predict plasma glucose for each subject. Plasma glucose estimates based on two groups of four gases each (cluster A: acetone, methyl nitrate, ethanol, and ethyl benzene; cluster B: 2-pentyl nitrate, propane, methanol, and acetone) displayed very strong correlations with glucose concentrations (0.883 and 0.869 for clusters A and B, respectively) across nearly 300 measurements. Our study demonstrates the feasibility to accurately predict glycemia through exhaled breath analysis over a broad range of clinically relevant concentrations in both healthy and T1DM subjects.
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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.