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Thomson Reuters - Prous Science
 
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Exhaled Volatile Organic Compounds: Potential Non-Invasive Markers of Plasma Glucose during an Oral Glucose Tolerance Test

Year: 2004
Abstract Number: 435-P
Authors: PIETRO GALASSETTI, DAN NEMET, CHRISTIE ROSE-GOTTRON, DAN M. COOPER, BRIAN NOVAK, SIMONE MEINARDI, DONALD BLAKE
Institutions: Irvine, CA

Results: Sophisticated analytical techniques developed in our laboratory are capable of detecting very low levels of hundreds of volatile organic componds (VOCs) in the human breath. VOC integrated profiles may reflect endogenous metabolic processes, and may potentially be used as non-invasive markers of circulating metabolites. With this novel approach we propose, for the first time, the use of exhaled ethanol and acetone to predict plasma glucose levels during an oral glucose tolerance test (OGTT).

Ten volunteers (5m/5f, age 19-36) underwent an OGTT (75 g glucose in 299 ml solution). At baseline and at time 2.5, 5, 10, 15, 20, 30, 60, 90 and 120 min blood glucose was measured and expired gases collected and later analyzed for VOCs by gas chromatography/mass spectrometry. Multiple linear regression (MLR) was performed with glucose and ethanol/acetone, the 2 gases with the highest individual correlation coefficients (r) with glucose.[figure1]Ethanol and acetone profiles correlated with glucose (avg individual r values 0.55 and 0.40, respectively); for each gas, however, in at least 2 subjects, r values were < 0.2. After MLR including both gases, the avg individual r increased to 0.70, with no value <0.41 and values >0.79 in 5/10 subjects. 9/10 OGTTs were normal. In the 1 subject with an elevated 2 hr value, the MLR r was 0.88.

In conclusion, the analysis of exhaled VOCs has significant potential as an accurate, non-invasive measure of glycemia. Study of larger, metabolically diverse populations, and possible inclusion of additional gases in MLR analysis will define the practical applicability of this technique.


Category: Clinical Therapeutics/New Technology - Glucose Monitoring and Sensing

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Abstract Image No. 1

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