Literature DB >> 25691653

A Negative Correlation Between Blood Glucose and Acetone Measured in Healthy and Type 1 Diabetes Mellitus Patient Breath.

Artur Rydosz1.   

Abstract

BACKGROUND: Exhaled acetone analysis has long been recognized as a supplementary tool for diagnosis and monitoring diabetes, especially type 1 diabetes. It is essential, therefore to determine the relationship between exhaled acetone concentration and glucose in blood. Usually, a direct linear correlation between this both compounds has been expected. However, in some cases we can observe a reverse correlation. When blood glucose was increasing, breath acetone declined.
METHODS: The breath analysis as a supplementary tool for diagnosing and monitoring diabetes makes sense only in case of utilization of portable analyzers. This need has created a market for gas sensors. However, commercially available acetone gas sensors are developed for measuring samples at several tens part per million. The exhaled acetone concentration was measured using commercial acetone gas sensor (TGS 822, 823 Figaro, Arlington Heights, IL, USA Inc) with micropreconcentrator in low temperature cofired ceramics. The reference analyzer-mass spectrometry (HPR-20 QIC, Hiden Analytical, Warrington, UK) was used.
RESULTS: Twenty-two healthy volunteers with no history of any respiratory disease participated in the research, as did 31 patients diagnosed with type 1 diabetes. Respectively, 3 healthy volunteer and 5 type 1 diabetes mellitus subjects with reverse trend were selected. The linear fitting coefficient various from 0.1139 to 0.9573. Therefore, it is necessary to determine the correlation between blood glucose concentrations and under different conditions, for example, insulin levels, as well as correlate the results with clinical tests, for example, Hb1Ac.
CONCLUSIONS: It is well known that the concentration of acetone is strongly influenced by diet, insulin treatment, and so on. Therefore, much more complex analysis with long-term measurements are required. Thus, presented results should be regarded as tentative, and validation studies with the analysis of clinical test and in a large number of patients, including control groups, need to be carried out.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  acetone sensor; breath acetone detection; micropreconcentrator; type 1 diabetes mellitus patient

Mesh:

Substances:

Year:  2015        PMID: 25691653      PMCID: PMC4525665          DOI: 10.1177/1932296815572366

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  17 in total

1.  Diagnosis of diabetes by image detection of breath using gas-sensitive LAPS.

Authors:  Q Zhang; P Wang; J Li; X Gao
Journal:  Biosens Bioelectron       Date:  2000-08       Impact factor: 10.618

Review 2.  Diagnostic potential of breath analysis--focus on volatile organic compounds.

Authors:  Wolfram Miekisch; Jochen K Schubert; Gabriele F E Noeldge-Schomburg
Journal:  Clin Chim Acta       Date:  2004-09       Impact factor: 3.786

3.  A longitudinal study of ammonia, acetone and propanol in the exhaled breath of 30 subjects using selected ion flow tube mass spectrometry, SIFT-MS.

Authors:  Claire Turner; Patrik Spanel; David Smith
Journal:  Physiol Meas       Date:  2006-02-14       Impact factor: 2.833

4.  Differences in exhaled gas profiles between patients with type 2 diabetes and healthy controls.

Authors:  M B Greiter; L Keck; T Siegmund; C Hoeschen; U Oeh; H G Paretzke
Journal:  Diabetes Technol Ther       Date:  2010-06       Impact factor: 6.118

5.  Predicting Type 2 diabetes using an electronic nose-based artificial neural network analysis.

Authors:  E I Mohamed; R Linder; G Perriello; N Di Daniele; S J Pöppl; A De Lorenzo
Journal:  Diabetes Nutr Metab       Date:  2002-08

6.  Breath acetone predicts plasma ketone bodies in children with epilepsy on a ketogenic diet.

Authors:  Kathy Musa-Veloso; Sergei S Likhodii; Exequiel Rarama; Stephanie Benoit; Yeou-Mei Christiana Liu; Dominic Chartrand; Rosalind Curtis; Lionel Carmant; Anne Lortie; Felix J E Comeau; Stephen C Cunnane
Journal:  Nutrition       Date:  2005-09-23       Impact factor: 4.008

7.  Acetone in diabetic ketoacidosis.

Authors:  M J Sulway; J M Malins
Journal:  Lancet       Date:  1970-10-10       Impact factor: 79.321

8.  Breath-acetone and blood-sugar measurements in diabetes.

Authors:  C N Tassopoulos; D Barnett; T R Fraser
Journal:  Lancet       Date:  1969-06-28       Impact factor: 79.321

9.  Mass spectrometric profile of exhaled breath--field study by PTR-MS.

Authors:  Berthold Moser; Florian Bodrogi; Guenther Eibl; Matthias Lechner; Josef Rieder; Philipp Lirk
Journal:  Respir Physiol Neurobiol       Date:  2005-02-15       Impact factor: 1.931

10.  Portable method of measuring gaseous acetone concentrations.

Authors:  Adam D Worrall; Jonathan A Bernstein; Anastasios P Angelopoulos
Journal:  Talanta       Date:  2013-03-31       Impact factor: 6.057

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Authors:  Vundrala Sumedha Reddy; Bhawana Agarwal; Zhen Ye; Chuanqi Zhang; Kallol Roy; Amutha Chinnappan; Roger J Narayan; Seeram Ramakrishna; Rituparna Ghosh
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Review 6.  Sensing Technologies for Detection of Acetone in Human Breath for Diabetes Diagnosis and Monitoring.

Authors:  Valentine Saasa; Thomas Malwela; Mervyn Beukes; Matlou Mokgotho; Chaun-Pu Liu; Bonex Mwakikunga
Journal:  Diagnostics (Basel)       Date:  2018-01-31

7.  Highly Sensitive Room-Temperature Sensor Based on Nanostructured K₂W₇O22 for Application in the Non-Invasive Diagnosis of Diabetes.

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Review 8.  Sensors for Enhanced Detection of Acetone as a Potential Tool for Noninvasive Diabetes Monitoring.

Authors:  Artur Rydosz
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Review 9.  Commercial and Scientific Solutions for Blood Glucose Monitoring-A Review.

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  9 in total

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