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Insulin sensitivity index (ISI0, 120) potentially linked to carbon isotopes of breath CO2 for pre-diabetes and type 2 diabetes.

Ghosh C, Mukhopadhyay P, Ghosh S, Pradhan M - Sci Rep (2015)

Bottom Line: Conversely, the strongest correlation was observed between 1/ISI0,120 and breath CO2 isotopes.Consequently, we determined several optimal diagnostic cut-off points of 1/ISI0,120 and (13)CO2/(12)CO2-isotope ratios to distinctively track the evolution of PD prior to the onset of T2D.Our findings suggest that isotopic breath CO2 is a novel method for accurate estimation of ISI0,120 and thus may open new perspectives into the isotope-specific non-invasive evaluation of insulin resistance for large-scale real-time diabetes screening purposes.

View Article: PubMed Central - PubMed

Affiliation: Department of Chemical, Biological and Macromolecular Sciences, S. N. Bose National Centre for Basic Sciences, Salt Lake, JD Block, Sector III, Kolkata-700098, India.

ABSTRACT
New strategies for an accurate and early detection of insulin resistance are important to delay or prevent the acute onset of type 2 diabetes (T2D). Currently, insulin sensitivity index (ISI0,120) is considered to be a viable invasive method of whole-body insulin resistance for use in clinical settings in comparison with other invasive sensitivity indexes like homeostasis model assessment (HOMA), and quantitative insulin sensitivity check index (QUICKI). To investigate how these sensitivity indexes link the (13)C/(12)C-carbon isotopes of exhaled breath CO2 to pre-diabetes (PD) and type 2 diabetes in response to glucose ingestion, we studied excretion dynamics of (13)C/(12)C-isotopic fractionations of breath CO2. Here, we show that (13)C/(12)C-isotope ratios of breath CO2 were well correlated with blood glucose, insulin, glycosylated-hemoglobin as well as with HOMA-IR and 1/QUICKI. Conversely, the strongest correlation was observed between 1/ISI0,120 and breath CO2 isotopes. Consequently, we determined several optimal diagnostic cut-off points of 1/ISI0,120 and (13)CO2/(12)CO2-isotope ratios to distinctively track the evolution of PD prior to the onset of T2D. Our findings suggest that isotopic breath CO2 is a novel method for accurate estimation of ISI0,120 and thus may open new perspectives into the isotope-specific non-invasive evaluation of insulin resistance for large-scale real-time diabetes screening purposes.

No MeSH data available.


Related in: MedlinePlus

Correlations of δDOB13C(‰) in breath with currently available insulin resistance assessment methods.a, HOMA-IR. b, 1/QUICKI. c, 1/ISI0,120. The data are statistically significant different (p < 0.01).
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f3: Correlations of δDOB13C(‰) in breath with currently available insulin resistance assessment methods.a, HOMA-IR. b, 1/QUICKI. c, 1/ISI0,120. The data are statistically significant different (p < 0.01).

Mentions: We further investigated the association of the δDOB13C‰ values at 120 min in breath samples with the three surrogate methods of HOMA-IR, QUICKI and ISI0,120 to measure the insulin resistance in all individuals with different metabolic states. Significant inverse correlations (p < 0.01) between breath δDOB13C‰ values and all the measured indexes were observed, as shown in Fig. 3. However, the best correlation was observed between δDOB13C‰ values and 1/ISI0,120 (r = −0.81, p < 0.001), suggesting a significant association between the results of δDOB13C‰ and ISI0,120 index.


Insulin sensitivity index (ISI0, 120) potentially linked to carbon isotopes of breath CO2 for pre-diabetes and type 2 diabetes.

Ghosh C, Mukhopadhyay P, Ghosh S, Pradhan M - Sci Rep (2015)

Correlations of δDOB13C(‰) in breath with currently available insulin resistance assessment methods.a, HOMA-IR. b, 1/QUICKI. c, 1/ISI0,120. The data are statistically significant different (p < 0.01).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4493706&req=5

f3: Correlations of δDOB13C(‰) in breath with currently available insulin resistance assessment methods.a, HOMA-IR. b, 1/QUICKI. c, 1/ISI0,120. The data are statistically significant different (p < 0.01).
Mentions: We further investigated the association of the δDOB13C‰ values at 120 min in breath samples with the three surrogate methods of HOMA-IR, QUICKI and ISI0,120 to measure the insulin resistance in all individuals with different metabolic states. Significant inverse correlations (p < 0.01) between breath δDOB13C‰ values and all the measured indexes were observed, as shown in Fig. 3. However, the best correlation was observed between δDOB13C‰ values and 1/ISI0,120 (r = −0.81, p < 0.001), suggesting a significant association between the results of δDOB13C‰ and ISI0,120 index.

Bottom Line: Conversely, the strongest correlation was observed between 1/ISI0,120 and breath CO2 isotopes.Consequently, we determined several optimal diagnostic cut-off points of 1/ISI0,120 and (13)CO2/(12)CO2-isotope ratios to distinctively track the evolution of PD prior to the onset of T2D.Our findings suggest that isotopic breath CO2 is a novel method for accurate estimation of ISI0,120 and thus may open new perspectives into the isotope-specific non-invasive evaluation of insulin resistance for large-scale real-time diabetes screening purposes.

View Article: PubMed Central - PubMed

Affiliation: Department of Chemical, Biological and Macromolecular Sciences, S. N. Bose National Centre for Basic Sciences, Salt Lake, JD Block, Sector III, Kolkata-700098, India.

ABSTRACT
New strategies for an accurate and early detection of insulin resistance are important to delay or prevent the acute onset of type 2 diabetes (T2D). Currently, insulin sensitivity index (ISI0,120) is considered to be a viable invasive method of whole-body insulin resistance for use in clinical settings in comparison with other invasive sensitivity indexes like homeostasis model assessment (HOMA), and quantitative insulin sensitivity check index (QUICKI). To investigate how these sensitivity indexes link the (13)C/(12)C-carbon isotopes of exhaled breath CO2 to pre-diabetes (PD) and type 2 diabetes in response to glucose ingestion, we studied excretion dynamics of (13)C/(12)C-isotopic fractionations of breath CO2. Here, we show that (13)C/(12)C-isotope ratios of breath CO2 were well correlated with blood glucose, insulin, glycosylated-hemoglobin as well as with HOMA-IR and 1/QUICKI. Conversely, the strongest correlation was observed between 1/ISI0,120 and breath CO2 isotopes. Consequently, we determined several optimal diagnostic cut-off points of 1/ISI0,120 and (13)CO2/(12)CO2-isotope ratios to distinctively track the evolution of PD prior to the onset of T2D. Our findings suggest that isotopic breath CO2 is a novel method for accurate estimation of ISI0,120 and thus may open new perspectives into the isotope-specific non-invasive evaluation of insulin resistance for large-scale real-time diabetes screening purposes.

No MeSH data available.


Related in: MedlinePlus