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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

Distribution of δDOB13C‰ and 1/ISI0,120 values against HbA1c (%) in normal (NDC), pre-diabetes (PD) and type 2 diabetes (T2D).Plot represents the clear transitions of δDOB13C and 1/ISI0,120 from NDC (green) to PD (yellow) and T2D (red). Data are expressed as mean ± SD.
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f4: Distribution of δDOB13C‰ and 1/ISI0,120 values against HbA1c (%) in normal (NDC), pre-diabetes (PD) and type 2 diabetes (T2D).Plot represents the clear transitions of δDOB13C and 1/ISI0,120 from NDC (green) to PD (yellow) and T2D (red). Data are expressed as mean ± SD.

Mentions: Taken together, these findings suggest that monitoring stable 13C/12C isotopes of breath CO2 in response to glucose ingestion may be an easy and non-invasive approach to evaluate the insulin resistance in individuals. In view of the present results, we posit that the measurements of ISI0,120 index as a surrogate marker of insulin resistance and thus may distinctively track the evolution of pre-diabetes prior to the onset of T2D, as depicted in Fig. 4. The distributions of δDOB13C‰ and 1/ISI0,120 values illustrate that individuals can be classified into three distinct zones with NDC in green zone, PD (moderately insulin resistance) in yellow zone and T2D (sufficiently higher insulin resistance) in red zone.


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)

Distribution of δDOB13C‰ and 1/ISI0,120 values against HbA1c (%) in normal (NDC), pre-diabetes (PD) and type 2 diabetes (T2D).Plot represents the clear transitions of δDOB13C and 1/ISI0,120 from NDC (green) to PD (yellow) and T2D (red). Data are expressed as mean ± SD.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f4: Distribution of δDOB13C‰ and 1/ISI0,120 values against HbA1c (%) in normal (NDC), pre-diabetes (PD) and type 2 diabetes (T2D).Plot represents the clear transitions of δDOB13C and 1/ISI0,120 from NDC (green) to PD (yellow) and T2D (red). Data are expressed as mean ± SD.
Mentions: Taken together, these findings suggest that monitoring stable 13C/12C isotopes of breath CO2 in response to glucose ingestion may be an easy and non-invasive approach to evaluate the insulin resistance in individuals. In view of the present results, we posit that the measurements of ISI0,120 index as a surrogate marker of insulin resistance and thus may distinctively track the evolution of pre-diabetes prior to the onset of T2D, as depicted in Fig. 4. The distributions of δDOB13C‰ and 1/ISI0,120 values illustrate that individuals can be classified into three distinct zones with NDC in green zone, PD (moderately insulin resistance) in yellow zone and T2D (sufficiently higher insulin resistance) in red zone.

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