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Insulin Sensitivity and Plasma Glucose Appearance Profile by Oral Minimal Model in Normotensive and Normoglycemic Humans

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4345))

Abstract

To evaluate the whole body insulin sensitivity, S IW , and the rate of appearance, R a (t), of ingested glucose into plasma, the oral minimal model of glucose kinetics (OMM) was applied to insulinemia and glycemia data from six volunteer, normotensive and normoglycemic subjects, who underwent a 300 min oral glucose tolerance test (OGTT). Results from a full 22-sampling schedule (OGTT300/22), were compared with two reduced schedules consisting of 12 samples (OGTT300/12) and 11 samples (OGTT300/11), respectively. The three protocols yielded virtually the same values of insulin sensitivity (denoted as S 22 IW , S 12 IW and S 11 IW , respectively) with intraclass correlation coefficients being not lower than 0.74. The R a (t) profiles reproduced by the OMM after application to the OGTT300/22 and the OGTT300/12 data were practically indistinguishable, whereas the profile obtained from the OGTT300/11 was characterized by a 33% overshoot at the 30th minute, followed by a 22% undershoot at the 60th minute. Our results suggest that the reduced OGTT300/12is suitable to facilitate the assessment of insulin sensitivity and plasma glucose appearance profile in pathophysiological studies by the OMM.

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© 2006 Springer-Verlag Berlin Heidelberg

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Burattini, R., Casagrande, F., Di Nardo, F., Boemi, M., Morosini, P. (2006). Insulin Sensitivity and Plasma Glucose Appearance Profile by Oral Minimal Model in Normotensive and Normoglycemic Humans. In: Maglaveras, N., Chouvarda, I., Koutkias, V., Brause, R. (eds) Biological and Medical Data Analysis. ISBMDA 2006. Lecture Notes in Computer Science(), vol 4345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11946465_12

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  • DOI: https://doi.org/10.1007/11946465_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68063-5

  • Online ISBN: 978-3-540-68065-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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