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Am J Physiol Endocrinol Metab (September 2, 2008). doi:10.1152/ajpendo.00486.2007
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Submitted on July 26, 2007
Accepted on August 24, 2008

Use of Labeled Oral Minimal Model to Measure Hepatic Insulin Sensitivity

Chiara Dalla Man1, Gianna Maria Toffolo1, Rita Basu2, Robert A. Rizza2, and Claudio Cobelli1*

1 Department of Information Engineering, University of Padova, Padova, Italy
2 Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, United States

* To whom correspondence should be addressed. E-mail: cobelli{at}dei.unipd.it.

The ability to accurately quantify indices of the individual role of glucose (GEL) and insulin (SIL) in the suppression of EGP would improve the understanding of liver metabolism. Measuring these indices during IVGTT by minimal modelling of tracer labeled and unlabeled glucose data is often unreliable, possibly due to an inadequate description of EGP included in the Minimal Model. Moreover, a validation of the assumptions of the Minimal Model on EGP data has never been done. Recently, Krudys et al have proposed a PK/PD Model of the EGP profile that occurs during an IVGTT, however, also this model has not been validated . The aim of this study was thus to test the Minimal Model, the PK/PD model, and six alternative EGP descriptions on recent model-independent EGP data of 20 subjects obtained with a triple-tracer meal protocol. Model performance was compared in terms of data fit, precision of the estimated parameters and physiological plausibility. Neither the PK/PD, nor the traditional Minimal Model were able to accurately describe EGP data or provide reliable estimates of the indices. In contrast, one of the new models performed best by showing a good fit and providing accurate and precise estimates of hepatic sensitivity indices: GEL=0.013 ± 0.001 dl/kg/min; SIL =5.34 ± 0.47 10-4 dl/kg/min per µU/ml (42% and 34%, respectively, of total sensitivity indices GETOTand SITOT). While this model requires further validation, it has the potential to improve our understanding of the role of the liver in pathophysiological states.







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