Literature DB >> 18765681

Use of labeled oral minimal model to measure hepatic insulin sensitivity.

Chiara Dalla Man1, Gianna Toffolo, Rita Basu, Robert A Rizza, Claudio Cobelli.   

Abstract

The ability to accurately quantify indexes of the individual role of glucose (GE(L)) and insulin (S(I)(L)) in the suppression of endogenous glucose production (EGP) would improve the understanding of liver metabolism. Measuring these indexes during an IVGTT by minimal modeling 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. (Krudys KM, Dodds MG, Nissen SM, Vicini P. Am J Physiol Endocrinol Metab 288: E1038-E1046, 2005) have proposed a PK/PD (pharmacokinetic/pharmacodynamic) model of the EGP profile that occurs during an intravenous glucose tolerance test (IVGTT); however, this model has also 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 indexes. In contrast, one of the new models performed best by showing a good fit and providing accurate and precise estimates of hepatic sensitivity indexes: GE(L) = 0.013 +/- 0.001 dl x kg(-1) x min(-1); S(I)(L) = 5.34 +/- 0.47 10(-4) dl x kg(-1) x min(-1) per microU/ml (42 and 34%, respectively, of total sensitivity indexes GE(TOT) and S(I)(TOT)). Although 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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Year:  2008        PMID: 18765681      PMCID: PMC2584819          DOI: 10.1152/ajpendo.00486.2007

Source DB:  PubMed          Journal:  Am J Physiol Endocrinol Metab        ISSN: 0193-1849            Impact factor:   4.310


  18 in total

1.  Oral glucose tolerance test minimal model indexes of beta-cell function and insulin sensitivity.

Authors:  E Breda; M K Cavaghan; G Toffolo; K S Polonsky; C Cobelli
Journal:  Diabetes       Date:  2001-01       Impact factor: 9.461

2.  Use of a novel triple-tracer approach to assess postprandial glucose metabolism.

Authors:  Rita Basu; Barbara Di Camillo; Gianna Toffolo; Ananda Basu; Pankaj Shah; Adrian Vella; Robert Rizza; Claudio Cobelli
Journal:  Am J Physiol Endocrinol Metab       Date:  2003-01       Impact factor: 4.310

3.  Muscle and liver insulin resistance indexes derived from the oral glucose tolerance test.

Authors:  Muhammad A Abdul-Ghani; Masafumi Matsuda; Bogdan Balas; Ralph A DeFronzo
Journal:  Diabetes Care       Date:  2007-01       Impact factor: 19.112

4.  SAAM II: Simulation, Analysis, and Modeling Software for tracer and pharmacokinetic studies.

Authors:  P H Barrett; B M Bell; C Cobelli; H Golde; A Schumitzky; P Vicini; D M Foster
Journal:  Metabolism       Date:  1998-04       Impact factor: 8.694

5.  Estimation of insulin sensitivity and glucose clearance from minimal model: new insights from labeled IVGTT.

Authors:  C Cobelli; G Pacini; G Toffolo; L Saccà
Journal:  Am J Physiol       Date:  1986-05

6.  A stochastic deconvolution method to reconstruct insulin secretion rate after a glucose stimulus.

Authors:  G Sparacino; C Cobelli
Journal:  IEEE Trans Biomed Eng       Date:  1996-05       Impact factor: 4.538

7.  Experimental validation of measurements of glucose turnover in nonsteady state.

Authors:  J Radziuk; K H Norwich; M Vranic
Journal:  Am J Physiol       Date:  1978-01

8.  Quantitative estimation of insulin sensitivity.

Authors:  R N Bergman; Y Z Ider; C R Bowden; C Cobelli
Journal:  Am J Physiol       Date:  1979-06

9.  Postprandial hyperglycemia in patients with noninsulin-dependent diabetes mellitus. Role of hepatic and extrahepatic tissues.

Authors:  R G Firth; P M Bell; H M Marsh; I Hansen; R A Rizza
Journal:  J Clin Invest       Date:  1986-05       Impact factor: 14.808

10.  Glucose-induced suppression of endogenous glucose production: dynamic response to differing glucose profiles.

Authors:  A Vella; A S Reed; N Charkoudian; P Shah; R Basu; A Basu; M J Joyner; R A Rizza
Journal:  Am J Physiol Endocrinol Metab       Date:  2003-03-11       Impact factor: 4.310

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  13 in total

1.  Modeling the effects of subcutaneous insulin administration and carbohydrate consumption on blood glucose.

Authors:  Matthew W Percival; Wendy C Bevier; Youqing Wang; Eyal Dassau; Howard C Zisser; Lois Jovanovič; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Hepatic insulin sensitivity in healthy and prediabetic subjects: from a dual- to a single-tracer oral minimal model.

Authors:  Roberto Visentin; Chiara Dalla Man; Rita Basu; Ananda Basu; Robert A Rizza; Claudio Cobelli
Journal:  Am J Physiol Endocrinol Metab       Date:  2015-05-19       Impact factor: 4.310

3.  Randomized Controlled Trial of a MUFA or Fiber-Rich Diet on Hepatic Fat in Prediabetes.

Authors:  Isabel Errazuriz; Simmi Dube; Michael Slama; Roberto Visentin; Sunita Nayar; Helen O'Connor; Claudio Cobelli; Swapan Kumar Das; Ananda Basu; Walter Karl Kremers; John Port; Rita Basu
Journal:  J Clin Endocrinol Metab       Date:  2017-05-01       Impact factor: 5.958

4.  Diabetes: Models, Signals, and Control.

Authors:  Claudio Cobelli; Chiara Dalla Man; Giovanni Sparacino; Lalo Magni; Giuseppe De Nicolao; Boris P Kovatchev
Journal:  IEEE Rev Biomed Eng       Date:  2009-01-01

5.  Pathophysiology and aetiology of impaired fasting glycaemia and impaired glucose tolerance: does it matter for prevention and treatment of type 2 diabetes?

Authors:  K Faerch; K Borch-Johnsen; J J Holst; A Vaag
Journal:  Diabetologia       Date:  2009-07-10       Impact factor: 10.122

6.  Chromium effects on glucose tolerance and insulin sensitivity in persons at risk for diabetes mellitus.

Authors:  Ather Ali; Yingying Ma; Jesse Reynolds; John Pierce Wise; Silvio E Inzucchi; David L Katz
Journal:  Endocr Pract       Date:  2011 Jan-Feb       Impact factor: 3.443

7.  Modeling hepatic insulin sensitivity during a meal: validation against the euglycemic hyperinsulinemic clamp.

Authors:  Chiara Dalla Man; Francesca Piccinini; Rita Basu; Ananda Basu; Robert A Rizza; Claudio Cobelli
Journal:  Am J Physiol Endocrinol Metab       Date:  2013-02-26       Impact factor: 4.310

8.  Chromium Picolinate for the Prevention of Type 2 Diabetes.

Authors:  Ather Ali; Yingying Ma; Jesse Reynolds; John Pierce Wise; Silvio E Inzucchi; David L Katz
Journal:  Treat Strategies Diabetes       Date:  2011

9.  Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.

Authors:  Claudio Cobelli; Chiara Dalla Man
Journal:  J Diabetes Sci Technol       Date:  2021-05-25

Review 10.  The oral minimal model method.

Authors:  Claudio Cobelli; Chiara Dalla Man; Gianna Toffolo; Rita Basu; Adrian Vella; Robert Rizza
Journal:  Diabetes       Date:  2014-04       Impact factor: 9.461

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