Literature DB >> 9374690

The hot IVGTT two-compartment minimal model: indexes of glucose effectiveness and insulin sensitivity.

P Vicini1, A Caumo, C Cobelli.   

Abstract

A two-compartment minimal model (2CMM) has been proposed [A. Caumo and C. Cobelli. Am. J. Physiol. 264 (Endocrinol. Metab. 27): E829-E841, 1993] to describe intravenous glucose tolerance test (IVGTT) labeled (hereafter hot) glucose kinetics. This model, at variance with the one-compartment minimal model (1CMM), allows the estimation of a plausible profile of glucose production. The aim of this study is to show that the 2CMM also allows the assessment of insulin sensitivity (SI2*), glucose effectiveness (SG2*), and plasma clearance rate (PCR). The 2CMM was identified on stable-isotope IVGTTs performed in normal subjects (n = 14). Results were (means +/- SE) SG2* = 0.85 +/- 0.14 ml.kg-1.min-1, PCR = 2.02 +/- 0.14 ml.kg-1.min-1, and SI2* = 13.83 +/- 2.54 x 10(-2) ml.kg-1.min-1.microU-1.ml. The 1CMM was also identified; glucose effectiveness and insulin sensitivity indexes were SG*V = 1.36 +/- 0.08 ml.kg-1.min-1 and SI*V = 12.98 +/- 2.21 x 10(-2) ml.kg-1.min-1.microU-1.ml, respectively, where V is the 1CMM glucose distribution volume. SG*V was lower than PCR and higher than SG2* and did not correlate with either [r = 0.45 (NS) and r = 0.50 (NS), respectively], whereas SI*V was not different from and was correlated with SI2* (r = 0.95; P < 0.001). SG* compares well (r = 0.78; P < 0.001) with PCR normalized by the 2CMM total glucose distribution volume. In conclusion, the 2CMM is a powerful tool to assess glucose metabolism in vivo.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9374690     DOI: 10.1152/ajpendo.1997.273.5.E1024

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  15 in total

1.  Ethnic differences in glucose disposal, hepatic insulin sensitivity, and endogenous glucose production among African American and European American women.

Authors:  Amy C Ellis; Jessica A Alvarez; Wesley M Granger; Fernando Ovalle; Barbara A Gower
Journal:  Metabolism       Date:  2011-11-08       Impact factor: 8.694

2.  Multilevel model of type 1 diabetes mellitus patients for model-based glucose controllers.

Authors:  Winston Garcia-Gabin; Elling W Jacobsen
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

3.  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

4.  Continuous glucose monitors and the burden of tight glycemic control in critical care: can they cure the time cost?

Authors:  Matthew Signal; Christopher G Pretty; J Geoffrey Chase; Aaron Le Compte; Geoffrey M Shaw
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

5.  Race differences in the association of oxidative stress with insulin sensitivity in African- and European-American women.

Authors:  Gordon Fisher; Jessica A Alvarez; Amy C Ellis; Wesley M Granger; Fernando Ovalle; Chiara Dalla Man; Claudio Cobelli; Barbara A Gower
Journal:  Obesity (Silver Spring)       Date:  2011-12-15       Impact factor: 5.002

6.  A convenient LC-MS method for assessment of glucose kinetics in vivo with D-[13C6]glucose as a tracer.

Authors:  Haoyue Zhang; Robert D Stevens; Sarah P Young; Richard Surwit; Anastasia Georgiades; Raymond Boston; David S Millington
Journal:  Clin Chem       Date:  2009-01-30       Impact factor: 8.327

7.  Model predictive control of type 1 diabetes: an in silico trial.

Authors:  Lalo Magni; Davide M Raimondo; Luca Bossi; Chiara Dalla Man; Giuseppe De Nicolao; Boris Kovatchev; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2007-11

8.  Application of the integrated glucose-insulin model for cross-study characterization of T2DM patients on metformin background treatment.

Authors:  Joanna Parkinson; Bengt Hamrén; Maria C Kjellsson; Stanko Skrtic
Journal:  Br J Clin Pharmacol       Date:  2016-08-16       Impact factor: 4.335

9.  Nonlinear modeling of the dynamic effects of infused insulin on glucose: comparison of compartmental with Volterra models.

Authors:  Georgios D Mitsis; Mihalis G Markakis; Vasilis Z Marmarelis
Journal:  IEEE Trans Biomed Eng       Date:  2009-06-02       Impact factor: 4.538

10.  Impact of short term consumption of diets high in either non-starch polysaccharides or resistant starch in comparison with moderate weight loss on indices of insulin sensitivity in subjects with metabolic syndrome.

Authors:  Gerald E Lobley; Grietje Holtrop; David M Bremner; A Graham Calder; Eric Milne; Alexandra M Johnstone
Journal:  Nutrients       Date:  2013-06-10       Impact factor: 5.717

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.