Literature DB >> 17991459

Fitting and evaluating the glucose curve during a quasi continuous sampled oral glucose tolerance test.

Héctor Miguel Trujillo-Arriaga1, Rubén Román-Ramos.   

Abstract

A dynamical model for blood glucose concentration, using a quasi continuous sample time interval OGTT is proposed. When this quasi continuous sample OGTT is performed, there are some detectable variations on blood glucose concentrations which could be related with reported endogenous glucose release. It is proposed that blood glucose concentration regulation system can be described by a number of linear, second order, underdamped subsystems, where blood glucose concentration dynamics can be viewed as a multifunction composed by the algebraic sum of the impulse responses of each subsystem, where unit impulse inputs are the glucose load, and the endogenous excitations.

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Year:  2007        PMID: 17991459     DOI: 10.1016/j.compbiomed.2007.09.004

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  14 in total

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3.  The shape of the glucose concentration curve during an oral glucose tolerance test predicts risk for type 1 diabetes.

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Journal:  Diabetologia       Date:  2017-09-27       Impact factor: 10.122

4.  The Pathological Evolution of Glucose Response Curves During the Progression to Type 1 Diabetes in the TrialNet Pathway to Prevention Study.

Authors:  Heba M Ismail; Mario A Cleves; Ping Xu; Ingrid M Libman; Dorothy J Becker; Jennifer B Marks; Jay S Skyler; Jerry P Palmer; Jay M Sosenko
Journal:  Diabetes Care       Date:  2020-09-08       Impact factor: 19.112

5.  The Shape of the Glucose Response Curve During an Oral Glucose Tolerance Test: Forerunner of Heightened Glycemic Failure Rates and Accelerated Decline in β-Cell Function in TODAY.

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Journal:  Diabetes Care       Date:  2018-11-19       Impact factor: 19.112

6.  The Shape of the Glucose Response Curve During an Oral Glucose Tolerance Test Heralds Biomarkers of Type 2 Diabetes Risk in Obese Youth.

Authors:  Joon Young Kim; Sara F Michaliszyn; Alexis Nasr; SoJung Lee; Hala Tfayli; Tamara Hannon; Kara S Hughan; Fida Bacha; Silva Arslanian
Journal:  Diabetes Care       Date:  2016-06-12       Impact factor: 19.112

7.  OGTT Glucose Response Curves, Insulin Sensitivity, and β-Cell Function in RISE: Comparison Between Youth and Adults at Randomization and in Response to Interventions to Preserve β-Cell Function.

Authors:  Silva A Arslanian; Laure El Ghormli; Joon Young Kim; Ashley H Tjaden; Elena Barengolts; Sonia Caprio; Tamara S Hannon; Kieren J Mather; Kristen J Nadeau; Kristina M Utzschneider; Steven E Kahn
Journal:  Diabetes Care       Date:  2021-01-12       Impact factor: 19.112

8.  Glucose response curve and type 2 diabetes risk in Latino adolescents.

Authors:  Joon Young Kim; Dawn K Coletta; Lawrence J Mandarino; Gabriel Q Shaibi
Journal:  Diabetes Care       Date:  2012-06-29       Impact factor: 19.112

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10.  A computational model of the human glucose-insulin regulatory system.

Authors:  Keh-Dong Shiang; Fouad Kandeel
Journal:  J Biomed Res       Date:  2010-09
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