Literature DB >> 11934663

Partitioning glucose distribution/transport, disposal, and endogenous production during IVGTT.

Roman Hovorka1, Fariba Shojaee-Moradie, Paul V Carroll, Ludovic J Chassin, Ian J Gowrie, Nicola C Jackson, Romulus S Tudor, A Margot Umpleby, Richard H Jones.   

Abstract

We have separated the effect of insulin on glucose distribution/transport, glucose disposal, and endogenous production (EGP) during an intravenous glucose tolerance test (IVGTT) by use of a dual-tracer dilution methodology. Six healthy lean male subjects (age 33 +/- 3 yr, body mass index 22.7 +/- 0.6 kg/m(2)) underwent a 4-h IVGTT (0.3 g/kg glucose enriched with 3-6% D-[U-(13)C]glucose and 5-10% 3-O-methyl-D-glucose) preceded by a 2-h investigation under basal conditions (5 mg/kg of D-[U-(13)C]glucose and 8 mg/kg of 3-O-methyl-D-glucose). A new model described the kinetics of the two glucose tracers and native glucose with the use of a two-compartment structure for glucose and a one-compartment structure for insulin effects. Insulin sensitivities of distribution/transport, disposal, and EGP were similar (11.5 +/- 3.8 vs. 10.4 +/- 3.9 vs. 11.1 +/- 2.7 x 10(-2) ml small middle dot kg(-1) small middle dot min(-1) per mU/l; P = nonsignificant, ANOVA). When expressed in terms of ability to lower glucose concentration, stimulation of disposal and stimulation of distribution/transport accounted each independently for 25 and 30%, respectively, of the overall effect. Suppression of EGP was more effective (P < 0.01, ANOVA) and accounted for 50% of the overall effect. EGP was suppressed by 70% (52-82%) (95% confidence interval relative to basal) within 60 min of the IVGTT; glucose distribution/transport was least responsive to insulin and was maximally activated by 62% (34-96%) above basal at 80 min compared with maximum 279% (116-565%) activation of glucose disposal at 20 min. The deactivation of glucose distribution/transport was slower than that of glucose disposal and EGP (P < 0.02) with half-times of 207 (84-510), 12 (7-22), and 29 (16-54) min, respectively. The minimal-model insulin sensitivity was tightly correlated with and linearly related to sensitivity of EGP (r = 0.96, P < 0.005) and correlated positively but nonsignificantly with distribution/transport sensitivity (r = 0.73, P = 0.10) and disposal sensitivity (r = 0.55, P = 0.26). We conclude that, in healthy subjects during an IVGTT, the two peripheral insulin effects account jointly for approximately one-half of the overall insulin-stimulated glucose lowering, each effect contributing equally. Suppression of EGP matches the effect in the periphery.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11934663     DOI: 10.1152/ajpendo.00304.2001

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


  64 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.  Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters.

Authors:  M W Percival; Y Wang; B Grosman; E Dassau; H Zisser; L Jovanovič; F J Doyle
Journal:  J Process Control       Date:  2011-03-01       Impact factor: 3.666

Review 3.  Technologies for continuous glucose monitoring: current problems and future promises.

Authors:  Santhisagar Vaddiraju; Diane J Burgess; Ioannis Tomazos; Faquir C Jain; Fotios Papadimitrakopoulos
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

4.  A simplification of Cobelli's glucose-insulin model for type 1 diabetes mellitus and its FPGA implementation.

Authors:  Peng Li; Lei Yu; Qiang Fang; Shuenn-Yuh Lee
Journal:  Med Biol Eng Comput       Date:  2015-12-30       Impact factor: 2.602

Review 5.  The future of open- and closed-loop insulin delivery systems.

Authors:  Terry G Farmer; Thomas F Edgar; Nicholas A Peppas
Journal:  J Pharm Pharmacol       Date:  2008-01       Impact factor: 3.765

6.  Peculiarities of the continuous glucose monitoring data stream and their impact on developing closed-loop control technology.

Authors:  Boris Kovatchev; William Clarke
Journal:  J Diabetes Sci Technol       Date:  2008-01

7.  Parenteral glucose and glucose control in the critically ill: a kinetic appraisal.

Authors:  Roman Hovorka; Jeremy Cordingley
Journal:  J Diabetes Sci Technol       Date:  2007-05

8.  Closed-loop control and advisory mode evaluation of an artificial pancreatic Beta cell: use of proportional-integral-derivative equivalent model-based controllers.

Authors:  Matthew W Percival; Howard Zisser; Lois Jovanovic; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2008-07

9.  Dynamic modeling of exercise effects on plasma glucose and insulin levels.

Authors:  Anirban Roy; Robert S Parker
Journal:  J Diabetes Sci Technol       Date:  2007-05

Review 10.  Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.

Authors:  Cornelia B Landersdorfer; William J Jusko
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.