Literature DB >> 15651559

Insulin kinetics in type-I diabetes: continuous and bolus delivery of rapid acting insulin.

Malgorzata E Wilinska1, Ludovic J Chassin, Helga C Schaller, Lukas Schaupp, Thomas R Pieber, Roman Hovorka.   

Abstract

We investigated insulin lispro kinetics with bolus and continuous subcutaneous insulin infusion (CSII) modes of insulin delivery. Seven subjects with type-1 diabetes treated by CSII with insulin lispro have been studied during prandial and postprandial conditions over 12 hours. Eleven alternative models of insulin kinetics have been proposed implementing a number of putative characteristics. We assessed 1) the effect of insulin delivery mode, i.e., bolus or basal, on the insulin absorption rate, the effects of 2) insulin association state and 3) insulin dose on the rate of insulin absorption, 4) the remote insulin effect on its volume of distribution, 5) the effect of insulin dose on insulin disappearance, 6) the presence of insulin degradation at the injection site, and finally 7) the existence of two pathways, fast and slow, of insulin absorption. An iterative two-stage parameter estimation technique was used. Models were validated through assessing physiological feasibility of parameter estimates, posterior identifiability, and distribution of residuals. Based on the principle of parsimony, best model to fit our data combined the slow and fast absorption channels and included local insulin degradation. The model estimated that 67(53-82)% [mean (interquartile range)] of delivered insulin passed through the slow absorption channel [absorption rate 0.011(0.004-0.029) min(-1)] with the remaining 33% passed through the fast channel [absorption rate 0.021(0.011-0.040) min(-1)]. Local degradation rate was described as a saturable process with Michaelis-Menten characteristics [VMAX = 1.93(0.62 - 6.03) mU min(-1), KM = 62.6(62.6 - 62.6) mU]. Models representing the dependence of insulin absorption rate on insulin disappearance and the remote insulin effect on its volume of distribution could not be validated suggesting that these effects are not present or cannot be detected during physiological conditions.

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Year:  2005        PMID: 15651559     DOI: 10.1109/TBME.2004.839639

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  57 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

3.  Incorporating an Exercise Detection, Grading, and Hormone Dosing Algorithm Into the Artificial Pancreas Using Accelerometry and Heart Rate.

Authors:  Peter G Jacobs; Navid Resalat; Joseph El Youssef; Ravi Reddy; Deborah Branigan; Nicholas Preiser; John Condon; Jessica Castle
Journal:  J Diabetes Sci Technol       Date:  2015-10-05

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

5.  Within-patient variation of the pharmacokinetics of subcutaneously injected biphasic insulin aspart as assessed by compartmental modelling.

Authors:  W H O Clausen; A De Gaetano; A Vølund
Journal:  Diabetologia       Date:  2006-07-25       Impact factor: 10.122

Review 6.  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

7.  Subcutaneous Insulin Administration: Sufficient Progress or Ongoing Need?

Authors:  Ronald J Pettis; Douglas Muchmore; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2018-12-07

8.  Postprandial fuzzy adaptive strategy for a hybrid proportional derivative controller for the artificial pancreas.

Authors:  Aleix Beneyto; Josep Vehi
Journal:  Med Biol Eng Comput       Date:  2018-05-03       Impact factor: 2.602

9.  Systemically modeling the dynamics of plasma insulin in subcutaneous injection of insulin analogues for type 1 diabetes.

Authors:  Jiaxu Li; Yang Kuang
Journal:  Math Biosci Eng       Date:  2009-01       Impact factor: 2.080

10.  In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.

Authors:  Boris P Kovatchev; Marc Breton; Chiara Dalla Man; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2009-01
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