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Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery

BACKGROUND: Closed-loop insulin delivery is an emerging treatment for type 1 diabetes (T1D) evaluated clinically and using computer simulations during pre-clinical testing. Efforts to make closed-loop systems available to people with type 2 diabetes (T2D) calls for the development of a new type of s...

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Autores principales: Ruan, Yue, Thabit, Hood, Wilinska, Malgorzata E, Hovorka, Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359432/
https://www.ncbi.nlm.nih.gov/pubmed/25889091
http://dx.doi.org/10.1186/s12938-015-0009-5
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author Ruan, Yue
Thabit, Hood
Wilinska, Malgorzata E
Hovorka, Roman
author_facet Ruan, Yue
Thabit, Hood
Wilinska, Malgorzata E
Hovorka, Roman
author_sort Ruan, Yue
collection PubMed
description BACKGROUND: Closed-loop insulin delivery is an emerging treatment for type 1 diabetes (T1D) evaluated clinically and using computer simulations during pre-clinical testing. Efforts to make closed-loop systems available to people with type 2 diabetes (T2D) calls for the development of a new type of simulators to accommodate differences between T1D and T2D. Presented here is the development of a model of posthepatic endogenous insulin concentration, a component omitted in T1D simulators but key for simulating T2D physiology. METHODS: We evaluated six competing models to describe the time course of endogenous insulin concentration as a function of the plasma glucose concentration and time. The models were fitted to data collected in insulin-naive subjects with T2D who underwent two 24-h visits and were treated, in a random order, by either closed-loop insulin delivery or glucose-lowering oral agents. The model parameters were estimated using a Bayesian approach, as implemented in the WinBUGS software. Model selection criteria were used to identify the best model describing our clinical data. RESULTS: The selected model successfully described endogenous insulin concentration over 24 h in both study periods and provided plausible parameter estimates. Model-derived results were in concordance with a clinical finding which revealed increased posthepatic endogenous insulin concentration during the control study period (P < 0.05). The modelling results indicated that the excess amount of insulin can be attributed to the glucose-independent effect as the glucose-dependent effect was similar between visits (P > 0.05). CONCLUSIONS: A model to describe endogenous insulin concentration in T2D including components of posthepatic glucose-dependent and glucose-independent insulin secretion was identified and validated. The model is suitable to be incorporated in a simulation environment for evaluating closed-loop insulin delivery in T2D. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-015-0009-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-43594322015-03-15 Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery Ruan, Yue Thabit, Hood Wilinska, Malgorzata E Hovorka, Roman Biomed Eng Online Research BACKGROUND: Closed-loop insulin delivery is an emerging treatment for type 1 diabetes (T1D) evaluated clinically and using computer simulations during pre-clinical testing. Efforts to make closed-loop systems available to people with type 2 diabetes (T2D) calls for the development of a new type of simulators to accommodate differences between T1D and T2D. Presented here is the development of a model of posthepatic endogenous insulin concentration, a component omitted in T1D simulators but key for simulating T2D physiology. METHODS: We evaluated six competing models to describe the time course of endogenous insulin concentration as a function of the plasma glucose concentration and time. The models were fitted to data collected in insulin-naive subjects with T2D who underwent two 24-h visits and were treated, in a random order, by either closed-loop insulin delivery or glucose-lowering oral agents. The model parameters were estimated using a Bayesian approach, as implemented in the WinBUGS software. Model selection criteria were used to identify the best model describing our clinical data. RESULTS: The selected model successfully described endogenous insulin concentration over 24 h in both study periods and provided plausible parameter estimates. Model-derived results were in concordance with a clinical finding which revealed increased posthepatic endogenous insulin concentration during the control study period (P < 0.05). The modelling results indicated that the excess amount of insulin can be attributed to the glucose-independent effect as the glucose-dependent effect was similar between visits (P > 0.05). CONCLUSIONS: A model to describe endogenous insulin concentration in T2D including components of posthepatic glucose-dependent and glucose-independent insulin secretion was identified and validated. The model is suitable to be incorporated in a simulation environment for evaluating closed-loop insulin delivery in T2D. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-015-0009-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-04 /pmc/articles/PMC4359432/ /pubmed/25889091 http://dx.doi.org/10.1186/s12938-015-0009-5 Text en © Ruan et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Ruan, Yue
Thabit, Hood
Wilinska, Malgorzata E
Hovorka, Roman
Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery
title Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery
title_full Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery
title_fullStr Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery
title_full_unstemmed Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery
title_short Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery
title_sort modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359432/
https://www.ncbi.nlm.nih.gov/pubmed/25889091
http://dx.doi.org/10.1186/s12938-015-0009-5
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