Validation of a model of glucagon action including glucagon receptor dynamics under consecutive doses in low and high-carb diets

Clara Furió-Novejarque; Iván Sala-Mira; Ajenthen G. Ranjan; Kirsten Nørgaard; José Luis Díez; John Bagterp Jørgensen; Jorge Bondia

doi:10.1016/j.ifacol.2023.10.275

Validation of a model of glucagon action including glucagon receptor dynamics under consecutive doses in low and high-carb diets

Clara Furió-Novejarque, Iván Sala-Mira, Ajenthen G. Ranjan, Kirsten Nørgaard, José Luis Díez, John Bagterp Jørgensen, Jorge Bondia^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

Accurate mathematical models are needed to simulate and validate dual-hormone control algorithms for artificial pancreas systems. Glucagon receptors are a key component for glucagon to have effect on glucose. However, they are not usually taken into consideration in the development of models for type 1 diabetes (T1D). In previous work, a model proposal integrating glucagon receptor dynamics into endogenous glucose production (EGP) was successfully validated under single glucagon boluses. In this work, this model is further validated using a dataset of clinical data where two glucagon doses (100 and 500 µg) are consecutively administered to 10 patients with T1D in two different settings: low and high-carb diets (total of 20 datasets). The model performance is compared to three other EGP models from literature under different identification criteria. The receptors model achieved the lowest root mean squared error regardless of the diet and the individualization method.

Original language	English
Book series	IFAC-PapersOnLine
Volume	56
Issue number	2
Pages (from-to)	9666-9671
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.275
Publication status	Published - 2023
Event	22^nd IFAC World Congress - Pacific Convention Plaza Yokohama, Yokohama, Japan Duration: 9 Jul 2023 → 14 Jul 2023 Conference number: 22

Conference

Conference	22^nd IFAC World Congress
Number	22
Location	Pacific Convention Plaza Yokohama
Country/Territory	Japan
City	Yokohama
Period	09/07/2023 → 14/07/2023
Sponsor	Azbil Corporation, Fujita Corporation, Hitachi, Ltd., Kumagai Gumi Co., Ltd., The Society of Instrument and Control Engineers (SICE)

Keywords

Artificial Pancreas
Biomedical system modeling
Diabetes
Identification and validation
Nonlinear system identification
Physiological Model

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Validation of a model of glucagon action including glucagon receptor dynamics under consecutive doses in low and high-carb diets",

abstract = "Accurate mathematical models are needed to simulate and validate dual-hormone control algorithms for artificial pancreas systems. Glucagon receptors are a key component for glucagon to have effect on glucose. However, they are not usually taken into consideration in the development of models for type 1 diabetes (T1D). In previous work, a model proposal integrating glucagon receptor dynamics into endogenous glucose production (EGP) was successfully validated under single glucagon boluses. In this work, this model is further validated using a dataset of clinical data where two glucagon doses (100 and 500 µg) are consecutively administered to 10 patients with T1D in two different settings: low and high-carb diets (total of 20 datasets). The model performance is compared to three other EGP models from literature under different identification criteria. The receptors model achieved the lowest root mean squared error regardless of the diet and the individualization method.",

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note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress , IFAC 2023 ; Conference date: 09-07-2023 Through 14-07-2023",

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AU - Nørgaard, Kirsten

AU - Díez, José Luis

AU - Jørgensen, John Bagterp

AU - Bondia, Jorge

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AB - Accurate mathematical models are needed to simulate and validate dual-hormone control algorithms for artificial pancreas systems. Glucagon receptors are a key component for glucagon to have effect on glucose. However, they are not usually taken into consideration in the development of models for type 1 diabetes (T1D). In previous work, a model proposal integrating glucagon receptor dynamics into endogenous glucose production (EGP) was successfully validated under single glucagon boluses. In this work, this model is further validated using a dataset of clinical data where two glucagon doses (100 and 500 µg) are consecutively administered to 10 patients with T1D in two different settings: low and high-carb diets (total of 20 datasets). The model performance is compared to three other EGP models from literature under different identification criteria. The receptors model achieved the lowest root mean squared error regardless of the diet and the individualization method.

KW - Artificial Pancreas

KW - Biomedical system modeling

KW - Diabetes

KW - Identification and validation

KW - Nonlinear system identification

KW - Physiological Model

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ER -

Validation of a model of glucagon action including glucagon receptor dynamics under consecutive doses in low and high-carb diets

Abstract

Conference

Keywords

UN SDGs

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