TY - JOUR

T1 - Modeling the effect of glucagon on endogenous glucose production in type 1 diabetes

T2 - On the role of glucagon receptor dynamics

AU - Furió-Novejarque, Clara

AU - Sanz, Ricardo

AU - Ritschel, Tobias K.S.

AU - Reenberg, Asbjørn Thode

AU - Ranjan, Ajenthen G.

AU - Nørgaard, Kirsten

AU - Díez, José Luis

AU - Jørgensen, John Bagterp

AU - Bondia, Jorge

N1 - Publisher Copyright: © 2023

PY - 2023

Y1 - 2023

N2 - This paper validates a glucoregulatory model including glucagon receptors dynamics in the description of endogenous glucose production (EGP). A set of models from literature are selected for a head-to-head comparison in order to evaluate the role of glucagon receptors. Each EGP model is incorporated into an existing glucoregulatory model and validated using a set of clinical data, where both insulin and glucagon are administered. The parameters of each EGP model are identified in the same optimization problem, minimizing the root mean square error (RMSE) between the simulation and the clinical data. The results show that the RMSE for the proposed receptors-based EGP model was lower when compared to each of the considered models (Receptors approach: 7.13±1.71 mg/dl vs. 7.76±1.45 mg/dl (p=0.066), 8.45±1.38 mg/dl (p=0.011) and 8.99±1.62 mg/dl (p=0.007)). This raises the possibility of considering glucagon receptors dynamics in type 1 diabetes simulators.

AB - This paper validates a glucoregulatory model including glucagon receptors dynamics in the description of endogenous glucose production (EGP). A set of models from literature are selected for a head-to-head comparison in order to evaluate the role of glucagon receptors. Each EGP model is incorporated into an existing glucoregulatory model and validated using a set of clinical data, where both insulin and glucagon are administered. The parameters of each EGP model are identified in the same optimization problem, minimizing the root mean square error (RMSE) between the simulation and the clinical data. The results show that the RMSE for the proposed receptors-based EGP model was lower when compared to each of the considered models (Receptors approach: 7.13±1.71 mg/dl vs. 7.76±1.45 mg/dl (p=0.066), 8.45±1.38 mg/dl (p=0.011) and 8.99±1.62 mg/dl (p=0.007)). This raises the possibility of considering glucagon receptors dynamics in type 1 diabetes simulators.

KW - Endogenous glucose production

KW - Glucagon receptors

KW - Modeling

KW - Type 1 diabetes

U2 - 10.1016/j.compbiomed.2023.106605

DO - 10.1016/j.compbiomed.2023.106605

M3 - Journal article

C2 - 36731362

AN - SCOPUS:85147094019

VL - 154

JO - Computers in Biology and Medicine

JF - Computers in Biology and Medicine

SN - 0010-4825

M1 - 106605

ER -