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 - Copyright © 2023. Published by Elsevier Ltd.
PY - 2023/3
Y1 - 2023/3
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.
UR - http://www.scopus.com/inward/record.url?scp=85147094019&partnerID=8YFLogxK
U2 - 10.1016/j.compbiomed.2023.106605
DO - 10.1016/j.compbiomed.2023.106605
M3 - Journal article
C2 - 36731362
SN - 0010-4825
VL - 154
SP - 106605
JO - Computers in Biology and Medicine
JF - Computers in Biology and Medicine
M1 - 106605
ER -