Assessment of a new model of glucagon action with glucagon receptor dynamics
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Assessment of a new model of glucagon action with glucagon receptor dynamics. / Furió-Novejarque, Clara; Sanz, Ricardo; Reenberg, Asbjørn Thode; Ritschel, Tobias K.S.; Ranjan, Ajenthen G.; Nørgaard, Kirsten; Díez, Jose Luis; Jørgensen, John Bagterp; Bondia, Jorge.
In: IFAC-PapersOnLine, Vol. 55, No. 20, 2022, p. 647-652.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - Assessment of a new model of glucagon action with glucagon receptor dynamics
AU - Furió-Novejarque, Clara
AU - Sanz, Ricardo
AU - Reenberg, Asbjørn Thode
AU - Ritschel, Tobias K.S.
AU - Ranjan, Ajenthen G.
AU - Nørgaard, Kirsten
AU - Díez, Jose Luis
AU - Jørgensen, John Bagterp
AU - Bondia, Jorge
N1 - Publisher Copyright: © 2022 The Authors.
PY - 2022
Y1 - 2022
N2 - In this work, a novel insulin-glucagon-glucose model is proposed, where the glucagon effect on the endogenous glucose production (EGP) is described by the dynamics of the glucagon receptors. In order to assess the quality of the model, its parameters are fitted in such a way that the influence of glucagon on EGP is isolated. Experimental data is used to validate the model structure and show that the receptor dynamics allow to explain some of the glucagon-related phenomena observed in the clinical data. This physiology-focused model will be useful in the development of artificial pancreas algorithms both for more realistic in silico validations and in the development of model-based control strategies.
AB - In this work, a novel insulin-glucagon-glucose model is proposed, where the glucagon effect on the endogenous glucose production (EGP) is described by the dynamics of the glucagon receptors. In order to assess the quality of the model, its parameters are fitted in such a way that the influence of glucagon on EGP is isolated. Experimental data is used to validate the model structure and show that the receptor dynamics allow to explain some of the glucagon-related phenomena observed in the clinical data. This physiology-focused model will be useful in the development of artificial pancreas algorithms both for more realistic in silico validations and in the development of model-based control strategies.
KW - clinical data
KW - Diabetes
KW - glucagon receptors
KW - parameter estimation
KW - PK-PD model
U2 - 10.1016/j.ifacol.2022.09.169
DO - 10.1016/j.ifacol.2022.09.169
M3 - Conference article
AN - SCOPUS:85142216875
VL - 55
SP - 647
EP - 652
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 20
T2 - 10th Vienna International Conference on Mathematical Modelling, MATHMOD 2022
Y2 - 27 July 2022 through 29 July 2022
ER -
ID: 335684190