Main glucose hepatic fluxes in healthy subjects predicted from a phenomenological-based model

Background: The liver has a unique role in blood glucose regulation in postprandial, postabsorptive, and fasting states. In the context of diabetes technology, current maximal models of glucose homeostasis lack a proper dynamical description of main glucose-related fluxes acting over and from the li...

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Autores:
Builes Montaño, Carlos Esteban
Lema Pérez, Laura
García Tirado, José
Álvarez Zapata, Hernán Darío
Tipo de recurso:
Article of investigation
Fecha de publicación:
2022
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/48369
Acceso en línea:
https://hdl.handle.net/10495/48369
Palabra clave:
Modelos matemáticos
Mathematical models
Diabetes mellitus
Hígado
Liver
Glucemia - metabolismo
Blood Glucose - metabolism
Diabetes Mellitus Tipo 2
Diabetes Mellitus, Type 2*
Glucagón - metabolismo
Glucagon - metabolism
Glucosa - metabolismo
Glucose - metabolism
Voluntarios Sanos
Healthy Volunteers
Insulina - metabolismo
Insulin - metabolism
http://id.loc.gov/authorities/subjects/sh2002007921
https://id.nlm.nih.gov/mesh/D003920
https://id.nlm.nih.gov/mesh/D008099
https://id.nlm.nih.gov/mesh/D001786
https://id.nlm.nih.gov/mesh/D003924
https://id.nlm.nih.gov/mesh/D005934
https://id.nlm.nih.gov/mesh/D005947
https://id.nlm.nih.gov/mesh/D064368
https://id.nlm.nih.gov/mesh/D007328
Rights
openAccess
License
http://creativecommons.org/licenses/by/4.0/
Description
Summary:Background: The liver has a unique role in blood glucose regulation in postprandial, postabsorptive, and fasting states. In the context of diabetes technology, current maximal models of glucose homeostasis lack a proper dynamical description of main glucose-related fluxes acting over and from the liver, providing a rather simplistic estimation of key quantities as endogenous glucose production and insulin and glucagon clearance. Methods: Using a three-phase well-established phenomenological-based semi-physical modeling (PBSM) methodology, we built a detailed physiological model of hepatic glucose metabolism, including glucose utilization, endogenous glucose production through gluconeogenesis and glycogenolysis, and insulin and glucagon clearance. Mean absolute errors (MAE) were used to assess the goodness of fit of the proposed model against the data from three different in-vivo experiments -two oral glucose tolerance tests (OGTT) and a mixed meal challenge following overnight fasting-in healthy subjects. Results: Needing little parameter calibration, the proposed model predicts experimental systemic glucose mean ± std 5.4 ± 5.2, 7.5 ± 6.8, and 7.5 ± 7.5 mg/dL, in all three experiments. Low MAEs were also obtained for insulin and glucagon at the hepatic vein. Conclusions: The quantitative concordance of our model to the experimental data exhibits a potential for its use in the physiological study of glucose liver metabolism. The model structure and parameter interpretability allow the union with other semi-physical models for a better understanding of whole-body glucose homeostasis and its use in developing diabetes technology tools.