Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function : Review on Mathematical Modelling Approaches
(2022) In Biomedicines 10(5).- Abstract
Mathematical modelling in glucose metabolism has proven very useful for different reasons. Several models have allowed deeper understanding of the relevant physiological and pathophysiological aspects and promoted new experimental activity to reach increased knowledge of the biological and physiological systems of interest. Glucose metabolism modelling has also proven useful to identify the parameters with specific physiological meaning in single individuals, this being relevant for clinical applications in terms of precision diagnostics or therapy. Among those model-based physiological parameters, an important role resides in those for the assessment of different functional aspects of the pancreatic beta cell. This study focuses on the... (More)
Mathematical modelling in glucose metabolism has proven very useful for different reasons. Several models have allowed deeper understanding of the relevant physiological and pathophysiological aspects and promoted new experimental activity to reach increased knowledge of the biological and physiological systems of interest. Glucose metabolism modelling has also proven useful to identify the parameters with specific physiological meaning in single individuals, this being relevant for clinical applications in terms of precision diagnostics or therapy. Among those model-based physiological parameters, an important role resides in those for the assessment of different functional aspects of the pancreatic beta cell. This study focuses on the mathematical models of incretin hormones and other endogenous substances with known effects on insulin secretion and beta-cell function, mainly amino acids, non-esterified fatty acids, and glucagon. We found that there is a relatively large number of mathematical models for the effects on the beta cells of incretin hormones, both at the cellular/organ level or at the higher, whole-body level. In contrast, very few models were identified for the assessment of the effect of other insulin secretagogues. Given the opportunities offered by mathematical modelling, we believe that novel models in the investigated field are certainly advisable.
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- author
- Pacini, Giovanni ; Ahrén, Bo LU ; Göbl, Christian and Tura, Andrea
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- amino acids, beta cell, computational model, differential equation, glucagon, glucagon-like peptide-1, glucose-dependent insulinotropic polypeptide, insulin, non-esterified fatty acids, secretagogues
- in
- Biomedicines
- volume
- 10
- issue
- 5
- article number
- 1060
- publisher
- MDPI AG
- external identifiers
-
- pmid:35625797
- scopus:85130054556
- ISSN
- 2227-9059
- DOI
- 10.3390/biomedicines10051060
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
- id
- 466a86d2-ebd4-4440-a5ea-fe2724d1dde0
- date added to LUP
- 2022-07-14 14:57:49
- date last changed
- 2024-06-13 13:59:14
@article{466a86d2-ebd4-4440-a5ea-fe2724d1dde0,
abstract = {{<p>Mathematical modelling in glucose metabolism has proven very useful for different reasons. Several models have allowed deeper understanding of the relevant physiological and pathophysiological aspects and promoted new experimental activity to reach increased knowledge of the biological and physiological systems of interest. Glucose metabolism modelling has also proven useful to identify the parameters with specific physiological meaning in single individuals, this being relevant for clinical applications in terms of precision diagnostics or therapy. Among those model-based physiological parameters, an important role resides in those for the assessment of different functional aspects of the pancreatic beta cell. This study focuses on the mathematical models of incretin hormones and other endogenous substances with known effects on insulin secretion and beta-cell function, mainly amino acids, non-esterified fatty acids, and glucagon. We found that there is a relatively large number of mathematical models for the effects on the beta cells of incretin hormones, both at the cellular/organ level or at the higher, whole-body level. In contrast, very few models were identified for the assessment of the effect of other insulin secretagogues. Given the opportunities offered by mathematical modelling, we believe that novel models in the investigated field are certainly advisable.</p>}},
author = {{Pacini, Giovanni and Ahrén, Bo and Göbl, Christian and Tura, Andrea}},
issn = {{2227-9059}},
keywords = {{amino acids; beta cell; computational model; differential equation; glucagon; glucagon-like peptide-1; glucose-dependent insulinotropic polypeptide; insulin; non-esterified fatty acids; secretagogues}},
language = {{eng}},
number = {{5}},
publisher = {{MDPI AG}},
series = {{Biomedicines}},
title = {{Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function : Review on Mathematical Modelling Approaches}},
url = {{http://dx.doi.org/10.3390/biomedicines10051060}},
doi = {{10.3390/biomedicines10051060}},
volume = {{10}},
year = {{2022}},
}