Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches
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 physiolog...
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MDPI AG
2022-05-01
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Series: | Biomedicines |
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Online Access: | https://www.mdpi.com/2227-9059/10/5/1060 |
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author | Giovanni Pacini Bo Ahrén Christian Göbl Andrea Tura |
author_facet | Giovanni Pacini Bo Ahrén Christian Göbl Andrea Tura |
author_sort | Giovanni Pacini |
collection | DOAJ |
description | 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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issn | 2227-9059 |
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spelling | doaj.art-54bb806a05ac4aa7b6896c9fdf136bf82023-11-23T10:10:27ZengMDPI AGBiomedicines2227-90592022-05-01105106010.3390/biomedicines10051060Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling ApproachesGiovanni Pacini0Bo Ahrén1Christian Göbl2Andrea Tura3Independent Researcher, 35142 Padova, ItalyDepartment of Clinical Sciences, Lund University, 22184 Lund, SwedenDepartment of Obstetrics and Gynaecology, Medical University of Vienna, 1090 Vienna, AustriaCNR Institute of Neuroscience, 35127 Padova, ItalyMathematical 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.https://www.mdpi.com/2227-9059/10/5/1060insulinsecretagoguesbeta cellglucagon-like peptide-1glucose-dependent insulinotropic polypeptideglucagon |
spellingShingle | Giovanni Pacini Bo Ahrén Christian Göbl Andrea Tura Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches Biomedicines insulin secretagogues beta cell glucagon-like peptide-1 glucose-dependent insulinotropic polypeptide glucagon |
title | Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches |
title_full | Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches |
title_fullStr | Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches |
title_full_unstemmed | Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches |
title_short | Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches |
title_sort | assessing the effect of incretin hormones and other insulin secretagogues on pancreatic beta cell function review on mathematical modelling approaches |
topic | insulin secretagogues beta cell glucagon-like peptide-1 glucose-dependent insulinotropic polypeptide glucagon |
url | https://www.mdpi.com/2227-9059/10/5/1060 |
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