Pacini Giovanni, Ahrén Bo, Göbl Christian, Tura Andrea
Independent Researcher, 35142 Padova, Italy.
Department of Clinical Sciences, Lund University, 22184 Lund, Sweden.
Biomedicines. 2022 May 3;10(5):1060. doi: 10.3390/biomedicines10051060.
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.
出于不同原因，葡萄糖代谢的数学建模已证明非常有用。几个模型有助于更深入地理解相关的生理和病理生理方面，并推动了新的实验活动，以增加对感兴趣的生物和生理系统的了解。葡萄糖代谢建模也已证明有助于识别个体中具有特定生理意义的参数，这在精准诊断或治疗的临床应用方面具有相关性。在那些基于模型的生理参数中，评估胰腺β细胞不同功能方面的参数起着重要作用。本研究聚焦于肠促胰岛素激素以及其他对胰岛素分泌和β细胞功能有已知影响的内源性物质的数学模型，主要是氨基酸、非酯化脂肪酸和胰高血糖素。我们发现，无论是在细胞/器官水平还是在更高的全身水平，针对肠促胰岛素激素对β细胞影响的数学模型数量相对较多。相比之下，用于评估其他胰岛素促分泌剂作用的模型却很少。鉴于数学建模提供的机会，我们认为在所研究领域建立新模型肯定是明智的。
