E-DES-PROT: A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans

Bart Van sloun*, Gijs H. Goossens, Balázs Erdõs, Shauna D. O’donovan, Cécile M. Singh-Povel, Jan M.w. Geurts, Natal A.w. Van riel, Ilja C.w. Arts

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Current computational models of whole-body glucose homeostasis describe physiological processes by which insulin regulates circulating glucose concentrations. While these models perform well in response to oral glucose challenges, interaction with other nutrients that impact postprandial glucose metabolism, such as amino acids (AAs), is not considered. Here, we developed a computational model of the human glucose-insulin system, which incorporates the effects of AAs on insulin secretion and hepatic glucose production. This model was applied to postprandial glucose and insulin time-series data following different AA challenges (with and without co-ingestion of glucose), dried milk protein ingredients, and dairy products. Our findings demonstrate that this model allows accurate description of postprandial glucose and insulin dynamics and provides insight into the physiological processes underlying meal responses. This model may facilitate the development of computational models that describe glucose homeostasis following the intake of multiple macronutrients, while capturing relevant features of an individual's metabolic health.

Original languageEnglish
Article number106218
Number of pages14
JournaliScience
Volume26
DOIs
Publication statusPublished - 17 Mar 2023

Keywords

  • Metabolic-response
  • Ingestion
  • Secretion
  • Glucagon

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