Standard

E-DES-PROT : A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans. / van Sloun, Bart; Goossens, Gijs H.; Erdõs, Balázs et al.

In: iScience, Vol. 26, No. 3, 106218, 17.03.2023.

Research output: Contribution to journal › Article › Academic › peer-review

Harvard

van Sloun, B, Goossens, GH, Erdõs, B, O'Donovan, SD, Singh-Povel, CCM, Geurts, JMW, van Riel, NAW & Arts, ICW 2023, 'E-DES-PROT: A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans', iScience, vol. 26, no. 3, 106218. https://doi.org/10.1016/j.isci.2023.106218

APA

van Sloun, B., Goossens, G. H., Erdõs, B., O'Donovan, S. D., Singh-Povel, C. C. M., Geurts, J. M. W., van Riel, N. A. W., & Arts, I. C. W. (2023). E-DES-PROT: A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans. iScience, 26(3), [106218]. https://doi.org/10.1016/j.isci.2023.106218

Vancouver

van Sloun B, Goossens GH, Erdõs B, O'Donovan SD, Singh-Povel CCM, Geurts JMW et al. E-DES-PROT: A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans. iScience. 2023 Mar 17;26(3):106218. doi: 10.1016/j.isci.2023.106218

Author

van Sloun, Bart ; Goossens, Gijs H. ; Erdõs, Balázs et al. / E-DES-PROT : A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans. In: iScience. 2023 ; Vol. 26, No. 3.

BibTeX

@article{cfed7b622fe747599ebeb984e98355aa,
title = "E-DES-PROT: A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans",
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.",
keywords = "Biomolecules, Human metabolism, In silico biology",
author = "{van Sloun}, Bart and Goossens, {Gijs H.} and Bal{\'a}zs Erd{\~o}s and O'Donovan, {Shauna D.} and Singh-Povel, {C. cile M.} and Geurts, {Jan M. W.} and {van Riel}, {Natal A. W.} and Arts, {Ilja C. W.}",
note = "Funding Information: The authors would like to thank the staff and participants of the randomized single-blind crossover trial study ( NCT02546141 ). The authors have declared that no competing interest exist in the writing of this publication. Funding for this research was obtained from the Netherlands Organisation for Scientific Research ( ALWTF.2016.021 ). N.v.R. and I.A. are supported by an NWO Complexity in Health and Nutrition grant Metabolic Adaptation, Transitions and Resilience in Over-weight IndividualS (MATRyOShka, 645.001.003 ). N.v.R. is also supported by the DiaGame project ( 628.011.027 ) of the research program Data2Person which is (partly) financed by the Dutch Research Council (NWO). Publisher Copyright: {\textcopyright} 2023 The Authors",
year = "2023",
month = mar,
day = "17",
doi = "10.1016/j.isci.2023.106218",
language = "English",
volume = "26",
journal = "iScience",
issn = "2589-0042",
publisher = "Elsevier Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - E-DES-PROT

T2 - A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans

AU - van Sloun, Bart

AU - Goossens, Gijs H.

AU - Erdõs, Balázs

AU - O'Donovan, Shauna D.

AU - Singh-Povel, C. cile M.

AU - Geurts, Jan M. W.

AU - van Riel, Natal A. W.

AU - Arts, Ilja C. W.

N1 - Funding Information: The authors would like to thank the staff and participants of the randomized single-blind crossover trial study ( NCT02546141 ). The authors have declared that no competing interest exist in the writing of this publication. Funding for this research was obtained from the Netherlands Organisation for Scientific Research ( ALWTF.2016.021 ). N.v.R. and I.A. are supported by an NWO Complexity in Health and Nutrition grant Metabolic Adaptation, Transitions and Resilience in Over-weight IndividualS (MATRyOShka, 645.001.003 ). N.v.R. is also supported by the DiaGame project ( 628.011.027 ) of the research program Data2Person which is (partly) financed by the Dutch Research Council (NWO). Publisher Copyright: © 2023 The Authors

PY - 2023/3/17

Y1 - 2023/3/17

N2 - 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.

AB - 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.

KW - Biomolecules

KW - Human metabolism

KW - In silico biology

UR - http://www.scopus.com/inward/record.url?scp=85148873247&partnerID=8YFLogxK

U2 - 10.1016/j.isci.2023.106218

DO - 10.1016/j.isci.2023.106218

M3 - Article

VL - 26

JO - iScience

JF - iScience

SN - 2589-0042

IS - 3

M1 - 106218

ER -

ID: 33674588