Model-based analysis of postprandial glycemic response dynamics for different types of food

Y.J. Rozendaal, A.H. Maas, C. van Pul, E.J.E. Cottaar, H.R. Haak, P.A.J. Hilbers, N.A. van Riel

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

25 Citaten (Scopus)
322 Downloads (Pure)

Samenvatting

Background & aims: Knowledge of postprandial glycemic response (PPGR) dynamics is important in nutrition management and diabetes research, care and (self)management. In daily life, food intake is the most important factor influencing the occurrence of hyperglycemia. However, the large variability in PPGR dynamics to different types of food is inadequately predicted by existing glycemic measures. The objective of this study was therefore to quantitatively describe PPGR dynamics using a systems approach. Methods: Postprandial glucose and insulin data were collected from literature for many different food products and mixed meals. The predictive value of existing measures, such as the Glycemic Index, was evaluated. A physiology-based dynamic model was used to reconstruct the full postprandial response profiles of both glucose and insulin simultaneously. Results: We collected a large range of postprandial glucose and insulin dynamics for 53 common food products and mixed meals. Currently available glycemic measures were found to be inadequate to describe the heterogeneity in postprandial dynamics. By estimating model parameters from glucose and insulin data, the physiology-based dynamic model accurately describes the measured data whilst adhering to physiological constraints. Conclusions: The physiology-based dynamic model provides a systematic framework to analyze postprandial glucose and insulin profiles. By changing parameter values the model can be adjusted to simulate impaired glucose tolerance and insulin resistance.

Originele taal-2Engels
Pagina's (van-tot)32-45
Aantal pagina's14
TijdschriftClinical Nutrition Experimental
Volume19
DOI's
StatusGepubliceerd - jun. 2018

Financiering

YJR was funded by EU grant FP7-HEALTH-305707 (RESOLVE) ; AHM was sponsored by Novo Nordisk . None of the authors has any competing interest.

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  • RESOLVE

    van Riel, N. A. W. (Project Manager), Sips, F. L. P. (Projectmedewerker), Rozendaal, Y. J. W. (Projectmedewerker), Tiemann, C. A. (Projectmedewerker), Groen, B. (Program Manager) & Kuivenhoven, J. A. (PI)

    1/01/1330/06/18

    Project: Onderzoek direct

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