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Project Details
Description
Overweight and obesity are refractory conditions of human physiology. By using personalized computer models of human metabolism the MATRyOSka project aims to obtain better understanding about the dynamics of the ‘obese system’. The project also investigates whether the effects of changes in nutrition and gut microbiota on metabolic health can be predicted.
Key findings
The MATRyOSka project investigated health and nutrition using a complexity science approach. We created personalized computer models of human metabolism for about 5500 people with overweight / obesity. Four model parameters were found to be predictive for metabolic health, and we validated these findings using independent measures. Part of the included individuals participated in a dietary intervention study, and we learnt that the effect of the diet could be explained by the model. The project has yielded important new insights into the complex dynamics of obesity and the effects of nutrition on metabolic health.
| Short title | NWO/Complexity/MATRyOSka |
|---|---|
| Acronym | MATRyOShka |
| Status | Finished |
| Effective start/end date | 1/10/17 → 30/06/23 |
Collaborative partners
- Eindhoven University of Technology (lead)
- Wageningen University & Research
- Maastricht Centre for Systems Biology (MaCSBio)
- Maastricht University
- Amsterdam University Medical Center
- Unilever Innovation Centre Wageningen BV
Keywords
- digital twinning
- metabolic syndrome
- diet intervention
- resilience
- virtual human twin (VHT)
- multi-organ model
Topsector
- TKI-LS&H
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Mechanistic pathways underlying semaglutide induced weight loss: a multi system modelling approach
van Riel, N. A. W., 11 May 2026, p. 93. 1 p.Research output: Contribution to conference › Abstract › Academic
Open Access -
SemaGBA: A System Dynamics Model of the Semaglutide-Responsive Gut-Brain Axis A Model of How the Brain and Semaglutide Regulate Appetite and Weight
Kennis, V. C. W. (Corresponding author) & van Riel, N. A. W., Jun 2026, In: Diabetes, Obesity and Metabolism. 28, 6, p. 5184-5194 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure) -
Physiology-informed regularisation enables training of universal differential equation systems for biological applications
de Rooij, M. (Corresponding author), Erdős, B., van Riel, N. A. W. & O'Donovan, S. D., Jan 2025, In: PLoS Computational Biology. 21, 1, 19 p., e1012198.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)52 Downloads (Pure)
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Mechanistic pathways underlying semaglutide induced weight loss: a multi system modelling approach
van Riel, N. A. W. (Speaker)
14 May 2026Activity: Talk or presentation types › Contributed talk › Scientific
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Mathematical modeling of the enterohepatic circulation
van Riel, N. A. W. (Speaker)
19 Nov 2025Activity: Talk or presentation types › Invited talk › Scientific
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The Mixed Meal Model; quantifying metabolic resilience in overweight and obesity
O'Donovan, S. (Speaker)
8 Oct 2022 → 12 Oct 2022Activity: Talk or presentation types › Contributed talk › Scientific
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MetaboTwin: Improving health benefits of sustainable protein foods via simulation and prediction of metabolic responses to complex meals (LWV24148)
van Riel, N. A. W. (Project Manager), O'Donovan, S. (Project member), Müller, J. (Project member) & Slothouber, M. (Project communication officer)
1/04/25 → 30/09/29
Project: Third tier
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DiaGame: DiaGame: Serious and personalized game for self-management of diabetes
van Riel, N. A. W. (Project Manager), Van Gorp, P. (Project member), de Vries, R. (Project member), Ferreira de Carvalho, D. (Project member) & Reinders, E. (Project member)
1/01/19 → 31/12/25
Project: Second tier
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RESOLVE: A systems biology approach to RESOLVE the molecular pathology of two hallmarks of patients with metabolic syndrome and its co-morbidities; hypertriglyceridemia and low HDL-cholesterol
van Riel, N. A. W. (Project Manager), Sips, F. L. P. (Project member), Rozendaal, Y. J. W. (Project member), Tiemann, C. A. (Project member), Groen, B. (Program Manager) & Kuivenhoven, J. A. (PI)
1/01/13 → 30/06/18
Project: Research direct
Datasets
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Database for "The impact of amino acids on postprandial glucose and insulin kinetics in humans: a quantitative overview"
van Sloun, B. (Creator), Goossens, G. H. (Creator), Erdős, B. (Creator), Lenz, M. (Creator), van Riel, N. A. W. (Creator), Arts, I. C. W. (Creator) & Wauters, F. (Contributor), DataverseNL, 21 Oct 2020
DOI: 10.34894/rnzi0a
Dataset
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Mixed Meal Model SBML
Baccinelli, W. (Creator), O'Donovan, S. (Creator), de Rooij, M. (Creator) & van Riel, N. (Creator), Zenodo, 17 May 2024
Dataset: Software