Imperial College London
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ProfessorGaryFrost

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Chair in Nutrition & Dietetics
 
 
 
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Contact

 

+44 (0)20 7594 0959g.frost Website

 
 
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Location

 

Commonwealth BiuldingHammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{O'Donovan:2024:10.1016/j.isci.2024.109362,
author = {O'Donovan, SD and Rundle, M and Thomas, EL and Bell, JD and Frost, G and Jacobs, DM and Wanders, A and de, Vries R and Mariman, ECM and van, Baak MA and Sterkman, L and Nieuwdorp, M and Groen, AK and Arts, ICW and van, Riel NAW and Afman, LA},
doi = {10.1016/j.isci.2024.109362},
journal = {iScience},
title = {Quantifying the effect of nutritional interventions on metabolic resilience using personalized computational models.},
url = {http://dx.doi.org/10.1016/j.isci.2024.109362},
volume = {27},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The manifestation of metabolic deteriorations that accompany overweight and obesity can differ greatly between individuals, giving rise to a highly heterogeneous population. This inter-individual variation can impede both the provision and assessment of nutritional interventions as multiple aspects of metabolic health should be considered at once. Here, we apply the Mixed Meal Model, a physiology-based computational model, to characterize an individual's metabolic health in silico. A population of 342 personalized models were generated using data for individuals with overweight and obesity from three independent intervention studies, demonstrating a strong relationship between the model-derived metric of insulin resistance (ρ = 0.67, p < 0.05) and the gold-standard hyperinsulinemic-euglycemic clamp. The model is also shown to quantify liver fat accumulation and β-cell functionality. Moreover, we show that personalized Mixed Meal Models can be used to evaluate the impact of a dietary intervention on multiple aspects of metabolic health at the individual level.
AU  - O'Donovan,SD
AU  - Rundle,M
AU  - Thomas,EL
AU  - Bell,JD
AU  - Frost,G
AU  - Jacobs,DM
AU  - Wanders,A
AU  - de,Vries R
AU  - Mariman,ECM
AU  - van,Baak MA
AU  - Sterkman,L
AU  - Nieuwdorp,M
AU  - Groen,AK
AU  - Arts,ICW
AU  - van,Riel NAW
AU  - Afman,LA
DO  - 10.1016/j.isci.2024.109362
PY  - 2024///
TI  - Quantifying the effect of nutritional interventions on metabolic resilience using personalized computational models.
T2  - iScience
UR  - http://dx.doi.org/10.1016/j.isci.2024.109362
UR  - https://www.ncbi.nlm.nih.gov/pubmed/38500825
VL  - 27
ER  -
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