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A predictive model of the dynamics of body weight and food intake in rats submitted to caloric restrictions.

Marine Jacquier 1, 2, 3 Fabien Crauste 1, 2 Christophe Soulage 4 Hédi A Soula 4, 5
1 DRACULA - Multi-scale modelling of cell dynamics : application to hematopoiesis
ICJ - Institut Camille Jordan [Villeurbanne], Inria Grenoble - Rhône-Alpes, CGPhiMC - Centre de génétique et de physiologie moléculaire et cellulaire
3 MMCS - Modélisation mathématique, calcul scientifique
ICJ - Institut Camille Jordan [Villeurbanne]
5 BEAGLE - Artificial Evolution and Computational Biology
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
Abstract : Dynamics of body weight and food intake can be studied by temporally perturbing food availability. This perturbation can be obtained by modifying the amount of available food over time while keeping the overall food quantity constant. To describe food intake dynamics, we developed a mathematical model that describes body weight, fat mass, fat-free mass, energy expenditure and food intake dynamics in rats. In addition, the model considers regulation of food intake by leptin, ghrelin and glucose. We tested our model on rats experiencing temporally variable food availability. Our model is able to predict body weight and food intake variations by taking into account energy expenditure dynamics based on a memory of the previous food intake. This model allowed us to estimate this memory lag to approximately 8 days. It also explains how important variations in food availability during periods longer than these 8 days can induce body weight gains.
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Submitted on : Tuesday, November 25, 2014 - 11:26:58 AM
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Marine Jacquier, Fabien Crauste, Christophe Soulage, Hédi A Soula. A predictive model of the dynamics of body weight and food intake in rats submitted to caloric restrictions.. PLoS ONE, Public Library of Science, 2014, 9 (6), pp.e100073. ⟨10.1371/journal.pone.0100073⟩. ⟨hal-01017357⟩

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