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

Marine Jacquier 1, 2 Fabien Crauste 1, 2 Christophe O Soulage 3 Hédi A Soula 3, 4
1 DRACULA - Multi-scale modelling of cell dynamics : application to hematopoiesis
CGMC - Centre de génétique moléculaire et cellulaire, Inria Grenoble - Rhône-Alpes, ICJ - Institut Camille Jordan [Villeurbanne], UCBL - Université Claude Bernard Lyon 1 : EA
4 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, CarMeN - Laboratoire de recherche en cardiovasculaire, métabolisme, diabétologie et nutrition
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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Marine Jacquier, Fabien Crauste, Christophe O 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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