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

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 mod...

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Bibliographic Details
Published in:PloS one 2014-06, Vol.9 (6), p.e100073-e100073
Main Authors: Jacquier, Marine, Crauste, Fabien, Soulage, Christophe O, Soula, Hédi A
Format: Article
Language:English
Subjects:
Adaptation
Aging
Animal behavior
Animals
Availability
Bioinformatics
Biology and Life Sciences
Body fat
Body mass index
Body Weight
Body weight gain
Caloric Restriction
Computer Science
Dynamics
Eating
Energy
Energy expenditure
Energy Intake
Energy Metabolism
Experiments
Fat-free body mass
Food
Food and Nutrition
Food availability
Food intake
Ghrelin
Glucose
Homeostasis
Hormones
Laboratory animals
Leptin
Leptin - metabolism
Life Sciences
Mathematical analysis
Mathematical models
Medicine and Health Sciences
Memory - physiology
Metabolism
Modeling and Simulation
Models, Theoretical
Obesity
Peptides
Quantitative Methods
Rats
Rats, Wistar
Research and Analysis Methods
Rodents
Studies
Thermogenesis
Weight control
Weight Gain
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Summary: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0100073