
pmid: 26116428
Obesity is often associated with leptin resistance, which leads to a physiological system with high leptin concentration but unable to respond to leptin signals and to regulate food intake. We propose a mathematical model of the leptin-leptin receptors system, based on the assumption that leptin is a regulator of its own receptor activity, and investigate its qualitative behavior. Based on current knowledge and previous models developed for body weight dynamics in rodents, the model includes the dynamics of leptin, leptin receptors and the regulation of food intake and body weight. It displays two stable equilibria, one representing a healthy state and the other one an obese and leptin resistant state. We show that a constant leptin injection can lead to leptin resistance and that a temporal variation in some parameter values influencing food intake can induce a change of equilibrium and a pathway to leptin resistance and obesity.
Leptin, obesity, Drug Resistance, 610, Models, Biological, 510, Eating, Animals, Humans, Obesity, food intake regulation, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Body Weight, Mathematical Concepts, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], leptin resistance, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, nonlinear model, Receptors, Leptin, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Leptin, obesity, Drug Resistance, 610, Models, Biological, 510, Eating, Animals, Humans, Obesity, food intake regulation, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Body Weight, Mathematical Concepts, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], leptin resistance, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, nonlinear model, Receptors, Leptin, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
