Diet-Induced Obesity and Circadian Disruption of Feeding Behavior

Autor: Alexandra N. Garcia, Susanne E. la Fleur, Jorge E. Mendoza, Aurea Susana Blancas-Velazquez
Přispěvatelé: Institut des Neurosciences Cellulaires et Intégratives (INCI), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), University of Amsterdam [Amsterdam] (UvA), Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences (KNAW)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Frontiers in Neuroscience
Frontiers in Neuroscience, Frontiers, 2017, 11, pp.23. ⟨10.3389/fnins.2017.00023⟩
Frontiers in Neuroscience, 11. Frontiers Media SA
ISSN: 1662-4548
1662-453X
Popis: International audience; Feeding behavior shows a rhythmic daily pattern, which in nocturnal rodents is observed mainly during the dark period. This rhythmicity is under the influence of the hypothalamic suprachiasmatic nucleus (SCN), the main biological clock. Nevertheless, various studies have shown that in rodent models of obesity, using high-energy diets, the general locomotor activity and feeding rhythms can be disrupted. Here, we review the data on the effects of diet-induced obesity (DIO) on locomotor activity and feeding patterns, as well as the effect on the brain sites within the neural circuitry involved in metabolic and rewarding feeding behavior. In general, DIO may alter locomotor activity by decreasing total activity. On the other hand, DIO largely alters eating patterns, producing increased overall ingestion and number of eating bouts that can extend to the resting period. Furthermore, within the hypothalamic areas, little effect has been reported on the molecular circadian mechanism in DIO animals with ad libitum hypercaloric diets and little or no data exist so far on its effects on the reward system areas. We further discuss the possibility of an uncoupling of metabolic and reward systems in DIO and highlight a gap of circadian and metabolic research that may help to better understand the implications of obesity
Databáze: OpenAIRE