Minor Changes in Daily Rhythms Induced by a Skeleton Photoperiod Are Associated with Increased Adiposity and Glucose Intolerance.
Rebeca Méndez-HernándezValentina S RumanovaMara A Guzmán-RuizEwout FoppenRodrigo Moreno-MortonGabriela Hurtado-AlvaradoCarolina EscobarAndries KalsbeekRuud Marinus BuijsPublished in: Advanced biology (2022)
Eating during the rest phase is associated with metabolic syndrome, proposed to result from a conflict between food consumption and the energy-saving state imposed by the circadian system. However, in nocturnal rodents, eating during the rest phase (day-feeding, DF) also implies food intake during light exposure. To investigate whether light exposure contributes to DF-induced metabolic impairments, animals receive food during the subjective day without light. A skeleton photoperiod (SP) is used to entrain rats to a 12:12 cycle with two short light pulses framing the subjective day. DF-induced adiposity is prevented by SP, suggesting that the conflict between light and feeding stimulates fat accumulation. However, all animals under SP conditions develop glucose intolerance regardless of their feeding schedule. Moreover, animals under SP with ad libitum or night-feeding have increased adiposity. SP animals show a delayed onset of the daily rise in body temperature and energy expenditure and shorter duration of nighttime activity, which may contribute to the metabolic disturbances. These data emphasize that metabolic homeostasis can only be achieved when all daily cycling variables are synchronized. Even small shifts in the alignment of different metabolic rhythms, such as those induced by SP, may predispose individuals to metabolic disease.
Keyphrases
- physical activity
- metabolic syndrome
- insulin resistance
- sleep quality
- high glucose
- adipose tissue
- diabetic rats
- blood pressure
- type diabetes
- risk assessment
- drug induced
- endothelial cells
- cardiovascular disease
- obstructive sleep apnea
- climate change
- human health
- electronic health record
- weight gain
- big data
- high intensity
- artificial intelligence
- sleep apnea