Artificial night illumination disrupts sleep, and attenuates mood and learning in diurnal animals: evidence from behavior and gene expression studies in zebra finches.
Ashwani KumarAbhilash PrabhatVinod KumarSanjay Kumar BhardwajPublished in: Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology (2023)
This study investigated the effects of an illuminated night on sleep, mood, and cognitive performance in non-seasonal diurnal zebra finches that were exposed for 6 weeks to an ecologically relevant dimly lit night (12L:12dLAN; 150 lx: 5 lx) with controls on the dark night (12L:12D; 150 lx: < 0.01 lx). Food and water were provided ad libitum. Under dLAN (dim light at night), birds showed disrupted nocturnal (frequent awakenings) and overall decreased sleep duration. They also exhibited a compromised novel object exploration, a marker of the bird's mood state, and committed more errors, took significantly longer duration to learn with low retrieval performance of the learned task when tested for a color-discrimination (learning) task under the dLAN. Further, compared to controls, there was reduced mRNA expression level of genes involved in the neurogenesis, neural plasticity (bdnf, dcx and egr1) and motivation (th, drd2, taar1 and htr2c; dopamine synthesis and signaling genes) in the brain (hippocampus (HP), nidopallium caudolaterale (NCL), and midbrain) of birds under dLAN. These results show concurrent negative behavioral and molecular neural effects of the dimly illuminated nights, and provide insights into the possible impact on sleep and mental health in diurnal species inhabiting an increasingly urbanized ecosystem.
Keyphrases
- sleep quality
- depressive symptoms
- gene expression
- mental health
- physical activity
- resting state
- bipolar disorder
- climate change
- cerebral ischemia
- patient safety
- blood pressure
- emergency department
- human health
- functional connectivity
- obstructive sleep apnea
- high resolution
- gestational age
- high speed
- multiple sclerosis
- genome wide identification
- bioinformatics analysis
- electronic health record