Artificial light at night suppresses the day-night cardiovascular variability: evidence from humans and rats.
Lubos MolcanKatarina BabarikovaDiana CvikovaNatalia KincelovaLenka KubincovaHana Mauer SutovskaPublished in: Pflugers Archiv : European journal of physiology (2024)
Artificial light at night (ALAN) affects most of the population. Through the retinohypothalamic tract, ALAN modulates the activity of the central circadian oscillator and, consequently, various physiological systems, including the cardiovascular one. We summarised the current knowledge about the effects of ALAN on the cardiovascular system in diurnal and nocturnal animals. Based on published data, ALAN reduces the day-night variability of the blood pressure and heart rate in diurnal and nocturnal animals by increasing the nocturnal values of cardiovascular variables in diurnal animals and decreasing them in nocturnal animals. The effects of ALAN on the cardiovascular system are mainly transmitted through the autonomic nervous system. ALAN is also considered a stress-inducing factor, as glucocorticoid and glucose level changes indicate. Moreover, in nocturnal rats, ALAN increases the pressure response to load. In addition, ALAN induces molecular changes in the heart and blood vessels. Changes in the cardiovascular system significantly depend on the duration of ALAN exposure. To some extent, alterations in physical activity can explain the changes observed in the cardiovascular system after ALAN exposure. Although ALAN acts differently on nocturnal and diurnal animals, we can conclude that both exhibit a weakened circadian coordination among physiological systems, which increases the risk of future cardiovascular complications and reduces the ability to anticipate stress.
Keyphrases
- blood pressure
- heart rate
- sleep quality
- obstructive sleep apnea
- physical activity
- heart rate variability
- sleep apnea
- healthcare
- hypertensive patients
- type diabetes
- depressive symptoms
- systematic review
- randomized controlled trial
- heart failure
- blood glucose
- metabolic syndrome
- stress induced
- deep learning
- single molecule