Zita Kátai

Nesfatin-1/NUCB2 as a Potential New Element of Sleep Regulation in Rats

Study Objectives Millions suffer from sleep disorders that often accompany severe illnesses such as major depression; a leading psychiatric disorder characterized by appetite and rapid eye movement sleep (REMS) abnormalities. Melanin-concentrating hormone (MCH) and nesfatin-1/NUCB2 (nesfatin) are strongly co - expressed in the hypothalamus and are involved both in food intake regulation and depression. Since MCH was recognized earlier as a hypnogenic factor, we analyzed the potential role of nesfatin on vigilance. Design We subjected rats to a 72 h-long REMS deprivation using the classic flower pot method, followed by a 3 h-long ‘rebound sleep’. Nesfatin mRNA and protein expressions as well as neuronal activity (Fos) were measured by quantitative in situ hybridization technique, ELISA and immunohistochemistry, respectively, in ‘deprived’ and ‘rebound’ groups, relative to controls sacrificed at the same time. We also analyzed electroencephalogram of rats treated by intracerebroventricularly administered nesfatin-1, or saline. Results REMS deprivation downregulated the expression of nesfatin (mRNA and protein), however, enhanced REMS during ‘rebound’ reversed this to control levels. Additionally, increased transcriptional activity (Fos) was demonstrated in nesfatin neurons during ‘rebound’. Centrally administered nesfatin-1 at light on reduced REMS and intermediate stage of sleep, while increased passive wake for several hours and also caused a short-term increase in light slow wave sleep. Conclusions The data designate nesfatin as a potential new factor in sleep regulation, which fact can also be relevant in the better understanding of the role of nesfatin in the pathomechanism of depression.

Small platform sleep deprivation selectively increases the average duration of rapid eye movement sleep episodes during sleep rebound

The single platform-on-water (flower pot) method is extensively used for depriving rapid eye movement sleep (REMS). Detailed comparison of sleep-wake architecture, recorded during the rebound period after spending three days on either a small or large platform, could separate the effects of REMS deficit from other stress factors caused by the procedure. A further aim of the study was to find the most characteristic REMS parameter of the rebound originating from REMS deficit. Rats were kept on a small or large platform for 72 h. Their fronto-parietal electroencephalogram, electromyogram and motility were recorded during the 24 h rebound at the beginning of the passive phase. A similar period of a home cage group was also recorded. The most typical differences between the two rebound groups were the increased cumulative time and longer average duration of REMS episodes without significant change in the number of these episodes of the small platform animals during the passive phase. Results obtained by cosinor analysis were in accordance with the findings above. Since we did not find any difference in the average duration of REMS episodes comparing the large platform rebound group and the home cage group, we concluded that the increased mean duration of REMS episodes is a selective marker for the rebound caused by small platform sleep deprivation, while other changes in sleep architecture may be the consequence of stress and also some sleep deficit.

Association between the activation of MCH and orexin immunorective neurons and REM sleep architecture during REM rebound after a three day long REM deprivation

Rapid eye movement (REM) sleep rebound following REM deprivation using the platform-on-water method is characterized by increased time spent in REM sleep and activation of melanin-concentrating hormone (MCH) expressing neurons. Orexinergic neurons discharge reciprocally to MCH-ergic neurons across the sleep-wake cycle. However, the relation between REM architecture and the aforementioned neuropeptides remained unclear. MCH-ergic neurons can be divided into two subpopulations regarding their cocaine- and amphetamine-regulated transcript (CART) immunoreactivity, and among them the activation of CART-immunoreactive subpopulation is higher during the REM rebound. However, the possible role of stress in this association has not been elucidated. Our aims were to analyze the relationship between the architecture of REM rebound and the activation of hypothalamic MCH-ergic and orexinergic neurons. We also intended to separate the effect of stress and REM deprivation on the subsequent activation of subpopulations of MCH-ergic neurons. In order to detect neuronal activity, we performed MCH/cFos and orexin/cFos double immunohistochemistry on home cage, sleep deprived and sleep-rebound rats using the platform-on-water method with small and large (stress control) platforms. Furthermore, REM architecture was analyzed and a triple MCH/CART/cFos immunohistochemistry was also performed on the rebound groups in the same animals. We found that the activity of MCH- and orexin-immunoreactive neurons during REM rebound was positively and negatively correlated with the number of REM bouts, respectively. A negative reciprocal correlation was also found between the activation of MCH- and orexin-immunoreactive neurons during REM rebound. Furthermore, difference between the activation of CART-immunoreactive (CART-IR) and non-CART-immunoreactive MCH-ergic neuron subpopulations was found only after selective REM deprivation, it was absent in the large platform (stress control) rebound group. These results support the role of CART-IR subpopulation of MCH-ergic neurons and the inverse relationship of MCH and orexin in the regulation of REM sleep after REM sleep deprivation.

Chronic escitalopram treatment attenuated the accelerated rapid eye movement sleep transitions after selective rapid eye movement sleep deprivation: a model-based analysis using Markov chains

BackgroundShortened rapid eye movement (REM) sleep latency and increased REM sleep amount are presumed biological markers of depression. These sleep alterations are also observable in several animal models of depression as well as during the rebound sleep after selective REM sleep deprivation (RD). Furthermore, REM sleep fragmentation is typically associated with stress procedures and anxiety. The selective serotonin reuptake inhibitor (SSRI) antidepressants reduce REM sleep time and increase REM latency after acute dosing in normal condition and even during REM rebound following RD. However, their therapeutic outcome evolves only after weeks of treatment, and the effects of chronic treatment in REM-deprived animals have not been studied yet.ResultsChronic escitalopram- (10 mg/kg/day, osmotic minipump for 24 days) or vehicle-treated rats were subjected to a 3-day-long RD on day 21 using the flower pot procedure or kept in home cage. On day 24, fronto-parietal electroencephalogram, electromyogram and motility were recorded in the first 2 h of the passive phase. The observed sleep patterns were characterized applying standard sleep metrics, by modelling the transitions between sleep phases using Markov chains and by spectral analysis.Based on Markov chain analysis, chronic escitalopram treatment attenuated the REM sleep fragmentation [accelerated transition rates between REM and non-REM (NREM) stages, decreased REM sleep residence time between two transitions] during the rebound sleep. Additionally, the antidepressant avoided the frequent awakenings during the first 30 min of recovery period. The spectral analysis showed that the SSRI prevented the RD-caused elevation in theta (5-9 hz) power during slow-wave sleep. Conversely, based on the aggregate sleep metrics, escitalopram had only moderate effects and it did not significantly attenuate the REM rebound after RD.ConclusionIn conclusion, chronic SSRI treatment is capable of reducing several effects on sleep which might be the consequence of the sub-chronic stress caused by the flower pot method. These data might support the antidepressant activity of SSRIs, and may allude that investigating the rebound period following the flower pot protocol could be useful to detect antidepressant drug response. Markov analysis is a suitable method to study the sleep pattern.

Acute and chronic escitalopram alter EEG gamma oscillations differently: relevance to therapeutic effects

&NA; Brain oscillations in the gamma frequency band of the electroencephalogram (EEG) have been implicated in several sensory and cognitive processes, and have also been associated with numerous neuropsychiatric disorders, including depression. The widely prescribed selective serotonin reuptake inhibitors (SSRIs), similarly to other antidepressants, are known to produce markedly different effects on sleep and behavioral measures with acute and chronic administration. Although there are studies examining the acute effect of escitalopram on slower (<30 Hz) oscillations, we hardly could find any data about the effect of the drug on higher‐frequency EEG oscillations (>30 Hz) in different sleep‐wake stages, particularly comparing the acute and chronic effects of the drug concerning gamma oscillations. Our aim was to investigate, how escitalopram affects gamma power in different sleep‐wake stages, and to discover possible differential effects between acute and chronic treatment. EEG‐equipped Wistar rats were treated with escitalopram or vehicle acutely (10 mg/kg, i.p.) or chronically (10 mg/kg/day for 21 days, osmotic minipumps) and frontoparietal EEG, electromyogram and motor activity were recorded during the first 3 h of passive phase. We found that acute and chronic escitalopram treatment affected gamma oscillations differently. While acute escitalopram caused a reduction in gamma power during rapid eye movement sleep (REMS) and intermediate stage of sleep (IS), chronic treatment caused an elevation in gamma power during non‐REMS stages, namely in light and deep slow‐wave sleep (SWS‐1 and SWS‐2, respectively) and in IS. However, gamma activity during active and passive wakefulness (AW and PW, respectively) was not influenced by either acute or chronic dosing of escitalopram. Furthermore, we found that in drug‐free (vehicle‐treated) rats, a relatively high gamma power was present during wakefulness and REMS, while a much lower power was measured during non‐REMS stages. These findings indicate that acute and chronic administration of escitalopram alter gamma activity differently, moreover, in a sleep‐wake stage dependent manner that may be related to differential therapeutic and/or side effects. Graphical abstract Figure. No caption available.

Neuromorphological and functional effects of ecstasy during serotonergic damage and recovery

Background The ring-substituted amphetamine derivative ( ± )-3,4methylendioxymethamphetamine (MDMA; Ecstasy) has become a widely abused psychoactive drug among young people. Studies indicate that MDMA produces long-term alterations of serotonergic parameters in the brain of rodents and primates, and MDMA was also found to be neurotoxic in humans. The aim of our work was to characterize the regional differences of the damage in the terminal and cellular areas, and the alterations during recovery. Serotonin (5-HT) plays a key role in the regulation of sleep, hence we used EEG recordings to measure functional and morphological effects in parallel during partial damage and recovery of brain serotonergic neurons by MDMA.

Analysis of sleep EEG during rebound sleep after three days REM deprivation

Background Effects of selective rapid eye movement sleep (REMS) deprivation are usually studied with the single platform-onwater method (flower pot). In this protocol, animals are placed on a small platform (SP) surrounded by water, and as muscle atony is typical for REMS, they fall into the water and awaken immediately as they switch to REMS. A large platform (LP) is also used, in order to separate the effects of REMS deprivation from other stress factors caused by the procedure, because animals can curl and can reach REMS on LP. Our aim was to study quantitativeelectroencephalography (Q-EEG) in different vigilance stages measured in the rebound period after three-daylong sleep deprivation.