Introduction

Corticotropin-releasing hormone (CRH) is a neuropeptide involved in the coordination of the humoral and behavioral response to stress.1, 2, 3 Prominent features of stress-elicited adaptations include increased anxiety, enhanced tension and arousal, as well as activation of the hypothalamic–pituitary-adrenocortical (HPA) axis.

Both the sleep–wake regulatory system and the HPA axis are intertwined, as administration of CRH, adrenocorticotropic hormone (ACTH) and corticosteroids produce distinct effects upon changes in vigilance states, detected by means of sleep electroencephalogram (EEG) in humans and animals.4, 5, 6 All these studies monitored the sleep EEG after acute or chronic treatment. For example, in healthy humans, repeated intravenous (i.v.) injections of CRH7 and continuous i.v. infusion of ACTH8 produced reductions of slow-wave sleep (SWS), correspondingly non-rapid eye movement (non-REM) sleep in rodents. Likewise, intracerebroventricular (i.c.v.) administration of CRH to rats resulted in enhanced wakefulness and suppression of non-REM sleep.9, 10 I.c.v.-injected ACTH11 and prolonged systemic infusion of corticosteroids12 in rats also decreased non-REM and REM sleep. These results suggest that the activation of the HPA axis contributes to wake responses under stress exposure. However, it remained unclear whether all the stress hormones acted on sleep directly or indirectly together, or separately through feedback action on CRH. Further, central administration of high dosages of CRH would give only an indirect reflection of stress-evoked CRH secretion.

To circumvent these problems, we used conditional mouse mutants in which overexpression of different CRH dosages is restricted to the central nervous system (CNS) or in a more confined manner to the anterior forebrain, including limbic structures. These mice do not show overt behavioral or endocrine abnormalities, for example, weight loss or hypercortisolism, under resting conditions, but respond with increased active stress-coping behavior and corticosterone release under stress conditions.13 Here, we could show that the significant contribution of the brain region-specific CRH to sleep is an enhancement of REM sleep that is independent from its capacity of HPA activation. Furthermore, we showed that the effects of CRH on sleep–wake control are mediated through the CRH type 1 receptors (CRHR1), as the administration of a specific CRHR1 antagonist reversed elevated REM sleep in mice conditionally overexpressing CRH (CRH-COE) during recovery after sleep deprivation (SD). Finally, we propose that the CRH-COE mouse line would be an ideal animal model to investigate the effect of spatially confined CRH hyperactivity and also aid to validate drug candidates targeting the central CRH system.

Materials and methods

Animals

A detailed description of the generation and characterization of conditional CRH-overexpressing mice has been described elsewhere.13 Briefly, CNS-restricted overexpression of CRH (CRH-COE-Nes) was achieved by breeding of R26flopCrh/flopCrh (flop, floxed stop) mice to transgenic nestin (Nes)-Cre mice.14 For the forebrain-restricted overexpression of CRH in principal neurons (CRH-COE-Cam), R26flopCrh/flopCrh mice were crossed to transgenic Camk2a-Cre mice.15 In the F2 generation, we obtained R26+/+, R26flopCrh/flopCrh, R26+/flopCrh Nes-/Camk2a-Cre and R26flopCrh/flopCrh Nes-/Camk2a-Cre mice, which we will refer to as CRH-COEwt-Nes/-Cam, CRH-COEcon-Nes/-Cam, CRH-COEhet-Nes/-Cam and CRH-COEhom-Nes/-Cam, respectively. Genotyping was carried out by PCR using primers: ROSA-1, 5′-AAAGTCGCTCTGAGTTGTTAT-3′; ROSA-5, 5′-TAGAGCTGGTTCGTGGTGTG-3′; ROSA-6 5′-GCTGCATAAAACCCCAGATG-3′ and ROSA-7, 5′-GGGGAACTTCCTGACTAGGG-3′. Standard PCR conditions resulted in a 398-bp wild-type and a 646-bp mutant PCR products. Animals with a premature deletion of the floxed transcriptional terminator sequence were identified by the occurrence of a 505-bp PCR product and were excluded from the studies. The presence of Nes- or Camk2a-Cre was evaluated using primers CRE-F, 5′-GATCGCTGCCAGGATATACG-3′, CRE-R 5′-AATCGCCATCTTCCAGCAG-3′, CTSQ-up 5′-ACAAGGTCTGTGAATCATGC-3′ and CTSQ-dn 5′-TTACAATGTGGATTTTGTGGG-3′, resulting in a Cre-specific PCR product of 574 bp and a control PCR product of 1098 bp. CRH-COE-Nes mice were kept on a mixed 129S2/Sv × C57BL/6J × SJL, and CRH-COE-Cam mice on a mixed 129S2/Sv × C57BL/6J × CBA/J background, at the breeding facility of the Max Planck Institute of Psychiatry. Male littermates, weighing 24–30 g (10–14-week-old) were used for the experiments. Around the occasion for surgery, animals were housed individually in a sound-attenuated recording chamber maintained at a regulated ambient temperature of 22±1 °C on a 12-h light/dark cycle (lights on at 0900 hours). The animals had access to water and food ad libitum. All animal studies were conducted according to the guidance of the European Community Council Directive, and experimental protocols were approved by the local commission for the Care and Use of Laboratory Animals of the State Government of Bavaria, Germany.

Surgery

The mice were anaesthetized with an intraperitoneal injection of a ketamine–xylazine mixture (115 mg and 11.5 mg kg–1, respectively) and chronically implanted with EEG and electromyographic (EMG) electrodes for polysomnographic recordings. The implant consisted of four stainless steel screws (0.8 mm diameter) for EEG recordings that were placed through the skull epidur (coordinates, A 1.5 mm and 3 mm; L±1.7 mm each) and two gold wires inserted into the cervical portion of the trapezoid muscles for EMG recordings. All electrodes were soldered to a micro-socket affixed to the skull with dental acrylic resin. After surgery, the mice were allowed to spend ca. 10 days for recovery without cabling in the environment as mentioned above.

Sleep recordings and data processing

The lead wires of the EEG and EMG electrodes were connected to an electric swivel through a flexible tether. The weights of the swivel and tether were outbalanced through a mechanical device near to zero; thus the mice could move unrestrictedly and were acclimated for 3–4 days before the initiation of recording. EEG and EMG signals were amplified (10 000 × ), filtered (EEG 0.5–29 Hz, 48 dB per Oct.; EMG underwent root mean square rectification), and digitized by a high-speed analog-to-digital converter at a sampling rate of 64 Hz. Then the signals were processed by a PC equipped with a LabVIEW program, especially designed for sleep EEG analysis (National Instruments, SEA Köln, Germany). Polygraphic data were all stored on a computer and processed offline later with the LabVIEW-based acquisition program, in which a Fast Fourier Transform (FFT) algorithm served for power spectrum analysis of particular EEG frequency contents, that is, δ (0.5–5 Hz), θ (6–9 Hz), α (10–15 Hz) and β (16–29 Hz). Using the aid of the FFT algorithm, adapted from a report by Louis et al.,16 the spectral analysis was also undertaken to serve semiautomatic classification of the particular vigilance state as awake, non-REM sleep or REM sleep that were defined in 4-s epochs. Defined vigilance states were further confirmed visually and corrected if necessary. Summed power densities of slow-wave activity (SWA) during non-REM sleep were calculated between 0.5 and 4 Hz at a 0.5-Hz bin and normalized by total EEG power. Epochs containing artifacts were eliminated from power spectral analysis.

Baseline recordings were initiated nearly 2 weeks after the animals had received surgical operation, and 24-h spontaneous sleep–wake patterns during baseline were compared among the different genotypes. Then, 6-h SD was applied from the beginning of the onset of the light period (at 0900 hours, that is, Zeitgeber time 0, ZT0) by gentle handling. During the SD period, examiners paid careful attention to the mice by playing with cotton swabs or tissue papers and so on, not to touch their body directly. Meantime, polygraphical recordings were continuously made, and we were able to cut off 97.5% of non-REM sleep and 100% of REM sleep on an average. Over the SD paradigm, differences in recovery sleep were evaluated among the genotypes.

CRHR1 antagonist

DMP696, generously provided by Bristol-Myers Squibb, was administered orally 1 h before the end of the SD session as a suspension in 0.25% methylcellulose at the dose of 30 mg kg–1. The dose and the timing of administration were chosen according to an earlier report, in which DMP696 blocks stress-induced ACTH secretion.17 The same animals received vehicle only (0.25% methylcellulose in sterile water) as a control group on the other day at the same timing during SD. Drug volumes were 5 ml kg–1.

Analyses of plasma corticosterone

Baseline blood was withdrawn from the tail vein (ca. 20 μl) 5–6 days before performing SD with the same timing either equivalent to the end of 6-h SD (ZT6) or 6 h after SD (ZT12). On the day of SD, the same animals were killed at ZT6 or ZT12, and trunk blood was collected for further hormonal analyses. After collection, these blood samples were immediately separated into plasma and red blood cells by centrifugation for 15 min at 4000 c.p.m. at 4 °C. Plasma levels of corticosterone were measured using a radioimmunoassay (RIA) kit (MP Biomedicals, Orangeburg, NY, USA). The sensitivity of the corticosterone RIA kit is 25 ng ml–1. The intra-assay and inter-assay coefficients of variation were <12% for corticosterone.

In situ hybridization

The brain-specific overexpression of CRH in CRH-COE-Nes and CRH-COE-Cam mice was verified by quantitative in situ hybridization. Detailed procedures concerning in situ hybridization are provided in Supplementary Materials and Methods.

Statistical analysis

Time spent awake in non-REM and REM sleep was calculated in 1, 2, 12 or 24 h averages. Differences in sleep–wake patterns during baseline and recovery after SD were compared among different genotypes and statistically analyzed using either nonparametric two-way analysis of variance (ANOVA) (for 1 or 2 h averages) or one-way ANOVA (for 12 or 24 h averages). The effects of the CRHR1 antagonist on recovery sleep were evaluated in comparison between vehicle- and DMP696-treated days. The effects of SD on the levels of corticosterone were compared with the basal levels on a day without SD using nonparametric one-way ANOVA. If the F values reached statistical significance, the Student–Newman–Keuls multiple comparison test was further applied for post hoc analysis. A level of P<0.05 was considered significant.

Results

CNS-specific overexpression of CRH

Nes-Cre- and Camk2a-Cre-mediated excision of the transcriptional terminator resulted in overexpression of CRH from the R26 promotor and co-activation of the LacZ reporter gene (Supplementary Figure 1). The CNS- and forebrain-restricted overexpression of CRH in CRH-COE-Nes and CRH-COE-Cam mice, respectively, was confirmed by in situ hybridization and X-Gal staining (Supplementary Figures 1B–H). As described earlier,13 only endogenous CRH expression was detected in the CNS of CRH-COEwt-Nes/-Cam and CRH-COEcon-Nes/-Cam mice (Supplementary Figures 1B, C; data not shown). In CRH-COEhet- and CRH-COEhom-Nes mice, expression of exogenous CRH, as well as of LacZ, was detected throughout the brain and spinal cord, reflecting the CNS-restricted expression of Nes-Cre and the ubiquitous activity of the R26 locus (Supplementary Figures 1F–H). In CRH-COEhet- and CRH-COEhom-Cam mice, expression of exogenous CRH was detected in the principal neurons of the limbic system, reflecting the predominantly forebrain-specific expression of Camk2a-Cre (Supplementary Figures 1D, E). Consistently higher CRH mRNA levels were detected in the brain sections of CRH-COEhom-Nes/-Cam mice (Supplementary Figures 1E, G) compared with CRH-COEhet-Nes/-Cam animals (Supplementary Figures 1D, F), reflecting the gene dosage effect because of expression of exogenous CRH from a single or both R26 alleles.

Sleep alteration in CNS-restricted CRH-COE-Nes mice

Spontaneous sleep–wake patterns were monitored, and the baseline changes in their circadian dynamics were compared in CRH-COEwt, con, het, hom-Nes littermates. All genotypes presented circadian-based variation for each vigilance state, showing a typical nocturnal sleep–wake behavior (Figure 1). CRH-COEcon-Nes mice showed identical time-course changes in waking, non-REM sleep and REM sleep with those seen in CRH-COEwt-Nes mice (Figure 1, left). However, in CRH-COEhet-Nes and CRH-COEhom-Nes mice the amount and distribution of sleep and wakefulness differed from wild-type and control CRH-COE-Nes mice (Figure 1, Table 1). CRH-COEhet-Nes mice had elevated wakefulness during the light period (17.1% more than CRH-COEcon-Nes mice, P<0.05), whereas non-REM sleep was diminished in return (10.3% less than CRH-COEcon-Nes mice, P<0.05) (Figure 1, right and Table 1). Although an increase in waking time during the light period was not statistically evident (7.9% more than CRH-COEcon-Nes mice, P>0.05), CRH-COEhom-Nes showed significantly reduced non-REM sleep around the same period as CRH-COEhet-Nes animals (8.8% less than CRH-COEcon-Nes mice, P<0.05). On the contrary, REM sleep was markedly enhanced during light and dark periods regarding bihourly distribution (Figure 1, right), whereas the cumulative amount of REM sleep in either the light period or total 24-h recording time did not reach the significance level (19.8 and 29.4% more than CRH-COEcon-Nes mice, respectively, P>0.05, Table 1). While the level of REM sleep was upregulated in the dark period (52.4% more than CRH-COEcon-Nes mice, P<0.05), the amount of wakefulness was attenuated (5.4% less than CRH-COEcon-Nes mice, P<0.05, Figure 1, right). Although CRH-COEhet-Nes mice did not show any significant increases in REM sleep, the amount of REM sleep occupying total sleep time tended to be higher than in wild-type and control CRH-COE-Nes mice (Table 1). Across the four genotypes such REM sleep ratio was highest in CRH-COEhom-Nes mice (P<0.05), in which disparities in the ratios between the light and dark period found in control mice disappeared.

Figure 1
figure 1

Time-course changes in sleep–wake patterns of corticotropin-releasing hormone (CRH)-COE-Nes mice. Data points ±s.e.m. indicate 2 h averages in time spent in waking, non-rapid eye movement (non-REM) sleep (nonREMS) and REM sleep (REMS) during a baseline recording day: open circles, CRH-COEwt-Nes (wt), n=24; hatched area, CRH-COEcon-Nes (Nes con), n=20; gray circles with dotted line, CRH-COEhet-Nes (Nes het), n=20; black circles with solid line, CRH-COEhom-Nes (Nes hom), n=21. Horizontal open bar, light period; horizontal filled bar, dark period. Two-way analysis of variance (ANOVA) among four genotypes; for waking during the light period F(3, 246)=3.13, P<0.05, during the dark period F(3, 246)=3.01, P<0.05; for non-REM sleep during the light period F(3, 246)=5.14, P<0.01, during the dark period F(3, 246)=1.71, n.s., for REM sleep during the light period F(3, 246)=4.32, P<0.01, during the dark period F(3, 246)=9.27, P<0.001. No statistical significances were found in vigilance between wild-type and control mice (left panels). Heterozygous and homozygous mice showed significant differences in between or compared with con mice, indicated by its respective line and * (right panels).

Table 1 Sleep time during the baseline recording

SD triggers more REM sleep during recovery in CRH-COE-Nes mice

Six-h SD made a significant effect on the disparity of sleep phenotypes in CRH-COE-Nes mice that had already been seen during baseline recording. The comparison of sleep patterns after SD showed that CRH-COEhom-Nes mice spent less time in non-REM sleep than CRH-COEcon-Nes animals (9.5% less than control during ZT6–12, P<0.05, Figure 2). Although CRH-COEhet-Nes mice showed a lower amount of spontaneous non-REM sleep as mentioned earlier, the rebound of non-REM sleep after SD was similar to that seen in CRH-COEcon-Nes mice. In contrast, REM sleep changes were dynamic; CRH-COEhet-Nes and CRH-COEhom-Nes mice displayed highly elevated REM sleep in response to SD (44.9% (het) and 39.4% (hom) more than controls during ZT6–12, P<0.05, Figure 2). During the dark period, REM sleep in CRH-COEhom-Nes mice remained elevated, but increased REM sleep compared with other genotypes had been observed already during baseline recording. Therefore, changes in nocturnal sleep time were not really affected by SD, and the rebound in recovery sleep triggered by SD was mostly detected during post-SD hours 6–12 (ZT6–12). Although the distribution of that rebound sleep differed in a genotype-dependent manner, the peak appearance of rebound sleep was the same in both cases in non-REM sleep (between ZT8–10) and REM sleep (between ZT10–12).

Figure 2
figure 2

Changes in sleep patterns after sleep deprivation in corticotropin-releasing hormone (CRH)-COE-Nes mice. Data points ±s.e.m. indicate 2 h averages in time spent in non-rapid eye movement (non-REM) sleep (nonREMS) and REM sleep (REMS). Sleep deprivation (SD) was performed for 6 h from the beginning of the onset of the light period (Zeitgeber time 0, ZT0), indicated by a gray bar. Hatched area, CRH-COEcon-Nes (Nes con), n=14; gray circles with dotted line, CRH-COEhet-Nes (Nes het), n=12; black circles with solid line, CRH-COEhom-Nes (Nes hom), n=14. Horizontal open bar, light period; horizontal filled bar, dark period. Two-way analysis of variance among three genotypes; for non-REM sleep during post-SD hours 6–12 (ZT6–12) in the light period F(2, 111)=4.13, P<0.05, for REM sleep during ZT6–12 in the light period F(2, 111)=9.55, P<0.001, during the 12-h dark period F(2, 222)=4.16, P<0.05. No statistical significances were found in recovery sleep between wild-type and control mice (data not shown). Heterozygous and/or homozygous mice showed significant differences compared with con mice, indicated by its respective line and *.

The forebrain-restricted CRH-COE-Cam mice also show enhanced REM sleep

Spontaneous sleep–wake patterns between wild-type and control CRH-COE-Nes mice were indistinguishable. Therefore, wild-type mice were omitted when monitoring sleep EEGs from COE-Cam mice. As shown in Figure 3, CRH-COEcon, het, hom-Cam mice also showed nocturnal sleep–wake activities. During the baseline recording, time-course changes in non-REM sleep were not significantly different from all three genotypes in both light and dark periods (Figure 3). In contrast, elevated appearance of REM sleep was demonstrated over the bihourly distribution in CRH-COEhom-Cam mice. Significant differences in REM sleep amounts were found between CRH-COEhom-Cam and CRH-COEcon,het-Cam mice during the light period, and CRH-COEcon -Cam mice during the dark period (Figure 3). However, the increased level of REM sleep failed to mark significance when calculated into either 12-h (21.6% more during the light period and 46.5% more during the dark period than CRH-COEcon-Cam mice, P>0.05) or 24-h (28.3% more than CRH-COEcon-Cam mice, P>0.05) cumulative summary (Table 1). REM sleep ratios versus total sleep tended to show higher values in CRH-COEhet,hom-Cam mice than CRH-COEcon-Cam mice, but the differences were not as large as in CRH-COE-Nes mice (Table 1).

Figure 3
figure 3

Sleep distributions in corticotropin-releasing hormone (CRH)-COE-Cam mice during baseline and after sleep deprivation. Data points±s.e.m. indicate 2 h averages in time spent in non-rapid eye movement (non-REM) sleep (nonREMS) and REM sleep (REMS). Sleep deprivation (SD) was performed for 6 h from the onset of the light period (Zeitgeber time 0, ZT0), indicated by a gray bar, following the baseline recording. Hatched area, CRH-COEcon-Cam (Cam con), n=9; gray squares with dotted line, CRH-COEhet-Cam (Cam het), n=10; black squares with solid line, CRH-COEhom-Cam (Cam hom), n=11. Horizontal open bar, light period; horizontal filled bar, dark period. Two-way analysis of variance among three genotypes; on baseline day for REM sleep during the light period F(2, 162)=4.47, P<0.05, during the dark period F(2, 162)=3.34, P<0.05; on SD day for REM sleep during ZT6–12 in the light period F(2, 81)=7.94, P<0.001, during the 12-h dark period F(2, 162)=3.33, P<0.05. No statistical significances were found in respect to non-REM sleep on both days across all genotypes. Heterozygous and/or homozygous mice showed significant differences compared with con mice, indicated by its respective line and *.

After baseline recording, all CRH-COE-Cam mice were subjected to 6-h SD in succession (Figure 3), and their recovery sleep was compared across each genotype. Unlike in CRH-COE-Nes mice, non-REM sleep responses after SD in CRH-COE-Cam mice were similar in all genotypes. The peak appearance of non-REM sleep was observed between ZT6–8, which occurred earlier in CRH-COE-Cam mice than in CRH-COE-Nes mice in response to SD. On the contrary, elevated REM sleep after SD appeared in both CRH-COEhet,hom-Cam mice similar to CRH-COEhet,hom-Nes mice. Significantly increased levels of REM sleep were shown throughout the post-SD hours 6–24 (ZT6–24), in which CRH-COEhet,hom -Cam mice spent 26.0 and 33.9%, respectively, more than CRH-COEcon-Cam mice during the entire SD day (Figure 3). As elevated REM sleep in CRH-COEhom-Cam mice was already observed on the baseline day, the level of REM sleep after SD in CRH-COEhom-Cam mice was not particularly enhanced by SD. However, in the case of in CRH-COEhet-Cam mice, SD triggered REM sleep enhancement. The recovery of REM sleep reached the peak level at ZT8–10 in CRH-COEhet-Cam mice, but CRH-COEcon,hom-Cam mice showed most elevated REM sleep between ZT10–11.

The HPA axis is intact in both CRH-COE-Nes and CRH-COE-Cam mice

In a naive group of animals, plasma levels of corticosterone were compared before and after SD to determine whether sleep time loss affects HPA activity. On the day of SD, the trunk blood was taken immediately after the end of SD (ZT6) and 6 h later (ZT12). Beforehand, the baseline blood was collected at ZT6 and ZT12. No differences in basal levels of plasma corticosterone were found across all genotypes at neither ZT6 nor ZT12 in both CRH-COE-Nes and CRH-COE-Cam mice, as we reported earlier (Figure 4, upper panels).13 As it is known that the corticosterone levels naturally increase toward the dark period, the levels of plasma corticosterone at ZT12 were higher than those at ZT6 in all genotypes of CRH-COE-Nes and CRH-COE-Cam mice, although CRH-COEhet,hom-Cam mice did not show statistical difference. On the day of SD, plasma levels of corticosterone at ZT6 and ZT12 did not differ among genotypes as baseline. However, increases in the plasma corticosterone levels after SD at ZT6 were significantly greater in control mice than in the other mice that had elevated the brain CRH concentrations, that is, CRH-COEwt-Nes (3.7 times more, P<0.01) and CRH-COEcon-Nes mice (3.4 times more, P<0.01) versus CRH-COEhet-Nes (2.8 times more, P<0.05) and CRH-COEhom-Nes mice (2.0 times more, P<0.05, Figure 4, left); CRH-COEcon-Cam mice (3.2 times more, P<0.01) versus CRH-COEhet-Cam (1.6 times more, P>0.05) and CRH-COEhom-Cam mice (1.5 times more, P>0.05, Figure 4, right).

Figure 4
figure 4

Effects of sleep deprivation (SD) on plasma levels of corticosterone in corticotropin-releasing hormone (CRH)-COE-Nes and CRH-COE-Cam mice. Height±s.e.m. of columns indicates quantities of plasma corticosterone in the blood samples taken at Zeitgeber time (ZT)6 and 12 separately on baseline day and the day of SD from the same animals. White, CRH-COEwt-Nes (wt); light gray, CRH-COEcon-Nes or CRH-COEcon-Cam (con); dark gray, CRH-COEhet-Nes or CRH-COEhet-Cam (het); black, CRH-COEhom-Nes or CRH-COEhom-Cam (hom). Varied numbers of samples in parentheses were due to technical reasons. * indicates statistical differences in the values during baseline between ZT6 and ZT12, compared with each respective genotype (P<0.05). * denotes the statistical significance in elevated levels of plasma corticosterone after SD, compared with the respective baseline (*P<0.05, **P<0.01).

Antagonizing CRHR1 normalizes enhanced REM sleep after SD in CRH-COE-Nes mice

To examine whether overproduced CRH signaling through CRHR1 is responsible for sleep alterations, especially increases in REM sleep occurring after SD, we tested a CRHR1 antagonist, DMP696, during SD and subsequently compared sleep patterns of DMP696- and vehicle-treated animals. In CRH-COEwt-Nes mice, DMP696 did not exert any effects on recovery sleep. However, in CRH-COEcon-Nes mice, DMP696 treatment affected the hourly distribution of REM sleep, but not of non-REM sleep (Figure 5), showing a slight REM sleep attenuating effect of the antagonist (Table 2). Such normalizing effects on sleep were seen more clearly in heterozygous and homozygous CRH-COE-Nes mice. DMP696 dramatically reduced SD-elicited REM sleep enhancement in CRH-COEhet-Nes and CRH-COEhom-Nes mice. The level of hourly non-REM sleep remained significantly elevated in both CRH-COEhet-Nes and CRH-COEhom-Nes mice under DMP696 (Figure 5). After DMP696 treatment, differences in REM sleep ratios among the four genotypes were smaller than after vehicle treatment, indicating that antagonizing CRHR1 normalized an imbalance of REM sleep occurrence in CRH-COE-Nes mice (Table 2).

Figure 5
figure 5

Effects of a corticotropin-releasing hormone receptor type 1 (CRHR1) antagonist, DMP696, on recovery sleep after sleep deprivation (SD) in CRH-COE-Nes mice. Data points ±s.e.m. indicate 1 h averages in time spent in non-rapid eye movement (non-REM) sleep (nonREMS) and REM sleep (REMS) during 7 h after 6-h SD initiated at Zeitgeber time (ZT)0. Animals received either vehicle or DMP696 per os at ZT5, at 1 h before the end of SD. Open and filled symbols indicate sleep changes after vehicle and antagonist treatment, respectively. Shaded area indicates the dark period. Numbers in brackets represent the sample size. Two-way analysis of variance for treatment effect between each genotype; CRH-COEcon-Nes for REM sleep F(1, 132)=4.55, P<0.05; CRH-COEhet-Nes for non-REM sleep F(1, 120)=5.68, P<0.05, for REM sleep F(1, 120)=8.19, P<0.01; CRH-COEhom-Nes for non-REM sleep F(1, 132)=5.90, P<0.05, for REM sleep F(1, 132)=8.62, P<0.01. * denotes statistical significance in treatment (P<0.05).

Table 2 Effects of CRH receptor type 1 antagonist on recovery sleep after 6-h sleep deprivation

CRH overexpression affects slow-wave activity

The amplitude or power of SWA expresses the depth of non-REM sleep, indicating a reflection of accumulated sleep demand as explained in the two-process model.18 It is well documented that increased power spectra of SWA are detected during non-REM sleep after prolonged wakefulness such as SD.19 In all CRH-COE-Nes mice, the magnitude of SWA was higher at the beginning than at the end of the light period during baseline and reached the highest value after termination of SD (Supplementary Figure 2). However, CRH-COEhet-Nes mice at baseline showed a relatively blunted distribution of SWA and its levels were lowest when compared with those of the other genotypes (Supplementary Figure 2, P<0.01), whereas effects of SD on elevated levels of SWA were not distinguishable across all the three genotypes. During the dark period, CRH-COEhet, hom-Nes mice showed lower power spectrum compared with CRH-COEcon-Nes mice, but the following night after SD, the power between the three genotypes was not significantly different (Supplementary Figure 2). With the treatment of DMP696, elevated SWA after SD was not significantly affected in all genotypes, and changes in the levels of SWA power stayed similar as seen on the day without treatment (data not shown).

Discussion

Conditional transgenic mouse lines overexpressing CRH in the brain and specific areas of the brain allowed us to unravel the role of CRH in sleep–wake regulation. Earlier attempts were hampered by interference of the peripheral stress hormones that also affect sleep. For example, central administration of CRH to rats, which elicits increased plasma ACTH and corticosterone concentrations, affects sleep directly or even through interactions with immunomodulators.9, 10, 20 Also, conventional CRH-overexpressing mice hypersecrete corticosterone21 and develop a Cushing-like phenotype,22 thus limiting their usefulness for studies of sleep physiology. Finally, CRH receptor antagonists often failed to provide further insight into the role of CRH in sleep,10, 23, 24, 25 as CRH is secreted in pathophysiologically relevant amounts only if homeostasis is disturbed, rendering CRH receptor antagonists under resting conditions ineffective.

Many complex mental diseases, including depression and anxiety disorders, can be initiated by inadequate adaptation to stress.26 Specifically, prolonged central secretion of CRH is believed to account for a number of signs and symptoms characterizing these disorders.27, 28 Among these symptoms are manifold sleep disturbances, and polysomnographic recordings showed disinhibited REM sleep and a decrease of SWS.29, 30 According to our transgenic mouse model, CRH accounts for these changes in sleep architecture. Both CRH-COEhom-Nes and -Cam mice exhibited constantly elevated REM-sleep levels. Heterozygous animals of both mouse lines, which have only moderately increased brain CRH levels in respective brain regions, showed similarly elevated REM sleep in response to forced awakening during recovery after SD.

As reported by Lu et al.,13 our conditional CRH overexpressing mice, that is, heterozygous and homozygous CRH-COE-Nes mice in which the entire brain is exposed to an overexpression of CRH, show unaffected plasma ACTH and corticosterone concentrations in the morning as well as in the evening. Accordingly, we failed to observe significant differences in those stress hormone levels between different genotypes at baseline and even after SD, although restrained stress elicits the stress hormone release in the CRH-COEhet,hom-Nes mice compared with those in control littermates.13 CRH-COE mice do not seem to recognize sleep loss as a stressor, and undisturbed HPA axis activity in CRH-COE-Nes and -Cam mice implies that overexpressed CRH acts only centrally, not provoking systemic endocrine activity reflected by plasma ACTH and corticosterone concentrations. Thus, this genetic mouse model is a suitable tool to understand the mechanism and function of CRH within the brain.

The sleep phenotype of enhanced REM sleep is also present when CRH overexpression is restricted more specifically within the forebrain. In the CRH-COE-Cam mice, CRH is overexpressed only in the limited brain areas including limbic structures, such as the amygdala, implicated in emotional responses.31 It is well known that emotions and REM sleep are closely related. There is a major projection of CRH pathways from the amygdala to pontine areas,32, 33 where REM-on cells are dominant in the cholinergic system.34 CRH is capable of activating these areas to induce muscle atonia that is one of the characteristics accompanying REM sleep.35 When the amygdala receives either electric stimulation or cholinergic activation, prolonged REM sleep occurs.36, 37 Further, CRH infusion into the central nucleus of the amygdala (CeA) induces c-Fos expression in the pontine cholinergic neurons.38 Accumulated evidence would support that a mechanism of enhanced REM sleep in CRH-COE-Cam mice underlies amygdaloid CRH and pontine cholinergic interaction. As the amygdaloid circuit plays an important role in the regulation of REM sleep,39, 40, 41 stress-induced CRH release from the limbic system plausibly contributes to REM sleep alteration through this.42

Unexpectedly, CRH-COE mice did not show a stereotype of insomnia. Through clinical observation and data from animal experiments, we suspected that elevated levels of CRH in the brain would have suppressed non-REM sleep or increased waking time.6, 9, 10 In contrast, after SD the orally given CRHR1 antagonist increased non-REM sleep in both heterozygous and homozygous CRH-COE-Nes mice, which implies that under stressful conditions, such as SD, the brain CRH is also involved in non-REM sleep disturbances through CRHR1.43 There is no remarkable effect of the CRHR1 antagonist in control animals, in which central CRH excess is limited, and thus rendering receptor blockade of no avail. From these observations, we conclude that the CRHR1 antagonist treatment could be of use to restore impaired sleep patterns only if CRH stimulation occurs in a pathophysiological range, such as severe acute or chronic stress, rather than under normal circumstances.44 In this study, the CRHR1 antagonist affected REM but not non-REM sleep response to SD in CRH-COEcon-Nes mice. Apparently, REM sleep is a fragile state and receives a more dominant influence than non-REM sleep when CRH is excessively produced in particular parts of the brain.23, 45 The results from the CRHR1 antagonist treatment in this model underscore potential effects of central CRH on sleep through CRHR1, as CRH induces REM sleep and attenuates non-REM sleep.20

The CRH-COE mouse lines can be regarded as an animal model that allows to study central hypersecretion of CRH, which is hypothesized to be a key factor in causality of depression.28 The genetic engineering strategy used here allows stable and chronic overexpression of CRH in the brain,13 which makes us capable of experimentally mimicking some aspects observed in the clinical situation.46, 47, 48 In this model, the HPA axis is undisturbed under basal conditions, which does not apply to the cases of stress models accomplished from selectively bred or genetically vulnerable strains.49 Also patients who are recovered from depression but still carry vulnerability to further disease episodes have near normal HPA axis activity though symptom-free.26 On the other hand, central CRH hypersecretion is not necessarily reflected by the peripheral stress hormone excess, as clinical response to CRHR1 antagonists in depression is not straightforwardly predicted by the peripheral stress hormone assessments.50 Even in the absence of elevated HPA activity, however, it is noteworthy that CRH-COEhom-Nes and -Cam mice display increased spontaneous REM sleep as most other animal models of depression do.51, 52, 53, 54, 55 It has been always difficult to dissociate the effects of each separate HPA hormone on sleep and to offer a mechanism how depression or stress promotes REM sleep. Exogenous administration of an unphysiologically high CRH dose triggers hyperarousal, leaving it unclear by which mechanism REM sleep is suppressed.43, 56 So far, there are only few studies that have reported facets of CRH-mediating REM sleep promotion.20, 57, 58 However, certain stressors, such as immobilization, that is, an inescapable situation, are often reported to elicit REM sleep,59, 60, 61 which suggests an involvement of the CRH system in REM sleep regulation.23 These data yield a supposition that an acute HPA activation stimulates awakening, but its chronic activation or protracted recovery process from the acute hyperactivity produces a sleep phenotype resembling that seen in depressed patients. Our results suggest that a chronic site-specific overexpression of CRH induces REM sleep enhancement. This interpretation is not contradictory to that of Pawlyk et al.62 who microinjected CRH into the CeA of rats and observed a decrease in REM sleep. Notably not all the brain areas where our mouse mutants overexpress CRH are necessarily evoking the same effects on REM sleep. Also, CRH expression is differentially regulated in different regions of the limbic system. The herein demonstrated enhancement of REM sleep could be viewed as an endophenotype of elevated CRH in the forebrain, including limbic structures, which may correspond to REM sleep alteration in depressed patients63, 64 or increased REM density as a clinical biomarker among individuals at high risk for affective disorders.65

This study is the first report showing that the brain-derived CRH enhances REM sleep through the activation of CRHR1. This finding may indicate that CRHR1 antagonists are suited to restore impaired sleep and stress-related sleep disorders. Moreover, our site-specific CRH-COE mouse model suggests that CRH originating from the forebrain also contributes to REM sleep increase in patients with major depression. We emphasize that altered appearance of REM sleep is likely to be a premorbid sign of hypersecreted central CRH and may serve as biomarker predicting an upcoming clinical condition, which can be prevented by CRHR1 antagonists.

Conflict of interest

The authors declare no conflict of interest.