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. 2016 Jul 6;6:29386. doi: 10.1038/srep29386

Rev-erbα in the brain is essential for circadian food entrainment

Julien Delezie 1,*, Stéphanie Dumont 1, Cristina Sandu 1, Sophie Reibel 2, Paul Pevet 1, Etienne Challet 1,a
PMCID: PMC4933951  PMID: 27380954

Abstract

Foraging is costly in terms of time and energy. An endogenous food-entrainable system allows anticipation of predictable changes of food resources in nature. Yet the molecular mechanism that controls food anticipation in mammals remains elusive. Here we report that deletion of the clock component Rev-erbα impairs food entrainment in mice. Rev-erbα global knockout (GKO) mice subjected to restricted feeding showed reduced elevations of locomotor activity and body temperature prior to mealtime, regardless of the lighting conditions. The failure to properly anticipate food arrival was accompanied by a lack of phase-adjustment to mealtime of the clock protein PERIOD2 in the cerebellum, and by diminished expression of phosphorylated ERK 1/2 (p-ERK) during mealtime in the mediobasal hypothalamus and cerebellum. Furthermore, brain-specific knockout (BKO) mice for Rev-erbα display a defective suprachiasmatic clock, as evidenced by blunted daily activity under a light-dark cycle, altered free-running rhythm in constant darkness and impaired clock gene expression. Notably, brain deletion of Rev-erbα totally prevented food-anticipatory behaviour and thermogenesis. In response to restricted feeding, brain deletion of Rev-erbα impaired changes in clock gene expression in the hippocampus and cerebellum, but not in the liver. Our findings indicate that Rev-erbα is required for neural network-based prediction of food availability.

Light and food are the main synchronizers of the circadian multi-oscillator system. The suprachiasmatic nucleus (SCN), the master clock located in the anterior hypothalamus, is principally reset by light1. The SCN molecular machinery is based on transcription/translation feedback loops of clock gene/protein expression, including BMAL1 and CLOCK and their transcriptional regulators, REV-ERBα/β and RORα/β/γ2,3,4. Secondary oscillators, whose molecular mechanisms are close to the SCN, are also present in multiple brain regions and peripheral tissues. Timing of these circadian oscillations is coordinated by the SCN via nervous and humoral signals1. Feeding time can however produce phase-shifts of circadian oscillations in different organs and brain regions, independently of the SCN clock5,6,7,8.

When food access is limited to a narrow daily temporal window, animals can predict feeding time and accordingly change their activity pattern. They develop food-seeking behaviours in anticipation of mealtime, concomitant with physiological and hormonal activations9,10,11. Food-anticipatory activity (FAA) has the properties of a clock-controlled process and persists after SCN ablation12,13. Contrary to the SCN, the food-entrainable entity controlling FAA may not be a unique structure but rather a dispersed network of oscillators, in particular at the central level10,14,15,16,17,18,19.

Yet the involvement of a clock-gene dependent mechanism for food entrainment is not fully characterized, in that not all studies have agreed on the contribution of clock genes to FAA10,20,21,22,23. Here, we evaluated the role of Rev-erbα, a gear of the circadian clockwork and a regulator of glucose and lipid metabolism4,24,25,26,27,28,29,30, in the ability of mice to predict feeding time. We hypothesized that brain expression of REV-ERBα may be required to link circadian feeding cues to the central regulation of behaviour and physiology. We show that both global and brain-specific deletions of Rev-erbα profoundly altered the expression of food-anticipatory components. This study gives evidence that Rev-erbα in the central nervous system is essential to shape the 24-hour pattern of activity in conditions of limited food access.

Results

Food anticipation is reduced in global Rev-erbα KO mice in light-dark conditions

No significant differences were found between genotypes fed ad libitum regarding body mass and food intake, 24-h body temperature rhythm and daily general locomotor activity (Fig. 1B, as previously shown in ref. 30). We however observed that global deletion of Rev-erbα tended to reduce spontaneous wheel-running activity (10399 ± 2117 vs. 7174 ± 3184 revolutions/24 h in WT and GKO mice, respectively; t(13) = 0.9, p = 0.4) as already found in31. In particular, heterogeneity in wheel-running behaviour ranged from robust rhythms to fragmented profiles, we thus excluded this parameter in most of the results presented thereafter.

Figure 1. Food-anticipatory components are reduced in food-restricted Rev-erbα GKO mice exposed to a light-dark cycle.

Figure 1

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(A) Representative double-plotted actograms (left) and thermograms (right) of a wild-type (WT) mouse (upper panel) and Rev-erbα global knock-out (GKO) mouse (lower panel) under LD conditions with food provided ad libitum and then restricted to 6 h per day (grey box, food was provided from Zeitgeber (ZT) 6 to ZT12). (B) Normalized activity profiles and body temperature raw data representing the average of 10 days during restricted feeding conditions. Daytime and nighttime are indicated by white and black bars, respectively. The period of food access during restricted feeding is represented by the grey rectangle. Data for ZT0 are double-plotted at ZT24. (C) Percent of food-anticipatory (FAA) over total daily activity from 4 h to 1 h before mealtime (left) and rise in body temperature in anticipation (right). *p < 0.05 for GKO vs. WT animals (pairwise comparisons using Tukey HSD post-hoc test after 2-way ANOVA).

To test whether Rev-erbα deletion changes the ability to anticipate mealtime, global knockout (GKO) and wild-type (WT) mice were subjected to 6-h restricted feeding. As expected, WT mice expressed a strong FAA 1 h before meal access, illustrated by significant increase of general activity at that time compared to the other time-points (Effect of ZT: F(3,59) = 20.1, p < 0.001; [Genotype x ZT] interaction: F(3,59) = 5.2, p < 0.01 Fig. 1A–C). In contrast, GKO mice did not show a significant increase of general activity in anticipation of mealtime. The amount of general activity in GKO mice 1 h before meal access was reduced compared to WT mice (Tukey HSD post-hoc test, p < 0.05; Fig. 1A–C). Moreover, the sharp preprandial rise in body temperature seen in WT animals was not observed in GKO mice ([Genotype x ZT] interaction: F(3,59) = 2.8, p < 0.05; Fig. 1B,C). Of note, both genotypes showed a similar body mass loss after one week of restricted feeding (WT = −8.1 ± 2.1 vs. GKO = −9.5 ± 3.1%; t(13) = 0.3, p = 0.7.). Lastly, restricted feeding induced a 6-h phase shift of clock-related mRNA expression in the liver of WT animals, in line with previous studies5,18,32. Food-induced phase-adjustment of liver oscillations however also occurred in GKO mice in spite of up-regulated Clock and Bmal1 expression (Fig. 2A–C). Conversely, global deletion of Rev-erbα abolished the anticipatory peak of corticosterone ([Genotype x ZT] interaction: F(3,38) = 4.1 p = 0.01; Fig. 2D), considered as a food-anticipatory component33,34. Together, these findings indicate that behavioural and physiological components of meal anticipation are clearly blunted in GKO mice under a light-dark cycle.

Figure 2. Alterations in hepatic expression of clock genes and plasma corticosterone in food-restricted Rev-erbα GKO mice.

Figure 2

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Expression of Bmal1 (A), Clock (B), Per2 (C) under conditions of food ad libitum (left panel) and restricted feeding (right panel). (D) Plasma corticosterone levels in both food ad libitum (left) and restricted feeding conditions (right). Daytime and nighttime are indicated by white and black rectangles, respectively, on the X axis. Food access during restricted feeding is depicted by a grey rectangle. Data for ZT0 are double-plotted. *p < 0.05 for GKO vs. WT animals at a given time-point as determined by 2-way ANOVA and Tukey HSD post-hoc test; ap < 0.05 for restricted feeding vs. food ad libitum at a given time-point in wild-type (WT) mice (2-way ANOVA and Tukey post-hoc test); bp < 0.05 for restricted feeding vs. food ad libitum at a given time-point in Rev-erbα global knock-out (GKO) mice (2-way ANOVA and Tukey post-hoc test). a.u., arbitrary units.

FAA in global Rev-erbα KO mice is altered in constant darkness

To avoid a potential masking effect of light known to attenuate activity in nocturnal animals35, which can account for the reduced food anticipation in Rev-erbα-deficient mice, we exposed WT and GKO mice to constant dark (DD) conditions or to skeleton photoperiod. In DD conditions with animals fed ad libitum, the global deletion of Rev-erbα shortened the free-running period (WT = 24.1 ± 0.1 h vs. GKO = 23.2 ± 0.1 h; t(9) = 13.9, p < 0.001; as in ref. 4). Furthermore, mealtime was shifted (i.e., 6-h phase-delayed) to investigate how FAA reappears at a new feeding time. In both DD conditions (with or without shift of mealtime) and skeleton photoperiod, we did not detect more FAA in GKO mice than in light-dark (LD) conditions (Figs 3A,B and 4A,B).

Figure 3. Diminished food anticipation in food-restricted Rev-erbα GKO mice exposed to constant darkness.

Figure 3

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(A) Representative double-plotted actograms (left) and thermograms (right) of a wild-type (WT) mouse (upper panels) and Rev-erbα global knock-out (GKO) mouse (lower panels) under conditions of constant darkness (DD) with food provided ad libitum and then restricted to 6 h per day (grey box, food was provided from 02:00 p.m. to 08:00 p.m.). Constant darkness is indicated by a black bar on X-axis. (B) Percent of food-anticipatory (FAA) over total daily activity (average of 5 days) from 4 h before mealtime and 2 h after mealtime (left) and rise in body temperature in anticipation (right). *p < 0.05 for GKO vs. WT animals (pairwise comparisons using Tukey HSD post-hoc test after 2-way ANOVA).

Figure 4. Reduced food-anticipatory activity of Rev-erbα GKO mice in constant darkness following shift of mealtime, and in skeleton photoperiod.

Figure 4

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(A) Double-plotted actograms of wheel-running activity from two wild-type (WT) mice (upper panel) and two Rev-erbα global knock-out (GKO) mice (lower panel). Animals are in constant dark conditions (DD, indicated by the above dark bar). A few days in ad libitum (LD) feeding conditions are illustrated before transfer to DD. During restricted feeding, food access is indicated by the grey rectangle. After a first period of food restriction at a specific circadian phase, mealtime was shifted (i.e., 6-h phase-delayed). (B) Double-plotted actograms of wheel-running activity from two WT mice (upper panel) and two GKO mice (lower panel) exposed to skeleton photoperiod. Note that the 12-h light and dark phases are represented respectively by white and black bars above the actograms, and that the two 1-h light pulses are indicated by yellow lines. A few days of ad libitum (AL) feeding conditions is illustrated before food restriction (RF, grey rectangle).

Hence, regardless of the lighting conditions, the time of the day when food was provided, global deletion of Rev-erbα markedly reduces FAA.

Feeding time differently affects PER2 and p-ERK expressions in the cerebellum of global Rev-erbα KO mice

A number of extra-SCN oscillators sensitive to feeding cues could be part of the food-entrainable network8,14,36. We therefore investigated PER2 expression and used the phosphorylated form of the Extracellular signal Regulated Kinases I/II (p-ERK) as a marker of neuronal activation in response to restricted feeding in hypothalamic nuclei, including dorsomedial (DMH), arcuate (ARC), suprachiasmatic (SCN), ventromedial (VMH) and paraventricular (PVN) nuclei, and the cerebellum. When food was provided ad libitum, PER2 expression was rhythmic in all and most evaluated structures in WT and GKO mice, respectively (Supplemental Table S1). Similar timing was found in the SCN in both genotypes. There was a trend for phase-advanced peak in the ARC and PVN of GKO mice (and possibly also in VMH and cerebellum) compared to controls (Fig. 5A–C; Supplemental Table S1). Expression of p-ERK was rhythmic in the cerebellum with close timing in GKO and WT mice fed ad libitum (Supplemental Table S2). In the ARC, p-ERK expression was rhythmic in both genotypes, while in other hypothalamic regions (VMH, DMH, PVN and SCN), no significant cosinor regression was detected (Fig. 5D,E; Supplemental Table S2). Furthermore, except for the cerebellum, the daily pattern of p-ERK expression did not exactly match between WT and GKO, with apparent phase-changes and/or dampened amplitude (Fig. 5F; Supplemental Table S2).

Figure 5. Differential changes of PER2 and p-ERK expression in the hypothalamus and cerebellum of Rev-erbα GKO and WT mice challenged with restricted feeding.

Figure 5

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(A–C) PER2 and (D–F) p-ERK immunoreactive (ir) cells in ventromedial (VMH) and arcuate (ARC) hypothalamic nuclei, and cerebellum (CRB) of mice under conditions of food ad libitum or exposed to restricted feeding schedules. Note that staining intensity was taken into consideration for all hypothalamic nuclei; while for the cerebellum, the number of labeled Purkinje cells was counted. ap < 0.05 for restricted feeding vs. food ad libitum at a given time-point in wild-type (WT) mice (2-way ANOVA and Tukey post-hoc test). Data for ZT0 are double-plotted.

Besides the SCN insensitive to mealtime, adaptation of PER2 oscillations to restricted feeding was observed in most hypothalamic nuclei (ARC, VMH and PVN) of WT mice, as shown by an earlier PER2 expression that increased during food access (Fig. 5A,B, Supplemental Table S1). Close phase-advances were found for ARC and PVN (and a trend for VMH) of GKO mice. By contrast, PER2 expression in the cerebellum was markedly phase-advanced in food-restricted WT mice, but not in GKO mice (Fig. 5C, Supplemental Table S1). In response to daytime feeding, p-ERK expression was phase-advanced in the ARC of WT mice, while this change was hardly detectable in GKO mice (Fig. 5D,E, Supplemental Table S2). In the cerebellum, p-ERK expression in WT animals was clearly up-regulated before and during food access, while in GKO mice, the daily trough of p-ERK expression occurred prior to mealtime (Fig. 5F).

In sum, neuronal activation during food anticipation is less marked in the hypothalamus and cerebellum of GKO mice, which may contribute to their reduced FAA. Furthermore, phase-adjustment of the circadian clockwork to feeding time does not require the expression of Rev-erbα in hypothalamic and hepatic oscillators, whereas it seems indispensable for cerebellar clock adjustment.

Circadian phenotype of brain specific KO for Rev-erbα fed ad libitum

To further evaluate the central contribution of Rev-erbα to food entrainment, we generated brain-specific KO mice. Moreover, the use of conditional KO mice may circumvent potential confounding effects of global clock gene deletion on whole-body energy homeostasis and therefore on food entrainment (e.g., refs 37, 38, 39). The NesCre-induced recombination of the floxed Rev-erbα allele was confirmed from multiple brain regions of NesCre-Rev-erbαΔ/− mice (noted BKO below) by qPCR analysis, in comparison to NesCre-Rev-erbΔ/+ mice (noted CTRL thereafter). We observed a nearly non-existent expression of the Rev-erbα transcript in the cerebellum (Effect of Genotype, F(1,21) = 16.1, p < 0.001). In addition, we performed exploratory analyses in other brain regions. Very efficient NesCre-driven recombination was found in the hippocampus (Effect of Genotype, F(1,18) = 286.9, p < 0.001; Fig. 6A), nucleus accumbens, striatum, and motor cortex (data not shown). Down-regulation of Rev-erbα expression was less strong in the SCN and ARC of BKO mice, although Rev-erbα mRNA levels were still very significantly reduced and did not cycle between ZT2 and ZT10 (Effect of Genotype: F(1,18) = 24.0 and F(1,18) = 102.9, respectively in the SCN and ARC, p < 0.001 for both structures; Fig. 6A). Of note, one mouse heterozygous for NesCre and carrying both a KO and a floxed allele as confirmed by pre-weaning and post-death genotyping was excluded from the analysis, since Rev-erbα mRNA levels were normally expressed in the SCN of this mouse, which furthermore demonstrated a normal circadian phenotype (data not shown). These data indicate that the NesCre-driven recombination is not fully consistent amongst brain regions, in line with previous studies that used the same strategy37. As a result of Rev-erbα knockdown in the brain, we detected a significant elevation of the Bmal1 transcript at both time points, regardless of the brain regions considered (Effect of Genotype, p < 0.05 in the cerebellum, SCN, ARC and hippocampus. For details of Tukey HSD post-hoc tests, see Fig. 6B). Conversely, Per2 mRNA levels were less affected in most brain nuclei (Effect of Genotype: p > 0.05 in the cerebellum, SCN and hippocampus; and significant in the ARC: F(1,18) = 18.9, p < 0.01 Fig. 6C), while we observed reduced amplitude of Per2 between both time points in several brain regions of BKO mice, including the cerebellum (Effect of ZT: F(1,18) = 38.1, p < 0.01; [Genotype x ZT] interaction: F(1,18) = 7.6, p = 0.01; Fig. 6C).

Figure 6. Clock gene mRNA levels are altered in the brain of Rev-erbα BKO mice.

Figure 6

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(A) Rev-erbα, (B) Bmal1 and (C) Per2 mRNA levels in different brain regions from Control NesCre-Rev-erbαΔ/+ (CTRL) and NesCre-Rev-erbαΔ/− (BKO) mice fed ad libitum. SCN: suprachiasmatic nucleus, ARC: arcuate nucleus, Hipp: hippocampus, CRB: cerebellum, ZT: Zeitgeber Time. *p < 0.05 for GKO vs. WT animals at a given time-point as determined by 2-way ANOVA and Tukey HSD post-hoc test; ap < 0.05 for restricted feeding vs. food ad libitum at a given time-point in wild-type (WT) mice (2-way ANOVA and Tukey post-hoc test); bp < 0.05 for restricted feeding vs. food ad libitum at a given time-point in Rev-erbα brain-specific knock-out (BKO) mice (2-way ANOVA and Tukey post-hoc test).

In LD conditions with food ad libitum, brain deletion of Rev-erbα did not affect body mass (21.6 ± 0.9 vs. 23.7 ± 1.2 g in BKO and CTRL mice, respectively; t(11) = 1.4, p = 0.18). All control groups (NesCre-Rev-erbΔ/+, Rev-erbαflox/+, Rev-erbαflox/−) showed similar circadian organization and levels of both daily general locomotor and wheel-running activities (data not shown). We however observed a virtual absence of wheel use in BKO mice, thus precluding reliable comparison of wheel-running activity with the other genotypes (data not shown). The amplitude of day-night changes in general locomotor activity was drastically reduced without brain expression of Rev-erbα. In some animals, activity was rather fragmented and bursts of activity occurred mainly at the day-night/night-day transitions (Fig. 7A,B). The circadian general locomotor activity in BKO mice was further altered in DD conditions with a strong heterogeneity: three BKO mice were behaviourally arrhythmic, one exhibited a shorter and the other two had a longer free-running period compared to CTRL mice (Fig. 7A,B). These changes highlight major changes in the light-entrainable suprachiasmatic clock.

Figure 7. Circadian activity profiles of Rev-erbα BKO mice are markedly disturbed under light-dark cycle and constant darkness.

Figure 7

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Left panels: (A) Representative double-plotted actograms of two free-fed control NesCre-Rev-erbαΔ/+ (CTRL) and (B) two NesCre-Rev-erbαΔ/− (BKO) mice under light-dark (LD) conditions and then exposed to constant darkness (DD; delimited by horizontal black arrows) for 10 days. Right panels: Corresponding χ2 periodograms from (A) 2 CTRL and (B) 2 BKO mice.

Diminished Rev-erbα expression in the brain accounts for altered food entrainment

To determine whether Rev-erbα in the brain is required for circadian food entrainment, we challenged BKO mice with 6-h restricted feeding in LD conditions. All food-restricted control mice rapidly developed FAA 1 to 2 h prior to mealtime (Fig. 8A,B), the peak of FAA 1 h before food access representing about 10 to 12% of daily total activity in all control groups. By contrast, BKO mice did not readily express behavioural activation 1 h before food arrival, FAA being hardly detectable above their mean level of daily activity ([Genotype x ZT] interaction: F(9,83) = 6.9, p < 0.001; For details of Tukey HSD post-hoc tests, see Fig. 8B). In accordance with behavioural data, the peak of thermogenesis in anticipation was totally abolished in BKO mice (Effect of genotype: F(3,83) = 6.2, p < 0.01; [Genotype x ZT] interaction: F(9,83) = 7.9, p < 0.001; Fig. 8B). Moreover, like GKO mice, food-restricted BKO mice were able to maintain body temperature levels close to those measured in ad libitum conditions. During the 6-h food access, the daily amount of food eaten was smaller in BKO (NesCre-Rev-erbΔ/−) mice compared to CTRL (NesCre-Rev-erbΔ/+) animals (2.9 ± 0.2 g vs 3.8 ± 0.1 g, respectively; t(11) = 3.9, p < 0.01), while body mass during and at the end of the 2 wks of restricted feeding was not significantly different between the two genotypes (19.4 ± 1.0 vs. 22.4 ± 1.0 g, respectively; t(11) = 2.1, p = 0.06) as was body mass loss (−10.0 ± 2.3% vs. −5.3 ± 0.9; respectively; t(11) = 2.0, p = 0.07).

Figure 8. Food-anticipatory components are not expressed in food-restricted Rev-erbα BKO mice exposed to a light-dark cycle.

Figure 8

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(A) Representative double-plotted actograms of control NesCre-Rev-erbαΔ/+ (CTRL) animals and NesCre-Rev-erbαΔ/− (BKO) mice under LD conditions with food provided ad libitum and then restricted to 6 h per day (grey box, food was provided from ZT6 to ZT12). Note that on the last day of restricted feeding (day 24), food was given 6 h later (i.e., ZT12) than before. Thereafter, food was provided ad libitum except from day 28 (ZT12) to day 29 (ZT12) during which no food was given (“fasting test”, see arrow on Y axis). (B,C, upper panels) Normalized activity profiles and body temperature raw data representing the average of 10 days during restricted feeding conditions (B) and fasting test (C) in NesCre-Rev-erbαΔ/+ (CTRL, blue circle), NesCre-Rev-erbαΔ/− (BKO, red circle), Rev-erbαflox/+ (Flox/+, orange down-pointing triangle) and Rev-erbαflox/− (Flox/−, green up-pointing triangle) mice. Daytime and nighttime are indicated by white and black bars above the graphs, respectively. The period of food access during RF is represented by the grey rectangle. (B,C, lower panels). Statistical analysis (2-way ANOVA) was performed on percent of FAA over total daily activity and body temperature data from 4 h to 1 h before expected mealtime. ap < 0.05 for BKO vs. other groups, bp < 0.05 for BKO vs. Flox/+ and Flox/1, cp < 0.05 for CTRL vs. other groups, dp < 0.05 for Flox/+ vs. other groups, ep < 0.05 for BKO vs. Flox/+, and fp < 0.05 for BKO vs. Flox/−.

Interestingly, in food-restricted CTRL mice, Rev-erbα expression was up-regulated at ZT2 in the ARC, Hipp and CRB, while Rev-erbα levels were as low as during ad libitum conditions in brain areas of BKO mice (for details, see Fig. 6A). Expression of Bmal1 and Per2 was not affected in the SCN of food-restricted BKO and CTRL mice in comparison with conditions of food ad libitum (Fig. 6B,C) and Bmal1 was still up-regulated in the SCN of food-restricted BKO animals (Effect of Genotype: F(1,13) =  43.1, p < 0.001). Besides Rev-erbα, morning and evening expression of Per2 and/or Bmal1 was also altered in the ARC, hippocampus and CRB of CTRL mice in response to restricted feeding (Fig. 6). In the ARC, levels of Per2 and Bmal1 were up-regulated in food-restricted BKO mice as compared to CTRL animals (Effect of Genotype: F(1,15) > 12, p < 0.01 for both genes), while phase-changes were close between genotypes ([Genotype x ZT] interaction: F(1,15) < 0.1, p > 0.8) for both genes). In the hippocampus, Bmal1 mRNA levels were down-regulated in food-restricted mice (Fig. 6), albeit at higher levels in BKO as compared to CTRL mice (Effect of Genotype: F(1,16) =  11.1, p < 0.01). Per2 expression in the hippocampus was differentially affected by mealtime according to the genotype ([Genotype x ZT] interaction: F(1,16) = 7.7, p = 0.01): Per2 mRNA levels were increased in the morning only in BKO and in the evening only in CTRL mice. Finally, in addition to increased Rev-erbα levels in response to mealtime in the cerebellum of CTRL mice, Per2 expression was also up-regulated, indicating phase-sensitivity to mealtime. In the cerebellum of BKO mice, the morning levels of Per2 expression was similar between restricted feeding and ad libitum food, suggesting impaired phase-adjustment of the cerebellar clock to mealtime (Fig. 6C). In contrast, except for Per2 expression in BKO animals that was more diminished in the morning, changes in clock gene expression in the liver of food-restricted mice were close between BKO and CTRL groups (Supplemental Fig. 1), indicating that the phase-adjustment of the liver clock to mealtime was essentially unaltered in BKO mice.

We also tested the reappearance of FAA: food-restricted mice were transferred back to conditions with ad libitum food for 5 days and then challenged with a 24-h fast. Among the fasted control groups, Rev-erbα flox/+ mice (i.e., mice that possess both a WT allele and a non-recombined floxed allele) showed a strong increase in locomotor activity before expected food access while the progressive elevation of FAA was much slighter in the other controls (Effect of genotype: F(3,83) = 6.3, p < 0.01; [Genotype x ZT] interaction: F(9,83) = 2.7, p = 0.01; Fig. 8C). On the other hand, a rise in body temperature before expected mealtime was observed in all control groups (Effect of genotype: F(3,83) = 6.1, p < 0.01; [Genotype x ZT] interaction: F(9,83) = 2.9, p < 0.01; Fig. 8C). Notably, neither FAA nor food-anticipatory thermogenesis could be observed in fasted BKO mice (Fig. 8C). Overall, the lack of behavioural and physiological components of food anticipation in a brain-specific KO model reveals that central Rev-erbα expression is crucial for proper food entrainment.

Discussion

The role of clock genes in the food-entrainable network has been assessed by challenging clock-compromised mice with time-restricted feeding. Some studies suggest that circadian food anticipation relies on a clock gene-dependent mechanism that at least involves the Period1-3, Bmal1, Cry1-2 and Npas2 genes23,32,37,39,40,41,42,43. Others indicate that contribution of clock genes to food entrainment is mild44,45, or even non-significant21,22,46. Here we give evidence that central Rev-erbα expression is necessary for an animal to predict the time of food availability.

In conditions of limited food access, global Rev-erbα deletion induces a significant reduction of FAA in LD conditions. This dampened FAA was further confirmed in DD conditions or skeleton photoperiod. In accordance with behavioural results, the food-anticipatory thermogenesis was nearly absent in GKO mice. By contrast, the postprandial peak of body temperature matched between WT and GKO mice, indicating similar food processing. In addition, we observed similar body mass values and no significant reduction or delay in food intake between food-restricted WT and GKO animals (data not shown), thus excluding poor health status as a cause of reduced food anticipation. Lastly, corticosterone levels were not elevated in anticipation of daytime feeding in GKO mice. Hence, the overall altered food-entrained physiology of GKO mice supports an essential role for Rev-erbα in food entrainment.

The liver clock is sensitive to feeding cues32 and Rev-erbα may play a role in that regard47. Phase-adjustment of hepatic clock actors to feeding time was however preserved in GKO mice. This indicates that disrupted FAA is not the consequence of impaired liver clock entrainment to scheduled feeding. Of note, the expression of clock-related genes in the liver of Per2 mutant mice is also shifted in response to daytime feeding32. It is thus likely that the liver clock is robust to clock perturbations on the long term and may rely on metabolic cues to adjust the phase of circadian mRNA expression in conditions of time-restricted food access.

PER2 expression has been shown to respond to feeding time in hypothalamic oscillators8. Our results show that PER2 expression in the hypothalamic nuclei studied was not significantly different between both genotypes, either fed ad libitum or challenged with restricted feeding. Therefore, the diminished capability of food entrainment in GKO mice is not correlated with altered PER2 cycling in hypothalamic areas. Among hypothalamic oscillators, several studies have been focused on the DMH, thought to be part of the food-entrainable network15,19,48, but see also49,50). Here we did not detect sizeable PER2 immunostaining in the DMH, as previously reported8. Together, these data indicate that Rev-erbα may be dispensable for adjustment of hypothalamic clock gene oscillations as in the liver, although these results do not rule out a role for hypothalamic nuclei in food entrainment.

Increased expression of c-FOS has been observed before and/or after mealtime in several hypothalamic nuclei, including the DMH and the VMH15,36,51. By studying the activation marker p-ERK, we showed for the first time that its daily pattern of expression was adjusted to feeding time in all hypothalamic nuclei of WT animals. On the contrary, p-ERK expression was affected by global Rev-erbα deletion in both feeding conditions and no peak of p-ERK expression was detected in GKO in anticipation of mealtime. This indicates that feeding/homeostatic signals are not similarly integrated in hypothalamic areas of GKO mice compared to WT mice, while PER2 phase-adjustment to scheduled feeding remains unaffected in the absence of Rev-erbα and the consecutive alteration of p-ERK activation. Distinct cellular pathways, therefore, may be involved in the entrainment of brain oscillators and in the induction of immediate early genes in response to feeding-related cues.

On the other hand, additional brain areas may be essential to drive FAA. In support to that view, brain-specific KO of Bmal137, but not forebrain-specific deletion38, reduces FAA, suggesting that midbrain or hindbrain structures may modulate FAA. The cerebellum has recently been shown to harbor a circadian oscillator sensitive to feeding schedules. Furthermore, genetic and pharmacological impairments of the cerebellar function disrupt FAA in mice14. In this context, we determined the expression pattern of both PER2 and p-ERK proteins in the cerebellum of WT and GKO mice. We found no phase-adjustment of PER2 oscillations to feeding time, as well as a diminution of p-ERK expression in anticipation of feeding in GKO mice. Noteworthy, Per2 mRNA is not increased in anticipation to mealtime in Grid2ho/ho mice that have genetic cerebellar deficits, and which do not express FAA14. It is thus likely that altered PER2 expression in the cerebellum of food-restricted Rev-erbα GKO mice is somewhat related to their defect to show strong food-anticipatory components. In the brain network of food-entrainable clocks, additional evidence is given here that the cerebellum may be important to integrate homeostatic signals and/or to drive FAA.

To further evaluate the central contribution of brain expression of Rev-erbα to food entrainment, we used a conditional gene KO approach. Rev-erbα expression was prevented in the nervous system by using the NesCre driver. As a result, Rev-erbα mRNA expression was barely detectable and did not cycle in the brain of BKO mice fed ad libitum or food-restricted, while Bmal1 transcript was constitutively up-regulated at the two studied time points. This however did not severely affect Per2 cycling in brain regions, in spite of reduced amplitude of Per2 transcripts between morning and evening in the SCN and cerebellum of BKO mice. In LD conditions with food provided ad libitum, brain deletion of Rev-erbα induced a more drastic reduction of both general locomotor and wheel-running activities than global Rev-erbα deletion did. Likewise, BKO mice showed a further altered circadian phenotype than that displayed by GKO mice, which is likely due to the conditional gene knockout strategy used in this study that imposes temporal and regional restriction of Rev-erbα deletion. Moreover, these changes somehow contrast with the shorter free-running period of GKO mice for Rev-erbα (our results and ref. 4), but are reminiscent of the very weak circadian rhythmicity of double GKO for Rev-erbα and Rev-erbβ29.

Similarly to global deletion of Rev-erbα, faint expression of this gene restricted to the nervous system disrupts food entrainment. BKO mice did not show substantial FAA during the 2 weeks of food restriction. This result indicates that circadian (i.e., self-sustained) properties of FAA are altered in the absence of central Rev-erbα expression. In addition, our qPCR data in CTRL mice show that Rev-erbα expression highly responds to daytime restricted feeding in different brain nuclei, except the SCN. Furthermore, brain Rev-erbα deletion impaired changes in clock gene expression in response to limited food access in the hippocampus and cerebellum, but not in the ARC and liver. Therefore, our results indicate that Rev-erbα is essential to couple the nutritional state and the clock in some brain nuclei and support the view that the food-entrainable circadian system relies on a complex population of genes and oscillators with probably distinct roles.

Lastly, we observed that while control mice decreased their body temperature during food withdrawal, BKO animals maintained body temperature values close to those observed in conditions of food ad libitum. The absence of phase- and amplitude-adjustment of the body temperature rhythm in BKO mice may indicate that restricted feeding does not trigger adaptive mechanisms to reduce energy expenditure when food becomes scarce, to the same degree as in control mice. Interestingly, higher values of body temperature were observed not only in food-restricted GKO mice (present results), but also in 24-h food deprived or cold-exposed GKO animals30,52. The relative hyperthermic state of GKO and BKO could thus point to a role for Rev-erbα in the central regulation of energy expenditure. To what extent possible changes in thermoregulatory responses could have affected expression of FAA in GKO and BKO needs to be further investigated.

Together, the present findings demonstrate that Rev-erbα in the brain is required not only for proper functioning of the light-entrainable master clock, but also to integrate feeding cues and adjust circadian behaviour and physiology to environmental conditions, critical for animal survival.

Methods

Animals and housing conditions

The founders Rev-erbα heterozygous mice kindly provided by Prof. Ueli Schibler (University of Geneva, Switzerland) have been rederived on C57BL6J background30. The Rev-erbα deletion strategy is described in4. NestinCre transgenic mice were obtained from The Jackson Laboratory (#003771). The conditional Rev-erbα KO model was established at the Mouse Clinical Institute (Strasbourg, France) in the framework of the European EUMODIC consortium53. To create a conditional allele of Rev-erbα/Nr1d1 (MGI:2444210), an MCI proprietary vector containing flipped Neomycin resistance cassette was used, resulting in step1 plasmid. The floxed 0.6 kb fragment encompassing exons 3 and 4 was amplified by PCR and subcloned in step2 plasmid. In parallel, a 3.7 kb fragment corresponding to the 5’ homology arm and 2.9 kb fragment corresponding to the 3’ homology arms were amplified by PCR and subcloned in step2 plasmid to generate the final targeting construct (see Fig. S2). The linearized construct was electroporated in 129S2/SvPas mouse embryonic stem (ES) cells. After selection, targeted clones were identified by PCR using external primers and further confirmed by Southern blot with 5’ and 3’ external probes. Two positive ES clones were injected into C57BL/6N blastocysts, and male chimaeras derived gave germline transmission. The conditional mouse model was then backcrossed in C57BL/6J background. To produce brain-specific KO mice, we crossed animals with a conditional Rev-erbα allele with mice carrying a Cre recombinase transgene under the control of the rat Nestin promoter. To improve the efficiency of deletion of Reverbα alleles, we used the same strategy described as in ref. 37 (see Fig. S3). Note that a significant decrease of Rev-erbα expression was detected by qPCR analysis in liver tissue of BKO mice fed ad libitum. This mild effect, however, did not affect at all the day-night expression of Bmal1 and Per2, suggesting a fully functional circadian clock in the liver (Fig. S1).

Mice of both sexes (sex ratio about 1:1) were bred in a pathogen-free facility (Chronobiotron platform, UMS 3415, CNRS and University of Strasbourg) in a temperature-controlled room (22 ± 1 °C) under 12 h light and 12 h dark (LD 12:12) conditions unless otherwise stated. Regular chow (SAFE 105, Augy, France) and water were provided ad libitum, except during the periods of restricted feeding. Access to food during restricted feeding was set automatically by the Fasting Plan system (Intellibio, Seichamps, France). Two- to 5-month old mice were individually housed in transparent plastic cages equipped with a running wheel (12.5 cm in diameter). Body mass and food intake were determined weekly. All experiments were performed in accordance with the NIH Guide for the Care and Use of Laboratory Animals (1996), the French National Law (implementing the European Union Directive 2010/63/EU) and approved by the Regional Ethical Committee of Strasbourg for Animal Experimentation (CREMEAS).

Locomotor activity and body temperature recordings

Mice were implanted i.p. under constant gaseous anesthesia (oxygen with a constant rate at 0.2 L/min and isoflurane at 2%) with a small transponder (G2 E-Mitter, MiniMitter, Bend, Oregon, USA) recording gross locomotor activity (general activity hereafter) and core body temperature every 5 min. A PC-based acquisition system (VitalView, MiniMitter) recorded the aforementioned parameters plus the wheel-running activity 24 h a day.

Experimental design

Global KO (GKO) – LD conditions

WT and GKO mice (n = 7–8/genotype) were fed ad libitum for 2–3 weeks and then exposed to restricted feeding schedules in which food availability was progressively reduced to 6 h per day, from ZT6 to ZT12 (ZT refers to Zeitgeber Time, ZT0 and ZT12 defining time of lights-on and lights-off, respectively) for up to 3 weeks. Of note, LD experiment was reproduced with an additional series of mice for the metabolic and mRNA/protein expression analyses presented in this study.

Global KO – DD conditions

WT and GKO mice (n = 4–6/genotype) were transferred for several weeks to constant darkness (DD) and exposed to temporal restricted feeding during which the food access was limited to 6 h per day for 3 weeks (from 02:00 p.m. to 08:00 p.m.).

Global KO – DD conditions and shift of mealtime

Mice (n = 4/genotype) were placed in DD conditions and fed ad libitum and then challenged with a restricted feeding paradigm in which food was given for 6 h from 02:00 p.m. to 08:00 p.m for 4 weeks. After a first period of food restriction at a specific circadian phase, mealtime was shifted (i.e., 6-h phase-delayed) to investigate how FAA reappears at a new feeding time.

Global KO – Skeleton photoperiod

Mice (n = 4/genotype) were exposed to skeleton photoperiod (i.e., 1 h light-pulse at the beginning of the resting period and 1 h light-pulse at the end of the resting period) and challenged with a 6-h restricted feeding schedule.

Brain-specific KO (BKO)

NestinCre+;Rev-erbαΔ/+ (CTRL, n = 7), NestinCre+;Rev-erbαΔ/− (BKO, n = 7; note that one mouse was excluded a posteriori from the analysis due to poor recombination leading to normal levels of Rev-erbα in brain; see results), Rev-erbαflox/+ (n = 4) and Rev-erbαflox/− (n = 4) were fed ad libitum for 2 weeks in LD conditions and then challenged with a restricted feeding schedule in LD conditions in which food availability was reduced to 6 h per day, from ZT6 to ZT12, for up to 2 weeks. Then mice were fed ad libitum for 5 days, and were fasted for 24 h (from ZT12 to ZT12) to test the reappearance of FAA. The animals fed ad libitum were also exposed to DD conditions to evaluate their endogenous period. CTRL and BKO mice fed ad libitum were sampled in the morning (ZT0-ZT2) together with additional Rev-erbαflox/+ and Rev-erbαflox/− mice fed ad libitum sampled in the evening (ZT10-ZT12) to check for recombination in the brain and liver and possible day-night variations in gene expression. Another set of CTRL and BKO mice were exposed to a restricted feeding schedule under LD for 2 weeks, as reported above. Then, brains and livers were sampled in in the morning (ZT0-ZT2) or in the evening (ZT10-ZT12).

Tissue and blood collections

GKO and WT mice from LD experiments, either with food ad libitum or restricted feeding conditions, were sacrificed at ZT0, ZT6, ZT12 and ZT18. Briefly, mice were injected with a lethal dose of pentobarbital, a blood sample was taken intracardially and two pieces of liver were cut and immediately flash-frozen in liquid nitrogen. Then animals were perfused transcardially with 50 mL PBS 1X (Phosphate-buffered saline, pH 7.2) and 50 mL PFA buffer (4% paraformaldehyde in 0.1 M phosphate buffer, pH 7.4). Brains were removed and post-fixed in 4% PFA for 24 h at 4 °C and cryoprotected successively for 24 h at 4 °C into 10, 20 and 30% sucrose solution in 0.1 M PB. Brains were then frozen in isopentane at −40 °C and then stored at −80 °C. Rev-erbΔ/− mice and their controls were sacrificed as described above. Brain were quickly removed and frozen in isopentane cooled with liquid nitrogen, and liver samples were cut and immediately flash-frozen in liquid nitrogen and stored at −80 °C.

Hormonal measurements

Plasma corticosterone was measured using an EIA kit (AC-14F1, ImmunoDiognosticSystems, Paris, France). The limit of sensitivity was 0.55 ng·mL−1.

Immunohistochemistry

Coronal frozen brain sections (30 μm thick) of the hypothalamus and the cerebellum of WT and GKO mice were made using a cryostat (CM3050, Leica Biosystems). Free-floating sections were rinsed in PBS 1X and incubated in a solution of 3% H2O2 (Sigma-Aldrich) in PBS for 30 min at room temperature. Sections were then rinsed in PBS, and incubated for 2 h in a blocking solution containing 10% goat serum in PBS with 0.3% Tween 20 in PBS. Then sections were incubated in the primary antibody solution (in PBS + 0.3% Tween 20 + 10% goat serum) for 24 h with gentle agitation at 4 °C. We used a rabbit polyclonal anti-PER2 (1:2000; Alpha Diagnostic International, Cat. PER21-A; #869900A1) and a rabbit anti-p44/42 MAPK (1:20000; Cell Signaling #4370). Sections were then rinsed in PBS with 0.05% Tween 20 and incubated for 2 h at 4 °C with a biotinylated anti-rabbit IgG made in goat (Vectastain ABC peroxidase kit PK6101), diluted 1:500 with 0.3% Tween 20 in PBS on a plate shaker at 4 °C. Thereafter, sections were rinsed in PBS + 0.05% Tween 20 and incubated for 1 h at room temperature with an avidin-biotin-peroxidase complex (1:250; Vectastain Kit, PK6101; Vector Laboratories) in PBS + 0.05% Tween 20. Next, sections were rinsed in PBS, and incubated with 3,3′-diaminobenzidine (0.5 mg/mL; Sigma) with 0.015% H2O2 in H2O. Thereafter, sections were rinsed with PBS, wet-mounted onto gel-coated slides, dehydrated through a series of alcohol, soaked in toluene, and coverslipped with Eukitt (Sigma-Aldrich). Photomicrographs were taken on Leica DMRB microscope (Leica Microsystems) with an Olympus DP50 digital camera (Olympus France). The intensity and number of immunoreactive cells in hypothalamic nuclei and the Purkinje layer of the cerebellum, respectively, were determined using NIH ImageJ software (Rasband, W.S., U. S. National Institutes of Health, Bethesda MD, USA). The average intensity or cell numbers was determined, as far as possible, from three brain sections per animal. The number of animals/genotype/ZT was comprised between 3 and 6. SCN staining served as an internal control to evaluate the reliability of our immunohistochemistry experiments.

mRNA extraction and Quantitative Real-Time PCR of cerebellum and brain punches

Frozen brains from BKO mice and their controls were placed in a cryostat, cerebellum were separated from the rest of the brain, homogenized in lysis buffer supplemented with β-mercaptoethanol and total RNA was immediately extracted according to the manufacturer’s protocol (RNeasy Mini Kit, Qiagen). With the remaining brain tissue, serial coronal sections (200 μm thick) were made in the cryostat and immediately placed in RNAlater (Ambion). Brain nuclei were identified under a stereomicroscope with a mouse brain atlas and dissected with the brain punch tissue set (Leica Biosystems). Punches were put in lysis buffer and total RNA extracted using the RNeasy Micro Kit (Qiagen). RNA quantity and quality were measured using NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies) and the Bioanalyzer (Agilent RNA 6000 Pico kit, Agilent Technologies), respectively. cDNAs were synthesized from 200 ng (cerebellum) and 10–100 ng (brain punches) of total RNA using the SuperScript III Kit (Invitrogen). Quantitative Real-time PCR was performed and analyzed using an Applied Biosystems 7300 Real-time PCR System with 1X TaqMan Gene Expression Master Mix (Applied Biosystems), 1X TaqMan Gene Expression Assay (Applied Biosystems, see references below) and 1 μL of cDNA in a total volume of 20 μL. PCR conditions were 10 min at 95 °C followed by 40 cycles of 15 s at 95 °C, 1 min at 60 °C. PCR reactions were done in duplicate. Relative expression levels were determined using the comparative ΔCT method to normalize target gene mRNA to Tbp. The following TaqMan Gene Expression Assays were used: Bmal1 (Mm00500226_m1), Per2 (Mm00478113_m1), Nr1d1 (exon 4–5; Mm00520711_g1) and Tbp (Mm00446971_m1).

mRNA extraction and Quantitative Real-Time PCR in liver

Pieces of frozen livers from GKO mice and their control littermates, or BKO and CTRL mice were homogenized in lysis buffer supplemented with β-mercaptoethanol and total RNA was extracted according to the manufacturer’s protocol (Absolutely RNA Miniprep Kit, Stratagene, Agilent technologies). RNA quantity was measured using NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies). cDNAs were synthesized from 1 μg of total RNA using the High Capacity RNA-to-cDNA Kit (Applied Biosystems). Quantitative Real-time PCR was performed as above. Relative expression levels were determined using the comparative ΔCT method to normalize target gene mRNA to β-actin and Tbp for GKO and BKO samples, respectively. The following TaqMan Gene Expression Assays were used: β-actin (Mm01205647_g1), Bmal1 (Arnt1, Mm00500226_m1), Clock (Mm00455950_m1), Tbp (Mm00446971_m1), and Per2 (Mm00478113_m1).

Analysis of locomotor activity and temperature data

Daily rhythms of general activity and body temperature were analyzed using a Clocklab software (Actimetrics, Evanston, IL, USA) associated to MatLab (MathWorks, France). Locomotor activity data were double-plotted in actograms using the Clocklab percentile format in all the figures. Mean activity profiles were quantified every 1 h during the last 10 days of food ad libitum and restricted feeding conditions in the LD experiments while for the DD experiments only 5 days were considered in the analysis to avoid an overlap between the FAA and the activity controlled by the SCN. For comparison purpose, data points are expressed as a percentage of total daily activity. To determine the free-running period of animals in DD conditions, the χ2 periodogram was used. Note that alpha was set at 0.01 and that 10 days were considered.

Statistical analysis

All values are expressed as mean ± SEM. Normality and homogeneity of variance were assessed with Kolmogorov–Smirnov Lilliefors test and Levene’s test, respectively. Data non-normal and/or heteroscedastic were subjected to logarithmic transformation before analysis. Alpha was set at 0.05. Data were analyzed either with Student’s t-test or two-way ANOVA followed by Tukey HSD post-hoc analysis when applicable. Statistical analyses were performed with Statistica version 10 (StatSoft, Maisons-Alfort, France). For assessing daily rhythmicity of PER2 and p-ERK levels in brain structures, we used a cosinor analysis to determine mean level, amplitude and acrophase of the rhythm with SigmaPlot software (Systat software Inc., San Jose, CA, USA). Data were fitted to the following regression: [y = a + b·cos(2·π·(x − c)/24)] where a is the mean level, b the amplitude, and c the acrophase of the rhythm. Cosinor regressions were considered as significant only when the 3 fitted parameters had p ≤ 0.05.

Additional Information

How to cite this article: Delezie, J. et al. Rev-erbα in the brain is essential for circadian food entrainment. Sci. Rep. 6, 29386; doi: 10.1038/srep29386 (2016).

Supplementary Material

Supplementary Information
srep29386-s1.pdf (688.7KB, pdf)

Acknowledgments

We are indebted to Prof. Ueli Schibler (University of Geneva, Switzerland) for kindly providing the founder Rev-erbα+/− mice. We also thank the European EUMODIC consortium for generating the Rev-erbα floxed line. We would like to thank Dr. Dominique Sage-Ciocca for management of actimetry, Magaly Mayer-Schmitt for taking part in the immunohistochemistry experiments, Sylviane Gourmelen for transponder implantation, Laurence Huck and Anita Wulgué for animal care. This work was supported by Agence Nationale pour la Recherche “Jeunes chercheurs/jeunes chercheuses” ANR-07-JCJC-0111 (E.C.), Centre National de Recherche Scientifique (E.C.), University of Strasbourg (E.C.), and a doctoral fellowship from the French Ministry of National Education and Research (J.D.).

Footnotes

Author Contributions J.D. and E.C. designed the study. J.D., S.D., C.S., S.R. and P.P. carried out the research, collected the data, and contributed to data analyses. J.D. and E.C. prepared the figures and wrote the manuscript. All authors discussed the results and commented on the manuscript.

References

  1. Dibner C., Schibler U. & Albrecht U. The mammalian circadian timing system: organization and coordination of central and peripheral clocks. Annu Rev Physiol 72, 517–549 (2010). [DOI] [PubMed] [Google Scholar]
  2. Guillaumond F., Dardente H., Giguere V. & Cermakian N. Differential control of Bmal1 circadian transcription by REV-ERB and ROR nuclear receptors. J Biol Rhythms 20, 391–403 (2005). [DOI] [PubMed] [Google Scholar]
  3. Crumbley C. & Burris T. P. Direct regulation of CLOCK expression by REV-ERB. PLoS One 6, e17290 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Preitner N. et al. The orphan nuclear receptor REV-ERBalpha controls circadian transcription within the positive limb of the mammalian circadian oscillator. Cell 110, 251–260 (2002). [DOI] [PubMed] [Google Scholar]
  5. Damiola F. et al. Restricted feeding uncouples circadian oscillators in peripheral tissues from the central pacemaker in the suprachiasmatic nucleus. Genes Dev 14, 2950–2961 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Hara R. et al. Restricted feeding entrains liver clock without participation of the suprachiasmatic nucleus. Genes Cells 6, 269–278 (2001). [DOI] [PubMed] [Google Scholar]
  7. Stokkan K. A., Yamazaki S., Tei H., Sakaki Y. & Menaker M. Entrainment of the circadian clock in the liver by feeding. Science 291, 490–493 (2001). [DOI] [PubMed] [Google Scholar]
  8. Feillet C. A., Mendoza J., Albrecht U., Pevet P. & Challet E. Forebrain oscillators ticking with different clock hands. Mol Cell Neurosci 37, 209–221 (2008). [DOI] [PubMed] [Google Scholar]
  9. Stephan F. K. The “other” circadian system: food as a Zeitgeber. J Biol Rhythms 17, 284–292 (2002). [DOI] [PubMed] [Google Scholar]
  10. Mistlberger R. E. Neurobiology of food anticipatory circadian rhythms. Physiol Behav 104, 535–545 (2011). [DOI] [PubMed] [Google Scholar]
  11. Feillet C. A., Albrecht U. & Challet E. “Feeding time” for the brain: a matter of clocks. J Physiol Paris 100, 252–260 (2006). [DOI] [PubMed] [Google Scholar]
  12. Stephan F. K., Swann J. M. & Sisk C. L. Entrainment of circadian rhythms by feeding schedules in rats with suprachiasmatic lesions. Behav Neural Biol 25, 545–554 (1979). [DOI] [PubMed] [Google Scholar]
  13. Marchant E. G. & Mistlberger R. E. Anticipation and entrainment to feeding time in intact and SCN-ablated C57BL/6j mice. Brain Res 765, 273–282 (1997). [DOI] [PubMed] [Google Scholar]
  14. Mendoza J., Pevet P., Felder-Schmittbuhl M. P., Bailly Y. & Challet E. The cerebellum harbors a circadian oscillator involved in food anticipation. J Neurosci 30, 1894–1904 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Gooley J. J., Schomer A. & Saper C. B. The dorsomedial hypothalamic nucleus is critical for the expression of food-entrainable circadian rhythms. Nat Neurosci 9, 398–407 (2006). [DOI] [PubMed] [Google Scholar]
  16. Davidson A. J., Cappendijk S. L. & Stephan F. K. Feeding-entrained circadian rhythms are attenuated by lesions of the parabrachial region in rats. Am J Physiol Regul Integr Comp Physiol 278, R1296–R1304 (2000). [DOI] [PubMed] [Google Scholar]
  17. LeSauter J., Hoque N., Weintraub M., Pfaff D. W. & Silver R. Stomach ghrelin-secreting cells as food-entrainable circadian clocks. Proc Natl Acad Sci USA 106, 13582–13587 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Tahara Y., Hirao A., Moriya T., Kudo T. & Shibata S. Effects of medial hypothalamic lesions on feeding-induced entrainment of locomotor activity and liver Per2 expression in Per2::luc mice. J Biol Rhythms 25, 9–18 (2010). [DOI] [PubMed] [Google Scholar]
  19. Acosta-Galvan G. et al. Interaction between hypothalamic dorsomedial nucleus and the suprachiasmatic nucleus determines intensity of food anticipatory behavior. Proc Natl Acad Sci USA 108, 5813–5818 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Challet E., Mendoza J., Dardente H. & Pevet P. Neurogenetics of food anticipation. Eur J Neurosci 30, 1676–1687 (2009). [DOI] [PubMed] [Google Scholar]
  21. Storch K. F. & Weitz C. J. Daily rhythms of food-anticipatory behavioral activity do not require the known circadian clock. Proc Natl Acad Sci USA 106, 6808–6813 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Pendergast J. S. et al. Robust food anticipatory activity in BMAL1-deficient mice. PLoS One 4, e4860 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Takasu N. N. et al. Circadian regulation of food-anticipatory activity in molecular clock-deficient mice. PLoS One 7, e48892 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Chawla A. & Lazar M. A. Induction of Rev-ErbA alpha, an orphan receptor encoded on the opposite strand of the alpha-thyroid hormone receptor gene, during adipocyte differentiation. J Biol Chem 268, 16265–16269 (1993). [PubMed] [Google Scholar]
  25. Fontaine C. et al. The orphan nuclear receptor Rev-Erbalpha is a peroxisome proliferator-activated receptor (PPAR) gamma target gene and promotes PPARgamma-induced adipocyte differentiation. J Biol Chem 278, 37672–37680 (2003). [DOI] [PubMed] [Google Scholar]
  26. Wang J. & Lazar M. A. Bifunctional role of Rev-erbalpha in adipocyte differentiation. Mol Cell Biol 28, 2213–2220 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Le Martelot G. et al. REV-ERBalpha participates in circadian SREBP signaling and bile acid homeostasis. PLoS Biol 7, e1000181 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Duez H. et al. Regulation of bile acid synthesis by the nuclear receptor Rev-erbalpha. Gastroenterology 135, 689–698 (2008). [DOI] [PubMed] [Google Scholar]
  29. Cho H. et al. Regulation of circadian behaviour and metabolism by REV-ERB-alpha and REV-ERB-beta. Nature 485, 123–127 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Delezie J. et al. The nuclear receptor REV-ERBalpha is required for the daily balance of carbohydrate and lipid metabolism. FASEB J 26, 3321–3335 (2012). [DOI] [PubMed] [Google Scholar]
  31. Woldt E. et al. Rev-erb-alpha modulates skeletal muscle oxidative capacity by regulating mitochondrial biogenesis and autophagy. Nat Med 19, 1039–1046 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Feillet C. A. et al. Lack of food anticipation in Per2 mutant mice. Curr Biol 16, 2016–2022 (2006). [DOI] [PubMed] [Google Scholar]
  33. Nelson W., Scheving L. & Halberg F. Circadian rhythms in mice fed a single daily meal at different stages of lighting regimen. J Nutr 105, 171–184 (1975). [DOI] [PubMed] [Google Scholar]
  34. Honma K. I., Honma S. & Hiroshige T. Feeding-associated corticosterone peak in rats under various feeding cycles. Am J Physiol 246, R721–R726 (1984). [DOI] [PubMed] [Google Scholar]
  35. Patton D. F. et al. Photic and pineal modulation of food anticipatory circadian activity rhythms in rodents. PLoS One 8, e81588 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Angeles-Castellanos M., Aguilar-Roblero R. & Escobar C. c-Fos expression in hypothalamic nuclei of food-entrained rats. American Journal of Physiology-Regulatory Integrative and Comparative Physiology 286, R158–R165 (2004). [DOI] [PubMed] [Google Scholar]
  37. Mieda M. & Sakurai T. Bmal1 in the nervous system is essential for normal adaptation of circadian locomotor activity and food intake to periodic feeding. J Neurosci 31, 15391–15396 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Izumo M. et al. Differential effects of light and feeding on circadian organization of peripheral clocks in a forebrain Bmal1 mutant. Elife 3 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Chavan R. et al. Liver-derived ketone bodies are necessary for food anticipation. Nat Commun 7, 10580 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Mendoza J., Albrecht U. & Challet E. Behavioural food anticipation in clock genes deficient mice: confirming old phenotypes, describing new phenotypes. Genes Brain Behav 9, 467–477 (2010). [DOI] [PubMed] [Google Scholar]
  41. Dudley C. A. et al. Altered patterns of sleep and behavioral adaptability in NPAS2-deficient mice. Science 301, 379–383 (2003). [DOI] [PubMed] [Google Scholar]
  42. Pendergast J. S., Oda G. A., Niswender K. D. & Yamazaki S. Period determination in the food-entrainable and methamphetamine-sensitive circadian oscillator(s). Proc Natl Acad Sci USA 109, 14218–14223 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Li Z. et al. Sex-related difference in food-anticipatory activity of mice. Horm Behav 70, 38–46 (2015). [DOI] [PubMed] [Google Scholar]
  44. Horikawa K., Minami Y., Iijima M., Akiyama M. & Shibata S. Rapid damping of food-entrained circadian rhythm of clock gene expression in clock-defective peripheral tissues under fasting conditions. Neuroscience 134, 335–343 (2005). [DOI] [PubMed] [Google Scholar]
  45. Iijima M. et al. Altered food-anticipatory activity rhythm in Cryptochrome-deficient mice. Neurosci Res 52, 166–173 (2005). [DOI] [PubMed] [Google Scholar]
  46. Pitts S., Perone E. & Silver R. Food-entrained circadian rhythms are sustained in arrhythmic Clk/Clk mutant mice. Am J Physiol Regul Integr Comp Physiol 285, R57–R67 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Tahara Y., Otsuka M., Fuse Y., Hirao A. & Shibata S. Refeeding after fasting elicits insulin-dependent regulation of Per2 and Rev-erbalpha with shifts in the liver clock. J Biol Rhythms 26, 230–240 (2011). [DOI] [PubMed] [Google Scholar]
  48. Verhagen L. A. et al. Anticipation of meals during restricted feeding increases activity in the hypothalamus in rats. Eur J Neurosci 34, 1485–1491 (2011). [DOI] [PubMed] [Google Scholar]
  49. Landry G. J. et al. Evidence for time-of-day dependent effect of neurotoxic dorsomedial hypothalamic lesions on food anticipatory circadian rhythms in rats. PLoS One 6, e24187 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Moriya T. et al. The dorsomedial hypothalamic nucleus is not necessary for food-anticipatory circadian rhythms of behavior, temperature or clock gene expression in mice. Eur J Neurosci 29, 1447–1460 (2009). [DOI] [PubMed] [Google Scholar]
  51. Ribeiro A. C. et al. Two forces for arousal: Pitting hunger versus circadian influences and identifying neurons responsible for changes in behavioral arousal. Proc Natl Acad Sci USA 104, 20078–20083 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Gerhart-Hines Z. et al. The nuclear receptor Rev-erbalpha controls circadian thermogenic plasticity. Nature 503, 410–413 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Ayadi A. et al. Mouse large-scale phenotyping initiatives: overview of the European Mouse Disease Clinic (EUMODIC) and of the Wellcome Trust Sanger Institute Mouse Genetics Project. Mamm Genome 23, 600–610 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]

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