Obesity and depression are major public health concerns, and there is increasing evidence that they share etiological mechanisms. CREB-regulated transcription coactivator 1 (CRTC1) participates in neurobiological pathways involved in both mood and energy balance regulation. Crtc1 −/− mice rapidly develop a depressive-like and obese phenotype in early adulthood, and are therefore a relevant animal model to explore possible common mechanisms underlying mood disorders and obesity. Here, the obese phenotype of male and female Crtc1 −/− mice was further characterized by investigating CRTC1’s role in the homeostatic and hedonic regulation of food intake, as well as its influence on daily locomotor activity. Crtc1 −/− mice showed a strong gender difference in the homeostatic regulation of energy balance. Mutant males were hyperphagic and rapidly developed obesity on normal chow diet, whereas Crtc1 −/− females exhibited mild late-onset obesity without hyperphagia. Overeating of mutant males was accompanied by alterations in the expression of several orexigenic and anorexigenic hypothalamic genes, thus confirming a key role of CRTC1 in the central regulation of food intake. No alteration in preference and conditioned response for saccharine was observed in Crtc1 − /− mice, suggesting that mutant males’ hyperphagia was not due to an altered hedonic regulation of food intake. Intriguingly, mutant males exhibited a hyperphagic behavior only during the resting (diurnal) phase of the light cycle. This abnormal feeding behavior was associated with a higher diurnal locomotor activity indicating that the lack of CRTC1 may affect circadian rhythmicity. Collectively, these findings highlight the male-specific involvement of CRTC1 in the central control of energy balance and circadian locomotor activity.
Obesity, resulting from an impairment of energy balance, represents a main public health concern because of its comorbidity with diabetes, cardiovascular diseases, cancer, and psychiatric disorders1. Clinical studies report high prevalence of obesity in patients suffering of chronic mental illnesses, and among depressive subjects, those affected by atypical depression have the strongest odd to develop obesity2. If poor nutrition, lack of exercise, and psychiatric medication can explain, at least in part, why this psychiatric population develops obesity, growing evidence supports the hypothesis that the association of obesity and depression may originate from shared biological pathways3,4,5. Hence, in order to improve psychiatric outcomes, a better understanding of the neurobiological adaptations shared by these two pathologies is of the highest importance.
CREB-regulated transcription coactivator 1 (CRTC1) has recently been involved in mood regulation and energy balance6,7,8,9,10. This transcription coactivator, together with CRTC2 and CRTC3, constitutes a family of proteins that can detect cellular activation and stimulate CREB-dependent gene expression, independently of CREB phosphorylation11,12,13. CRTCs can sense many external inputs, such as hormones and neurotransmitters, by detecting cytoplasmic increase of calcium and cAMP levels. Upon cellular activation, they become dephosphorylated and translocate to the nucleus where they bind to CREB and activate the transcription of several tissue-specific CREB-regulated genes. Despite their different expression throughout the body, all the three CRTC members are involved in energy metabolism. CRTC3 is essentially expressed in the adipose tissue where it facilitates fat deposition14, whereas CRTC2 has been found to regulate gluconeogenesis and insulin sensitivity in the liver and the pancreas, respectively13,15,16,17. More recently, CRTC2 has also been detected in the brain, and in particular in the hypothalamus, where it is able to link glucose sensing with gene regulation18. Among the CRTC family members, CRTC1 is the most abundant in the brain, in particular in the prefrontal cortex, the hippocampus, the amygdala, and the hypothalamus19,20,21. Inside the hypothalamus, a key region for regulating energy balance, CRTC1 is present in the arcuate nucleus (ARC), in the ventromedial, and in the paraventricular hypothalamus21.
Recent evidence collected in Crtc1 −/− mice has established that not only the lack of CRTC1 induces hyperphagic obesity6,7, but it also triggers a depressive-like phenotype, which suggests that CRTC1 plays a role in mood disorder etiology and antidepressant response8,9,10. In agreement with these animal studies, two human investigations have highlighted an association of CRTC1 polymorphisms with body mass index and fat mass, and have suggested that CRTC1 is involved in the high prevalence of overweight and obesity observed in psychiatric patients and in subjects from the general population with major depressive disorder22,23. Altogether, these findings suggest that CRTC1 is a transcriptional coactivator reciprocally involved in the bidirectional relation between obesity and depression.
In this study, we further investigated the consequences of the lack of CRTC1 on the energy balance of Crtc1 −/− male and female mice, with the aim of better defining CRTC1-regulated molecular pathways involved in obesity, and possibly in mood disorders as well. Alterations in energy intake were assessed using three different approaches: (I) monitoring food consumption and body weight gain, (II) evaluating the expression of multiple genes in the ARC of the hypothalamus and (III) determining the integrity of the hedonic regulation of food intake by testing the preference and the conditioned response for saccharine. Moreover, the influence of CRTC1 on energy expenditure was assessed through the measure of the spontaneous and voluntary locomotor activity. Overall, our results confirm that CRTC1 is critical for the maintenance of energy balance and show, for the first time, the presence of a clear sexual dimorphism in the obesity of Crtc1 −/− mice, because males develop a more severe obesity than females, and are more active and hyperphagic during the resting (diurnal) phase of the light/dark cycle.
Materials and methods
Crtc1 −/− mice and Crtc1 +/+ wild-type (WT) littermates were obtained and genotyped as previously described7,8. Mice were housed in a temperature and humidity-controlled environment, and received water and standard rodent chow ad libitum under a 12-h dark–light cycle, unless otherwise specified. All behavioral experiments were carried out in the dark phase of the light cycle. Body weight measurements and behavioral assessments of the mice were not randomized nor blinded to the investigator. The procedures were performed in conformity with the Swiss National Institutional Guidelines on Animal Experimentation and approved by the Cantonal Veterinary Office.
Body weight and food intake measurements
Six-week-old males and females were single-housed, and their body weight and food intake measured weekly. Males were divided in two groups; the first was monitored until 8 weeks of age and the second until 36 weeks. Assessment of food intake and body weight of females was protracted until 52 weeks of age. Food consumption during the dark and light phase of the cycle was measured when males and females were 30 weeks old. The development of obesity in mutant females was also studied in an additional group of 6-week-old mice fed ad libitum with a high fat diet (HFD 2127—KLIBA NAFAG: carbohydrates 41.1%, proteins 23.9%, fats 35%, 5.68 Kcal/g) during 50 days.
Gene expression analysis
After body weight measurements, mice were killed and fresh brains were rapidly sliced into 1 mm-thick coronal sections in a mouse brain stainless steel matrix. The slice containing the hypothalamus was used to dissect the ARC by a micro-punch technique (0.98 mm diameter micro-punch, Stoelting). ARC RNA was extracted with an RNeasy Plus Minikit (Qiagen, Valencia, CA, USA) and converted in cDNA by reverse transcription reaction using TaqMan Reverse Transcriptase Reagents (Applied Biosystem). Real-time PCR amplification was performed with an ABIPRISM 7500 cycler and SYBER green PCR Master Mix (Applied Biosystem) using specific sets of primers (Mycrosynth AG). Forward and reverse primers for the tested genes are the following: β-actin = forward: 5′-GCTTCTTTGCAGCTCCTTCGT-3′, reverse: 5′-ATATCGTCATCCATGGCGAAC-3′; AgRP = forward: 5′-CGGAGGTGCTAGATCCACAGA-3′, reverse: 5′-AGGACTCGTGCAGCCTTACAC-3′; Cart = forward: 5′-TTCCTGCAATTCTTTCCTCTTGA-3′, reverse: 5′-GGGAATATGGGAACCGAAGGT-3′; Fto = forward: 5′-GGACATCGAGACACCAGGAT-3′, reverse: 5′-AGGTGCCTGTTGAGCACTCT-3′; Glp1r = forward: 5′-ACTTTCTTTCTCCGCCTTGGT-3′, reverse: 5′-TTCCTGGTGCAGTGCAAGTG-3′; LepRb = forward: 5′-GCATGCAGAATCAGTGATATTTGG-3′, reverse: 5′-CAAGCTGTATCGACACTGATTTCTTC-3′; Npy = forward: 5′-CAGAAAACGCCCCCAGAAC-3′, reverse: 5′-CGGGAGAACAAGTTTCATTTCC-3′; Npy-rY1 = forward: 5′-CAAGATATACATTCGCTTGA-3′, reverse: 5′-AGATTGTGGTTGCAGG-3′; Nor1 = forward: 5′-TGGCTCGACTCCATTAAAGAC-3′, reverse: 5′-TGCATAGCTCCTCCACTCTCT-3′. All samples were analyzed in triplicates. Relative gene expression was measured with the comparative ΔΔCt method24 and normalized with β-actin transcript levels.
Preference and conditioned response for saccharine
Two-bottle choice test
The preference for saccharine was assessed in Crtc1 −/− and WT mice at 16 weeks of age. Individually housed, mice had simultaneously free access to two drinking bottles, one containing tap water and the other 0.2% saccharine solution. The position of the two bottles in the cage was interchanged every day. Water and saccharine consumption was measured daily, along 4 days. Saccharine preference was calculated as preference ratio = (saccharine consumption/total liquid consumption) × 100.
Saccharine operant conditioning
Saccharine self-administration was measured in 8-week-old mice using eight operant chambers (Med Associated Inc., St. Albans, VT, USA). Mice were trained to self-administer saccharine 0.2% liquid reward on a fixed ratio 1, time out 3 s (FR1 TO3) schedule of reinforcement in the presence of an olfactory cue (apple aroma, Givaudan, Dübendorf, Switzerland) during 30-min daily sessions. A single nose entry in the active nosepoke activated a liquid dipper equipped with a 0.01 ml cup and a light cue located inside the nosepoke. The liquid reward remained available for 3 s once access to the liquid dipper had been detected with head entry detectors. Supplementary entries in the active nosepoke in the absence of head entry detection above the liquid dipper and entries in the inactive nosepoke were recorded but had no further consequence. During the early phase of acquisition, mice were restricted to the 85% of their daily food consumption. Once fed ad libitum, mice were trained until stable levels of intake (≤25% variation of the mean responses for three consecutive sessions). To reach this stability criterion of the acquisition phase, 18 and 13 daily sessions were required for males and females, respectively. Afterwards, mice underwent an extinction phase, which lasted 7 and 8 daily sessions for males and females, respectively, until completion of the extinction criterion (<30% of the mean responses obtained during the 3 days achieving the stabilization criterion across 3 consecutive extinction sessions). The day after the last extinction session, mice were tested for reinstatement of their nosepoking activities upon presentation of the olfactory and light cues, and the numbers of entries in the active and inactive nosepokes were recorded during 30-min sessions while no liquid reward was delivered. The number of nosepokes was used to compare Crtc1 −/− and WT mice along the entire procedure.
Measures of locomotor activity
Spontaneous locomotor activity
Spontaneous activity was recorded in standard conditions (food and water ad lib., L:D of 12:12) with a home-made apparatus (“NEPAAL”25). This device consists of 12 transparent Plexiglas home cages (30 × 50 × 40 cm) with sawdust on the floor and equipped with a passive infrared movement detector on the top, a food dispenser and a bottle of water. Eight-week-old mice were individually placed in the activity cages and habituated 1 week to the novel environment before starting recording. Activity was measured by 15 min bins over 7 days and was expressed in arbitrary units.
Activity in running wheel
Voluntary wheel running was monitored in standard cages equipped with a stainless steel wheel. Each wheel measured 23 cm of diameter and had a running lane width of 7.5 cm (2B Biological Instruments, Varese, Italy). Animals of 8 weeks of age were individually housed in running wheel cages and acclimated for 7 days before starting measurements. Water and food were provided ad libitum. Running activity (number of wheel revolutions/h) was recorded continuously for 1 week. For each mouse, the activity in the dark and light phase of the cycle was measured as the average of the last 3 days of the test, in which mice performance was stable.
All data reported in the text and figures are means ± s.e.m. The number of independent samples of each group is indicated in the figure legend. The non-homogenous number of animals tested in each group is either due to breeding difficulties (small number of WT and Crtc1 −/− mice per litter and limited breeding colony size), to technical problems during the gene expression analyses, or to the exclusion of samples according to a predefined criterion (scores that are more than 2 standard deviations above or below the mean). Sample sizes were determined based on power analysis and common practice in behavioral experiments (~12 animals per group). Before performing statistical comparisons, the normality of data distribution was verified with Shapiro–Wilk test. Since normality of saccharine operant conditioning and spontaneous activity were not fulfilled, raw data underwent logarithmic transformation. Basal body weight, gene expression, saccharine preference, total spontaneous activity, and total food intake over 24 h were compared with Student’s t test for independent samples, after evaluation of homoscedasticity with Levene’s test. Statistical analysis of body weight gain, cumulative food intake, saccharine operant conditioning, spontaneous activity, and food consumption in the dark and light phases, was done using a repeated measure two-way ANOVA followed by Bonferroni post hoc test for multiple comparisons, when appropriate. Sphericity assumption, for repeated measures, was verified with Mauchly’s test and degrees of freedom eventually corrected by Greenhouse–Geisser ε value. Running activity in dark and light phase was analyzed with Mann–Whitney U test for non-parametric independent samples. Statistical power of all analysis was between 0.8 and 1.0. Level of significance was set at P ≤ 0.05. All statistical analyses were performed with IBM SPSS Statistic 23.0 software (IBM, Armonk, NY, USA).
Crtc1 −/− male mice are hyperphagic and develop obesity
To characterize the obesity of Crtc1 −/− mice, we monitored food intake and body weight until 36 weeks of age in males and 52 weeks in females. Measures of food consumption revealed that starting from 8 weeks of age Crtc1 −/− males were hyperphagic and ate significantly more than controls (Fig. 1a). Unlike males, females did not exhibit any overeating behavior (Fig. 1d).
No significant difference was found in body weight between young Crtc1 −/− and WT mice. Indeed, at 6 weeks of age males (Crtc1 −/− = 22.10 ± 0.32, WT = 23.47 ± 0.41) and females (Crtc1 −/− = 18.58 ± 0.46, WT = 18.55 ± 0.79) of both genotypes showed similar weight (Fig. 1b, e). However, Crtc1 −/− males compared to females, exhibited a stronger body weight gain with aging. According with their early overeating, Crtc1 −/− males gained quickly more weight than controls (Fig. 1c). Measures of body weight gain revealed that Crtc1 −/− males were overweight from the 8th week of age (Bonferroni post hoc, P = 0.0019).
In contrast to males, Crtc1 −/− females, which did not show overeating, had a slower and more moderate body weight increase (Fig. 1f), as attested by repeated measures two-way ANOVA (genotype: F (1,24) = 10.527, P = 0.034; weeks: F ( 3.185,76.443) = 263.167, P < 0.001; genotype × weeks: F ( 3.185,76.443) = 0.508; P = 0.689), even though the Bonferroni post hoc test did not show any significant comparison. The elevated number of multiple comparisons affected this post hoc test, and therefore it did not reveal specifically at which weeks of age Crtc1 −/− females had a significant higher body weight gain, as compared with WT females. Nevertheless, the significant effect of the genotype revealed by the ANOVA showed that mutant females globally gained more weight than WT females. An independent weight gain comparison of the 52-week-old Crtc1 −/− and WT females actually confirmed this difference (Crtc1 −/− = 22.4 ± 1.9 versus WT = 16.7 ± 1.4, Student’s t test, P = 0.023). Further corroborating the absence of hyperphagia and early-onset obesity in mutant females, 6-week-old mice were fed ad libitum with HFD for 50 days (Supplementary Fig. S1). Crtc1 −/− and WT females consumed equivalent amount of HFD (repeated measures two-way ANOVA: genotype: F ( 1,12) = 1.637, P = 0.225; days: F ( 1.03,12.881) = 833.32, P < 0.001; genotype × days: F ( 1.03,12.881) = 1.336; P = 0.278) and gained similar body weight (repeated measures two-way ANOVA: genotype: F ( 1,12) = 0.62, P = 0.808; days: F ( 1.233,14793) = 37.464, P < 0.001; genotype × days: F ( 1.233,14793) = 0.421; P = 0.568). Taken together, these data show that the lack of CRTC1 seriously increases feeding behavior and body weight gain of male mice, whereas it has only a weak impact on energy balance of mutant females.
Orexigenic and anorexigenic gene expression is altered in the ARC of Crtc1 −/− males
Given the presence of CRTC1 in the ARC and the pivotal role played by this structure in the homeostatic regulation of food intake, we investigated whether Crtc1 −/− males’ hyperphagia could be linked to an imbalance in the expression of anorexigenic and orexigenic genes. We compared ARC gene expression in 8-week-old and 36-week-old Crtc1 −/− and WT males (Table 1 and Fig. 2a–h), as well as the relative expression of four anorexigenic genes (LepRb, Cart, Nor1, and Glp-r1), three orexigenic genes (AgRP, Npy, and Npy-y1) and the fat-mass-related and obesity-related gene (Fto). In the ARC of 36-week-old Crtc1 −/− males, we found significant downregulation of LepRb, Cart, Nor1, and Fto, increased expression of Npy and no change in the expression of AgRP, Npy-y1, and Glp-r1. At 8 weeks of age, the lack of Crtc1 induced significant reduction of Nor1 and Fto and upregulation of AgRP, as compared with WT males. On the other hand, we did not observe, at this age, any difference in the relative level of LepRb, Cart, Npy, Npy-y1, and Glp-r1. Consistent with the absence of hyperphagia, 52-week-old mutant females did not exhibit any change of Cart, AgRP, Npy, and Glp-r1 expression, but only increased levels of Npy-y1 (Supplementary Table S1 and Supplementary Fig. S2). Collectively, these results show that Crtc1 −/− males present perturbed expression of both orexigenic and anorexigenic genes, whereas the lack of CRTC1 does not induce major alterations in the homeostatic regulation of food intake in mutant females.
The hyperphagia of Crtc1 −/− males does not depend on increased preference for food rewards
Motivation to consume highly palatable food, which relies on the integrity of the reward system, is also essential for a proper feeding behavior. Crtc1 is also expressed in brain structures belonging to the reward system, but so far, no study has established whether the functionality of this system is compromised in Crtc1 −/− mice. Therefore, we compared Crtc1 −/− and WT mice for saccharine preference in a two-bottle choice test and assessed their capacity to seek for saccharine reward in an operant conditioning test.
The two-bottle choice tests revealed that mutant mice and controls had similar preference for saccharine (Fig. 2i, k), with a preference ratio for saccharine of 78.7% ± 2.5 in WT and of 81.2% ± 2.4 in Crtc1 ‒/‒ males. As expected, females of both genotype exhibited a clear-cut preference for saccharine as well (WT = 88.9% ± 1.4, Crtc1 ‒/‒ = 85.4% ± 2.5).
Both WT and Crtc1 ‒/‒ males were then trained for self-administering saccharine in a fixed ratio 1 schedule until stable intake, and after a period of extinction, we assessed their ability to reinstate their saccharine seeking behavior upon presentation of the light and olfactory cues (Fig. 2j). A two-way repeated measure ANOVA revealed a significant main effect for phase (F (2,28) = 103.44, P < 0.001) and genotype × phase (F (2,28) = 3.688, P = 0.038), but no effect for genotype (F ( 1,14) = 2.780, P = 0.118). Although Bonferroni post hoc tests did not reveal any significant difference between genotypes, the significant interaction revealed by the ANOVA most likely suggests that mutant males may display a tendency to collect less rewards than controls (WT = 70.0 ± 6.45 versus Crtc1 ‒/‒ = 40.5 ± 6.27 active nosepokes). As a consequence, despite both groups of mice exhibited a significant reinstatement of previously extinguished nosepoking behavior (WT = 25.9 ± 5.68 and Crtc1 ‒/‒ = 30.0 ± 7.20 active nosepokes), Crtc1 ‒/‒ mice manifested an enhanced reinstatement when expressed in function of their baseline intake of saccharine (WT = 36.8% ± 6.3 versus Crtc1 ‒/‒ = 71.0% ± 12.3, Student’s t test, P = 0.026), most likely due to a ceiling effect observed during saccharine consumption. In contrast, mutant and control females both exhibited similar acquisition, extinction, and reinstatement of saccharine seeking behaviors (Fig. 2l), suggesting that, overall, the lack of CRTC1 most likely does not impair operant responding for saccharine reward in mice.
Crtc1 −/− male mice move more during the light phase of the cycle
Since reduced energy expenditure could induce body weight gain, we monitored spontaneous locomotor activity of Crtc1 −/− mice in activity cages along 7 days. The total daily activity of mutant males (Fig. 3a) was similar to that of controls (WT = 4613.80 ± 418.38, Crtc1 ‒/‒ = 5465.70 ± 414.35), whereas Crtc1 ‒/‒ females (Fig. 3d) exhibited significant higher activity as compared to WT littermates (WT = 5245.10 ± 389.40, Crtc1 ‒/‒ = 6535.40 ± 414.35, Student’s t test, P = 0.026). A deeper analysis of Crtc1 ‒/‒ mice activity during the light and dark phase of the light cycle pointed out a strong difference in males’ and females’ behavior (Fig. 3b, e). Mutant females behaved like control females in the light phase and moved a little bit more during the dark phase as shown by repeated measures two-way ANOVA. (genotype: F (1,18) = 5.17; P = 0.035; phase: F (1,18) = 344.64; P < 0.001; phase × genotype: F (1,18) = 0.56; P = 0.464). However, Bonferroni post hoc test did not show any statistical difference between WT and mutant females in this phase of the cycle (P = 0.237). Intriguingly, Crtc1 ‒/‒ males presented opposite behavior moving as much as controls in the dark phase and significantly more in the light phase (Bonferroni post hoc test, P < 0.001).
To better characterize this sustained activity of mutant males during the resting phase, we plotted the daily activity on a scale of one-hour intervals (Fig. 3c). Mutant males, compared to controls, moved more when the light was switched on and maintained a significant higher activity along all the light phase (repeated measures two-way ANOVA: genotype: F (1,22) = 21.029; P < 0.001; hours: F (6.65,146.3) = 44.42; P < 0.001; hours × genotype: F (6.65,146.3) = 7.85; P < 0.001). In contrast to what was observed with males, the same hour-by-hour analysis did not reveal any increase in activity of mutant females during the resting phase (Fig. 3f). Seven-day-double-plotted actograms of a representative male and female mouse of both groups clearly showed that Crtc1 ‒/‒ males, but not females, have a perturbed circadian locomotor activity (Fig. 4a).
To confirm the increased mobility of Crtc1 ‒/‒ males during the light period of the cycle we also measured their voluntary activity in cages equipped with a running wheel (Fig. 4b–e). According to what was observed in the activity cages, mutant males ran more during the light phase, whereas their wheel turns in the dark phase were comparable to those of controls. Consistent with their spontaneous activity, mutant females (Fig. 4d, e) ran as much as control females during the light phase. Taken together, these results show that mutant males, but not females, move more in the resting phase and have a perturbed light/dark activity.
Crtc1 −/− male mice eat more during the light phase
To verify whether there was a relation between hyperphagia and light phase activity of Crtc1 ‒/‒ males, we determined the quantity of food eaten at the end of the dark and the light phase of the daily cycle. 24-hour food intake of Crtc1 ‒/‒ males was significantly higher than controls (WT = 4.35 ± 0.15, Crtc1 ‒/‒ = 5.60 ± 0.17, P = 0.004, Student’s t test) confirming the overeating behavior observed during weekly measurements. When we calculated the quantity of food ingested per phase, we found a consumption of 3.66 g ± 0.14 for Crtc1 ‒/‒ males and of 3.36 g ± 0.13 for WT in the dark phase and of 1.93 g ± 0.19 and 1.00 g ± 0.14 (Bonferroni post hoc test, P < 0.001) in the light phase, respectively (Fig. 4f). These data support our hypothesis that the hyperphagia of Crtc1 ‒/‒ males occurs only during the light phase of the cycle. As expected, Crtc1 ‒/‒ females (Fig. 4g), which did not show overeating along all measures of food intake, ate as much as their WT littermates in 24-h (WT = 4.44 g ± 0.14, Crtc1 ‒/‒ = 4.28 g ± 0.24). Food consumption in the active phase (WT = 3.49 g ± 0.13, Crtc1 ‒/‒ = 3.09 g ± 0.12) and in the resting phase (WT = 0.95 g ± 0.11, Crtc1 ‒/‒. = 1.19 g ± 0.17) was similar in both genotypes. In conclusion, these data suggest that the obesity of Crtc1 mutant males depends, at least in part, on increased food consumption during the resting phase.
Overall, our work confirms the crucial role played by CRTC1 in energy balance, previously observed by Altarejos et al.6, and shows that male mice lacking CRTC1 are hyperphagic and more vulnerable to develop obesity than mutant females, and this, from the beginning of adulthood. Indeed, mutant females exhibited a mild late-onset obesity without hyperphagia. We also found similar preference and self-administration responding for saccharine in both sexes. Finally, we observed an altered circadian activity in mutant males only.
So far, many neurobiological pathways responsible for food intake regulation have been identified in the brain26. The hypothalamus plays an essential role in controlling hunger and satiety. Due to the anatomical localization of the ARC, it is the first hypothalamic region that receives peripheral signals informing the brain about energy availability. Among these peripheral signals, leptin that is released by adipocytes, promotes fasting by stimulating CART/POMC neurons and inhibiting AgRP/NPY neurons through the binding to its receptor (LepRb)27. However, in obesity the large amount of leptin released by the adipose tissue leads to ARC neurons leptin insensitivity (also called leptin resistance) and contributes to food overconsumption. Interestingly, Altarejos et al. have observed that 36-week-old Crtc1 ‒/‒ mice are leptin resistant6. Many mechanisms have been proposed to explain leptin resistance, and one of them is a weak expression of the long form of the leptin receptors (LepRb) in the brain28. Accordingly, we found a significant reduction of the transcript levels for LepRb in overweight Crtc1 ‒/‒ males, but not in young mutant males.
Recent studies have also shown that leptin can modulate the transcription of CREB-dependent genes by directly facilitating CREB phosphorylation29,30 or by enhancing CRTC1 nuclear translocation31. Because Cart is a CREB-regulated gene, we expected to find reduced levels of Cart transcript in both young and old Crtc1 ‒/‒ males. Surprisingly, only old and obese Crtc1 ‒/‒ males have lowered levels of Cart transcript, whereas young mice have not. Therefore, the deletion of Crtc1 per se does not seem to affect Cart transcription. Two mechanisms may explain this observation. First, our mice are constitutive knockout and the presence of CRTC2 in the ARC might compensate for CRTC1 deficiency18. Second, CREB phosphorylation is independent from CRTC1 activity and so, even in its absence, leptin-induced CREB activation may be sufficient to allow Cart transcription. Conversely, the impairment of leptin signal in old Crtc1 ‒/‒ males, due to lowered LepRb expression, would have a more detrimental effect on CREB activation leading to reduced Cart transcription. Together, these results suggest that appropriate leptin signaling may be crucial for Cart expression.
Since young Crtc1 ‒/‒ males, despite unchanged Cart expression, ate more than their age-matched controls, we explored the possibility that Crtc1 ‒/‒ males overeating would depend on the impaired expression of other CREB-regulated genes. The neuron-derived orphan receptor 1 (NOR1), also known as NR4A3, is a protein belonging to the nuclear receptor superfamily of transcription factors32. The transcription of Nor1 is under the control of CREB and we already reported lowered Nor1 mRNA levels in the prefrontal cortex and in the hippocampus of Crtc1 ‒/‒ mice8. Recently, a work of Kim et al. has shown that, in ARC neurons leptin seems to facilitate Nor1 transcription through CREB recruitment and that in turn, Nor1 would reduce appetite by antagonizing glucocorticoid-induced AgRP release and inhibiting Npy transcription33. According to this mechanism, we found that Crtc1 ‒/‒ males, compared to their age-matched controls, have significantly lower levels of Nor1 transcript. Moreover, this change in Nor1 expression was associated with a rise of AgRP and Npy mRNA level in young and old Crtc1 ‒/‒ males, respectively. Overall, our findings suggest that, the overeating of young Crtc1 ‒/‒ males may be induced by the impaired expression of Nor1 and that the appetite of older Crtc1 ‒/‒ mice would be affected by a concurrent reduction of Nor1 and Cart transcription.
The gene coding for the NPY receptor type 1 (NPY-1R) is another anorexic CREB-regulated gene34. The comparison between Crtc1 mutant males and WT littermates at 8 and 36 weeks of age did not reveal any alteration in the expression of this gene indicating that it would not play a critical role in their hyperphagic behavior.
Fat-mass-related and obesity-related gene (Fto) is an mRNA demethylase whose enzymatic activity has been associated with increased body mass index and obesity vulnerability. Although its physiological functions remain largely unknown, recent investigations have begun to unravel the link between this enzyme and energy balance35. In rodents, it has been found that ARC Fto expression is lowered during fasting36. Moreover, it seems that this enzyme would delay CREB dephosphorylation and would inhibit food intake through the expression of Npy-1r and Bdnf 37. In contrast to these previous works, we found a lower level of Fto transcript in both young and old Crtc1 ‒/‒ males. Therefore, additional studies are required to understand more in detail the physiological role of FTO in energy balance regulation, and how CRTC1 interferes with the transcription of this mRNA demethylase.
The glucagon-like peptide 1 is a peptide that acts as a strong feeding suppressor in the hypothalamus upon the binding with its receptor (GLP-R1)38. The overlapping distribution of GLP-1R and CRTC1 in the hypothalamus, led us to investigate whether the lack of CRTC1 could affect the expression of this receptor, but our findings indeed show no alteration of its expression.
Unlike males, Crtc1 ‒/‒ females do not exhibit any food overconsumption. Consistent with a normal feeding behavior, 52-week-old Crtc1 ‒/‒ females do not show any modification in the gene expression pattern, except for a significant increase in Npy-1r transcript. This sexual dimorphism was not described in the previous study of Altarejos et al6. Further investigations are needed to understand why the lack of Crtc1 impairs males preferentially, and in particular delineating a putative effect of sex hormones on the CREB–CRTC1 pathway would be of the highest relevance. Indeed, Choong et al. established that the vulnerability to develop obesity in patients bearing a CRTC1 polymorphism varied between men and women, suggesting that estrogen levels most likely modulate the effect of this CRTC1 polymorphism on fat accumulation22.
Eating is a complex behavior driven by energy need and food rewarding properties. Whereas the homeostatic control of food intake depends on the functionality of the hypothalamic nuclei, the motivation to consume highly palatable food is governed by the reward system. Neurons of both systems are intimately interconnected39. In particular, lateral hypothalamic neurons, which integrate signals coming from other hypothalamic nuclei, project to VTA-dopaminergic neurons and regulate reward seeking behavior through the modulation of dopamine release. Leptin participates in this modulation by inhibiting dopamine release and consequently the rewarding properties of food40. Thus, impaired leptin signaling, as that observed in case of leptin insensitivity, may facilitate food overconsumption.
Considering the relevance of non-homeostatic feeding27, the fact that CRTC1 is abundantly expressed in brain structures belonging to the reward system, and finally the leptin resistance showed by Crtc1 mutant mice, we explored the possibility that their overeating could arise from impairments in reward appreciation. Noteworthy, regardless of their genotype and sex, all mice exhibited a drastic preference for sweetened taste over tap water, and the ability to acquire a stable saccharine intake in an operant conditioning paradigm. Furthermore, they all manifested a strong capacity to associate reward delivery and reward-paired cues, as attested by the reinstatement of their previously extinguished nosepoking behavior upon presentation of the olfactory and light cues.
Because Crtc1 ‒/‒ males may have earned less rewards during acquisition of saccharine self-administration, an observation in line with a previous report of ours indicating that these mutant mice moved less in response to moderate stressful environments8, we considered the possibility that Crtc1 ‒/‒ males obesity could also depend on insufficient energy expenditure. To answer this question, and avoid confusion due to excessive overweight, we monitored spontaneous and motivated locomotor activity in young Crtc1 ‒/‒ mice. Although Crtc1 ‒/‒ and WT males had similar total activity, a more detailed analysis of their behavior showed a great difference between the dark and the light phase of the cycle. In fact, mutant males, as expected moved more during the light phase. Contrastingly, Crtc1 ‒/‒ females were globally more active than control females but this extra activity was present only in the dark phase. Voluntary exercise in running wheels confirmed that Crtc1 ‒/‒ males, but not females, run more than controls in the light phase. Collectively, these results highlight a different locomotor phenotype in Crtc1 ‒/‒ females and males and show that these latter exhibit a perturbed nychtemeral activity.
Because of this observation, we tested the hypothesis that diurnal activity of Crtc1 ‒/‒ males could coincide with increased food seeking and food intake. Therefore, we measured food intake in the two phases of the light cycle. Crtc1 ‒/‒ and WT females consumed similar amount of food both in the dark and light phase. In contrast, mutant males showed overeating only during the resting phase. Altogether, these findings highlight a perturbation of the circadian rhythms of feeding and locomotor activities in Crtc1 ‒/‒ males, thus suggesting that Crtc1 inactivation induces a gender-specific alteration of important functions regulated by the circadian clock network. Interestingly, recent reports have pointed out the participation of CRTC1 in master clock entrainment41,42. Future investigations should unravel the role of this transcription coactivator in the regulation of clock genes in the suprachiasmatic nucleus and other brain regions.
Accumulating evidence indicates that disrupted synchronization of feeding and sleeping time with the master clock results in dampening of metabolic and endocrine functions. Concerning obesity, alterations in adipogenesis, satiety signaling, and energy metabolism have all been associated with circadian regulation43. Likewise, the lack of synchrony of the internal clock with the daily light cycle affect glucocorticoid levels and stress reactivity facilitating the development of emotional disturbances, namely depression44. In conclusion, improved knowledge of the mechanisms through which CRTC1 synchronizes metabolic functions with the light cycle may facilitate our understanding of the biological processes underlying the interaction between obesity and depression.
Kopelman, P. G. Obesity as a medical problem. Nature 404, 635–643 (2000).
Lasserre, A. M. et al. Depression with atypical features and increase in obesity, body mass index, waist circumference, and fat mass: a prospective, population-based study. JAMA Psychiatry 71, 880–888 (2014).
Bornstein, S. R., Schuppenies, A., Wong, M. L. & Licinio, J. Approaching the shared biology of obesity and depression: the stress axis as the locus of gene-environment interactions. Mol. Psychiatry 11, 892–902 (2006).
Soczynska, J. K. et al. Mood disorders and obesity: understanding inflammation as a pathophysiological nexus. Neuromolecular. Med. 13, 93–116 (2011).
Rossetti, C., Halfon, O. & Boutrel, B. Controversies about a common etiology for eating and mood disorders. Front. Psychol. 5, 1205 (2014).
Altarejos, J. Y. et al. The Creb1 coactivator Crtc1 is required for energy balance and fertility. Nat. Med. 14, 1112–1117 (2008).
Breuillaud, L., Halfon, O., Magistretti, P. J., Pralong, F. P. & Cardinaux, J. R. Mouse fertility is not dependent on the CREB coactivator Crtc1. Nat. Med. 15, 989–990 (2009).
Breuillaud, L. et al. Deletion of CREB-regulated transcription coactivator 1 induces pathological aggression, depression-related behaviors, and neuroplasticity genes dysregulation in mice. Biol. Psychiatry 72, 528–536 (2012).
Meylan, E. M. et al. Involvement of the agmatinergic system in the depressive-like phenotype of the Crtc1 knockout mouse model of depression. Transl. Psychiatry 6, e852 (2016).
Meylan, E. M., Halfon, O., Magistretti, P. J. & Cardinaux, J. R. The HDAC inhibitor SAHA improves depressive-like behavior of CRTC1-deficient mice: Possible relevance for treatment-resistant depression. Neuropharmacology 107, 111–121 (2016).
Conkright, M. D. et al. TORCs: transducers of regulated CREB activity. Mol. Cell. 12, 413–423 (2003).
Iourgenko, V. et al. Identification of a family of cAMP response element-binding protein coactivators by genome-scale functional analysis in mammalian cells. Proc. Natl Acad. Sci. USA 100, 12147–12152 (2003).
Altarejos, J. Y. & Montminy, M. CREB and the CRTC co-activators: sensors for hormonal and metabolic signals. Nat. Rev. Mol. Cell. Biol. 12, 141–151 (2011).
Song, Y. et al. CRTC3 links catecholamine signalling to energy balance. Nature 468, 933–939 (2010).
Koo, S. H. et al. The CREB coactivator TORC2 is a key regulator of fasting glucose metabolism. Nature 437, 1109–1111 (2005).
Liu, Y. et al. A fasting inducible switch modulates gluconeogenesis via activator/coactivator exchange. Nature 456, 269–273 (2008).
Wang, Y. et al. Targeted disruption of the CREB coactivator Crtc2 increases insulin sensitivity. Proc. Natl Acad. Sci. USA 107, 3087–3092 (2010).
Lerner, R. G., Depatie, C., Rutter, G. A., Screaton, R. A. & Balthasar, N. A role for the CREB co-activator CRTC2 in the hypothalamic mechanisms linking glucose sensing with gene regulation. EMBO Rep. 10, 1175–1181 (2009).
Kovács, K. A. et al. TORC1 is a calcium- and cAMP-sensitive coincidence detector involved in hippocampal long-term synaptic plasticity. Proc. Natl Acad. Sci. USA 104, 4700–4705 (2007).
Li, S., Zhang, C., Takemori, H., Zhou, Y. & Xiong, Z. Q. TORC1 regulates activity-dependent CREB-target gene transcription and dendritic growth of developing cortical neurons. J. Neurosci. 29, 2334–2343 (2009).
Watts, A. G., Sanchez-Watts, G., Liu, Y. & Aguilera, G. The distribution of messenger RNAs encoding the three isoforms of the transducer of regulated cAMP responsive element binding protein activity in the rat forebrain. J. Neuroendocrinol. 23, 754–766 (2011).
Choong, E. et al. Influence of CRTC1 polymorphisms on body mass index and fat mass in psychiatric patients and the general adult population. JAMA Psychiatry 70, 1011–1019 (2013).
Quteineh, L. et al. Association of CRTC1 polymorphisms with obesity markers in subjects from the general population with lifetime depression. J. Affect. Disord. 198, 43–49 (2016).
Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-delta delta C(T)) method. Methods 25, 402–408 (2001).
Petit, J. M. et al. Metabolic response of the cerebral cortex following gentle sleep deprivation and modafinil administration. Sleep 33, 901–908 (2010).
Williams, K. W. & Elmquist, J. K. From neuroanatomy to behavior: central integration of peripheral signals regulating feeding behavior. Nat. Neurosci. 15, 1350–1355 (2012).
Pandit, R., de Jong, J. W., Vanderschuren, L. J. & Adan, R. A. Neurobiology of overeating and obesity: the role of melanocortins and beyond. Eur. J. Pharmacol. 660, 28–42 (2011).
Balland, E. & Cowley, M. A. New insights in leptin resistance mechanisms in mice. Front. Neuroendocrinol. 39, 59–65 (2015).
Catalano, S. et al. Evidence that leptin through STAT and CREB signaling enhances cyclin D1 expression and promotes human endometrial cancer proliferation. J. Cell. Physiol. 218, 490–500 (2009).
Nduati, V. et al. Leptin transcriptionally enhances peptide transporter (hPepT1) expression and activity via the cAMP-response element-binding protein and Cdx2 transcription factors. J. Biol. Chem. 282, 1359–1373 (2007).
Kim, G. H. et al. Leptin recruits Creb-regulated transcriptional coactivator 1 to improve hyperglycemia in insulin-deficient diabetes. Mol. Metab. 4, 227–236 (2015).
Close, A. F., Rouillard, C. & Buteau, J. NR4A orphan nuclear receptors in glucose homeostasis: a minireview. Diabetes Metab. 39, 478–484 (2013).
Kim, S. G. et al. Control of energy balance by hypothalamic gene circuitry involving two nuclear receptors, neuron-derived orphan receptor 1 and glucocorticoid receptor. Mol. Cell Biol. 33, 3826–3834 (2013).
Kamiji, M. M. & Inui, A. Neuropeptide y receptor selective ligands in the treatment of obesity. Endocr. Rev. 28, 664–684 (2007).
Gerken, T. et al. The obesity-associated FTO gene encodes a 2-oxoglutarate-dependent nucleic acid demethylase. Science 318, 1469–1472 (2007).
Wang, P. et al. Involvement of leptin receptor long isoform (LepRb)-STAT3 signaling pathway in brain fat mass- and obesity-associated (FTO) downregulation during energy restriction. Mol. Med. 17, 523–532 (2011).
Lin, L., Hales, C. M., Garber, K. & Jin, P. Fat mass and obesity-associated (FTO) protein interacts with CaMKII and modulates the activity of CREB signaling pathway. Hum. Mol. Genet. 23, 3299–3306 (2014).
Barrera, J. G., Sandoval, D. A., D’Alessio, D. A. & Seeley, R. J. GLP-1 and energy balance: an integrated model of short-term and long-term control. Nat. Rev. Endocrinol. 7, 507–516 (2011).
Lutter, M. & Nestler, E. J. Homeostatic and hedonic signals interact in the regulation of food intake. J. Nutr. 139, 629–632 (2009).
Hommel, J. D. et al. Leptin receptor signaling in midbrain dopamine neurons regulates feeding. Neuron 51, 801–810 (2006).
Jagannath, A. et al. The CRTC1-SIK1 pathway regulates entrainment of the circadian clock. Cell 154, 1100–1111 (2013).
Sakamoto, K. et al. Clock and light regulation of the CREB coactivator CRTC1 in the suprachiasmatic circadian clock. J. Neurosci. 33, 9021–9027 (2013).
Bray, M. S. & Young, M. E. Chronobiological effects on obesity. Curr. Obes. Rep. 1, 9–15 (2012).
Salgado-Delgado, R., Tapia Osorio, A., Saderi, N. & Escobar, C. Disruption of circadian rhythms: a crucial factor in the etiology of depression. Depress. Res. Treat. 2011, 839743 (2011).
This work was partly funded by a grant from the Swiss National Science Foundation (31003A-135692), and supported by the National Centre of Competence in Research (NCCR) Synapsy.
The authors declare that they have no competing financial interest.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Rossetti, C., Sciarra, D., Petit, J. et al. Gender-specific alteration of energy balance and circadian locomotor activity in the Crtc1 knockout mouse model of depression. Transl Psychiatry 7, 1269 (2017). https://doi.org/10.1038/s41398-017-0023-4
Bioinformatics analysis and transcriptional regulation of TORC1 gene through transcription factors NRF1 and Smad3 in bovine preadipocytes
Psychotropic drug-induced genetic-epigenetic modulation of CRTC1 gene is associated with early weight gain in a prospective study of psychiatric patients
Clinical Epigenetics (2019)
Genetic and epigenetic regulation of CRTC1 in human eating behaviour and fat distribution: Methodological and clinical insights and considerations
Trends in Neurosciences (2017)