Skip to main content
Endocrinology logoLink to Endocrinology
. 2014 Sep 11;155(12):4843–4855. doi: 10.1210/en.2014-1497

Assessing Interactions Between Ghsr and Mc3r Reveals a Role for AgRP in the Expression of Food Anticipatory Activity in Male Mice

Clemence Girardet 1, Maria Mavrikaki 1, Mark R Southern 1, Roy G Smith 1, Andrew A Butler 1,✉
PMCID: PMC4239417  PMID: 25211592

Abstract

The stomach hormone ghrelin and hypothalamic melanocortin neurons belong to a gut-brain circuit controlling appetite and metabolic homeostasis. Mice lacking melanocortin-3 receptor (Mc3rKO) or growth hormone secretagogue receptor (GhsrKO) genes exhibit attenuated food anticipatory activity (FAA), a rise in locomotor activity anticipating mealtime, suggesting common circuitry regulating anticipatory responses to nutrient loading. To investigate the interaction between Ghsrs and Mc3rs, we compared food anticipatory responses in GhsrKO, Mc3rKO, and double Ghsr;Mc3r knockout (DKO) mice subjected to a hypocaloric restricted feeding (RF) protocol in constant dark or 12-hour light, 12-hour dark settings. DKO are viable, exhibiting no overt behavioral or metabolic phenotypes in ad libitum or fasting conditions. FAA was initially attenuated in all mutant strains in constant darkness. However, GhsrKO eventually exhibited a robust food anticipatory response, suggesting compensation. Mc3rKO and DKO did not compensate, indicating a continued requirement for Mc3rs in maintaining the expression of FAA in situations of RF. Abnormal regulation of hypothalamic agouti-related peptide/neuropeptide Y (AgRP/Npy) neurons previously observed during fasting may contribute to attenuated FAA in Mc3rKO. AgRP and Npy expression measured 1 hour before food presentation correlated positively with FAA. Absence of Mc3rs (but not Ghsrs) was associated with lower AgRP/Npy expression, suggesting attenuated responses to signals of negative energy balance. These observations support the importance of Mc3rs as modulators of anticipatory responses to feeding, with mice able to compensate for loss of Ghsrs. The behavioral deficits of Mc3rKO displayed during RF may be partially explained by reduced hunger sensations owing to abnormal regulation of orexigenic AgRP/Npy neurons.


Energy homeostasis is accomplished by balancing energy intake with energy expenditure and the levels of energy reserves found predominantly in the triacylglycerol pools maintained by adipocytes. Although energy expenditure is obligatory, nutrient availability is often intermittent. Homeostasis thus depends on adapting feeding-related behaviors and metabolism with irregular nutrient supply.

When food access is restricted temporally, most organisms rapidly develop anticipatory responses to food presentation. This phenomenon has been investigated in rodent models using a variety of metrics (core body temperature, home cage activity, wakefulness, running wheel behavior, and the secretion of neuroendocrine hormones related to metabolic control) (1–4). “Feed-forward” homeostatic responses to nutrient loading ensure that optimal feeding-related behaviors and metabolic activity coincide with nutrient availability. The systems governing anticipatory responses to nutrient availability act in synchrony with those correlating meal sizes with the body's metabolic requirements and energy reserves. Dual control of meal size and the synchronization of diverse metabolic activities with nutrient availability protect against obesity while also avoiding toxicity associated with large excursions in the plasma nutrient load (5).

Consistent with the need to both anticipate and control the size of nutrient loading, the gut-brain circuits initially linked to appetite and metabolic control also function as modulators of food anticipatory responses (1, 6–8). Plasma levels of the acylated form of ghrelin, a 28-amino acid hormone secreted by cells lining the fundus of the stomach, exhibit a daily rhythm with peak levels that coincide with meal initiation (8–11). Ghrelin may stimulate meal initiation via activation of GH secretagogue receptors (Ghsrs) expressed in the centers of the brain known to regulate satiety (12–15). Activity of ghrelin-secreting cells is controlled by a “food entrainable oscillator” that synchronizes ghrelin release with established feeding times (16). The expression of food anticipatory activity (FAA), a progressive rise in locomotor activity anticipating meal time that exhibits features suggesting a time keeping mechanism, is attenuated in Ghsr knockout (KO) mice (17, 18) and rats treated with a ghrelin receptor antagonist (11). Although controversial, ghrelin also has an important role in maintaining metabolic homeostasis during hypocaloric feeding schedules that involve periodic fasting and reflexive refeeding (19–23).

FAA is also attenuated in mice lacking melanocortin-3 receptors (Mc3rKO) (24–26), whereas Mc3rKO fail to maintain metabolic homeostasis when subjected to restricted feeding (RF) (27). During fasting, Mc3rKO exhibit abnormal fasting responses, including an attenuated increase in the expression of agouti-related peptide (AgRP), a biased melanocortin receptor agonist that stimulates appetite when administered intracerebroventricularly (28). Collectively, these data suggest that Mc3rs have important roles in the acute and long-term adaptation to nutrient scarcity and in food anticipatory responses.

Mc3rs are a component of the central nervous melanocortin system, a neural network extending from the arcuate nucleus of the hypothalamus (ARC) and nucleus tractus solitarius to areas of the brain known to control appetite and metabolic activity (29, 30). “First order” melanocortin neurons expressing endogenous ligands respond to systemic signals of metabolic state, including ghrelin. Melanocortin neurons coexpressing Ghsr and AgRP at least partially mediate the stimulatory effects of ghrelin on food intake (15, 31–36). In addition, Ghsrs and Mc3rs coexpressed in ARC neurons may form heterodimers (37). Ghsrs and Mc3rs may thus interact directly and transsynaptically to modulate food anticipatory behaviors. However, independent actions involving receptors expressed separately in other hypothalamic and limbic structures are also possible.

The studies presented herein had 2 objectives. Because Mc3rs and Ghsrs both function to adapt behavior and metabolic homeostasis to periodic nutrient loading, we initially investigated whether deletion of both genes would have additive effects on anticipatory responses to nutrient loading. If the receptors function independently, and can compensate for the loss of the other receptor, we hypothesized that double Mc3r; Ghsr KO (DKO) mice would exhibit a more pronounced behavioral and metabolic phenotype in situations of RF compared with single KOs. The second objective was to investigate whether the abnormal fasting response reported in Mc3rKO (28) contributes to the attenuated response of this model to RF.

Materials and Methods

Animal husbandry

All studies were approved by the Scripps Research Institute Institutional Animal Care and Use Committee. Mc3rKO [B6(Cg)-Mc3rtm1Butl/J] generated by our laboratory using C57BL/6J (B6) embryonic stem cells (25) were on a mixed C57BL/6J and C57BL/6N background. GhsrKO had been backcrossed onto the C56BL/6J background for more than 12 generations (13). Double heterozygous (+/−) mice generated by mating male Mc3rKO with female GhsrKO were intercrossed to generate mice used in subsequent breeding steps: Mc3r−/−;Ghsr+/− males bred with Mc3r+/−;Ghsr−/− females to produce Mc3r−/−;Ghsr−/− mice (DKO). GhsrKO mice were generated using homozygous GhsrKO males and females. Mc3rKO were generated using Mc3rKO males crossed with Mc3r+/− females. Controls for the study were obtained from wild type (WT) mated with Ghsr+/− mice. The studies presented here used males housed at a constant temperature of 23°C with food and water provided ad libitum under a 12-hour light, 12-hour dark (LD) cycle, unless otherwise specified.

Assessment of FAA using running wheels

WT (n = 12), Mc3rKO (n = 6), GhsrKO (n = 10), and DKO (n = 10) male mice aged 8–12 weeks were individually housed in cages equipped with running wheels. After a 2-week acclimation period in a LD cycle, the mice were transferred to constant darkness (DD) for 3 weeks. FAA was then assessed using a hypocaloric RF protocol previously used by our laboratory (24–26). Briefly, mice received 3 g of purified low-fat high-carbohydrate diet (D12450B; Research Diets, Inc) every 24 hours in the middle of their inactive phase. After 4 weeks of RF, the mice were returned to ad libitum feeding conditions for 12 days, before being transferred back to LD. After 2 weeks in an ad libitum feeding condition in LD, the mice were submitted to a second RF protocol for 2 weeks. Note that the use of the same animals for multiple RF protocols separated by a recovery period has already been reported (38, 39). Mice were then euthanized 1 hour before the scheduled meal presentation and brains collected and snap frozen using an isopentane/dry ice mush. Wheel-running data were analyzed using Clocklab software (Actimetrics). Cage changes were performed every 2–3 weeks, with night-vision goggles used when mice were housed in DD.

Assessment of body composition and metabolic parameters

Body composition was determined using nuclear magnetic resonance (Bruker Minispec). Metabolic parameters were assessed using a 16-chamber comprehensive laboratory animal monitoring system (Columbus Instrument) using 10-week-old male mice fed regular chow. After 24 hours of acclimation, the respiratory exchange ratio (RER), oxygen consumption (VO2) and activity (breaks in infrared light beams in the X axis) were measured for 2 days. The mice were then fasted overnight (16 h), followed by 7 hours of food access. Diet-induced obesity (DIO) was investigated using male mice fed a high-fat diet (HFD) (60% kcal from fat; Research Diets, Inc) for 8 weeks starting at 20 weeks of age. At the end of the HFD experiment, trunk blood was collected after an overnight fast (16 h).

Blood chemistries

Trunk blood was collected after decapitation and centrifuged at 1000g at 4°C for 10 minutes. Plasma glucose and triglycerides (TGs) were assessed using the Cobas c311 (Roche). Plasma insulin was measured with a mouse insulin ELISA kit (Crystal Chem). The intra-assay coefficient of variation for the insulin assay was less than 10%, whereas the inter-assay coefficient of variation was 25%. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated as previously described (40). Intraperitoneal glucose tolerance tests were performed before the introduction of the HFD and after 6 weeks on this diet using a One Touch Ultra 2 glucometer (Lifesccan, Inc). Briefly, the mice were fasted for 16 hours, and blood glucose was measured before and at 15, 30, 60, and 90 minutes after an injection of D-glucose (1 g/kg; Sigma). Blood glucose was also monitored every 2 hours from lights on (zeitgeber time 0) until lights off (zeitgeber time 12) on the 15th day of the second RF protocol.

Gene expression analysis

Hypothalami were dissected from the frozen brains on dry ice, and total RNA was extracted using the TRIzol reagent (Invitrogen, Life Technologies). Total RNA was treated with a DNA-free kit (Ambion, Life Technologies) to remove genomic DNA contamination, and 1 μg was used for cDNA synthesis using a SuperScript III Reverse Transcriptase kit (Invitrogen). Quantitative PCR was then performed in 96- or 384-well plates using TaqMan gene expression and a One Step Plus or ABI PRISM 7900 HT Detection System (Applied Biosystems, Life Technologies). Glyceraldehyde 3-phosphate dehydrogenase or cyclophilin A was used as reference gene.

Statistical analysis

All data are presented as mean ± SEM. Statistical analyses were performed using Prism 6 statistical software (GraphPad Software, Inc). Differences between genotypes were assessed by either ANOVA followed by Tukey's post hoc test or unpaired t test according to the experimental design. Effect of genotype and diet were analyzed using two-way ANOVA followed by Tukey's post hoc test. Pearson correlation was used to evaluate the relationship between FAA and the level of each hypothalamic transcript studied. P < .05 were considered significant.

Results

Effect of genotype on body composition and energy homeostasis

The inheritance of the null alleles exhibited a normal Mendelian distribution, indicating no lethality associated with loss of both Mc3r and Ghsr genes. Although Mc3rKO mice weaned onto rodent chow exhibited normal body weight at 8 and 20 weeks of age (Figure 1, A and D), they exhibited the increased fat mass (FM) and reduced fat-free mass (FFM) that is a defining feature of this strain (Figure 1, B and E). Body weight and composition of GhsrKO mice was normal (Figure 1, A, B, D, and E). DKO mice exhibited decreased body weight compared with all other genotypes at 8 weeks (Figure 1A) with reduced FFM (Figure 1B) and adiposity (FM % as a body weight) when compared with Mc3rKO (Figure 1C). However, by 20 weeks, adiposity of DKO and Mc3rKO was not significantly different, suggesting a delayed onset of obesity (Figure 1E). We also observed delayed DIO in GhsrKO mice relative to DKO and Mc3rKO (two-way ANOVA, effects of genotype F(15,252) = 31.96, P < .0001; effects of time F(5,252) = 96.16, P < .0001; genotype X time F(3,27) = 31.93, P > .05) (data not shown). GhsrKO also exhibited improved insulin sensitivity, with lower fasting insulin levels and HOMA-IR compared with controls and Mc3rKO after 8 weeks on a HFD (Table 1). Intraperitoneal glucose tolerance test data were generally consistent with these findings (Supplemental Figure 1), although the effect of genotype on glucose tolerance after high-fat feeding did not achieve statistical significance.

Figure 1.

Figure 1.

Effect of loss of Mc3r and Ghsr expression on body weight and composition. Body weight (A), body composition (B), and adiposity (FM as percentage of body weight) (C) data shown are from 8-week-old male mice WT (n = 30), Mc3rKO (n = 24), GhsrKO (n = 48), and DKO (n = 22) mice that have been weaned on chow diet at 21 days. Body weight (C), body composition (D), and adiposity (E) data are from a subset of mice shown in A–C (WT [n = 14], Mc3rKO [n = 13], GhsrKO [n = 13], and DKO mice [n = 9]) at 20 weeks of age. Values that do not share common letters are statistically significant (P < .05).

Table 1.

Fasting Plasma Glucose, Insulin, HOMA-IR, Plasma TGs, and Liver Weight Values for Male WT, Mc3rKO, GhsrKO, and DKO Mice Submitted to 17–19 Days of RF or Maintained on HFD from 20 to 28 Weeks of Age (DIO)

RF WT Mc3rKO GhsrKO DKO
Glucose (mg/dL) 136 ± 9 150 ± 18 123 ± 6 127 ± 9
Insulin (ng/mL) 0.50 ± 0.07a,b 0.69 ± 0.17a,b 0.30 ± 0.04a 0.91 ± 0.21b
HOMA-IR 3.6 ± 0.4 6.3 ± 2.3 2.1 ± 0.4 5.6 ± 1.2
TG (mg/dL) 65 ± 4 70 ± 10 57 ± 3 56 ± 4
Liver weight (mg) 718 ± 29 750 ± 49 743 ± 19 667 ± 37
DIO WT Mc3rKO GhsrKO DKO

Glucose (mg/dL) 137 ± 7 146 ± 7 122 ± 5 142 ± 6
Insulin (ng/mL) 2.23 ± 0.32a 2.37 ± 0.37a 1.15 ± 0.21b 1.89 ± 0.18a,b
HOMA-IR 17.6 ± 3.3a 19.3 ± 3.4a 7.9 ± 1.7b 15 ± 1.9a,b
TG (mg/dL) 101 ± 5 93 ± 9 100 ± 4 97 ± 6
Liver weight (mg) 1561 ± 122 1578 ± 105 1239 ± 78 1408 ± 121

Data were analyzed using one-way ANOVA, with genotype as source of variation. Different superscript letters indicate statistical differences within genotype (P < .05).

Because the feeding protocol used to induce FAA involves periods of intermittent fasting, we first examined energy balance in DKO in ad libitum-fed and fasting conditions using a separate group of 10-week-old mice housed in a temperature-controlled comprehensive laboratory animal monitoring system. In this group, genotype had a similar effect on body composition to that observed at 8 weeks (Figure 2A). The delayed increase in adiposity of DKO relative to Mc3rKO may be due to increased energy expenditure (Figure 2). Food intake averaged over 24 hours was not significantly affected by genotype (F(3,27) = 1.972, P > .05). Although the amount of food removed from the container was significantly different during the dark phase (F(3,27) = 3.174, P < .05) (Figure 2B), this was due to excessive spillage by 2 GhsrKOs and 1 DKO. Strong trends for increased VO2 during the light phase and fasting were observed in DKO mice when data were normalized to lean mass (genotype effect F(3,25) = 2.875, P = .06 and F(3,24) = 2.883, P = .06, respectively) (Figure 2, E and F). The RER, an indicator of whole-body substrate preference, and activity were normal in all of the mutant strains in fed conditions (Figure 2, G and H). We also assessed the response of the mutant mice to fasting and refeeding in the CLAMS, observing no significant differences (Supplemental Figure 2, A–J).

Figure 2.

Figure 2.

Effect of loss of Mc3r and Ghsr expression on whole-body metabolic activity. Mice were acclimated to the metabolic chambers for 24 hours before the beginning of the recording. A, Body weight and composition of WT (n = 9), Mc3rKO (n = 6), GhsrKO (n = 7), and DKO (n = 7) mice that were studied in the metabolic chambers. B, Energy intake in kJ averaged for 2 days of recordings expressed as 24-hour food intake, food intake during the dark period, and food intake during lights-on period. C, VO2 data averaged for 2 days shown as a waveform expressed in 1-hour-bins as kJ/h (D), averaged over 24 hours, in the dark or lights-on periods. E and F, VO2 data normalized to lean mass expressed as kJ/gFFM·h. G and H, RER. I and J, Home cage movements assessed using cross-beam breaks (X-beam breaks). BW, body weight. Values that do not share common letters are statistically significant (P < .05).

Analysis of FAA in mice housed in DD

When transferred to the cages equipped with wheels, the mice were 9–10 weeks old and exhibited similar differences in body weight to mice aged 8 weeks. DKO weighed significantly less compared with the other genotypes (WT, 24.6 ± 0.4 g; GhsrKO, 25.1 ± 0.9 g; Mc3rKO, 24.6 ± 1.1 g; and DKO, 21.5 ± 0.5g; F(3,34) = 5.819, P < .05). During acclimation, DKO exhibited increased wheel-running activity during the dark phase that translated to increased 24 hour activity compared with GhsrKO (Supplemental Figure 3, A and B). However, this difference was transient and was no longer observed after transfer to DD (data not shown). All strains exhibited a robust circadian rhythm with no effect of genotype on period length (τ) or amplitude (data not shown).

After 3 weeks of free running, food was removed and the mice then were subjected to RF for 4 weeks. Food (3 g) was presented during the middle of their inactive phase. Before the start of the RF protocol, no activity was detected in the 3 hours before the projected food presentation (Figures 3 and 4, A and B), except for 1 Mc3rKO and 1 GhsrKO mice that exhibited shorter τ and were thus removed from the analysis. WT mice exhibited a robust FAA after 4 days of RF (Figures 3 and 4, C and D). All KOs exhibited marked reductions in FAA after 3–4 days of RF (Figures 3 and 4). After 7 days of RF, the robust FAA observed in WT mice had also not developed in Mc3rKO and DKO (Figures 3 and 4, E and F). However, by that time, GhsrKO had begun to exhibit FAA.

Figure 3.

Figure 3.

Actograms of wheel-running data for WT, GhsrKO, Mc3rKO, and DKO. These double-plotted actograms are data in 5-minute bins averaged by genotype, each line representing 48 hours. Experimental conditions are indicated on the left of the actograms. Data shown include 8 days of ad libitum feeding (AL) followed by a 28 days of RF under DD. At the end of RF, the mice were maintained under DD and AL conditions for 12 days. After transition to a light-dark cycle (LD), the mice were fed AL for 16 days before being submitted to a second RF protocol for 14 days.

Figure 4.

Figure 4.

Effects of loss of Ghsr and Mc3r expression on the induction of anticipatory activity in mice by 28 days of RF in DD. Mice were acclimated to wheel-equipped cages for 2 weeks under light-dark conditions before being transferred to DD. After 3 weeks of free running, food was removed, and WT (n = 12), Mc3rKO (n = 6), GhsrKO (n = 10), and DKO mice (n = 10) were submitted to a RF protocol for 28 days. A, C, E, G, I, and K, Wheel-running data shown as a waveform at selected intervals. B, D, F, H, J, and L, Analysis of FAA, defined as wheel-running activity (normalized to 24 h of activity) in the 3 hours preceding food presentation. The data shown are the average of 2 days of data taken on the last 2 days of ad libitum feeding (A and B), 3rd and 4th day (C and D), 6th and 7th day (E and F), 13th and 14th day (G and H), 20th and 21st day (I and J), and 27th and 28th day (K and L) of RF. Food presentation time is indicated by gray bars. Values that do not share common letters are statistically significant (P < .05).

After 3 weeks, WT mice exhibited very little activity after food presentation. In contrast, Mc3rKO and DKO exhibited significant levels of activity after food presentation at this stage (Figure 3). Further analysis of activity at selected time points confirmed these observations while also suggesting that deletion of both alleles had no additive effect (Figure 4, D and F). After 4 days of RF, WT mice exhibited a significant and progressive rise in activity preceding food presentation; this was attenuated in GhsrKO, and more severely in Mc3rKO and DKO (Figure 4, C and D). After 7 and 14 days of RF, the mutant mice exhibited a delayed onset of FAA (Figure 4, E–H). However, by the end of the 3rd week of RF, all mice were exhibiting high levels of activity before food presentation, perhaps related to the advance of free running activity into the feeding time (Figures 3 and 4, I–L). Indeed, we were surprised to observe that the mice did not appear to completely synchronize periods of peak anticipatory activity with food presentation, as we previously observed (24). Rather, all mice continued to free run, resulting in the feeding time coinciding with the period of peak activity.

After 4 weeks of RF, the mice were returned to ad libitum feeding for 12 days and then returned to a LD condition. After a period of adjustment, FAA was reassessed using the same protocol (Figures 3 and 5, A–H). The amplitude and onset of FAA were again markedly attenuated in Mc3rKO and DKO (Figures 3 and 5, C and E). However, GhsrKO mice exhibit a strong FAA with an advanced onset compared with the control mice after 4 days on a second RF protocol (Figure 5, C and D).

Figure 5.

Figure 5.

Effect of loss of Mc3r and Ghsr expression on the induction of anticipatory activity in mice by 14 days of RF under light-dark cycle (LD). The same group of mice shown in Figure 3 was allowed to recover from the first RF protocol for 4 weeks. After reentrainment to LD, they were submitted to a second RF protocol for 14 days. Wheel-running data shown as a waveform at selected intervals (A, C, E, and G) and 3-hour FAA normalized to 24 hours activity (B, D, F, and H) are the average of 2 days of data taken on the last 2 days of ad libitum feeding before the beginning of the second RF protocol (A and B), 3rd and 4th day (C and D), 6th and 7th day (E and F), and 13th and 14th day (G and H) of RF. Food presentation time is indicated by gray bars. Values that do not share common letters are statistically significant (P < .05).

A correlation between FAA and the expression of melanocortin ligands

The response of hypothalamic melanocortin neurons expressing the endogenous melanocortin receptor ligands in Mc3rKO may be altered in situations of negative energy balance (28). We performed a pilot study analyzing the expression of orexigenic and anorexigenic neuropeptides in the hypothalamus of Mc3rKO and WT 1 hour before mealtime. After 7 days of RF in the home cage, Mc3rKO exhibited lower expression of the orexigenic neuropeptides AgRP and neuropeptide Y (Npy), and higher expression of proopiomelanocortin (Pomc) mRNA, which encodes the precursor for the anorexigenic melanocyte-stimulating hormones relative to WT controls (Figure 6A). No significant difference was observed in the expression of other neuropeptides involved in regulating feeding behavior (orexin, melanin-concentrating hormone).

Figure 6.

Figure 6.

Effect of loss of Mc3r and Ghsr expression on hypothalamic gene expression under RF. Mice were subjected to RF protocol either for 1 week in their home cage (data shown in A) or for 17–19 days in wheel-equipped cages (data shown in B–G) and were killed within 1 hour before meal presentation. The levels of major hypothalamic transcripts involved in feeding behavior were quantified using quantitative RT-PCR. A, Relative expression of AgRP, NPY, POMC, orexin, and MCH in the hypothalamus of WT (n = 8) and Mc3rKO (n = 8) mice after 7 days of RF. Relative expression of AgRP (B), NPY (C), and POMC (D) in the hypothalamus of WT, Mc3rKO, GhsrKO, and DKO mice after 17–19 days of RF. Linear regression analysis showing the association between AgRP (E), NPY (F), and POMC (G) and 3-hour FAA expressed in wheel turns. A.u., arbitrary unit. Values that do not share common letters are statistically significant (P < .05).

This outcome suggested that the attenuated FAA observed in Mc3rKO might be due at least partially to an attenuated response of AgRP/Npy and Pomc neurons to signals of negative energy balance. We next measured expression of these transcripts in hypothalami collected 1 hour before food presentation from WT, Mc3rKO, GhsrKO, and DKO after 17–19 days of RF in LD. We were also able to verify Mc3r and Ghsr deficiency in the mutant mice (Supplemental Figure 4, A and B). A genotype effect was observed for AgRP (F(3,30) = 3.42, P < .05) (Figure 6B) and Npy transcript levels (F(3,30) = 2.957, P < .05) (Figure 6D) but not for Pomc transcript levels (F(3,30) = 1.372, P > .05) (Figure 6F). Post hoc analysis revealed that DKO mice had significantly lower AgRP and NPY expression before meal presentation than control mice. No significant differences were noted in the expression of orexin and MCH (Supplemental Figure 4, C and D).

To further investigate the link between the expression of genes encoding neuropeptide that regulate feeding behaviors and the expression of FAA, we performed correlation analysis for AgRP, NPY, POMC, and FAA. A strong positive correlation was observed between the expression of AgRP and NPY transcripts and FAA (r = 0.5915, P < .001; r = 0.6418, P < .0001) (Figure 6, C and E). A weaker but still significant negative correlation (r = −0.3633, P < .05) was observed between Pomc expression and FAA (Figure 6G).

Blood chemistries during RF

We first assessed blood glucose levels at 2-hour intervals after 15 days of RF in LD. A predictable postprandial increase in blood glucose levels after food presentation was observed in WT, GhsrKO, and DKO (Supplemental Figure 5A). However, Mc3rKO mice exhibited high variability in their blood glucose levels both in terms of the levels between mice and in terms of showing high variability throughout the day, suggesting poor glycemic control (Supplemental Figure 5B). Table 1 shows the plasma levels of glucose and insulin 1 hour before scheduled meal presentation in the mice on the day of killing (after 17–19 d of RF). There was no significant effect of genotype on fasting plasma glucose (F(3,34) = 1.164, P > .05). Insulin levels and HOMA-IR values were significantly affected by genotype (F(3,34) = 3.049, P < .05; F(3,34) = 3.532, P < .05). Post hoc analysis revealed that GhsrKO had lower insulin when compared with DKO (P < .05). Liver weight and plasma TG levels were not affected by genotype (F(3,34) = 1.361, P > .05; F(3,34) = 1.53, P > .05).

Discussion

The primary objective of this study was to evaluate the phenotype of DKO mice during RF. We initially assessed whether loss of both Mc3rs and Ghsrs would result in a metabolic phenotype that could affect locomotor behavior. We observed a modest improvement in the obese phenotype of DKO vs Mc3rKO, suggesting that loss of Ghsrs delays the obese phenotype associated with loss of Mc3rs. Interestingly, this outcome might be due to increased energy expenditure during the lights on phase. Increased energy expenditure consistent with higher core body temperature has already been observed in Ghsr-ghrelin DKO mice (41) and GhsrKO on HFD (14). It is possible that the combined activities of Mc3r and Ghsr suppress energy expenditure during the lights-on period. The lights-on period in mice is defined by the suppression of wakefulness, locomotor behavior and feeding-related behaviors, and an altered metabolic state geared towards lipid catabolism, glycogenolysis, and gluconeogenesis to maintain normoglycemia (42, 43). DKO also exhibited normal levels of voluntary wheel-running behavior and a normal circadian rhythm, indicating that the function of the master clock in the suprachiasmatic nucleus was not compromised. The significance of these observations with respect to the current study is to rule out a general reduction in locomotor behavior, due either to ability or motivation of the mice to exercise in general, as a factor reducing the expression of FAA. Moreover, the data indicate that loss of both receptors does not affect the viability of mice on a predominantly B6 background, at least in terms of survival in a laboratory setting.

We next assessed whether loss of both Mc3rs and Ghsrs would result in a more severe circadian phenotype when nutrients are the primary zeitgeber in mice housed in DD, followed by an examination of FAA in a light-dark setting. If the modulatory activities of Ghsrs and Mc3rs involve both dependent and independent functions, we hypothesized that deletion of both genes would have an additive effect. However, this was not the case, and DKO and Mc3rKO exhibited a similar phenotype with a marked reduction in FAA in either DD or light-dark settings. The absence of an additive effect could indicate that the receptors belong to a common circuit. Another interpretation is that Mc3rKO already exhibit a minimal response, and no further reduction is possible. In contrast, the FAA phenotype of GhsrKO, although evident in DD, was actually more robust when assessed again in a light-dark setting. One interpretation of this data is that the role of Ghsrs in regulating the expression of FAA is not obligatory with compensatory mechanisms that bypass the genetic block, whereas Mc3rs are required for the rapid onset and full expression of this behavior with no compensation possible. On the other hand, the duration of our RF protocol (4 wk in DD) exceeded that used by LeSauter et al (16) and Blum et al (17). It is thus possible that the GhsrKO mice used in our study adapted after prolonged to RF. Further studies examining whether GhsrKO mice exhibit compensation to sequential exposure to restricted should also be considered.

The modulatory role of ghrelin or its receptor on FAA is controversial. Preproghrelin-deficient mice (lacking ghrelin and obestatin) have been reported to exhibit similar pattern of activity, body temperature, and sleep/wakefulness under RF to controls mice, despite a decrease in arousal premeal in the first 3 days of RF (45). Video monitoring of ghrelin-deficient mice led to similar conclusions, because normal activity patterns were observed under RF (46). In contrast, at least 3 independent groups have reported that loss of Ghsr was associated with impaired behavioral adaptation to daytime feeding (16–18). Two publications in 2009 related decreased onset (16) and reduced amplitude (17) of FAA in GhsrKO mice. In addition, a complete absence of anticipatory activity has also been observed in GhsrKO when anticipatory activity was monitored using photo-beam breaks (18). Assessment of the effect of pharmacological blockade of Ghsr signaling in rats or genetic deletion of Ghsr in mice on FAA in a model of activity-based anorexia consisting in a more severe caloric restriction indicated a similar outcome (47). In our hand, GhsrKO mice exhibit attenuated FAA during the first RF protocol under DD. During the preparation of this manuscript, another group reported similar results when they submitted GhsrKO mice to RF under DD (48).

Previous studies by our laboratory indicated that loss of Mc3r in mice impairs the behavioral and metabolic adaptation to RF (24–27, 49). When food was presented midlight phase, Mc3rKO do not exhibit increased wakefulness preceding food presentation, although increased wakefulness after food is presented is still evident (26). We have also consistently observed attenuated FAA as assessed by wheel-running activity (24–26, 50) or photo-beam breaks (49). These experiments generally involved a RF protocol performed in light-dark conditions (25–27, 49). However, we have observed a similar outcome in the absence of light cues when mice were housed in DD (24). In the current study, we again observed that Mc3rKO were unable to rapidly adapt to food presentation in DD. Mc3rKO also exhibited decreased FAA when subjected to RF a second time in LD, despite exhibiting anticipatory behavior at the end of the RF protocol under DD. This outcome is similar to previous results in our laboratory, where Mc3rKO submitted to a second RF still exhibited a marked attenuation of FAA (Sutton, G.M., and A.A. Butler, unpublished data).

Our direct comparison of FAA in mutant mice lacking Ghsrs or Mc3rs also suggests a stronger role for the latter as modulator of FAA. Ghrelin is one of many endocrine signals of metabolic state that potentially modulate FAA. Other signals of metabolic state, such as leptin, corticosterone, insulin, and glucagon-like peptide 1, are also synchronized with nutrient availability under RF. Among them, leptin whose effects are at least partially mediated through the melanocortin system has been shown to modulate FAA. Indeed, Zucker fatty rats and leptin-deficient (Lepob/Lepob) mice exhibit exaggerated FAA (51, 52). Paradoxically, deletion of the Mc3r gene on ob/ob background (Lepob/Lepob; Mc3r−/−) results in increased FAA compared with Lepob/Lepob mice (52). The suppression of FAA by leptin administration in Lepob/Lepob mice was not affected by the absence of Mc3rs. Although the reasons explaining the discrepancy between these results and our observations are not clear, it is important to note that the development of the hypothalamic circuitry regulating feeding behaviors is severely compromised in Lepob/Lepob mice (53). It is therefore possible that the regulation of feeding behaviors in this experimental model involves noncanonical circuits.

Within the hypothalamus, orexigenic populations are strongly activated at the time of food presentation under RF followed by quick activation of anorexigenic populations when food is ingested to promote satiety (54, 55). Designer receptors exclusively activated by designer drugs technology applied to AgRP/NPY neurons demonstrated that acute stimulation of those neurons in the absence of food elicits food seeking behavior (56). Therefore, a failure of orexigenic and anorexigenic neurons to correctly respond to signals of negative energy balance could at least partially partake in an attenuated behavioral response to RF. Interestingly, an impaired response to fasting characterized by reduced AgRP and NPY expression in the hypothalamus was recently observed in Mc3rKO mice (28). It is important to note that the levels of AgRP in Mc3rKO mice upon fasting, although reduced relative to controls, were still increased compared with ad libitum conditions, suggesting attenuated but not blunted response of AgRP/NPY neurons to acute food deprivation. The authors also reported difference in term of food consumption. However, this was subtle, which could explain why loss of Mc3r was not significantly associated with attenuated refeeding in the current study. Nonetheless, we previously also observed hypophagia in Mc3rKO mice when food access was restricted to a few hours daily (49). Hence, we performed a preliminary study in mice that have undergone 7 days of scheduled feeding in their home cage to investigate whether RF was also associated with lower orexigenic transcript in the hypothalamus of Mc3rKO mice 1 hour before meal presentation. We found an imbalance in orexigenic/anorexigenic transcript in Mc3rKO mice. When we analyzed hypothalamic transcripts in the mice that have undergone RF in the cages equipped with wheel, we also found a strong positive association between AgRP/NPY expression and FAA. This is not in line with a previous gene expression study in rats where hypothalamic peptide expressions were correlated with body weight loss owing to food restriction but not with FAA on the 3rd day of RF (57). This discrepancy could be due to the length of RF but also the presence in the current study of KO mice resulting in wider distribution of anticipatory wheel running. When genotypes were taken into account in the analysis, the association was only significant for the DKO, and a trend was observed for Mc3rKO. This could indicate increased dependency on AgRP/NPY neuronal activation to mount an adaptive response to RF upon loss of Mc3r. Overall, the diminished response of AgRP/NPY neurons to RF associated with loss of Mc3r could at least partially account for the reduced hunger-driven behaviors indicated by the delayed onset of FAA.

Despite an abundant literature, there is still controversy on the role of the ghrelinergic system in DIO. A study has shown that GhsrKOs on a mixed background were resistant to HFD-induced weight gain when HFD feeding started at an early age (14). Ghrelin KO mice have also been shown to gain less weight on HFD (58, 59). However, those results were not reproduced in another study, where older animal on a pure C57BL6/J background were fed HFD (60). In our hand, the GhsrKO gained slightly less weight than Mc3rKO and DKO mice on HFD, but this was not significantly different from control mice. The DIO phenotype of Mc3rKO was also subtle compared with our previous results (61, 62). An age effect on the course of weight gain could partially explain the inconsistency with previous studies, because the mice were 20 weeks of age at the beginning of the HFD feeding. Recent data suggest that the mixed C57BL/6NJ background might also account for the discrepancy (63). No additive effect of Ghsr and Mc3r deletion on DIO was found in DKO mice, because they exhibit a similar phenotype to Mc3rKO.

A major role of the ghrelinergic system in the regulation of glucose homeostasis has been suggested by a study involving in Lepob/Lepob; ghrelin−/− mice (64). Deletion of the ghrelin gene on the Lepob/Lepob background had no effect on obesity associated with leptin deficiency but did improve glucose tolerance in those mice. Even here, however, discrepancy exists in the literature. A recent report did not observe the same outcome when the Ghsr gene was deleted on the Lepob/Lepob background (65). Very recently, the role of ghrelin in DIO has also been questioned by the postnatal ablation of ghrelin-expressing cells, which confirmed a major role of ghrelin in the maintenance of glucose homeostasis under negative energy balance (19). Genetic deletion of components of the ghrelinergic system (Ghsr, ghrelin, or goat, the enzyme responsible for the acetylation of ghrelin) or postnatal ablation of ghrelin-expressing cells in mice results in the inability to maintain normal glucose levels under caloric restriction as the mice became more severely hypoglycaemic (19–22, 60). In contrast, Mc3rKO exhibit a diabetic-like phenotype only in situations of negative energy balance, perhaps related to bouts of extreme nutrient loading interspersed between extended periods of fasting (27). However, the normal plasma glucose levels during RF and after 8 weeks of HFD feeding suggest that the function of pancreatic β-cells was not compromised. Compensatory hyperinsulinemia was observed with DIO in all strains, consistent with maintenance of normal glycemia in an insulin resistant state. The reasons why we could not replicate the severe diabetic phenomenon previously observed in Mc3rKO subject to RF are not clear but could be due to changes in the housing environment and gut microbiota of mice maintained in different institutions. Interestingly, we did observe increased variability of the blood glucose levels across the lights-on period in Mc3rKO on the 15th day of the second RF, suggesting reduced fidelity in glucose homeostasis.

GhsrKO exhibited lower insulin levels in conditions of negative and positive energy balance, consistent with the notion that Ghsr blockade can improve glucose homeostasis (44). In contrast to the abundant (19–22, 60) and controversial literature (23), we did not observed severe hypoglycemia in GhsrKO under RF. One explanation for the difference resides in the fact that the calorie restriction used in the current study was less severe (70% vs <50% or normal calorie intake). Moreover, we used a refined diet rich in simple carbohydrates, which has been suggested recently to be the source of variability in the glycemia observed in calorie-restricted mice (19). Finally, as mentioned above, studies performed in different institutions may differ in environmental factors, such as temperature and humidity, could impact metabolic homeostasis.

To conclude, our data have shown that Mc3rs are stronger modulators of FAA when compared with Ghsrs. Abnormal regulation of AgRP/Npy and Pomc neurons could partially explain the attenuation in behavioral adaptation to daytime feeding observed in mice lacking Mc3rs. The possibility that Mc3rs link the response of ARC neurons to signals of negative energy balance with expression of anticipatory rhythms merits further study. Finally, another intriguing possibility suggested by these results is that loss of Mc3rs is associated with an impaired appetitive response during prolonged periods of negative energy balance.

Acknowledgments

We thank Dr Alicia Faruzzi-Brantley (Mouse Behavioral Core) and Dr Melissa Kazantzis (Metabolic Core) from TSRI-Florida for their help during the course of these studies.

This work was supported by the National Institutes of Health Grant DK073189 (to A.A.B.).

Disclosure Summary: The authors have nothing to disclose.

Footnotes

Abbreviations:
AgRP
agouti-related peptide
ARC
arcuate nucleus of the hypothalamus
DD
constant darkness
DIO
diet-induced obesity
DKO
double Mc3r
FAA
food anticipatory activity
FFM
fat-free mass
FM
fat mass
Ghsr KO; Ghsr
GH secretagogue receptor
HFD
high-fat diet
HOMA-IR
homeostasis model assessment of insulin resistance
KO
knockout
LD
12-hour light, 12-hour dark
Mc3rKO
mice lacking melanocortin-3 receptors
Npy
neuropeptide Y
Pomc
proopiomelanocortin
RER
respiratory exchange ratio
RF
restricted feeding
TG
triglyceride
VO2
oxygen consumption
WT
wild type.

References

  • 1. Patton DF, Mistlberger RE. Circadian adaptations to meal timing: neuroendocrine mechanisms. Front Neurosci. 2013;7:185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Mistlberger RE. Neurobiology of food anticipatory circadian rhythms. Physiol Behav. 2011;104(4):535–545. [DOI] [PubMed] [Google Scholar]
  • 3. Mistlberger RE. Circadian food-anticipatory activity: formal models and physiological mechanisms. Neurosci Biobehav Rev. 1994;18(2):171–195. [DOI] [PubMed] [Google Scholar]
  • 4. Saper CB. The central circadian timing system. Curr Opin Neurobiol. 2013;23(5):747–751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Woods SC. The control of food intake: behavioral versus molecular perspectives. Cell Metab. 2009;9(6):489–498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Silver R, Balsam PD, Butler MP, LeSauter J. Food anticipation depends on oscillators and memories in both body and brain. Physiol Behav. 2011;104(4):562–571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Vahl TP, Drazen DL, Seeley RJ, D'Alessio DA, Woods SC. Meal-anticipatory glucagon-like peptide-1 secretion in rats. Endocrinology. 2010;151(2):569–575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Drazen DL, Vahl TP, D'Alessio DA, Seeley RJ, Woods SC. Effects of a fixed meal pattern on ghrelin secretion: evidence for a learned response independent of nutrient status. Endocrinology. 2006;147(1):23–30. [DOI] [PubMed] [Google Scholar]
  • 9. Cummings DE, Purnell JQ, Frayo RS, Schmidova K, Wisse BE, Weigle DS. A preprandial rise in plasma ghrelin levels suggests a role in meal initiation in humans. Diabetes. 2001;50(8):1714–1719. [DOI] [PubMed] [Google Scholar]
  • 10. Cummings DE, Frayo RS, Marmonier C, Aubert R, Chapelot D. Plasma ghrelin levels and hunger scores in humans initiating meals voluntarily without time- and food-related cues. Am J Physiol Endocrinol Metab. 2004;287(2):E297–E304. [DOI] [PubMed] [Google Scholar]
  • 11. Merkestein M, Brans MA, Luijendijk MC, et al. Ghrelin mediates anticipation to a palatable meal in rats. Obesity. 2012;20(5):963–971. [DOI] [PubMed] [Google Scholar]
  • 12. Tschöp M, Smiley DL, Heiman ML. Ghrelin induces adiposity in rodents. Nature. 2000;407(6806):908–913. [DOI] [PubMed] [Google Scholar]
  • 13. Sun Y, Wang P, Zheng H, Smith RG. Ghrelin stimulation of growth hormone release and appetite is mediated through the growth hormone secretagogue receptor. Proc Natl Acad Sci USA. 2004;101(13):4679–4684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Zigman JM, Nakano Y, Coppari R, et al. Mice lacking ghrelin receptors resist the development of diet-induced obesity. J Clin Invest. 2005;115(12):3564–3572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Wang Q, Liu C, Uchida A, et al. Arcuate AgRP neurons mediate orexigenic and glucoregulatory actions of ghrelin. Mol Metab. 2014;3(1):64–72 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. LeSauter J, Hoque N, Weintraub M, Pfaff DW, Silver R. Stomach ghrelin-secreting cells as food-entrainable circadian clocks. Proc Natl Acad Sci USA. 2009;106(32):13582–13587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Blum ID, Patterson Z, Khazall R, et al. Reduced anticipatory locomotor responses to scheduled meals in ghrelin receptor deficient mice. Neuroscience. 2009;164(2):351–359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Davis JF, Choi DL, Clegg DJ, Benoit SC. Signaling through the ghrelin receptor modulates hippocampal function and meal anticipation in mice. Physiol Behav. 2011;103(1):39–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. McFarlane MR, Brown MS, Goldstein JL, Zhao TJ. Induced ablation of ghrelin cells in adult mice does not decrease food intake, body weight, or response to high-fat diet. Cell Metab. 2014;20(1):54–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Li RL, Sherbet DP, Elsbernd BL, Goldstein JL, Brown MS, Zhao TJ. Profound hypoglycemia in starved, ghrelin-deficient mice is caused by decreased gluconeogenesis and reversed by lactate or fatty acids. J Biol Chem. 2012;287(22):17942–17950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Goldstein JL, Zhao TJ, Li RL, Sherbet DP, Liang G, Brown MS. Surviving starvation: essential role of the ghrelin-growth hormone axis. Cold Spring Harb Symp Quant Biol. 2011;76:121–127. [DOI] [PubMed] [Google Scholar]
  • 22. Zhao TJ, Liang G, Li RL, et al. Ghrelin O-acyltransferase (GOAT) is essential for growth hormone-mediated survival of calorie-restricted mice. Proc Natl Acad Sci USA. 2010;107(16):7467–7472. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Yi CX, Heppner KM, Kirchner H, et al. The GOAT-ghrelin system is not essential for hypoglycemia prevention during prolonged calorie restriction. PLoS One. 2012;7(2):e32100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Begriche K, Sutton GM, Butler AA. Homeostastic and non-homeostatic functions of melanocortin-3 receptors in the control of energy balance and metabolism. Physiol Behav. 2011;104(4):546–554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Begriche K, Levasseur PR, Zhang J, et al. Genetic dissection of the functions of the melanocortin-3 receptor, a seven-transmembrane G-protein-coupled receptor, suggests roles for central and peripheral receptors in energy homeostasis. J Biol Chem. 2011;286(47):40771–40781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Sutton GM, Perez-Tilve D, Nogueiras R, et al. The melanocortin-3 receptor is required for entrainment to meal intake. J Neurosci. 2008;28(48):12946–12955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Sutton GM, Begriche K, Kumar KG, et al. Central nervous system melanocortin-3 receptors are required for synchronizing metabolism during entrainment to restricted feeding during the light cycle. FASEB J. 2010;24(3):862–872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Renquist BJ, Murphy JG, Larson EA, et al. Melanocortin-3 receptor regulates the normal fasting response. Proc Natl Acad Sci USA. 2012;109(23):E1489–E1498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Cone RD. Anatomy and regulation of the central melanocortin system. Nat Neurosci. 2005;8(5):571–578. [DOI] [PubMed] [Google Scholar]
  • 30. Williams KW, Elmquist JK. From neuroanatomy to behavior: central integration of peripheral signals regulating feeding behavior. Nat Neurosci. 2012;15(10):1350–1355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Cowley MA, Smith RG, Diano S, et al. The distribution and mechanism of action of ghrelin in the CNS demonstrates a novel hypothalamic circuit regulating energy homeostasis. Neuron. 2003;37(4):649–661. [DOI] [PubMed] [Google Scholar]
  • 32. van den Top M, Lee K, Whyment AD, Blanks AM, Spanswick D. Orexigen-sensitive NPY/AgRP pacemaker neurons in the hypothalamic arcuate nucleus. Nat Neurosci. 2004;7(5):493–494. [DOI] [PubMed] [Google Scholar]
  • 33. Chen HY, Trumbauer ME, Chen AS, et al. Orexigenic action of peripheral ghrelin is mediated by neuropeptide Y and agouti-related protein. Endocrinology. 2004;145(6):2607–2612. [DOI] [PubMed] [Google Scholar]
  • 34. Ollmann MM, Wilson BD, Yang YK, et al. Antagonism of central melanocortin receptors in vitro and in vivo by agouti-related protein. Science. 1997;278(5335):135–138. [DOI] [PubMed] [Google Scholar]
  • 35. Shutter JR, Graham M, Kinsey AC, Scully S, Lüthy R, Stark KL. Hypothalamic expression of ART, a novel gene related to agouti, is up-regulated in obese and diabetic mutant mice. Genes Dev. 1997;11(5):593–602. [DOI] [PubMed] [Google Scholar]
  • 36. Rossi M, Kim MS, Morgan DG, et al. A C-terminal fragment of Agouti-related protein increases feeding and antagonizes the effect of α-melanocyte stimulating hormone in vivo. Endocrinology. 1998;139(10):4428–4431. [DOI] [PubMed] [Google Scholar]
  • 37. Rediger A, Piechowski CL, Yi CX, et al. Mutually opposite signal modulation by hypothalamic heterodimerization of ghrelin and melanocortin-3 receptors. J Biol Chem. 2011;286(45):39623–39631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Holmes MM, Mistlberger RE. Food anticipatory activity and photic entrainment in food-restricted BALB/c mice. Physiol Behav. 2000;68(5):655–666. [DOI] [PubMed] [Google Scholar]
  • 39. Landry GJ, Kent BA, Patton DF, Jaholkowski M, Marchant EG, Mistlberger RE. Evidence for time-of-day dependent effect of neurotoxic dorsomedial hypothalamic lesions on food anticipatory circadian rhythms in rats. PLoS One. 2011;6(9):e24187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Trevaskis JL, Meyer EA, Galgani JE, Butler AA. Counterintuitive effects of double-heterozygous null melanocortin-4 receptor and leptin genes on diet-induced obesity and insulin resistance in C57BL/6J mice. Endocrinology. 2008;149(1):174–184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Pfluger PT, Kirchner H, Günnel S, et al. Simultaneous deletion of ghrelin and its receptor increases motor activity and energy expenditure. Am J Physiol Gastrointest Liver Physiol. 2008;294(3):G610–G618. [DOI] [PubMed] [Google Scholar]
  • 42. Sun Z, Miller RA, Patel RT, et al. Hepatic Hdac3 promotes gluconeogenesis by repressing lipid synthesis and sequestration. Nat Neurosci. 2012;18(6):934–942. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Bass J, Takahashi JS. Circadian integration of metabolism and energetics. Science. 2010;330(6009):1349–1354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Briggs DI, Andrews ZB. A recent update on the role of ghrelin in glucose homeostasis. Curr Diabetes Rev. 2011;7(3):201–207. [DOI] [PubMed] [Google Scholar]
  • 45. Szentirmai E, Kapás L, Sun Y, Smith RG, Krueger JM. Restricted feeding-induced sleep, activity, and body temperature changes in normal and preproghrelin-deficient mice. Am J Physiol Regul Integr Comp Physiol. 2010;298(2):R467–R477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Gunapala KM, Gallardo CM, Hsu CT, Steele AD. Single gene deletions of orexin, leptin, neuropeptide Y, and ghrelin do not appreciably alter food anticipatory activity in mice. PLoS One. 2011;6(3):e18377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Verhagen LA, Egecioglu E, Luijendijk MC, Hillebrand JJ, Adan RA, Dickson SL. Acute and chronic suppression of the central ghrelin signaling system reveals a role in food anticipatory activity. Eur Neuropsychopharmacol. 2011;21(5):384–392. [DOI] [PubMed] [Google Scholar]
  • 48. Lamont EW, Bruton J, Blum ID, Abizaid A. Ghrelin receptor-knockout mice display alterations in circadian rhythms of activity and feeding under constant lighting conditions. Eur J Neurosci. 2014;39(2):207–217. [DOI] [PubMed] [Google Scholar]
  • 49. Begriche K, Marston OJ, Rossi J, et al. Melanocortin-3 receptors are involved in adaptation to restricted feeding. Genes Brain Behav. 2012;11(3):291–302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Begriche K, Sutton GM, Fang J, Butler AA. The role of melanocortin neuronal pathways in circadian biology: a new homeostatic output involving melanocortin-3 receptors? Obes Rev. 2009;10(suppl 2):14–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Mistlberger RE, Marchant EG. Enhanced food-anticipatory circadian rhythms in the genetically obese Zucker rat. Physiol Behav. 1999;66(2):329–335. [DOI] [PubMed] [Google Scholar]
  • 52. Ribeiro AC, Ceccarini G, Dupre C, Friedman JM, Pfaff DW, Mark AL. Contrasting effects of leptin on food anticipatory and total locomotor activity. PLoS One. 2011;6(8):e23364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Bouret SG, Draper SJ, Simerly RB. Trophic action of leptin on hypothalamic neurons that regulate feeding. Science. 2004;304(5667):108–110. [DOI] [PubMed] [Google Scholar]
  • 54. Johnstone LE, Fong TM, Leng G. Neuronal activation in the hypothalamus and brainstem during feeding in rats. Cell Metab. 2006;4(4):313–321. [DOI] [PubMed] [Google Scholar]
  • 55. Singru PS, Sánchez E, Fekete C, Lechan RM. Importance of melanocortin signaling in refeeding-induced neuronal activation and satiety. Endocrinology. 2007;148(2):638–646. [DOI] [PubMed] [Google Scholar]
  • 56. Krashes MJ, Koda S, Ye C, et al. Rapid, reversible activation of AgRP neurons drives feeding behavior in mice. J Clin Invest. 2011;121(4):1424–1428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. de Rijke CE, Hillebrand JJ, Verhagen LA, Roeling TA, Adan RA. Hypothalamic neuropeptide expression following chronic food restriction in sedentary and wheel-running rats. J Mol Endocrinol. 2005;35(2):381–390. [DOI] [PubMed] [Google Scholar]
  • 58. Briggs DI, Lockie SH, Wu Q, Lemus MB, Stark R, Andrews ZB. Calorie-restricted weight loss reverses high-fat diet-induced ghrelin resistance, which contributes to rebound weight gain in a ghrelin-dependent manner. Endocrinology. 2013;154(2):709–717. [DOI] [PubMed] [Google Scholar]
  • 59. Wortley KE, del Rincon JP, Murray JD, et al. Absence of ghrelin protects against early-onset obesity. J Clin Invest. 2005;115(12):3573–3578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Sun Y, Butte NF, Garcia JM, Smith RG. Characterization of adult ghrelin and ghrelin receptor knockout mice under positive and negative energy balance. Endocrinology. 2008;149(2):843–850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Butler AA, Kesterson RA, Khong K, et al. A unique metabolic syndrome causes obesity in the melanocortin-3 receptor-deficient mouse. Endocrinology. 2000;141(9):3518–3521. [DOI] [PubMed] [Google Scholar]
  • 62. Butler AA. The melanocortin system and energy balance. Peptides. 2006;27(2):281–290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Nicholson A, Reifsnyder PC, Malcolm RD, et al. Diet-induced obesity in two C57BL/6 substrains with intact or mutant nicotinamide nucleotide transhydrogenase (Nnt) gene. Obesity. 2010;18(10):1902–1905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Sun Y, Asnicar M, Saha PK, Chan L, Smith RG. Ablation of ghrelin improves the diabetic but not obese phenotype of ob/ob mice. Cell Metab. 2006;3(5):379–386. [DOI] [PubMed] [Google Scholar]
  • 65. Ma X, Lin Y, Lin L, et al. Ablation of ghrelin receptor in leptin-deficient ob/ob mice has paradoxical effects on glucose homeostasis when compared with ablation of ghrelin in ob/ob mice. Am J Physiol Endocrinol Metab. 2012;303(3):E422–E431. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Endocrinology are provided here courtesy of The Endocrine Society

RESOURCES