Using pharmacological tools, a role for opioid receptors in the regulation of food intake has been documented. However, the involvement of specific receptor subtypes remains questionable, and little information is available regarding a role for opioid receptors in energy metabolism. Using adult male mice lacking the μ-opioid receptor (MOR) gene (MOR−/−), we show that the MOR is not essential for the maintenance of normal levels of ad libitum food intake but does modulate the efficiency of energy storage during high-fat diets through the regulation of energy partitioning. When fed a regular diet, MOR−/− mice displayed only subtle alterations in energy homeostasis, suggesting a relative overuse of fat as a fuel source in the fed state. When fed a high-fat diet, MOR−/− mice were resistant to obesity and impaired glucose tolerance, despite having similar energy intake to wild-type mice. This resistance to obesity was associated with a strong induction of the expression of key mitochondrial enzymes involved in fatty acid oxidation within skeletal muscle. This metabolic role of the MOR, which is consistent with the properties of a “thrifty gene,” suggests that the MOR pathway is a potential target for pharmacological intervention in the treatment of obesity associated with the intake of fatty diets.

The endogenous opioid system encompasses cloned receptor populations (μ, δ, and κ) and ligands (β-endorphin, the enkephalins, and the dynorphins). Extensive work indicates that the opioid system plays a role in the regulation of appetite. Opioid receptors and peptides are expressed in sites of the central nervous system that play a role in regulating feeding behavior, and pharmacological experiments using opioid receptor ligands show that agonists promote eating and antagonists decrease food intake, at least in the short term (13). Numerous pharmacological studies indicate that opioids also play a role in modulating the rewarding effects of food (35). In contrast, little information suggests that opioids have a role in energy metabolism (68).

The need to establish the specific role of the opioid receptors in energy homeostasis has led to studies using putative specific opioid receptor ligands or, more recently, antisense probes directed against specific exons of opioid receptor genes (3,9). Pharmacological studies suggest that the μ and κ pathways are part of an interconnected brain network and participate in the orexigenic effect of several peptides that regulate food intake (1013). However, the interpretation of these data is complicated by our poor knowledge of the in vivo selectivity of ligand-receptor interactions that have been established in vitro (9,14).

Recent studies conducted in mutant mice null for the opioid receptors have complemented pharmacological approaches and clarified the role of each receptor in nociception, anxiety, and drug abuse (14). To further define the role of the μ-opioid receptor (MOR) pathway in energy homeostasis, we characterized mice lacking the MOR gene (MOR). Our study results indicated that the MOR is not an essential regulator of energy intake but is involved in the efficiency of fat storage during high-fat diets through the regulation of fatty acid oxidation. This metabolic role of the MOR, consistent with the properties of a “thrifty gene” (15), suggests that the MOR pathway might be a target for pharmacological prevention of high-fat diet−induced obesity.

MOR knockout (MOR−/−) mice were obtained as previously described (16). Mice were originally obtained on a hybrid 129 SVJ/C57BL/6 background and were subsequently backcrossed over 12 generations onto a C57BL/6 background. Only male mice were used in these experiments. All animal protocols complied with National Institutes of Health guidelines and were approved by the Scripps Research Institute. Mature mice were housed singly for at least 4 weeks before the studies. Aged mice were housed in groups of three to four mice per cage. The regular (LM-485; Teklad, Madison, WI) and low- and high-fat (12450B and D12451; Research Diets, New Brunswick, NJ) diets contained 9.5, 10, and 45% kcal as fat with an energy density of 3.75, 3.85, and 4.73 kcal/g, respectively.

Unless otherwise specified, body weight and food intake were measured weekly. Preweighed colored food pellets were placed in cage hoppers; minimal bedding was used in the cages to allow for retrieval of food pieces for weighing. Spillage was taken into account when food intake was determined. For aged, group-housed animals, food intake was measured on a per-cage basis. Body composition was evaluated by dual-energy X-ray absorptiometry (Piximus/Lunar, Lambesc, France). For carcass analysis, mice were killed by decapitation and their carcasses were immediately frozen and shipped to the University of Alabama to be analyzed, as previously described (17). Lean body mass was calculated as the percentage of body fat-free dry mass.

Indirect calorimetry.

Mice were housed singly and maintained in a 12-h dark-light cycle in a temperature-controlled colony (21–23°C). Mice were then transferred daily to metabolic chambers similar in size to their home cages and for 5 days were allowed to become habituated to the night/dark onset times used during testing. Metabolic testing was performed for 3 h during the mid-light cycle and at the beginning of the dark cycle, as reported for rats (18). Briefly, O2 consumption and CO2 production (milliliters per kilogram per hour) were measured using an AccuScan open-circuit calorimeter (Columbus, OH). The O2 and CO2 levels were measured sequentially across chambers for the last 30 s of the 5-min sampling periods. Energy expenditure and respiratory quotient (RQ; calculated as the ratio of VCO2 to VO2) were calculated as previously described (18). Data for the 5-min sampling periods were averaged over three periods to generate the 15-min sampling bins reported here.

Core body temperature.

Body temperatures of individually housed mice were measured during the mid-portion of the light phase using a digital thermometer and rectal probe for mice (VWR, Bridgeport, NJ).

Locomotor activity.

Locomotor activity of individually housed mice was evaluated over 24 h using a cage rack activity system (San Diego Instruments, San Diego, CA). Two sets of photobeams that allowed the recording of horizontal (locomotion) and vertical (rearing) movements were used. Mice were placed in the activity boxes for 7 h to habituate them to the testing environment and then tested during a 12-h dark and a 12-h light phase.

Glucose homeostasis.

For the glucose tolerance test, animals were tested in the morning after a 15-h fast. Glucose was measured on blood samples obtained by tail bleeding before and 30, 60, 90, and 120 min after the intraperitoneal injection of glucose (2 g/kg). The insulin tolerance test was performed in fed mice during the mid-portion of the light cycle. Mice were injected with regular insulin (1 unit/kg i.p.; Lilly, Indianapolis, IN). Blood samples for glucose measurement were obtained before and 30, 60, and 90 min after insulin injection.

Hypothalamic-pituitary-adrenal axis evaluation.

Blood samples for corticosterone measurement were obtained by tail bleeding in the same mice 1 h before the onset of the dark phase and 1 h after the onset the light phase. All samples were collected within 1 min of the mice being removed from their cages. After the light-phase sampling, mice were exposed to 15 min of restraint; blood was sampled again at the end of the stress experiment.

Serum measurements.

Glucose concentration was immediately analyzed using a Glucometer Elite (Bayer, Elkhart, IN). Plasma was collected in heparinized capillary tubes, immediately centrifuged, and stored at −80°C until assayed. Triglycerides and free fatty acids (FFAs) were measured using an enzymatic kit (Wako NEFA-C, Neuss, Germany). Specific immunoassays were used to measure plasma leptin and insulin (Linco, St. Charles, MO), corticosterone (ICN, Costa Mesa, CA), and total thyroxine (Diagnostic Products, Los Angeles, CA).

Fat stools.

Fresh stools were collected after mice were handled and immediately frozen. Total fat was measured by acid hydrolysis at Covance (Madison, WI).

Expression of mitochondrial genes involved in fatty acid oxidation.

Total RNA from frozen liver and rectus femoris muscle samples was extracted using the Extract-All solution (Eurobio, Courtaboeuf, France). Complementary DNA was synthesized with the Super Script reverse transcriptase and poly dT primers (Invitrogen, Cergy Pontoise, France). The real-time PCR measurement of individual cDNAs was performed using SYBR green dye to measure duplex DNA formation with the Gene Amp 5700 (Applied Biosystems) and normalized to the amount of cyclophilin RNA.

The following primers were used: cytochrome oxidase subunit IV (COIV) sense 5′-CCGACTGGAGCAGCCTTTC-3′, antisense 5′-TCGGCGAAGCTCTCGTTAAA-3′; cyclophilin sense 5′-GATGAGAACTTCATCCTAAAGCATACA-3′, antisense 5′-TCAGTCTTGGCAGTGCAGATAAA-3′; liver carnitine palmitoyl acetyl transferase 1 (CPT-1) sense 5′-AGCAGAGGCTCAAGCTGTTCA-3′, antisense 5′-GCCAGCGCCCGTCAT-3′; muscle CPT-1 sense 5′-CCAAACGTCACTGCCTAAGCT-3′, antisense 5′-GGCCGCACAGAATCCAAGT-3′; peroxisome proliferator−activated receptor-α (PPAR-α) sense 5′-GACAAGGCCTCAGGGTACCA-3′, antisense 5′-GCCGAATAGTTCGCCGAAA-3′; and uncoupling protein type 3 (UCP-3) sense 5′-CCTCTGCACTGTATGCTGAAGATG-3′, antisense 5′-CAGAAAGGAGGGCACAAATCC-3′.

Uncoupling protein type 1 measurement.

Interscapular brown adipose tissue (BAT) was dissected and immediately frozen until it was analyzed. After mitochondria were prepared, the mitochondrial protein content was assayed using bicinchoninic acid. Mitochondrial protein extracts were loaded onto polyacrylamide gels, separated by electrophoresis, and transferred onto a nitrocellulose membrane. Western blots were hybridized with anti−UCP-1 (19) at a 1:4,000 dilution and goat anti-IgG at a 1:3,000 dilution. Direct recording of the chemiluminescence corresponding to UCP-1 was performed using the CCD camera of the GeneGnome analyzer, and quantification was achieved using the Genetool software (Ozyme, Saint-Quentin en Yvelines, France).

Statistics.

Data are presented as means ± SE. Statistical analyses were performed using Statview (SAS Institute, Cary, NC) and Statistica (Statsoft, Maison-Alfort, France). Main and interaction effects were analyzed by two-factor ANOVA for repeated or factorial measures or by using t and Mann-Whitney tests where appropriate. When justified by the ANOVA analysis, differences between individual group means were analyzed by the Newman-Keuls post hoc test. Differences were considered statistically significant at P < 0.05.

Adult MOR−/− mice fed a regular diet have no overt change in body weight, food intake, or energy expenditure but display subtle alterations in fuel utilization.

The 16- to 28-week-old mutant and wild-type mice fed a regular diet had similar body weights (MOR−/− 29.2 ± 0.8 g, n = 12; MOR+/+ 28.8 ± 1.0 g, n = 13) and body composition, as determined by carcass analysis (Fig. 1A). There were no differences in 24-h food intake during 1 week of daily measurements or in 24-h locomotor activity between the genotypes (Fig. 1B and C). Energy expenditure, calculated using indirect calorimetry, was similar during the resting and active periods of the light cycle (Fig. 1D). The RQ was also similar during the dark phase. However, during the mid-light cycle, mutant mice exhibited lower RQ than wild-type mice (mean RQ: 0.72 ± 0.01 [n = 7] vs. 0.76 ± 0.01 [n = 6], respectively; P < 0.03) (Fig. 1E). Thus, in the fed/resting state and despite replenished carbohydrate stores, fat was utilized relatively more than carbohydrates as an energy substrate in MOR−/− mice. We hypothesized that this constitutive difference in fuel utilization might result in less efficient storage of fat when the mice were challenged with a high-fat diet and, conversely, greater depletion of fat stores during starvation (20,21).

Adult MOR−/− mice show reduced vulnerability to the weight-promoting effect of a high-fat diet.

A separate set of 17- to 21-week-old mice raised on a regular diet (n = 10 per genotype) were switched to a high-fat diet. Mice again had similar body weights and compositions on the regular diet. After being switched to a high-fat diet, the MOR−/− mice showed a dramatically reduced increase in weight and adiposity (Fig. 2A and B), despite having a food intake similar to that of MOR+/+ mice. Daily measurement of food intake demonstrated the same transient burst of hyperphagia in the mice after the switch to high-fat diet (Fig. 2C), and the cumulative caloric intake over 10 weeks was similar between the MOR−/− and MOR+/+ mice (896.5 ± 24.4 vs. 938.5 ± 29.5 kcal), indicating a decreased food efficiency in MOR−/− mice (Fig. 2D).

Rectal temperature with a regular diet was similar between the MOR−/− and MOR+/+ mice (37.3 ± 0.2 [n = 7] vs. 36.9 ± 0.2°C [n = 6]) and remained unchanged after 10 weeks of a high-fat diet, suggesting that the MOR deletion did not result in large changes in the metabolic rate that could account for the decreased vulnerability to diet-induced obesity in MOR−/− mice. Because the MOR is expressed in the gut, the possibility of genotype differences in fat absorption was also assessed. However, total fat excreted in stools after the high-fat diet did not differ between the MOR−/− and MOR+/+ mice (5.0 ± 1.2 [n = 8] vs. 5.7 ± 0.9% [n = 5]).

Adult MOR−/− mice show increased weight loss during food deprivation.

When adult age-matched mice were starved for 27 h, the percentage of body weight loss was greater in MOR−/− than in MOR+/+ mice (Fig. 3A). Plasma levels of FFAs were similar between the genotypes in the fed state but were dramatically reduced in MOR−/− mice during food deprivation (Fig. 3B). A similar but nonsignificant trend was noted for plasma triglycerides (data not shown). Together these findings suggest that the absence of the MOR results in an increased depletion of fat stores during starvation associated with increased fatty acid utilization.

Aged MOR−/− mice are protected from obesity, glucose intolerance, and insulin-resistance when fed a high-fat diet.

The incidence of insulin resistance and type 2 diabetes associated with obesity increases with advancing age (22). Therefore, glucose homeostasis was studied in older mice (age 36–40 weeks) that were given a low- or high-fat diet. Body weights and fasting plasma leptin concentrations were not different between the genotypes at baseline and remained similar on the low-fat diet. In contrast, weight gain in MOR−/− mice on the high-fat diet was reduced by 52% compared with that in MOR+/+ mice. Again, the cumulative caloric intake did not differ between genotypes (Fig. 4A, B, and C)

On the low-fat diet, both genotypes exhibited similar fasting plasma glucose and insulin concentrations and similar glucose clearance during a glucose tolerance test (Fig. 4D and E). After 3 weeks of a high-fat diet, glucose tolerance was reduced in MOR+/+ mice whereas it remained similar in MOR−/− mice to that of the animals fed a low-fat diet (Fig. 4D). After 8 weeks of a high-fat diet, fasting plasma glucose levels were also increased in MOR+/+ compared with in MOR−/− mice (152.8 ± 6.6 [n = 5] vs. 112.3 ± 4.4 mg/dl [n = 9]; P < 0.01). Plasma insulin in MOR+/+ mice increased together with glucose levels, suggesting that glucose intolerance was due to insulin resistance. In contrast, the plasma insulin-to-glucose ratio in MOR−/− mice fed a high-fat diet remained similar to that of mice on the low-fat diet (Fig. 4E). The preserved insulin sensitivity of MOR−/− mice fed a high-fat diet was confirmed during an insulin-tolerance test (Fig. 4F).

After 14 weeks of a high-fat diet, body weight and plasma leptin in MOR−/− mice were greater than in mice fed a low-fat diet (Fig. 4A and B) and fasting glucose levels became similar between MOR+/+ and MOR−/− mice fed a high-fat diet (141.2 ± 4.6 [n = 5] vs. 146.5 ± 13.6 mg/dl [n = 9]). Thus, the MOR deletion delayed, but did not ultimately prevent, the development of high-fat−diet induced obesity, insulin resistance, and glucose intolerance.

Adult MOR−/− mice show increased gene expression of mitochondrial enzymes involved in fatty acid oxidation.

To elucidate the mechanisms involved in the resistance to diet-induced obesity in MOR−/− mice, we quantified gene expression of several mitochondrial enzymes in liver and skeletal muscle. MOR−/− mice fed a regular diet exhibited an increased hepatic expression of COIV compared with MOR+/+ mice (1.34 ± 0.05 vs. 0.96 ± 0.08; P < 0.01; n = 5 in each group). No significant differences were found in liver PPAR-α (1.00 ± 0.16 vs. 1.05 ± 0.13) or liver CPT-1 (1.04 ± 0.13 vs. 1.02 ± 0.26) mRNA expression between MOR+/+ and MOR−/− mice (n = 5 in each group). After two weeks on a high-fat diet, COIV, PPAR-α, and liver CPT-1 mRNA increased dramatically and reached similar levels in both genotypes (diet effect, P < 0.01; data not shown).

In contrast, MOR+/+ and MOR−/− mice fed a regular diet showed equivalent expression of COIV, muscle CPT-1, and UCP-3 mRNA in skeletal muscle. After 2 weeks on high-fat diet, gene expression remained unchanged in MOR+/+ mice, whereas it was dramatically increased in muscle CPT-1 of MOR−/− mice (P < 0.03), consistent with increased fatty acid oxidation (Fig. 5A). Similar trends approaching statistical significance were noted for the upregulation of UCP-3 and COIV expression in mutant mice (P = 0.06 and 0.08, respectively) (Fig. 5B and C).

UCP-1 expression in interscapular BAT is unaffected by MOR deletion.

BAT UCP-1 protein levels did not differ between MOR+/+ and MOR−/− mice fed a regular diet and increased similarly after 2 and 10 weeks of a high-fat diet (Fig. 5D).

Adult male MOR−/− mice have no associated endocrine alteration that affects energy balance.

Corticosterone has a permissive effect on diet-induced obesity, and endogenous opioids are involved in the control of hypothalamic-pituitary-adrenal axis activity (23). However, baseline and stress-stimulated corticosterone concentrations did not differ between the two genotypes in this study (Fig. 5E). Similarly, plasma thyroxine levels were unaffected by MOR deletion (MOR+/+ 2.2 ± 0.1 μg/dl; MOR−/− 2.4 ± 0.2% μg/dl; n = 10 in each group).

Mice lacking the MOR have a reduced fat deposition and impairment of glucose metabolism when fed a high-fat diet. These alterations were revealed only by an adipogenic dietary challenge because deletion of the MOR had no effect on body weight, fat mass, or glucose metabolism in adult mice fed a low-fat diet. These results agree with the modest effects of long-acting opioid receptor antagonists on the body weight of rats fed a regular diet and the ability of these agents to prevent weight gain in rats fed an adipogenic diet (6,24). However, in contrast to the findings observed with pharmacological agents, the decreased vulnerability to diet-induced obesity observed in mice selectively deficient for the MOR is attributable to changes in energy metabolism and not in caloric intake.

Pharmacological studies have consistently established that selective MOR agonists acutely promote eating, whereas selective antagonists decrease food intake, especially when elicited by food deprivation or palatable diets (rev. in 3). Contrary to these results and to the intriguing findings in hyperphagic β-END−/− phenotype (25), adult MOR−/− mice fed a regular or a high-fat diet were not hypophagic. Similar observations of quantitatively normal food intake with a regular diet have recently been described in MOR−/− mice generated by another group of researchers (26). The discrepancies between pharmacological and genetic studies may be related to the short-lived and modest intensity of opioid pharmacological stimulation of feeding (3). In addition, our knowledge of the true in vivo selectivity of ligand-receptor interactions that have been established in vitro remains poor (9,14), and the mode of action of opioid-receptor ligands also relies on the dose, the experimental paradigm (acute versus chronic treatment), and the site of administration (5,14,27). Alternatively, the feeding phenotype of MOR−/− mice might reflect the redundancy of brain orexigenic signaling (28) or compensatory brain changes in animals with MOR deleted through their lifetime. It should be noted that MOR−/− mice show no modification in the number or distribution of δ- and κ-opioid receptors or in the expression of opioid peptide precursor genes (16). However, with regard to the complexity of in vivo opioid receptor signaling, disruption of functional interactions between opioid receptors in knockout mice cannot be ruled out (29,30).

The reduced food efficiency that we observed in MOR−/− mice fed a high-fat diet and who ate normally definitively indicates a role for this gene in regulating energy metabolism. In contrast to the extensive work on the involvement of opioids in feeding behavior, little information is available about a role of the opioid system in energy metabolism. It has been suggested that opioids favor the conservation of energy because the weight reduction induced by opioid antagonists in rats fed an adipogenic diet exceeded the degree to which caloric intake was reduced (6,24). However, controversial results on energy expenditure have been obtained with pharmacological tools (6,7). Two studies have reported that nonselective opioid antagonists induce a decrease in RQ, thereby indicating an opioid modulation of lipid oxidation, in rats fed regular and high-fat diets (7,8). However, RQ decreases with reductions in caloric intake (8), and it has not been possible thus far to separate the feeding and metabolic effects of opioids by pharmacological manipulation.

Our observations provide evidence that in the absence of any effect on food intake and energy expenditure, the MOR plays a specific role in modulating the balance between fat and carbohydrate oxidation. Indirect calorimetric data obtained with a regular diet suggest that MOR−/− mice rely more on the oxidation of fatty acids and less on glycolysis during periods when they are not actively eating. This metabolic trait might be related to a constitutive increase in liver COIV expression, a key mitochondrial enzyme involved in cellular respiration (31). This fuel preference may account, at least partially, for the decreased fat deposition seen with a high-fat diet (32). In humans fed a standard diet, irrespective of their energy expenditure, a low “baseline” inherited RQ correlates with subsequent resistance to weight gain (20,21). Early metabolic adaptation to the amount of fat intake has also been shown to be a major determinant of diet-induced weight gain (33,34). We have demonstrated that after 2 weeks of a high-fat diet, the lack of MOR strongly induces the expression of key enzymes involved in fatty acid oxidation within skeletal muscle such as CPT-1, UCP-3, and COIV (35,36). These results strongly suggest that the lean phenotype of MOR−/− mice could be a consequence of an increased rate of fatty acid oxidation in skeletal muscle in response to a high-fat diet. Consistent with these findings suggesting that the MOR pathway promotes fat deposition in lieu of fat oxidation, body weight changes in MOR−/− mice during food deprivation mirrored those seen with an adipogenic diet, including an increased weight loss associated with reduced FFA levels. Other studies using nonselective opioid receptor antagonists suggest that opioids may impair BAT and UCP-1 activity in a way that favors fat deposition (37,38). However, we found no evidence that the MOR pathway is involved in the regulation of UCP-1 expression during high-fat feeding. The primary site of metabolic opioid actions remains to be determined. A brain site of opioid action is suspected (24,39,40). As an alternative, a direct peripheral action might be considered, although the presence of the MOR in liver and skeletal muscle remains poorly documented (4144).

Obesity results from interactions between environmental and genetic factors that regulate energy intake, energy expenditure, and fuel partitioning. The “thrifty gene” hypothesis suggests that the evolution of the human genome favored the selection of genes promoting efficient storage of ingested energy as fat (15). This adaptation would confer metabolic advantages in historical periods of food scarcity but predisposes individuals to obesity in modern environments. Because the MOR promotes efficient storage of ingested fat, it is metabolically “thrifty.” From an evolutionary perspective, the MOR may represent a beneficial biological link between the metabolic and hedonic aspects of the regulation of energy balance. The well-established rewarding properties of opioids favor the consumption of energy-dense food (35), whereas the metabolic actions of MOR agonists promote the storage of ingested calories as fat. However, the present study has provided evidence that the MOR plays a crucial role in the development of obesity and glucose intolerance in a Western diet environment. Previous human trials conducted in obese patients with opioid receptor antagonists have given inconsistent results (8,45). However, in those trials, these agents were nonselective and were given to already obese people. It should be emphasized that more consistent weight-reducing effects in rats were obtained with administration of opioid-receptor antagonists before or during the dynamic phase of obesity development than in animals with preexisting dietary obesity (6,8,24). Also, individual differences in the etiology of obesity (28) may play a role in the efficacy of an opioid receptor antagonist. Again, more consistent weight-reducing effects were obtained in subjects with a putative high endogenous opioid tone, such as rats fed a cafeteria diet (6), binge-eaters (45), or obese women with polycystic ovary syndrome (46). Supporting this hypothesis, high-fat feeding increases hypothalamic MOR expression in rats (47). Therefore, the present findings obtained in mice selectively deficient for the MOR combined with data from the literature suggest that inhibition of MOR signaling may be useful in preventing the development of obesity and impaired glucose tolerance associated with chronic intake of fatty diets.

FIG. 1.

Energy homeostasis of mature MOR+/+ and MOR−/− mice on a regular diet. Shown here are body composition (A; n = 8 per genotype) as well as daily food intake (B) and 24-h locomotor activity in MOR+/+ (n = 12) and MOR−/− (n = 14) mice. D: Indirect calorimetry: the estimated energy expenditure is similar between the genotypes (n = 6 and 7 for MOR+/+ and MOR−/− mice, respectively) during the light and dark periods. E: RQ (15 min averages during 3 h): MOR−/− mice exhibit reduced RQ during the light period only. Repeated ANOVA, genotype effect: F1,11 = 6.39, P < 0.03.

FIG. 1.

Energy homeostasis of mature MOR+/+ and MOR−/− mice on a regular diet. Shown here are body composition (A; n = 8 per genotype) as well as daily food intake (B) and 24-h locomotor activity in MOR+/+ (n = 12) and MOR−/− (n = 14) mice. D: Indirect calorimetry: the estimated energy expenditure is similar between the genotypes (n = 6 and 7 for MOR+/+ and MOR−/− mice, respectively) during the light and dark periods. E: RQ (15 min averages during 3 h): MOR−/− mice exhibit reduced RQ during the light period only. Repeated ANOVA, genotype effect: F1,11 = 6.39, P < 0.03.

Close modal
FIG. 2.

Energy homeostasis of mature MOR+/+ and MOR−/− mice fed a high-fat diet. A: Body weight after switching from a regular to a high-fat diet. B: Fat mass calculated by dual-energy X-ray absorptiometry before and after 10 weeks of a high-fat diet. C: Daily food intake before and after the switch to a high-fat diet (arrow). D: Food efficiency (100 × gram of body weight gained per kilocalorie consumed) with a high-fat diet. *P < 0.05, **P < 0.01.

FIG. 2.

Energy homeostasis of mature MOR+/+ and MOR−/− mice fed a high-fat diet. A: Body weight after switching from a regular to a high-fat diet. B: Fat mass calculated by dual-energy X-ray absorptiometry before and after 10 weeks of a high-fat diet. C: Daily food intake before and after the switch to a high-fat diet (arrow). D: Food efficiency (100 × gram of body weight gained per kilocalorie consumed) with a high-fat diet. *P < 0.05, **P < 0.01.

Close modal
FIG. 3.

Response of mature MOR+/+ and MOR−/− mice to food deprivation. A: MOR−/− mice lost more weight than MOR+/+ mice after 27 h of food deprivation (P < 0.04; n = 10 and 9, respectively). B: Plasma levels of FFAs in fed and fasted conditions. Repeated ANOVA, genotype × experiment effect: F1,12 = 7.48, P < 0.02.

FIG. 3.

Response of mature MOR+/+ and MOR−/− mice to food deprivation. A: MOR−/− mice lost more weight than MOR+/+ mice after 27 h of food deprivation (P < 0.04; n = 10 and 9, respectively). B: Plasma levels of FFAs in fed and fasted conditions. Repeated ANOVA, genotype × experiment effect: F1,12 = 7.48, P < 0.02.

Close modal
FIG. 4.

Aged MOR−/− mice are resistant to high-fat diet−induced impaired glucose homeostasis. A: Body weights during low- and high-fat diets (n = 5–9 per group). Repeated ANOVA, genotype × experiment effect: F1,25 = 4.4, P < 0.05. B: Fasting leptin concentrations before and during diet challenges. Repeated ANOVA, diet effect: F1,23 = 20.8, P < 0.001; genotype × diet effect: F1,23 = 4.9, P < 0.05. C: Cumulative food intake. Diet effect only: P < 0.03. D: Preserved glucose tolerance after glucose administration in MOR−/− mice after 3 weeks of a high-fat diet. E: Fasting plasma insulin-to-glucose ratio (log transformed) after 8 weeks of diet challenge. F: Enhanced glucose clearance after insulin administration in MOR−/− mice after 9 weeks of a high-fat diet. *P < 0.05, **P < 0.01 for MOR+/+ vs. MOR−/− mice on a high-fat diet.

FIG. 4.

Aged MOR−/− mice are resistant to high-fat diet−induced impaired glucose homeostasis. A: Body weights during low- and high-fat diets (n = 5–9 per group). Repeated ANOVA, genotype × experiment effect: F1,25 = 4.4, P < 0.05. B: Fasting leptin concentrations before and during diet challenges. Repeated ANOVA, diet effect: F1,23 = 20.8, P < 0.001; genotype × diet effect: F1,23 = 4.9, P < 0.05. C: Cumulative food intake. Diet effect only: P < 0.03. D: Preserved glucose tolerance after glucose administration in MOR−/− mice after 3 weeks of a high-fat diet. E: Fasting plasma insulin-to-glucose ratio (log transformed) after 8 weeks of diet challenge. F: Enhanced glucose clearance after insulin administration in MOR−/− mice after 9 weeks of a high-fat diet. *P < 0.05, **P < 0.01 for MOR+/+ vs. MOR−/− mice on a high-fat diet.

Close modal
FIG. 5.

Molecular correlates of the MOR−/− phenotype. A: Dramatic increase in muscle CPT-1 expression after 2 weeks of high-fat diet in MOR−/− mice but not in MOR+/+ mice (P < 0.03; n = 4–5 per genotype). A similar trend is observed for muscle UCP-3 (B; P = 0.06) and COIV expression (C; P = 0.08, n = 4–5 per genotype). D: Similar levels of UCP-1 in BAT of mice (n = 6–10 per genotype). ANOVA, diet effect: F2,1 = 22.1, P < 0.001. E: Corticosterone levels at the onset of the dark and light periods and after 15 min of restraint are similar between genotypes (n = 9 per group).

FIG. 5.

Molecular correlates of the MOR−/− phenotype. A: Dramatic increase in muscle CPT-1 expression after 2 weeks of high-fat diet in MOR−/− mice but not in MOR+/+ mice (P < 0.03; n = 4–5 per genotype). A similar trend is observed for muscle UCP-3 (B; P = 0.06) and COIV expression (C; P = 0.08, n = 4–5 per genotype). D: Similar levels of UCP-1 in BAT of mice (n = 6–10 per genotype). ANOVA, diet effect: F2,1 = 22.1, P < 0.001. E: Corticosterone levels at the onset of the dark and light periods and after 15 min of restraint are similar between genotypes (n = 9 per group).

Close modal

This work was supported by grants from INSERM Action Thematique Concertee Nutrition, Fondation pour la Recherche Medicale, and Conseil Régional d’Aquitaine. G.F.K. was supported by National Institutes of Health Grant DA-004043 from the National Institute of Drug Abuse.

We are indebted to C. Levy and P. Costet for the breeding of mice and to E. Ravussin, H. Gin, and V. Rigalleau for helpful comments.

1.
Mansour A, Fox CA, Akil H, Watson SJ: Opioid-receptor mRNA expression in the rat CNS: anatomical and functional implications.
Trends Neurosci
18
:
22
–29,
1995
2.
Kalra SP, Dube MG, Pu S, Xu B, Horvath TL, Kalra PS: Interacting appetite-regulating pathways in the hypothalamic regulation of body weight.
Endocr Rev
20
:
68
–100,
1999
3.
Bodnar RJ: Endogenous opioids and feeding behavior: a 30-year historical perspective.
Peptides
25
:
697
–725,
2004
4.
Kelley AE, Bakshi VP, Haber SN, Steininger TL, Will MJ, Zhang M: Opioid modulation of taste hedonics within the ventral striatum.
Physiol Behav
76
:
365
–377,
2002
5.
Glass MJ, Billington CJ, Levine AS: Naltrexone administered to central nucleus of amygdala or PVN: neural dissociation of diet and energy.
Am J Physiol
279
:
R86
−R92,
2000
6.
Mandenoff A, Fumeron F, Apfelbaum M, Margules DL: Endogenous opiates and energy balance.
Science
215
:
1536
–1538,
1982
7.
Marks-Kaufman R, Balmagiya T, Gross E: Modifications in food intake and energy metabolism in rats as a function of chronic naltrexone infusions.
Pharmacol Biochem Behav
20
:
911
–916,
1984
8.
Statnick MA, Tinsley FC, Eastwood BJ, Suter TM, Mitch CH, Heiman ML: Peptides that regulate food intake: antagonism of opioid receptors reduces body fat in obese rats by decreasing food intake and stimulating lipid utilization.
Am J Physiol
284
:
R1399
−R1408,
2003
9.
Silva RM, Hadjimarkou MM, Rossi GC, Pasternak GW, Bodnar RJ: Beta-endorphin-induced feeding: pharmacological characterization using selective opioid antagonists and antisense probes in rats.
J Pharmacol Exp Ther
297
:
590
–596,
2001
10.
Brugman S, Clegg DJ, Woods SC, Seeley RJ: Combined blockade of both micro- and kappa-opioid receptors prevents the acute orexigenic action of Agouti-related protein.
Endocrinology
143
:
4265
–4270,
2002
11.
Clegg DJ, Air EL, Woods SC, Seeley RJ: Eating elicited by orexin-a, but not melanin-concentrating hormone, is opioid mediated.
Endocrinology
143
:
2995
–3000,
2002
12.
Hagan MM, Rushing PA, Benoit SC, Woods SC, Seeley RJ: Opioid receptor involvement in the effect of AgRP- (83–132) on food intake and food selection.
Am J Physiol
280
:
R814
−R821,
2001
13.
Kotz CM, Grace MK, Billington CJ, Levine AS: The effect of norbinaltorphimine, beta-funaltrexamine and naltrindole on NPY-induced feeding.
Brain Res
631
:
325
–328,
1993
14.
Gaveriaux-Ruff C, Kieffer BL: Opioid receptor genes inactivated in mice: the highlights.
Neuropeptides
36
:
62
–71,
2002
15.
Neel JV: The “thrifty genotype” in 1998.
Nutr Rev
57
:
S2
−S9,
1999
16.
Matthes HW, Maldonado R, Simonin F, Valverde O, Slowe S, Kitchen I, Befort K, Dierich A, Le Meur M, Dolle P, Tzavara E, Hanoune J, Roques BP, Kieffer BL: Loss of morphine-induced analgesia, reward effect and withdrawal symptoms in mice lacking the mu-opioid-receptor gene.
Nature
383
:
819
–823,
1996
17.
Nagy TR, Clair AL: Precision and accuracy of dual-energy X-ray absorptiometry for determining in vivo body composition of mice.
Obes Res
8
:
392
–398,
2000
18.
Parker GC, McKee ME, Bishop C, Coscina DV: Whole-body metabolism varies across the estrous cycle in Sprague-Dawley rats.
Physiol Behav
74
:
399
–403,
2001
19.
Ricquier D, Barlet JP, Garel JM, Combes-George M, Dubois MP: An immunological study of the uncoupling protein of brown adipose tissue mitochondria.
Biochem J
210
:
859
–866,
1983
20.
Froidevaux F, Schutz Y, Christin L, Jequier E: Energy expenditure in obese women before and during weight loss, after refeeding, and in the weight-relapse period.
Am J Clin Nutr
57
:
35
–42,
1993
21.
Zurlo F, Lillioja S, Esposito-Del Puente A, Nyomba BL, Raz I, Saad MF, Swinburn BA, Knowler WC, Bogardus C, Ravussin E: Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ.
Am J Physiol
259
:
E650
−E657,
1990
22.
Kahn BB, Flier JS: Obesity and insulin resistance.
J Clin Invest
106
:
473
–481,
2000
23.
Buckingham JC, Cooper TA: Pharmacological characterization of opioid receptors influencing the secretion of corticotrophin releasing factor in the rat.
Neuroendocrinology
44
:
36
–40,
1986
24.
Cole JL, Leventhal L, Pasternak GW, Bowen WD, Bodnar RJ: Reductions in body weight following chronic central opioid receptor subtype antagonists during development of dietary obesity in rats.
Brain Res
678
:
168
–176,
1995
25.
Appleyard SM, Hayward M, Young JI, Butler AA, Cone RD, Rubinstein M, Low MJ: A role for the endogenous opioid beta-endorphin in energy homeostasis.
Endocrinology
144
:
1753
–1760,
2003
26.
Kas MJ, van den Bos R, Baars AM, Lubbers M, Lesscher HM, Hillebrand JJ, Schuller AG, Pintar JE, Spruijt BM: Mu-opioid receptor knockout mice show diminished food-anticipatory activity.
Eur J Neurosci
20
:
1624
–1632,
2004
27.
Glass MJ, Billington CJ, Levine AS: Opioids and food intake: distributed functional neural pathways?
Neuropeptides
33
:
360
–368,
1999
28.
Barsh GS, Schwartz MW: Genetic approaches to studying energy balance: perception and integration.
Nat Rev Genet
3
:
589
–600,
2002
29.
Levac BA, O’Dowd BF, George SR: Oligomerization of opioid receptors: generation of novel signaling units.
Curr Opin Pharmacol
2
:
76
–81,
2002
30.
Matthes HW, Smadja C, Valverde O, Vonesch JL, Foutz AS, Boudinot E, Denavit-Saubie M, Severini C, Negri L, Roques BP, Maldonado R, Kieffer BL: Activity of the delta-opioid receptor is partially reduced, whereas activity of the kappa-receptor is maintained in mice lacking the mu-receptor.
J Neurosci
18
:
7285
–7295,
1998
31.
Richter OM, Ludwig B: Cytochrome c oxidase: structure, function, and physiology of a redox-driven molecular machine.
Rev Physiol Biochem Pharmacol
147
:
47
–74,
2003
32.
Liu X, Rossmeisl M, McClaine J, Riachi M, Harper ME, Kozak LP: Paradoxical resistance to diet-induced obesity in UCP1-deficient mice.
J Clin Invest
111
:
399
–407,
2003
33.
Miyawaki K, Yamada Y, Ban N, Ihara Y, Tsukiyama K, Zhou H, Fujimoto S, Oku A, Tsuda K, Toyokuni S, Hiai H, Mizunoya W, Fushiki T, Holst JJ, Makino M, Tashita A, Kobara Y, Tsubamoto Y, Jinnouchi T, Jomori T, Seino Y: Inhibition of gastric inhibitory polypeptide signaling prevents obesity.
Nat Med
8
:
738
–742,
2002
34.
Surwit RS, Wang S, Petro AE, Sanchis D, Raimbault S, Ricquier D, Collins S: Diet-induced changes in uncoupling proteins in obesity-prone and obesity-resistant strains of mice.
Proc Natl Acad Sci U S A
95
:
4061
–4065,
1998
35.
Wang S, Subramaniam A, Cawthorne MA, Clapham JC: Increased fatty acid oxidation in transgenic mice overexpressing UCP3 in skeletal muscle.
Diabetes Obes Metab
5
:
295
–301,
2003
36.
Dobbins RL, Szczepaniak LS, Bentley B, Esser V, Myhill J, McGarry JD: Prolonged inhibition of muscle carnitine palmitoyltransferase-1 promotes intramyocellular lipid accumulation and insulin resistance in rats.
Diabetes
50
:
123
–130,
2001
37.
Kotz CM, Grace MK, Briggs J, Levine AS, Billington CJ: Effects of opioid antagonists naloxone and naltrexone on neuropeptide Y-induced feeding and brown fat thermogenesis in the rat: neural site of action.
J Clin Invest
96
:
163
–170,
1995
38.
Egawa M, Yoshimatsu H, Bray GA: Effect of beta-endorphin on sympathetic nerve activity to interscapular brown adipose tissue.
Am J Physiol
264
:
R109
−R115,
1993
39.
Currie PJ, Coscina DV, Moretti J, Avellino MD: Paraventricular nucleus injections of naloxone methiodide inhibit NPY’s effects on energy substrate utilization.
Neuroreport
11
:
733
–735,
2000
40.
Obici S, Rossetti L: Minireview: nutrient sensing and the regulation of insulin action and energy balance.
Endocrinology
144
:
5172
–5178,
2003
41.
Cheng JT, Liu IM, Chi TC, Tzeng TF, Lu FH, Chang CJ: Plasma glucose-lowering effect of tramadol in streptozotocin-induced diabetic rats.
Diabetes
50
:
2815
–2821,
2001
42.
Evans AA, Tunnicliffe G, Knights P, Bailey CJ, Smith ME: Delta opioid receptors mediate glucose uptake in skeletal muscles of lean and obese-diabetic (ob/ob) mice.
Metabolism
50
:
1402
–1408,
2001
43.
Jaume M, Jacquet S, Cavailles P, Mace G, Stephan L, Blanpied C, Demur C, Brousset P, Dietrich G: Opioid receptor blockade reduces Fas-induced hepatitis in mice.
Hepatology
40
:
1136
–1143,
2004
44.
Zimlichman R, Gefel D, Eliahou H, Matas Z, Rosen B, Gass S, Ela C, Eilam Y, Vogel Z, Barg J: Expression of opioid receptors during heart ontogeny in normotensive and hypertensive rats.
Circulation
93
:
1020
–1025,
1996
45.
Yeomans MR, Gray RW: Opioid peptides and the control of human ingestive behaviour.
Neurosci Biobehav Rev
26
:
713
–728,
2002
46.
Fruzzetti F, Bersi C, Parrini D, Ricci C, Genazzani AR: Effect of long-term naltrexone treatment on endocrine profile, clinical features, and insulin sensitivity in obese women with polycystic ovary syndrome.
Fertil Steril
77
:
936
–944,
2002
47.
Smith SL, Harrold JA, Williams G: Diet-induced obesity increases mu opioid receptor binding in specific regions of the rat brain.
Brain Res
953
:
215
–222,
2002