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Endocrinology, doi:10.1210/en.2003-0452
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Endocrinology Vol. 145, No. 1 243-252
Copyright © 2004 by The Endocrine Society

Impaired Coordination of Nutrient Intake and Substrate Oxidation in Melanocortin-4 Receptor Knockout Mice

Diana C. Albarado, Jennifer McClaine, Jacqueline M. Stephens, Randall L. Mynatt, Jianping Ye, Anthony W. Bannon, William G. Richards and Andrew A. Butler

Pennington Biomedical Research Center/Louisiana State University (D.C.A., J.M., R.L.M., J.Y., A.A.B.), Baton Rouge, Louisiana 70808; Department of Biological Sciences (J.M.S.), Louisiana State University, Baton Rouge, Louisiana 70803; and Amgen Inc. (A.W.B., W.G.R.), Thousand Oaks, California 91320

Address all correspondence and requests for reprints to: Andrew A. Butler, Ph.D., Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, Louisiana 70808. E-mail: butleraa{at}pbrc.edu.


   Abstract
Top
 Abstract
Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Mutations in the melanocortin-4 receptor (MC4R) are associated with obesity. The obesity syndrome observed in humans with MC4R haploinsufficiency is similar to that observed in MC4R knockout mice, including increased longitudinal growth, hyperphagia, and fasting hyperinsulinemia. For comparison with other commonly investigated models of obesity and insulin resistance, we have backcrossed Mc4r-/- mice into the C57BL/6J (B6) background. Female obese Mc4r-/- mice exhibit reduced energy expenditure and an attenuated increase in fatty acid (FA) oxidation after exposure to high-fat diets compared with obese Lepob/Lepob mice. The reduced energy expenditure and FA oxidation correlates with changes in hepatic gene expression. The expression of genes involved in FA oxidation increased in obese Lepob/Lepob mice compared with wild-type and obese Mc4r-/- mice. In contrast, a key lipogenic enzyme, FA synthase (FAS), is increased in obese Mc4r-/- mice compared with obese Lepob/Lepob mice. Hyperinsulinemia, increased FAS mRNA expression and hepatic steatosis appear to be secondary to obesity in B6 Mc4r-/- mice. However, Mc4r-/- mice in a mixed genetic background develop severe hepatic steatosis at an early age. This might suggest an important role of the MC4R in regulating liver FA metabolism that is masked on the B6 background. Interestingly, the 10- to 20-fold increase in liver triglyceride in the outbred strain of Mc4r-/- mice is not always associated with fasting hyperinsulinemia or increased FAS mRNA expression. This observation suggests that changes in liver secondary to triglyceride accumulation lead to hyperinsulinemia and increased hepatic FAS expression in Mc4r-/- mice.


   Introduction
Top
 Abstract
 Introduction
Materials and Methods
 Results
 Discussion
 References
 
THE CURRENT EPIDEMIC of obesity and type 2 diabetes mellitus (DM2), if unchecked, will place a considerable strain on the health care system (1, 2). The obesity epidemic is likely due to a combination of genetic and environmental factors (3). Analysis of the development of DM2 in inbred mouse strains, in conjunction with studies of humans, suggest that genetic variation is involved in determining the frequency of obesity and DM2 subjects (3, 4).

A reduction in metabolic rate and fatty acid (FA) oxidation, perhaps associated with low sympathetic nervous activity, are thought to increase the risk of developing obesity and associated pathologies such as diabetes and cardiovascular disease (5). To date, the most commonly found single gene mutation discovered to be associated with obesity occurs in the melanocortin-4 receptor (MC4R) gene (6, 7, 8, 9, 10). Although hyperphagia is a significant factor in obesity because of MC4R haploinsufficiency (11), the results of pair-feeding studies in mouse models indicate that, in the adult mouse, metabolic factors might also contribute to the obese phenotype of MC4R-deficient subjects (12).

The MC4R is expressed in areas of the central nervous system that regulate the activity of neuroendocrine and autonomic systems (13, 14, 15). Consistent with neuroanatomical evidence supporting a role for the MC4R in regulating autonomic activity, Mc4r-/- mice exhibit an attenuated thermogenic response to hyperphagia (16, 17) and to the stimulation of renal sympathetic nervous activity by leptin, insulin, and the nonspecific melanocortin agonist MTII (18). MC4R are also required for the increase in oxygen consumption (VO2) and suppression of food intake by MTII (19, 20). In the paraventricular nucleus of the hypothalamus, MC4R mRNA is expressed in thyroid-releasing hormone (TRH) (15) and corticotropin-releasing factor (CRF) neurons (21). Activation of MC4R on TRH neurons in the paraventricular nucleus of the hypothalamus stimulates TRH synthesis and increases T3 and T4 levels in the circulation (15, 22, 23). Activation of MC4R expression on CRF neurons increases CRF transcription and circulating corticosterone levels (21).

Mc4r-/- mice on a mixed 129;B6 background rapidly developed insulin resistance, with fasting hyperglycemia and hyperinsulinemia (12, 24, 25). We have now backcrossed the null Mc4r allele onto the C57BL/6J (B6) background, which will facilitate the comparison of the phenotype of Mc4r-/- mice with other transgenic and spontaneous mutant models of DM2. In this article, we describe the results of studies using indirect calorimetry and gene expression analysis to examine metabolism of Mc4r-/- and Lepob/Lepob mice. Mice were continuously housed in the metabolic chambers and fed purified diets. Surprisingly, our data indicate that obese Mc4r-/- mice have a lower energy expenditure (EE), adjusted for fat-free mass (FFM), when compared with Lepob/Lepob mice. In older obese mice, the expression of genes involved in FA oxidation, carnitine palmitoyltransferase (CPT1a), and acyl-coenzyme A oxidase (AOX) is increased in liver of Lepob/Lepob mice compared with both lean wild-type (WT) and obese Mc4r-/- mice. In contrast, the expression of a key lipogenic gene, FA synthase (FAS), is 3-fold higher in older obese Mc4r-/- mice compared with Lepob/Lepob mice. Mc4r-/- mice on the B6 background develop hepatic steatosis and insulin resistance similar to that observed in Lepob/Lepob mice, which is secondary to obesity. On a mixed genetic background, Mc4r-/- mice develop severe hepatic steatosis before the onset of obesity. This could indicate an important role for the MC4R in regulating liver metabolism that is masked on the B6 background.


   Materials and Methods
Top
 Abstract
 Introduction
 Materials and Methods
Results
 Discussion
 References
 
Experimental animals
All studies were reviewed and approved by the Pennington Biomedical Research Center Institutional Animal Care and Use Committee. In experiment 1, we examined EE and estimated substrate oxidation [respiratory exchange ratio (RER)] in obese female Mc4r-/- and Lepob/Lepob mice on the B6 background. All mutant mice were generated using heterozygote parents and were genotyped as previously described (16, 26). Lepob/Lepob mice were derived from a colony of B6.V-Lepob mice purchased from Jackson Laboratories (Bar Harbor, ME). WT refers to B6 mice derived from the Mc4r+/- and B6.V-Lepob breeding colonies. Fat mass (FM) and FFM were determined in triplicate by nuclear magnetic resonance (NMR) using a Bruker Mice Minispec NMR Analyzer (Bruker Optics Inc., Billerica, MA).

In experiment 2, we analyzed gene expression in preobese Mc4r-/- mice. For this experiment, Mc4r-/- mice on two genetic backgrounds were used. We examined gene expression in Mc4r-/- mice on the B6 background and in Mc4r-/- mice derived from an outbred colony on a Black Swiss [NIHNTac:NIH(S)-Tyrp1+,Tyr+];129 background (BSw;129).

Three purified diets using lard and soybean oil as the source of fat were purchased from Research Diets, Inc. (New Brunswick, NJ). The low-fat diet [catalog no. D12450B, 15.9 kJ/g, food quotient (FQ) = 0.925] had 10% kJ from fat, 70% kJ from carbohydrate, and 20% kJ from protein. The high-fat diet (catalog no. D12451, 19.7 kJ/g, FQ = 0.823) had 45% kJ from fat, 35% kJ from carbohydrate, and 20% kJ from protein. The very high-fat diet had 60% kJ from fat and 20% kJ from carbohydrate and protein (catalog no. D12492, 21.8 kJ/g, FQ = 0.781).

Indirect calorimetry
Indirect calorimetry was performed, as described previously, using a 16-chamber Oxymax system (Columbus Instruments, Columbus, OH) (16, 27). Mice were housed on a 12 h light and dark cycle (dark 0100–1300 h, light 1300–0100 h) at 28 C. Mice were allowed 5–7 d to acclimate to the novel environment with free access to food, which was placed on the wire mesh at the bottom of the chamber, and water. Plastic tubing was supplied to minimize stress associated with housing on wire mesh.

EE (kJ/h) was calculated using VO2 (VO2 x [3.815 + (1.232 x RER)] x 4.1868). Percent energy from substrate oxidation (F%, C%) was estimated using the RER (28), and the balance was then calculated by subtracting total kJ of substrate oxidized from the amount ingested over the 3-d period. RER, VO2, and EE data were analyzed as bins of either 4 h or as dark and light periods.

Percent relative cumulative frequency (PRCF) curves were calculated as described previously (29). The analysis of PRCF curves is a recently developed method used to evaluate calorimetry data. To calculate the PRCF curves for VO2, EE, and RER, data sets from mutant or WT mice were pooled, and the cumulative frequency calculated in Microsoft Excel (Microsoft Corporation, Redmond, WA). The advantage of this method is that it allows for the comparison of the range of metabolic data between groups. For VO2 and EE, this provides an easy visual method for comparing metabolic rate between low (corresponding to resting metabolic rate) and high (activity-based EE) values. Differences in basal metabolic rate, affecting VO2 and EE throughout the diurnal cycle, are predicted to result in a parallel shift of the S-shaped cumulative frequency curve. On the other hand, differences in activity-based EE would be predicted to affect the curve in the upper quartile only.

Triglyceride (TG), glucose, insulin, and FA measurements.
Total lipid content of liver was quantitated using a chloroform-methanol extraction (30), and tissue TG content was determined as described previously (31). Commercially available kits were used to determine serum insulin (CrystalChem Inc., Downers Grove, IL) and TG (GPO-Trinder; Sigma-Aldrich Corp., St. Louis, MO). Venous blood glucose levels were measured from tail-vein blood sample using a Glucometer Elite (Bayer Corp., Elkhart, IN).

RNA expression analysis
Total RNA, extracted from tissues using TRI Reagent, was kept in Rnase-free formazol (Molecular Research Center, Inc., Cincinnati, OH). Quantitation of mRNA expression, using cyclophilin B as a standard, was performed using an ABI Prism 7700 HT sequence detection system (Applied Biosystems, Foster City, CA) as described previously (32). The primers and probes for cyclophilin B and peroxisome proliferator receptor (PPAR) {alpha} have been described previously (29, 33). Primer and probe combinations were designed using the genomic sequence obtained from the National Center for Biotechnology Information [gene and accession no.: AOX, AF006688; L-CPT1a, AF17175; FAS, AF127033; FA translocase/CD36, NM007643, sterol regulatory element binding protein (SREBP) 1, AF374266]. All primer-probe combinations were designed to span introns to minimize signals arising from RNA template and genomic DNA contamination.

Gel electrophoresis and immunoblotting
Frozen tissue was homogenized in a buffer containing 150 mM NaCl, 10 mM Tris (pH 7.4), 1 mM EGTA, 1 mM EDTA, 1% Triton X-100, 0.5% Nonidet P-40, 1 µM phenylmethylsulfonylfluoride, 1 µM pepstatin, 50 trypsin inhibitory mU of aprotinin, 10 µM leupeptin, and 2 mM sodium vanadate. Homogenates were centrifuged for 10 min at 5000 rpm to remove any debris and insoluble material and then analyzed for protein content.

Protein extracts were separated in 5%, 7.5%, 10%, or 12% polyacrylamide (acrylamide from National Diagnostics, Atlanta, GA) gels containing sodium dodecyl sulfate (SDS) and transferred to nitrocellulose (Bio-Rad Laboratories, Hercules, CA) in 25 mM Tris, 192 mM glycine, and 20% methanol. After transfer, the membrane was blocked in 4% milk for 1 h at room temperature. Mouse monoclonal antibodies to FAS were purchased from BD Transduction Laboratories (Lexington, KY). Polyclonal antibodies to SREBP 1, PPAR{alpha}, insulin receptor substrate (IRS) 2, and p65 were purchased from Santa Cruz Biotechnology Inc. (Santa Cruz, CA). The SREBP1 antibody was raised against the N-terminal domain of SREBP1 and, thus, recognizes both the full-length mature protein (p125) and the N-terminal nuclear fragment of SREBP1 (p68). Acetylcoenzyme A carboxylase (ACC) {alpha} and ß were detected as described previously (34). Results were visualized with horseradish peroxidase (HRP)-conjugated secondary antibodies (Sigma) and enhanced chemiluminescence (Pierce, Rockford, IL).

Statistics
All data presented are mean ± SEM. Statistical analysis of studies comparing genotype and diet used a two-way ANOVA, with diet and genotype as variables, followed by all pair-wise multiple comparison procedures (Student-Newman-Keuls test). Statistical analysis used the SigmaStat Software for Windows version 2.03 (SPSS Inc., Chicago, IL). For studies comparing two groups, statistical analysis used the Student’s t test.


   Results
Top
 Abstract
 Introduction
 Materials and Methods
 Results
Discussion
 References
 
Experiment 1: analysis of metabolism in obese Mc4r-/- mice
Body weight and food intake data.
Lepob/Lepob mice are temperature sensitive and exhibit signs of distress when housed in wire-bottom cages at standard room temperatures (20–25 C); therefore, we maintained temperature at a constant 28 C. Female Mc4r-/- (n = 8), Lepob/Lepob (n = 10), and WT controls (n = 8), aged 2.5–3.5 months of age, were individually housed and fed the low-fat purified diet (D12450B, 10% kJ from fat) for 1 month. The mice were then acclimated to the metabolic chambers for 5–7 d. FM and FFM were measured 3 h after the end of the dark period on the first day of the experiment, after 3 d on the low-fat diet, and again after 3 d on the high-fat diet (D12451, 45% kJ from fat; Table 1Go). Lepob/Lepob mice had increased body weight due to more FM, whereas, for Mc4r-/- mice, increased body weight was due to more FM and FFM (FFM: WT, 14.8 ± 0.2 g; Lepob/Lepob, 15.9 ± 0.6 g; Mcr4-/-, 19.1 ± 0.6 g; P < 0.01 compared with WT and Lepob/Lepob; FM: WT, 1.9 ± 0.2 g; Lepob/Lepob, 20.3 ± 1.3 g; Mcr4-/-, 11.3 ± 1.1 g; P < 0.01 between all groups).


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  		TABLE 1. Body weight and food intake data for mice housed in metabolic chamber fed either an LF diet (10% kJ/fat, 20% kJ/protein, and 70% kJ/carbohydrate) or HF diet (45% kJ/fat, 20% kJ/protein, and 35% kJ/carbohydrate)

 
Energy intake data, total and adjusted for FFM, are shown in Table 1Go. Hyperphagia in Mc4r-/- mice was affected by dietary fat content, as reported previously using chow diets (16, 17). Although high-fat diets are normally expected to induce hyperphagia, we have observed an initial 20% reduction in energy consumption using diet D12451 in other experiments. Moreover, chronic exposure to diet D12451, unlike very high-fat diets, does not induce hyperphagia in longer term studies (35).

Comparison of EE in obese Mc4r-/- and Lepob/Lepob mice.
In previous experiments examining EE of Mc4r-/- mice, recordings were limited to a short period in the light cycle (16). We were also not able to compensate for the greater metabolic activity of lean tissues compared with adipose (36), with VO2 and EE data not adjusted for FFM. In the present study, we obtained EE data over several days, allowing us to examine the diurnal variation. VO2 and EE exhibited a grossly normal circadian rhythm irrespective of genotype or diet (Fig. 1Go, A and B). As reported by others (37), obesity associated with leptin deficiency (Lepob/Lepob) was associated with higher EE adjusted for lean mass. However, obese Mc4r-/- mice appeared to have normal EE. Analysis using two-way ANOVA indicated significant effects of diet (P < 0.05) and genotype (P < 0.05), with least square means for VO2 and EE listed in Table 2Go.



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  		FIG. 1. Attenuated increase in VO2 and heat of Mc4r-/- mice, relative to WT and Lepob/Lepob mice, in response to high-fat (HF) diet. Analysis of the data pooled as 4-h bins showed that the circadian rhythm in VO2 (A) and EE (B) was not affected by genotype, with peak values occurring at the beginning of the dark phase. Introduction of the HF diet resulted in an increase in VO2 and EE. To calculate the rate of increase, data from the light and dark periods were pooled and the percent increase calculated for each period for VO2 (C) and EE (D). The percent increase in VO2 and EE was lower in Mc4r-/- mice, especially in the dark period on d 1 of exposure to the HF diet. *, P < 0.05 compared with WT and Lepob/Lepob. LF, Low-fat.

 

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  		TABLE 2. Least squares means of VO2 and EE for Mc4r-/-, Lepob/Lepob, and WT controls during the lights-on and lights-off cycles

 
Comparison of the PRCF curves for VO2 and EE reveal that, when fed the low-fat diet, the largest differences between strain occur in the upper quartile range (Fig. 2Go, A and C). After the introduction of the high-fat diet, the difference in the PRCF curves of VO2 and EE for WT and Mc4r-/- mice became more noticeable, again in the upper quartile range (Fig. 2Go, B and D). This is consistent with the observation that the major differences in the increase of VO2 and EE of Mc4r-/- mice compared with WT and Lepob/Lepob mice occur during the lights-off phase (Fig. 1Go, C and D). This observation is also consistent with lower peak VO2 and EE values for Mc4r-/- mice during the early phase of the dark cycle, observed upon careful observation of the diurnal rhythm (Fig. 1Go, A and B), and with the differences in diet-induced thermogenesis, which were greatest during the lights-off cycle (Fig. 1Go, C and D). This might indicate differences in activity-based EE or perhaps the thermic effect of feeding of Mc4r-/- mice compared with WT mice. The right shift of the curve of Lepob/Lepob mice compared with WT and Mc4r-/- mice occurs over the total curve, perhaps indicating changes in basal metabolic rate.



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  		FIG. 2. PRCF of VO2 (A, B) and heat (C, D) of WT, Mc4r-/-, and Lepob/Lepob mice on low-fat (LF) (A, C) or high-fat (HF) (B, D) diets. Each curve represents the cumulative frequency of 800-1200 data points for eight WT, eight Mc4r-/-, or 10 Lepob/Lepob mice.

 
The lower metabolic rate of Mc4r-/- mice relative to Lepob/Lepob mice is an intriguing and unexpected observation. It is possible that the increased EE of obese Lepob/Lepob mice compared with obese Mc4r-/- mice represents an adaptive response to weight gain that has been reported in humans (38). The attenuated increase in EE of obese Mc4r-/- mice could, therefore, indicate a role for this receptor in the increased EE associated with obesity. Alternatively, a threshold level of obesity required to increase EE might not have been achieved in Mc4r-/- mice, which were not as obese as the Lepob/Lepob mice (34–37% vs. 47–51% body fat, respectively; Table 1Go).

Substrate oxidation of female obese WT, Mc4r-/-, and Lepob/Lepob mice fed purified low-fat and high-fat diets ad libitum.
For the 3 d on the low-fat diet, RER was stable and was not affected by genotype (mean RER over 3 d: WT, 0.984 ± 0.016; Lepob/Lepob, 0.988 ± 0.011; Mc4r-/-, 0.990 ± 0.021; Fig. 3AGo). Introduction of the high-fat diet was associated with a decline in the RER irrespective of genotype. However, the mean RER over the 3 d on the high-fat diet was significantly higher in Mc4r-/- mice (RER: Mc4r-/-, 0.859 ± 0.012; Lepob/Lepob, 0.830 ± 0.011; WT, 0.804 ± 0.007; post hoc analysis: Mc4r-/- vs. WT, P < 0.01; Mc4r-/- vs. Lepob/Lepob, P = 0.059; Lepob/Lepob vs. WT, P = 0.088). The difference in the RER of Mc4r-/- mice fed the high-fat diet compared with both WT and Lepob/Lepob mice was maximal between 24 and 48 h after the introduction of the high-fat diet (Fig. 3AGo). During the dark period of d 2 on the high-fat diet, the RER of Mc4r-/- mice was significantly higher than WT and Lepob/Lepob mice (P < 0.05).



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  		FIG. 3. Higher RER in Mc4r-/- mice, relative to WT and Lepob/Lepob mice, in response to high-fat (HF) diet is associated with a higher RER to FQ ratio, weight gain, and an imbalance in FA metabolism. (A) Analysis of the data as 4-h bins showed that RER ranged between 0.9 and 1.1 on the low-fa (LF) data and was similar between genotypes. Introduction of the HF diet resulted in a decline in the RER irrespective of genotype; however, the RER of Mc4r-/- mice was higher over the first 2 d. Comparison of the ratio of RER to FQ (RER/FQ) (B, D) with weight gain (C), and the balance (Bal.) of nutrient consumption (Int.) and oxidation (Oxidn) (E). Weight gain correlates with the RER to FQ ratio, with weight gain observed when the RER to FQ ratio is greater than 1 (analysis of weight gain by two-way ANOVA: genotype, P = 0.185; diet, P = 0.018; genotype x diet, P = 0.06; analysis of RER to FQ ratio by two-way ANOVA: genotype, P = 0.071; diet, P < 0.001; genotype x diet, P = 0.179; *, significantly different from LF within genotype, P < 0.05; a, significantly different from WT between genotype, P < 0.05). For the 3 d on the HF diet, weight gain correlated with the balance of fat consumption with FA oxidation (compare C with E). A negative balance of fat consumption and FA oxidation observed in WT mice was associated with weight loss, whereas a positive balance of fat consumption to FA oxidation observed in Mc4r-/- mice was associated with weight gain (*, significantly different from intake within genotype, P < 0.01). Carbohydrate consumption and oxidation were balanced irrespective of genotype.

 
The ratio of RER to the FQ indicates the balance of nutrient intake and oxidation and must be balanced over the long term to maintain a constant body weight (39, 40). Energy stored as glycogen is rapidly depleted when compared with the far greater amount of energy stored in the form of TG. It has been proposed that, therefore, it is more important to maintain a balance between carbohydrate consumption and oxidation (39, 40). In these experiments, the RER to FQ ratio correlated with the change in weight on the high-fat diet (Fig. 3Go, C and D). On the low-fat diet, the RER to FQ ratio was greater than 1 irrespective of genotype, and all mice gained weight. On the high-fat diet, the RER to FQ ratio declined to less than 1 in WT and Lepob/Lepob mice for long periods. However, the RER to FQ ratio remained greater than 1 in Mc4r-/- mice fed the high-fat diet. Mc4r-/- mice gained significantly more weight than WT mice on the high-fat diet (P < 0.01).

The balance of substrate intake and oxidation during high-fat feeding was estimated by calculating the percent of total energy derived from FA oxidation (F%) using the RER (28) (Fig. 3EGo). The results of the analysis of fat and carbohydrate balance (kJ consumed - kJ oxidized) during the period on the high-fat diet indicate that carbohydrate intake and oxidation were balanced irrespective of genotype. In contrast, fat balance correlated with the RER to FQ ratio and weight gain data (compare Fig. 3EGo with Fig. 3Go, C and D), with only Mc4r-/- mice exhibiting a positive fat balance on the high-fat diet. Overall, the data are consistent with tightly regulated carbohydrate oxidation and consumption, with differences in weight gain correlating with the balance of fat consumption and oxidation.

Blood chemistries and liver lipid data of obese female WT, Mc4r-/-, and Lepob/Lepobmice.
After the completion of indirect calorimetry experiments, all mice were returned to group housing (two per cage) for 4–6 wk on the low-fat diet. Mice were then either placed on the high-fat diet for 2 d, which was the period with the greatest differences in RER between the strains, or left on the low-fat diet (n = 6 per group). FM and FFM were measured after a 4-h fast, and tissues and sera were collected for analysis. Group-housed Mc4r-/- and Lepob/Lepob mice were hyperphagic compared with WT, irrespective of diet (data not shown). FM as a percent of total body weight did not change in WT mice and increased by 7% in Mc4r-/- mice and 11% in Lepob/Lepob mice (data not shown).

Blood chemistries for WT and obese Mc4r-/- and Lepob/Lepob mice are shown in Table 3Go. Both Mc4r-/- and Lepob/Lepob mice were hyperinsulinemic, although the increase was significant only for Lepob/Lepob mice (P < 0.05 compared with WT and Mc4r-/- mice). The lower fasting insulin in obese Mc4r-/- mice compared with obese Lepob/Lepob mice might be due to a more severe obesity or, alternatively, the increase in corticosterone associated with leptin deficiency. Hypercorticosteronemia is a significant factor in the insulin-resistant phenotype of leptin-deficient mice (41) and is not observed in Mc4r-/- mice (24). Diet had a significant effect on serum insulin (two-way ANOVA, P < 0.01), with a 2- to 3-fold increase in fasting insulin observed in Mc4r-/- and Lepob/Lepob mice on the high-fat diet compared with the low-fat diet. Blood glucose levels were normal in Lepob/Lepob mice compared with WT, which agrees with earlier studies showing euglycemia in older animals (42, 43). Mc4r-/- mice exhibited a significant but small (30 point) increase in blood glucose (P < 0.01 compared with Lepob/Lepob and WT mice). Serum free FA levels were not significantly different between strain. On low-fat diet, serum TG levels were lower in Mc4r-/- mice compared with WT mice. Serum nonesterified FA (NEFA), TG, and glucose levels were not affected by diet. Liver TG content was increased in Mc4r-/- and Lepob/Lepob mice to a comparable extent, with no effect of diet (Fig. 4Go)


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  		TABLE 3. Blood chemistries of WT, obese Mc4r-/-, and obese Lepob/Lepob mice

 


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  		FIG. 4. Genetic background effects on the development of hepatic steatosis in Mc4r-/- mice. Preobese Mc4r-/- mice (6 and 11 wk old) in the B6 background do not exhibit hepatic steatosis, whereas preobese Mc4r-/- mice in the BSw;129 background exhibit severe hepatic steatosis at 9 wk of age. Liver TG content was measured in B6 Mc4r-/- mice in the B6 background at various ages (left) and in BSw;129 Mc4r-/- mice at 9 wk of age (right). F6, 6-wk-old female mice; M6, male 6-wk-old mice; M11, male 11-wk-old mice; F20L, 5-month-old obese female mice fed a purified low-fat diet; F20H, 5-month-old obese female mice fed a purified high-fat diet for 48 h; M9L, 9-wk-old BSw;129 mice fed low-fat diet; M9H, 9-wk-old BSw;129 mice fed high-fat diet. *, P < 0.05 compared with WT.

 
Hepatic gene expression and protein levels in obese female WT, Mc4r-/-, and Lepob/Lepob mice.
The expression of genes involved in lipogenesis and TG synthesis [SREBP1, FAS, and acylcoenzyme A:diacylglycerol acyltransferase (DGAT) 2; Fig. 5Go, A–C] and FA oxidation (PPAR{alpha}, CPT1a, and AOX; Fig. 5Go, D and F) was examined using quantitative RT-PCR. ACC, FAS, SREBP1, PPAR{alpha}, and IRS2 protein levels were also examined by Western blot analysis (Fig. 6Go).



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  		FIG. 5. Expression of genes involved in FA and TG synthesis (A–C) and FA oxidation (D, F) in liver of WT controls, obese Mc4r-/- (KO), and obese Lepob/Lepob mice (OB). Mice were fed the purified low-fat diet (open bars) or a purified high-fat diet for 48 h (solid bars). Blood chemistries for these mice are shown in Table 3Go. Statistical analysis used a two-way ANOVA (effects of genotype: a, P < 0.001 compared with WT and Lepob/Lepob; b, P < 0.05 compared with WT; c, P < 0.05 compared with WT and Lepob/Lepob; effects of diet: *, P < 0.05 compared with low-fat diet.

 


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  		FIG. 6. Levels of ACC, FAS, SREBP1, PPAR{alpha}, IRS2, and p65 (used as a loading control) proteins in liver of Mc4r-/- and Lepob/Lepob mice compared with WT controls. An increase in FAS and ACC protein in Mc4r-/- and Lepob/Lepob mice compared with WT controls was not associated with an increase in SREBP1, consistent with the mRNA data shown in Fig. 5Go. PPAR{alpha} protein levels were increased in livers of Lepob/Lepob mice compared with Mc4r-/- and WT mice, which is also consistent with mRNA expression data shown in Fig. 5Go. The upper band in the SREBP1 blot represents the full-length form; the lower band represents the proteolytically cleaved transcriptionally active N terminus of SREBP1. For ACC, FAS, SREBP1, and PPAR{alpha}, two samples from individual mice fed the low- or high-fat diets are shown. For IRS2 and p65, three samples from mice fed the low-fat diet are shown.

 
Analysis of gene expression data using two-way ANOVA revealed that diet had no significant effect on the expression of lipogenic or oxidative genes. Genotype had no effect on the expression of SREBP1 mRNA (Fig. 5AGo) or protein levels (Fig. 6Go). In liver of Mc4r-/- mice, FAS mRNA levels were increased 7- to 10-fold compared with WT mice (P < 0.001) and 2- to 3-fold compared with Lepob/Lepob mice (P < 0.001) (Fig. 5BGo). The greater increase in FAS mRNA expression in Mc4r-/- mice compared with Lepob/Lepob mice correlated with changes in FAS protein levels, which were highest in Mc4r-/- mice (Fig. 6Go). The level of ACC protein, which catalyzes the first step in FA biosynthesis, was also increased in liver of Mc4r-/- and Lepob/Lepob mice compared with WT mice (Fig. 6Go). DGAT2 mRNA, which encodes an enzyme involved in the final step of TG synthesis, was increased in Mc4r-/- and Lepob/Lepob mice but was not significantly different on the low-fat diet (Fig. 5CGo). DGAT2 mRNA expression levels were increased by exposure to a high-fat diet (P < 0.05), perhaps as the result of increased stimulation by insulin (44).

There was a 2- to 3-fold increase in the expression of genes involved in FA oxidation (PPAR{alpha}, CPT1a, and AOX) in liver of Lepob/Lepob mice compared with WT and Mc4r-/- mice (Fig. 5Go, D–F). Analysis of PPAR{alpha} protein levels by Western blot analysis confirmed that the increase in PPAR{alpha} mRNA resulted in increased protein levels in Lepob/Lepob mice compared with both WT and Mc4r-/- mice (Fig. 6Go).

An age-dependent increase expression of PPAR{alpha} mRNA in liver of obese Lepob/Lepob mice has been reported previously and is also observed in obese serotonin 2C receptor knockout mice (45). Our observation that the age-dependent increased expression of PPAR{alpha} and PPAR{alpha}-regulated genes does not occur in obese Mc4r-/- mice might indicate a role for this receptor in what could be an adaptive response to obesity. In addition, the increased expression of a lipogenic gene (FAS) and reduced expression of oxidative genes in the liver of Mc4r-/- mice compared with Lepob/Lepob mice correlate with differences in the thermogenic and substrate oxidation observed in these two obese strains in response to a high-fat diet (Figs. 1–3GoGoGo). The increased expression of FA oxidative genes appears to correlate with the robust thermogenic response and the higher rate of FA oxidation of Lepob/Lepob mice relative to Mc4r-/- mice. It is also possible that lipogenesis is reduced in obese Lepob/Lepob mice compared with obese Mc4r-/- mice.

The regulation of FAS mRNA expression is complex, involving numerous nuclear transcription factors (SREBP1c, liver X receptor, insulin-induced gene, and PPAR{gamma}) that respond to insulin, sterols, and carbohydrate levels (46, 47, 48). Hyperinsulinemia stimulates the expression of lipogenic genes in liver through SREBP1c and possibly PPAR{gamma} (49, 50, 51). Hyperinsulinemia also suppresses IRS2 transcription, leading to a reduced ability of insulin to suppress hepatic glucose output while simultaneously stimulating lipogenesis (51, 52). IRS2 protein levels were reduced to a similar extent in Mc4r-/- and Lepob/Lepob mice, suggesting that hyperinsulinemia in both strains is associated with reduced signaling through IRS2 (Fig. 5Go).

The 10-fold increase in FAS mRNA in the liver of Mc4r-/- mice is interesting in that the increase was 3-fold greater than that observed in Lepob/Lepob mice, and it also does not appear to involve an increase inSREBP1 mRNA or protein (Figs. 5Go and 6Go). Overall, a different pattern of the changes was observed in hepatic gene expression in obese Mc4r-/- and Lepob/Lepob mice. In Mc4r-/- mice, a key lipogenic gene (FAS) is increased nearly 10-fold. In contrast, in Lepob/Lepob mice, there is an increase in the expression of a group of genes involved in FA oxidation (PPAR{alpha}, AOX, and CPT1a). The increase in FAS mRNA in the liver of obese Mc4r-/- mice compared with obese Lepob/Lepob mice might be due to differences in nuclear SREBP1c, which were not measured in this study. Whether the changes in gene expression are due to a specific role for the MC4R in suppressing liver FAS expression and increasing PPAR{alpha} activity or, alternatively, are due to local differences in liver metabolism in situations of obesity was not determined in this study. It is also important to note that the differences in hepatic gene expression between Mc4r-/- and Lepob/Lepob mice were not associated with changes in liver TG levels. This could indicate differences in the equilibrium of FAs between the liver and extrahepatic peripheral tissues.

Experiment 2: analysis of metabolism in preobese Mc4r-/- mice
FAS mRNA expression is not increased in preobese Mc4r-/- mice.
Older Mc4r-/- mice exhibit an increase in FAS mRNA expression and a reduction in IRS2 protein that is similar to that reported in other mouse models of insulin resistance. We examined the extent to which the changes in hepatic gene expression were due to prolonged hyperinsulinemia, as opposed to a specific response to a reduction in MC4R activity, by comparing FAS mRNA expression in preobese Mc4r-/- and WT mice. Six-week-old female Mc4r-/- (n = 4), Mc4r+/- (n = 6), and Mc4r+/+ (n = 5) mice were fasted overnight and then refed a purified low-fat diet for 3 h. Before refeeding, FFM and FM were measured by NMR. After refeeding, mice were anesthetized by brief exposure to CO2 before euthanasia. The data shown are from female mice, similar results were observed in males.

At 6 wk of age, Mc4r-/- mice were significantly larger than their WT littermates; however, the difference was not due to an exclusive increase in FM (Fig. 7Go). Food intake over the 3-h refeeding period was not significantly different. Blood chemistry (insulin, leptin, glucose, and NEFA) were also not significantly different (Fig. 7Go). Liver TG content was significantly increased in preobese female Mc4r-/- mice (Fig. 4Go). However, the magnitude of the increase in liver TG in preobese female Mc4r-/- males was mild when compared with that observed in older obese Mc4r-/- mice. Moreover, liver TG levels were normal in male Mc4r-/- mice at 6 wk and 11 wk of age. Liver FAS mRNA expression was not significantly different in preobese 6-wk-old female Mc4r-/- mice (Fig. 7Go) or in 6-wk or 11-wk-old male Mc4r-/- mice (data not shown). Overall, the data suggest that the development of hepatic steatosis in Mc4r-/- mice in the B6 background is likely to be secondary to hyperinsulinemia associated with obesity.



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  		FIG. 7. Preobese Mc4r-/- and Mc4r+/- mice in the B6 background are not hyperinsulinemic or hyperglycemic and have normal levels of leptin and NEFA. Liver FAS mRNA expression is not significantly different in the absence of hyperinsulinemia. Hepatic steatosis and increased FAS mRNA and protein expression observed in older B6 Mc4r-/- mice (Figs. 4–6GoGoGo) is, therefore, probably secondary to obesity-induced hyperinsulinemia.

 
Preobese Mc4r-/- in the BSw;129 background can exhibit hepatic steatosis without fasting hyperinsulinemia.
Genetic background can have a marked effect on the genotype of transgenic, knockout mice and spontaneous mutant mice (53, 54). To determine whether genetic background has an effect on the development of insulin resistance, we examined the phenotype of BSw;129 Mc4r-/- mice. We used male BSw;129 Mc4r-/- mice aged 8 wk that had been fed the purified low-fat diet or a purified very high-fat diet (D12492, 60% kJ from fat) for 5 d. FFM was not significantly different in BSw;129 Mc4r-/- and BSw;129 Mc4r+/+ mice at this age and in this strain (data not shown). On the low-fat diet, FM was similar in BSw;129 Mc4r-/- and BSw;129 Mc4r+/+ mice (FM as a percent of total body weight: BSw;129 Mc4r-/-, 18.2 ± 1.1%; BSw;129 Mc4r+/+, 16.0 ± 1.5%). On the high-fat diet, FM was significantly higher in BSw;129 Mc4r-/- mice compared with BSw;129 Mc4r+/+ mice (FM as a percent of total body weight: BSw;129 Mc4r-/-, 23.6 ± 2.3%; BSw;129 Mc4r+/+, 18.0 ± 1.8%).

Liver and serum were collected from mice that had been fasted for 4 h. Unlike 6-wk and 11-wk-old Mc4r-/- mice in the B6 background, a marked increase in liver TG was observed in BSw;129 Mc4r-/- mice compared with WT Bsw;129 mice (Fig. 4Go). Liver TG levels in BSw;129 Mc4r-/- mice that were fed the high-fat diet were also significantly increased compared with the levels observed in BSw;129 Mc4r-/- mice fed the low-fat diet (P < 0.01). Hepatic steatosis in BSw;129 Mc4r-/- mice does not appear to be secondary to obesity or hyperinsulinemia. The accumulation of TG in preobese BSw;129 Mc4r-/- mice indicates defects in hepatic FA uptake, FA oxidation, and/or TG secretion in this strain.

The large increase in liver TG would be predicted to be associated with fasting hyperinsulinemia and hyperglycemia. However, this was not the case in most of the BSw;129 Mc4r-/- mice examined. Overall, two groups of BSw;129 Mc4r-/- mice could be distinguished based on fasting insulin and the expression of SREBP1 and FAS mRNA in liver. Data from a representative selection of individual BSw;129 Mc4r-/- and BSw;129 Mc4r+/+ mice are shown in Fig. 8Go.



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  		FIG. 8. Western blot of IRS1 and IRS2 protein, serum insulin, liver TG, and hepatic SREBP1 and FAS mRNA expression for individual preobese BSw;129 Mc4r-/- and BSw;129 Mc4r+/+ mice. In this figure, it is apparent that IRS2 protein levels are not reduced in preobese BSw;129 Mc4r-/- mice. In addition, hepatic steatosis in some preobese BSw;129 Mc4r-/- mice is associated with fasting insulin in the normal range. Overall, fasting insulin correlates with hepatic SREBP1 and FAS mRNA but not with liver TG. This suggests that the development of hepatic steatosis in this model occurs before the development of fasting hyperinsulinemia. Western blots of IRS1, IRS2, and p65 (a loading control) are compared with serum insulin, liver TG, and hepatic SREBP1 and FAS mRNA expression for individual animals. The arrow points to a preobese BSw;129 Mc4r-/- mouse fed a purified high-fat (HF) diet and is included for reference. LF, Low-fat diet; CYC, cyclophilin B.

 
The majority of BSw;129 Mc4r-/- mice (nine of 11 mice) had fasting serum insulin levels in the normal range (562 ± 67 pg/ml compared with 478 ± 31 pg/ml for BSw;129 Mc4r+/+ mice, P = 0.3). Because diet did not have a significant effect on serum insulin, the data from the low-fat and high-fat diet groups were pooled for this analysis. The BSw;129 Mc4r-/- mice with normal insulin levels also had normal expression of SREBP1 and FAS mRNA (data not shown), which was also observed in preobese Mc4r-/- mice in the B6 background. Two BSw;129 Mc4r-/- mice, which happened to be from the group fed the low-fat diet, did have fasting hyperinsulinemia, with insulin levels of 2362 and 1417 pg/ml. Fasting hyperinsulinemia did not correlate with higher levels of liver TG compared with other BSw;129 Mc4r-/- mice, ranging from 107–162 mg/g (Fig. 8Go). However, SREBP1 and FAS mRNA levels were higher in the two hyperinsulinemic BSw;129 Mc4r-/- mice, with the increase in SREBP1 and FAS mRNA proportional to insulin levels (Fig. 8Go).

On the low-fat diet, fasting blood glucose levels were moderately increased in BSw;129 Mc4r-/- mice compared with BSw;129 Mc4r+/+ mice (blood glucose: BSw;129 Mc4r-/-, 129 ± 8 mg/dl; BSw;129 Mc4r+/+, 100 ± 6 mg/dl). The very high-fat diet increased blood glucose 20–30 points in both BSw;129 Mc4r-/- and BSw;129 Mc4r+/+ mice (BSw;129 Mc4r-/-, 165 ± 8 mg/dl; BSw;129 Mc4r+/+, 121 ± 6 mg/dl). Analysis using two-way ANOVA indicates that the effects of diet and genotype on fasting blood glucose are significant (P < 0.01); there was no effect of genotype on the effect of diet (genotype X diet, P = 0.264). The mild increases in fasting glucose associated with the high-fat diet and loss of MC4R signaling might indicate increased hepatic glucose output or insulin resistance in extrahepatic tissues.

IRS2 protein levels are normal in steatotic livers of preobese BSw;129 Mc4r-/- mice.
In Lepob/Lepob and lipodystrophic mice, hepatic steatosis is associated with hepatic insulin resistance, with a reduction in IRS2 protein and an increase in SREBP1 and FAS (51, 55). So far, our data indicate that a dramatic increase in liver TG can occur in BSw;129 Mc4r-/- mice that is not necessarily dependent on increased SREBP1 or FAS activity. To examine whether the increase in hepatic SREBP1 and FAS mRNA observed in the two hyperinsulinemic BSw;129 Mc4r-/- mice is also associated with reduced insulin signaling, we examined IRS1 and IRS2 protein by Western blot analysis (Fig. 8Go). Overall, IRS1 and IRS2 protein levels appeared to be increased, not reduced, in liver of BSw;129 Mc4r-/- mice compared with BSw;129 Mc4r+/+ mice. Hepatic steatosis in preobese BSw;129 Mc4r-/- is thus distinguishable from that observed in Lepob/Lepob and lipodystrophic mice in that it is not necessarily associated with elevated FAS or reduced IRS2.


   Discussion
Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
References
 
Overall, the major findings of these experiments fall into two areas. First, obese Mc4r-/- mice have a significant reduction in EE adjusted for FFM when compared with obese Lepob/Lepob mice. The differences in EE of obese Lepob/Lepob mice compared with obese Mc4r-/- mice correlate with changes in the expression of genes involved in FA oxidation in liver. Second, we have observed a significant effect of genetic background on the development of hepatic steatosis in Mc4r-/- mice. In the majority of BSw;129 Mc4r-/- mice, the 10- to 20-fold increase in liver TG was not associated with fasting hyperinsulinemia or increased FAS mRNA expression. The results from experiment 2 suggest that the development of hepatic steatosis in Mc4r-/- can in some circumstances occur independently of an increase in lipogenic gene expression and could involve defects in FA uptake and oxidation or TG secretion. In contrast, hepatic steatosis in Lepob/Lepob and lipodystrophic models of insulin resistance develops rapidly and is thought to be at least partially due to increased transcription of lipogenic genes in response to hyperinsulinemia (51, 55, 56).

The comparison of calorimetry data between lean and obese strains can be difficult to interpret. Adjusting EE for FFM assumes that FM has a negligible metabolic rate. However, it is important to note that the Mc4r-/- and Lepob/Lepob mice used for indirect calorimetry in the present study were both obese. If FM has a significant contribution to total-body EE, we would have expected differences in EE to correlate with the differences in FM observed between genotypes (WT < Mc4r-/- < Lepob/Lepob). This was not the case, and in fact, EE appeared to be reduced in Mc4r-/- mice not only compared with Lepob/Lepob mice but also compared with WT controls.

The mechanism explaining the increase in EE of Lepob/Lepob mice remains unclear, although an increase in the expression of FA oxidative genes in liver might be a contributing factor. Hyperphagia is one possible cause for the increased metabolic rate of Lepob/Lepob mice compared with WT and Mc4r-/- mice on the purified low-fat diet. However, it is interesting to observe that on the high-fat diet, where energy consumption was equal, Lepob/Lepob mice were still hypermetabolic compared with Mc4r-/- mice. One possibility is that the increased metabolic rate in obese Lepob/Lepob mice might at least partially represent a long-term adaptation to obesity similar to that reported in some clinical studies of obese subjects (38).

Finally, the diabetic phenotype of Mc4r-/- mice in the B6 background is very mild when compared with that reported for mice in a mixed 129;B6 background. This observation is perhaps not surprising when the effects of genetic background on the development of DM2 in Lepob/Lepob mice is taken into consideration. Lepob/Lepob mice in the B6 background are able to maintain normal glucose levels by increasing insulin output from an increased population of ß cells, whereas Lepob/Lepob mice in other backgrounds develop severe DM2 (43, 54).


   Acknowledgments
 
We thank Lauri Byerley and Leslie Kozak for assistance and advice in these studies, and Kristin Fitzgerald, M. Josephine Babin, and Monty Aghazadeh for technical assistance. We thank Dennis Huszar at Millenium Pharmaceuticals Inc. and Roger Cone at the Vollum Institute (Portland, OR) for providing the Mc4r-/- mice.


   Footnotes
 
This work was supported by a grant from the Health Excellence Fund of the Louisiana State University Board of Regents.

Abbreviations: ACC, Acetyl-coenzyme A carboxylase; AOX, acyl-coenzyme A oxidase; B6, C57BL/6J; BSw;129, Black Swiss [NIHNTac:NIH(S)-Tyrp1+,Tyr+];129; CPT1a, carnitine palmitoyltransferase; CRF, corticotropin-releasing factor; DGAT, acyl-coenzyme A:diacylglycerol acyltransferase; DM2, type 2 diabetes mellitus; EE, energy expenditure; FA, fatty acid; FAS, fatty acid synthase; FFM, fat-free mass; FM, fat mass; FQ, food quotient; IRS, insulin receptor substrate; MC4R, melanocortin-4 receptor; NEFA, nonesterified fatty acid; NMR, nuclear magnetic resonance; PPAR, peroxisome proliferator receptor; PRCF, percent cumulative frequency; RER, respiratory exchange ratio; SREBP, sterol regulatory element binding protein; TG, triglyceride; TRH, thyroid-releasing hormone; VO2, oxygen consumption; WT, wild-type.

Received April 11, 2003.

Accepted for publication October 2, 2003.


   References
Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

  1. Mokdad AH, Bowman BA, Ford ES, Vinicor F, Marks JS, Koplan JP 2001 The continuing epidemics of obesity and diabetes in the United States. JAMA 286:1195–1200[Abstract/Free Full Text]
  2. Bray GA 1998 Obesity: a time bomb to be defused. Lancet 352:160–161[CrossRef][Medline]
  3. Ukkola O, Bouchard C 2001 Clustering of metabolic abnormalities in obese individuals: the role of genetic factors. Ann Med 33:79–90[Medline]
  4. Reifsnyder PC, Leiter EH 2002 Deconstructing and reconstructing obesity-induced diabetes (diabesity) in mice. Diabetes 51:825–832[Abstract/Free Full Text]
  5. Snitker S, Macdonald I, Ravussin E, Astrup A 2000 The sympathetic nervous system and obesity: role in aetiology and treatment. Obes Rev 1:5–15[CrossRef][Medline]
  6. Branson R, Potoczna N, Kral JG, Lentes K-L, Hoehe MR, Horber FF 2003 Binge eating as a major phenotype of melanocortin 4 receptor gene mutations. N Engl J Med 348:1096–1103[Abstract/Free Full Text]
  7. Farooqi IS, Keogh JM, Yeo GS, Lank EJ, Cheetham T, O’Rahilly S 2003 Clinical spectrum of obesity and mutations in the melanocortin 4 receptor gene. N Engl J Med 348:1085–1095[Abstract/Free Full Text]
  8. Farooqi IS, Yeo GS, Keogh JM, Aminian S, Jebb SA, Butler G, Cheetham T, O’Rahilly S 2000 Dominant and recessive inheritance of morbid obesity associated with melanocortin 4 receptor deficiency. J Clin Invest 106:271–279[Medline]
  9. Vaisse C, Clement K, Durand E, Hercberg S, Guy-Grand B, Froguel P 2000 Melanocortin-4 receptor mutations are a frequent and heterogeneous cause of morbid obesity. J Clin Invest 106:253–262[Medline]
  10. Jacobson P, Ukkola O, Rankinen T, Snyder EE, Leon AS, Rao DC, Skinner JS, Wilmore JH, Lonn L, Cowan Jr GS, Sjostrom L, Bouchard C 2002 Melanocortin 4 receptor sequence variations are seldom a cause of human obesity: the Swedish Obese Subjects, the HERITAGE Family Study, and a Memphis cohort. J Clin Endocrinol Metab 87:4442–4446[Abstract/Free Full Text]
  11. Weide K, Christ N, Moar KM, Arens J, Hinney A, Mercer JG, Eiden S, Schmidt I 2003 Hyperphagia, not hypometabolism, causes early onset obesity in melanocortin-4 receptor knockout mice. Physiol Genom 13:47–56[Abstract/Free Full Text]
  12. Ste Marie L, Miura GI, Marsh DJ, Yagaloff K, Palmiter RD 2000 A metabolic defect promotes obesity in mice lacking melanocortin-4 receptors. Proc Natl Acad Sci USA 97:12339–12344[Abstract/Free Full Text]
  13. Kishi T, Aschkenasi CJ, Lee CE, Mountjoy KG, Saper CB, Elmquist JK 2003 Expression of melanocortin 4 receptor mRNA in the central nervous system of the rat. J Comp Neurol 457:213–235[CrossRef][Medline]
  14. Mountjoy KG, Mortrud MT, Low MJ, Simerly RB, Cone RD 1994 Localization of the melanocortin-4 receptor (MC4-R) in neuroendocrine and autonomic control circuits in the brain. Mol Endocrinol 8:1298–1308[Abstract/Free Full Text]
  15. Liu H, Kishi T, Roseberry AG, Cai X, Lee CE, Montez JM, Friedman JM, Elmquist JK 2003 Transgenic mice expressing green fluorescent protein under the control of the melanocortin-4 receptor promoter. J Neurosci 23:7143–7154[Abstract/Free Full Text]
  16. Butler AA, Marks DL, Fan W, Kuhn CM, Bartolome M, Cone RD 2001 Melanocortin-4 receptor is required for acute homeostatic responses to increased dietary fat. Nat Neurosci 4:605–611[CrossRef][Medline]
  17. Xu B, Goulding EH, Zang K, Cepoi D, Cone RD, Jones KR, Tecott LH, Reichardt LF 2003 Brain-derived neurotrophic factor regulates energy balance downstream of melanocortin-4 receptor. Nat Neurosci 6:736–742[CrossRef][Medline]
  18. Rahmouni K, Haynes WG, Morgan DA, Mark AL 2003 Role of melanocortin-4 receptors in mediating renal sympathoactivation to leptin and insulin. J Neurosci 23:5998–6004[Abstract/Free Full Text]
  19. Chen AS, Metzger JM, Trumbauer ME, Guan XM, Yu H, Frazier EG, Marsh DJ, Forrest MJ, Gopal-Truter S, Fisher J, Camacho RE, Strack AM, Mellin TN, MacIntyre DE, Chen HY, Van der Ploeg LH 2000 Role of the melanocortin-4 receptor in metabolic rate and food intake in mice. Transgenic Res 9:145–154[CrossRef][Medline]
  20. Marsh DJ, Hollopeter G, Huszar D, Laufer R, Yagaloff KA, Fisher SL, Burn P, Palmiter RD 1999 Response of melanocortin-4 receptor-deficient mice to anorectic and orexigenic peptides. Nat Genet 21:119–122[CrossRef][Medline]
  21. Lu XY, Barsh GS, Akil H, Watson SJ 2003 Interaction between {alpha}-melanocyte-stimulating hormone and corticotropin-releasing hormone in the regulation of feeding and hypothalamo-pituitary-adrenal responses. J Neurosci 23:7863–7872[Abstract/Free Full Text]
  22. Fekete C, Sarkar S, Rand WM, Harney JW, Emerson CH, Bianco AC, Lechan RM 2002 Agouti-related protein (AGRP) has a central inhibitory action on the hypothalamic-pituitary-thyroid (HPT) axis; comparisons between the effect of AGRP and neuropeptide Y on energy homeostasis and the HPT axis. Endocrinology 143:3846–3853[Abstract/Free Full Text]
  23. Fekete C, Legradi G, Mihaly E, Tatro JB, Rand WM, Lechan RM 2000 {alpha}-Melanocyte stimulating hormone prevents fasting-induced suppression of corticotropin-releasing hormone gene expression in the rat hypothalamic paraventricular nucleus. Neurosci Lett 289:152–156[CrossRef][Medline]
  24. Huszar D, Lynch CA, Fairchild-Huntress V, Dunmore JH, Fang Q, Berkemeier LR, Gu W, Kesterson RA, Boston BA, Cone RD, Smith FJ, Campfield LA, Burn P, Lee F 1997 Targeted disruption of the melanocortin-4 receptor results in obesity in mice. Cell 88:131–141[CrossRef][Medline]
  25. Fan W, Dinulescu DM, Butler AA, Zhou J, Marks DL, Cone RD 2000 The central melanocortin system can directly regulate serum insulin levels. Endocrinology 141:3072–3079[Abstract/Free Full Text]
  26. Namae M, Mori Y, Yasuda K, Kadowaka T, Kanazawa Y, Komeda K 1998 New method for genotyping the mouse Lep(ob) mutation, using a polymerase chain reaction assay. Lab Anim Sci 48:103–104[Medline]
  27. Butler AA, Kesterson RA, Khong K, Cullen MJ, Pelleymounter MA, Dekoning J, Baetscher M, Cone RD 2000 A unique metabolic syndrome causes obesity in the melanocortin-3 receptor-deficient mouse. Endocrinology 141:3518–3521[Abstract/Free Full Text]
  28. Elia M, Livesey G 1988 Theory and validity of indirect calorimetry during net lipid synthesis. Am J Clin Nutr 47:591–607[Abstract/Free Full Text]
  29. Liu X, Rossmeisl M, McClaine J, Kozak LP 2003 Paradoxical resistance to diet-induced obesity in UCP1-deficient mice. J Clin Invest 111:399–407[CrossRef][Medline]
  30. Bligh EG, Dyer WJ 1959 A rapid method of total lipid extraction and purification. Can J Biochem Physiol 37:911–917
  31. Atkinson LL, Fischer MA, Lopaschuk GD 2002 Leptin activates cardiac fatty acid oxidation independent of changes in the AMP-activated protein kinase-acetyl-CoA carboxylase-malonyl-CoA axis. J Biol Chem 277:29424–29430[Abstract/Free Full Text]
  32. Coulter AA, Bearden CM, Liu X, Koza RA, Kozak LP 2003 Dietary fat interacts with QTLs controlling induction of Pgc-1 {alpha} and Ucp1 during conversion of white to brown fat. Physiol Genomics 14:139–147[Abstract/Free Full Text]
  33. Hofmann WE, Liu X, Bearden CM, Harper ME, Kozak LP 2001 Effects of genetic background on thermoregulation and fatty acid-induced uncoupling of mitochondria in UCP1-deficient mice. J Biol Chem 276:12460–12465[Abstract/Free Full Text]
  34. Levert KL, Waldrop GL, Stephens JM 2002 A biotin analog inhibits acetyl-CoA carboxylase activity and adipogenesis. J Biol Chem 277:16347–16350[Abstract/Free Full Text]
  35. Bush EN, Shapiro RL, Nuss ME, Kaszubska W, Trevillyan JM, Knourck-Segel VE, Kennedy M, Adler AL, Jirousek MR, Jacobson PB, Adiposity, leptin resistance, hyperphagia, hyperglycemia, glucose intolerance and insulin resistance in C57BL/6J mice fed high fat diets. Program of the 83rd Annual Meeting of The Endocrine Society, Denver, CO, 2001 (Abstract P1-371)
  36. Elia M 1992 Organ and tissue contribution to metabolic rate. In: Kinney JM, ed. Energy metabolism: tissue determinants and cellular corollaries. New York: Raven Press; 61–77
  37. Breslow MJ, Min-Lee K, Brown DR, Chacko VP, Palmer D, Berkowitz DE 1999 Effect of leptin deficiency on metabolic rate in ob/ob mice. Am J Physiol 276:E443–E449
  38. Weyer C, Pratley RE, Salbe AD, Bogardus C, Ravussin E, Tataranni PA 2000 Energy expenditure, fat oxidation, and body weight regulation: a study of metabolic adaptation to long-term weight change. J Clin Endocrinol Metab 85:1087–1094[Abstract/Free Full Text]
  39. Flatt JP 1995 Carbohydrate balance and food intake regulation. Am J Clin Nutr 62:155–157[Free Full Text]
  40. Flatt JP 1995 Use and storage of carbohydrate and fat. Am J Clin Nutr 61:952S–959S
  41. Haluzik M, Dietz KR, Kim JK, Marcus-Samuels B, Shulman GI, Gavrilova O, Reitman ML 2002 Adrenalectomy improves diabetes in A-ZIP/F-1 lipoatrophic mice by increasing both liver and muscle insulin sensitivity. Diabetes 51:2113–2118[Abstract/Free Full Text]
  42. Coleman DL, Hummel KP 1973 The influence of genetic background on the expression of the obese (Ob) gene in the mouse. Diabetologia 9:287–293[CrossRef][Medline]
  43. Hummel KP, Coleman DL, Lane PW 1972 The influence of genetic background on expression of mutations at the diabetes locus in the mouse. I. C57BL-KsJ and C57BL-6J strains. Biochem Genet 7:1–13[CrossRef][Medline]
  44. Meegalla RL, Billheimer JT, Cheng D 2002 Concerted elevation of acyl-coenzyme A:diacylglycerol acyltransferase (DGAT) activity through independent stimulation of mRNA expression of DGAT1 and DGAT2 by carbohydrate and insulin. Biochem Biophys Res Commun 298:317–323[CrossRef][Medline]
  45. Memon RA, Tecott LH, Nonogaki K, Beigneux A, Moser AH, Grunfeld C, Feingold KR 2000 Up-regulation of peroxisome proliferator-activated receptors (PPAR-{alpha}) and PPAR-{gamma} messenger ribonucleic acid expression in the liver in murine obesity: troglitazone induces expression of PPAR-{gamma}-responsive adipose tissue-specific genes in the liver of obese diabetic mice. Endocrinology 141:4021–4031[Abstract/Free Full Text]
  46. Uyeda K, Yamashita H, Kawaguchi T 2002 Carbohydrate responsive element-binding protein (ChREBP): a key regulator of glucose metabolism and fat storage. Biochem Pharmacol 63:2075–2080[CrossRef][Medline]
  47. Horton JD, Goldstein JL, Brown MS 2002 SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver. J Clin Invest 109:1125–1131[CrossRef][Medline]
  48. Yabe D, Komuro R, Liang G, Goldstein JL, Brown MS 2003 Liver-specific mRNA for Insig-2 down-regulated by insulin: implications for fatty acid synthesis. Proc Natl Acad Sci USA 100:3155–3160[Abstract/Free Full Text]
  49. Matsusue K, Haluzik M, Lambert G, Yim SH, Gavrilova O, Ward JM, Brewer Jr B, Reitman, ML, Gonzalez FJ 2003 Liver-specific disruption of PPAR{gamma} in leptin-deficient mice improves fatty liver but aggravates diabetic phenotypes. J Clin Invest 111:737–747[CrossRef][Medline]
  50. Gavrilova O, Haluzik M, Matsusue K, Cutson JJ, Johnson L, Dietz KR, Nicol CJ, Vinson C, Gonzalez FJ, Reitman ML 2003 Liver peroxisome proliferator-activated receptor {gamma} contributes to hepatic steatosis, triglyceride clearance, and regulation of body fat mass. J Biol Chem 278:34268–34276[Abstract/Free Full Text]
  51. Shimomura I, Matsuda M, Hammer RE, Bashmakov Y, Brown MS, Goldstein JL 2000 Decreased IRS-2 and increased SREBP-1c lead to mixed insulin resistance and sensitivity in livers of lipodystrophic and ob/ob mice. Mol Cell 6:77–86[CrossRef][Medline]
  52. Zhang J, Ou J, Bashmakov Y, Horton JD, Brown MS, Goldstein JL 2001 Insulin inhibits transcription of IRS-2 gene in rat liver through an insulin response element (IRE) that resembles IREs of other insulin-repressed genes. Proc Natl Acad Sci USA 98:3756–3761[Abstract/Free Full Text]
  53. Colombo C, Haluzik M, Cutson JJ, Dietz KR, Marcus-Samuels B, Vinson C, Gavrilova O, Reitman ML 2002 Opposite effects of background genotype on muscle and liver insulin sensitivity of lipoatrophic mice. Role of triglyceride clearance. J Biol Chem 278:3992–3999
  54. Lan H, Rabaglia ME, Stoehr JP, Nadler ST, Schueler KL, Zou F, Yandell BS, Attie AD 2003 Gene expression profiles of nondiabetic and diabetic obese mice suggest a role of hepatic lipogenic capacity in diabetes susceptibility. Diabetes 52:688–700[Abstract/Free Full Text]
  55. Shimomura I, Bashmakov Y, Horton JD 1999 Increased levels of nuclear SREBP-1c associated with fatty livers in two mouse models of diabetes mellitus. J Biol Chem 274:30028–30032[Abstract/Free Full Text]
  56. Yahagi N, Shimano H, Hasty AH, Matsuzaka T, Ide T, Yoshikawa T, Amemiya-Kudo M, Tomita S, Okazaki H, Tamura Y, Iizuka Y, Ohashi K, Osuga J, Harada K, Gotoda T, Nagai R, Ishibashi S, Yamada N 2002 Absence of sterol regulatory element-binding protein-1 (SREBP-1) ameliorates fatty livers but not obesity or insulin resistance in Lep(ob)/Lep(ob) mice. J Biol Chem 277:19353–19357[Abstract/Free Full Text]



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