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Physiol. Genomics 27: 131-140, 2006. First published July 18, 2006; doi:10.1152/physiolgenomics.00239.2005 Free Article
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Received 30 September 2005; accepted in final form 10 July 2006.
Physiological Genomics 27:131-140 (2006)
1094-8341/06 $8.00 © 2006 American Physiological Society

Defective carbohydrate metabolism in mice homozygous for the tubby mutation

Yun Wang, Kevin Seburn, Lawrence Bechtel, Bruce Y. Lee, Jin P. Szatkiewicz, Patsy M. Nishina and Jürgen K. Naggert

The Jackson Laboratory, Bar Harbor, Maine


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Tub is a member of a small gene family, the tubby-like proteins (TULPs), with predominant expression in neurons. Mice carrying a mutation in Tub develop retinal and cochlear degeneration as well as late-onset obesity with insulin resistance. During behavioral and metabolic testing, we found that homozygous C57BL/6J-Tubtub mice have a lower respiratory quotient than C57BL/6J controls before the onset of obesity, indicating that tubby homozygotes fail to activate carbohydrate metabolism and instead rely on fat metabolism for energy needs. In concordance with this, tubby mice show higher excretion of ketone bodies and accumulation of glycogen in the liver. Quantitation of liver mRNA levels shows that, during the transition from light to dark period, tubby mice fail to induce glucose-6-phosphate dehydrogenase (G6pdh), the rate-limiting enzyme in the pentose phosphate pathway that normally supplies NADPH for de novo fatty acid synthesis and glutathione reduction. Reduced G6PDH protein levels and enzymatic activity in tubby mice lead accordingly to lower levels of NADPH and reduced glutathione (GSH), respectively. mRNA levels for the lipolytic enzymes acetyl-CoA synthetase and carnitine palmitoyltransferase are increased during the dark cycle and decreased during the light period, and several citric acid cycle genes are dysregulated in tubby mice. Examination of hypothalamic gene expression showed high levels of preproorexin mRNA leading to accumulation of orexin peptide in the lateral hypothalamus. We hypothesize that abnormal hypothalamic orexin expression leads to changes in liver carbohydrate metabolism and may contribute to the moderate obesity observed in tubby mice.

respiratory quotient; glucose-6-phosphate dehydrogenase; orexin; obesity


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
THE AUTOSOMAL RECESSIVE MUTATION tubby (tub), mapping to chromosome 7, occurred spontaneously in a C57BL/6J (B6) mouse (1). Tubby homozygotes display a tripartite phenotype of blindness, deafness, and maturity-onset obesity (1, 11, 33). Obesity in tubby mice is slowly progressive, and tubby homozygous mice moderately increase their food intake as they gain weight (Nishina PM and Naggert JK, unpublished results). Plasma insulin levels also increase as the animals gain weight, and normoglycemia is maintained throughout life. The tubby phenotype of sensory loss coupled with obesity and insulin resistance is similar to that found in two human syndromes, Alstrom (2) and Bardet-Biedl (17).

The tubby mutation was identified as a G-to-T transversion in the splice donor site of the last intron of a novel gene, leading to the loss of the COOH-terminal amino acid sequence encoded by the last exon (16, 31) and consequently to a loss of tubby function (41). The tubby gene is a member of a small gene family that also includes three tubby-like protein (TULP) genes (Tulp1, Tulp2, and Tulp3) (30, 32). The biochemical function of the TULPs is currently not fully understood. Roles as transcription factors (37), as intermediates in insulin signaling (14), or in intracellular transport (3, 7, 8) have been proposed.

Although the mutation was first described more than a decade ago, relatively little is known about the physiological abnormalities underlying the obesity in this model. Here we report that tubby mice have a low respiratory exchange ratio (respiratory quotient; RQ) that does not increase after feeding. This RQ abnormality is accompanied by changes in gene expression and altered metabolism in the liver that may contribute to the observed phenotype of slowly progressive moderate obesity.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Animals.
All animal studies were performed with the approval of The Jackson Laboratory Animal Care and Use Committee (protocol no. 99089). Seven-week-old C57BL/6J.Cg-Tubtub/Jkn (B6-tub/tub) mice, as well as their heterozygote (B6-tub/+) and wildtype (B6-+/+) littermates, were obtained from the Research Animal Facility at The Jackson Laboratory. For collection of the Comprehensive Laboratory Animal Monitoring System (CLAMS) data, homozygous B6.Cg-HbbcTubtub/J mice and control littermates were obtained from Jackson Research Systems. The mice were maintained on an NIH-31 mouse/rat diet with 4% fat (11% calories from fat, no. 5K54; PMI Feeds, St. Louis, MO), fed ad libitum, with free access to water (HCl acidified, pH 2.8–3.2) under controlled temperature and humidity with a 12:12-h light-dark cycle (lights on from 0600 to 1800). Mice were killed between 1600 and 1700 (light cycle sample) and between 2300 and 2400 (dark cycle sample), and liver and brain were harvested for RNA isolation and protein and enzymatic assays.

CLAMS.
CLAMS (Columbus Instruments, Columbus, OH) is a set of live-in cages for automated, noninvasive, and simultaneous monitoring of horizontal and vertical activity, feeding and drinking, O2 consumption (VO2), and CO2 production (VCO2). Seven- to eight-week-old tubby mice and controls were placed in individual CLAMS cages between 1130 and 1300 on the first day of a 3-day test period. A 3-day test period allows examination of response to a novel environment from data collected on day 1 and leaves two additional days for diurnal patterns to be established. Raw data from each mouse were converted from the archive format to Excel and Statistica files for examination and analysis, respectively. Raw data for each of the measures were plotted as a function of time over each of the three consecutive 24-h periods. Mean values from each animal were examined for outliers in each measure relative to the control B6 mice at several different epochs. The epochs examined included exploratory, daily, light, and dark periods and the onset of the 12-h dark period relative to the final portion of the light period.

Data are collected in three files for each animal, including an activity file, bout file, and total file. The activity file displays all activity data recorded every 10 s over the 72-h test period, and the bout file contains number and duration of bout activity during the test. The total file displays all measurements for each parameter (VO2, VCO2, respiratory exchange ratio, heat, accumulated feed, accumulated drink, XY total activity, XY ambulatory activity, and Z activity). The parameters are recorded from a single cage during a 30-s period every hour, beginning with the first cage of the system and ending with the last cage in the circuit. An analysis software program was created to compare each parameter during the explore period (first 3 measurements after placement in the cage), postexplore period (next 3 measurements after placement in the cage), daily means, three measurements before lights are turned off (BF), three measurements after lights are turned off (AF), three measurements before lights turn on (BN), and three measurements after lights are on (12).

Real-time quantitative RT-PCR.
Brain (hypothalamus), liver, muscle, and adipose tissue were collected and immediately placed in liquid nitrogen. RNA was isolated using TRIzol reagent (Life Technologies) according to the manufacturer’s recommendation. Total RNA was further treated with RNase-free DNase I (Ambion). RNA quality and quantity were evaluated by UV spectrophotometry and a total RNA Nano Assay (Agilent Technologies 2100 Bioanalyzer-Bio Sizing, version A.02.01 S1232), respectively.

Oligonucleotide sequences used for real-time PCR assays, length of amplified fragment, and GenBank accession no. of the cDNA from which the primer sequence was derived are in Table 1.


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Table 1. Gene-specific primers

 
Real-time RT-PCR assays were performed as previously described (6, 34). Real-time PCR primers for the quantitative detection of target mRNAs were designed using the Primer Express computer software (Applied Biosystems). The real-time measurements were carried out on an ABI PRISM 7700 SDS instrument. Samples were analyzed in triplicate in three independent runs. Table 1 lists the forward and reverse primers used for the real-time RT-PCR analyses. The size of the PCR products varied from 201 to 215 bp.

To quantify the gene expression profiles, we used the comparative threshold cycle (Ct) method. The Ct value is defined as the cycle number in which the detected fluorescence exceeds the threshold value. Each Ct value was normalized to the expression of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and 18s rRNA. The normalized Ct values for each selected gene were analyzed using the two-way ANOVA method including genotype (B6-+/+, B6-tub/tub), condition (dark/light), and their interactions in the model. In all experiments, the threshold value used to determine Ct during analysis was kept constant. Student’s t-tests were used to compare tubby to B6 mice during light and dark periods separately. Ct values were converted to fold differences in expression according to the equation 2[Ct1(tub/tub)–Ct1(18s rRNA)]–[Ct2(+/+)–Ct2(18s rRNA)], where Ct1(18s rRNA) and Ct2(18s rRNA) represent the Ct values for the 18s rRNA gene in the tubby and normal samples, respectively.

Immunohistochemical analysis and quantitation of orexin by ELISA.
Seven-week-old mice (3 B6-tub/tub and 3 B6-+/+) were anesthetized during the light period (1600) with tribromoethanol and perfused with phosphate-buffered saline (PBS) followed by 4% paraformaldehyde (PFA) in PBS as fixative. Brains were postfixed in the same fixative for 1–3 h, dehydrated, and embedded in paraffin. Serial sections of 6-µm thickness were cut and mounted on slides pretreated with polylysine (Sigma, St. Louis, MO). Sections were deparaffinized in xylene and rehydrated through a graded series of alcohol and PBS. A microwave procedure was used for antigen retrieval (8 min in citrate buffer, pH 6–6.5). Slides were then incubated in 0.3% hydrogen peroxide for 30 min to inhibit endogenous peroxidase activity. After incubation with blocking solution (3% normal goat serum), slides were incubated overnight with goat polyclonal antibody raised against the COOH terminus of orexin A of human origin (identical to corresponding mouse sequence). The antibody was purchased from Santa Cruz Biotechnology (sc-8070). Antibody binding was detected using biotinylated secondary antibodies (Vector Laboratories).

For measurement of orexin A levels as described previously (22), brains from 7-wk-old mice (3 B6-tub/tub and 3 B6-+/+) were collected during the late light period and immediately frozen in liquid nitrogen, then weighed. The tissue samples were boiled in 2 ml of Milli-Q water for 10 min. After a cooling on ice, acetic acid and HCl were added to a final concentration of 1 M and 20 mM, respectively. After homogenization at 40,000 rpm for 1 min (Virtex tissue homogenizer), 2 ml of extraction buffer (1 M acetic acid and 20 mM HCl) were added, and the sample was centrifuged at 5,000 g for 20 min. The supernatant was stored at –80°C. Orexin A levels in the brain extracts were measured using a commercially available ELISA kit (Phoenix Pharmaceuticals, Belmont, CA) according to the manufacturer’s protocol.

Western blot analysis.
Mouse liver was homogenized in 2 ml of RIPA buffer [1% NP-40, 0.25% deoxycholate, 1 mM EDTA, 10 mM Tris·HCl, pH 7.4, 0.15 M NaCl, and 1 tablet of protease inhibitor mix (Roche)]. The homogenate was centrifuged at 15,000 g at 4°C for 30 min. Aliquots of the supernatant were diluted 1:1 with 2x sample buffer (1% SDS, 1% B-mercaptoethanol, 0.001% bromphenol blue in 50 mM Tris·HCl, pH 6.8) and boiled for 8–10 min. Samples (30 µg/well) were subjected to SDS-PAGE using Bio-Rad Mini Ready To Go 12.5% polyacrylamide gels (Bio-Rad). After SDS-PAGE, proteins were electrophoretically transferred to polyvinylidene difluoride (PVDF) membrane (Novex, San Diego, CA) in 25 mM Tris·HCl, 200 mM glycine, 25% (vol/vol) methanol, pH 8.3, at 4°C and 250 V for 30 min. After the transfer, the membranes were incubated for 1 h in Blotto A (1x TBS containing 5% nonfat milk, 0.05% Tween 20) at room temperature. Subsequently, the membranes were incubated overnight at 4°C in Blotto A in the presence of 1:5,000 diluted rabbit anti-human glucose-6-phosphate dehydrogenase (G6PDH) polyclonal antibodies (cross-reactive between human and mouse, no. ab993, Abcam). Antibodies were detected using Amersham’s enhanced chemiluminescence (peroxidase-conjugated secondary antibodies, 1:1,500 dilution) and detected with the use of chemiluminescent reagents (Amersham, Uppsala, Sweden).

Metabolites.
Blood was collected from the orbital sinus via heparinized capillary tubes, and plasma was obtained by centrifugation at 4,000 g for 10 min (4°C). Sampling times were between 1000 and 1100 for nonfed samples, between 1600 and 1700 for light period samples, and between 2000 and 2100 for dark period samples.

Glycogen was extracted from liver using hot potassium hydroxide and ethanol precipitation (10). After acid hydrolysis, glucose levels were determined in the hydrolysate as below.

Plasma glucose and free fatty acid (FFA) levels were determined spectrophotometrically using a colorimetric assay (no. 1383175, Roche Diagnostics) or in a Beckman Coulter Synchron CX5 Delta chemistry analyzer (Beckman Coulter).

ß-Hydroxybutrate levels were determined in duplicate using a spectrophotometric assay (no. 310-A, Sigma).

Pyruvate was extracted from liver using the methanol-chloroform-water (M/C) method (21). The tissue was kept under liquid nitrogen and ground to a fine powder with a mortar and pestle. Ice-cold solvent [reagent-grade methanol and chloroform in a ratio of 2:1 (vol/vol)] was added to the frozen sample (0.3 ml/100 mg tissue) and mixed to form a slurry. After thawing and transfer to centrifuge tubes, the cell/solvent mixture was sonicated. After 15 min in contact with M/C, chloroform and distilled water (dH2O) in a ratio of 1:1 (vol/vol) were added to the samples (0.1 ml/100 mg tissue) to form an emulsion. Samples were centrifuged at 12,000 g for 20 min. The upper phase (methanol and water) was separated from the lower phase (organic) using a glass syringe, and both fractions were dried at room temperature in a vacuum centrifuge. The concentration of pyruvate was measured spectrophotometrically using a commercially available enzymatic reaction kit (no. 10139076035, Roche Diagnostics).

NADPH and NADP were determined as described by Zhang et al. (45). Briefly, ~100 mg of frozen liver tissue were suspended with 1 ml of extraction buffer containing 0.1 M Tris·HCl, pH 8.0, 0.01 M EDTA, and 0.05% (vol/vol) Triton X-100 in a 2 ml Eppendorf centrifuge tube. The tissue was sonicated on ice for 2 min in 30-s intervals. After sonication, the homogenate was centrifuged at 3,000 g for 5 min. The supernatant was collected and immediately analyzed for NADP+ and NADPH. NADP+ and NADPH were assayed spectrophotometrically, based on the measurement of the absorbance of the reduced coenzyme at 340 nm. The total amount of NADPH and NADH in the sample was determined from the absorption at 340 nm (A1). An aliquot of the extract (50 µl) was incubated with G6PDH to convert all of the NADP+ in the sample to NADPH (A2). The reaction mixture contained 0.1 M Tris·HCl, pH 8.0, 0.01 M EDTA and 0.05% (vol/vol) Triton X-100, 0.005 M glucose-6-phosphate, 5.0 IU G6PDH, and 50 µl of extract in a total volume of 1.00 ml. An additional aliquot of the extract was incubated with glutathione reductase (GR) to convert all of the NADPH in the sample to NADP+ (A3). The reaction mixture contained 0.1 M phosphate buffer, pH 7.6, 0.05 mM EDTA, 0.05% (vol/vol) Triton X-100, 0.005 M glutathione (GSSG), 5.0 IU GR, and 50 µl of extract in a total volume of 1.00 ml. The reaction mixtures for G6PDH and GR were preincubated at 37°C and 25°C for 5 min in the absence of enzymes and substrate, respectively. The reaction was started by adding glucose-6-phosphate and glutathione, and the reaction mixtures were incubated at 37°C (G6PDH) and 25°C (GR) for 5 min. The absorbance of the mixture at 340 nm was measured: ANADPH = A1 – A3; ANADP = A2 – A1.

ATP content was determined using luciferase assays (FL-AA) with reagents from Sigma Chemical. All assays were performed in triplicate and included a concurrently run standard curve, according to the manufacturer’s specifications.

Glutathione levels were determined by the dithionitrobezoic acid/GR-recycling method of Tietze (42). For determination of GSSG, the same recycling assay was performed in the presence of 2-vinylpyridine. The concentration of GSH and GSSG in the samples was calculated from a GSH standard curve.

Measurement of liver enzyme activities.
All reagents and enzymes were obtained from Sigma Chemical.

To determine G6PDH activity, liver was homogenized in 9 vol of ice-cold 0.15 M KCl. After centrifugation at 10,000 g for 30 min, the supernatant was used to determine G6PDH activities. Liver G6PDH activity was measured spectrophotometrically at 340 nm, monitoring the reduction of NADP+ in the presence of glucose-6-phosphate (no. 345-UV).

To determine phosphofructokinase (PFK) activity, liver was homogenized in 2 ml of lysis buffer [20 mM Tris-Cl, pH 7.5, 10 mM NaF, 10 mM (NH4)2SO4, 5 mM MgCl2, 2 mM EDTA, 2 mM aminocaproic acid, 10 mM DTT, 0.1 mM fructose-6-phosphate, 0.07 units/ml aprotinin, 0.2 mg/ml PMSF, 0.5% NP-40]. The homogenate was centrifuged at 10,000 g at 4°C for 10 min, and aliquots of the supernatant were used for the determination of PFK activity. PFK activity was assayed at room temperature by adding 5–15 µl of liver extract to 300 µl of reaction mix buffer [100 mM Tris-Cl, pH 8.0, 10 mM KCl, 5 mM MgCl2, 5 mM (NH4)2SO4, 1 mM EDTA, 5 mM DTT, 0.4 mg/ml BSA, 0.14 mg/ml NADH, 2 mM fructose-6-phosphate, 1 mM ATP, 1.5 units/ml aldolase, 5 units/ml triosephosphate isomerase, 1 unit/ml {alpha}-glycerophosphate dehydrogenase] (4). The changes in absorption by NADH were followed at 340 nm. Reaction rates reached maximal values 6–8 min after the initiation and persisted for another 6–8 min, during which time the data were collected.

Glucose-6-phosphatase (G6Pase) activity was measured colorimetrically at a wavelength of 660 nm as described (9). The reaction rate was determined by measuring the increase in phosphate released from 30 mM glucose-6-phosphate during a 15-min reaction time.

Pyruvate dehydrogenase (PDH) activity was determined by the method of Nakai et al. (28). Briefly, ~100 mg of liver were homogenized in an extraction buffer containing 50 mM HEPES (pH 7.4 with KOH), 3% Triton X-100, 2 mM EDTA, 5 mM DTT, 0.5 mM thiamine pyrophosphate, 2 mM dichloroacetate (PDH kinase inhibitor), 2% bovine serum, 0.1 mM N-tosyl-L-phenylalanine chloromethyl ketone, 0.1 mg/ml trypsin inhibitor, and 0.02 mg/ml leupeptin. The homogenate was divided into two portions for assaying actual (active dephosphorylated enzyme in the presence of inactive phosphorylated enzyme) and total (all enzyme in the dephosphorylated active form) activities. For determination of the actual activity, 50 mM potassium fluoride was immediately added, and the homogenate was centrifuged at 12,000 g for 10 min. The supernatant obtained was used for the assay of actual activity. For measurement of total activity, the supernatant without potassium fluoride was centrifuged at 12,000 g for 10 min, and the PDH complex in the supernatant was activated for 20 min at 30°C after addition of phosphoprotein phosphatase and 10 mM MgCl2. The activity was measured radiochemically by the generation of 14CO2 using [1-14C]pyruvate (0.1 mCi, 7.3 mg/ml final concentration) as a substrate over the 20-min incubation time.

Protein determination.
The concentration of protein in homogenates was determined by the method of Lowry et al. (24) using BSA as a standard.

Statistical analysis.
All of the statistical analyses were conducted in JMP (v.6.0; SAS Institute, Cary, NC) and StatView (v.4.5; Abacus Concepts, Berkeley, CA). The analyses of differences between two means of different genotypes in the physiological and expression data were assessed by Student’s t-tests. For all the factorial experiments, two-way ANOVA analyses were performed with genotype (B6-+/+, B6-tub/tub) and condition (dark/light) as factors, to access the significance of the main effects of each factor and of their interactions. Whereas a main effect indicates a difference in means due to a factor averaged over the levels of the other factor in the design, interaction addresses whether the effects of each factor are simply additive.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Tubby mice have an abnormally low respiratory exchange ratio in both fed and nonfed states.
CLAMS is a mouse caging system with integrated instrumentation that allows for 24-h automated data collection on individual mice. Monitored are feeding, drinking, and exploratory, ambulatory, and rearing activity as well as VO2 and VCO2. To test the performance of the system in detecting mutant mice, 7- to 8-wk-old C57BL/6J.Cg-Tubtub/Tubtub (B6-tub/tub) mice and littermate controls were used, because tubby mice are not visibly distinguishable from their normal littermates or from C57BL/6 (B6) control mice at this early age. They also do not differ from controls in body weight until 12–16 wk of age (1). Ten potential tubby mutants (genotype unknown) were placed in CLAMS cages at 7–8 wk of age. Examination of collected data led to the classification of four mice as potential mutants, based primarily on their lower VCO2 and their lower RQ compared with B6 control mice. All the mice were then genotyped, and the four deviants were found to be homozygous for the tub mutation, whereas two other animals were heterozygous and four homozygous wildtype, respectively.

Figure 1 shows that amounts and patterns of activity in a tubby mouse are generally similar to those of the normal B6 mouse (Fig. 1, A and B). VO2 and VCO2 of the B6 mouse parallel activity levels (Fig. 1, A and C) over the same 24-h period. Analysis of VO2 in B6 mice demonstrated that CO2 release is slightly lower than VO2 during periods of relative inactivity (light, 0600–1800) and almost the same as VO2 during periods of higher activity (dark, 1800–0600). This reflects a normal metabolic shift from fat utilization (lower CO2-to-O2 ratio) as the primary fuel source to increased carbohydrate use (higher CO2-to-O2 ratio).


Figure 1
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Fig. 1. Activity and respiration of B6-+/+ and B6-tub/tub mice in the course of a single 24-h period. Representative raw data from a normal C57BL/6J (B6-+/+) mouse are shown for rearing and ambulatory activity (A) and respiratory gases (C). Corresponding data for a tubby mutant (B6-tub/tub) are shown in B and D. Shaded area at bottom indicates the start and end (from left to right) of the 12-h dark period (1800–0600).

 
In tubby mice (Fig. 1, B and D), average VO2 is lower than in B6 mice, most notably during high activity (in the dark period). Shortly after entering the dark period (~1900), VO2 is similar to that in B6. On the other hand, VCO2 is always lower in tubby mice compared with B6 regardless of activity levels (light and dark). Consequently, the RQ in tubby mice is lower than in B6 mice and does not increase after transition to the dark cycle. Figure 2 shows the values for VO2 (Fig. 2A), VCO2 (Fig. 2B), RQ (Fig. 2D), and ambulation (Fig. 2C) for all animals averaged over distinct time periods (such as light or dark period, etc.). Increased activity typically increases RQ values, as is evident in the values plotted for normal mice (e.g., light vs. dark; Fig. 2, C and D). The activity-related shift in RQ values is almost entirely absent in the mutant mice [Fig. 2D; 0.67 ± 0.22 (B6-tub/tub) vs. 0.76 ± 0.02 (B6), P < 0.0001 light period; 0.67 ± 0.02 (B6-tub/tub) vs. 0.83 ± 0.04 (B6), P < 0.0001 dark period].


Figure 2
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Fig. 2. Response patterns for O2 consumption, CO2 production, respiratory quotient (RQ), ambulatory activity, and food intake during specific epochs. A–D: data for O2 consumption (A), CO2 production (B), ambulatory activity (C), and RQ (ratio of CO2 produced to O2 consumed; D) were extracted for specific time periods or epochs. Six epochs that characterize distinct behaviors or physiological states were chosen: Exploratory, mean of all samples recorded during the first 96 min after the first introduction of the animals into the cage (4 samples at 24-min intervals); Daily, the average of all samples recorded during that 24-h period, averaged over 3 consecutive 24-h periods; Light/Dark, the average of the 30 samples recorded during the respective 12-h portions of each 24-h period averaged over 3 days; Before off/After off, mean of all samples recorded during 144 min (6 samples at 24-min intervals) before the lights are turned off and the initial 144 min of the dark period beginning immediately after the lights have gone off, respectively, averaged over 3 days. Values for 4 B6-+/+, 2 B6-+/tub, and 4 B6-tub/tub mutant mice are plotted. Thin vertical bars to the left of the plotted points are centered on the mean B6 value and extend ± 1 SD. E and F: food intake and activity, respectively, for male and female mutant mice and controls during the light and dark periods. An analysis software program was created to compare each parameter during the "explore period" (first 3 measurements after placement in the cage), "postexplore period" (next 3 measurements after placement in the cage), "daily means," 3 measurements before lights are turned off ("BF"), 3 measurements after lights are turned off ("AF"), 3 measurements before lights turn on ("BN"), and 3 measurements after lights have been turned on (12).

 
The body weights of the tested tub/tub mutant mice were not significantly different from that of their littermate controls (males 26.1 ± 0.0 vs. 25.4 ± 1.1 g, P = 0.48; females 21.4 ± 0.6 vs. 21.4 ± 1.2 g, P = 0.92). Averaged over the entire light and dark periods, tubby mice had a tendency toward lower food intake than their littermate controls in the 4% standard diet (Fig. 2E), particularly during the light period, although this difference reached significance only for females during the light period (P < 0.0001). Tubby mice also showed a trend toward lower activity levels (Fig. 2F); again, this reached significance only for females in the light period (P < 0.0003).

Gene expression of key enzymes analyzed by real-time quantitative RT-PCR.
To gain initial insights into the causes for the low RQ in tubby homozygous mice, we examined mRNA levels for key metabolic genes across the light-dark transition. We focused on liver because of its role in carbohydrate metabolism. Real-time kinetic quantitative PCR was used to determine mRNA levels for selected genes in glycolytic, gluconeogenic, lipolytic, and lipogenic pathways that had been reported in the literature to show diurnal rhythms in expression (13, 27, 44), with maximal expression levels between 2200 and 0600 and minimal expression levels between 1400 and 1800. On the basis of these published periods and the activity and feeding patterns obtained from our CLAMS data, we selected 1600–1700 to collect the light-period samples and 2300–2400 for the dark-period samples. The relative expression levels comparing tubby with B6 mice during light and dark periods are presented in Fig. 3.


Figure 3
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Fig. 3. Relative changes in gene expression levels between B6-tub/tub mice and littermate controls during light and dark periods. Expression levels were determined by quantitative real-time PCR assays. mRNA from 3 animals per genotype and time point was assayed. PCR assays were performed in triplicate. A–O: relative changes (fold change) in gene expression levels between B6-tub/tub and littermate controls during light and dark periods. The lowest expression level for each gene was set to equal 1. P: gene expression levels for citric acid cycle enzymes in B6-tub/tub mice relative to B6 controls before and after the onset of the dark phase. GK, glucokinase; PFK, phosphofructokinase; ACS, acetyl-CoA synthetase; CPT1, carnitine palmitoyltransferase-1; FAS, fatty acid synthase; PEPCK, phosphoenolpyruvate carboxykinase; CS, citrate synthase; IDH, isocitrate dehydrogenase; OGDH, ketoglutarate dehydrogenase; SDH, succinate dehydrogenase; SCS, succinyl-CoA synthetase; G6PDH, glucose-6-phosphate dehydrogenase; Agrp, agouti-related protein; Npy, neuropeptide Y. *P < 0.01; **P < 0.001.

 
The majority of the genes studied showed aberrant expression in tubby mice. While mRNA expression levels for representative enzymes that are active in glucose uptake (glucokinase; GK), glycolysis (PFK), gluconeogenesis (phosphoenolpyruvate carboxykinase; PEPCK), and lipogenesis (fatty acid synthase; FAS) were comparable to B6, genes in the lipolytic pathway showed regulation consistent with continued activity through the dark period (Fig. 3, E–K). At the same time, these genes are downregulated in tubby mice during the light period compared with B6. Examples for this mRNA pattern are isocitrate dehydrogenase (IDH; Fig. 3H), acetyl-CoA synthetase (ACS; Fig. 3E), and carnitine palmitoyltransferase-1 (CPT1; Fig. 3F). The genes in the tricarboxycylic acid (TCA) cycle were downregulated during the light period in tubby mice compared with B6 controls, when food intake was slightly lower in tubby mice. During the dark period, where food intake was comparable, the TCA cycle genes showed higher expression in tubby mice than in B6 controls (Fig. 3P).

We analyzed the normalized Ct values for each selected gene using the two-way ANOVA method, including genotype (B6-+/+, B6-tub/tub), condition (dark/light), and their interactions in the model (see Supplemental Materials; the online version of this article contains supplemental data). ANOVA analyses indicated a significant main effect of condition on gene expression level for the genes encoding ACS, agouti-related protein (Agrp), FAS, G6PDH, and PEPCK (P < 0.0001) and for genes GK and IDH (P < 0.005). ANOVA analyses also indicated a significant main effect of genotype on expression level for the genes encoding Agrp, G6PDH, and orexin (P < 0.0001) as well as for ACS and neuropeptide Y (NPY; P < 0.005). The interactions between genotype and condition were significant for ACS, CPT1, and G6PDH (P < 0.0001) and for succinyl-CoA synthetase and succinate dehydrogenase (P < 0.001); thus, in those cases, specific comparisons between tubby and B6 mice under each condition were most informative. Student’s t-tests comparing tubby with B6 mice during light and dark periods separately were carried out for all the selected genes. The t-test results are presented in Fig. 3, where Ct values were converted to fold differences in expression, to illustrate the true changes.

The most dramatic dysregulation in tubby mice was seen for G6PDH. Although G6PDH mRNA showed comparably very low expression in the light period in both mouse strains, it is highly induced in B6 mice after the onset of feeding, whereas it fails to be induced in tubby mice (P < 0.00001; Fig. 3L). This failure to induce G6PDH mRNA leads to a 46% reduction in protein levels, as ascertained by Western analysis, and a concomitant 34% reduction of liver enzyme activity compared with B6 mice (Table 2).


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Table 2. Metabolite levels and activities of liver enzymes in B6-tub/tub and B6-+/+ mice during light and dark periods

 
Liver enzyme activities and metabolites.
In the analysis of liver enzyme activities and metabolite concentrations, two-way ANOVA was performed to access the significance of the main effect factors, genotype (B6-+/+, B6-tub/tub) and condition (dark/light), and of their interactions. The ANOVA analyses revealed a significant main effect of condition to increased activities during the dark period. For the factor genotype, its effect averaged over light and dark periods is significant for the plasma levels of FFA (P < 0.01) and ß-hydroxybutyric acid (ß-HBA) and the enzyme activities of PFK (P < 0.001) and G6PDH (P < 0.0001). The interactions between genotype and condition were significant for G6PDH, PFK, and PDH actual activity (P < 0.01). For all of the metabolite and liver enzymes under investigation, Student’s t-tests were conducted to compare B6 with tubby mice during light and dark periods separately; P values obtained from t-tests are summarized in Table 2 along with means ± SE for each group.

The greater reliance of tubby mice on fat metabolism for energy needs would be expected to be reflected in higher ketone body production. Plasma levels of ß-HBA as a measure for ketone body formation were significantly higher in tubby mice compared with B6 controls (Table 2) during both the light (46 ± 6 vs. 32 ± 2 mg/dl, P < 0.02) and the dark periods (61 ± 4 vs. 33 ± 4 mg/dl, P < 0.008).

Conversely, reduced use of carbohydrate as an energy source would be expected to lead to increased liver glycogen stores in the nonfed state. Tubby mice were found to have higher liver glycogen levels than B6 mice 1 h before the end of the light cycle (25.8 ± 7.0 mg/dl, n = 4, vs. 11.9 ± 0.2 mg/dl, n = 4; P < 0.007).

Tubby mice show abnormal expression of hypothalamic neuropeptides.
Because Tub is not expressed in liver (32) but has prominent expression in the central nervous system, we investigated the expression of key hypothalamic neuropeptides and proteins as possible mediators of the abnormal regulation of liver metabolism in tubby mice. Quantitative real-time PCR analysis showed that NPY (Npy), Agrp (Agrp), and preproorexin (Hcrt) were upregulated between 3- and 64-fold in both the light and the dark periods compared with B6 controls (Fig. 3, M–O). The higher expression levels of Hcrt in tubby mice lead to higher levels of orexin protein in the cell bodies of orexin neurons in the lateral hypothalamus, as determined by immunohistochemistry (Fig. 4). Quantitation by Western analysis showed that orexin protein levels in brain extracts from tubby mice at 1600 were significantly higher than from B6 mice (means ± SE: 178.3 ± 26 ng/g, n = 3, vs. 51.9 ± 1.7 ng/g, n = 3, P < 0.0086; Fig. 4).


Figure 4
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Fig. 4. Orexin A-immunoreactive neurons in the lateral hypothalamic area of B6-+/+ and B6-tub/tub mice (A) and quantitation by enzyme immune assay (B). Orexin A peptide was determined in three 7-wk-old male B6-tub/tub and B6-+/+ mice, respectively. Values are expressed as means ± SE.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
The rate of energy expenditure and fuel utilization can be noninvasively assessed by measuring VO2 and VCO2. The ratio of the two measurements, the RQ, gives an indication of the energy source utilized in an organism. Metabolism of triglycerides is normally associated with an RQ of ~0.70, and an RQ of 1.0 would indicate total reliance on carbohydrates as an energy source, which in normal individuals is only approached during periods of maximal exercise. The RQ values obtained for tubby mice in the CLAMS analysis reported here revealed a previously unknown failure of tubby mice to utilize carbohydrate as an energy source. In tubby mice, the RQ did not increase with the onset of feeding after the start of the dark period. The reliance instead on fatty acid oxidation for energy requirement in young preobese mutant mice seems paradoxical in light of the obesity that subsequently develops. The somewhat lower food consumption compared with controls indicates that, overall, tubby mice utilize the ingested food more efficiently and, despite the burning of fat, are still in positive energy balance and store excess fat in their adipose tissue. Although tubby mice gradually increase their food intake as they age (Nishina PM and Naggert JK, unpublished observation), their food intake surpasses that of control littermates only after the tubby mice weigh significantly more. The increase in food intake in older tubby mice may, therefore, reflect higher energy requirements to maintain the increased body mass (40).

Because the liver is the most oxygen-consuming organ in mammals in the resting state (29) and is thought to play a role in the systemic control of glucose and lipid utilization (20), we focused on gene expression and metabolic measurements in the liver. However, similar patterns of substrate utilization are expected to occur in other tissues as well. If glucose was used as energy source to a significant extent in other tissues, such as in adipose tissue or muscle, then an increase in RQ should have been observed during the light-dark transition.

A large fraction (77%) of the genes whose mRNA levels were measured showed abnormalities in diurnal pattern and/or levels of expression. These abnormalities are already present before the onset of obesity in the tubby mice. Fig. 5 summarizes our findings. Genes in the fatty oxidation pathway are downregulated (relative to B6) during the light cycle, perhaps reflecting the reduced food intake during this period. However, during the dark period, when food intake in tubby mice is similar to that in control mice, CPT1, which controls mitochondrial uptake of fatty acids for ß-oxidation, and ACS, which activates the end product of ß-oxidation, are upregulated in tubby mice. Genes in the TCA cycle through which the acetyl groups are oxidized show a similar pattern of downregulation during the day and upregulation at night. These changes may be expected if, as hypothesized, fatty acid oxidation is the main source of energy during the dark period in tubby mice. It is interesting to note that in Caenorhabditis elegans worm carrying a mutation in the tub-1 gene, ß-oxidation also serves to limit lipid accumulation, since a mutation in the ß-oxidation pathway enzyme 3-ketoacyl-CoA thiolase interacts with the tub-1 mutation to impair ß-oxidation and increase fat storage (26).


Figure 5
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Fig. 5. Schematic representation of metabolic pathways affected in the liver of male B6-tub/tub mice. Measured changes compared with B6-+/+ mice are indicated by wide arrows. Increases or decreases are represented by arrow direction. Light and dark cycles are open and solid arrows, respectively. Predicted changes are marked by narrow arrows.

 
Genes in the glycolytic pathway either show the same pattern of regulation as in B6 mice or, like pyruvate kinase (PK) as well as the rate-limiting enzyme for glycolysis, PDH, are upregulated in the dark period compared with B6. Because the RQ in tubby mice does not rise in the dark period, it appears that glycolysis has to be inhibited posttranslationally in tubby mice because glycogen content is markedly increased. Indeed, the activities of key regulatory enzymes in the glycolytic pathway such as PFK and PDH are lower in tubby mice, during both the light and dark cycles (Table 2).

In addition, it is possible that a higher level of ß-oxidation could lead to increased levels of acetyl-CoA, which would feedback inhibit PDH and thus reduce glycolysis. Increased acetyl-CoA could then be available for de novo synthesis of fatty acids or ketone bodies. As expected, we do find increased levels of plasma ketone bodies in tubby mice, even in the light period. A reduction in glycolysis would also be expected to leave increased levels of glucose for storage. Again we find higher levels of liver glycogen in tubby mice at the end of the light period, when these stores should be largely depleted.

An unexpected finding was the downregulation of G6PDH and the complete lack of G6PDH induction in the dark period. G6PDH is the key regulating enzyme in the pentose phosphate pathway, the main functions of which are to supply reducing equivalents in the form of nicotinamide adenine dinucleotide phosphate (NADPH) for the de novo synthesis of fatty acids and for the maintenance of intracellular reduced glutathione (GSH) concentrations. Perhaps as a consequence of the lack of G6PDH induction in tubby mice, GSH and NADPH levels are lower than those in B6 mice during the dark period. However, the ratio of NADPH to NADP+ is similar in B6 and B6-tub/tub mice. Additional NADPH can be generated by the pentose phosphate pathway itself through conversion of the five-carbon sugar via transaldolase/transketolase reactions to fructose-6-phosphate, which can then reenter the pathway. NADPH can also be generated by alternate routes, for example in the malic enzyme-catalyzed reaction converting malate to pyruvate concomitant with a reduction of NADP+ to NADPH. Lower production of NADPH via the pentose phosphate pathway and lower levels of pyruvate in tubby mice would favor this reaction to provide reducing equivalents for fatty acid synthesis. Another source for NADPH is the cytoplasmic conversion of citrate to ketoglutarate by isocitrate dehydrogenase, which is fed by shuttling citrate out of the mitochondrium in exchange for malate and ketoglutarate into the mitochondrium by transporting malate out again. Isocitrate dehydrogenase as a source for NADPH has previously been shown to be important for fatty acid synthesis (18).

Because up to 30% of liver glucose oxidation may occur via the pentose phosphate pathway (23, 43), the failure to induce G6PDH in tubby mice contributes to their lower glucose utilization and RQ. Whether the lack of G6PDH induction is a direct effect of the tub mutation, a property of the genetic background, or secondary to the altered metabolic and hormonal environment in tubby mice is currently not known. Direct involvement of the TUB protein is, however, unlikely because of the very low expression of tub in liver. G6PDH is primarily regulated posttranscriptionally; i.e., after a stimulus, mature mRNA is recruited to the cytoplasm after processing of a nuclear pre-mRNA pool (15, 36). Insulin, glucose, and thyroid hormone induce mature G6PDH mRNA (36), but the components of the signal transduction pathway are not known. It is thought that the stimulatory effect of glucose (and fructose) is mediated by a glycolytic intermediate, and insulin may act through stimulation of glycolysis (5). Reduced flux through the glycolytic pathway in tubby mice could, therefore, contribute to lower G6PDH levels.

The profound changes in liver metabolism in tubby mice are presumably the result of defects in central regulation, since tub is expressed primarily in the central and peripheral nervous system and only at very low levels in the liver (32). However, the liver is innervated by both the sympathetic and parasympathetic nervous system. Transneuronal tracings show that neuronal populations in the lateral hypothalamic area, the ventromedial hypothalamic nucleus, and the suprachiasmatic nucleus are retrogradely labeled (19). It is also well known that sympathetic activity is correlated with fatty acid oxidation in peripheral tissues (38, 39). In the search for potential central causes of the observed abnormalities in liver metabolism, we examined the expression of key neuropeptides and their receptors in the hypothalamus. The most notable difference between B6-tub/tub and B6 mice was an ~60-fold upregulation of preproorexin mRNA. This upregulation was also reflected in increased orexin A protein levels.

It has been shown previously that intracerebroventricular injection of orexin A can lead to an increase in metabolic rate and a decrease in RQ, depending on the metabolic state of the animal (25). Similarly, electrical stimulation of the ventromedial hypothalamic nucleus (VMH) leads to increased basal metabolism and reduced RQ (35). It may be important in this context that the orexin neurons of the lateral area of the hypothalamus project to the VMH, which in turn projects to the autonomic regions of the paraventricular nucleus, thus providing a path for autonomic signals to the liver (19). This suggests the hypothesis that the increase in orexin A in tubby mice is causative of the abnormal liver metabolism via the autonomic nervous system. It also appears from this work that the mutation in the tub gene primarily affects pathways leading to increased fat deposition while leaving mechanisms resisting weight gain, such as increased lipid oxidation, intact. Tubby mice may, therefore, be a useful model system to further study the central regulation of energy metabolism.


    GRANTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
This work was supported by National Institute of Diabetes and Digestive and Kidney Diseases Grant DK-59641 (J. K. Naggert) and American Heart Association Postdoctoral Fellowship Award 0325689T (Y. Wang). Institutional shared services were supported by National Cancer Institute Cancer Center Grant CA-34196.


    FOOTNOTES
 
Article published online before print. See web site for date of publication (http://physiolgenomics.physiology.org).

Address for reprint requests and other correspondence: Jürgen K. Naggert, The Jackson Laboratory, 600 Main St., Bar Harbor, ME 04609 (e-mail: juergen.naggert{at}jax.org).


    REFERENCES
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 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 

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