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Am J Physiol Regul Integr Comp Physiol 295: R1077-R1088, 2008. First published August 6, 2008; doi:10.1152/ajpregu.90476.2008
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ENDOCRINE PHYSIOLOGY AND METABOLISM

Altered dietary carbohydrates significantly affect gene expression of the major glucosensing components in Brockmann bodies and hypothalamus of rainbow trout

Sergio Polakof,1 Stéphane Panserat,2 Elisabeth Plagnes-Juan,2 and José L. Soengas1

1Laboratorio de Fisioloxía Animal, Departamento de Bioloxía Funcional e Ciencias da Saúde, Facultade de Bioloxía, Universidade de Vigo, Vigo, Spain; and 2Institut National de la Recherche Agronomique, Unité Mixte de Recherche 1067 Nutrition Aquaculture and Genomique, Pôle d'Hydrobiologie, CD918, St.-Pée-sur-Nivelle, France

Submitted 5 June 2008 ; accepted in final form 4 August 2008


   ABSTRACT
TOP
 ABSTRACT
MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Carnivorous fish have a limited capacity to utilize dietary carbohydrates even though glucosensing components exist in the hypothalamus and Brockmann bodies. Therefore, we fed trout for 10 days with two experimental diets containing a high level of carbohydrates (20%) or a carbohydrate-free level (<0.3%) to test the capacity of dietary carbohydrates to regulate gene expression of glucosensing components. Fish were fed and killed 1, 6, and 24 h after the meal to analyze plasma glucose levels, glucosensing-related biochemical parameters, and gene expression of the major components of the glucosensing system in the hypothalamus and Brockmann bodies. Glucose facilitative transporter type 2 and glucokinase gene expression were confirmed by real-time PCR data and two new components of the glucosensing mechanism, Kir6.-like and sulfonylurea receptor-like, were detected for the first time in fish in both tissues. In addition, a clear adaptation to dietary carbohydrates was found in trout Brockmann bodies, based on increased gene expression of major components of the system as well as enhanced glucokinase activities and glycogen levels. In contrast, in the hypothalamus, only glucokinase gene expression and activity showed a response to dietary carbohydrates, supporting the key role of that enzyme in glucosensing mechanism. Finally, a differential postprandial profile was found between tissues regarding the glucosensing potential, since the hypothalamus seems to respond to hyperglycemia earlier than the Brockmann bodies, whose response took place later. Altogether, these data describe for the first time in fish a complete response of major glucosensing components to dietary carbohydrates in trout hypothalamus and Brockmann bodies, supporting an efficient adaptation of both tissues to those dietary components.

dietary carbohydrates; GK; KATP; GLUT; rainbow trout

IN FISH, THE CARNIVOROUS SPECIES (whose natural diet is based on insects and small fish) are recognized for their limited capacity to utilize dietary carbohydrates for energy purposes (55). In this sense, carnivorous fish require high protein (amino acids) for protein synthesis and energy purposes (41). However, because protein is one of the most expensive components of diets and its excess increases N excretion in the aquatic environment, it is advisable for sustainable aquaculture to spare protein by increasing the utilization of conventional and cheaper energy sources like carbohydrates (12). Nevertheless, most teleosts do not tolerate high dietary carbohydrate levels, and the maximum dietary inclusion level depends on the fish species (55). This inability is characterized by prolonged postprandial hyperglycemia after a carbohydrate-rich diet intake or oral glucose administration (24, 55) and even impaired growth (10). Even though the basis for this apparent glucose intolerance remains poorly understood, several hypotheses have been proposed (24), including an unbalance between hepatic glucose phosphorylation and glucose-6-phosphate hydrolysis, the weak capacity of glucose to act as insulin secretagogue compared with amino acids, relatively low numbers of muscle glucose transporters, and/or insulin receptors, and low glucose phosphorylation capacity in muscle.

However, other evidences obtained in fish suggest that plasma glucose levels would be under certain controls, including 1) plasma glucose levels are reported to fluctuate after feeding (32); 2) certain organs, like the brain, rely on glucose as a primary fuel (46); and 3) glucose use in the bullrout brain increased under hypoglycemic conditions (17). In this sense, in fishes like rainbow trout, a system similar to that proposed in mammals (16) involved in the detection of changes in circulating glucose levels seems to be functional (33). In mammals, the glucosensing system has been described in pancreatic β-cells (42) and glucose-excited neurons of the hypothalamus and brain stem (16). In these tissues, after a rise in glycemia, glucose is transported across the cell membrane through a glucose facilitative transporter type 2 (GLUT2) carrier and metabolized by glucokinase (GK) to glucose-6-phosphate that enters in glycolysis and the Krebs cycle. The metabolism of glucose results in increases in cellular ATP that lead to closure of ATP-sensitive inward rectified K+ channels [KATP; comprising Kir6.x subunits and sulfonylurea receptor type-1 (SUR1) receptors], leading to membrane depolarization, Ca2+ influx, and insulin release or increased firing rate, respectively (42). Moreover, in mammals, increases of fatty acid synthase (FAS) gene expression have also been related to the adaptation process of β-cells to hyperglycemia (38), whereas FAS mRNA is upregulated in hypothalamic neurons in response to glucose (14).

Using rainbow trout as a model of a carnivorous species, we have demonstrated in previous studies that several tissues act as glucosensors in fishes, responding to increases or decreases in glucose levels either in vivo (33, 35) or in vitro (34) with concomitant changes in GK activity and/or expression, glycolytic potential, and levels of glucose and glycogen in a way similar to the metabolic responses occurring in mammalian glucosensor systems (16). The tissues involved in this response include brain regions such as the hypothalamus and hindbrain as well as the Brockmann bodies (BB, a distinct grouping of pancreatic endocrine cells near to the gall bladder; Ref. 56).

Data available on gene regulation of glucosensing components by dietary carbohydrates in rainbow trout are restricted to long-term expression of GK and GLUT2 measured in days not hours after the feeding treatment and using low sensitive standard PCR approaches (35). Moreover, no information is available regarding other components of the glucosensing mechanism known in mammals, such as Kir or SUR proteins for which pharmacological evidence of their existence was obtained by us in previous studies (34). Therefore, considering the presence of glucosensor areas in both fish hypothalamus and BB (33) and the capacity of dietary carbohydrate to elicit changes in the glucosensor system during long-term approaches (35), the aim of this study using rainbow trout fed with carbohydrate-free or carbohydrate-enriched diets was as follows: 1) to determine if other components of the glucosensing machinery (Kir and SUR) are present in two typical glucosensing tissues like the hypothalamus and BB; 2) to determinate if the presence and/or absence of dietary carbohydrates can regulate gene expression (using real-time RT-PCR data) of the major actors of the glucosensing system (GLUT2, GK, Kir, and SUR) and can also affect the biochemical response of key glucosensing-related parameters; and 3) to characterize the postprandial kinetic profile (1, 6, and 24 h after the last meal) of gene expression and biochemical parameters related to the glucosensing function in trout fed with a carbohydrate-enriched diet.


   MATERIALS AND METHODS
TOP
 ABSTRACT
 MATERIALS AND METHODS
RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Fish and diets. Rainbow trout (Oncorhynchus mykiss Walbaum) were obtained from a local fish hatchery (Soutorredondo, Spain). Fish were maintained for 1 mo in 100-liter tanks under laboratory conditions and a natural photoperiod in dechlorinated tap water at 16°C. Fish mass was 113 ± 6 g. Fish were fed specifically daily during the whole acclimation period with commercial dry fish pellets (Dibaq-Diproteg, Segovia, Spain; proximate food analysis was 48% crude protein, 6% carbohydrates, 25% crude fat, and 11.5%) to satiety. Then, fish were distributed in six tanks (14 fish per tank) and were fed similar amounts of food (~2% body wt) once at day, as in the acclimation period, during 10 days with two formulated dry diets: a high-carbohydrate (HC) diet and a carbohydrate-free (CF) diet (Table 1). Crude protein analysis (as Nx6.25) was measured by nitrogen determination (mass spectrometer VG Autospec M) and starch levels following Thivend et al. (48). On the day of sampling, fish were fed, and then 14 fish (n = 8 to assess enzyme activities and metabolites levels and n = 6 to assess gene expression) from each experimental group were anesthetized with MS-222 (50 mg/l buffered to pH 7.4 with sodium bicarbonate), weighed, and killed 1, 6, and 24 h after the meal. Blood was sampled from the caudal vein into ammonium-heparinized syringes, centrifuged (5,000 g), and analyzed enzymatically for plasma glucose concentration using a commercial kit (Biomérieux) adapted to a microplate format. The liver, hypothalamus, and BB were removed, freeze-clamped in liquid nitrogen, and stored at –80°C until assayed. The experiments described comply with the Guidelines of the European Union Council (86/609/EU) and of the Spanish Government (RD 1201/2005) for the use of animals in research and were approved by the Ethics Committee of the University of Vigo (Spain).


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  		Table 1. Composition and proximate analyses of the two experimental diets

 
Assessment of GK activity and glycogen levels. Frozen tissues were quickly minced on a chilled Petri dish to very small pieces that (still frozen) were divided into two homogeneous portions to assess GK activity and glycogen levels. The tissue portions used to assess glycogen levels were homogenized immediately by ultrasonic disruption in 7.5 vol of ice-cooled 6% PCA and neutralized (using 1 mol/l potassium bicarbonate). The homogenate was centrifuged, and the supernatant was used to assay tissue glycogen levels using the method of Keppler and Decker (13). Glucose obtained after glycogen breakdown (after free glucose levels were subtracted) was determined with a commercial kit (Biomérieux). GK activities (expressed per mg of protein) were monitored in a microplate reader SPECTRAFluor (Tecan, Grödig, Austria) by changes in the concentrations of β-NADP+ and involved the use of a coupling enzyme added in excess (15). Protein was assayed in triplicate in homogenates using microplates according to the bicinchoninic acid method (45) with BSA (Sigma, St. Louis, MO) as a standard. One unit of the enzyme activity was defined as the amount of enzyme that catalyzed the hydrolysis of 1 µmol of substrate under the specified conditions (37°C).

Total RNA extraction and processing and gene expression levels by real-time PCR. Total RNA was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA), and gene mRNA levels were determined by RT-PCR. RNA quantity and quality were determined by capillary electrophoresis using the Lab-on-a-Chip technique (Agilent 2100 Bioanalyzer, Agilent Technologies, Waldbronn, Germany) in accordance with the manufacturer's instructions on the RNA 6000 Nano Labchip. Only samples with 28S-to-18S rRNA ratios >1.7 were accepted. cDNA was generated from 1 µg RNA (liver and BB) and 500 ng (hypothalamus) using SuperScript III RNase H-reverse transcription system (Invitrogen). Real-time PCR was performed in the MyiQ cycler (Bio-Rad, Hercules, CA). Quantitative (q) PCR analyses were performed on 10 µl of the diluted RT reaction mixture (dilution 1/40 for all genes, treatments, and sampling times) using the iQ SYBR Green Supermix (Bio-Rad). The total volume of the PCR reaction was 25 µl, containing 100 nM of each primer (Table 2). Primers were designed so that they are overlapping an intron (Primer3 software; Whitehead Institute for Biomedical Research/MIT Center, Cambridge, MA) using known sequences in nucleotide databases [Genbank: http://www.genome.ad.jp/htbin/www_bfind?dnatoday; and National Institute of Agronomic Research (INRA)-Sigenae: http://ensembl-sigenae.jouy.inra.fr/]. Accession numbers for rainbow trout genes were as follows: gb AF053331 -Genbank (gk); gb AF321816 -Genbank (GLUT2); tcaa0001c.m.06_5.1.om.4-Sigenae (fas); and tcce0019d.e.20_3.1.s.om.8-Sigenae (sur-like; which was highly similar to SUR amino acid sequence from Rattus norvegicus, P = 10–143) and CA346261.1.s.om.8 dna: contig:CA346261.1.s.om.8:1:773:1-Sigenae (Kir6.-like; which was highly similar to Kir amino acid sequence from Rattus norvegicus, P = 10–66) for the first time in this species. The qPCR amplified products were checked for specificity by sequencing.


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  		Table 2. Nucleotide sequences of the PCR primers used to assay gene expression by RT-PCR

 
Relative quantification of the target gene transcript was done using β-actin gene expression as a reference. Thermal cycling was initiated with the incubation at 95°C for 90 s for hot-start iTaq DNA polymerase activation and continued with a two-step amplification program (20 s at 95°C followed by 30 s at specific primer hybridization temperature; see Table 2 for details) repeated 35 times. After the final cycle of the PCR, melting curves were systematically monitored (55°C temperature gradient at 0.5°C/s from 55 to 94°C) to ensure that only one fragment was amplified. Samples without reverse transcriptase and samples without RNAs were run for each reaction as negative controls. Each sample was analyzed four times, since two retrotranscription replicates and two amplification replicates were performed. All the replicates of each sample were located in the same plate for each gene to allow comparisons. The plate setup was as follows: from Figs. 2 to 4 for each gene, we utilized three plates, each one containing the samples from both diet group (CF and HC) at each hour (1, 6, and 24 h). For Fig. 5, the plate setup was one plate for each gene, with all the sampling times in the same plate. We included in all the plates the standard curve (by triplicate) and blanks for DNA, PCR, and retrotranscription (by duplicate). Only efficiency values between 85–100% were accepted, and the R2 for all the genes assessed was always >0.985.


Figure 2
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  		Fig. 2. Glucose facilitative transporter type 2 (GLUT2), glucokinase (GK), sulfonylurea receptor (SUR)-like, Kir6.-like, and fatty acid synthetase (FAS) gene expression in hypothalamus of rainbow trout fed with or without carbohydrates during 10 days. Differences in mRNA expression between fish fed with the 2 experimental diets (CF and HC) were analyzed 1 (A), 6 (B), and 24 h (C) after the last meal and presented as fold induction. Expression results were normalized to β-actin expression, which did not change with treatment. Values are means ± SE; n = 6. *Significantly different from CF diet (P < 0.05).

 

Figure 4
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  		Fig. 4. GLUT2, GK, and FAS gene expression liver of rainbow trout fed with or without carbohydrates during 10 days. Differences in mRNA expression between fish fed with the two experimental diets (CF and HC) were analyzed 1 (A), 6 (B), and 24 h (C) after the last meal and presented as fold induction. Expression results were normalized to β-actin expression, which did not change with treatment. Values are means ± SE; n = 6. *Significantly different from CF and HP diets (P < 0.05).

 

Figure 5
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  		Fig. 5. GLUT2 (A), GK (B), Kir6.-like (C), SUR-like (D), and FAS (E) gene expression in liver, hypothalamus and Brockmann bodies of rainbow trout fed with carbohydrates during 10 days and sampled 1, 6, and 24 h after the last meal. Differences in mRNA expression between times within the HC diet are presented as fold induction. Expression results were normalized to β-actin expression, which did not change with treatment. Values are means ± SE; n = 6. Different letters indicate significant differences (P < 0.05) among times within the HC treatment. Both SUR-like and Kir6.-like were not determinated in liver.

 
Relative quantification of target gene expression was performed using the mathematical model described by Pfaffl (30). The relative expression ratio (R) of a target gene was calculated on the basis of real-time PCR efficiency (E) and the threshold cycle (CT) deviation ({Delta}CT) of the unknown sample vs. a control sample and expressed compared with the β-actin reference gene. β-Actin gene expression did not show significant differences among samples, treatments, or sampling times.

Formula

PCR efficiency (E) was measured by the slope of a standard curve using serial dilution of cDNA.

Statistics. Data are means ± SE. Comparisons among groups and times for biochemical parameters were performed using a two-way ANOVA (SigmaStat; SPSS, Chicago, IL) with diet (HC and CF) and time (1, 6, and 24 h) as independent variables. Post hoc comparisons were made using a Student-Newman-Keuls test, and differences were considered statistically significant at P < 0.05. Comparisons among diets groups (HC and CF) for gene expression were performed using a Student's t-test (P < 0.05), whereas comparisons among times within the HC group were made using a one-way ANOVA.


   RESULTS
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 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
DISCUSSION
 GRANTS
 REFERENCES
 
Glycemia. After the animals were fed 10 days with the CF diet, plasma glycemia (Fig. 1) did not show any significant modification of the postprandial profile. In contrast, the postprandial glycemia kinetics in the HC fish displayed a significant maximum level at 6 h postfeeding (P < 0.05), recovering the same level than 1 h after feeding 24 h later. Moreover, as expected, the levels of plasma glucose in fish fed HC diet were always significantly higher than in trout fed with the CF diet (P < 0.05).


Figure 1
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  		Fig. 1. Glucose levels in plasma of rainbow trout fed with or without carbohydrates during 10 days and sampled 1, 6, and 24 h after the last meal. Values are means ± SE; n = 14. *Significantly different from carbohydrate-free (CF) diet (P < 0.05). Different letters indicate significant differences (P < 0.05) among times within each treatment [CF and high-carbohydrate (HC) diet].

 
Effects of high levels vs. low levels of dietary carbohydrates on gene expression. The effects on GK, GLUT2, Kir6.-like, SUR-like, and FAS gene expression of HC or CF dietary intake in the hypothalamus are shown in Fig. 2. GK gene expression was twofold higher in fish fed with the HC diet than in those fed with the CF diet whatever was the postprandial timing (1, 6, and 24 h). In contrast, lower GLUT2 gene expression was found in trout fed with the HC diet than in those fed with the CF diet only 6 h postfeeding. No other changes were noticed whatever genes or times were assessed.

GK, GLUT2, Kir6.-like, SUR-like, and FAS gene expression in BB of trout fed with a HC or CF diet is displayed in Fig. 3. Higher gene expression was observed in trout fed with the HC diet than in those fed with the CF diet 1 h postfeeding for all the genes assessed except for Kir6.-like (Fig. 3A). In contrast, at 6 h postfeeding (Fig. 3B), all the genes studied were differentially expressed between the dietary treatments. At 24 h postfeeding (Fig. 3C), only Kir6.-like and SUR-like showed higher levels of expression in fish fed with the HC diet than in fish fed with the CF diet.


Figure 3
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  		Fig. 3. GLUT2, GK, SUR-like, Kir6.-like, and FAS gene expression in Brockmann bodies of rainbow trout fed with or without carbohydrates during 10 days. Differences in mRNA expression between fish fed with the 2 experimental diets (CF and HC) were analyzed 1 (A), 6 (B), and 24 h (C) after the last meal and presented as fold induction. Expression results were normalized to β-actin expression, which did not change with treatment. Values are means ± SE; n = 6. *Significantly different from CF diet (P < 0.05).

 
Liver was studied as well-known internal control of dietary carbohydrate intake on parameters assessed. Liver GLUT2, GK, and FAS gene is are shown in Fig. 4. GK and FAS gene expression is clearly higher in trout fed with the HC diet than in fish fed with the CF diet at all the times assessed, even showing a 200-fold induction for GK (6 h postfeeding) and 6-fold for FAS (24 h postfeeding). In contrast, no significant differences were noticed in GLUT2 gene expression whatever the postprandial timings were.

Postprandial kinetics of gene expression after HC intake. GLUT2 gene expression (Fig. 5A) did not show any changes in liver. However, in BB the GLUT2 gene expression was lower at 24 h than at 6 h and in the hypothalamus it was lower at 6 and 24 h compared with 1 h. GK gene expression (Fig. 5B) showed a postprandial increase in liver, with maximum values 6 and 24 h postfeeding (6-fold induction). In contrast, no postprandial changes were found in either BB or the hypothalamus. In BB, we found a maximum of gene expression 6 h postfeeding. FAS gene expression (Fig. 5E) in both liver and BB displayed a postprandial increase, with maximum levels of expression at 6 and 24 h. However, in the hypothalamus, the opposite situation was found, with minimum levels of FAS gene expression 24 h postfeeding. A peak of Kir6.-like (Fig. 5C) gene expression was observed 6 h postfeeding in BB. In the hypothalamus, in contrast, we found a minimum of expression 24 h after feeding. SUR-like gene expression (Fig. 5D) did not show postprandial significant differences in the hypothalamus.

Metabolic markers of carbohydrate intake: GK activities and glycogen levels. GK activities (Fig. 6) in fish fed with the CF diet only showed a significant decrease in BB 24 h postfeeding. In contrast, in fish fed with the HC diet a postprandial increase in GK activity was observed in both liver and BB, with a trend to return to basal levels in the last one (24 h postfeeding). In contrast to those profiles, in the hypothalamus of trout fed with the HC diet, the maximum GK activity was found 1 h postfeeding and then decreased significantly from this time up to 24 h.


Figure 6
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  		Fig. 6. GK activities and glycogen levels of rainbow trout fed with or without carbohydrates during 10 days and sampled 1, 6, and 24 h after the last meal. Values are means ± SE; n = 8. *Significantly different from CF and HC diets (P < 0.05). Different letters indicate significant differences (P < 0.05) among times within each treatment (CF and HC).

 
No significant differences were found in glycogen levels in fish fed with the CF diet (Fig. 6) either with time or diets, except in BB where levels were lower at 24 h than at 1 and 6 h. In contrast to fish fed with CF diet, trout fed with the HC diet present higher glycogen levels, increasing progressively from 1 h after feeding to 24 h in the three tissues assessed. This profile was specially marked in BB, where glycogen levels 6 h after feeding were twofold higher than 1 h after the last meal.


   DISCUSSION
TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
GRANTS
 REFERENCES
 
Validation of experimental design. In the present study, plasma glucose levels in fish fed for 10 days with a HC diet were clearly higher than in those fed with a CF diet in agreement with similar studies with rainbow trout (4, 35) and other carnivorous species (3). In addition, the postprandial profile found in fish fed with the HC diet resembles that reported in carnivorous fishes subjected to similar experimental conditions (4, 26), reflecting the slow plasma glucose clearance in these animals (24) and supporting the experimental design. On the other hand, the absence of changes among sampling times in trout fed with the CF diet is similar to that previously addressed in fish fed with similar diets (3, 27).

To further validate the experimental design, we also examined some key parameters in liver glucose metabolism known to change under different carbohydrate dietary conditions. Therefore, we found in liver some results reflecting the storage process of glucose in response to the high proportion of dietary carbohydrates in agreement with data in literature, including the following: 1) higher GK activities and expression and glycogen levels in fishes fed with the HC diet (at all times assessed), with up to 7.5-, 200-, and 30-fold increases, respectively (35, 47); 2) no transcriptional regulation of GLUT2 gene expression by dietary carbohydrates (28); and 3) a postprandial profile characterized by an increase in GK activity and expression and glycogen levels after a HC diet intake (4, 27). On the other hand, in mammals, transcriptional regulation is the major site that regulates the changes in FAS gene expression caused by a HC diet (29). In the present study, we have demonstrated in fish that, as occurs in mammals (51), hepatic FAS gene expression is markedly upregulated by dietary carbohydrates, supporting the classical hepatic profile in response to dietary carbohydrate intake presented above. This is in agreement with our findings such as the fact that FAS activity is enhanced by dietary carbohydrates (47) and FAS expression is stimulated by glucose in vitro in presence of insulin (31). However, the HC diet contains also more lipids than the CF diet and because of that we cannot exclude the possibility that the changes in FAS gene expression may be due to both carbohydrates and lipids present in the diet.

Since carbohydrates were mainly replaced by protein in the CF diet, CF fish ingested more protein, and we admit that our experimental conditions do not allow us to distinguish between the potential effects of protein decrease and/or carbohydrate increase. However, in the present study, the diets differ in carbohydrate by ~2,000% and in protein by only 25%; hence, the change in carbohydrate levels is about two orders of magnitude greater than that of protein and therefore the changes could be mainly attributed to variations in carbohydrate rather than in protein contents. In addition, we consider that in our design the major change that is taking place is between the presence (20%) and absence (<0.3%) of glucose in the diet. Because of that trout were fed with diets containing a high amount of carbohydrates or not at all, but, inversely, we did not feed trout without protein. As further validation, our targets are all (primarily but not exclusively) sensitive to glucose and not to protein. On the other hand, and due the composition of the diets, we cannot exclude the possibility that the energy and/or lipid contents are playing a role as variables in the system. However, studies about energy and/or lipids influence over the glucosensing system in mammals are not available, even when the glucosensing system is a nutrient sensor that could be regulated by the energy intake.

Effects of dietary carbohydrates on major components of the glucosensing mechanism in BB. Glucose uptake is the initial step in the glucose-stimulated insulin secretion by pancreatic β-cells, and in rodents GLUT2 is the only glucose transporter normally detected in these cells (49). Even though GLUT2 expression was previously detected in piscine BB (33, 35), those data came from low sensitive standard PCR approaches for semiquantitative analysis of gene expression. Thus, with the data obtained from qPCR, we observed changes in GLUT2 expression that paralleled those of plasma glucose levels, being twofold induced by dietary carbohydrates in fish fed with the HC diet during the first 6 h postfeeding compared with those fed with the CF diet, without differences among them 24 h after the last meal. This stimulation of GLUT2 expression by dietary carbohydrates was also previously reported in rainbow trout feeding with similar diets during a shorter period of time and sampled 6 h postfeeding (35) and also in glucose-injected fish (33). In addition, in mammals glucose is the major regulator of GLUT2 gene expression in β-cells (50) and since GLUT2 is not expressed in mammalian {alpha}-cells (9), our data suggest that in the piscine β-cells GLUT2 expression is, as occurs mammals (54), stimulated directly by glucose. This situation is in contrast with the transcriptional regulation observed in rainbow trout liver, where GLUT2 seems to be expressed at the same relative level irrespective of nutritional status, allowing glucose entry into hepatocytes in the postprandial state and its release during fasting (28). In mammals, decreased expression (53) of this transporter or its absence (7) occurs simultaneously with the loss of glucose-stimulated insulin secretion in numerous animal models of type 2 diabetes and, in this sense, the increase in trout GLUT2 gene expression may support a positive adaptive response of glucose transport when glycemia rises. In addition, we found that the time necessary to achieve a significant induction by glucose of GLUT2 gene expression in the piscine BB seems to be similar to that necessary in mammals (6). Accordingly, these data support the idea of an efficient adaptation to dietary carbohydrates of GLUT2 gene expression in rainbow trout BB, refusing this step of the system as responsible for the low capacity of glucose as insulin secretagogue.

The GK enzyme has been identified as a glucose sensor in pancreatic β-cells, since it has thermodynamic, kinetic, regulatory, and molecular genetic characteristics that are ideal for its function (21). Glucose is the preeminent positive regulator of β-cell GK expression in mammals and involves molecular mechanisms that are still to be elucidated in detail (21). In the present study, GK gene expression showed higher levels in fish fed with the HC diet than in those fed with the CF diet at least until 6 h postfeeding, similarly to the changes in glycemia and GLUT2 gene expression. In previous studies in rainbow trout, we also found enhanced GK gene expression in fish fed with a HC diet (up to 2.2-fold at 6 h after feeding) in agreement with the high glucose levels observed in those animals (35) and with results in mammals (50). In previous studies in rainbow trout fed with similar diets and where sampling points were carried out during several days (35), we found that GK activity in BB closely followed plasma glucose levels and changes in GK gene expression, reinforcing that in fish, as in mammals (50), the regulation of GK mRNA levels in pancreatic β-cells can significantly contribute to the regulation of GK enzyme activity and glucose phosphorylation. In this sense, the very low activities of GK in piscine BB (33, 52; this study) agree with the two alternative GK gene promoters in mammals (18), which keeps enzyme expression levels much lower in pancreatic β-cells than in liver parenchymal cells, making GK activity in β-cells the rate-limiting step for further glucose metabolism (22). In addition, when we compared fish fed diets with or without carbohydrates 6 h postfeeding (maximum induction), we found that the response observed in GK activity (4.5-fold higher in fish fed with the HC diet) was stronger than that noted in GK gene expression (2.2-fold) in accordance with the predominant posttranscriptional regulation of this enzyme in mammals (5). In the adaptational process of the β-cell to hyperglycemia, the relatively high level of glycogen deposition is another characteristic change in mammalian β-cell (37), since glucose-6-phosphate produced by GK, but not hexokinase I, promotes the activation of glycogen synthase (43). In the present study, glycogen levels parallel changes in both glycemia and GK activity/expression in accordance with previous studies where fish were subjected to hyperglycemia (33, 35). Altogether, these data support the presence of the major key components of the glucosensing system in rainbow trout BB, as was suggested previously (33, 35). In addition, we found an unambiguous metabolic and molecular adaptation to dietary carbohydrates in BB of a carnivorous fish like rainbow trout, suggesting the presence of a functional glucosensing system in this species, which may potentially generate the appropriate signal for insulin secretion.

The KATP channel is a key component linking glucose metabolism to insulin secretion in mammalian β-cells, since the effective glucose-dependent insulin secretion requires the controlled production of KATP channels. This is the first study, as far as we are aware, in which both Kir6.-like and SUR-like gene expression was assessed in piscine BB, and although a formal proof will await the cloning of the full-length cDNA sequence, the high similarity between the cDNA sequences of pancreatic Kir6.-like and SUR-like in rainbow trout and the Kir6.1, Kir6.2, SUR1, SUR2A, and SUR2B sequences previously characterized in mammals (up to 75, 78, 73, 75, and 75% similarity, respectively) strongly suggests that these sequences correspond to the functional components of the KATP channel in fish. In the present study, globally we found both Kir6.-like and SUR-like gene expression increased in fish fed with the HC diet in contrast to those fed with the CF diet. Since in mammals SUR1 mRNA levels parallel the changes in Kir6.2 mRNA levels, allowing a coordinated expression of both genes in β-cells and the formation of a functional entity by the assembly of both subunits with a stoichiometry of 1:1 (25), our data suggest that dietary carbohydrates upregulate KATP channel gene expression in BB of rainbow trout. In contrast, in mammalian islet cells preexposed to high glucose levels, both reduced expression of KATP channel subunits and reduced KATP channel current amplitude occurred (25), whereas in response to glucose deprivation, channel synthesis increases rapidly by upregulating translation of existing mRNAs (44), showing a transcriptional and translational response to maintain a sustained response in insulin secretion. This striking difference with the mammalian model may provide a possible explanation for the well-known poor capacity of glucose to stimulate insulin secretion in salmonids species (23). Since in the present study dietary carbohydrates stimulated KATP channel gene expression instead of inhibiting it, as occurs in mammals, and in rainbow trout HC diets were unable to reach higher insulinemia than that found in trout fed without carbohydrates (4, 26), we can hypothesize that this disarrangement in the glucosensing machinery may contribute to the impaired insulin secretion in trout subjected to HC feeding. Further studies are needed to validate this important hypothesis.

In mammals, postglycolytic events, in particular, anaplerosis and lipid signaling are thought to be implicated in β-cell activation by glucose (38). In this sense, lipid metabolism plays a role in the process whereby hyperglycemia modifies insulin secretion, and it has been reported that exposure of β-cells to elevated glucose concentration during several days induces FAS gene expression, as occurred in the present study. These results may indicate that, as occurs in mammals (38), a coordinated induction of glycolytic and lipogenic genes in conjunction with glycogen deposition contributes to the adaptive process to hyperglycemia and glucose sensitization of the β-cell, supporting the efficient metabolic and molecular adaptation to dietary carbohydrates in rainbow trout BB suggested above.

Effects of dietary carbohydrates on major components of the glucosensing mechanism in the hypothalamus. Glucose detection and signaling in hypothalamic areas in mammals requires glucose uptake by GLUT2, and its presence in hypothalamic nuclei for which glucose-sensitive neurons are present has indeed been reported (2, 19). The minor changes observed in hypothalamic GLUT2 gene expression agree with those reported in mammals, where transport of glucose into the brain region through GLUT2 is considered not to be limiting (39). In addition, in previous studies with trout, no major changes were noticed in GLUT2 gene expression, either in glucose-injected fish (33) or in fish fed with similar diets in which the changes were concentrated in the two first days of feeding trial (35).

GK is a critical regulator of brain glucosensing in mammals (11) and fish (33), participating in the control of glucose homeostasis and food intake (20, 35). In the present study GK activity and expression seem to be regulated by dietary carbohydrates, since these were enhanced in fishes fed with the HC diet (at all the times assessed) in agreement with the concomitant increases in glycemia and glycogen levels in these regions. These results clearly agree with the model described in fish in previous studies with rainbow trout, where enhanced glucose levels due to intraperitoneal/intracerebroventricular glucose administration (33, 36) or long-term feeding of HC diets (35) promoted changes in these glucosensing-related parameters. Altogether, these results suggest that dietary carbohydrates increase plasma glucose levels, which are detected in this glucosensing area through a typical metabolic response characterized by higher GK activities and glycogen levels, and that they are probably involved in the initiation of the neural response to the hyperglycemia (35).

In mammals, the involvement of KATP channel in central glucose recognition and counterregulation has been demonstrated in numerous studies (20). However, in fish, this is the first time in which the KATP channel is studied in the hypothalamus, providing evidence for the expression of both Kir6.-like and SUR-like in a way similar to several hypothalamic nuclei in mammals (20). Although dietary carbohydrates do not seem to regulate KATP gene expression in trout hypothalamus in opposition to the downregulation observed in hyperglycemic rats (1), the presence of the KATP channel in the mammalian hypothalamus is at the core of the capacity of glucosensing neurons to alter their membrane potential in response to changes in glucose (40), suggesting a similar role in fish. In addition, functional KATP channels have been identified in the hypothalamic areas important for the control of food intake and energy balance (1) in agreement with the results in the present study and with the changes in the glucosensing potential in rainbow trout subjected to hypo- and hyperglycemia where changes in food intake were also noticed (35).

In accordance with the critical functions of hypothalamic neurons in the regulation of glucose homeostasis, energy expenditure, and food intake (20), we also studied FAS gene expression, which has been hypothesized in mammals to contribute to the regulation of energy balance and metabolic homeostasis in this brain region (14). Indeed, we found FAS gene expression in trout hypothalamus, which may suggest that this enzyme plays a significant role in energy homeostasis in fish as in mammals. However, FAS gene expression was not affected by dietary carbohydrates in trout hypothalamus in opposition to the upregulation reported in both rat hypothalamic neurons subjected to high glucose concentrations (14) and hepatic FAS expression (this study). This tissue-dependent response noted in FAS gene expression demonstrates how nutrients (like glucose) can regulate differentially in fish key metabolic genes in both peripheral and central tissues, reflecting different functions for different tissues in response to the same nutritional signal.

Postprandial effects of dietary carbohydrates on major components of the glucosensing mechanism. In fish fed with the carbohydrate-enriched diet, we also assessed the postprandial profile of gene expression of the major components of the glucosensing mechanism, as well as the associated major biochemical parameters (GK activity and glycogen levels). This is the first study, as far as we are aware, in which such postprandial kinetic characterization was carried out. In accordance with the typical glycemia profile found in salmonids fed with a HC diet (see above) and the slow digestive process in fish (8) we found a differential response in the profile of both biochemical parameters and gene expression of major glucosensing components due to dietary carbohydrates in the three tissues studied. In the hypothalamus, we observed the highest GLUT2 gene expression 1 h after feeding, in agreement with the maximal GK activity at that time, and a decrease thereafter between 6 and 24 h postfeeding. Since fish were regularly fed once a day, data obtained 24 h after feeding very likely also represent the prefeeding situation (0 h) with fish waiting for the next meal, and because of that, both parameters probably increased after the meal. In contrast, this increase in gene expression was delayed until 6 h postfeeding in BB, where in general, we observed the maximum values at that time. Again, the increase in GK activity was also found 6 h after feeding, even considering that no significant differences were achieved in gene expression. Finally, as occurred in BB and in opposition to the hypothalamus, we found the maximum GK activity and expression in liver between 6 and 24 h postfeeding, similar to previous results described in teleost fishes (27). Altogether, these data demonstrate in fish the existence of different postprandial profiles in both key glucosensing genes and biochemical parameters in response to dietary carbohydrates in different trout tissues. Thereby, since the hypothalamus seems to respond to hyperglycemia earlier than BB or liver, we suggest that in trout nutrients like glucose are able to regulate differentially the glucosensing system in peripheral and central tissues. In addition, we found that the liver, which is not acting as a glucosensor tissue, is the last tissue responding to hyperglycemia, supporting the idea that the physiologically relevant glucosensor mechanism is a short-term system placed in brain regions and pancreatic cells and not the liver, which is associated with other functions.

In the present study, we describe for the first time in fish the presence of two new key components of the glucosensing mechanism proposed in mammals (Kir and SUR; Ref. 42) in two glucosensor tissues (hypothalamus and BB; Ref. 33) of rainbow trout, as well as confirmed the presence of other two (GLUT2 and GK) by qPCR. In addition, after rainbow trout were fed with two experimental diets (CF and HC) for 10 days, we demonstrated in this species a potential capacity to respond to a HC diet at a molecular level, based on a positive response of the major components of the glucosensing system. We found that these four genes were strongly upregulated by dietary carbohydrates in BB, especially 6 h after feeding, suggesting a maximum capacity to respond to glucose at that time and an efficient adaptation to this amount of carbohydrates. In contrast, in the hypothalamus only GK gene expression was upregulated by dietary carbohydrates, reinforcing the key role of this enzyme in the central glucodetection, as occurs in mammals (11). On the other hand, we also found a differential postprandial regulation of the system by dietary carbohydrates. Those profiles were characterized by an earlier response in some of the components of the system in the hypothalamus and a delayed regulation in BB, suggesting that the brain is the first organ detecting and responding to an increase in glycemia, in agreement with the glucose dependence of this tissue in mammals (20) and fish (46), while the pancreas potential response would be produced later.

Perspectives and Significance Altogether, these results demonstrate an efficient adaptation and the potential capacity to respond to a HC diet in rainbow trout that do not support the originally hypothesis (24, 55) that the limited capacity to utilize dietary carbohydrates in this species was due to the lack of a glucosensing system. In this sense, although this glucosensing system seems to be functional at the molecular level in rainbow trout hypothalamus and BB, in a practice point of view, this species still an inefficient user of dietary carbohydrates. This glucose intolerance could be related to the behavior of some components of the system in rainbow trout BB (Kir and SUR) that changed in an opposite way compared with the mammalian system and suggest a disarrangement in the metabolic pathway that leads to insulin secretion, linked to glucose intolerance in trout. However, the efficient adaptation to dietary carbohydrates found in the glucosensing tissues of rainbow trout could indicate that the glucose intolerance in this species is not related with glucose detection. Therefore, the basis of this poor ability to efficiently utilize dietary carbohydrates in rainbow trout remains to be elucidated and could be related to other molecular events, such as signaling pathways or interaction with other nutrients present in the diet, like amino acids.


   GRANTS
TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
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REFERENCES
 
This study was supported by research grants from the Ministerio de Educación y Ciencia and European Fund for Regional Development (AGL2004-08137-c04-03/ACU), the Xunta de Galicia (PGIDT05PXIC31202PN), and the 6th PCRD European Project (contract no. 016249-2) "Sustainable Aquafeeds to Maximise the Health Benefits of Farmed Fish for Consumers (AQUAMAX)." S. Polakof was recipient of a predoctoral fellowship from the Xunta de Galicia (Program Maria Barbeito).


   FOOTNOTES
 

Address for reprint requests and other correspondence: S. Polakof, Laboratorio de Fisioloxía Animal, Facultade de Bioloxía, Edificio de Ciencias Experimentais, Universidade de Vigo, E-36310 Vigo, Spain (e-mail: spolakof @uvigo.es)

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.


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 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
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