Abstract
Elevation of dietary or brain leucine appears to suppress food intake via a mechanism involving mechanistic target of rapamycin, AMPK, and/or branched chain amino acid (BCAA) metabolism. Mice bearing a deletion of mitochondrial branched chain aminotransferase (BCATm), which is expressed in peripheral tissues (muscle) and brain glia, exhibit marked increases in circulating BCAAs. Here, we test whether this increase alters feeding behavior and brain neuropeptide expression. Circulating and brain levels of BCAAs were increased two- to four-fold in BCATm-deficient mice (KO). KO mice weighed less than controls (25.9 vs 20.4 g, P<0.01), but absolute food intake was relatively unchanged. In contrast to wild-type mice, KO mice preferred a low-BCAA diet to a control diet (P<0.05) but exhibited no change in preference for low- vs high-protein (HP) diets. KO mice also exhibited low leptin levels and increased hypothalamic Npy and Agrp mRNA. Normalization of circulating leptin levels had no effect on either food preference or the increased Npy and Agrp mRNA expression. If BCAAs act as signals of protein status, one would expect reduced food intake, avoidance of dietary protein, and reduction in neuropeptide expression in BCATm-KO mice. Instead, these mice exhibit an increased expression of orexigenic neuropeptides and an avoidance of BCAAs but not HP. These data thus suggest that either BCAAs do not act as physiological signals of protein status or the loss of BCAA metabolism within brain glia impairs the detection of protein balance.
Introduction
An adequate supply of protein is necessary for life, and a number of observations support the existence of regulatory systems that assess endogenous protein/amino acid demand and alter food intake to meet this demand (Peters & Harper 1984, Hannah et al. 1990, White et al. 1994, Du et al. 2000, Jean et al. 2001, Westerterp-Plantenga 2003, Anderson & Moore 2004, Lacroix et al. 2004, Tome 2004). This regulatory drive to consume adequate protein can be extremely powerful, resulting in protein intake being regulated as a higher priority than energy intake (Sorensen et al. 2008, Brooks et al. 2010). Yet, to date, very little is known about the mechanisms underlying ‘protein balance’ and its relation with energy balance.
To achieve this regulation, it seems likely that the brain responds to variations in circulating signals that reflect protein balance. To date, some evidence supports alterations in circulating hormones (Batterham et al. 2006), while other works suggest that individual amino acids may act locally within the brain (Panksepp & Booth 1971, Sandoval et al. 2008). For instance, the branched chain amino acid (BCAA) leucine suppresses food intake when locally administered into the brain (Cota et al. 2006, Morrison et al. 2007, Ropelle et al. 2008, Blouet et al. 2009), and supplementing the diet with excess leucine or BCAAs also suppresses food intake (Ropelle et al. 2008, Newgard et al. 2009). Together, these data suggest that BCAA, and particularly leucine, may be uniquely suited to serve as signals of protein balance.
To date, the majority of experiments have focused on mechanistic target of rapamycin (MTOR; also known as mammalian target of rapamycin, mTOR) as a probable mediator of brain leucine signaling (Cota et al. 2006, Morrison et al. 2007, Ropelle et al. 2008). However, Blouet et al. (2009) demonstrated that local injection of downstream products of BCAA metabolism (α-ketoisocaproic acid or α-ketoisovaleric acid), or pharmacologic manipulation of BCAA metabolism, also altered food intake. As such, it is possible that BCAA metabolism may also produce signals relevant to food intake or protein detection.
To test the effect of altered BCAA metabolism on feeding behavior and hypothalamic function, we focused on mice bearing a whole-body deletion of the mitochondrial form of branched chain aminotransferase (BCATm; She et al. 2007). Because these mice exhibit marked increases in circulating BCAAs, they provide a novel model system in which to test whether increased circulating BCAAs represent a signal of protein excess. We hypothesized that BCATm-KO mice would exhibit a phenotype consistent with excess protein, including reduced food intake, reduced orexigenic neuropeptide gene expression, and avoidance of high-protein (HP) diets.
Materials and Methods
Animals
BCATm-deficient mice (KO mice) were developed as described previously by She et al. (2007), who also described the general phenotype of increased circulating BCAAs, leanness, and increased oxygen consumption. All studies used male KO mice or wild-type (WT) littermates generated at Virginia Tech (Experiment 1) or from breeders subsequently sent to Pennington Biomedical Research Center (Experiments 2 and 3). Mice were group housed (two to four per cage) in shoebox cages under a 12 h light:12 h darkness cycle and were fed standard chow made available ad libitum unless otherwise noted. All experiments were approved by the Institutional Animal Care and Use Committee of Pennington Biomedical Research Center.
Experiment 1: brain amino acids and orexigenic neuropeptides in KO mice
To identify baseline differences in plasma and brain amino acids and hypothalamic neuropeptide expression, 20-week-old male homozygous BCATm-deficient mice (KO; n=5) or WT littermates (n=10) were rapidly killed, trunk blood was collected, and brains were isolated. Samples of mediobasal hypothalamus containing principally arcuate nucleus were isolated for RNA extraction, while forebrains were collected to assess brain amino acid concentrations via HPLC (see below).
Experiment 2: effects of leptin replacement on feeding behavior, body adiposity, and hypothalamic neuropeptides in KO mice
To determine whether normalization of circulating leptin levels would normalize hypothalamic neuropeptides and food intake, 8-week-old male BCATm-KO mice and WT littermates were adapted to a two-choice diet paradigm in which mice were allowed to self-select between a control diet and a diet containing BCAAs at only 2.5% of the control (BCAA-low). Mice were group housed and acclimated to the two-choice paradigm for 2 weeks and were then single-housed prior to implantation with s.c. osmotic minipumps (Alzet Minipumps, Durect, Cupertino, CA, USA) delivering either PBS, 3 μg/day leptin, or 10 μg/day leptin (n=9–10 per group) (White et al. 2009). Leptin was procured from the National Hormone Pituitary Program (Dr A F Parlow). Food intake and body weight were measured daily, and after 6 days of infusion, mice were rapidly killed, retroperitoneal and epididymal fat pads were collected and weighed, and hypothalamus was isolated for RNA extraction.
To test whether KO mice also exhibited an altered preference for low-protein (LP)- vs HP diet, WT (n=9) and KO (n=13) mice were offered a choice between isocaloric diets providing casein protein at 10% of energy (LP) or 35% of energy (HP; Table 1). Food intake was measured daily for 10 days, but mice were otherwise not manipulated.
Experimental diets
Ingredient (g) | Control | Low BCAA | Low protein | High protein |
---|---|---|---|---|
Casein | 0 | 0 | 100 | 350 |
Corn starch | 300 | 300 | 440.3 | 291.7 |
Maltodextrin | 125 | 125 | 150 | 75 |
Sucrose | 250 | 250 | 107.077 | 107.077 |
Cellulose | 50 | 50 | 50 | 50 |
Soybean oil | 50 | 50 | 25 | 25 |
Lard | 0 | 0 | 75 | 75 |
Mineral Mix S10001 | 35 | 35 | 0 | 0 |
Mineral Mix S10022C | 0 | 0 | 3.5 | 3.5 |
Sodium bicarbonate | 7.5 | 7.5 | 0 | 0 |
Vitamin mix | 10 | 10 | 10 | 10 |
Choline bitartrate | 2 | 2 | 2.5 | 0 |
Diammonium citrate | 0 | 24 | 0 | 0 |
Calcium carbonate | 0 | 0 | 10 | 12.38 |
Potassium citrate | 0 | 0 | 2.48 | 6.58 |
Potassium phosphate | 0 | 0 | 6.86 | 1.6 |
Sodium chloride | 0 | 0 | 2.59 | 2.59 |
l-arginine | 8.27 | 8.27 | ||
l-histidine–HCl–H2O | 6 | 6 | ||
l-isoleucine | 8 | 0.205 | ||
l-leucine | 12 | 0.278 | ||
l-lysine–HCl | 14 | 14 | ||
dl-methionine | 6 | 6 | ||
l-phenylalanine | 8 | 8 | ||
l-threonine | 8 | 8 | ||
l-tryptophan | 2 | 2 | ||
l-valine | 8 | 0.205 | ||
l-alanine | 10 | 10 | ||
l-asparagine–H2O | 10 | 10 | ||
l-cystine | 4 | 4 | 1.5 | 5.25 |
l-glutamic acid | 10 | 10 | ||
l-glutamine | 10 | 10 | ||
Glycine | 10 | 10 | ||
l-proline | 10 | 10 | ||
l-serine | 10 | 10 | ||
l-tyrosine | 4 | 4 | ||
Total | 987.8 | 984.5 | 990 | 1018 |
kcal/g | 3.87 | 3.77 | 4.13 | 4.02 |
Experiment 3: effects of acute, high-dose leptin treatment on hypothalamic neuropeptides in control and BCATm-KO mice
To determine whether KO mice were unresponsive to leptin-dependent regulation of mRNA expression, BCATm-KO mice and WT littermates received i.p. injections of leptin in the fed or fasted state (n=8 per group). Mice received an i.p. injection of either leptin (5 μg/g body weight) or saline, at the beginning of the fast (Time 0) and then after 12 and 24 h. Four hours after the final injection, mice were killed and hypothalami were isolated for RNA extraction.
Amino acid analysis
Brain and plasma amino acids were measured using fluorometric HPLC via methods described previously (Wu & Knabe 1994), except that methanol extraction was used for brain tissue rather than acid precipitation. The o-phthaldialdehyde amino acid derivatives were separated by gradient elution using a Supelcosil LC-18 column (15 cm×4.6 mm, 3 μm, Sigma).
Hormone analysis
Trunk blood was collected and allowed to clot at 4 °C overnight, centrifuged at 3000 g for 30 min, and serum collected and stored at −80 °C. Serum levels of leptin were measured using RIA kit (Millipore, St Charles, MO, USA), according to the manufacturer's instructions.
RNA extraction and real-time PCR
RNA extraction and real-time PCR were conducted as described previously (Morrison et al. 2007, White et al. 2010). Total RNA was extracted from mediobasal hypothalamus using Tri-Reagent (Molecular Research Center, Cincinnati, OH, USA), according to the manufacturer's instructions. Confirmation of intact 18S and 28S RNA bands was achieved by ethidium bromide staining after electrophoresis of samples in 1% agarose gels. Samples were quantified by spectrophotometry, then mRNA was reverse transcribed into cDNA, and mRNA expression determined using the SYBR green methodology in optical 384-well plates in an ABI PRISM 7900 sequence detector (Applied Biosystems, Branchburg, NJ, USA). All expression data were normalized to cyclophilin mRNA levels.
Statistical analysis
Data were analyzed using the SAS software package (SAS V9, SAS Institute, Cary, NC, USA) using a two-tailed t-test or ANOVA using the general linear model procedure. When experiment wide tests were significant, post hoc comparisons were made using the LSMEANS statement with the PDIFF option and thus represent least significant differences tests for pre-planned comparisons. For real-time PCR, expression levels were normalized to cyclophilin prior to analysis. All data are expressed as mean±s.e.m., with a probability value of 0.05 considered statistically significant.
Results
Experiment 1: impact of BCATm deletion on brain amino acids and orexigenic neuropeptides
Similar to previous experiments (She et al. 2007), BCATm-KO mice exhibited a marked increase in circulating BCAA levels (P<0.01; Fig. 1A), with plasma leucine, isoleucine, and valine concentrations increased by four-, eight-, and seven-fold respectively. Similarly, brain BCAA levels were increased by two-, five-, and three-fold respectively (P<0.01; Fig. 1B). This ratio of blood to brain levels of BCAAs is consistent with the kinetic properties of the system l amino acid transporters (LAT1) expressed in tissues forming the blood–brain barrier (Kanai et al. 1998). The increased BCAA concentrations had a variable effect on brain levels of non-BCAAs (Table 2). For example, Glu and Gln concentrations were statistically higher in the BCATm-KOs compared with WT controls and GABA was unchanged. Amino acids that are precursors of the monoamine neurotransmitters and/or substrates for LAT1 were either unchanged (Phe, Trp, and Met) or higher (Tyr). These data do not support the possibility that elevations in BCAAs interfered with brain uptake of other large, neutral amino acids (Tews et al. 1979).
Forebrain amino acids (μM) in BCATm-KO mice compared to wild-type littermates
Amino acid | Wild-type | BCATm-KO | P |
---|---|---|---|
TYR | 37±9 | 127±12 | 0.001* |
ORN | 314±29 | 460±1 | 0.001* |
GLN | 4116±497 | 6388±595 | 0.002* |
ASN | 144±8 | 187±14 | 0.01* |
THR | 452±54 | 601±73 | 0.02* |
ALA | 823±193 | 724±31 | 0.02* |
LYS | 81±5 | 99±12 | 0.02* |
GLU | 9509±603 | 10 532±563 | 0.03* |
SER | 840±50 | 916±61 | 0.03* |
ARG | 287±29 | 365±32 | 0.07 |
ASP | 1993±214 | 2264±199 | 0.13 |
MET | 75±6 | 71±18 | 0.21 |
TRP | 22±4.8 | 14±6.6 | 0.22 |
CIT | 16±1.1 | 22±1.5 | 0.24 |
GLY | 983±95 | 1178±83 | 0.5 |
TAU | 9357±225 | 9125±125 | 0.67 |
PHE | 51±3.1 | 50±11 | 0.93 |
GABA | 2859±280 | 3020±126 | 0.97 |
*P<0.05
Agrp mRNA levels were significantly increased within BCATm-deficient mice as compared with controls (P<0.05; Fig. 2). Npy mRNA levels were roughly doubled, but this difference did not reach statistical significance (P=0.14). Pomc mRNA expression was also measured, but the results were inconsistent between experiments and as such inconclusive (data not shown). Interestingly, changes in hypothalamic Npy and Agrp mRNA expression are consistent with the profile of animals on LP diets (White et al. 1994, Morrison et al. 2007).
Experiment 2: role of hypoleptinemia in the phenotype of BCATm-deficient mice
Two weeks prior to minipump implantation, mice were transferred to a 2-choice diet paradigm offering the choice between a control diet and a diet very low in BCAAs (2.5% BCAAs compared to control; Table 1). KO mice were smaller than WT mice (P<0.001; Fig. 3A), and this reduction in body weight was highly consistent with previous work in these mice (She et al. 2007). Baseline food intake (prior to minipump) was not different between KO and WT mice on an absolute basis (Fig. 3C), but when food intake was adjusted for body weight, KO mice consumed more food than controls (P<0.001; Fig. 3D). While differences in absolute intake were relatively subtle, KO and WT mice exhibited marked differences in their preference between the control and low-BCAA diets (P<0.001; Fig. 3B). While WT mice significantly preferred the control diet, KO mice preferred the diet with very low BCAAs. KO mice therefore appear to avoid dietary BCAAs, presumably in response to their excess endogenous BCAAs.
To test whether the elevation of circulating BCAAs represents a signal of excess protein, a separate group of BCATm-deficient mice and control mice were maintained on more generic HP (35% casein protein, Table 1) and LP diets (10% casein protein). BCATm-KO mice exhibited a subtle decrease in absolute food intake compared with controls (Fig. 4C), which was accounted for by adjusting to body weight (Fig. 4D). Despite their elevation of circulating BCAAs, KO mice did not exhibit altered selection between the LP and HP diets (Fig. 4B). Thus, the specific avoidance of BCAAs in the KO mice did not translate into a more generalized avoidance of protein.
Following this 2-week dietary acclimation period, male KO mice and their WT littermates were implanted with osmotic minipumps designed to a) return plasma leptin levels to normal following administration of leptin at a low dose (3 μg/day) and b) increase leptin above normal following administration of leptin at a higher dose (10 μg/day). Circulating leptin levels were reduced in KO mice (P<0.05; Fig. 5), although the difference was not as large as previously reported (She et al. 2007). Infusion of 3 μg/day leptin normalized circulating leptin to physiological levels in KO mice and produced a small but significant increase in the WT mice. In contrast, the higher 10 μg/day dose produced a marked increase in both KO and WT mice. Leptin treatment had little effect on body weight gain over the 6 days of infusion, as only KO mice receiving the highest dose exhibited a subtle decrease in weight (P=0.054; data not shown). Leptin significantly suppressed total daily food intake in both genotypes (P<0.05; Fig. 6A), such that there was a significant main effect of leptin treatment (P<0.001), but no significant treatment by genotype interaction (P=0.53). Although it suppressed total intake, leptin treatment had no effect on the preference ratio between the control and low-BCAA-diets in either genotype (Fig. 6B) such that KO mice continued to exhibit a marked shift in preference toward the low-BCAA diet despite normalization of circulating leptin.
KO mice were lean compared with WT controls, exhibiting significantly lower retroperitoneal and epididymal fat pad weights (P<0.01; Fig. 7). While leptin had little effect on adiposity in control mice, the KO mice exhibited significant decreases in body fat, particularly at the high dose (P<0.05; Fig. 7).
The primary goal of Experiment 2 was to determine whether normalization of circulating leptin levels would reduce hypothalamic Npy and Agrp mRNA expression in BCATm-KO mice. Similar to the results from Experiment 1, a significant increase in Npy and Agrp levels was detected within KO mice (P<0.01; Fig. 8A). However, increasing circulating leptin had no effect on either Npy (Fig. 8B) or Agrp (Fig. 8C) mRNA expression within KO mice. These data suggest that the increase in Npy and Agrp mRNA levels in BCATm-KO mice cannot be explained by reduced circulating leptin.
Experiment 3: effects of acute, high-dose leptin treatment on hypothalamic neuropeptides in control and BCATm-KO mice
It is possible that hypothalamic NPY/AgRP neurons are rendered resistant to the effects of leptin in BCATm-KO mice and that this loss of sensitivity explains the lack of effect of leptin on Npy and Agrp mRNA levels in these mice. To assess this possibility, a separate group of BCATm-KO mice was treated with acute doses of leptin every 12 h during a 28 h fast, which is a paradigm more typically used to assess the effects of leptin on hypothalamic gene expression (Baskin et al. 1999, Mizuno & Mobbs 1999, Korner et al. 2001, Morrison et al. 2005). While leptin had no effect on either Npy or Agrp in the fed state, fasting increased both Npy and Agrp mRNA expression (P<0.05; Fig. 9), and injection with leptin blocked this fasting induced increase.
Discussion
Nutrients such as glucose, fatty acids, and amino acids can act locally within the brain to regulate neuronal function, food intake, and body weight (Sandoval et al. 2008, Blouet & Schwartz 2010, Moran 2010). Dietary protein content or physiological protein demand influences food intake and/or food selection (White et al. 1994, Westerterp-Plantenga 2003, Anderson & Moore 2004, Tome 2004), as well as energy expenditure (Zhang et al. 2007, Smeets et al. 2008, Westerterp-Plantenga et al. 2009). Collectively, these observations suggest that regulatory systems detect variations in protein balance and regulate food intake, food selection, and metabolism accordingly (Sorensen et al. 2008, Brooks et al. 2010). Significant emphasis has recently been placed on the BCAA leucine, based on its ability to suppress food intake when administered directly into the brain or following supplementation in the diet (Cota et al. 2006, Morrison et al. 2007, Ropelle et al. 2008, Blouet et al. 2009, Newgard et al. 2009). Yet, some uncertainty exists as to the physiological relevance and specific signaling mechanism(s) underlying brain leucine signaling. Several lines of evidence indicate that MTOR signaling is an important mediator, as central leucine activates MTOR, and rapamycin pretreatment blocks the effects of leucine (Cota et al. 2006, Ropelle et al. 2008, Blouet et al. 2009). However, administration of a downstream product of BCAA metabolism or pharmacological activation of BCAA oxidation was also shown to reduce food intake (Blouet et al. 2009), suggesting that the metabolism of BCAAs might generate regulatory signals.
Considering this evidence, we utilized BCATm-deficient mice as a unique model in which circulating BCAAs are markedly increased. BCATm serves as the initial step in the metabolism of BCAAs. Two individual isozymes of BCAT exist: BCATm, which is expressed in most peripheral tissues and brain glia, and BCATc, which is expressed almost exclusively within neurons (Hutson et al. 1992, Sweatt et al. 2004a,b). Because BCATm-deficient mice are unable to metabolize BCAAs within peripheral tissues, particularly muscle, they exhibit a marked increase in circulating BCAAs (She et al. 2007). Based on the previous data (Cota et al. 2006, Morrison et al. 2007, Ropelle et al. 2008, Blouet et al. 2009), one would anticipate that this elevation of circulating BCAAs would signal protein excess, resulting in a decrease in food intake and avoidance of dietary protein. In addition, because our previous work indicates that animals on a LP diet exhibit hyperphagia and increased Npy and Agrp mRNA expression (White et al. 1994, Morrison et al. 2007), our prediction was that the increased levels of BCAAs within BCATm-KO mice would act to suppress food intake and Npy and Agrp mRNA expression. Yet, the results are inconsistent with this hypothesis, as BCATm mice do not show a clear suppression of food intake, and Npy and Agrp mRNA expression was actually increased in these mice. It should be noted that while Agrp mRNA expression was increased in both experiments, Npy was only significantly increased in Experiment 2. This lack of statistical significance in Experiment 1 is likely due to the low animal numbers and reduced power in this initial experiment because the pattern of expression was similar. Finally, we also measured Pomc expression in these samples, but the results were highly inconsistent across experiments. As such, the role of Pomc in contributing to the phenotype in these mice remains unclear.
At least two possible explanations exist for observed changes in hypothalamic neuropeptide expression: the first possibility is that BCAAs have no effect on hypothalamic neuropeptides in vivo and that the increases in Npy and Agrp are driven by some secondary effect (i.e. reduced circulating leptin, see below). The second possibility is that, while neuronal BCAA metabolism is intact, the loss of glia BCAA metabolism in some fashion impairs brain amino acid sensing, resulting in the increase in Npy and Agrp despite the increase in BCAAs. Considering that the observed increases in Npy and Agrp are fully consistent with the changes that we observe in animals on a LP diet, and previous in vivo and in vitro experimentation suggesting that amino acids may regulate these neuropeptides, we propose that altered glial BCAA metabolism contributes at least partly to the altered neuropeptide expression in these mice. However, early work in BCATm-KO indicated very low levels of circulating leptin (She et al. 2007), which could also contribute to the observed increases in Npy and Agrp. We therefore wanted to rule out the possibility that low leptin levels contribute to the phenotype of these mice. To test this question, we chronically infused BCATm-KO mice and control littermates with two doses of leptin, resulting in a physiological normalization of circulating leptin levels in the low dose, and a physiological increase with the high dose.
Normalization of circulating leptin had several affects in the KO mice, including reduced food intake and body adiposity. Interestingly, the KO mice exhibited a much larger reduction in body adiposity in response to leptin compared with WT mice. Since the KO mice are lean with reduced circulating leptin, it would be logical to speculate that they are more sensitive to exogenous leptin. However, leptin produced a relatively similar decrease in food intake in both genotypes. As such, it is unclear why KO mice responded to leptin with a larger reduction in adiposity, and this difference could be due to direct effects of increased BCAAs on the adipocyte or to the metabolic consequences of increased BCAAs or deletion of BCATm. Regardless, these data clearly indicate that the doses of leptin infused into the KO mice were physiologically relevant.
While the KO mice clearly responded to leptin, neither dose of leptin had any effect to reduce Npy or Agrp expression in these mice. To confirm that leptin is capable of reducing Npy and Agrp in these mice, we injected a very high-dose leptin into fed and fasted BCATm-KO mice. At these pharmacological doses, leptin blocked the fasting-induced increase in Agrp and Npy. Thus, we conclude that BCATm-KO mice are capable of responding to leptin, but that low leptin levels are not responsible for the observed increase in Npy and Agrp expression. Instead, these data are more consistent with innate alterations in brain BCAA sensing or metabolism as contributing to the alterations in hypothalamic neuropeptide gene expression.
While BCATm-KO mice exhibit leptin-independent increases in Npy and Agrp, absolute food intake in these mice was only modestly altered. Previous work in these mice demonstrated that KO mice were smaller and leaner than controls, but that they consumed more food when that intake was normalized to body weight (She et al. 2007). In our hands, BCATm-KO mice are consistently smaller and leaner than controls, and initial work in Experiment 2 also indicated that they consumed similar amounts of food on an absolute basis and thus more food on a per gram body weight basis. However, subsequent experiments did not detect this difference, with KO mice showing a slight decrease in absolute food intake, but no change when intake was normalized to their reduced body weight. Taken together, we conclude that absolute food intake is relatively unperturbed in these mice, despite the markedly increased BCAAs. Thus, these data suggest that either increased BCAAs have no effect on food intake or some other defect (loss of glial BCAA metabolism) attenuates the response to increased BCAAs.
In contrast to their relatively normal absolute food intake, BCATm-KO mice exhibit a specific change in their preference for BCAAs. When given the choice between a control diet and a diet that was practically devoid of BCAAs, the low-BCAA diet constituted only 27% of the WT intake, but 62% the KO intake. Thus, the KO selected significantly more of the low-BCAA diet, suggesting that the BCATm-KO mice detect their abnormally high BCAAs and avoid consuming these amino acids. Surprisingly, this altered preference did not translate to protein in general. Thus, despite the evidence that leucine or BCAAs may signal excess protein, the KO mice chose normal amounts of protein when given the choice between low or high in protein. Because the low-BCAA and control diets were isocaloric and contained normal amounts of all amino acids besides BCAAs, BCATm mice had the luxury of avoiding BCAAs without negatively impacting energy or protein intake. However, when maintained on the standard LP and HP diets, avoiding BCAAs would result in a marked reduction in overall protein intake. Taken together, these data suggest that an elevation of BCAAs does not represent an overall signal of excess protein (Anderson et al. 1990) and instead suggests that the altered preference was limited to the three BCAAs. Although further work is required to define why KO mice avoid BCAAs, these data are consistent with previous work demonstrating that neuronal systems detect imbalances in dietary and/or circulating amino acids and alter food intake and selection to counteract these imbalances (Fromentin & Nicolaidis 1996, Gietzen & Rogers 2006, Rudell et al. 2011). In addition, this shift in preference was insensitive to leptin treatment, suggesting that the regulation of protein intake and selection is regulated separately from energy intake.
Finally, these data also highlight the possibility that glia may contribute to amino acid detection within the brain. Astrocytes are classically associated with neuronal support, functioning to maintain the extracellular environment by both regulating nutrient and metabolite balance and contributing to the uptake and break down of secreted neuropeptides (Volterra & Meldolesi 2005). Yet, recent evidence indicates that astrocytes may also act in a regulatory role by detecting and secreting various signaling molecules, influencing the activity of nearby neurons, and having direct effects on synaptic plasticity (Araque et al. 1999, Newman 2003, Haydon & Carmignoto 2006, Hermann et al. 2009). In particular, studies on brain glucose sensing have implicated astrocytes as a functional mediator of glucose detection (Young et al. 2000, Guillod-Maximin et al. 2004, Marty et al. 2005), while BCAA metabolism in astrocytes contributes to the glutamate–glutamine cycle and neuronal glutamate turnover (Yudkoff 1997, Lieth et al. 2001). Because BCATm-KO mice exhibit elevated circulating BCAAs but intact neuronal BCAA metabolism, we anticipated a phenotype more consistent with excess protein availability (i.e. reduced food intake and orexigenic neuropeptide expression). Instead, BCATm-KO mice exhibit a phenotype that is more representative of animals on LP diets. Therefore, while the current data do not provide unequivocal proof for the importance of glial BCAA metabolism in amino acid detection, these data together with previous work are consistent with the possibility that impaired glial BCAA metabolism may alter neuronal function and hypothalamic neuropeptide expression, and future experiments utilizing glial and neuronal specific knockouts will be required to directly test this hypothesis.
In summary, we have demonstrated that loss of BCAA transamination results in specific changes in diet selection and hypothalamic neuropeptide gene expression. These changes in neuropeptide expression and protein selection are independent of changes in circulating leptin, indicating not only that mechanisms other than leptin drive the increased Npy and Agrp but also that protein intake and selection may be unrelated to the regulation of energy intake. Finally, considering that hypothalamic Npy and Agrp expression is increased despite elevations in circulating amino acids, these data raise the possibility that impaired glial BCAA metabolism results in a loss of amino acid sensing within the brain.
Declaration of interest
The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.
Funding
This work was supported by NIH Grants R01-DK081563 and P20-RR021945 to C D M, as well as core facilities supported in part by COBRE (NIH P20-RR021945) and NORC (NIH 1P30-DK072476) center grants from the National Institutes of Health.
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