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Disruption of BCATm in mice leads to increased energy expenditure associated with the activation of a futile protein turnover cycle † Department of Cellular and Molecular Physiology, the Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA 17033 § Department of Neural and Behavioral Sciences, the Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA 17033 ¶ Department of Biochemistry and Molecular Biology, Nutrition Research Center, Wake Forest University Health Sciences, Medical Center Blvd, Winston-Salem, NC 27157 ‡Corresponding author to whom communications should be sent: Christopher J. Lynch, Ph.D., Department of Cellular and Molecular Physiology, Penn State University College of Medicine, 500 University Dr, Mail code H166, Hershey, PA 17033, Ph: 717-531-5170, FAX: 717-531-7667, Email: clynch/at/psu.edu The publisher's final edited version of this article is available at Cell Metab. See commentary "Leucing weight with a futile cycle." in Cell Metab, volume 6 on page 155. See other articles in PMC that cite the published article.Summary Leucine is recognized as a nutrient signal, however the long-term in vivo consequences of leucine signaling and the role of branched chain amino acid (BCAA) metabolism in this signaling remains unclear. To investigate these questions, the BCATm gene encoding the enzyme catalyzing the first step in peripheral BCAA metabolism was disrupted. BCATm−/− mice exhibited elevated plasma BCAAs, decreased adiposity and body weight, despite eating more food, along with increased energy expenditure, remarkable improvements in glucose and insulin tolerance, and protection from diet induced obesity. The increased energy expenditure did not seem to be due to altered locomotor activity, uncoupling proteins, sympathetic activity, and thyroid hormones but was strongly associated with food consumption and an active futile cycle of increased protein degradation and synthesis. These observations suggest that either elevated BCAAs and/or loss of BCAA catabolism in peripheral tissues play an important role in regulating insulin sensitivity and energy expenditure. Introduction Abundant food supplies and sedentary lifestyle contribute to the epidemic of obesity in Western countries. Obesity results from the positive balance of energy intake and expenditure, i.e., energy intake exceeds energy expenditure. Total energy expenditure consists of obligatory energy expenditure, physical activity, and adaptive thermogenesis (Lowell and Spiegelman, 2000). Adaptive thermogenesis is particularly influenced by environmental temperature and diet, the latter is termed diet-induced thermogenesis (DIT). Despite extensive research, the pathogenesis of human obesity is not fully elucidated; and the prevention and treatment of human obesity has proved difficult. Yet, recent studies in humans suggest that increasing dietary protein may improve body weight control by poorly defined mechanisms that appear to involve both satiety and energy expenditure (Halton and Hu, 2004; Westerterp, 2004). In both short-term and relatively long-term studies, diets with high-protein and low-fat contents were shown to increase energy expenditure, while short-term protein intake induces satiety (Johnston et al., 2002; Leidy et al., 2007; Lejeune et al., 2006). After a fast in humans, whole-body nitrogen turnover and the thermic response to protein diet feeding were found to be significantly greater when compared with a high carbohydrate meal (Robinson et al., 1990). This may be due to the fact that both protein synthesis and proteolysis are energy demanding processes (Reeds, 1985). Thus, protein intake and metabolism positively affects energy expenditure. The effects of dietary protein are thought to be mediated, at least in part, by the essential amino acid, leucine (Leu), and perhaps the other branched chain amino acids (BCAAs). Leu is recognized as a nutrient signal and is an efficacious regulator of protein turnover through stimulating protein synthesis and inhibiting protein degradation (Buse and Reid, 1975; Fulks et al., 1975). Its stimulation of protein synthesis is linked to activation of a cell signaling pathway involving the mammalian target of rapamycin complex 1 (mTORC1) (Kimball and Jefferson, 2006). An in vitro study has shown that a metabolite(s) of Leu catabolism inhibits proteolysis; while intracellular Leu not Leu metabolites regulates protein synthesis (Tischler et al., 1982). Like dietary protein, Leu has been linked to satiety, body weight control and whole body energy expenditure. For example, Leu has been reported to directly stimulate mTOR signaling in the hypothalamus leading to decreased food intake (Cota et al., 2006). In addition, Leu may influence satiety by stimulating of leptin secretion (Lynch et al., 2006). Dietary supplements of Leu or BCAAs have been shown to decrease fat mass and body weight and to improve glucose metabolism in some cases (Bianchi et al., 2005; Donato et al., 2006; Gordon-Elliott and Margolese, 2006; Layman and Walker, 2006; Mourier et al., 1997; Zhang et al., 2007). These findings suggest that BCAA supplements may be beneficial in controlling obesity. Paradoxically other findings are not consistent with an anti-obesity role of dietary Leu and Leu signaling. For example, hyperactivation of the TORC1 signaling pathway resulting from over-nutrition, which includes excessive Leu intake, appears to worsen insulin resistance in obesity (Khamzina et al., 2005; Um et al., 2006; Um et al., 2004). In addition, plasma BCAA concentrations are elevated in humans and animal models of obesity (Felig et al., 1969; Rafecas et al., 1991; Wijekoon et al., 2004). Thus, further research is needed to clarify the physiological role of Leu and its potential for protecting or worsening obesity. In order to examine the effects of persistently elevating plasma Leu resulted from blockage of BCAA metabolism, we have generated and characterized mice in which the gene encoding the mitochondrial branched chain aminotransferase isozyme (BCAT2) has been disrupted. This enzyme catalyzes the first step in BCAA metabolism, which is transfer of the α-amino group of a BCAA to α-ketoglutarate to form glutamate and the three respective branched chain α-keto-acids. BCATm is expressed in most non-neuronal tissues except liver, while the cytosolic isozyme (BCATc) is expressed in the central nervous system (CNS) and in peripheral nerves (Hutson et al., 1992; Suryawan et al., 1998; Sweatt et al., 2004). The expression pattern of BCAA catabolic enzymes in body tissues serves to regulate Leu signaling (Lynch et al., 2003) and to promote interorgan exchange of BCAA metabolites (Suryawan et al., 1998). Because peripheral BCAA catabolism is blocked in the BCATm−/− mice, plasma BCAA concentrations are elevated chronically. These animals consume more food and have increased DIT and are lean when compared with the wild-type mice. In addition, their protein turnover rate is elevated. We propose that increased protein synthesis and degradation directly contribute to increased energy expenditure in mice lacking peripheral BCAA metabolism. Results Growth curve, food intake, plasma concentrations of hormones, amino acids and other metabolites The targeting of the BCATm gene and generation of the conditional and total null alleles using the Cre-loxP system (Figures S1A–S1D) are described in the Supplemental Data available with this article online. As expected, BCATm protein was not detectable in skeletal muscle, kidney, pancreas, brain or adipose tissue of BCATm−/− mice (Figure 1A
BCATm−/− mice grew at the same rate as their littermate controls until ~6-weeks of age when the growth curves diverged and the male BCATm−/− mice exhibited a 10–15% lower body weight than control animals (Figure 1B Even though BCATm−/− mice consumed far less BCAAs, their fed plasma Leu, Ile and Val were increased 14, 21 and 31 fold, respectively, in the male mice (Table 1) and 25, 33 and 37 fold, respectively, in the female mice (data not shown), consistent with disruption of BCATm, the predominant BCAT isozyme in tissues outside the CNS (Suryawan et al., 1998). Asp and Ala were decreased, whereas Thr, Cit and Arg were elevated in the null mice of both genders (Table 1 and data not shown). We also measured plasma BCAA transamination products, branched chain α-keto acids, KIC, KMV and KIV for Leu, Ile, and Val, respectively. KIC did not differ (data not shown), KMV and KIV concentrations were less in the female BCATm−/− (10.6 ± 0.9 μM for KMV and 6.1 ± 0.7 μM for KIV) than in the wild-type mice (17.6 ± 1.2 μM for KMV and 11.8 ± 0.9 μM for KIV, P < 0.01, n=7). Plasma KMV and KIV also tended to be less in the male BCATm−/− mice. The lower branched chain α-keto acids in the BCATm−/− mice are consistent with the disrupted BCAA metabolism at the BCATm-catalyzed step.
Table 1 also shows plasma concentrations of relevant hormones and metabolites. Plasma leptin, adiponectin and resistin were decreased 88%, 55% and 34%, respectively, in the male BCATm−/− mice, whereas IGF-1 and PAI-1 were unaltered compared to the wild-type mice. Plasma adiponectin was decreased by half also in the female mice (data not shown). The lower adiponectin is unexpected considering the lower adiposity of the BCATm−/− mice. Although fed glucose was unaltered, fasting blood glucose and plasma insulin were 31% and 65% lower, respectively in the nulls. Fasting plasma concentrations of FFA and β-hydroxybutyrate were 40% and 50% lower, respectively, in the BCATm−/− than in the BCATm+/+ mice. Plasma concentrations of triglyceride, cholesterol, albumin, creatinine, urea nitrogen and lactate were unaffected by the loss of BCATm−/−. Plasma hormones and metabolites measured in Table 1 were unaltered in the BCATm+/−mice (data not shown). In addition, body weight (Figure 1B
Improved insulin sensitivity and glucose tolerance and resistance to high-fat-diet induced obesity in BCATm null mice The leanness of the BCATm−/− mice and lower fasted plasma glucose and insulin concentrations prompted us to examine glucose metabolism in these animals. After an overnight fast, blood glucose and plasma insulin again were decreased by 33% and 67%, respectively, compared to controls (Figure 2A We examined the effects on diet-induced obesity by feeding the mice with a 60% fat diet for 15 weeks starting at the age of 6–7 weeks (Figure 3
Enhanced energy expenditure associated with DIT in BCATm null mice To determine the mechanism by which the BCATm−/− mice are lean and resistant to diet-induced obesity, we measured energy expenditure using indirect calorimetry (Figure 4
RQ in the light phase was elevated in the null mice, suggesting that the BCATm−/− mice used more carbohydrate as a fuel (Figure 4A To investigate further the association between food intake and VO2, we measured VO2 during fasted-refeeding (Figure 4B No major alterations in common factors regulating bioenergetics in BCATm null mice We sought to determine how energy expenditure is elevated in these null mice. When measured during calorimetry, locomotor activities in BCATm−/− mice were unaltered under most conditions (Figure 5A
We measured UCP (uncoupling protein) mRNA and protein levels in various tissues (Figure 5C We also measured mRNA for other selective genes involved in the regulation of thermogenesis and mitochondrial biogenesis in BCATm−/− mice compared to the wild-type mice (Figure 5C Elevated protein turnover and mTOR signaling in BCATm null mice Leu is known to stimulate protein synthesis through rapamycin sensitive and insensitive mechanisms (Anthony et al., 2000). If protein synthesis was elevated in the BCATm−/− due to the chronically high levels of plasma Leu with a concomitant increase in protein degradation (organs weight showed little change, Figure 2C
To investigate the mechanism by which protein synthesis was elevated in BCATm−/− mice, we examined mTOR signaling and factors involved in protein synthesis. In the randomly fed BCATm−/− mice, total S6K1 protein level and though highly variable, pT389 S6K1, were unaltered measured in gastrocnemius and liver. Both the % of 4E-BP1 in the γ form and pT37/46 4E-BP1 to total 4E-BP1 ratio were significantly elevated in gastrocnemius, compared to the wild-type mice (Figure 6C In response to refeeding after a 21-h fast, the ratios of pT389 S6K1 to S6K1 and pS 235/236 S6 to S6 (a target of S6K1) as well as 4E-BP1 in γ form were greater in the BCATm−/−mice compared to the wild-type mice (Figure 6D Finally, to evaluate the role of protein synthesis on energy expenditure, we measured VO2 in fasted-refed mice treated with mTOR inhibitor, rapamycin, at a dose reported largely abolished mTOR signaling (Anthony et al., 2000; Lynch et al., 2006) (Figure 4C Discussion We have demonstrated in the present study that mice lacking BCATm-catalyzed BCAA metabolism exhibit high levels of plasma BCAAs without elevated branched chain α-keto acids, resulting in a unique phenotype that includes low body fat and increased energy expenditure that is associated with increased food intake, glucose tolerance and insulin sensitivity, and protein turnover. Importantly, we found that VO2 was strongly associated with food consumption in the BCATm−/− mice. During longer fasting, VO2 differences between the null and wild-type mice disappeared but reappeared during refeeding. Stimulation of protein synthesis was also associated with food intake. For instance, fasting inhibits protein synthesis and enhances protein degradation, whereas refeeding immediately stimulates protein synthesis due to elevated insulin and availability of amino acids, especially Leu (Yoshizawa et al., 1997). Cellular metabolic rate is controlled by a number of processes including metabolic demand and substrate supply. It has been thought that substrate metabolism is related to DIT, which is associated with both short-term (i.e. after a meal) and long-term (overeating) feeding (Rolfe and Brown, 1997). Theoretical stoichiometric calculation and in vitro experiments have suggested that the energy cost of pathways of nutrient metabolism greatly varies; and protein synthesis is most sensitive to energy supply (Buttgereit and Brand, 1995). Indeed, protein synthesis accounts for a minimum of 20% of calculated total daily heat production, while fatty acid synthesis accounts for 1% of total heat production in young growing animals (Reeds et al., 1982b). This could partially explain the decreased energy expenditure in leptin deficient ob/ob mice and Zucker fatty rats in which protein synthesis, at least in muscle, is diminished (Reeds et al., 1982a). On the other hand, we did not observe significant increases in factors frequently associated with altering energy expenditure in the BCATm−/− mice such as UCPs, PGC-1α, β-AR3, SERCA1, thyroid hormone, plasma norepinephrine and locomotor activity. Moreover, leptin and adiponectin, two important fat-derived hormones known to significantly enhance energy expenditure, were greatly decreased in the BCATm−/− mice. PGC1α is known to be master regulator of glucose and lipid metabolism as well as mitochondrial function at the transcription and posttranslational levels (Handschin and Spiegelman, 2006). Moreover, cold exposure causes marked and rapid induction of PGC1α expression in brown fat and skeletal muscle, thereby up-regulating UCP1 and enhancing thermogenesis in these tissues (Lowell and Spiegelman, 2000). The role of UCP1 in maintaining normal body temperature was demonstrated in UCP1−/−mice; however, they do not develop obesity and are paradoxically resistant to diet-induced obesity (Enerback et al., 1997; Liu et al., 2003). Zhang et al reported that Leu supplementation increased energy expenditure and resistance to diet-induced obesity (DIO) due to up regulation of UCP3. However in another recent study, over-expression of UCP3 did not increase energy expenditure in mice (Bezaire et al., 2005). We did not observe increased muscle UCP3 in our mice and have been unable to reproduce the Zhang et al findings on DIO, energy expenditure and ITT, even using a slightly higher concentration of Leu in the drinking water (unpublished data). While PGC1α and uncoupling proteins are important in regulating energy expenditure and weight control, alternative thermogenic mechanisms also exist (Lowell and Spiegelman, 2000; Rolfe and Brown, 1997), especially because little brown fat is present in adult large-size animals and humans living in a thermoneutral environment. Thus, it is highly likely that the elevated protein turnover directly contributes to enhanced energy expenditure in mice lacking BCAA metabolism. Others have proposed that sympathetic nerve activity through β adrenergic receptor plays a major role in DIT as demonstrated by the β-less mice (lacking all three β adrenergic receptors) which are prone to diet-induced obesity (Lowell and Bachman, 2003). However, we found no difference in β-AR3 mRNA expression in brown fat, and plasma norepinephrine was 50% lower in BCATm−/− mice. Moreover, we found that brain tyrosine was decreased by 87% in male and 66% in female BCATm null mice (unpublished data). Decreases in brain tyrosine could lead to decreased catecholamine concentrations in the nervous system and in the body. Mice lacking the ability to synthesize epinephrine and norepinephrine have elevated energy expenditure and food intake and decreased body weight (Thomas and Palmiter, 1997). The mechanisms for diet selectivity and elevated food intake in the BCATm null mice are unknown. Seeley and coworkers have shown that direct injection of high concentrations of Leu into the feeding center of the hypothalamus resulted in cessation of feeding (Cota et al., 2006). In the BCATm−/− mice chronically high BCAAs do not impair food intake. The lower plasma leptin in the null animals could contribute to increase food intake; however, it remains to be determined whether neurotransmitter pathways affect food intake and energy expenditure in these mice. On the other hand, the lack of apparent neurological consequences of pathologic levels of plasma BCAA in the BCATm−/− mice agree with studies that suggest that the branched chain α-keto acids, rather than BCAAs, are the toxic metabolites in Maple Syrup Urine disease (Jouvet et al., 2000). Because elevations in brain BCAA concentrations were modest (data not shown), the results suggest that BCATc can handle the increased BCAA supply in the CNS of these mice. Our finding of elevated protein turnover in mice lacking BCAA catabolism raises important questions. What are the mechanisms for elevated protein synthesis and degradation in these mice? We have found that mTOR signaling (i.e. 4E-BP1 and S6K1 activation) were elevated in vivo in randomly fed BCATm−/− mice and/or during fasted-refeeding. eIF4E dissociated from hyperphosphorylated 4E-BP1 binds to eIF4G and hence to form a eIF4F complex, thereby promoting protein synthesis through a cap-dependent translation initiation mechanism. Other unidentified mechanisms could be existed so to increase global protein synthesis in these mice. The mechanisms regulating global protein degradation as occurs in catabolic diseases are not as well understood as protein synthesis. Thus the BCATm−/− mice may provide a useful model to explore such regulation. We hypothesize that lack of BCAA catabolism elevates intracellular Leu concentrations, thereby driving the increase in protein synthesis, while a deficiency of certain metabolites of BCAA catabolism leads to elevated protein degradation in mice lacking BCATm. This is in agreement with a study showing KIC but not Leu infusions significantly lowered the negative N balance and 3-methylhistidine excretion in postoperative patients (Sapir et al., 1983). Similarly, it has been reported that KIC but not Leu decreases the N wasting of starvation (Mitch et al., 1981). While the mechanisms underlying the marked improved insulin sensitivity and glucose tolerance remains undetermined, increased insulin sensitivity can contribute to elevated protein synthesis in these mice. Because enhanced protein turnover consumes a large amount of ATP, it is conceivable that ATP production from substrate oxidation in mitochondria could be elevated. Indeed, we have found that the mitochondrial membrane potential was significantly increased in cultured primary fibroblasts from BCATm null neonates (unpublished data, also inconsistent with mitochondrial uncoupling). Furthermore, enhanced insulin sensitivity in these mice could lead to increased mitochondrial oxidative capacity. It has been reported that insulin stimulates mitochondrial oxidative phosphorylation in skeletal muscle associated with synthesis of mitochondrial gene transcripts and protein in human subjects (Stump et al., 2003). While it seems counterintuitive that elevated mTOR signaling would be associated with improved insulin signaling, we have found that Leu and KIC, but not insulin stimulated phosphorylation of S6K1 is largely abolished in isolated fat cells, cultured primary fibroblasts, and perfused hearts lacking BCATm (unpublished data). While further studies are needed to determine the mechanism of these changes, the increased insulin sensitivity in BCATm−/− mice is consistent with the S6K1−/−mice (Um et al., 2004). In summary, we have clearly demonstrated that deletion of BCATm leads to activation of a protein turnover futile cycle that is associated with elevated energy expenditure and improved insulin sensitivity. Since BCAA metabolism is blocked in BCATm−/− mice, the effects of BCATm gene disruption may not be same as those of high protein diet and dietary BCAA supplements. Nevertheless, given that humans and animals can tolerate much higher dose of BCAA supplements (Baker, 2005; Fernstrom, 2005), our study suggests that BCATm may be a suitable peripheral therapeutic target for obesity. Experimental Procedures Animals All animal experiments were approved by the IACUC at the Pennsylvania State University College of Medicine. Animals were given free access to water and were offered a choice of two diets, standard rodent chow (Harland Teklad 2018, Madison, Wisconsin) that has 18% protein as a percent of total weight and a defined amino acid BCAA-free diet (Dyets Inc., Bethlehem, PA that has 17% amino acids as percent of total weight). Subsequently, the rodent chow was replaced with a choice of a defined amino acid diet that had 17% amino acids including BCAA and a defined amino acid BCAA-free diet. The BCAA composition was 43%, 4% and 14% less for Leu, Ile and Val, respectively compared with the standard chow diet. Extra glutamate was added to the −BCAA diet to make it isonitrogenous to the control amino acid defined BCAA containing diet. These amino acid defined diets contained similar amount of carbohydrate, fat, vitamins and minerals compared with those in standard mouse chow. For diet-induced obesity, ~5-week wild-type and knockout mice were fed a 60% high fat diet (D12492, Research Diets, New Brunswick, NJ) for 15 weeks. Insulin sensitivity and glucose tolerance tests ITT and GTT were performed in 6-h and overnight food-deprived mice, respectively. Mice were injected intraperitoneally with insulin (human insulin from Eli Lilly) at 0.75 mU/g body weight or 20% glucose at 2.0 mg/g body weight; and blood glucose was measured at 15, 30, 60 and 120 min after injection. About 20 μl of blood was collected from the tail at each time point during GTT for measuring plasma insulin. Energy expenditure, activity, and core temperature Energy expenditure was assessed using indirect calorimetry (Oxymax, Columbus Instruments, Columbus, OH). Constant airflow (0.6 liters/min) was drawn through the chamber and monitored by a mass-sensitive flowmeter. The concentrations of oxygen and carbon dioxide were monitored at the inlet and outlet of the sealed chambers to calculate oxygen consumption and respiratory quotient. Each chamber was measured for one min at 15 min intervals. Physical activity was measured using infrared technology (OPT-M3, Columbus Instruments). The counts of three dimensional beam breaking (X total, X ambulatory, and Z) were measured. Rectal core temperature was measured using Fluke 51II thermometer with a mouse thermocouple probe (Harvard Apparatus). Body composition MRI scans were taken starting at the lungs and ending at the hips in mice using a 7T (300 MHz) MRI magnet with a 20cm bore (Biospec 70/20as, Bruker Instruments, Ettlingen, Germany). The pulse sequence used had a TR/TE = 500/12, 2 averages, 1 echo, 256×256 matrix, 4.3 cm2 FOV, 1mm slice thickness, 1mm slice distance, with a total scan time of 4 minutes for each mouse. Body fat and lean body mass was also measured using a QNMR system (Echo Medical Systems, LLC, Huston, TX). Protein synthesis and degradation Rates of protein synthesis in ad libitum fed mice were measured using the flooding-dose method to measure the incorporation of radioactive phenylalanine into protein as previously described (Lynch et al., 2002). Briefly, the mice were injected intraperitoneally with L- [3H] phenylalanine (150 mM, 30 μCi/ml, 1m/100g body wt). Fifteen minutes after injection of the radioisotope, mice were decapitated, and blood and tissue samples were collected. Plasma phenylalanine concentrations were determined by HPLC analysis of supernatants from TCA extracts of plasma. The radioactivity in the phenylalanine peak was measured to calculate plasma specific activity of [3H] phenylalanine. Frozen powdered tissue was homogenized in ice-cold 3.6% PCA and centrifuged. The supernatant was decanted; and the pellets were dissolved in 0.1 M NaOH after washing with 3.6% PCA, acetone, a mixture of chloroform-methanol and water. Aliquots were used for assays of protein and radioactivity. Urine 3-methylhistidine was measured by Scientific Research Consortium, Inc. (St. Paul, MN) using the method of Moore et al. (Moore et al., 1958) which employs post-column derivitization by ninhydrin. Real-time quantitative RT-PCR Tissue total RNA was isolated using combined reagents of Trizol (Invitrogen) and RNeasy kit (Qiagen). First strand cDNA was synthesized from 1.0 μg of total RNA the SuperScript III reverse transcription kit (Invitrogen). Quantitative RT-PCR was performed on the ABI 7900HT Sequence Detection System using needed primers and probes and TaqMan Universal PCR Master Mix (Applied Biosystems, Foster City, CA). The primers for individual genes were ordered from Applied Biosystems. ABI SDS 2.2.2 software and the 2−ΔΔCt analysis method were used to quantify relative amounts of product using β-actin as an endogenous control. Western blot analysis Standard procedures were used as described previously (Lynch et al., 2002). Briefly, aliquots of frozen powdered tissues were homogenized on ice in 7-3 volumes of a phospho-preserving homogenization buffer. Equal amounts of protein were loaded for electrophoresis and transferred to PVDF membranes. The membranes were then probed with antibodies against S6K1, 4E-BP1, (Bethyl Laboratories, Inc), pT389-S6K1, S6, pS235/236, or pT37/46 4E-BP1 (Cell Signaling). For detection of BCATm, affinity purified BCATm antibodies were used as described (Suryawan et al., 1998). Analytical procedures Plasma concentrations of glucose, triglyeride, cholesterol, urea, albumin, creatinine, and lactate were measured using a Vitros Chemistry Analyzer (Ortho-Clinical Diagnosis, New York, NY). Plasma insulin (Linco Research, Inc, St. Louise, MO) and thyroxine (Alpha Diagnostic International, TX) were measured using ELISA kits. Plasma adiponection was measured using a RIA kit (Linco Research, Inc, St. Louis, MO). Plasma concentrations of FFA (Waco Pure Chemical Industries, Osaka, Japan) and β-hydroxybutyrate (Stanbio Laboratory, Boerne, TX) were measured using commercial kits. Plasma leptin, PAI1 and resistin were measured using a LINCOplex panel (Linco Research, Inc, St. Louis, MO). Plasma norepinephrine was measured by HPLC with electrochemical detection (CoulArray system, ESA, Chelmsford, MA). A onestep ultra filtration method was used as described previously (Ueyama et al., 2003). Samples (10 μl) were injected into a 15-cm column with 3 mm bore, 3 μm C-18 packing (ESA MD-150). Plasma amino acids and branched chain α-keto acids were measured using fluorometric HPLC methods. Separation of the o-phthaldialdehyde amino acid derivatives was made by gradient elution from a Supelcosil™ LC-18 column (15cm × 4.6 mm, 3μm) (Sigma) (Wu and Knabe, 1994). Plasma α-ketoacids were derivitized with o-phenylenediamine and separation was made by gradient elution from a Spherisorb ™ ODS2 column (250mm × 4.6 mm, 5μm; Waters) (Pailla et al., 2000). Total plasma BCAA concentrations were also measured by an enzymatic method (Beckett, 2000). BCAT activity was measured as described previously (Hutson et al., 1988). Statistical analysis Two tailed non-paired t-test was used to assess the difference between the BCATm−/− and wild-type mice. Values are means ± SE, and P < 0.05 was considered significantly different. 01 Click here to view.(836K, pdf) Acknowledgments We thank Dr Charles Lang, Beth Halle, Heng Liu and Michelle Bryan for technical assistance. We also thank Dr. Thomas Gettys (Pennington Biomedical Research Center, Baton Rouge, LA) for generously providing UCP standards and antibodies. This study was supported by NIH DK053843 (CJL), NIHDK062880 (CJL), NIH GM 39722 (TCV), NIH AA-12814 (TCV), NIH DK34738 (SMH), and NIH NS 038641 (SMH). Footnotes Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. References
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Nature. 2000 Apr 6; 404(6778):652-60.
[Nature. 2000]J Am Coll Nutr. 2004 Oct; 23(5):373-85.
[J Am Coll Nutr. 2004]Nutr Metab (Lond). 2004 Aug 18; 1(1):5.
[Nutr Metab (Lond). 2004]J Am Coll Nutr. 2002 Feb; 21(1):55-61.
[J Am Coll Nutr. 2002]Obesity (Silver Spring). 2007 May; 15(5):1215-25.
[Obesity (Silver Spring). 2007]J Clin Invest. 1975 Nov; 56(5):1250-61.
[J Clin Invest. 1975]J Biol Chem. 1975 Jan 10; 250(1):290-8.
[J Biol Chem. 1975]J Nutr. 2006 Jan; 136(1 Suppl):227S-31S.
[J Nutr. 2006]J Biol Chem. 1982 Feb 25; 257(4):1613-21.
[J Biol Chem. 1982]Science. 2006 May 12; 312(5775):927-30.
[Science. 2006]Endocrinology. 2005 Mar; 146(3):1473-81.
[Endocrinology. 2005]Cell Metab. 2006 Jun; 3(6):393-402.
[Cell Metab. 2006]Nature. 2004 Sep 9; 431(7005):200-5.
[Nature. 2004]N Engl J Med. 1969 Oct 9; 281(15):811-6.
[N Engl J Med. 1969]Biochem Int. 1991 Dec; 25(5):797-806.
[Biochem Int. 1991]J Biol Chem. 1992 Aug 5; 267(22):15681-6.
[J Biol Chem. 1992]Am J Clin Nutr. 1998 Jul; 68(1):72-81.
[Am J Clin Nutr. 1998]Am J Physiol Endocrinol Metab. 2004 Jan; 286(1):E64-76.
[Am J Physiol Endocrinol Metab. 2004]Am J Physiol Endocrinol Metab. 2003 Oct; 285(4):E854-63.
[Am J Physiol Endocrinol Metab. 2003]Am J Physiol Endocrinol Metab. 2004 Jan; 286(1):E64-76.
[Am J Physiol Endocrinol Metab. 2004]J Nutr. 1989 May; 119(5):677-89.
[J Nutr. 1989]Am J Clin Nutr. 1998 Jul; 68(1):72-81.
[Am J Clin Nutr. 1998]Cell Metab. 2005 Aug; 2(2):85-93.
[Cell Metab. 2005]J Biol Chem. 1965 Mar; 240():1427-36.
[J Biol Chem. 1965]Biosci Rep. 2001 Apr; 21(2):139-54.
[Biosci Rep. 2001]J Nutr. 2000 Oct; 130(10):2413-9.
[J Nutr. 2000]Fed Proc. 1978 Jul; 37(9):2291-300.
[Fed Proc. 1978]J Nutr. 2000 Oct; 130(10):2413-9.
[J Nutr. 2000]Am J Physiol Endocrinol Metab. 2006 Sep; 291(3):E621-30.
[Am J Physiol Endocrinol Metab. 2006]J Nutr. 1997 Jun; 127(6):1156-9.
[J Nutr. 1997]Physiol Rev. 1997 Jul; 77(3):731-58.
[Physiol Rev. 1997]Biochem J. 1995 Nov 15; 312 ( Pt 1)():163-7.
[Biochem J. 1995]Proc Nutr Soc. 1982 Jun; 41(2):155-9.
[Proc Nutr Soc. 1982]Biochem J. 1982 May 15; 204(2):393-8.
[Biochem J. 1982]Endocr Rev. 2006 Dec; 27(7):728-35.
[Endocr Rev. 2006]Nature. 2000 Apr 6; 404(6778):652-60.
[Nature. 2000]Nature. 1997 May 1; 387(6628):90-4.
[Nature. 1997]J Clin Invest. 2003 Feb; 111(3):399-407.
[J Clin Invest. 2003]FASEB J. 2005 Jun; 19(8):977-9.
[FASEB J. 2005]J Biol Chem. 2003 Aug 8; 278(32):29385-8.
[J Biol Chem. 2003]Nature. 1997 May 1; 387(6628):94-7.
[Nature. 1997]Science. 2006 May 12; 312(5775):927-30.
[Science. 2006]Mol Biol Cell. 2000 May; 11(5):1919-32.
[Mol Biol Cell. 2000]Lancet. 1983 May 7; 1(8332):1010-4.
[Lancet. 1983]J Clin Invest. 1981 Feb; 67(2):553-62.
[J Clin Invest. 1981]Proc Natl Acad Sci U S A. 2003 Jun 24; 100(13):7996-8001.
[Proc Natl Acad Sci U S A. 2003]Nature. 2004 Sep 9; 431(7005):200-5.
[Nature. 2004]J Nutr. 2005 Jun; 135(6 Suppl):1585S-90S.
[J Nutr. 2005]J Nutr. 2005 Jun; 135(6 Suppl):1539S-46S.
[J Nutr. 2005]Am J Physiol Endocrinol Metab. 2002 Oct; 283(4):E824-35.
[Am J Physiol Endocrinol Metab. 2002]Am J Physiol Endocrinol Metab. 2002 Oct; 283(4):E824-35.
[Am J Physiol Endocrinol Metab. 2002]Am J Clin Nutr. 1998 Jul; 68(1):72-81.
[Am J Clin Nutr. 1998]J Nutr. 1994 Mar; 124(3):415-24.
[J Nutr. 1994]Clin Chem. 2000 Jun; 46(6 Pt 1):848-53.
[Clin Chem. 2000]J Biol Chem. 1988 Mar 15; 263(8):3618-25.
[J Biol Chem. 1988]