![]() | ![]() |
Formats:
|
||||||||||||||||||||
Copyright © 2008, The American Society for Biochemistry and Molecular Biology, Inc. CD36-dependent Regulation of Muscle FoxO1 and PDK4 in the PPARδ/β-mediated Adaptation to Metabolic Stress* ‡Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63110, the §Department of Biology, Western Carolina University, Cullowhee, North Carolina 28723, ¶Inserm U636, Université de Nice-Sophia Antipolis, Centre de Biochimie, Parc Valrose, UFR Sciences, Nice F-06108, France, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, and the **Life Sciences Division, Ernest O. Lawrence Berkeley National Laboratory, Berkeley, California 942701 To whom correspondence should be addressed: Campus Box 8031, Washington University School of Medicine, St Louis, MO 63110. E-mail: znahle/at/im.wustl.edu. Received August 6, 2007; Revised February 21, 2008. This article has been cited by other articles in PMC.Abstract The transcription factor FoxO1 contributes to the metabolic adaptation to fasting by suppressing muscle oxidation of glucose, sparing it for glucose-dependent tissues. Previously, we reported that FoxO1 activation in C2C12 muscle cells recruits the fatty acid translocase CD36 to the plasma membrane and increases fatty acid uptake and oxidation. This, together with FoxO1 induction of lipoprotein lipase, would promote the reliance on fatty acid utilization characteristic of the fasted muscle. Here, we show that CD36-mediated fatty acid uptake, in turn, up-regulates protein levels and activity of FoxO1 as well as its target PDK4, the negative regulator of glucose oxidation. Increased fatty acid flux or enforced CD36 expression in C2C12 cells is sufficient to induce FoxO1 and PDK4, whereas CD36 knockdown has opposite effects. In vivo, CD36 loss blunts fasting induction of FoxO1 and PDK4 and the associated suppression of glucose oxidation. Importantly, CD36-dependent regulation of FoxO1 is mediated by the nuclear receptor PPARδ/β. Loss of PPARδ/β phenocopies CD36 deficiency in blunting fasting induction of muscle FoxO1 and PDK4 in vivo. Expression of PPARδ/β in C2C12 cells, like that of CD36, robustly induces FoxO1 and suppresses glucose oxidation, whereas co-expression of a dominant negative PPARδ/β compromises FoxO1 induction. Finally, several PPRE sites were identified in the FoxO1 promoter, which was responsive to PPARδ/β. Agonists of PPARδ/β were sufficient to confer responsiveness and transactivate the heterologous FoxO1 promoter but not in the presence of dominant negative PPARδ/β. Taken together, our findings suggest that CD36-dependent FA activation of PPARδ/β results in the transcriptional regulation of FoxO1 as well as PDK4, recently shown to be a direct PPARδ/β target. FoxO1 in turn can regulate CD36, lipoprotein lipase, and PDK4, reinforcing the action of PPARδ/β to increase muscle reliance on FA. The findings could have implications in the chronic abnormalities of fatty acid metabolism associated with obesity and diabetes. Fatty acids (FAs)2 supply a major fraction of the energy required for muscle function and contribute to the intricate regulation of muscle glucose utilization. However, excess FA or diminished FA oxidation can lead to chronic accumulation of metabolites that impair insulin responsiveness of glucose utilization (1, 2). Several reports have implicated high sarcolemmal levels of the FA translocase CD36 and persistently increased FA uptake in muscle insulin resistance (3–6). CD36 facilitates a large fraction of FA uptake by muscle (7), impacting glucose metabolism and insulin sensitivity (3, 8, 9). Muscle CD36 protein levels are modulated by insulin, leptin, resistin, contraction, obesity, and diabetes (3, 10). In addition, CD36 is induced by the PPAR transcription factors (11, 12), which function as nutrient sensors and metabolic regulators (13, 14). CD36-facilitated FA flux may in turn be a part of a feedback loop activating the PPARs; CD36 deficiency reverses myocardial lipotoxicity and functional impairments of the heart caused by PPARα overexpression (15). CD36 expression is also important for PPARγ activation by dietary fat in adipose tissue (16). Optimal functioning and insulin responsiveness of muscle are linked to its ability to adjust fuel preference, suppressing glucose utilization, with more reliance on FA during nutrient shortage, and rapidly reversing these changes with feeding. The fasting/feeding adaptation is impaired in obesity and diabetes, described as diseases of metabolic inflexibility (17–19). Several pathways contribute to the fasting/feeding response, notably those involving the PPARs and the AMP-activated protein kinase (AMPK). The major PPAR isoform in muscle, PPARδ/β, regulates FA catabolism and plays a central role in the adaptation to fasting (20). AMPK, on the other hand, is activated by an increase in the AMP/ATP ratio, a sensitive indicator of cellular energy, and functions to restore ATP levels by enhancing oxidation of glucose and FA (21). AMPK activation is especially important for the exercising muscle. Recent evidence supports involvement of the transcription factor FoxO1 (Forkhead box O1A) in regulating the adaptive metabolism of muscle. FoxO1 is activated by nutrient shortage and inhibited by insulin/growth factor signaling (22, 23). Inhibition of FoxO1 activity mediates many effects of insulin on gene expression (24–26). Fasting activates muscle FoxO1, contributing to induction of PDK4 (pyruvate dehydrogenase kinase 4) (27), which then phosphorylates and inactivates pyruvate dehydrogenase (28). This inhibits pyruvate transition to acetyl-CoA and glucose oxidation. Although pyruvate dehydrogenase is acutely inhibited by FA oxidation products (high NADH/NAD+ and acetyl-CoA/CoA), chronically it is inactivated by PDK4. In addition to fasting, muscle PDK4 is increased by high fat diets (29), diabetes, and obesity, suggesting that it is a “lipid status” pyruvate dehydrogenase kinase isoform that facilitates FA oxidation (30). As FoxO1 induces PDK4 to suppress glucose oxidation, it also acts to increase sarcolemmal content of CD36, enhancing FA uptake and oxidation (31). FoxO1 also suppresses expression of acyl-CoA carboxylase (ACC), which reduces levels of the FA oxidation inhibitor malonyl-CoA. Thus, FoxO1 contributes to regulating muscle glucose and FA preference during fasting-feeding. Many pathways integrate feedback loops that optimize long term regulation (32–34), so we asked whether regulation of muscle FoxO1 and PDK4 was in turn responsive to CD36 function. This would be consistent with the reportedly high levels of CD36 (5, 35, 36) and PDK4 in diabetic muscle (29). We examined how CD36 overexpression or knockdown impact FoxO1 level, ability to induce PDK4, and muscle adaptation to fasting. Using in vitro and in vivo systems where expression of CD36, FoxO1, and PPARδ/β was manipulated, we document that CD36-facilitated FA uptake via regulating PPARδ/β and FoxO1 positively reinforces muscle FA utilization. This provides a potential mechanism by which FA uptake can chronically alter muscle bioenergetics. EXPERIMENTAL PROCEDURES Mouse Models—CD36-null (37) mice and mice with muscle-targeted CD36 overexpression (MCK-CD36) (9) (overexpressing CD36 in skeletal and heart muscles) were crossed five times to the C57Bl/6 background. PPARδ/β-null (38) mice were on average 75% C57BL/6N. MKR mice (overexpressing a dominant-negative IGF-I receptor in muscle) and MKR-CD36 mice (bigenic, expressing muscle-specific CD36 on the MKR background) were on a FVB/N background. Sample Preparation and Protein Analysis—Hearts were excised immediately after mice sacrifice, minced, and homogenized on ice (Fisher PowerGen 125) in SDS sample buffer (60 mm Tris-HCl at pH 6.8, 10% glycerol, 2% SDS, 5% 2-mercapto-ethanol) followed by boiling for 5 min. Protein concentration was quantified (Bio-Rad), and 30 μg of lysate were resolved by SDS-PAGE and transferred to Immobilon-P (Millipore, Billerica, MA) membranes, which were blotted with the appropriate antibodies: FoxO1 (1:1000; 9462; Cell Signaling Technology, Danvers, MA), Phospho-FoxO1 (1:1000; 9461, Cell Signaling Technology), PDK4 (dilution 1:1000; AP7041b; Abgent, San Diego, CA), AKT (1:1000; 9272; Cell Signaling Technology), phospho-AKT Ser473 (1:1000; 9271), phospho-SPAK/JNK (1:500, Thr183/Tyr185; 9255; Cell Signaling Technology), p53 (1:1000, CM5p, Novocastra), Ran (1:2000; sc-1156, Santa Cruz Biotechnology, Inc., Santa Cruz, CA), α-tubulin (1:2000; B-5-1-2; Sigma). Anti-mouse horseradish peroxidase (1858413; Amersham Biosciences), and anti-rabbit horseradish peroxidase (1858415; Amersham Biosciences) were used as secondary antibodies. Signal was visualized using ECL detection (RPN 2132; Amersham Biosciences). Membrane CD36 Content—Hearts were dissected from fed (n = 3) and fasted (n = 3) mice and homogenized in 1.5 ml of buffer (100 mm KCl, 50 mm Tris, 5 mm NaN3, 100 μm phenylmethylsulfonyl fluoride, pH 7.4) on ice three times for 15 s. An aliquot of homogenate (0.2 ml) was frozen in liquid nitrogen for protein analysis, and the remainder was centrifuged at 4 °C for 10 min (800 × g) and then at 9000 × g to pellet out nuclei and mitochondria. A crude membrane fraction was then obtained by centrifugation at 4 °C for 1 h (190,000 × g) and was resuspended in 0.1 ml of buffer. Protein concentration in heart homogenate and plasma membranes using a modified Bradford assay (DC Protein Assay; Bio-Rad). For Western blotting, 40 μg of plasma membrane were processed by 10% SDS-PAGE and electroblotted onto a polyvinylidene difluoride membrane (Whatman, Florham, NJ). Membranes were incubated with monoclonal antibody CD36 (1:1500; Cascade Biosciences, Winchester, MA) or monoclonal antibody glyceraldehyde-3-phosphate dehydrogenase (1:2000; Abcam, Cambridge, MA) overnight at 4 °C in 5% milk in TBST and then with secondary antibodies for 2 h at room temperature. Immunodetection was with chemiluminescence and Ultra Blue Autorad Film (ISC Bioexpress, Kaysville, UT). glyceraldehyde-3-phosphate dehydrogenase was the loading control. Real Time PCR Analysis—Total RNA was isolated from tissues and cells using Trizol (Invitrogen) as recommended by the manufacturer. RNA pellets were washed in 75% ethanol, dried at room temperature, and resuspended in UltraPure distilled water (Invitrogen), and content was quantified by spectrophotometry. Samples were amplified using the Superscript III Platinum SYBR Green one-step quantitative reverse transcription-PCR kit (Invitrogen) on the SmartCycler system (Cepheid, Sunnyvale, CA). Results were analyzed by comparing the threshold crossing (Ct) of each sample after normalization to control genes (ΔCt). Changes in the threshold crossing (ΔCt) were used to calculate relative levels of each mRNA using the formula 2–ΔCt. The intron-spanning primer pairs used for amplification were as follows: 18 S, AGTCCCTGCCCTTTGTACACA and GATCCGAGGGCCTCACTAAAC; FoxO1, CTGGGTGTCAGGCTAAGAGT and GGGGTGAAGGGCATCTTT; PDK4, TTTCTCGTCTCTACGCCAAG and GATACACCAGTCATCAGCTTCG; UCP3 (uncoupling protein 3), CAGAGGGACTATGGATGCCTAC and AGGTGAGACTCCAGCAACTTCT; UCP2, TCCACGCAGCCTCTACAAT and GACCTTTACCACATCTGTAGGC; ADRP, GTGGAAAGGACCAAGTCTGTG and GACTCCAGCCGTTCATAGTTG; PPRδ/β, AGATGGTGGCAGAGCTATGACC and TCTCCTCCTGTGGCTGTTCC. Cell Culture—C2C12 myoblasts were maintained in low glucose Dulbecco's modified Eagle's medium supplemented with 10% fetal bovine serum, 200 units/ml penicillin, and 50 μg/ml streptomycin. Confluent myoblasts (90% confluence) were differentiated into myotubes by switching cells to Dulbecco's modified Eagle's medium supplemented with 1% horse serum, 200 units/ml penicillin, and 50 μg/ml streptomycin. Polynucleated myotubes were obtained within 4 days. For FA treatment and FA time course, C2C12 myoblasts were incubated with oleic acid (400 μm acid, FA/BSA = 1:1) for 16 h. In some experiments, wortmannin (9951; Cell Signaling) was added (500 nm) to inhibit PI 3-kinase, N-Ac-Leu-Leu-norleucinal (40 mm) to inhibit proteosomal activity and cycloheximide (CHX) (10 μg/ml) to inhibit protein synthesis. Retroviral Infection and RNA Interference (Short Hairpin RNA)—RNA sequences were designed using the Cold Spring Harbor Laboratory RNAi OligoRetriever data base and pSHAG vectors. Retroviral constructs with drug-selectable markers were transfected into Phoenix packaging cells using calcium phosphate. High titer viruses were used to infect cells (39, 40). Retroviruses encoding shCD36 were generated as described (41). Glucose Oxidation—For glucose oxidation, U-14C-labeled glucose was used, and the amount oxidized was evaluated by measuring 14CO2 production as described (31). Cells were washed three times with Krebs Ringer Hepes containing 40 μm FA-free BSA and incubated for 1–2 h in the same buffer containing [U-14C]glucose (1 μCi/80 μm). 14CO2 trapping, using flasks with wells containing benzethonium hydroxide-soaked filters, was overnight at 30 °C. Fatty Acid Uptake—Cells were washed with Krebs Ringer Hepes buffer with 0.5% FA-free BSA, and uptake was started by the addition of transport buffer (Krebs Ringer Hepes with 80 μm [3H]palmitate; 0.5 μCi/ml; FA/BSA ratio 0.5–2). Uptake was performed at room temperature and stopped by the addition of cold buffer. Cells were lysed in 0.1 n NaOH, and aliquots were used for determining total counts, for protein assay (Life Science Research, Hercules, CA), and for FA incorporation into cell lipids. Bionformatic Analysis of FoxO1 Promoter—mRNA sequences of mouse FoxO1 (NM_019739) were retrieved from NCBI and the proximal promoter sequence ((–700,+300) about the transcription start site) was obtained from the CSHLmpd mammalian promoter data base (42). The MATCH program associated with the TRANSFAC data base (43), which minimizes the false negative rate, was used to identify the potential PPRE. Luciferase Assay—Genomic fragments corresponding to the mouse FoxO1 promoter were amplified by PCR from mouse genomic DNA using sequence-specific primers (available upon request) to introduce KpnI/XhoI restriction sites. After purification and digestion cycles, amplicons were cloned into the pGL3-Basic luciferase reporter vector (Promega, Madison, WI) at KpnI/XhoI sites. C2C12 cells were transfected using Lipofectamine 2000 (Invitrogen) as per the manufacturer's instructions with 1 μg of the reporter construct, 200 ng of the PPARδ/β expression plasmid or a vector control, and 1.2 μg of the pRL-β-globin control plasmid (Promega). Cells were harvested 36 h after transfection (or as indicated). PPARδ/β agonist GW0742 was used at 40–120 nm. Luciferase activity, assayed using a luminometer (Promega 20/20) was normalized to the control pRL-β-globin. Statistical Analysis—Values shown are means ± S.E. Differences were analyzed for statistical significance (p < 0.05) by Student's t test, one-way analysis of variance, or, in some cases, repeated measures analysis of variance. All experiments were repeated at least three times and included a minimum of three biological samples. RESULTS Long Chain FAs Up-regulate FoxO1 Expression in Muscle Cells—Excessive FA influx inhibits glucose utilization in muscle and contributes to the development of insulin resistance. We determined the effects of oleic acid on muscle glucose oxidation in C2C12 myoblasts. Fig. 1A
Effect of CD36 on FoxO1 Level and Activation—Fatty acid transfer into muscle in vivo is facilitated in large part by the membrane protein CD36 (7, 45). Previously, we reported that enforced expression of CD36 in C2C12 muscle cells increases FA uptake and oxidation (46). We examined the effects of CD36 overexpression in these cells on FoxO1 levels. Fig. 2A
Contribution of CD36 to Fasting Induction of FoxO1 and PDK4—Short term fasting in muscle is characterized by reduced glucose utilization and by increased reliance on FA (17). FoxO1 expression in muscle is enhanced by fasting (27), and FoxO1 activation in muscle cells increases membrane CD36 content and promotes FA uptake and oxidation (31). We examined the adaptation to fasting and the contribution of CD36 in several relevant mouse models. As shown in Fig. 3A
The role for CD36 in FoxO1 regulation in vivo was confirmed in another mouse model of altered CD36 expression in muscle, the double transgenic MKR-CD36. The MKR mouse has impaired IGF and insulin signaling in muscle as a result of muscle-targeted expression of a dominant negative IGF-1 receptor that hybridizes with both the IGF and insulin receptors (47). The mouse exhibits reduced IGF-1 and insulin-stimulated glucose uptake in muscle and global insulin resistance. This mouse was also shown to have reduced muscle FA oxidation with enhanced accumulation of intramuscular triglycerides. Muscle-targeted CD36 overexpression in the MKR enhanced FA oxidation, reduced muscle lipid accumulation, and was associated with a reversal of the diabetes (47). To determine whether some of the defects in muscle FA metabolism in the MKR mouse may reflect an abnormal CD36-FoxO1 interaction, we examined muscle FoxO1 levels in MKR and MKR/CD36 mice. As shown in Fig. 3G Kinetics for FA Induction of FoxO1 and PDK4—We and others reported that FoxO1 is sufficient to induce PDK4 (27, 31). Binding of FoxO1 to the PDK4 promoter was suggested in C2C12 cells (27). To gain further insight into the FoxO1 regulation of PDK4, C2C12 cells expressing exogenous FoxO1 fused to a modified estrogen receptor (FoxO1:ER) were used. In this cell system, the FoxO1 protein is relocated to the nucleus by hydroxytamoxifen treatment (31). We tested whether induction of PDK4 mRNA is altered in presence of CHX, an inhibitor of protein biosynthesis that blocks translational elongation. If PDK4 induction is a direct result of FoxO1 transcriptional activity, it will not be affected by CHX in this system. C2C12 myoblasts stably expressing FoxO1:ER were treated with hydroxytamoxifen for 8 h in the presence or absence of CHX. As shown in Fig. 4A
To further understand how FAs regulate the interaction of FoxO1 and PDK4 in muscle cells, we determined the changes in mRNA and protein expression for FoxO1 and PDK4 as a function of time following FA treatment. We first confirmed that PDK4, like FoxO1, is induced in response to FA (Fig. 4B PPARδ/β Contributes to FA Regulation of FoxO1 in Vivo—Free FAs and their derivatives are activating ligands for the PPAR transcription factors (50, 51). Recent data in heart (15) and adipose tissue (16) suggest that CD36-facilitated FA uptake is linked to PPAR activation. PPARδ/β expression in skeletal muscle is high, favoring oxidative fibers (52, 53), and this isoform has been implicated in regulating FA oxidation and in muscle adaptation to fasting (54). Importantly, a new report showed that the PPARδ/β isoform regulates PDK4 expression via a direct transcriptional mechanism (55). In addition, the PPARδ/β targets ADRP and UCP2 were elevated early after FA addition to C2C12 cells, as shown in Fig. 4F
PPARδ/β Is Sufficient to Induce FoxO1 and Inhibits Glucose Oxidation—We confirmed that the PPARδ/β targets are induced in C2C12 cells, where FoxO1 and PDK4 are elevated in response to FA treatment. As shown in Fig. 6
PPARδ/β Regulates FoxO1 through a Transcriptional Mechanism—The mechanism of PPARδ/β regulation of FoxO1 was examined further. To determine whether the FoxO1 promoter contains PPRE binding sites, the MATCH program associated with the TRANSFAC data base of cis-regulatory motifs (56) was used. This unbiased approach identifies transcription factor binding sites on the basis of position weight matrices constructed from previously characterized binding sites and assigns scores for similarity between a candidate site and the position weight matrices. As show in Fig. 7, A and B
DISCUSSION Muscle tissue accounts for one-third of the resting metabolic rate and for a major fraction of insulin-stimulated glucose uptake. Thus, its flexibility with respect to fuel preference is crucial for glucose homeostasis. In insulin resistance, muscle adaptation to fasting and feeding appears dysfunctional, with features of the fasted state, such as enhanced FA utilization, persisting into the fed state (19). A better understanding of the molecular mechanisms mediating normal muscle adaptation may provide insight into the etiology of metabolic diseases. This study shows that CD36-facilitated FA uptake modulates PPARδ/β and FoxO1 function to reinforce muscle reliance on FA and the adaptation to fasting. First, CD36 overexpression or knockdown in vitro correlates with FoxO1 and PDK4. Second, CD36 deficiency or overexpression, in vivo, has opposite effects on fasting induction of FoxO1 and PDK4, which are paralleled with altered substrate utilization. Third, regulatory effects of CD36-FA uptake on FoxO1 and PDK4 involve PPARδ/β as shown by its overexpression or knockdown in vitro and by its deletion in vivo. Fourth, FA activated PPARδ/β directly induces FoxO1 expression. The data suggest that CD36/FA uptake in fasting up-regulates PPARδ/β activity, levels, and activity of FoxO1 and PDK4. As a result it contributes to determining muscle fuel preference and ability to adapt to metabolic stress. The FoxO1 transcription factor has been implicated in regulating various aspects of cellular metabolism (57–59). In the liver, FoxO1 suppresses glycolysis and lipogenesis while increasing gluconeogenesis (60, 61). In muscle, fasting up-regulates FoxO1, which contributes to induction of PDK4, inhibiting glucose oxidation (27). FoxO1 activation also recruits CD36 to the sarcolemma (31) and induces lipoprotein lipase (62) to coordinately increase FA uptake. Regulation of FoxO1 appears to integrate several signaling inputs. Post-translational modifications that acutely alter the FoxO1 proteins are the most understood events (63). Among these, the role of JNK (activation) and AKT (inhibition) in FoxO1 regulation are well documented (23). However, the mechanisms that may promote increased steady state FoxO1 levels, as documented with fasting or diabetes, remain poorly defined. One of the findings of this study is that FoxO1 level is sensitive to increased CD36-facilitated FA flux. Since FoxO1 promotes enrichment of membrane CD36, the ensuing enhancement in FA uptake is probably maintained via positive feedback regulation of both FoxO1 activity (via AKT inactivation and JNK activation) and expression (via PPARδ/β). Thus, it is conceivable that conditions that chronically change muscle CD36 content would alter the adaptive response of FoxO1 and PDK4 to metabolic challenges, which may relate to how FAs induce muscle insulin resistance. In this context, the CD36-null mouse where FA uptake into muscle is impaired has blunted fasting induction of muscle FoxO1 and PDK4 (Figs. (Figs.33 Our findings indicate that PPARδ/β, an FA-activated nuclear receptor, induces transcription of FoxO1, and loss-of-function experiments in vitro and in vivo (PPARδ/β-null mouse) demonstrate its pivotal role in FoxO1 regulation. Recent evidence shows that PDK4 is also a direct target of PPARδ/β (55), further supporting the primary role of this isoform in regulating muscle oxidative metabolism. Activation of PPARδ/β in muscle induces a fasting-like phenotype characterized by increased FA oxidation and suppressed glucose oxidation (65). This phenotype is similar to that induced by FoxO1, which together with our data suggests that some PPARδ/β effects in muscle may be mediated via FoxO1. This would be consistent with the report that PPARδ/β agonists initiate a muscle atrophy program (66) that is regulated by the PI 3-kinase/AKT/FoxO1 pathway (67). It is important to emphasize that findings of this study, especially results described in Fig. 4
Conceivably, some metabolic effects of CD36 facilitated FA flux in the fasted muscle may involve the AMPK pathway, which contributes to adaptive regulation of muscle glucose and FA oxidation. We did not detect changes in levels of phosphorylated AMPK or ACC in response to CD36 deletion (data not shown). However, this does not rule out a role for AMPK, since FA flux may alter the interaction between PPARδ/β and AMPK (68), which was not examined. FA effects on the interaction of PPARδ/β and PGC-1α, which plays a key role in regulating mitochondrial biogenesis and oxidative capacity (13, 69, 70), were also not considered and will need to be examined. Our data, which focused on PPARδ/β, do not rule out contribution of PPARα to the observed effects of FA, and there is evidence for significant redundancy in the regulatory effects of the two isoforms in muscle (71). Of note, although fasting induction of PDK4 is unaltered in skeletal muscle or slightly reduced in heart from PPARα-null mice (71), it is markedly blunted in both tissues of the PPARδ/β-null mouse (Fig. 5 In conclusion, the functional interplay between CD36, a major FA uptake protein in muscle, PPARδ/β, FoxO1, and PDK4, key modulators of glucose and FA metabolism provides a framework for long term regulation of muscle fuel preference. Dysfunction in either of these factors by virtue of their interdependence would lead to an abnormal metabolic profile and alter adaptability of the tissue to energy challenges. Suppressing CD36 expression and hence reducing FA flux could improve metabolism of insulin-resistant muscle by restoring regulation of PDK4 and ability to oxidize glucose. Although this has not been directly tested, it would be consistent with the phenotypes of the CD36-null (64) or the transgenic MCK-CD36 mice (9). However, in certain contexts, enforced CD36 expression may have beneficial effects in activating PPARδ/β to promote FA uptake and oxidation, as in the MKR muscle (47). Activation of PPARδ/β can improve muscle FA oxidation and the plasma lipid profile and has insulin-sensitizing effects (72). The fact that CD36 overexpression is beneficial in the context of absent insulin and IGF-1 signaling (MKR) suggests that glucose metabolism and insulin action may contribute to the long term negative effects of excess FA flux by inhibiting FA oxidation (73–75). The ensuing imbalance between FA uptake and oxidation would predispose to insulin resistance and is consistent with the findings that insulin-resistant muscle exhibits impaired FA oxidation (76–78). Thus, therapies targeting CD36 or PPARδ/β would have to carefully consider the context involved. Acknowledgments We thank Dr. Scott Lowe for helpful comments and for providing RNAi reagents, Drs. Peters and Gonzalez for the PPARδ/β-null mice, and Dr. Unterman for the FoxO1:ER construct. We also thank Drs. Sheila Stewart, Brian Finck, and Vivek Mittal for critical comments. Tim Schappe provided technical assistance. Notes *This work was supported, in whole or in part, by National Institutes of Health Grant DK33301 (to N. A.). This work was also supported by an American Heart Association grant-in-aid award (to Z. N.), a grant from the Phillip Morris External Research Program (to N. A. and Z. N.), and Clinical Nutrition Research Unit Grant DK56351. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Footnotes 2The abbreviations used are: FA, fatty acid; PPAR, peroxisome proliferator-activated receptor; ADRP, adipose differentiation-related protein; AMPK, AMP-activated protein kinase; ACC, acyl-CoA carboxylase; PI, phosphatidylinositol; CHX, cycloheximide; BSA, bovine serum albumin; PPRE, peroxisome proliferator-responsive element; WT, wild type; IGF, insulin-like growth factor; RNAi, RNA interference; Q-PCR, quantitative PCR. References 1. Delarue, J., and Magnan, C. (2007. ) Curr. Opin. Clin. Nutr. Metab. Care 10 142–148 [PubMed] 2. Holland, W. L., Knotts, T. A., Chavez, J. A., Wang, L. P., Hoehn, K. L., and Summers, S. A. (2007. ) Nutr. Rev. 65 (suppl.) 39–46 [PubMed] 3. Bonen, A., Benton, C. R., Campbell, S. E., Chabowski, A., Clarke, D. C., Han, X. X., Glatz, J. F., and Luiken, J. J. (2003. ) Acta Physiol. Scand. 178 347–356 [PubMed] 4. Coort, S. L., Hasselbaink, D. M., Koonen, D. P., Willems, J., Coumans, W. A., Chabowski, A., van der Vusse, G. J., Bonen, A., Glatz, J. F., and Luiken, J. J. (2004. ) Diabetes 53 1655–1663 [PubMed] 5. Greenwalt, D. E., Scheck, S. H., and Rhinehart-Jones, T. (1995. ) J. Clin. Invest. 96 1382–1388 [PubMed] 6. Luiken, J. J., Arumugam, Y., Dyck, D. J., Bell, R. C., Pelsers, M. M., Turcotte, L. P., Tandon, N. N., Glatz, J. F., and Bonen, A. (2001. ) J. Biol. Chem. 276 40567–40573 [PubMed] 7. Coburn, C. T., Knapp, F. F., Jr., Febbraio, M., Beets, A. L., Silverstein, R. L., and Abumrad, N. A. (2000. ) J. Biol. Chem. 275 32523–32529 [PubMed] 8. Hajri, T., Han, X. X., Bonen, A., and Abumrad, N. A. (2002. ) J. Clin. Invest. 109 1381–1389 [PubMed] 9. Ibrahimi, A., Bonen, A., Blinn, W. D., Hajri, T., Li, X., Zhong, K., Cameron, R., and Abumrad, N. A. (1999. ) J. Biol. Chem. 274 26761–26766 [PubMed] 10. Palanivel, R., and Sweeney, G. (2005. ) FEBS Lett. 579 5049–5054 [PubMed] 11. Chawla, A., Barak, Y., Nagy, L., Liao, D., Tontonoz, P., and Evans, R. M. (2001. ) Nat. Med. 7 48–52 [PubMed] 12. Moore, K. J., Rosen, E. D., Fitzgerald, M. L., Randow, F., Andersson, L. P., Altshuler, D., Milstone, D. S., Mortensen, R. M., Spiegelman, B. M., and Freeman, M. W. (2001. ) Nat. Med. 7 41–47 [PubMed] 13. Finck, B. N. (2007. ) Cardiovasc. Res. 73 269–277 [PubMed] 14. Moller, D. E., and Berger, J. P. (2003. ) Int. J. Obes. Relat. Metab. Disord. 27 Suppl. 3, 17–21. 15. Yang, J., Sambandam, N., Han, X., Gross, R. W., Courtois, M., Kovacs, A., Febbraio, M., Finck, B. N., and Kelly, D. P. (2007. ) Circ. Res. 100 1208–1217 [PubMed] 16. Hajri, T., Hall, A. M., Jensen, D. R., Pietka, T. A., Drover, V. A., Tao, H., Eckel, R., and Abumrad, N. A. (2007. ) Diabetes 56 1872–1880 [PubMed] 17. de Lange, P., Moreno, M., Silvestri, E., Lombardi, A., Goglia, F., and Lanni, A. (2007. ) FASEB J. 21 3431–3441 [PubMed] 18. Kelley, D. E., Goodpaster, B. H., and Storlien, L. (2002. ) Annu. Rev. Nutr. 22 325–346 [PubMed] 19. Storlien, L., Oakes, N. D., and Kelley, D. E. (2004. ) Proc. Nutr. Soc. 63 363–368 [PubMed] 20. Grimaldi, P. A. (2007. ) Biochim. Biophys. Acta 1771 983–990 [PubMed] 21. Towler, M. C., and Hardie, D. G. (2007. ) Circ. Res. 100 328–341 [PubMed] 22. Nakae, J., Park, B. C., and Accili, D. (1999. ) J. Biol. Chem. 274 15982–15985 [PubMed] 23. Vogt, P. K., Jiang, H., and Aoki, M. (2005. ) Cell Cycle 4 908–913 [PubMed] 24. Farmer, S. R. (2003. ) Mol. Cell 11 6–8 [PubMed] 25. Kops, G. J., de Ruiter, N. D., De Vries-Smits, A. M., Powell, D. R., Bos, J. L., and Burgering, B. M. (1999. ) Nature 398 630–634 [PubMed] 26. Nakae, J., Kitamura, T., Ogawa, W., Kasuga, M., and Accili, D. (2001. ) Biochemistry 40 11768–11776 [PubMed] 27. Furuyama, T., Kitayama, K., Yamashita, H., and Mori, N. (2003. ) Biochem. J. 375 365–371 [PubMed] 28. Holness, M. J., and Sugden, M. C. (2003. ) Biochem. Soc. Trans. 31 1143–1151 [PubMed] 29. Sugden, M. C., and Holness, M. J. (2003. ) Am. J. Physiol. 284 E855–E862. 30. Sugden, M. C., Bulmer, K., and Holness, M. J. (2001. ) Biochem. Soc. Trans. 29 272–278 [PubMed] 31. Bastie, C. C., Nahle, Z., McLoughlin, T., Esser, K., Zhang, W., Unterman, T., and Abumrad, N. A. (2005. ) J. Biol. Chem. 280 14222–14229 [PubMed] 32. Thewke, D., Kramer, M., and Sinensky, M. S. (2000. ) Biochem. Biophys. Res. Commun. 273 1–4 [PubMed] 33. Aguilar, P. S., and de Mendoza, D. (2006. ) Mol. Microbiol. 62 1507–1514 [PubMed] 34. Wolkenhauer, O., Ullah, M., Wellstead, P., and Cho, K. H. (2005. ) FEBS Lett. 579 1846–1853 [PubMed] 35. Chabowski, A., Chatham, J. C., Tandon, N. N., Calles-Escandon, J., Glatz, J. F., Luiken, J. J., and Bonen, A. (2006. ) Am. J. Physiol. 291 E675–E682. 36. Voss, M. D., Beha, A., Tennagels, N., Tschank, G., Herling, A. W., Quint, M., Gerl, M., Metz-Weidmann, C., Haun, G., and Korn, M. (2005. ) Diabetologia 48 2622–2630 [PubMed] 37. Febbraio, M., Abumrad, N. A., Hajjar, D. P., Sharma, K., Cheng, W., Pearce, S. F., and Silverstein, R. L. (1999. ) J. Biol. Chem. 274 19055–19062 [PubMed] 38. Peters, J. M., Lee, S. S., Li, W., Ward, J. M., Gavrilova, O., Everett, C., Reitman, M. L., Hudson, L. D., and Gonzalez, F. J. (2000. ) Mol. Cell. Biol. 20 5119–5128 [PubMed] 39. Nahle, Z., Polakoff, J., Davuluri, R. V., McCurrach, M. E., Jacobson, M. D., Narita, M., Zhang, M. Q., Lazebnik, Y., Bar-Sagi, D., and Lowe, S. W. (2002. ) Nat. Cell Biol. 4 859–864 [PubMed] 40. Holst, D., Luquet, S., Kristiansen, K., and Grimaldi, P. A. (2003. ) Exp. Cell Res. 288 168–176 [PubMed] 41. Hernando, E., Nahle, Z., Juan, G., Diaz-Rodriguez, E., Alaminos, M., Hemann, M., Michel, L., Mittal, V., Gerald, W., Benezra, R., Lowe, S. W., and Cordon-Cardo, C. (2004. ) Nature 430 797–802 [PubMed] 42. Xuan, Z., Zhao, F., Wang, J., Chen, G., and Zhang, M. Q. (2005. ) Genome Biol. 6 R72. [PubMed] 43. Kel, A. E., Kel-Margoulis, O. V., Farnham, P. J., Bartley, S. M., Wingender, E., and Zhang, M. Q. (2001. ) J. Mol. Biol. 309 99–120 [PubMed] 44. Kitamura, T., Kitamura, Y. I., Funahashi, Y., Shawber, C. J., Castrillon, D. H., Kollipara, R., DePinho, R. A., Kitajewski, J., and Accili, D. (2007. ) J. Clin. Invest. 117 2477–2485 [PubMed] 45. Bonen, A., Dohm, G. L., and van Loon, L. J. (2006. ) Essays Biochem. 42 47–59 [PubMed] 46. Bastie, C. C., Hajri, T., Drover, V. A., Grimaldi, P. A., and Abumrad, N. A. (2004. ) Diabetes 53 2209–2216 [PubMed] 47. Heron-Milhavet, L., Haluzik, M., Yakar, S., Gavrilova, O., Pack, S., Jou, W. C., Ibrahimi, A., Kim, H., Hunt, D., Yau, D., Asghar, Z., Joseph, J., Wheeler, M. B., Abumrad, N. A., and LeRoith, D. (2004. ) Endocrinology 145 4667–4676 [PubMed] 48. Hirosumi, J., Tuncman, G., Chang, L., Gorgun, C. Z., Uysal, K. T., Maeda, K., Karin, M., and Hotamisligil, G. S. (2002. ) Nature 420 333–336 [PubMed] 49. Kawamori, D., Kaneto, H., Nakatani, Y., Matsuoka, T. A., Matsuhisa, M., Hori, M., and Yamasaki, Y. (2006. ) J. Biol. Chem. 281 1091–1098 [PubMed] 50. Desvergne, B., Michalik, L., and Wahli, W. (2006. ) Physiol. Rev. 86 465–514 [PubMed] 51. Nahle, Z. (2004. ) Curr. Opin. Clin. Nutr. Metabolic Care 7 397–402. 52. Luquet, S., Lopez-Soriano, J., Holst, D., Fredenrich, A., Melki, J., Rassoulzadegan, M., and Grimaldi, P. A. (2003. ) FASEB J. 17 2299–2301 [PubMed] 53. Wang, Y. X., Zhang, C. L., Yu, R. T., Cho, H. K., Nelson, M. C., Bayuga-Ocampo, C. R., Ham, J., Kang, H., and Evans, R. M. (2004. ) PLoS Biol. 2 e294. [PubMed] 54. Grimaldi, P. A. (2007. ) Biochim. Biophys. Acta 1771 983–990 [PubMed] 55. Degenhardt, T., Saramaki, A., Malinen, M., Rieck, M., Vaisanen, S., Huotari, A., Herzig, K. H., Muller, R., and Carlberg, C. (2007. ) J. Mol. Biol. 372 341–355 [PubMed] 56. Kel, A. E., Gossling, E., Reuter, I., Cheremushkin, E., Kel-Margoulis, O. V., and Wingender, E. (2003. ) Nucleic Acids Res. 31 3576–3579 [PubMed] 57. Barthel, A., Schmoll, D., and Unterman, T. G. (2005. ) Trends Endocrinol. Metab. 16 183–189 [PubMed] 58. Accili, D., and Arden, K. C. (2004. ) Cell 117 421–426 [PubMed] 59. Puig, O., and Tjian, R. (2006. ) Cell Cycle 5 503–505 [PubMed] 60. Matsumoto, M., and Accili, D. (2005. ) Cell Metab. 1 215–216 [PubMed] 61. Zhang, W., Patil, S., Chauhan, B., Guo, S., Powell, D. R., Le, J., Klotsas, A., Matika, R., Xiao, X., Franks, R., Heidenreich, K. A., Sajan, M. P., Farese, R. V., Stolz, D. B., Tso, P., Koo, S. H., Montminy, M., and Unterman, T. G. (2006. ) J. Biol. Chem. 281 10105–10117 [PubMed] 62. Kamei, Y., Mizukami, J., Miura, S., Suzuki, M., Takahashi, N., Kawada, T., Taniguchi, T., and Ezaki, O. (2003. ) FEBS Lett. 536 232–236 [PubMed] 63. van der Horst, A., and Burgering, B. M. (2007. ) Nat Rev Mol. Cell. Biol. 8 440–450 [PubMed] 64. Hajri, T., and Abumrad, N. A. (2002. ) Annu. Rev. Nutr. 22 383–415 [PubMed] 65. Tanaka, T., Yamamoto, J., Iwasaki, S., Asaba, H., Hamura, H., Ikeda, Y., Watanabe, M., Magoori, K., Ioka, R. X., Tachibana, K., Watanabe, Y., Uchiyama, Y., Sumi, K., Iguchi, H., Ito, S., Doi, T., Hamakubo, T., Naito, M., Auwerx, J., Yanagisawa, M., Kodama, T., and Sakai, J. (2003. ) Proc. Natl. Acad. Sci. U. S. A. 100 15924–15929 [PubMed] 66. Constantin, D., Constantin-Teodosiu, D., Layfield, R., Tsintzas, K., Bennett, A. J., and Greenhaff, P. L. (2007. ) J. Physiol. 583 381–390 [PubMed] 67. Stitt, T. N., Drujan, D., Clarke, B. A., Panaro, F., Timofeyva, Y., Kline, W. O., Gonzalez, M., Yancopoulos, G. D., and Glass, D. J. (2004. ) Mol. Cell 14 395–403 [PubMed] 68. Kramer, D. K., Al-Khalili, L., Guigas, B., Leng, Y., Garcia-Roves, P. M., and Krook, A. (2007. ) J. Biol. Chem. 282 19313–19320 [PubMed] 69. Finck, B. N., and Kelly, D. P. (2006. ) J. Clin. Invest. 116 615–622 [PubMed] 70. Puigserver, P. (2005. ) Int. J. Obes. (Lond.) 29 Suppl. 1, 5–9 [PubMed] 71. Muoio, D. M., MacLean, P. S., Lang, D. B., Li, S., Houmard, J. A., Way, J. M., Winegar, D. A., Corton, J. C., Dohm, G. L., and Kraus, W. E. (2002. ) J. Biol. Chem. 277 26089–26097 [PubMed] 72. Furnsinn, C., Willson, T. M., and Brunmair, B. (2007. ) Diabetologia 50 8–17 [PubMed] 73. Sidossis, L. S., Stuart, C. A., Shulman, G. I., Lopaschuk, G. D., and Wolfe, R. R. (1996. ) J. Clin. Invest. 98 2244–2250 [PubMed] 74. Dyck, D. J., Steinberg, G., and Bonen, A. (2001. ) Am. J. Physiol. 281 E600–E607. 75. Luiken, J. J., Dyck, D. J., Han, X. X., Tandon, N. N., Arumugam, Y., Glatz, J. F., and Bonen, A. (2002. ) Am. J. Physiol. 282 E491–E495. 76. Kelley, D. E., and Mandarino, L. J. (2000. ) Diabetes 49 677–683 [PubMed] 77. Kelley, D. E., He, J., Menshikova, E. V., and Ritov, V. B. (2002. ) Diabetes 51 2944–2950 [PubMed] 78. Lowell, B. B., and Shulman, G. I. (2005. ) Science 307 384–387 [PubMed] 79. Bastie, C., Luquet, S., Holst, D., Jehl-Pietri, C., and Grimaldi, P. A. (2000. ) J. Biol. Chem. 275 38768–38773 [PubMed] 80. Holst, D., Luquet, S., Nogueira, V., Kristiansen, K., Leverve, X., and Grimaldi, P. A. (2003. ) Biochim. Biophys. Acta 1633 43–50 [PubMed] |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||||||
Curr Opin Clin Nutr Metab Care. 2007 Mar; 10(2):142-8.
[Curr Opin Clin Nutr Metab Care. 2007]Nutr Rev. 2007 Jan; 65(1):39-45.
[Nutr Rev. 2007]Acta Physiol Scand. 2003 Aug; 178(4):347-56.
[Acta Physiol Scand. 2003]J Biol Chem. 2001 Nov 2; 276(44):40567-73.
[J Biol Chem. 2001]J Biol Chem. 2000 Oct 20; 275(42):32523-9.
[J Biol Chem. 2000]FASEB J. 2007 Nov; 21(13):3431-41.
[FASEB J. 2007]Proc Nutr Soc. 2004 May; 63(2):363-8.
[Proc Nutr Soc. 2004]Biochim Biophys Acta. 2007 Aug; 1771(8):983-90.
[Biochim Biophys Acta. 2007]Circ Res. 2007 Feb 16; 100(3):328-41.
[Circ Res. 2007]J Biol Chem. 1999 Jun 4; 274(23):15982-5.
[J Biol Chem. 1999]Cell Cycle. 2005 Jul; 4(7):908-13.
[Cell Cycle. 2005]Mol Cell. 2003 Jan; 11(1):6-8.
[Mol Cell. 2003]Biochemistry. 2001 Oct 2; 40(39):11768-76.
[Biochemistry. 2001]Biochem J. 2003 Oct 15; 375(Pt 2):365-71.
[Biochem J. 2003]J Biol Chem. 2005 Apr 8; 280(14):14222-9.
[J Biol Chem. 2005]Biochem Biophys Res Commun. 2000 Jun 24; 273(1):1-4.
[Biochem Biophys Res Commun. 2000]FEBS Lett. 2005 Mar 21; 579(8):1846-53.
[FEBS Lett. 2005]J Clin Invest. 1995 Sep; 96(3):1382-8.
[J Clin Invest. 1995]Diabetologia. 2005 Dec; 48(12):2622-30.
[Diabetologia. 2005]J Biol Chem. 1999 Jul 2; 274(27):19055-62.
[J Biol Chem. 1999]J Biol Chem. 1999 Sep 17; 274(38):26761-6.
[J Biol Chem. 1999]Mol Cell Biol. 2000 Jul; 20(14):5119-28.
[Mol Cell Biol. 2000]Nat Cell Biol. 2002 Nov; 4(11):859-64.
[Nat Cell Biol. 2002]Exp Cell Res. 2003 Aug 1; 288(1):168-76.
[Exp Cell Res. 2003]Nature. 2004 Aug 12; 430(7001):797-802.
[Nature. 2004]J Biol Chem. 2005 Apr 8; 280(14):14222-9.
[J Biol Chem. 2005]Genome Biol. 2005; 6(8):R72.
[Genome Biol. 2005]J Mol Biol. 2001 May 25; 309(1):99-120.
[J Mol Biol. 2001]J Biol Chem. 2005 Apr 8; 280(14):14222-9.
[J Biol Chem. 2005]J Biol Chem. 2005 Apr 8; 280(14):14222-9.
[J Biol Chem. 2005]J Clin Invest. 2007 Sep; 117(9):2477-85.
[J Clin Invest. 2007]J Biol Chem. 1999 Jun 4; 274(23):15982-5.
[J Biol Chem. 1999]Cell Cycle. 2005 Jul; 4(7):908-13.
[Cell Cycle. 2005]J Biol Chem. 2000 Oct 20; 275(42):32523-9.
[J Biol Chem. 2000]Essays Biochem. 2006; 42():47-59.
[Essays Biochem. 2006]Diabetes. 2004 Sep; 53(9):2209-16.
[Diabetes. 2004]J Biol Chem. 1999 Sep 17; 274(38):26761-6.
[J Biol Chem. 1999]J Biol Chem. 2005 Apr 8; 280(14):14222-9.
[J Biol Chem. 2005]J Biol Chem. 1999 Sep 17; 274(38):26761-6.
[J Biol Chem. 1999]J Biol Chem. 2005 Apr 8; 280(14):14222-9.
[J Biol Chem. 2005]FASEB J. 2007 Nov; 21(13):3431-41.
[FASEB J. 2007]Biochem J. 2003 Oct 15; 375(Pt 2):365-71.
[Biochem J. 2003]J Biol Chem. 2005 Apr 8; 280(14):14222-9.
[J Biol Chem. 2005]Endocrinology. 2004 Oct; 145(10):4667-76.
[Endocrinology. 2004]J Biol Chem. 2000 Oct 20; 275(42):32523-9.
[J Biol Chem. 2000]J Biol Chem. 2000 Oct 20; 275(42):32523-9.
[J Biol Chem. 2000]Biochem J. 2003 Oct 15; 375(Pt 2):365-71.
[Biochem J. 2003]J Biol Chem. 2005 Apr 8; 280(14):14222-9.
[J Biol Chem. 2005]Nature. 2002 Nov 21; 420(6913):333-6.
[Nature. 2002]J Biol Chem. 2006 Jan 13; 281(2):1091-8.
[J Biol Chem. 2006]Physiol Rev. 2006 Apr; 86(2):465-514.
[Physiol Rev. 2006]Circ Res. 2007 Apr 27; 100(8):1208-17.
[Circ Res. 2007]Diabetes. 2007 Jul; 56(7):1872-80.
[Diabetes. 2007]FASEB J. 2003 Dec; 17(15):2299-301.
[FASEB J. 2003]PLoS Biol. 2004 Oct; 2(10):e294.
[PLoS Biol. 2004]J Biol Chem. 2000 Dec 8; 275(49):38768-73.
[J Biol Chem. 2000]Biochim Biophys Acta. 2003 Jul 4; 1633(1):43-50.
[Biochim Biophys Acta. 2003]J Biol Chem. 2000 Dec 8; 275(49):38768-73.
[J Biol Chem. 2000]Biochim Biophys Acta. 2003 Jul 4; 1633(1):43-50.
[Biochim Biophys Acta. 2003]Nucleic Acids Res. 2003 Jul 1; 31(13):3576-9.
[Nucleic Acids Res. 2003]J Mol Biol. 2007 Sep 14; 372(2):341-55.
[J Mol Biol. 2007]Proc Nutr Soc. 2004 May; 63(2):363-8.
[Proc Nutr Soc. 2004]Trends Endocrinol Metab. 2005 May-Jun; 16(4):183-9.
[Trends Endocrinol Metab. 2005]Cell Cycle. 2006 Mar; 5(5):503-5.
[Cell Cycle. 2006]Cell Metab. 2005 Apr; 1(4):215-6.
[Cell Metab. 2005]J Biol Chem. 2006 Apr 14; 281(15):10105-17.
[J Biol Chem. 2006]Biochem J. 2003 Oct 15; 375(Pt 2):365-71.
[Biochem J. 2003]J Mol Biol. 2007 Sep 14; 372(2):341-55.
[J Mol Biol. 2007]Proc Natl Acad Sci U S A. 2003 Dec 23; 100(26):15924-9.
[Proc Natl Acad Sci U S A. 2003]J Physiol. 2007 Aug 15; 583(Pt 1):381-90.
[J Physiol. 2007]Mol Cell. 2004 May 7; 14(3):395-403.
[Mol Cell. 2004]J Mol Biol. 2007 Sep 14; 372(2):341-55.
[J Mol Biol. 2007]J Mol Biol. 2007 Sep 14; 372(2):341-55.
[J Mol Biol. 2007]J Biol Chem. 2007 Jul 6; 282(27):19313-20.
[J Biol Chem. 2007]Cardiovasc Res. 2007 Jan 15; 73(2):269-77.
[Cardiovasc Res. 2007]J Clin Invest. 2006 Mar; 116(3):615-22.
[J Clin Invest. 2006]Int J Obes (Lond). 2005 Jan; 29(1):1-8.
[Int J Obes (Lond). 2005]J Biol Chem. 2002 Jul 19; 277(29):26089-97.
[J Biol Chem. 2002]Annu Rev Nutr. 2002; 22():383-415.
[Annu Rev Nutr. 2002]J Biol Chem. 1999 Sep 17; 274(38):26761-6.
[J Biol Chem. 1999]Endocrinology. 2004 Oct; 145(10):4667-76.
[Endocrinology. 2004]Diabetologia. 2007 Jan; 50(1):8-17.
[Diabetologia. 2007]J Clin Invest. 1996 Nov 15; 98(10):2244-50.
[J Clin Invest. 1996]