1 Institut National de la Santé et de la Recherche Médicale (INSERM) U.449 and
2 Human Nutrition Research Center of Lyon, Faculty of Medicine R. Laennec
3 Department of Endocrinology, Diabetology, and Nutrition, E. Herriot Hospital, Lyon, France
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ABSTRACT |
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INTRODUCTION |
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In addition to this level of regulation, insulin also controls the transcription of important genes in its target cells (12). This action is crucial for insulin to sustain its metabolic effects and also to adapt the organism to environmental changes. It is well known that environmental factors play a major role in type 2 diabetes, in addition to genetic predisposition. Alterations in the transcriptional mechanisms involved in the adaptation of the cells to environmental changes may thus participate in the pathogenesis of the disease (13,14). In keeping with this hypothesis, the expression of some important genes involved in insulin action and glucose metabolism has been found to be altered in peripheral tissues of type 2 diabetic patients. For example, the basal expression levels of hexokinase II (15,16) and glycogen synthase (17) in skeletal muscle and of GLUT4 (18) and IRS-1 (19) in adipose tissue are significantly reduced. Moreover, it has been reported that the induction of GLUT4 (20,21) and hexokinase II (22) expression in response to hyperinsulinemia is impaired in skeletal muscle of type 2 diabetic patients. Recently, we have demonstrated that the regulation by insulin of the p85 regulatory subunit of PI3K (p85
PI3K) is also altered in muscle and adipose tissue of patients with type 2 diabetes (23). Taken together, these data suggest that the regulation of a cluster of genes involved in insulin action and glucose metabolism may be affected in type 2 diabetes. It could thus be hypothesized that a common mechanism, involved in the regulation of these genes and probably others that have yet to be identified, is altered in the peripheral tissues of type 2 diabetic patients.
However, this hypothesis is based on results from unrelated studies that have been performed using different hyperinsulinemic conditions and different procedures to estimate gene expression levels. Moreover, in most of the studies, the regulation of one individual gene was investigated, although we have reported the regulation of three mRNAs (insulin receptor, IRS-1, and p85PI3K) in parallel (23). It is thus difficult to conclude whether the same mechanism is involved in the defective regulation of GLUT4, hexokinase II, and p85
PI3K gene expression. In addition, it is still unclear whether the observed defects in the regulation of gene expression result from a specific alteration linked to type 2 diabetes or are secondary to the metabolic state of the patients, such as insulin resistance or chronic hyperglycemia.
The present study was performed with the aim of verifying these points. To this end, we investigated the concerted regulation by insulin of the expression of 10 candidate genes, measured by similar reverse transcriptasecompetitive polymerase chain reaction (RT-cPCR) assays, in skeletal muscle and in adipose tissue of type 2 diabetic patients. In addition to the regulation of genes that have already been studied individually (2021222324), we also investigated, for the first time, the regulation of the p110 and p110ß catalytic subunits of PI3K (p110
PI3K and p110ßPI3K, respectively) and the regulation of the transcription factor sterol regulatory-element-binding protein-1c (SREBP-1c).
To verify whether an impaired regulation of the expression of some of these genes is specific or secondary to the metabolic state of type 2 diabetes, age-matched control subjects, type 2 diabetic patients, and insulin-resistant nondiabetic obese subjects were investigated in parallel. Moreover, the contribution of a deleterious role of chronic hyperglycemia was verified with a group of type 1 diabetic subjects with HbA1c similar to that in the type 2 diabetic patients.
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RESEARCH DESIGN AND METHODS |
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Study design.
All studies were performed after an overnight fast. So that insulin action on glucose metabolism and on target gene expression could be investigated, the subjects were submitted to a 3-h euglycemic-hyperinsulinemic clamp (24).
Euglycemic-hyperinsulinemic clamp.
Before the hyperinsulinemic period, basal glucose turnover rate was determined during the last 30 min of a 3-h basal period by tracer dilution methodology using a primed [6,6-2H2]glucose (Eurisotop, St. Aubain, France) infusion (0.02 mg · kg1 · min1). Then, a 3-h euglycemic-hyperinsulinemic clamp was started by the infusion of insulin (Actrapid Novo, Copenhagen, Denmark) at a rate of 450 pmol · m2 · min1. Primed [6,6-2H2]glucose was infused (0.1 mg · kg1 · min1) during the clamp to determine glucose turnover rate, while any decrease in blood glucose was prevented by adapted infusion of 20% glucose solution (Aguettant, Lyon, France). For the determination of metabolites, hormones, and [6,6-2H2]glucose isotopic enrichment, blood samples were drawn every 10 min during the last 30 min of the basal and hyperinsulinemic periods. Metabolite and hormone concentrations were measured using enzymatic methods and radioimmunoassays. Plasma isotopic enrichment of [6,6-2H2]glucose was determined by gas chromatographymass spectrometry (5,971 MSD; Hewlett-Packard, Palo Alto, CA), and glucose turnover rates were calculated using steady-state equations as previously described (25). For the diabetic patients, glucosuria was subtracted from glucose turnover rates to calculate glucose utilization. For the young control and the type 1 diabetic subjects, [6,6-2H2]glucose was not used and thus basal glucose disposal was not determined. For these subjects, the rates of glucose infusion during the clamp were used to estimate whole-body glucose disposal rates, since it has already been established that endogenous glucose production is suppressed with the level of hyperinsulinemia reached during the clamp (26). To estimate glucose and lipid oxidation rates, respiratory exchange measurements were performed during the final 30 min of both the basal and the hyperinsulinemic periods, using a flow-through canopy gas-analyzer system (Deltatrac Metabolic Monitor; Datex, Helsinki, Finland) (25).
Muscle and adipose tissue biopsies.
Muscle and adipose tissue biopsies were taken under local anesthesia (2% lidocaine), at the beginning of the basal period and at the end of the hyperinsulinemic clamp period, as described previously (24). Briefly, skeletal muscle samples were obtained by percutaneous biopsies of the vastus lateralis muscle using Weil-Blakesley pliers. The size of the biopsies averaged 60 mg, with no difference between samples from control, obese, and diabetic subjects or before and after clamp. Abdominal subcutaneous adipose tissue was aspirated from the periumbilical area through a 15-gauge needle (27). About 250 mg wet wt of tissue was used for total RNA preparation, with no significant difference in average size between groups or before and after clamp. Tissue samples were immediately frozen in liquid nitrogen and stored at -80°C for further analysis.
Total RNA preparation.
Tissue samples were pulverized in liquid nitrogen and total RNA was prepared according to a procedure based on the method of Chomczynski and Sacchi (28) for muscle samples and using the RNeasy total RNA kit from Qiagen (Courtaboeuf, France) for adipose tissue (27). Average yields of total RNA were 26 ± 2 µg/100 mg of muscle (wet weight) and 1.2 ± 0.2 µg/100 mg of adipose tissue (wet weight), and were not significantly different in tissues from control, obese, and diabetic subjects, before or after the clamp. Total RNA solutions were stored at -80°C until quantification of the target mRNAs.
Quantification of messenger RNAs.
The concentrations of the mRNAs corresponding to the genes of interest were measured by RT-cPCR. The method relies on the addition of known amounts of a competitor DNA molecule in the polymerase chain reaction (PCR) to standardize the amplification process (29). The construction of the competitors, the sequences of the primers, the validation of the assays, and the conditions of the RT-cPCR assays have been described in detail previously (16,24,29). For each mRNA, the specific first-strand cDNA was synthesized from 0.1 µg of total RNA in experimental conditions that warranted optimal efficiency of the reaction (29). During the competitive PCR, Cy-5 5'-end-labeled sense primers were used to generate fluorescent PCR products that were analyzed with an automated laser fluorescence DNA sequencer (ALFexpress; Pharmacia, Uppsala, Sweden) in 4% denaturing polyacrylamide gels. The initial concentration of target mRNA was determined at the competition equivalence point as previously described (29).
New competitors were constructed for the quantitation of the mRNAs encoding the p110 and p110ß catalytic subunits of PI3K and the transcription factor SREBP-1c. For p110
PI3K, a 517-nucleotide-long cDNA fragment was obtained by RT-PCR on human skeletal muscle total RNA using 5'-79CCAAATGGAATGATAGTGAC98-3' as sense primer and 5'-593ACTATTACCCAAATCACCAC574-3' as antisense primer. The competitor was obtained by deleting 61 bp using a two-step PCR overlap extension method. For p110ßPI3K, a 457-nucleotide-long cDNA fragment was generated by RT-PCR using 5'-2,712CTGTGCTGGCTACTGTGTA2,730-3' as sense primer and 5'-3,166TAGTAGTCCAG CTTTCCCTG3,147-3' as antisense primer. The competitor was obtained by deleting 49 bp. For SREBP-1c, a 311-nucleotide-long cDNA fragment was synthesized by RT-PCR from human adipose tissue total RNA using 5'--8GCGGAGCCATGGATTGCAC11-3' as sense primer (specific of the exon 1c of the SREBP-1 gene) and 5'-311CTCTTCCTTGATACCAGGCCC291-3' as antisense primer. The competitor was obtained by adding 20 bp in the SREBP-1c cDNA fragment. The checked sequences of the cDNAs and the competitors of p110
PI3K, p110ßPI3K, and SREBP-1c perfectly matched the published ones. For the assays by RT-cPCR, the antisense primers were used for specific reverse transcriptase (RT) reactions, and CY-5 5'-end-labeled sense primers were used during the PCR. Both reactions were performed under the conditions indicated above and previously described (29). The new RT-cPCR mRNA assays were validated using a large range of in vitro synthesized RNA (0.2550 amol in the reaction) as recommended (29).
To accurately determine the effect of insulin, total RNA of the two muscle (or adipose tissue) biopsies from the same individual (before and after clamp) were prepared simultaneously and the assays of the target mRNAs were always made in the same run of PCR, with the same working solutions of competitor. The data presented in this work generally corresponded to the single determination of a target mRNA in a given biopsy. The coefficient of variation of the RT-cPCR method was <15% (24,29). Because the method allowed the real amount of target mRNAs to be determined (29), the results were presented as absolute concentrations, in attomoles per microgram of total RNA. Control experiments were routinely carried out to verify the absence of PCR contamination and/or genomic DNA amplification.
Statistical analysis.
All data in text and figures are presented as means ± SE. Statistical significance of the results was determined using Kruskal-Wallis analysis followed by nonparametric Mann-Whitneys test when comparing groups of subjects. A nonparametric Wilcoxons test for paired values was used when comparing mRNA levels before and after clamp in the same group of subjects. Correlations were analyzed using Spearmans rank correlation test. The threshold for significance was set at P < 0.05.
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RESULTS |
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Basal mRNA expression pattern in skeletal muscle.
We have first investigated the regulation of the expression of nine genes that encode major proteins and enzymes related to insulin action on glucose metabolism. They include insulin receptor, IRS-1, p85PI3K, p110
PI3K, p110ßPI3K, Ras protein associated with diabetes (Rad), GLUT4, hexokinase II, and glycogen synthase. The basal concentrations of the nine transcripts in vastus lateralis muscle, determined by RT-cPCR, are presented in Fig. 1. For clarity, the results obtained in young control subjects are not shown, except for Rad mRNA. When the data from the five groups were compared (Kruskal-Wallis analysis), there was no statistical difference between groups in the mRNA levels of insulin receptor, IRS-1, p85
PI3K, p110
PI3K, p110ßPI3K, GLUT4, and glycogen synthase. Significant differences were found for Rad (P = 0.003) and hexokinase II (P = 0.001) mRNA levels. When the same analysis was performed taking into account the data of the age-matched control, nondiabetic obese, and type 2 diabetic subjects, the differences remained significant for hexokinase II (P < 0.001) only. Using the nonparametric Mann-Whitneys test, we found that the mRNA levels of hexokinase II were significantly reduced in the skeletal muscle of type 2 diabetic patients with respect to both the control (P = 0.007) and the nondiabetic obese (P = 0.003) subjects. Regarding Rad, Fig. 1 shows that there was a twofold reduction in Rad mRNA levels in the groups of young subjects (control and type 1 diabetic subjects) when compared with the groups of older subjects (P < 0.001), suggesting an age-related difference in the expression of this gene. When all subjects were considered, there was a significant positive correlation (r = 0.44, P = 0.008) between Rad mRNA and the age of the subjects. Importantly, there was no difference in the expression of Rad between type 2 diabetic patients and age-matched healthy control subjects (P = 0.954) or age-matched nondiabetic obese subjects (P = 0.391). Glycogen synthase mRNA levels tended to be reduced in the muscle of type 2 diabetic patients when compared with their age-matched control subjects, and the difference was very close to being significant (P = 0.064). On the other hand, type 1 diabetic patients showed a tendency for an increased expression of p85
PI3K and GLUT4 mRNAs, but the difference was not significant when tested using the Kruskal-Wallis analysis (P = 0.222 and 0.144 for GLUT4 and p85
PI3K mRNA, respectively). However, when the type 1 diabetic patients were directly compared with the young control subjects (Mann-Whitneys test), the diabetic patients had a slightly higher GLUT4 mRNA levels (64 ± 9 vs. 44 ± 3 amol/µg total RNA, P = 0.043).
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Figure 2 shows the individual data regarding the regulation by insulin of p85PI3K and hexokinase II mRNA levels in skeletal muscle, clearly demonstrating that there was a specific defect in the skeletal muscle of type 2 diabetic subjects that was not encountered in insulin-resistant obese subjects and in hyperglycemic type 1 diabetic patients.
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DISCUSSION |
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The second objective of the work was to define whether the observed defects in the regulation of gene expression resulted from a specific alteration in type 2 diabetes or were secondary to the metabolic state of the patients. Therefore, the regulation of the candidate genes was studied in tissues of healthy control subjects, type 2 diabetic patients, nondiabetic obese subjects, and type 1 diabetic patients, in parallel. These groups of subjects were selected to verify the contribution of either obesity-related insulin resistance (nondiabetic obese subjects) or chronic hyperglycemia (type 1 diabetic patients) on the defective regulation of gene expression observed in type 2 diabetic patients.
The expression of GLUT4, hexokinase II, glycogen synthase, insulin receptor, and IRS-1 mRNAs in muscle or adipose tissue of type 2 diabetic patients has been previously reported (151617181920212223). The between-group differences found in the present study were globally in agreement with what was previously observed for these genes (151617181920212223). For example, we confirmed the marked reduction in the mRNA level of hexokinase II in the muscle of type 2 diabetic patients (15,22). Interestingly, we showed that this reduction was not observed in subcutaneous adipose tissue, indicating thus a tissue-specific alteration. In addition, our work provided several new pieces of information. We demonstrated that the basal mRNA expression of the p110 and p110ß catalytic subunits of PI3K was not altered in the muscle of insulin-resistant subjects. There is thus no defect in the basal expression of the main actors of insulin signaling (insulin receptor, IRS-1, and the regulatory and catalytic subunits of PI3K) in the skeletal muscle of type 2 diabetic patients. We also found that Rad mRNA concentration was similar in muscle of age-matched lean, obese, and type 2 diabetic subjects, confirming previous studies (33). Nevertheless, we observed a significant positive correlation between Rad mRNA and the age of the subjects, thus suggesting that Rad expression increases with age in skeletal muscle, independently of obesity and diabetes. Finally, we demonstrated that SREBP-1c mRNA expression is profoundly decreased in subcutaneous adipose tissue of nondiabetic and type 2 diabetic obese subjects, while there was no significant difference between groups in skeletal muscle. The reduction in SREBP-1c mRNA in adipose tissue correlated with the BMI of the subjects, indicating an association between obesity and the downregulation of this transcription factor. This observation, made in human fat tissue, was in keeping with recent results obtained in mice, using DNA microarray technology, that showed that the expression of SREBP-1c is two- to threefold decreased in white adipose tissue of obese and diabetic animals (34,35).
Hyperinsulinemia produced several changes in the mRNA levels of the investigated genes. Under our experimental conditions (insulin concentration of 1,000 pmol/l for 3 h), these genes could be classified into the following four categories: 1) those that were not regulated by insulin in any of the groups of subjects; 2) those that are regulated (upregulated or downregulated) by insulin in a similar way in all groups; 3) those with an impaired regulation by insulin in insulin resistance (nondiabetic obese and type 2 diabetic patients); and 4) those with an altered regulation by insulin in type 2 diabetic patients specifically.
The mRNA expression of insulin receptor and glycogen synthase was not modified in skeletal muscle after 3 h of insulin infusion, in any of the groups. This was in agreement with most of the preceding studies (23,24,36).
IRS-1 mRNA levels were significantly reduced and Rad expression markedly increased in skeletal muscle in all groups, although the magnitude of the insulin effect on Rad mRNA seemed lower in type 2 diabetic patients. These results indicated thus that the regulation of IRS-1 and Rad mRNA expression are not significantly affected by obesity, insulin resistance, or diabetes in skeletal muscle.
The regulation by insulin of GLUT4 mRNA expression in muscle was altered both in nondiabetic obese and type 2 diabetic patientsthe two groups of frankly insulin-resistant subjects. These data thus suggest that the impaired regulation of GLUT4 expression by insulin may result from the reduced insulin sensitivity of these patients. Interestingly, we found a normal induction of GLUT4 mRNA in response to insulin infusion in skeletal muscle of type 1 diabetic patients, whereas other investigators have previously reported an impaired regulation of GLUT4 expression in these subjects (26). Type 1 diabetic patients are classically considered as mildly insulin resistant (26,37,38). The difference between our results and those of Yki-Järvinen et al. (26) are likely to be due to the higher levels of hyperinsulinemia maintained during the clamp in our study (±1,000 vs. 700 pmol/l). When moderate concentrations of insulin were used during the clamp, a significant reduction in insulin-induced glucose disposal rate has been observed in type 1 diabetic patients (26,37,38). Here, with a higher level of hyperinsulinemia, we found only a slight reduction in insulin-induced glucose utilization when compared with control subjects. This finding clearly indicated that insulin resistance in type 1 diabetic subjects was compensated when the concentration of insulin was increased. Under such conditions, the regulation of gene expression by insulin was found to be similar in control subjects and in type 1 diabetic patients. Taken together, these results strongly support the assumption that the regulation of GLUT4 gene by insulin is firmly associated with the responsiveness of the tissue to insulin.
Insulin induced a significant reduction in the mRNA levels of the two p110 catalytic subunits of PI3K in the muscle of type 2 diabetic patients. This result was not observed in the other groups of subjects. The consequences of this downregulation of p110PI3K and p110ßPI3K mRNAs are yet unknown but will require further studies to verify, at the protein and kinase activity levels, whether this regulatory mechanism may play a role in the transduction of the insulin signal.
The insulin-induced regulation of p85PI3K, hexokinase II, and SREBP-1c mRNA expression was impaired only in type 2 diabetic patients, both in skeletal muscle and subcutaneous adipose tissue. Because the regulation of these three genes was normal in insulin-resistant nondiabetic obese subjects and in type 1 diabetic patients, one might thus suggest that the observed defects in type 2 diabetes were not secondary to insulin resistance, obesity, or chronic hyperglycemia. It has been recently reported, however, that the regulation by insulin of hexokinase II expression in skeletal muscle was impaired not only in type 2 diabetic but also in nondiabetic obese subjects when low levels of insulin were maintained during the clamp (400500 pmol/l) (22). Moreover, the effect of insulin was restored, in both groups, in the presence of very high concentrations (4,000 pmol/l) of insulin (22). With intermediate levels of hyperinsulinemia (1,000 pmol/l), we found that the defective regulation of hexokinase II gene expression was observed in the tissues of the type 2 diabetic patients specifically. Taken together, these results suggest that the concentration of insulin required to compensate for insulin resistance is an important parameter in the regulation of gene expression. However, under our experimental conditions, both the nondiabetic obese subjects and the type 2 diabetic patients had a similar level of insulin resistance as assessed by measurement of glucose disposal rate during the hyperinsulinemic clamp. This finding thus suggests that insulin resistance may not be the only cause of the defective regulation of gene expression in type 2 diabetes.
In addition to insulin resistance, a defect in the transcriptional machinery could contribute to the observed alterations. This attractive hypothesis is supported by the recent identification of mutated transcription factors in subtypes of maturity-onset diabetes of the young (39,40) and in other particular forms of type 2 diabetes (13,14). If this also occurs in the common form of type 2 diabetes, one can predict that the impaired regulation of gene expression may play a primary role in the pathogenesis of the disease. Recently, the transcription factor SREBP-1c has been involved in the effect of insulin on the transcription of several genes that encode enzymes of glucose and lipid metabolism (303132). Moreover, overexpression of SREBP-1c in adipose tissue in mice is associated with insulin resistance, diabetes, and lipodystrophy (41). The promoter regions of hexokinase II and p85 PI3K genes (E. Lefai and H. Vidal, unpublished observations) contain several SRE and E-box sequences that could be putative response elements for SREBP-1c. In addition, there is evidence that SREBP-1c could control the expression of its own gene (34). Therefore, SREBP-1c is a potential candidate to participate in the defective regulation of gene expression observed in type 2 diabetes. We have found that SREBP-1c mRNA expression is decreased in subcutaneous adipose tissue of type 2 diabetic obese subjects. However, this observed reduction is not likely to play a predominant role in the defective regulation of gene expression in type 2 diabetes. There was indeed no major alteration in the basal mRNA levels of SREBP-1c in skeletal muscle, while the defective regulation of gene expression in response to insulin was observed in both adipose tissue and skeletal muscle. In addition, the reduction in SREBP-1c in adipose tissue appeared to be mainly associated with obesity, and we have found that the regulation of gene expression by insulin was not altered in the tissues of nondiabetic obese subjects. However, it has been recently shown that, in addition to upregulating SREBP-1c gene expression (42,43), insulin also activates SREBP-1c transcriptional activity (43). Therefore, involvement of this transcription factor in the regulation of gene expression in human tissues and its putative role in the defective regulation observed in type 2 diabetes require further investigation.
The regulation of hexokinase II, p85PI3K, and SREBP-1c gene expression is altered in skeletal muscle and adipose tissue of type 2 diabetic patients. These three genes could thus belong to a cluster of genes with impaired regulation by insulin in type 2 diabetes. In keeping with such a hypothesis, a common mechanism involved in their regulation, and probably of other yet unidentified genes, should be altered in the peripheral tissues of type 2 diabetic patients. Importantly in this context, it has been reported that insulin requires the PI3K pathway to control the expression of hexokinase II and p85
PI3K genes at the transcriptional level in cultured muscle cells (44,45). In hepatocyte, the same pathway is also involved in the effects of insulin on SREBP-1c expression and activation (43). Moreover, it has been clearly demonstrated that the activation by insulin of the PI3K pathway is altered in muscle of type 2 diabetic patients (8,9). Therefore, altered transmission of the insulin signal through the PI3K pathway could be involved in the impaired regulation of gene expression. However, the same pathway is also required in the actions of insulin on glucose metabolism (4,5), and we have shown that the response of the three genes to insulin was normal in tissues of insulin-resistant nondiabetic obese subjects. This finding suggests that the pathways involved in the regulation of gene expression and in the control of glucose metabolism may diverge after the activation of the PI3K and that type 2 diabetes may have additional defects in the pathway leading to the transcriptional regulation in the nuclei. Further works are clearly needed to decipher the mechanism of action of insulin from its receptor to the promoters of its target genes and to identify a common element that may be involved in the altered regulation of a cluster of genes.
In summary, insulin modulates in a coordinate fashion the mRNA levels of several genes involved in insulin action and glucose metabolism in skeletal muscle and in adipose tissue. We have found that the regulation of p85PI3K, hexokinase II, and SREBP-1c gene expression by insulin is impaired in the tissues of type 2 diabetic patients. This defect appears to be independent from obesity-related insulin resistance and chronic hyperglycemia. These results suggest that type 2 diabetes may be associated with a specific alteration in the signaling to the nucleus or in the transcriptional machinery.
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ACKNOWLEDGMENTS |
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The authors acknowledge C. Urbain, J. Peyrat, and M. Odeon for excellent technical assistance.
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FOOTNOTES |
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Received for publication 31 July 2000 and accepted in revised form 5 February 2001.
P.-H.D. and N.P. contributed equally to this work.
IRS, insulin receptor substrate; PCR, polymerase chain reaction; PI3K, phosphatidylinositol 3-kinase; p85PI3K, p85
regulatory subunit of phosphatidylinositol 3-kinase; p110
PI3K, p110
catalytic subunit of phosphatidylinositol 3-kinase; p110ßPI3K, p110ß catalytic subunit of phosphatidylinositol 3-kinase; Rad, Ras protein associated with diabetes; RT-cPCR, reverse transcriptasecompetitive polymerase chain reaction; SREBP-1c, sterol regulatory-element-binding protein-lc.
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REFERENCES |
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