Peroxisome proliferator-activated receptor gamma 2 and acyl-CoA synthetase 5 polymorphisms influence diet response.

Peroxisome proliferator-activated receptor gamma (PPARgamma) and its response gene, Acyl CoA synthetase 5 (ACSL5), which has an important role in fatty acid metabolism, may affect weight loss in response to caloric restriction. Therefore, we aimed to determine whether these genes were involved in the interindividual response to dietary treatment. Genotypic/phenotypic comparisons were made between selected obese women from the quintiles losing the most (diet responsive, n = 74) and the quintiles losing the least (diet-resistant, n = 67) weight in the first 6 weeks of a 900-kcal formula diet. Two common PPARgamma single nucleotide polymorphisms, Pro(12)Ala and C1431T, and eight polymorphisms across the ACSL5 gene were selected for single locus and haplotypic association analyses. The PPARgamma Pro(12)Ala single nucleotide polymorphism was associated with diet resistance (odds ratio = 3.48, 95% confidence interval = 1.41 to 8.56, p = 0.03), and the rs2419621, located in the 5'untranslated region of the ACSL5 gene, displayed the strongest association with diet response (odds ratio = 3.45, 95% confidence interval = 1.61 to 7.69, p = 0.001). Skeletal muscle ACSL5 mRNA expression was significantly lower in carriers of the wildtype compared with the variant rs2419621 allele (p = 0.03). Our results suggest a link between PPARgamma2 and ACSL5 genotype and diet responsiveness.

PPARgamma agonists diminish serum VEGF elevation in diet-induced insulin resistant SD rats and ZDF rats.

We investigated the effect of peroxisome proliferator-activated receptor gamma (PPARgamma) agonists on serum vascular endothelial growth factor (VEGF) in diet-induced insulin resistant SD rats and ZDF rats. SD rats fed a high fat/sucrose diet showed increases in serum insulin and VEGF (both p < 0.01). Treatment with a PPARgamma agonist GI262570 normalized the diet-elevated insulin and VEGF (both p < 0.01). There was a positive correlation between serum insulin and VEGF (p < 0.05) in SD rats. ZDF rats had higher serum glucose, insulin, and VEGF than Zucker lean rats (all p < 0.01). Treatment of ZDF rats with PPARgamma agonist pioglitazone decreased serum glucose and VEGF (both p <0.01). There was a positive correlation between glucose and VEGF in ZDF rats (p < 0.05). In 3T3-L1 adipocytes, GI262570 did not affect insulin-stimulated VEGF secretion. These studies demonstrated that hyperinsulinemia in SD rats and hyperglycemia in ZDF rats were associated with increased serum VEGF; PPARgamma agonists normalized serum insulin, glucose, and VEGF, but did not affect VEGF secretion in vitro.

Serum adiponectin as a biomarker for in vivo PPARgamma activation and PPARgamma agonist-induced efficacy on insulin sensitization/lipid lowering in rats.

BACKGROUND: PPARgamma agonists ameliorate insulin resistance and dyslipidemia in type 2 diabetic patients. Adiponectin possesses insulin sensitizing properties, and predicts insulin sensitivity of both glucose and lipid metabolism. In diet-induced insulin resistant rats and ZDF rats, the current studies determined the correlation between PPARgamma agonist-upregulated fatty acid binding protein(FABP3) mRNA in adipose tissue and PPARgamma agonist-elevated serum adiponectin, and the correlation between PPARgamma agonist-elevated serum adiponectin and PPARgamma agonist-mediated efficacy in insulin sensitization and lipid lowering. RESULTS: Parallel groups of SD rats were fed a high fat/sucrose (HF) diet for 4 weeks. These rats were orally treated for the later 2 weeks with vehicle, either PPARgamma agonist GI262570 (0.2-100 mg/kg, Q.D.), or GW347845 (3 mg/kg, B.I.D). Rats on HF diet showed significant increases in postprandial serum triglycerides, free fatty acids (FFA), insulin, and area under curve (AUC) of serum insulin during an oral glucose tolerance test, but showed no change in serum glucose, adiponectin, and glucose AUC. Treatment with GI262570 dose-dependently upregulated adipose FABP3 mRNA, and increased serum adiponectin. There was a position correlation between adipose FABP3 mRNA and serum adiponectin (r = 0.7350, p < 0.01). GI262570 dose-dependently decreased the diet-induced elevations in triglycerides, FFA, insulin, and insulin AUC. Treatment with GW347845 had similar effects on serum adiponectin and the diet-induced elevations. There were negative correlations for adiponectin versus triglycerides, FFA, insulin, and insulin AUC (For GI262570, r = -0.7486, -0.4581, -0.4379, and -0.3258 respectively, all p < 0.05. For GW347845, r = -0.6370, -0.6877, -0.5512, and -0.3812 respectively, all p < 0.05). In ZDF rats treated with PPARgamma agonists pioglitazone (3-30 mg/kg, B.I.D.) or GW347845 (3 mg/kg, B.I.D.), there were also negative correlations for serum adiponectin versus glucose, triglycerides, FFA (for pioglitazone, r = -0.7005, -0.8603, and -0.9288 respectively; for GW347845, r = -0.9721, -0.8483, and -0.9453 respectively, all p < 0.01). CONCLUSIONS: This study demonstrated that (a) PPARgamma agonists improved insulin sensitivity and ameliorated dyslipidemia in HF fed rats and ZDF rats, which were correlated with serum adiponectin; (b) Serum adiponectin was positively correlated with adipose FABP3 mRNA in GI262570-treated rats. These data suggest that serum adiponectin can serve as a biomarker for both in vivo PPARgamma activation and PPARgamma agonist-induced efficacy on insulin resistance and dyslipidemia in rats.

Tissue expression profiling using real-time PCR.

The recent development of real-time PCR allows for the rapid and accurate quantitation of gene expression in cells and tissues. Real-time PCR instrumentation is designed for the simultaneous quantitation of gene expression from a few samples up to 384 samples. The normal tissue expression profile of a gene can provide useful insights into its potential role in normal physiological processes. When combined with the tissue expression profile of the gene in diseased tissues, information concerning the potential role in pathological processes can be determined. This unit describes a protocol to determine the relative abundance of mRNA in a panel of human tissues using real-time PCR.