Uncoupling protein 2 promoter polymorphism -866G/A affects its expression in beta-cells and modulates clinical profiles of Japanese type 2 diabetic patients.
ABSTRACT Common uncoupling protein 2 (UCP2) promoter polymorphism -866G/A is reported to be associated with its expression in adipose tissue and the risk of obesity in Caucasians. On the other hand, several studies suggested that UCP2 expression in beta-cells is an important determinant of insulin secretion. In the Japanese population, morbid obesity is very rare, and insulin secretion capacity is relatively low as compared with Caucasians. Because UCP2 would link to insulin secretion and obesity, it might explain this ethnic difference. Here, we report that the UCP2 promoter with the A allele showed higher promoter activity in the INS-1 beta-cell line. The frequency of the A allele is higher in our Japanese study than that in Caucasians. Type 2 diabetic patients with the A allele need insulin therapy earlier and showed higher frequency of insulin treatment. Moreover glucose-induced early insulin secretion is significantly lower in patients with the A allele. However, there was no difference in allele frequency between obese and lean type 2 diabetic patients. In conclusion, UCP2 promoter polymorphism -866G/A does not affect obesity in Japanese type 2 diabetic patients but affects its transcription in beta-cells and modulates glucose-induced insulin secretion and eventually insulin requirement in Japanese type 2 diabetic patients. Higher A allele frequency in the Japanese population might partly explain the ethnic difference of insulin secretion capacity.
Article: Associations between UCP1 -3826A/G, UCP2 -866G/A, Ala55Val and Ins/Del, and UCP3 -55C/T Polymorphisms and Susceptibility to Type 2 Diabetes Mellitus: Case-Control Study and Meta-Analysis.[show abstract] [hide abstract]
ABSTRACT: Some studies have reported associations between five uncoupling protein (UCP) 1-3 polymorphisms and type 2 diabetes mellitus (T2DM). However, other studies have failed to confirm the associations. This paper describes a case-control study and a meta-analysis conducted to attempt to determine whether the following polymorphisms are associated with T2DM: -3826A/G (UCP1); -866G/A, Ala55Val and Ins/Del (UCP2) and -55C/T (UCP3). The case-control study enrolled 981 T2DM patients and 534 nondiabetic subjects, all of European ancestry. A literature search was run to identify all studies that investigated associations between UCP1-3 polymorphisms and T2DM. Pooled odds ratios (OR) were calculated for allele contrast, additive, recessive, dominant and co-dominant inheritance models. Sensitivity analyses were performed after stratification by ethnicity. In the case-control study the frequencies of the UCP polymorphisms did not differ significantly between T2DM and nondiabetic groups (P>0.05). Twenty-three studies were eligible for the meta-analysis. Meta-analysis results showed that the Ala55Val polymorphism was associated with T2DM under a dominant model (OR = 1.27, 95% CI 1.03-1.57); while the -55C/T polymorphism was associated with this disease in almost all genetic models: allele contrast (OR = 1.17, 95% CI 1.02-1.34), additive (OR = 1.32, 95% CI 1.01-1.72) and dominant (OR = 1.18, 95% CI 1.02-1.37). However, after stratification by ethnicity, the UCP2 55Val and UCP3 -55C/T alleles remained associated with T2DM only in Asians (OR = 1.25, 95% CI 1.02-1.51 and OR = 1.22, 95% CI 1.04-1.44, respectively; allele contrast model). No significant association of the -3826A/G, -866G/A and Ins/Del polymorphisms with T2DM was observed. In our case-control study of people with European ancestry we were not able to demonstrate any association between the UCP polymorphisms and T2DM; however, our meta-analysis detected a significant association between the UCP2 Ala55Val and UCP3 -55C/T polymorphisms and increased susceptibility for T2DM in Asians.PLoS ONE 01/2013; 8(1):e54259. · 4.09 Impact Factor
Dataset: UCP2 review
Article: Interaction between the UCP2 -866 G>A polymorphism, diabetes, and beta-blocker use among patients with acute coronary syndromes.[show abstract] [hide abstract]
ABSTRACT: UCP2 -866G>A (rs659366) has been implicated in cardiometabolic disease and represents a novel candidate gene for beta-blocker response, particularly among patients with diabetes. We assessed the function of -866G>A and its role as a modifier of beta-blocker treatment outcomes by diabetes status in an acute coronary syndrome (ACS) cohort. ACS patients with genetic samples and 12 months of follow-up for cardiac rehospitalizations or death (n=468) were assessed. The influence of -866G>A on beta-blocker treatment outcomes was evaluated in those with diabetes and without. To assess functional correlates of -866G>A, we compared uncoupling protein 2 (UCP2) expression in the skeletal muscle of obese participants by genotype and compared the activity of UCP2 luciferase promoters with -866G and -866A alleles. An interaction between -866G>A and beta-blocker treatment was found in individuals with diabetes (P=0.002) but not those without (P=0.79). Among G/G individuals with diabetes, discharge beta-blocker use was associated with an 80% reduction in cardiac rehospitalization (adjusted hazard ratio: 0.20; 95% confidence interval: 0.04-1.02). In contrast, among A-carrier patients with diabetes, there was an 11-fold increase in cardiac rehospitalizations with discharge beta-blocker therapy (adjusted hazard ratio: 11.75; 95% confidence interval: 1.28-108.2). Promoter activity assays showed that -866G had greater cyclic AMP response element binding protein-responsiveness compared with -866A, and compared with -866A carriers G/G individuals exhibited increased UCP2 expression in the skeletal muscle. We identified a significant interaction between -866G>A and beta-blocker response among ACS patients with diabetes. Furthermore, -866G conferred greater gene transcriptional activity than -866A in cell lines and in obese patients. These findings may help us gain insight into the mechanisms underlying the beneficial and detrimental effects of beta-blockers in those with diabetes.Pharmacogenetics and Genomics 02/2010; 20(4):231-8. · 3.48 Impact Factor