Relationship between PPARγ Pro12Ala gene polymorphism and type 2 diabetic nephropathy risk in Asian population: results from a meta-analysis

Abstract

The relationship between peroxisome proliferator-activated receptor gamma (PPARγ) Pro12Ala gene polymorphism and type 2 diabetic nephropathy (T2DN) risk in Asians is still unclear. This study was performed to evaluate if there was an association between the PPARγ Pro12Ala gene polymorphism and T2DN risk in Asians using meta-analysis. The relevant reports were searched and identified from PubMed, Cochrane Library and CBM-disc (China Biological Medicine Database) on 1 October 2013, and eligible studies were included and synthesized. Ten reports were recruited into this meta-analysis for the association of the PPARγ Pro12Ala gene polymorphism with T2DN risk. The Pro12Ala gene polymorphism in the Asian population was shown to be not associated with T2DN risk (Ala/Ala: OR?=?0.67, 95% CI: 0.22–2.00, p?=?0.47; Pro/Pro: OR?=?1.77, 95% CI: 0.82–1.65, p?=?0.39; Ala allele: OR?=?0.74, 95% CI: 0.47–1.16, p?=?0.19). In the sensitivity analysis according to Hardy-Weinberg equilibrium (HWE), the control source from hospital, the control source from population, the genotyping methods using PCR-RFLP, the genotyping methods using Taqman, sample size of case (≥100), the association of the PPARγ Pro12Ala gene polymorphism with T2DN risk was also not found. Interestingly, in the sensitivity analysis according to sample size of case (<100), Ala allele was associated with T2DN risk, but not the Pro/Pro genotype. However, the sample size for sensitivity analysis according to sample size of case (<100) was relatively small and therefore, the results should be interpreted with care. In conclusion, the PPARγ Pro12Ala gene polymorphism was not associated with T2DN risk in Asians. However, Ala allele was associated with T2DN risk when the sample size of case was less than 100. Nonetheless, additional studies are required to firmly establish a correlation between the PPARγ Pro12Ala gene polymorphism and T2DN risk in Asians.     

Association of peroxisome proliferator-activated receptorγ gene Pro12Ala and C161T polymorphisms with cardiovascular risk factors in maintenance hemodialysis patients

The Pro12Ala and C161T polymorphisms in peroxisome proliferator-activated receptor γ (PPARγ) have been shown to be associated with carotid artery atherosclerosis. It remains unclear whether these two polymorphisms are associated with risk factors for cardiovascular disease (CVD) in hemodialysis (HD) patients. Therefore, the PPARγ genotypes in 99 HD patients and 149 controls were determined, and clinical characteristics among the different genotypes were compared. We found that the frequency of the Pro12Ala and C161T polymorphisms in HD patients was similar to that in healthy controls, but C161T polymorphism and T allele frequencies in HD patients with CVD were lower than that in HD patients without CVD. Carotid artery plaque (CAP) and carotid intima-media thickness (CIMT) in HD patients with CT + TT or Pro12Ala genotypes were also less than that in patients with CCor Pro12Pro genotypes, respectively. HD patients with CT + TT genotype had lower serum C reactive protein (CRP) levels, as well as higher triceps skin fold (TSF) thickness, mid arm circumference (MAC) and mean mid arm circumference (MMAC) than HD patients with CC genotype (P < 0.05). Moreover, CIMT of the Pro12Ala-CT161 subgroup was less than the Pro12Pro-CC161 and Pro12Pro-CT161 subgroup, and, CAP amounts of the Pro12Ala-CT161 subgroup was less than the Pro12Pro-CC161 subgroup. Our results indicate that the Pro12Ala and C161T polymorphisms were associated with some important risk factors for CVD in HD patients in the Han Chinese population.     

Effects of Pro12Ala polymorphism in peroxisome proliferator-activated receptor-γ2 gene on metabolic syndrome risk: A meta-analysis

Background

Associations between peroxisome proliferator-activated receptor γ2 (PPARγ2) gene polymorphism and metabolic syndrome risk remained controversial and ambiguous. Thus, we performed a meta-analysis to assess the association between Pro12Ala polymorphism in PPARγ2 gene and metabolic syndrome susceptibility.

Methods

An electronic literature search was conducted on Medline, OVID, Cochrane Library database, and the China National Knowledge Internet up to March 2013. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to calculate the strength of association in the fixed or random effects model.

Results

Ten studies involving a total of 4456 cases and 10343 controls were included in this meta-analysis. No statistical evidence of association was found between Pro12Ala polymorphism and metabolic syndrome risk in all genetic models (homozygote model: OR = 0.83, 95% CI = 0.62–1.12; heterozygote model: OR = 1.04, 95% CI = 0.94–1.14; dominant model: OR = 1.02, 95% CI = 0.93–1.12; recessive model: OR = 0.83, 95% CI = 0.62–1.11). No statistical evidence of significant association was observed when stratified by ethnicity, definition of metabolic syndrome, source of control groups and quality score of the selected articles. All in all, the results did not support a major role of the Pro12Ala variant of the PPARγ2 gene in metabolic syndrome risk.

Conclusions

This meta-analysis suggested that the effect of Pro12Ala polymorphism in PPARγ2 gene may not be related to metabolic syndrome as an entity. However, Pro12Ala may affect the single component of metabolic syndrome. A large, well designed study is required to more adequately assess the role for Pro12Ala polymorphism on metabolic syndrome.     

Association between C1431T polymorphism in peroxisome proliferator-activated receptor-γ gene and coronary artery disease in Chinese Han population

The C1431T polymorphism in peroxisome proliferator-activated receptor-γ (PPARγ) has been shown to be associated with diabetes, obesity, and metabolic syndrome. However, it is unclear whether this polymorphism is associated with coronary artery disease (CAD). Therefore, we conducted a hospital-based case–control study with 864 CAD patients and 1008 controls to explore the association between the PPARγ C1431T polymorphism and risk of CAD in Chinese Han population. Subjects with the variant genotypes (CT + TT) had a 39% decreased risk of CAD relative to CC carriers (adjusted odds ratio, 0.61; 95% confidence interval, 0.49–0.76). Our results suggested that the C1431T polymorphism was associated with a higher body mass index in both CAD patients and controls. Moreover, this polymorphism was also found to be associated with a higher HDL cholesterol level and a lower blood glucose level in CAD patients. In stratified analyses, the T allele was significantly associated with reduced risk of CAD in males, subjects with age <62 years, and non-smokers. In conclusion, the PPARγ C1431T polymorphism is associated with decreased risk of CAD in Chinese Han population.     

D2 Thr92Ala and PPARγ2 Pro12Ala polymorphisms interact in the modulation of insulin resistance in type 2 diabetic patients

Type 2 deiodinase (D2) converts T4 into its active metabolite T3, an essential step in thyroid metabolism. A Thr92Ala polymorphism in the gene encoding D2 has been inconsistently associated with insulin resistance (IR). Recently, it was reported that the D2 Thr92Ala (rs225014) and the peroxisome proliferator-activated receptor (PPAR) γ2 Pro12Ala (rs1801282) polymorphisms interact in the modulation of metabolic syndrome in nondiabetic subjects. Here, we investigated the effect of both polymorphisms, isolated or in combination, on IR in patients with type 2 diabetes mellitus (DM2). The D2 Thr92Ala and PPARγ2 Pro12Ala polymorphisms were genotyped in 721 DM2 patients. IR was evaluated using the homeostasis model assessment-IR (HOMA(IR)) index in a subgroup of 246 DM2 subjects. The frequencies of D2 Ala92 and PPARγ2 Ala12 variants were 0.390 and 0.074, respectively. Patients carrying D2 Ala/Ala genotype had a higher fasting plasma insulin and HOMA(IR) index as compared to patients carrying Thr/Ala or Thr/Thr genotypes (P = 0.022 and P = 0.001, respectively). A significant synergistic effect was observed between D2 Thr92Ala and PPARγ2 Pro12Ala polymorphisms on HOMA(IR) index, with carriers of both D2 Ala/Ala genotype and PPARγ2 Ala12 allele showing the highest HOMA(IR) values, after adjusting for age, gender, BMI, and use of medication for DM2 (P = 0.010). In conclusion, DM2 patients harboring both D2 Ala/Ala genotype and PPARγ2 Ala12 allele seem to present more severe IR than those with other D2/PPARγ2 genotype combinations. These findings suggest that these polymorphisms interact in the IR modulation, which may constitute a potential therapeutic target.     

The C161T polymorphism in the peroxisome proliferator-activated receptor gamma gene (PPARγ) is associated with risk of coronary artery disease: a meta-analysis

The researches attempting to associate the PPARγ C161T polymorphism with coronary artery disease (CAD) yielded complicated and contradictory results. We aimed for more precise estimate of the relationship and conducted a comprehensive meta-analysis. Publications written in English or Chinese were screened in MEDLINE, Embase, CNKI, Wanfang and CBM. Data on 11 studies including 3,020 cases and 2,853 controls were extracted. A random-effects model was available to synthesize the inconsistent outcomes of the individual studies, while addressing between-study heterogeneity and publication bias. The PPARγ C161T polymorphism followed Hard-Weinberg Equilibrium for all studies (P > 0.05).Overall, there was no evidence for a significant association under all genetic models but with distinct heterogeneity (T vs. C: P = 0.29, OR = 0.91, 95 %CI 0.77–1.08, P _{heterogeneity} = 0.004, I ² = 61.2 %). However, in the subgroup analysis by ethnicity, the T allele carriers showed a prominent 26 % risk reduction of CAD among Chinese (dominant genetic model: P = 0.03, 95 %CI 0.57–0.97, P _{heterogeneity} = 0.03, I ² = 56.1 %). After dividing into population source, the significance of CAD risk reduction was strengthened in hospital-based studies (allele comparison: P = 0.04, OR = 0.82, 95 %CI 0.67–1.00, P _{heterogeneity} = 0.04, I ² = 52.5 %; dominant model: P = 0.01, OR = 0.73, 95 %CI 0.57–0.92, P _{heterogeneity} = 0.05, I ² = 50.8 %). There was no obvious publication bias verified in the method of funnel plot and Egger’s linear regression test (t = ?0.11, P = 0.913). Taken together, our results revealed the PPARγ C161T polymorphism might play a moderate protective effect on developing CAD among Chinese, but not among Caucasians.     

Molecular & biochemical analysis of Pro12Ala variant of PPAR-γ2 gene in type 2 diabetes mellitus

Diabetes has emerged as a major threat to human life globally. Genomic studies have found a significant link between the Pro12Ala polymorphism of the PPAR-γ2 gene with incidence as well as occurrence of the risk of metabolic syndrome. The present study was aimed at assessing the PPAR-γ2 variant in an Asian Indian cohort of type 2 diabetes patients and its correlation with metabolic parameters. The present case-control study involved 100 type 2 diabetic patients and 100 asymptomatic healthy volunteers enrolled in random. Assessment of demographic factors and biochemical parameters were done for all enrolled. In addition, genotyping for the Pro12Ala (CCA to GCA) polymorphism was done by polymerase chain reaction - restriction fragment length polymorphism (PCR-RFLP) technology. The genotyping study detected the frequency of the CC genotype (Pro12Pro) to be higher in frequency in comparison to the heterozygous CG genotype in both, cases and controls. The homozygous GG genotype (Ala12Ala) was not detected in any of the cases or controls assessed. Biochemical analysis of the levels of malondialdehyde (MDA) detected a significant increase (p < 0.0001). Additionally, increase in levels of fasting and postprandial glucose, total cholesterol, triglycerides, and parameters of the liver and renal function tests were detected. This study detected the PPAR-γ2 to be a significant biomarker for type 2 diabetes mellitus.     

The protective role of peroxisome proliferator-activated receptor γ coactivator-1α in hyperthyroid cardiac hypertrophy

Heart failure is a major cause of death throughout the world. Hyperthyroidism has been shown to induce cardiac hypertrophy, which is a contributing factor to heart failure. However, the mechanism underling effect of thyroid hormone is not completely clear. The present study investigates the role of peroxisome proliferator-activated receptor (PPAR) γ coactivator-1α (PGC-1α) in cardiac hypertrophy induced by Triiodothyronine (T3). We investigated PGC-1α mRNA expression in rat hearts exposed to T3 in vivo and ex vivo. Surprisingly, we found that the extended periods of T3 treatment led to an increase in PGC-1α expression compared to shorter treatment times, which resulted in a reduction of PGC-1α expression. Mechanistic studies showed that suppression of PGC-1α by small interfering RNA in cardiomyocytes amplified the cellular hypertrophic response to T3 stimulation, whereas overexpression of PGC-1α was protective. Furthermore, we presented evidence to show that T3 decreased PGC-1α expression via p38 mitogen-activated protein kinases (MAPK) pathway. Our studies also revealed that overexpression of PGC-1α in cardiomyocytes inhibited basal and T3-induced p38 MAPK phosphorylation. These data indicate for the first time that PGC-1α plays protective role in T3-induced cardiac hypertrophy and that hypertrophic growth induced by T3 involves a regulatory pathway between PGC-1α and p38 MAPK.     

Association between the Pro12Ala polymorphism of PPAR-γ gene and the non-alcoholic fatty liver disease: A meta-analysis

Several studies have been conducted to examine the association between PPAR-γ2 Pro12Ala polymorphism and non-alcoholic fatty liver disease (NAFLD), but the results remain inconsistent. In this study, a meta-analysis was performed to assess the association of PPAR-γ Pro12Ala polymorphism with NAFLD risk. A total of 8 case–control studies, including 1697 cases and 2427 controls, were selected. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated using fixed- or random-effects model. Overall, no evidence has indicated that the Pro12Ala polymorphism was associated with the susceptibility to NAFLD. Besides, stratified analysis with ethnicity also indicated that no significant association between PPAR-γ Pro12Ala and the risk of NAFLD under all for genetic model in both Asian and Caucasian populations was observed. This meta-analysis indicated that the Pro12Ala polymorphism is not associated with NAFLD risk. Large and well-designed studies are warranted to validate our findings.     

Stable reporter cell lines for peroxisome proliferator-activated receptor γ (PPARγ)-mediated modulation of gene expression

Phosphatidylinositol (PtdIns) is phosphorylated at D-3, D-4, and/or D-5 of the inositol ring to produce seven distinct lipid second messengers known as phosphoinositides (PIs). The PI level is temporally and spatially controlled at the cytosolic face of the cellular membrane. Effectors containing PI-binding domains (e.g., PH, PX, FYVE, ENTH, FERM) associate with specific PIs. This process is crucial for the localization of a variety of cell-signaling proteins, thereby regulating intracellular membrane trafficking, cell growth and survival, cytoskeletal organization, and so on. However, quantitative assessments of protein–PI interactions are generally difficult due to insolubility of PIs in aqueous solution. Here we incorporated PIs into a lipid–protein nanoscale bilayer (nanodisc), which is applied for studying the protein–PI interactions using pull-down binding assay, fluorescence polarization, and nuclear magnetic resonance studies, each facilitating fast, quantitative, and residue-specific evaluation of the protein–PI interactions. Therefore, the PI-incorporated nanodisc could be used as a versatile tool for studying the protein–lipid interactions by various biochemical and biophysical techniques.     

Association between the Pro12Ala polymorphism of PPAR-γ gene and the polycystic ovary syndrome: a meta-analysis of case-control studies

Several studies have been conducted to examine the association between PPAR-γ2 Pro12Ala polymorphism and polycystic ovary syndrome (PCOS), but the results remain inconsistent. To make a more precise estimation of the relationship, a meta-analysis was performed. In the current meta-analysis, a total of 17 case-control studies, including 2176 cases and 2373 controls, were selected. Odds ratios (ORs) and 95% confidence intervals (CIs) for Pro/Ala+Ala/Ala versus Pro/Pro genotype in all population and different nationality groups, and homeostasis model assessment-insulin resistance (HOMA-IR) of different genotype were evaluated. In the overall analysis, significant association between PPAR-γ2 Pro12Ala polymorphism and reduced risk of PCOS was observed (OR=0.75; 95%CI, 0.62-0.91; p=0.003). Stratified analysis showed that significantly strong association was presented only in Europeans (OR=0.74; 95%CI, 0.60-0.90; p=0.003), but not in Asians (OR=0.86; 95%CI, 0.51-1.43; p=0.56). Additionally, carrying the Ala12 allele was not associated with HOMA-IR in PCOS patients (OR=-0.29; 95%CI, -0.82-0.24; p=0.29). This meta-analysis supported that PPAR-γ2 Pro12Ala polymorphism was capable of reducing polycystic ovary syndrome risk in Europeans, but not in Asians.     

Stable reporter cell lines for peroxisome proliferator-activated receptor γ (PPARγ)-mediated modulation of gene expression

Activation of peroxisome proliferator-activated receptor γ (PPARγ) by ligands is associated with beneficial health effects, including anti-inflammatory and insulin-sensitizing effects. The aim of the current study was to develop luciferase reporter gene assays to enable fast and low-cost measurement of PPARγ agonist and antagonist activity. Two reporter gene assays, PPARγ1 CALUX and PPARγ2 CALUX, were developed by stable transfection of U2OS cells with an expression vector for PPARγ1 or PPARγ2 and a pGL3–3xPPRE–tata-luc or pGL4–3xPPRE–tata-luc reporter construct, respectively. PPARγ1 CALUX and PPARγ2 CALUX cells showed similar concentration-dependent luciferase induction upon exposure to the PPARγ agonists rosiglitazone, troglitazone, pioglitazone, ciglitazone, netoglitazone, and 15-deoxy-Δ^12,14-prostaglandin J₂. The potency to induce luciferase decreased in the following order: rosiglitazone > troglitazone = pioglitazone > netoglitazone > ciglitazone. A concentration-dependent decrease in the response to 50 nM rosiglitazone was observed on the addition of PPARγ antagonist GW9662 or T0070907 in both PPARγ1 CALUX and PPARγ2 CALUX cells. The PPARα agonists WY14643 and fenofibrate failed to induce luciferase activity, confirming the specificity of these cell lines for PPARγ agonists. In conclusion, PPARγ1 CALUX and PPARγ2 CALUX cells provide a reliable and useful tool to screen (bio)chemicals for PPARγ agonist or antagonist activity.     

Adiponectin and peroxisome proliferator-activated receptor-γ gene polymorphisms and gene-gene interactions with type 2 diabetes

Aims

To investigate whether gene polymorphisms of both adiponectin and peroxisome proliferator-activated receptor gamma (PPARγ) influence type 2 diabetes mellitus (T2DM) respectively in the Han people of the Wenzhou region of China and whether the interaction of gene polymorphism between adiponectin and PPARγ influences T2DM in the same subjects.

Main methods

This study included 198 patients with T2DM and 255 healthy individuals. Polymerase chain reaction–restriction fragment length polymorphism analyses were used to detect single nucleotide polymorphisms (SNPs). Logistic regression and multifactor dimensionality reduction (MDR) methods were used to analyze gene–gene interactions.

Key findings

The frequency distribution of adiponectin SNP11377 was not different (p = 0.792), but the frequency of CC, CG and GG genotypes showed the difference between two groups (T2DM: 57.1%, 33.3%, and 9.6%; control: 53.7%, 41.6%, and 4.7%, respectively; p = 0.047). Adiponectin SNP45, SNP276 and PPAR γ SNPp12a were equally distributed between the two groups (p = 0.586, 0.119, 0.437, respectively), and there were no significant differences in genotype frequencies between the two groups (p = 0.751, 0.144, 0.479, respectively). Linkage disequilibrium existed between SNP11377 and SNP45 (p < 0.001) and SNP45 and SNP276 (p < 0.001). Haplotype analyses showed no significant differences between the T2DM and control groups. According to the logistic regression and MDR gene–gene interaction analyses, SNP11377GG and SNP276GT interactions increased the risk of T2DM (odds ratio = 6.984, p = 0.012).

Significance

Adiponectin SNP11377 and SNP276 gene–gene interactions are associated with the increased risk of T2DM in this population.