The ENPP1 K121Q polymorphism is not associated with type 2 diabetes in northern Chinese

Current Studies on Molecular Mechanisms of Insulin Resistance

Diabetes is a metabolic disease that raises the risk of microvascular and neurological disorders. Insensitivity to insulin is a characteristic of type II diabetes, which accounts for 85-90 percent of all diabetic patients. The fundamental molecular factor of insulin resistance may be impaired cell signal transduction mediated by the insulin receptor (IR). Several cell-signaling proteins, including IR, insulin receptor substrate (IRS), and phosphatidylinositol 3-kinase (PI3K), have been recognized as being important in the impaired insulin signaling pathway since they are associated with a large number of proteins that are strictly regulated and interact with other signaling pathways. Many studies have found a correlation between IR alternative splicing, IRS gene polymorphism, the complicated regulatory function of IRS serine/threonine phosphorylation, and the negative regulatory role of p85 in insulin resistance and diabetes mellitus. This review brings up-to-date knowledge of the roles of signaling proteins in insulin resistance in order to aid in the discovery of prospective targets for insulin resistance treatment.

A Polymorphism in the Gene Encoding the Insulin Receptor Binding Protein ENPP-1 Is Associated with Decreased Glomerular Filtration Rate in an Under-Investigated Indigenous African Population

INTRODUCTION

The C allele of the ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP-1) rs1044498 polymorphism has previously been associated with increased binding of ENPP-1 to the insulin receptor (IR), resulting in decreased IR signalling and enhanced insulin resistance. It has also been associated with reduced kidney function in participants with diabetes of predominantly European and Asian descent. The association of this polymorphism with kidney disease in healthy Black South African participants has yet to be ascertained.

OBJECTIVE

This study, therefore, aimed to determine whether the K121Q polymorphism is associated with estimated glomerular filtration rate (eGFR) in a Black South African cohort.

METHODS

Black South African participants (n = 348) from an existing cohort with known eGFR levels were genotyped for the K121Q polymorphism using PCR-RFLP and assessed for any statistical association between genotype and kidney function.

RESULTS

Individuals with the A allele had significantly lower eGFR levels than individuals with the CC genotype (86.52 ± 18.95 vs. 93.29 ± 23.55 mL/min; p = 0.022). The association of the A allele with lower eGFR levels remained after controlling for sex, blood pressure, insulin resistance, age, smoking, thyroid-stimulating hormone, insulin-like growth factor-1, and BMI (R2 = 0.030, p < 0.001).

CONCLUSION

The rs1044498 A allele was significantly associated with lower eGFR levels in a cohort of apparently healthy Black South Africans, through an unknown mechanism that was independent of insulin resistance. It is possible that the rs1044498 polymorphism affects kidney function by altering the role of ENPP-1 in endothelial wound healing, podocyte signalling, or oxidative stress. Thus, the presence of this polymorphism may predispose individuals to a greater risk of CKD even in the absence of diabetes.

Association and in silico studies of ENPP1 gene variants with type 2 diabetes mellitus in a Northern Iranian population

In the current study, a sample population of Northern Iranians was selected to investigate the association of K121Q, rs1799774, rs7754561, and rs997509 ENPP1 gene variants and their haplotypes with T2DM. Genomic DNAs of 978 samples were extracted by Salting Out standard technique and then genotyped by the TaqMan assay. The results show significant differences between study groups for K121Q (p = 0.0004) under a Dominant and rs7754561 (p = 0.002) under a co-dominant hereditary model. Based on allele frequency, there was a significant difference between two study groups at K121Q and rs7754561 variants (p = 0.010 and p = 0.01, respectively). There was no evidence for an association between ENPP1 haplotypes and overall risk of T2DM. Genotype-phenotype sub-analyses showed no significant relationship of four studied polymorphisms with age, gender, FBS, and systolic and diastolic blood pressures. Homology modeling and molecular docking of ENPP1 in K173 and Q173 models with ATP, AMP, and 2'3'-cGAMP as ligands revealed that all ligands had a more binding affinity to Lys173 protein model, and 2'3'-cGAMP had a higher affinity to both ENPP1 protein models compared to ATP and AMP. These findings suggest that ENPP1 gene variants may have a potential impact on the occurrence of T2DM in Northern Iranians.

The ENPP1 K121Q polymorphism is associated with type 2 diabetes and related metabolic phenotypes in a Taiwanese population

Increased risk of developing type 2 diabetes (T2D) has been associated with a single nucleotide polymorphism (SNP), rs1044498 (K121Q), in the ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1) gene, but this association is unclear among Asians. In this replication study, we reassessed whether the ENPP1 rs1044498 SNP is associated with T2D, obesity, and T2D/obesity-related metabolic traits in a Taiwanese population. A total of 1513 Taiwanese subjects were assessed in this study. The ENPP1 rs1044498 SNP was genotyped by the Taqman assay. T2D/Obesity-related quantitative traits, such as waist circumference and fasting glucose, were measured. Our data showed a significant association of the ENPP1 rs1044498 SNP with T2D (P < 0.001) among the subjects. Moreover, the ENPP1 rs1044498 SNP was significantly associated with T2D/obesity-related metabolic traits, such as waist circumference (P = 0.002) and fasting glucose (P < 0.001), among the subjects. However, we found no association of ENPP1 rs1044498 with obesity (BMI ≧ 27 kg/m(2)). Our study indicates that the ENPP1 rs1044498 SNP is associated with T2D, waist circumference, and fasting glucose in Taiwanese subjects.

Association of the ENPP1 K121Q polymorphism with susceptibility to type 2 diabetes in different populations: evidence based on 40 studies

The K121Q gene polymorphism of ectoenzyme nucleotide pyrophosphate phosphodiesterase 1(ENPP1) has been widely investigated, however, results have been somewhat conflicting. The aim of this meta-analysis was to establish a precise estimation of the association between ENPP1 gene polymorphisms and type 2 diabetes (T2D). A literature search in PubMed, Embase, Cochrane Library and China Biology Medicine (CBM) databases was conducted on publications published prior to November 21(st), 2013. The combined odds ratio (OR) with 95% confidence intervals (95% CI) was calculated to estimate the strength of the association using a random-effects/fixed-effects model. Statistical analyses were performed using the STATA 11.0 software. For the overall population, there was a significant association between ENPP1 gene polymorphisms and T2D when comparing the Q allele versus K allele (OR = 1.29, 95% CI 1.16-1.44, p = 0.000). Considering diverse ethnic groups, effect sizes were consistent for patients of Caucasian and Asian descent (OR = 1.20, 95% CI = 1.08-1.33 and OR = 1.47, 95% CI = 1.15-1.89, respectively); however, effect size was not consistent for those of African descent. Under other models of inheritance, significant associations were also observed. Sensitivity analyses did not leading to differing he results. In summary, the Q allele of the ENPP1 K121Q gene may contribute to the susceptibility for T2D in Caucasians and Asians.

Polycystic ovary syndrome is not associated with genetic variants that mark risk of type 2 diabetes

Polycystic ovary syndrome (PCOS) is a disorder of irregular menses, hyperandrogenism and/or polycystic ovary morphology. A large proportion of women with PCOS also exhibit insulin resistance, β-cell dysfunction, impaired glucose tolerance and/or type 2 diabetes (T2D). We therefore hypothesized that genetic variants that predispose to risk of T2D also result in risk of PCOS. Variants robustly associated with T2D in candidate gene or genome-wide association studies (GWAS; n = 56 SNPs from 33 loci) were genotyped in women of European ancestry with PCOS (n = 525) and controls (n = 472), aged 18-45 years. Metabolic, reproductive and anthropomorphic data were examined as a function of the T2D variants. All genetic association analyses were adjusted for age, BMI and ancestry and were reported after correction for multiple testing. There was a nominal association between variants in KCNJ11 and risk of PCOS. However, a risk score of 33 independent T2D-associated variants from GWAS was not significantly associated with PCOS. T2D variants were associated with PCOS phenotype parameters including those in THADA and WFS1 with testosterone levels, ENPP/PC1 with triglyceride levels, FTO with glucose levels and KCNJ11 with FSH levels. Diabetes risk variants are not important risk variants for PCOS.

Contribution of common variants of ENPP1, IGF2BP2, KCNJ11, MLXIPL, PPARγ, SLC30A8 and TCF7L2 to the risk of type 2 diabetes in Lebanese and Tunisian Arabs

BACKGROUND

While several type 2 diabetes mellitus (T2DM) susceptibility loci identified through genome-wide association studies (GWAS) have been replicated in many populations, their association in Arabs has not been reported. For this reason, the present study looked at the contribution of ENNP1 (rs1044498), IGF2BP2 (rs1470579), KCNJ11 (rs5219), MLXIPL (rs7800944), PPARγ (rs1801282), SLC30A8 (rs13266634) and TCF7L2 (rs7903146) SNPs to the risk of T2DM in Lebanese and Tunisian Arabs.

METHODS

Study subjects (case/controls) were Lebanese (751/918) and Tunisians (1470/838). Genotyping was carried out by the allelic discrimination method.

RESULTS

In Lebanese and Tunisians, neither ENNP1 nor MLXIPL was associated with T2DM, whereas TCF7L2 was significantly associated with an increased risk of T2DM in both the Lebanese [P < 0.001; OR (95% CI): 1.38 (1.20-1.59)] and Tunisians [P < 0.001; OR (95% CI): 1.36 (1.18-1.56)]. Differential associations of IGF2BP2, KCNJ11, PPARγ and SLC30A8 with T2DM were noted in the two populations. IGF2BP2 [P = 1.3 × 10(-5); OR (95% CI): 1.66 (1.42-1.94)] and PPARγ [P = 0.005; OR (95% CI): 1.41 (1.10-1.80)] were associated with T2DM in the Lebanese, but not Tunisians, while KCNJ11 [P = 8.0 × 10(-4); OR (95% CI): 1.27 (1.09-1.47)] and SLC30A8 [P = 1.6 × 10(-5); OR (95% CI): 1.37 (1.15-1.62)] were associated with T2DM in the Tunisians, but not Lebanese, after adjusting for gender and body mass index.

CONCLUSION

T2DM susceptibility loci SNPs identified through GWAS showed differential associations with T2DM in two Arab populations, thus further confirming the ethnic contributions of these variants to T2DM susceptibility.

ENPP1 K121Q polymorphism and type 2 diabetes mellitus in the Chinese population: a meta-analysis including 11,855 subjects

Ectoenzyme nucleotide pyrophosphate phosphodiesterase 1 (ENPP1) K121Q gene polymorphism has been suggested to be associated with the increased risk of developing type 2 diabetes mellitus (T2D), but relevant research results are still contradictory. To explore the relationship between ENPP1 K121Q gene polymorphism and T2D in the Chinese population, a meta-analysis was performed. Fourteen independent studies involving 11 855 subjects were retrieved from electronic databases. The pooled odds ratio (ORs) for the distribution of Q allele frequency of the ENPP1 K121Q gene and its corresponding 95% confidence interval (95% CI) were assessed using a random-effects model. Under an allelic model of inheritance, the distribution of Q allele frequency was 0.107 for the T2D group and 0.093 for the control group. The pooled OR for the distribution of Q allele frequency of ENPP1 K121Q gene was 1.29 (95% CI, 1.09-1.53; P(heterogeneity) = .006; I(2) = 55.6%). There was a significant association between ENPP1 K121Q gene polymorphism and T2D in the Chinese population (P = .003). Under a dominant model of inheritance, the KQ + QQ/KK value was 0.259 for the T2D group and 0.220 for the control group. The pooled OR for the KQ + QQ/KK value was 1.51 (95% CI, 1.20-1.91; P(heterogeneity) < .0001; I(2) = 71.8%). The association between ENPP1 K121Q gene polymorphism and T2D in the Chinese population followed a dominant model of inheritance (P = .0005). In the Chinese population, the ENPP1 K121Q gene polymorphism was implied to be involved with T2D susceptibility. People with the Q allele of the ENPP1 K121Q gene might be predisposed to T2D.

Risk loci on chromosome 8q24 are associated with prostate cancer in northern Chinese men

PURPOSE

Genome-wide association studies have identified several genetic variants at 8q24 that are strongly associated with prostate cancer risk in populations of European, American and Japanese ancestry. We investigated the contribution of these prostate cancer risk variants in the Chinese population.

MATERIALS AND METHODS

We evaluated the association of 14 single nucleotide polymorphisms at 8q24 with prostate cancer risk using high resolution melting curve combined gene sequencing methods in case-control groups, including 265 cases and 288 controls. We explored the association between clinical covariates (age at diagnosis, prostate specific antigen, Gleason score and tumor stage) and risk loci in our study to infer their impact on aggressive prostate cancer.

RESULTS

Four of the 14 single nucleotide polymorphisms were associated with prostate cancer risk, including rs16901966 (OR 1.343, 95% CI 1.029-1.754, p = 0.030), rs1447295 (OR 1.499, 95% CI 1.109-2.027, p = 0.008), rs11986220 (OR 1.589, 95% CI 1.160-2.178, p = 0.004) and rs10090154 (OR 1.571, 95% CI 1.146-2.154, p = 0.005). Haplotype based association analysis of the risk alleles revealed significant differences between cases and controls. The risk alleles of rs16901966, rs1447295, rs11986220 and rs10090154 were associated with age at diagnosis and tumor stage compared with controls while rs16901966 was associated with aggressive prostate cancer (OR 1.538, 95% CI 1.076-2.099, p = 0.018).

CONCLUSIONS

For northern Chinese men rs16901966, rs1447295, rs11986220 and rs10090154 at 8q24 (region 1, region 2) are associated with prostate cancer and prostate cancer related clinical covariates.