Journal List > Korean Diabetes J > v.32(3) > 1002216

Kim, Kim, Doh, Kim, Kim, Park, Kim, Park, Yoo, Kim, Kim, and Lee: Association of the Polymorphisms in the PSMA6 (rs1048990) and PSMB5 (rs2230087) Genes with Type 2 Diabetes in Korean Subjects

Abstract

Background

The 26S ubiquitin-proteasome system (UPS) is a principal proteolytic pathway of intracellular molecules regulating apoptosis, cell cycle, cell proliferation or differentiation, inflammation and etc. The recent study suggests that the rs1048990 (C/G) polymorphism of the proteasome subunit α type 6 (PSMA6) gene is associated with the increase of the risk of myocardial infarction by the dysregulation of IκB degradation. We hypothesized that 26S UPS is important in the development of insulin resistance and type 2 diabetes (T2DM) by controlling the degradation of IκB and insulin receptor substances as a substrate. We therefore investigated whether the rs1048990 (C/G) polymorphism of PSMA6 gene and the rs2230087 (G/A) polymorphism of proteasome subunit β type 5 gene (PSMB5), that is chymotrypsin-like protease determining the rate of proteolysis, are associated with susceptibility to T2DM in Korean subjects.

Methods

We examined the polymorphisms of these genes in 309 diabetic subjects and 170 non-diabetic controls. The polymorphisms of rs1048990 (C/G) and rs2230087 (G/A) were genotyped by real-time PCR.

Results

The frequency of the G allele of rs1048990 (C/G) and the A allele of rs2230087 (G/A) polymorphisms was significantly higher in diabetic patients (28% and 13%) compared to that in controls (13% and 1%; P = 0.000 and P = 0.000, respectively). Logistic regression analysis of the rs1048990 (C/G) polymorphism showed that the odds ratio (OR) (adjusted for age, smoking, waist circumference, fasting plasma glucose, systolic blood pressure, HDL-C, triglyceride, and total cholesterol) was 3.93 (95% confidence interval [CI], 2.35-6.59; P = 0.000) for the G allele and 5.09 (95% CI, 2.71-9.57; P = 0.000) for CG and GG genotype when compared with the CC genotype. Logistic regression analysis of the rs2230087 (G/A) polymorphism showed that the adjusted OR was 5.70 (95% CI, 1.63-19.98; P = 0.007) for the A allele and 6.08 (95% CI, 1.66-22.29; P = 0.006) for GA and AA genotype when compared with the GG genotype. In multiple logistic regression analysis with T2DM as the independent Variable rs1048990 (C/G) and rs2230087 (G/A) polymorphisms were the predictor for T2DM.

Conclusion

We suggest that the G allele of rs1048990 (C/G) polymorphism and the A allele of rs2230087 (G/A) polymorphism may be genetic risk factor to type 2 diabetes mellitus in Korean subjects.

Figures and Tables

Table 1
Clinical and metabolic characteristics of study subjects
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Values are presented as mean ± SD. BP, blood pressure; BMI, body mass index; FBS, fasting blood glucose; HBA1c glycosylated hemoglobin A1c; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; s-Cr serum creatinine; T-chol, total cholesterol; TG, triglyceride; WHR waist-hip ratio.

Table 2
Genotype distribution of rs1048990 and rs2230087 polymorphisms in controls and diabetic patients
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Genotype distributions are shown as number (%). Comparisons were performed by Fisher's exact test.

Table 3
Genotype distribution and allele frequency of rs1048990 and rs2230087 polymorphisms in controls and diabetic patients
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Genotype distributions are shown as number (%). Comparisons were performed by Fisher's exact test. CI, confidence interval; OR, Odds ratio.

Table 4
Age- and sex- adjusted or multivariate-adjusted ORs and 95% CIs of rs1048990 (A) and rs2230087 (B) polymorphisms in controls and diabetic patients
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*Odds ratio adjusted for age, fasting plasma glucose, HDL-cholesterol, smoking, systolic blood pressure, total cholesterol, triglyceride, waist circumference by logistic regression analysis. CI, confidence interval; OR, Odds ratio.

Table 5
Associations between rs1048990 and rs2230087 polymorphisms and the risk of type 2 diabetes
kdj-32-204-i005

Genotype distributions are shown as number (%). Odds ratio (OR), 95% CI and P values were from logistic regression analyses with the dominant, Additive and recessive models. *N/A, Not applicable.

Table 6
Clinical and metabolic characteristics according to genotypes
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Values are presented as mean ± SD. *P < 0.05. P < 0.05, Significant even after adjustment for sex by binary logistic regression analysis. Smoking: current or previous history of smoking. Other abbreviations see in Table 1.

Table 7
Multiple logistic regression analysis with T2DM as the dependent variables
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CI, confidence interval; OR, Odds ratio.

Table 8
The distribution of the genotype combination of the rs1048990 and rs2230087 and the risk of type 2 DM
kdj-32-204-i008

*Odds ratio adjusted for age, fasting plasma glucose, HDL-cholesterol, smoking, systolic blood pressure, total cholesterol, triglyceride, waist circumference by logistic regression analysis. N/A: Not applicable. CI, confidence interval; OR, Odds ratio.

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