👤 Nobuyuki Hamajima

Although many single nucleotide polymorphisms (SNPs) have been identified to be associated with metabolic syndrome (MetS), there was only a slight improvement in the ability to predict future MetS by the simply addition of SNPs to clinical risk markers. To improve the ability to predict future MetS, combinational effects, such as SNP-SNP interaction, SNP-environment interaction, and SNP-clinical parameter (SNP × CP) interaction should be also considered. We performed a case-control study to explore novel SNP × CP interactions as risk markers for MetS based on health check-up data of Japanese male employees. We selected 99 SNPs that were previously reported to be associated with MetS and components of MetS; subsequently, we genotyped these SNPs from 360 cases and 1983 control subjects. First, we performed logistic regression analyses to assess the association of each SNP with MetS. Of these SNPs, five SNPs were significantly associated with MetS (P < 0.05): LRP2 rs2544390, rs1800592 between UCP1 and TBC1D9, APOA5 rs662799, VWF rs7965413, and rs1411766 between MYO16 and IRS2. Furthermore, we performed multiple logistic regression analyses, including an SNP term, a CP term, and an SNP × CP interaction term for each CP and SNP that was significantly associated with MetS. We identified a novel SNP × CP interaction between rs7965413 and platelet count that was significantly associated with MetS [SNP term: odds ratio (OR) = 0.78, P = 0.004; SNP × CP interaction term: OR = 1.33, P = 0.001]. This association of the SNP × CP interaction with MetS remained nominally significant in multiple logistic regression analysis after adjustment for either the number of MetS components or MetS components excluding obesity. Our results reveal new insight into platelet count as a risk marker for MetS. Show less

Chronic kidney disease (CKD) is known to be one of the causes of cardiovascular disease and end-stage renal disease. Among the several treatable risk factors of CKD, that of dyslipidemia is relatively controversial. To clarify the association of polymorphisms in genes involved in lipid metabolism with the risk of CKD in the Japanese population, we used cross-sectional data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. A total of 3,268 men and women, aged 35-69 years, were selected from J-MICC Study participants for inclusion in this study. Twenty-eight candidate single nucleotide polymorphisms (SNPs) were selected in 17 genes associated with the risk of lipid metabolism disorders, and genotyping of the subjects was conducted using the multiplex PCR-based invader assay. The prevalence of CKD was determined for stages 3-5 (defined as estimated glomerular filtration rate <60 ml/min/1.73 m2). Logistic regression analysis revealed that SNPs APOA5 T - 1131C (rs662799), APOA5 T1259C (rs2266788), TOMM40 A/G (rs157580), and CETP TaqIB (rs708272) were significantly associated with CKD risk in those individuals genotyped, with age- and sex-adjusted odds ratios (ORs) per minor allele (and 95% confidence intervals (CIs)) of OR 1.22 (95% CI: 1.06-1.39), 1.19 (1.03-1.37), 1.27 (1.12-1.45), and 0.81 (0.71-0.92), respectively. Analysis of the gene-environment interaction revealed that body mass index (BMI) was a significant effect modifier for APOA5 T - 1131C (rs662799) and a marginally significant effect modifier for APOA5 T/C (rs2266788), with the interaction between BMI ≥30 and individuals with at least one minor allele of each genotype of OR 10.43 (95% CI: 1.29-84.19) and 3.36 (0.87-13.01), respectively. Four polymorphisms in APOA5, TOMM40, and CETP were shown to be significantly associated with CKD risk, and a significant interaction between the two APOA5 SNPs and BMI on CKD risk was also demonstrated. This suggests the future possibility of personalized risk estimation for this life-limiting disease. Show less

This study examined the associations of the APOA5 T-1131C (rs662799), G553T (Cys185Gly, rs2075291), GCK G-30A (rs1799884), GCKR A/G at intron 16 (rs780094) and T1403C (Leu446Pro, rs1260326) polymorphisms with serum lipid and glucose levels in Japanese, considering lifestyle factors. Study subjects were 2,191 participants (aged 35-69 years, 1,159 males) enrolled in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. Dyslipidemia was defined as fasting serum triglycerides (FTG) ≥ 150 mg/dL and/or HDL-cholesterol (HDL-C) < 40 mg/dL, while dysglycemia was as fasting blood sugar (FBS) ≥ 110 mg/dL. When those with APOA5 -1131 T/T or 553 G/G were defined as references, those with APOA5 -1131 T/C, C/C or 553 G/T, T/T demonstrated significantly elevated risk of dyslipidemia (age- and sex-adjusted odds ratio: 1.77 [95% confidence interval:1.39-2.27], 3.35 [2.41-4.65], 2.23 [1.64-3.02] and 13.78 [3.44-55.18], respectively). Evaluation of FTG, HDL-C or FBS levels according to the genotype revealed that FTG and HDL-C levels were significantly associated with the APOA5 T-1131C and G553T polymorphisms, FTG with the GCKR rs780094 and rs1260326 polymorphisms, and FBS with the GCKR rs780094 and rs1260326 polymorphisms. Moreover, a significant positive interaction between APOA5 553 G/T+T/T genotypes and fat intake ≥ 25% of total energy for the risk of dyslipidemia was observed. Our cross-sectional study confirmed the essential roles of the polymorphisms of the APOA5, GCK and GCKR in the lipid or glucose metabolism disorders, and suggested the importance of fat intake control in the individualized prevention of dyslipidemia. Show less