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Association between polymorphisms of the ?-kinase 1 gene and type 2 diabetes mellitus in community-dwelling individuals.

ABSTRACT: We previously demonstrated that the ?-kinase 1 gene (ALPK1) is a susceptibility locus for chronic kidney disease in individuals with diabetes mellitus (DM) by a genome-wide association study. Although genetic variants of ALPK1 have been associated with chronic kidney disease in individuals with DM, whether ALPK1 is a susceptibility locus for DM has not been elucidated. The purpose of the present study was to investigate a possible association of the rs2074388 (A?G, Asp565Gly) or rs2074379 (A?G, Ile732Met) variants of ALPK1 with type 2 DM in community-dwelling individuals. The study subjects comprised 5,959 community-dwelling individuals (495 subjects with type 2 DM and 5,464 controls) who were recruited to a population-based cohort study in Inabe, Mie, Japan. The comparisons of allele frequencies or genotype distributions using the Chi-square test revealed that the rs2074388 and rs2074379 variants of ALPK1 were significantly associated with type 2 DM (P<0.05). A multivariable logistic regression analysis with adjustment for age, gender, body mass index and smoking status revealed that the rs2074388 (P=0.0051; odds ratio, 1.32) and rs2074379 (P=0.0058; odds ratio, 1.32) variants were significantly associated with type 2 DM. The haplotype analysis of these polymorphisms revealed that the frequency of the major haplotype, A (rs2074388)-A (rs2074379), was significantly lower, whereas that of the minor haplotype G-G was significantly higher in subjects with type 2 DM compared to controls. Thus, ALPK1 may be a susceptible gene for type 2 DM in community-dwelling Japanese individuals.

SUBMITTER: Shimokata S

PROVIDER: S-EPMC3917034 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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Association between polymorphisms of the α-kinase 1 gene and type 2 diabetes mellitus in community-dwelling individuals.

Shimokata Shigetaka S Oguri Mitsutoshi M Fujimaki Tetsuo T Horibe Hideki H Kato Kimihiko K Yamada Yoshiji Y

Biomedical reports 20130925 6

We previously demonstrated that the α-kinase 1 gene (ALPK1) is a susceptibility locus for chronic kidney disease in individuals with diabetes mellitus (DM) by a genome-wide association study. Although genetic variants of ALPK1 have been associated with chronic kidney disease in individuals with DM, whether ALPK1 is a susceptibility locus for DM has not been elucidated. The purpose of the present study was to investigate a possible association of the rs2074388 (A→G, Asp565Gly ...[more]

PMID: 24649057

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Project description:BackgroundAlthough exercise seems to be beneficial for type 2 diabetes mellitus (T2DM) patients, there is limited research elucidating the optimal accessible indices of adiposity and insulin resistance for identifying elderly T2DM patients with poor glycemic control, which could be improved by performing regular exercise.MethodsA community-based, cross-sectional study was conducted with 918 Chinese elderly individuals with T2DM in Zhejiang. Relevant risk factors for poor glycemic control, as determined using glycated haemoglobin A1c (HbA1c) > 7%, were explored using logistic regression analyses and included body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), fasting blood glucose (FBG), triglycerides (TGs), total cholesterol (TC), the product of fasting triglycerides and glucose (TyG), visceral adiposity index (VAI), lipid accumulation product (LAP), TyG-BMI, and TyG-WC. Comparisons of the risk factors' ability to discriminate poor glycemic control as well as their optimal cutoff values were determined using receiver operating characteristic (ROC) analyses, and then the extent of poor glycemic control risk reduction through regular exercise was examined using multivariate logistic regression analyses.ResultsThe overall poor glycemic control rate was 49.3%. The factors associated with poor glycemic control included FBG > 3.869, TyG > 8.73, TyG-BMI > 222.45, and TyG-WC > 713.48 in logistic regression analyses. The optimal cutoff points of FBG, TyG, TyG-WC, and TyG-BMI in discriminating poor glycemic control were 7.38, 9.22, 813.33, and 227.77, and their corresponding areas under the ROC curves were 0.864(0.840-0.886), 0.684(0.653-0.714), 0.604(0.571-0.635), and 0.574(0.541-0.606), respectively. Occasional and regular exercise reduced the odds ratios (95% confidence interval) of poor glycemic control to 0.187 (0.063-0.557) and 0.183 (0.059-0.571) for subjects with TyG-WC > 813.33 (p = 0.008), to 0.349 (0.156-0.782) and 0.284 (0.123-0.652) for subjects with TyG > 9.22 (p = 0.011), and to 0.390 (0.175-0.869) and 0.300(0.130-0.688) for subjects with TyG-BMI > 227.77 (p = 0.017), respectively, after adjusting for multiple confounding factors.ConclusionAmong elderly individuals with T2DM, poor glycemic control risk might be identified using indices calculated from FBG, TG, BMI, and WC measurements, which are indicative of adiposity and insulin resistance. TyG-WC seems to be an accessible and useful indicator to identify which elderly T2DM patients would benefit from performing regular exercise to achieve good glycemic control.

Project description:BackgroundSeveral studies have demonstrated that older adults with type 2 diabetes mellitus (T2DM) have a higher risk of falls compared to those without T2DM, which may lead to disability and a lower quality of life. While, limited prospective studies have quantified the associations in southern China. We conducted a longitudinal cohort study to quantify the associations between T2DM and falls and investigate the risk factors of falls among community-dwelling elderly people in Guangzhou, China.MethodsThe population-based study included 8800 residents aged 65 and over in 11 counties of Guangzhou at baseline in 2020 and then prospectively followed up through 2022. Of 6169 participants had complete follow-up and were included in the present study. A fall event was identified by self-reported. The Cox regression was applied to quantify the associations between T2DM and falls, and hazard ratios (HRs) were calculated to the factors associated with falls among participants.ResultsThe median follow-up time for participants was 2.42 years. During the follow-up period, the incidence of falls among all participants was 21.96%. After adjusting for covariates in Cox regression models, T2DM remained a significant risk factor for falls, with HR of 1.781 (95% CI: 1.600-1.983) in the unadjusted covariates model and 1.757 (1.577-1.957) in the adjusted covariates model. Female (1.286, 1.136-1.457), older age (≥ 80: 1.448, 1.214-1.729), single marital status (1.239, 1.039-1.477), lower education level (primary school and below: 1.619, 1.004-1.361), hypertension (1.149, 1.026-1.286) and stroke (1.619, 1.176-2.228) were associated with a higher risk of falls, whereas everyday physical exercise (0.793, 0.686-0.918) was associated with a lower risk of falls.ConclusionFalls are common, with risks between T2DM and falls quantified and several factors investigated in the longitudinal cohort study among community-dwelling elderly people in Guangzhou, China. Targeted action on the risk factors may reduce the burden of falls in elderly people with T2DM in the future.

Dataset Information

Association between polymorphisms of the ?-kinase 1 gene and type 2 diabetes mellitus in community-dwelling individuals.

Publications

Association between polymorphisms of the α-kinase 1 gene and type 2 diabetes mellitus in community-dwelling individuals.

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