scholarly journals The influence of different glucose tolerance on QTc interval: a population-based study

Author(s):  
Ning Lin ◽  
Hongmei Zhang ◽  
Xiaoyong Li ◽  
Yixin Niu ◽  
Hongxia Gu ◽  
...  

Abstract Background Corrected QT (QTc) interval has been reported to be associated with type 2 diabetes. This study aimed to explore the relationship between different glucose tolerance and QTc interval among middle-aged and older Chinese individuals. Methods We conducted a cross-sectional analysis that included 9898 subjects (3194 men and 6704 women) in a Chinese population. Glucose tolerance was studied during OGTT. Insulin, blood pressure, HbA1c, serum lipids, hepatic transaminases and waist-to-hip ratio were assessed.The QTc interval was derived from ECG recordings, and the subjects were stratified based on different glucose tolerance. Results QTc interval levels were increased significantly in the subjects with abnormal glucose metabolism compared with the normal glucose regulation group. Multiple regression analyses QTc interval was significantly associated with fasting plasma glucose, 2-h OGTT plasma glucose and HbA1c. The odds ratios of prolonged QTc was 1.396 for IFG/IGT (95% CI: 0.126-1.730), 1.342 for type 2 diabetes (95% CI: 0.142-1.577) after all the potential confounders were adjusted. Conclusions IGR and diabetes are associated with prolonged QTc interval among middle-aged and older Chinese individuals. Abnormal glucose regulation can be used to monitor QTc interval in the population.

2007 ◽  
Vol 92 (8) ◽  
pp. 3183-3188 ◽  
Author(s):  
Inke Nitz ◽  
Eva Fisher ◽  
Harald Grallert ◽  
Yun Li ◽  
Christian Gieger ◽  
...  

Abstract Context: On the basis of its chromosomal localization and its role in the synthesis of the antilipolytic compound prostaglandin E2, the prostaglandin E synthase 2 (PTGES2) is a candidate gene for type 2 diabetes. Objective: The aim of the present study was to investigate whether genetic variants in the PTGES2 gene are associated with type 2 diabetes. Results: Sequencing of the PTGES2 gene revealed one nonsynonymous coding single-nucleotide polymorphism (SNP) (Arg298His, rs13283456) and a previously unknown promoter SNP g.-417G>T. Both SNPs and additional haplotype tagging SNPs (rs884115, rs10987883, rs4837240) were genotyped in a nested case-control study of 192 incident type 2 diabetes subjects and 384 controls (European Prospective Investigation into Cancer and Nutrition-Potsdam). Carriers of the minor allele of Arg298His had a lower risk to develop the disease [odds ratio (OR) 0.63, 95% confidence interval (CI) 0.41–0.97, P = 0.04], compared with homozygous individuals with the common allele. The PTGES2 Arg298His polymorphism was reinvestigated in a population-based cross-sectional study (Cooperative Health Research in the Augsburg Region) consisting of 239 individuals with impaired glucose tolerance, 226 with type 2 diabetes, and 863 normoglycemic controls. In this study population, the Arg298His polymorphism was significantly associated with impaired glucose tolerance (OR 0.68, 95% CI 0.50–0.93, P = 0.007) and type 2 diabetes (OR 0.61, 95% CI 0.43–0.86, P = 0.004). A pooled analysis of data from both study populations revealed reduced risk of type 2 diabetes (OR 0.62, 95% CI 0.47–0.81, P = 0.0005) in PTGES2 298His allele carriers. Conclusion: We obtained evidence from two Caucasian study populations that the His298-allele of PTGES2 Arg298His confers to reduced risk of type 2 diabetes.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 772-P
Author(s):  
MARIKO HIGA ◽  
AYANA HASHIMOTO ◽  
MOE HAYASAKA ◽  
MAI HIJIKATA ◽  
AYAMI UEDA ◽  
...  

2021 ◽  
pp. 153537022110094
Author(s):  
Ibiye Owei ◽  
Nkiru Umekwe ◽  
Frankie Stentz ◽  
Jim Wan ◽  
Sam Dagogo-Jack

The ability to predict prediabetes, which affects ∼90 million adults in the US and ∼400 million adults worldwide, would be valuable to public health. Acylcarnitines, fatty acid metabolites, have been associated with type 2 diabetes risk in cross-sectional studies of mostly Caucasian subjects, but prospective studies on their link to prediabetes in diverse populations are lacking. Here, we determined the association of plasma acylcarnitines with incident prediabetes in African Americans and European Americans enrolled in a prospective study. We analyzed 45 acylcarnitines in baseline plasma samples from 70 adults (35 African-American, 35 European-American) with incident prediabetes (progressors) and 70 matched controls (non-progressors) during 5.5-year (mean 2.6 years) follow-up in the Pathobiology of Prediabetes in a Biracial Cohort (POP-ABC) study. Incident prediabetes (impaired fasting glucose/impaired glucose tolerance) was confirmed with OGTT. We measured acylcarnitines using tandem mass spectrometry, insulin sensitivity by hyperinsulinemic euglycemic clamp, and insulin secretion using intravenous glucose tolerance test. The results showed that progressors and non-progressors during POP-ABC study follow-up were concordant for 36 acylcarnitines and discordant for nine others. In logistic regression models, beta-hydroxy butyryl carnitine (C4-OH), 3-hydroxy-isovaleryl carnitine/malonyl carnitine (C5-OH/C3-DC), and octenoyl carnitine (C8:1) were the only significant predictors of incident prediabetes. The combined cut-off plasma levels of <0.03 micromol/L for C4-OH, <0.03 micromol/L for C5-OH/C3-DC, and >0.25 micromol/L for C8:1 acylcarnitines predicted incident prediabetes with 81.9% sensitivity and 65.2% specificity. Thus, circulating levels of one medium-chain and two short-chain acylcarnitines may be sensitive biomarkers for the risk of incident prediabetes among initially normoglycemic individuals with parental history of type 2 diabetes.


Author(s):  
Joshua I. Barzilay ◽  
Naji Younes ◽  
Rodica Pop-Busui ◽  
Hermes Florez ◽  
Elizabeth Seaquist ◽  
...  

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 1006-P
Author(s):  
AOIFE M. EGAN ◽  
CHRISTINA WOOD-WENTZ ◽  
KENT R. BAILEY ◽  
ADRIAN VELLA

Author(s):  
Dezhong Chen ◽  
Ziyun Liang ◽  
Huimin Sun ◽  
Ciyong Lu ◽  
Weiqing Chen ◽  
...  

Current evidence remains inconsistent with regard to the association between different triglyceridemic-waist phenotypes and the risks for type 2 diabetes mellitus (T2DM). We aimed to investigate this association among a retrospective cohort analysis of 6918 participants aged ≥ 45 years in the China Health and Retirement Longitudinal Study (CHARLS). Participants were categorized into four triglyceridemic-waist phenotypes consisting of NWNT (normal waist circumference and normal triglycerides), NWHT (normal waist circumference and high triglycerides), EWNT (enlarged waist circumference and normal triglycerides), and EWHT (enlarged waist circumference and high triglycerides) based on participants’ baseline information. Multivariate log-binomial regression was used to assess the T2DM risk in different phenotypes. Subgroup analysis was conducted to test the robustness of the findings. After 4-years of follow-up, participants with EWHT (Relative Risk [RR]: 1.909, 95% Confidence Interval [CI]: 1.499 to 2.447) or EWNT (RR: 1.580, 95%CI: 1.265 to 1.972) phenotypes had significantly higher likelihood of incident T2DM compared to the NWNT phenotype, whereas the association was not significant for the NWHT phenotype (RR: 1.063, 95%CI: 0.793 to 1.425). The subgroup analyses generally revealed similar associations across all subgroups. Among middle-aged and older adults, we suggested a combined use of waist circumference and triglycerides measures in identifying participants who are at high risk of developing T2DM.


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