scholarly journals Association of genetic polymorphisms of SelS with Type 2 diabetes in a Chinese population

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Long Zhao ◽  
Ying-Ying Zheng ◽  
You Chen ◽  
Yi-Tong Ma ◽  
Yi-Ning Yang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Polymorphisms ◽  
Chinese Population ◽  
Case Control Study ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
The Difference ◽  
The Relationship ◽  
Control Study

Background: Selenoprotein S (SelS) gene expression is positively correlated to triglyceride (TG) concentrations and is associated with diabetes in animal model. However, the relationship between genetic polymorphisms of SelS and Type 2 diabetes (T2DM) remains unclear. Methods: In the present study, we genotyped four single nucleotide polymorphisms (rs12910524, rs1384565, rs2101171, rs4965814) of SelS gene using TaqMan genotyping method in a case–control study (1947 T2DM patients and 1639 control subjects). Results: We found both rs1384565 CC genotype (12.1 compared with 6.6%, P<0.001) and C allele (35.2 compared with 24.4%, P<0.001) were more frequent in the T2DM patients than in the controls. Logistic regression analysis suggested after adjustment of other confounders, the difference remained significant between the two groups (CC compared with TT, P=0.002, OR = 1.884, 95% CI: 1.263–2.811; CT compared with TT, P<0.001, OR = 1.764, 95% CI: 1.412–2.204). Conclusion: The present study suggested that genetic polymorphisms of SelS were associated with T2DM in a Chinese population.

scholarly journals A Novel Polymorphism (rs35612982) in CDKAL1 Is a Risk Factor of Type 2 Diabetes: A Case-Control Study

2019 ◽  
Vol 44 (6) ◽  
pp. 1313-1326 ◽  
Author(s):  
Yanni Tian ◽  
Jing Xu ◽  
Ting Huang ◽  
Jiaqi Cui ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Case Control Study ◽  
Insulin Level ◽  
Northwest China ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Increased Risk ◽  
The Status ◽  
Control Study

Background: The interaction of environmental factors and genetic factors may contribute to the risk of type 2 diabetes (T2D). We aimed to investigate whether age, gender, body mass index (BMI) and lifestyle factors have an effect on the association between the CDKAL1 polymorphisms and T2D. Methods: Eight single nucleotide polymorphisms in CDKAL1 were genotyped by Agena MassARRAY in 508 T2D patients and 503 controls. The association between the CDKAL1 polymorphisms and T2D was evaluated using logistic regression model by calculating OR and 95% CIs. Results: We found a significant association between CDKAL1 polymorphisms (rs4712523, OR 1.42, p = 9.44 × 10–5; rs4712524, OR 1.38, p = 3.28 × 10–4; rs10946398, OR 1.43, p = 6.21 × 10–5; rs7754840, OR 1.43, p = 6.33 × 10–5; rs35612982, OR 1.34, p = 0.0010; and rs10440833, OR 1.32, p = 0.0018) and T2D risk among the Han population from Northwest China. We also found that genetic variants of CDKAL1 could modify the risk of T2D that might be influenced by age, BMI and the status of smoking and drinking. Besides, rs35612982-CT (p = 0.038) and rs10440833-AT (p = 0.044) genotypes were higher insulin level. Conclusion: CDKAL1 rs35612982 (C/T) polymorphism, as a new polymorphism, was associated with the increased risk of T2D in the Han Chinese population. Moreover, the contribution of CDKAL1 polymorphisms to T2D risk seems to be associated with age, gender, BMI, smoking and drinking.

scholarly journals Association of Higher Circulating Insulin Antibody with Increased Mean Amplitude Glycemic Excursion in Patients with Type 2 Diabetes Mellitus: A Cross-Sectional, Retrospective Case-Control Study

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Jian Zhu ◽  
Lu Yuan ◽  
Wen-ji Ni ◽  
Yong Luo ◽  
Jian-hua Ma
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Case Control Study ◽  
Mean Amplitude ◽  
Case Control ◽  
Retrospective Case ◽  
Cross Sectional ◽  
The Relationship ◽  
Control Study

Insulin antibody (IA) may potentially affect a patient’s glycemic control due to its variability in both binding and/or releasing insulin. However, the association between IA titer and daily glycemic variability (GV) is still unknown. We thus performed this cross-sectional, retrospective case-control study to assess the relationship between IA titer and mean amplitude glycemic excursion (MAGE) in type 2 diabetes mellitus (T2DM) patients using a continuous glucose monitoring (CGM) system. We recruited 100 eligible patients (IA>5%, IA positive) and divided them into two groups—a low (L) group and a high (H) group—based on their IA titer. The control (C) group consisted of 47 patients (IA≤5%, IA negative) matched for age, BMI, gender, and glycosylated hemoglobin A1c (HbA1c). The CGM determined the GV of enrolled patients. The primary outcome was the relationship between the IA titer and the MAGE, and the secondary outcome was the differences of GV among the three groups. We found that patients in the H group had higher levels of blood glucose fluctuation parameters than those in the L and C groups. The Ln(IA) was positively correlated with Ln(MAGE) even after adjusting for age, gender, BMI, HbA1c, and fasting and postprandial C-peptide(r=0.423, p<0.001). Multiple linear stepwise regression analysis revealed that Ln(IA) was an independent factor of Ln(MAGE) (beta=0.405, p<0.001). In conclusion, the higher circulating IA titer was associated with increased MAGE in T2DM patients, indicating that those patients with elevated IA titer should receive GV assessment and individualized treatment.

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