TCF7L2 rs7903146 C>T gene polymorphism is not associated with hypoglycemia in sulfonylurea-treated type 2 diabetic patients

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Georgia Ragia ◽  
Evgenia Katsika ◽  
Charalampia Ioannou ◽  
Vangelis G. Manolopoulos

Abstract Objectives Hypoglycemia is the most common adverse effect of sulfonylureas (SUs) and a major concern when using these drugs. Transcription factor 7-like 2 (TCF7L2) rs7903146 C>T polymorphism is an established and well characterized genetic marker of type 2 diabetes (T2DM) risk. The aim of the present study was to analyze the potential association of TCF7L2 rs7903146 C>T polymorphism with SU-induced hypoglycemia in a well characterized cohort of SU-treated patients previously genotyped for cytochrome P450 2C9 (CYP2C9) and P450 oxidoreductase (POR). Methods The study group consisted of 176 SU-treated T2DM patients of whom 92 had experienced at least one drug-associated hypoglycemic event. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used for TCF7L2 rs7903146 genotyping. Results TCF7L2 rs7903146 C>T genotype and allele frequency did not differ between cases and controls (p=0.745 and 0.671, respectively). In logistic regression analysis adjusted for other factors affecting hypoglycemia, including CYP2C9 and POR genotypes, TCF7L2 rs7903146 C>T polymorphism did not increase the risk of hypoglycemia (OR=1.238, 95% C.I.=0.750–2.044, p=0.405). Conclusions TCF7L2 rs7903146 C>T polymorphism is not associated with SU-induced hypoglycemia. Identifying additional gene polymorphisms associated with SU-induced hypoglycemia is crucial for improving T2DM patient therapy with SUs.

2009 ◽  
Vol 23 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Eva Pagano ◽  
Simona Bo ◽  
Michele Petrinco ◽  
Rosalba Rosato ◽  
Franco Merletti ◽  
...  

2014 ◽  
Vol 58 (9) ◽  
pp. 918-925 ◽  
Author(s):  
Taís S. Assmann ◽  
Guilherme C. K. Duarte ◽  
Jakeline Rheinheimer ◽  
Lavínia A. Cruz ◽  
Luís H. Canani ◽  
...  

Objective The aim of this study was to investigate the association between the rs7903146 (C/T) polymorphism in the TCF7L2 gene and type 2 diabetes mellitus, in a Southern-Brazilian population. Materials and methods The TCF7L2 rs7903146 polymorphism was genotyped in 953 type 2 diabetic patients and 535 non-diabetic subjects. All subjects were white. The polymorphism was genotyped by Real-Time PCR using TaqMan MGB probes (Life Technologies). Odds ratios (OR) and 95% confidence intervals (CI) were calculated for additive, recessive and dominant inheritance models. Results Genotype and allele frequencies of the rs7903146 polymorphism differed significantly between type 2 diabetic patients and non-diabetic subjects (P = 0.001 and P = 0.0001, respectively). The frequency of the minor allele was 38% in type 2 diabetes group and 31% in non-diabetic subjects, and this allele was significantly associated with type 2 diabetes risk (OR = 1.42, 95% CI 1.15 – 1.76 for the dominant model of inheritance). Moreover, the T/T genotype was associated with a higher risk for type 2 diabetes (OR = 1.83, 95% CI 1.3-2.5) than the presence of only one copy of the T allele (OR = 1.31, 95% CI 1.1-1.6). Both results were adjusted for age and gender. Conclusions Our results confirm the association between the TCF7L2 rs7903146 polymorphism and increase risk for type 2 diabetes in Southern-Brazil. Arq Bras Endocrinol Metab. 2014;58(9):918-25


2018 ◽  
Vol 11 (1) ◽  
pp. 149-157
Author(s):  
Gomaa Mostafa-Hedeab ◽  
Alaa Abdelhamed Mohamed ◽  
Gamal Thabet ◽  
Dina Sabry ◽  
Randa Fayez Salam ◽  
...  

Objective: to study the effect of MATE 1, MATE 2 and OCT1 genetic variants on metformin action in recently diagnosed Egyptian Type-2 diabetic patients. Patients & Methods: One hundred type-2 DM patients and forty healthy control were included in the study. All patients were recently diagnosed receiving no treatment before participation in the study. Three single nucleotide polymorphisms (SNPs) were Genotyped using real time PCR, Sequence Detection System: MATE1 (rs2252281), OCT1 coding variants (rs12208357) (SLC22A1) and MATE2 (rs12943590). Results: there is a significant differences between control and patients regarding MATE2 (p<0.05), OCT1 (P<0.005) distribution; in which GG (54%), CC (62%) is the most prevalent among studied patients respectively. MATE1 SNP; Patients with CC alleles and TT allele had better HBA1C (8.577±.2924), (8.7±.25) compared to CT allele patients (9.584±.3023) (P= .04) (P=.019) respectively. OCT1 SNP; CG allele patients showed better RBS (251±9.565) compared to CC allele (294.42±8.476) (p=0.004). Logistic regression test showed that RBS (p=.00001), ALT (p=.0001) and TLC (p=.025) are independent factors affecting blood glucose. Conclusion: MATE1 and OCT1 SNPs may have a potential role in metformin efficacy.


2020 ◽  
Author(s):  
Jamileh Abolghasemi ◽  
Mina Motamedi Rad ◽  
Fahimeh Soheilipour ◽  
Hamid Reza Baradaran ◽  
Shahnaz Rimaz ◽  
...  

Abstract Background: Diabetic neuropathy is the most common complication of diabetes, the effective control of which requires accurate diagnosis of neuropathy on a regular basis. The present study aimed to investigate the factors affecting the event time of neuropathy using the Clayton copula model in type 2 diabetic patients in the presence of a surrogate response variable. Methods: The data of all the people whose diabetes test results were negative in the 2006 screening by the health centers in Fereydun Shahr, Isfahan, but their diabetes re-tests were positive in 2007, and were at least 30 years of age were collected, and their neuropathy status was followed up for at least 10 years. To investigate the factors affecting the event time of neuropathy in the patients, the Clayton copula model as well as the true variable, ten-point monofilament test and surrogate variable, and Michigan questionnaire including interviews and examinations by a trained physician were used. All the statistical analyzes were performed using the R software (version 3.6.2) and tests were done with an error of 0.05. Results: Of the total of 371 diabetic patients studied, 114 (30.7%) were male and their mean age was 63.93 (±0.568) years. According to the Clayton copula model, the individuals with a family history of diabetes and Hemoglobin A1c of >=8.1, BMI of >=35, HDL of <54, and under treatment with oral and insulin injections would develop neuropathy more quickly. Conclusion: In this study, using the survival ROC curve, was shown that the Copula model was more efficient than the surrogate model, so it is suggested that the Copula model be used to predict the occurrence of neuropathy for patients who do not have access to the monofilament test. Keywords: Type 2 Diabetes, Neuropathy, Michigan Questionnaire, Monofilament Test


Author(s):  
Abdullah K. Rabba ◽  
Waleed S. Aljiris ◽  
Nehad J. Ahmed ◽  
Khalid M. Alkharfy

Objective: To assess the extent of antidiabetic drug adherence in patients with type 2 diabetes mellitus, and different factors affecting adherence in outpatient clinics in Alkharj city, Kingdom of Saudi Arabia. Methodology: Type 2 diabetic patients attending two outpatient clinics in Alkharj city, KSA, were randomly selected, and interviewed for information regarding their antidiabetic drug adherence. A six-item questionnaire was used to measure the level of adherence in study participants. Participants scoring six points are categorized as (high adherent), while scores of 4 to 5 puts the participants in the (medium adherence) category, and participants with scores less than 4 are of (Low adherence). Patient’s records were also, reviewed, for relevant lab and clinical data.Results: 68 type 2 diabetic patients participated in this study from April 2014 to September 2014. Majority of participants (73.5%) were of 40 to 60 years old. Hypertension and/or lipid disorders were encountered in majority of patients in this study. 26.5% of patients in this study were categorized as (high adherent), 55.9% as (medium adherent), and 17.6% as (low adherent). 72% of patients had an HbA1c level of ≥7% suggesting poor control of their disease. Patients with a longer history of diabetes, and patients with HbA1c level less than 7%  found to achieve better adherence levels (p-value<0.05). Conclusion: Subjective information from patients suggested accepted level of adherence. Nevertheless, objective measurements of HbA1c, suggest poor glycemic control that possibly reflect poor adherence to antidiabetic medications.


2019 ◽  
Vol 26 (6) ◽  
pp. 156-163
Author(s):  
Mohammad Shekarzadeh ◽  
Abas Mohammad poor ◽  
Mehdi Abasi ROSHAN ◽  
Mehran Rajabi sahneh saraie ◽  
Mostafa Daryaie ◽  
...  

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