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Showing 3 results for Coronary Artery Disease
Association of the CETP TaqIB Polymorphism with Coronary Artery Disease in Type 2 Diabetic Patients
Mohammadzadeh, Ghorban , Fatemeh Karimpour, Mohammad Ali Ghaffari, Alireza Kheirollah, Azadeh Saki,
Volume 9, Issue 5 (11-2015)
Abstract

Abstract

     Background and Objective: Diabetes mellitus is the most common risk factor for coronary artery disease (CAD). Cholesteryl ester transfer protein (CETP) TaqIB polymorphism is associated with changes in lipid profile and may be a risk factor for CAD in patients with diabetes. This study aimed to evaluate the association of CETP TaqIB polymorphism with CAD in patients with type 2 diabetes.

     Methods: In this case-control study, 292 diabetic patients were divided into two groups based on angiography reports (150 participants with normal angiogram as the control group and 142 participants with more than 50% stenosis of at least one coronary artery as the case group). The CETP TaqIB genotypes were determined by PCR-RFLP analysis. Fasting blood glucose was measured using glucose oxidase and lipid profile (triglycerides, total cholesterol, high density lipoprotein-cholesterol and low density lipoprotein-cholesterol) by an enzymatic method.

       Results: There was no significant difference in the frequency of genotypes and alleles between the case group and controls (the control group: B1B1, 17.3%; B1B2, 63.3%; and B2B2, 19.3%; the case group: B1B1, 18.3%; B1B2, 64.1%; and B2B2, 17.6%) (P=0.92). In the control group, heterozygous participants (genotype B1B2) had higher levels of cholesterol compared with other genotypes (B1B1 and B2B2). Also, the patients with genotype B1B2 had significantly higher weight (P=0.013).

       Conclusion: There is no significant correlation between CETP TaqIB polymorphism and the increased risk of coronary artery disease in patients with type 2 diabetes.

      Keywords: Cholesterol Ester Transfer Protein, Polymorphism, Diabetes Mellitus, Type 2, Coronary Artery Disease


Development of a New Framework for Health Assessment in Patients with Coronary Artery Disease by using miRNA-197 in Adults
Shahram Zehtabian, Reza Alibakhshi, Seyed Yousef Seyedena, Ali-Reza Rai,
Volume 15, Issue 5 (9-2021)
Abstract
Background and objectives: Coronary artery disease (CAD) refers to stenosis or obstruction of coronary artery due to atherosclerosis or clotting. The aim of this study was to evaluate possible association of serum miRNA-197 (miR-197) expression as a biomarker for CAD diagnosis.
Methods: In this study, 100 patients with CAD who had angiography and vascular transplantation were selected. Expression of miR-197 was evaluated using real-time RT-PCR technique and the SYBR Green method. The Pearson's correlation coefficient was used to determine relationship of miR-197 expression and severity of coronary artery disease. The t-test was used to determine significance of expression of miR-197 in the study groups. All statistical analyses were carried out in SPSS 16 and at significance of 0.05.
Results: The results showed a direct relationship between miR-197 expression and CAD severity. The relative expression of miR-197 in the CAD patients was significantly higher than that in control subjects (P<0.004).
Conclusion: It seems that miR-197 can be considered as an indicator of coronary endothelial cell function. This microRNA could be used as a biomarker for CAD prognosis and treatment progression.
Comparison of serum levels of zinc, copper, and selenium between patients with coronary artery disease and healthy controls: Selenium could be a new diagnostic biomarker
Mahrooyeh Haji-Abolhasan Varaminfard, Mina Ebrahimi-Rad , Seifoddin Javadian , Mahmood Beheshti Monfared , Seyedeh Fatemeh Sadati Khalili, Reza Saghiri,
Volume 20, Issue 2 (3-2026)
Abstract
Background: Although several clinical and laboratory diagnostic approaches have been developed for coronary artery disease (CAD), rates of mortality and morbidity remain high, possibly because of limitations in existing diagnostic markers. Here, we evaluated the serum levels of selected trace elements (Zn, Se, and Cu) in CAD patients and healthy subjects and assessed their diagnostic values in CAD.
Methods: 53 cardiologist-approved CAD patients and 48 age- and sex-matched healthy controls were recruited. Serum levels of Zn, Se, and Cu were assessed using the atomic absorption method. GraphPad v.8.4 and SPSS v.18 software were used for statistical analyses.
Results: Serum levels of Zn and Se were significantly lower in CAD patients than in controls (P = 0.0008 and P < 0.0001, respectively). In contrast, CAD patients showed significantly higher Cu levels (P = 0.0064). Regarding the ROC curve analyses, the area under the curve (AUC) for Zn was 0.6563 (P = 0.0069). Setting the cut-off value at 1.255 μg/mL yielded a sensitivity of 56.60%, specificity of 66.67%, and likelihood ratio (LR) of 1.698. The AUC for Se was 0.8595 (P<0.0001). The optimum cut-off value of 86.50 ng/ml yielded a sensitivity of 83.02%, specificity of 75.00%, and LR of 3.321. The AUC for Cu was 0.6557 (P = 0.0071). The optimum cut-off value of 1.225 μg/mL yielded a sensitivity of 62.26%, specificity of 64.58%, and LR of 1.758.
Conclusion: Our study showed that selenium may be a biomarker with reliable diagnostic value for CAD.

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