Tue, Jun 9, 2026
Mahrooyeh Haji-Abolhasan Varaminfard1 
, Mina Ebrahimi-Rad2 , Seifoddin Javadian3 , Mahmood Beheshti Monfared4 , Seyedeh Fatemeh Sadati Khalili5 , Reza Saghiri6
, Mina Ebrahimi-Rad2 , Seifoddin Javadian3 , Mahmood Beheshti Monfared4 , Seyedeh Fatemeh Sadati Khalili5 , Reza Saghiri6
1- Department of Biology, Faculty of Science, Payame Noor University, Tehran, Iran
2- Department of Biochemistry
3- Department of Biochemistry, Pasteur Institute of Iran, Tehran, Iran
4- Cardiovascular Department, Modares Hospital, Tehran, Iran
5- Department of Biochemistry, Islamic Azad University of Central Tehran Branch, Tehran, Iran
6- Department of Biochemistry, Pasteur Institute of Iran, Tehran, Iran. ,reza_saghiri@yahoo.com
2- Department of Biochemistry
3- Department of Biochemistry, Pasteur Institute of Iran, Tehran, Iran
4- Cardiovascular Department, Modares Hospital, Tehran, Iran
5- Department of Biochemistry, Islamic Azad University of Central Tehran Branch, Tehran, Iran
6- Department of Biochemistry, Pasteur Institute of Iran, Tehran, Iran. ,
Abstract: (409 Views)
Background: Although several clinical and laboratory diagnostic approaches have been developed for Coronary Artery Disease (CAD), rates of mortality and morbidity have remained high, which may be due to defective 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. The 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: The serum levels of Zn and Se were significantly lower in the CAD patients than in controls (P = 0.0008 and P < 0.0001, respectively). In contrast, CAD patients showed significantly higher levels of Cu (P = 0.0064). Concerning 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 gave a sensitivity of 56.60%, specificity of 66.67%, and likelihood ratio (LR) of 1.698. AUC for Se was 0.8595 (P<0.0001). The optimum cut-off value at 86.50 ng/ml level gave 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 at 1.225 μg/mL level gave a sensitivity of 62.26%, specificity of 64.58%, and LR of 1.758.
Conclusion: Our study showed that selenium can be a biomarker with reliable diagnostic value for CAD.
Methods: 53 cardiologist-approved CAD patients and 48 age and sex-matched healthy controls were recruited. The 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: The serum levels of Zn and Se were significantly lower in the CAD patients than in controls (P = 0.0008 and P < 0.0001, respectively). In contrast, CAD patients showed significantly higher levels of Cu (P = 0.0064). Concerning 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 gave a sensitivity of 56.60%, specificity of 66.67%, and likelihood ratio (LR) of 1.698. AUC for Se was 0.8595 (P<0.0001). The optimum cut-off value at 86.50 ng/ml level gave 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 at 1.225 μg/mL level gave a sensitivity of 62.26%, specificity of 64.58%, and LR of 1.758.
Conclusion: Our study showed that selenium can be a biomarker with reliable diagnostic value for CAD.
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