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. 2021 Sep 27:14:6167-6176.
doi: 10.2147/IJGM.S324889. eCollection 2021.

Sortilin and Homocysteine as Potential Biomarkers for Coronary Artery Diseases

Affiliations

Sortilin and Homocysteine as Potential Biomarkers for Coronary Artery Diseases

Rehab H Werida et al. Int J Gen Med. .

Abstract

Purpose: The aim of this study was to assess the relationship of coronary artery disease (CAD) with levels of homocysteine and sortilin in Egyptian patients.

Background: CAD is a primary contributor to cardiac disease and a prominent cause of death globally.

Patients and methods: We enrolled 45 patients with CAD evaluated by coronary CT angiography and 42 control subjects without CAD. Plasma-homocysteine and -sortilin levels were measured with a commercial ELISA kit.

Results: Elevated levels of homocysteine and sortilin were observed in the CAD patients compared to controls (13.75±1.40 vs 7.73±2.06 μmol/L, P=0 and 160.91±32.17 vs 143.02±32.30 ng/dL, P=0.02, respectively). Significantly higher total cholesterol, low density-lipoprotein cholesterol and triglycerides (P<0.05) and lower high density-lipoprotein cholesterol (P<0.05) were seen among patients with CAD than the control group. Sortilin levels were positively associated with homocysteine levels (r=0.32, P=0.006), total cholesterol (r=0.61, P=0), low density-lipoprotein cholesterol (r=0.37, P=0.001), triglycerides (r=0.91, P=0), troponin I (r=0.82, P=0), Gensini score (r=0.93, P=0) and high-sensitivity CRP (r=0.87, P=0) in all subjects. Homocysteine has a significantly negative association with high density-lipoprotein cholesterol (r=-0.42, P=0).

Conclusion: Elevated homocysteine and sortilin levels are crucial risk factors of CAD in Egyptian patients.

Keywords: coronary artery disease; homocysteine; sortilin.

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Conflict of interest statement

All authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flow diagram of the study.
Figure 2
Figure 2
Differences in measured variables between the groups.
Figure 3
Figure 3
Area under ROC curve of the ability of measured variables to predict presence of coronary artery disease.

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