کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2058529 1543963 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Lack of association between glutathione peroxidase1 (GPx1) activity, Pro198Leu polymorphism and stenosis of coronary arteries: A population-based prediction
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی بیوشیمی، ژنتیک و زیست شناسی مولکولی (عمومی)
پیش نمایش صفحه اول مقاله
Lack of association between glutathione peroxidase1 (GPx1) activity, Pro198Leu polymorphism and stenosis of coronary arteries: A population-based prediction
چکیده انگلیسی


• GPx1 Pro198Leu genotype distribution was evaluated in the stenosis of coronary arteries.
• Serum GPx1 activity was measured in the stenosis of coronary arteries.
• GPx1 tertiary structure was predicted using bioinformatics tools.

BackgroundWe studied the association between erythrocyte glutathione peroxidase1 (GPx1) activity and rs1050450 (Pro198Leu) site with the stenosis of coronary arteries and, evaluated the Pro/Leu position within the predicted tertiary structure.MethodsSubjects were recruited from who underwent coronary angiography (controls; n = 55, Stenosis < 5% and Patients; n = 95, Stenosis ≥ 50%). The GPx1 activity and rs1050450 C/T variants were determined using enzyme assay and RFLP-PCR techniques, respectively. The conserved regions and GPx1 tertiary structure were predicted using bioinformatics tools.ResultsWe did not find significant association between GPx1 activity (P = 0.96), rs1050450 genotype distribution and coronary artery disease (adjusted OR = 0.79; 95%CI 0.28–2.2, P = 0.6). The polymorphic variants were not located at the predicted structural and functional domains so that it had not the significant role on the GPx1stability and function.ConclusionsIn agreement with the results predicted from bioinformatics tools, we suggested that the GPx1 activity and rs1050450 (Pro198Leu) site are not involved in the development of stenosis of coronary arteries in the study population.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Meta Gene - Volume 2, December 2014, Pages 722–729
نویسندگان
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