The association of MDR1 C3435T and G2677T/A polymorphisms with plasma platelet-activating factor levels and coronary artery disease risk in Turkish population

Increased levels of peripheral proinflammatory mediators can contribute to the development of coronary artery disease (CAD). Platelet activating factor (PAF) is an important proinflammatory mediator and plasma levels of PAF correlate with transmembrane transporter multidrug resistant 1 P-glycoprotein (MDR1 Pgp) expression and activity. MDR1 polymorphisms can affect the expression and activity of Pgp and plasma PAF levels. Therefore, we investigated the possible relationship between MDR1 C3435T and G2677T/A polymorphisms and plasma PAF levels and the risk of CAD. The study population consisted of 198 patients angiographically documented CAD, including 113 cases with at least 1 coronary artery with >= 50% luminal diameter stenosis and 85 control subjects with strictly normal coronary angiograms. Genotypes of the MDR1 C3435T and G2677T/A polymorphisms were determined by polymerase chain reaction (PCR) followed by restriction fragment length polymorphism (RFLP). Plasma PAF levels were detected by enzyme-linked immunosorbent assay (ELISA). There were no significant differences among plasma PAF levels in regard to MDR1 C3435T and G2677T polymorphisms in CAD patients and controls. No statistically significant difference was found for the genotypic and allelic distributions of the polymorphisms in the MDR1 gene between the patients and the control subjects. Furthermore, analysis of MDR1 haplotypes did not show any associations with increased plasma PAF levels and risk of CAD. Our results suggest that plasma PAF levels are not associated with MDR1 gene polymorphisms. There is no association between MDR1 C3435T and G2677T/A polymorphisms and the risk of CAD in Turkish patients. (C) 2013 Elsevier B.V. All rights reserved

The association of MDR1 C3435T and G2677T/A polymorphisms with plasma platelet-activating factor levels and coronary artery disease risk in Turkish population

Increased levels of peripheral proinflammatory mediators can contribute to the development of coronary artery disease (CAD). Platelet activating factor (PAF) is an important proinflammatory mediator and plasma levels of PAF correlate with transmembrane transporter multidrug resistant 1 P-glycoprotein (MDR1 Pgp) expression and activity. MDR1 polymorphisms can affect the expression and activity of Pgp and plasma PAF levels. Therefore, we investigated the possible relationship between MDR1 C3435T and G2677T/A polymorphisms and plasma PAF levels and the risk of CAD. The study population consisted of 198 patients angiographically documented CAD, including 113 cases with at least 1 coronary artery with >= 50% luminal diameter stenosis and 85 control subjects with strictly normal coronary angiograms. Genotypes of the MDR1 C3435T and G2677T/A polymorphisms were determined by polymerase chain reaction (PCR) followed by restriction fragment length polymorphism (RFLP). Plasma PAF levels were detected by enzyme-linked immunosorbent assay (ELISA). There were no significant differences among plasma PAF levels in regard to MDR1 C3435T and G2677T polymorphisms in CAD patients and controls. No statistically significant difference was found for the genotypic and allelic distributions of the polymorphisms in the MDR1 gene between the patients and the control subjects. Furthermore, analysis of MDR1 haplotypes did not show any associations with increased plasma PAF levels and risk of CAD. Our results suggest that plasma PAF levels are not associated with MDR1 gene polymorphisms. There is no association between MDR1 C3435T and G2677T/A polymorphisms and the risk of CAD in Turkish patients. (C) 2013 Elsevier B.V. All rights reserved

HRM method for identification of TP53 exon 5 and 8 mutations in human prostate cancer patients

Background: The purpose of the present study was to perform a high-resolution melting (HRM) analysis to discover mutations in gene exons 5-8 of tumor protein p53 (TP53), as well as the relationships of these mutations to clinical parameters in prostate cancer (PC).& nbsp;Methods: Genomic DNA was extracted from 50 formalin-fixed paraffin-embedded (FFPE) tissues with PC. Mutations in exons 5 and 8 of TP53 were analyzed using the HRM method. Sanger sequencing was used to describe mutations.& nbsp;Results: According to the HRM analysis results, 21 (42%) PC samples had different normalized and shifted melting curves from other samples. Mutations in TP53 exons 5 and8 were observed in 12 (24%) patients by the Sanger method. The detection sensitivity of the HRM method in exon 5 and exon 8 mutations was 66.7% and 50%, respectively. PSA levels of PC patients with TP53 mutation were found to be lower than that of patients with no mutation (p = 0.8270). However, we did not find any correlations between TP53 mutations and clinical parameters (p > 0.05).& nbsp;Conclusions: HRM analysis is a simple, rapid, and efficient mutation-scanning method for known/unknown mutations in TP53 exons 5and8, as well as an attractive method for detection of mutations and their analysis in FFPE tissues. Additional studies with larger patient populations are warranted to confirm the correlation between the TP53 mutations and PC risk.Research Foundation of Istanbul Aydin University (BAP