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S. Semiz, T. Dujic, Barbara Ostanek, B. Prnjavorac, T. Bego, M. Malenica, J. Marc, A. Causevic
6 2010.

Analysis of CYP 2 C 9 * 2 , CYP 2 C 19 * 2 , and CYP 2 D 6 * 4 polymorphisms in patients with type 2 diabetes mellitus

Th is is the fi rst study performed in population from Bosnia & Herzegovina (BH), in which we analysed a signifi cance of genetic variations in drug-metabolising enzyme, cytochrome P (CYP), in pathogenesis of Type  diabetes. We have determined allele frequencies for CYPC*, CYPC*, and CYPD* in diabetic patients and nondiabetic controls. Genomic DNA was extracted from blood samples collected from  diabetic and  nondiabetic subjects. A real-time polymerase chain reaction was used for the detection of specifi c CYP polymorphisms, with the application of the specifi c TaqMan® SNP genotyping tests (Applied Biosystems). Interestingly, results from this study have demonstrated that frequencies of CYPC* and CYPD* variants were in line, while frequency of CYPC* polymorphism seemed to be lower in this sample of BH population as compared to the Caucasians genotype data. Furthermore, no signifi cant diff erence in allele frequencies for CYPC*, CYPC*, and CYPD* was demonstrated between diabetic and nondiabetic subjects. Th us, results form this study seem to indicate no relationship between CYPC, CYPC, and CYPD genotype and diabetes susceptibility in Bosnian population. Th is in part may refl ect a limited study population included in our study and would require larger cohorts to reveal potential relationships between analysed CYP genetic variants and diabetes risk. In addition, it would be pertinent to further explore possible eff ects of CYP genetic variations on therapeutic and adverse outcomes of oral antidiabetics, which might be the key in optimising therapy for individual patient with Type  diabetes. ©  Association of Basic Medical Sciences of FBIH. All rights reserved

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