👤 Violetta Dziedziejko

Coronary artery disease (CAD) is a syndrome resulting from myocardial ischaemia of heterogeneous pathomechanism. Environmental and genetic factors contribute to its development. Atherosclerotic plaques that significantly narrow the lumen of coronary arteries cause symptoms of myocardial ischaemia. Acute coronary incidents are most often associated with plaque rupture or erosion accompanied by local activation of the coagulation system with thrombus formation. Plaque formation and stability are influenced by endothelial function and vascular smooth muscle cell function. In this study, we investigated the association between polymorphisms in genes affecting endothelial and vascular smooth muscle cell (VSMC) function and the occurrence of unstable angina pectoris. The aim of this study was to evaluate the association between the Show less

Gestational diabetes mellitus (GDM) is a metabolic disorder in pregnant women leading to various complications. Consequently, factors predisposing its development are being sought. Previous studies have shown that the pathogenesis of GDM is similar to that of type 2 diabetes, and it is therefore thought that the two diseases may have a common genetic basis. The aim of this study was to examine the associations between thyroid adenoma-associated ( Show less

Coronary artery disease (CAD) is a significant public health problem because it is one of the major causes of death worldwide. Several studies have investigated the associations between CAD and polymorphisms in genes connected with platelet aggregation and the risk of venous thromboembolism. In this study, we examined the associations between polymorphisms in There were no significant differences in the distribution of the studied polymorphisms between the patients with unstable angina and the controls. In patients with the The results of this study suggest a lack of association between Show less

Gestational diabetes mellitus (GDM) is a carbohydrate intolerance that occurs in women during pregnancy. The aims of this study were to develop a model to predict the risk of GDM development using common clinical parameters and selected genetic polymorphisms and to analyse the performance of the model using receiver operator characteristic (ROC) curves. ROC analysis was used to examine whether the evaluation of genetic polymorphisms may enhance the accuracy of GDM prediction in comparison to using common clinical risk factors only. This study included 204 pregnant women with GDM and 207 pregnant women with normal glucose tolerance. The diagnosis of GDM was based on a 75 g oral glucose tolerance test at 24-28 weeks gestation. The difference between the AUC of ROC curves for the model 1 including only age and BMI and the model 2 also including 8 genetic polymorphisms was highly significant (p=0.0001) in favour of model 2 (0.090±0.023). Moreover, the additional use of 8 genetic polymorphisms may increase both the sensitivity and specificity of GDM prediction by 10%. The results of this study indicate that the use of 8 genetic polymorphisms associated with carbohydrate and lipid metabolism and type 2 diabetes [ Show less

Gestational diabetes mellitus (GDM) is the carbohydrate intolerance that can occur in pregnancy. Genetic polymorphisms associated with type 2 diabetes could be considered as genetic determinants of GDM. The aim of this study was to examine the association between GCK, GCKR, FADS1, DGKB/TMEM195 and CDKAL1 gene polymorphisms and the development of gestational diabetes. These genetic polymorphisms are involved in glucose and lipid metabolism and are associated with increased risk for diabetes type 2. This case-control study included 204 pregnant women with GDM and 207 pregnant women with normal glucose tolerance. The diagnosis of GDM was based on a 75-gram oral glucose tolerance test at 24 to 28 weeks' gestation. There was a statistically significant association between FADS1 rs174550 gene polymorphism and GDM. Among women with GDM, a predominance of C-allele carriers (CC and TC genotypes) was observed (CC+TC vs. TT; p=0.00065; OR=1.97, 95% CI, 1.33 to 2.92), and this association remained significant after correction for multiple testing. In the case of the GCK rs1799884 polymorphism, there was a predominance of the T allele in women with GDM; however, this association reached only borderline statistical significance (p=0.08). Women with higher numbers of GCK rs1799884 T alleles more commonly required insulin treatment; likewise, the CDKAL1 rs10946398 CC genotype was associated with the need for insulin therapy. However, these associations do not pass the statistical significance threshold after correction for multiple testing. The results of our study suggest an association between the rs174550 FADS1 polymorphism and GDM risk. Show less