Dynamic changes in purine catabolism in patients with acute coronary syndrome that underwent percutaneous coronary intervention

Background: Cardiovascular diseases are global problems. They are causes of death in about 43 of people worldwide and may become the most widespread reason of death by 2020. The prognosis is directly dependent to immediate diagnosis and on time treatment. Introduction of new biochemical markers as the early diagnosis of complications after coronary revascularization is very important in this period. Herein, we assayed the changes of purine catabolites in patients with acute coronary syndrome (ACS) before and after percutaneous coronary intervention (PCI) in comparison with control group. Methods: Thirty five ACS patients (20 males and 15 females) were included (57±17 years old) in the study. The determination of intermediates of purine catabolism as guanine, hypoxanthine (GCS), adenine, xanthine (Kc) and uric acid (MK) were assayed before and 3 days after PCI. Conditionally, 35 healthy-matched persons were included in the control group. Purine catabolites were determined in plasma through the method of Oreshnikov E.V (2008). Results: In ACS patients, prior to PCI, there was a tendency to increase the concentration of guanine (P=0.001), hypoxanthine (P=0.002) adenine (P=0.0003), xanthine (P=0.000003) and uric acid (P=-0.000001) relative to the upper limits of normal ranges. And on the third day after PCI, there was the second tendency to increase the levels of guanine (P=0.000001), hypoxanthine (P=0.000001) adenine (P=0.0000001), xanthine (P=0.000001) and uric acid (P=0.0000001) relative to upper limits of normal ranges. Conclusion: Increment of plasma purine catabolites can be a marker of inflammation and instability of coronary artery plaques and may be used as a restenosis marker in patients with history of PCI. &#160

Genetic Polymorphisms Association in Restenosis of Coronary Arteries

BACKGROUND: There is a reason to believe that the polymorphism of genes encoding some enzymes and receptors plays a role in increasing of restenosis development risk. It is common knowledge that ethnicity affects the frequency of heterozygous genotypes occurrence. There is the evidence that polymorphism of the FGB gene (rs1800790) and THBD gene was determined in the ethnic group of Kazakhs with restenosis of the coronary arteries, which can be considered as genetic predictors of restenosis development. Today, the questions of the role of the genetic component in the development of coronary heart disease (CHD) remain open. AIM: Evaluation of gene polymorphism in patients with restenosis of coronary arteries after stent installation. MATERIALS AND METHODS: The group consisted of Kazakh population of the age category from 45 to 65 years of both sexes: Group I (50 persons) patients with a diagnosis of CHD, with a fixed stent and the development of restenosis during the year; Group 2 (58 persons) – with a fixed stent and no restenosis during the year. The association of genetic polymorphisms was evaluated in accordance with the case–control design based on the generalized linear model assuming a log-additive inheritance model. RESULTS: Thus, when comparing two groups using five patterns of inheritance, the following SNP were revealed: Codominant inheritance pattern – rs1045642 (p = 0.0427), dominant inheritance pattern – rs12041331 (p = 0.036088), rs13431554 (p = 0.025461), and rs1045642 (p = 0.012774), and overdominant inheritance pattern – rs12041331 (p = 0.051736), rs5918 (p = 0.057652), and rs13431554 (р = 0.036006). Thus, three SNPs associated with stenting were identified: rs7543130 (p = 0.009324), rs6785930 (p = 0.016858), and rs7819412 (p = 0.061325) and two SNPs associated with the development of restenosis after stent placement: rs1061781 (p = 0.063184) and rs342293 (p = 0.061636). CONCLUSION: The polymorphisms associated with the risk of developing restenosis after stenting were determined: Codominant inheritance pattern – one polymorphism (rs1045642, p = 0.0427); dominant inheritance pattern – three polymorphisms (rs12041331, p = 0.036088; rs13431554, p = 0.025461; rs1045642, p = 0.012774), and overdominant inheritance pattern – one polymorphism (rs13431554, p = 0.036006). Based on the hybrid machine learning approach (RuleFit), four rules were obtained for assessing the empirical risk of restenosis developing after stenting – from 20% to 40%

Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population

Background: After coronary stenting, the risk of developing restenosis is from 20 to 35 %. The aim of the present study is to investigate the association of genetic variation in candidate genes in patients diagnosed with restenosis in the Kazakh population. Methods: Four hundred fifty-nine patients were recruited to the study; 91 patients were also diagnosed with diabetes and were excluded from the sampling. DNA was extracted with the salting-out method. The patients were genotyped for 53 single-nucleotide polymorphisms. Genotyping was performed on the QuantStudio 12K Flex (Life Technologies). Differences in distribution of BMI score among different genotype groups were compared by analysis of variance (ANOVA). Also, statistical analysis was performed using R and PLINK v.1.07. Haplotype frequencies and LD measures were estimated by using the software Haploview 4.2. Results: A logistic regression analysis found a significant difference in restenosis rates for different genotypes. FGB (rs1800790) is significantly associated with restenosis after stenting (OR = 2.924, P = 2.3E−06, additive model) in the Kazakh population. CD14 (rs2569190) showed a significant association in the additive (OR = 0.08033, P = 2.11E−09) and dominant models (OR = 0.05359, P = 4.15E−11). NOS3 (rs1799983) was also highly associated with development of restenosis after stenting in additive (OR = 20.05, P = 2.74 E−12) and recessive models (OR = 22.24, P = 6.811E−10). Conclusions: Our results indicate that FGB (rs1800790), CD14 (rs2569190), and NOS3 (rs1799983) SNPs could be genetic markers for development of restenosis in Kazakh population. Adjustment for potential confounder factor BMI gave almost the same results

Genetic Predictors of the Development of Complications after Coronary Stenting

Due to the fact that there are scientific discussions about the significance of gene polymorphisms in the risk of developing cardiovascular complications after a percutaneous coronary intervention, it is of interest to evaluate the genetic predictors of the development of cardiovascular events. This study is a molecular genetic study. Association with the genes of biomarkers for inflammation and immune response increases the risk of cardiovascular events: rs1234313 (TNFSF4): (A/G, OR-4.57 (2.35–8.87), p ≤ 0.0001), (A/G-A/A, OR-3.14 (1.75–5.63), p ≤ 0.0001), and (A/G, OR = 4.01 (2.19–7.36), p ≤ 0.0001); rs3184504 (SH2D3); ATXN2: (C/T, OR-2.53 (1.28–5.01), T/T, OR-2.99 (1.13–7.92), p = 0.017)), (C/T-T/T, OR-2.61 (1.35–5.07), p = 0.000), and (OR-1.89 (1.15–3.09), p = 0.009)). According to the lipid metabolism biomarker genes, rs2943634: (A/C OR-2.57 (1.18–5.62), p = 0.013); according to the endothelial biomarker genes, rs2713604: (DNAJB8-AS1; GATA2): (C/T, OR-4.27 (2.35–7.76), p ≤ 0.0001), (C/T-C/C, OR-4.13 (2.31–7.40), p ≤ 0.0001), (OR-4.05 (2.24–7.30), p ≤ 0.0001), and (C/T, OR-3.46 (1.99–6.00), p ≤ 0.0001). The regression analysis found that in the presence of the rs2943634 gene polymorphism, the risk of late cardiovascular events increases by 4.007 times with 95% CI (1.502:10.692), p = 0.006. The genes of biomarkers for the risk of cardiovascular events are rs1234313(TNFSF4), rs3184504 (SH2D3; ATXN2), rs2943634, and rs2713604 (DNAJB8-AS1; GATA2). The only predictor of the development of new cardiovascular events was rs2943634, which belongs to the group of lipid metabolism biomarkers