Abstract

Evaluation of genes polymorphisms frequencies of angiotensinogen (AGT), angiotensin converting enzyme type 1 (ACE1) and angiotensin II receptors type 1 (AGTR1) and type 2 (AGTR2) in patients admitted with coronavirus disease (COVID-19) and its association the severity of severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2). The study included 100 patients admitted to the hospital with a laboratory-confirmed diagnosis of COVID-19. All patients were identified with alleles and genotypes of polymorphic markers rs4762 of the AGT gene, rs1799752 of the ACE1 gene, rs5186 of the AGTR1 gene and rs1403543 of the AGTR2 gene. The frequencies of each polymorphisms were compared with population. Statistical processing was performed using the Statistica 8.0 software package. In evaluated cohort there was higher frequency of D-allele ACE1 rs1799752 compared to population. Depending on the availability of criteria for the severity of coronavirus infection, 44 (44%) patients were diagnosed with severe, 56 (56%) with moderate course. The groups did not significantly differ in age, gender, cardiovascular risk factors and comorbid pathology. In the groups with severe and moderate course, the same distribution of genotypes and alleles of AGT rs4762, AGTR2 rs1403543 and ACE1 rs1799752 was revealed. For the I/D alleles of the ACE1 rs1799752 gene, a significant deviation from the papulation was found in both the group of severe and moderate COVID-19. In the group with a severe course of the disease, a higher frequency of the mutant C-allele of the AGTR1 rs5186 gene was detected. In the same group, a deviation in the frequency ratio of A and C of the AGTR1 rs5186 alleles from Hardy-Weinberg Equilibrium was found. When calculating the risk of severe COVID-19 in the presence of the C-allele compared with the A-allele, an odds ratio 2.092 (95% confidence interval 1.066-4.108) was obtained. The data obtained suggest that the genes polymorphisms of the components of renin-angiotensin-aldosterone system, namely D-allele of ACE1 rs1799752 and C-allele of AGTR1 rs5186, may make it possible to identify groups of patients predisposed to the development of more severe COVID-19.

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