ABSTRACT
Background/Objectives: Despite intensive research of the novel coronavirus SARS-CoV-2 and COVID-2019 caused by it, factors affecting the severity of the disease remains poorly understood. Clinical manifestations of COVID-2019 may vary from asymptomatic form to pneumonia, acute respiratory distress syndrome (ARDS) and multiorgan failure. Features of individual genetic landscape of patients can play an important role in development of the pathological process of COVID-19. In this regard the purpose of this study was to investigate the influence of polymorphic variants in genes (ADD1, CAT, IL17F, IL23R, NOS3, IFNL3, IL6, F2, F13A1, ITGB3, HIF1A, MMP12, VEGFA), associated with cardiovascular, respiratory and autoimmune pathologies, on the severity of COVID-19 and post-COVID syndrome in patients from Russia. Method(s): The study included 200 patients recovered from COVID-19. Two groups of patients were formed in accordance with clinical manifestations: with mild and moderate forms of the disease. The polymorphic variants were analysed with real-time PCR using commercial kits (Syntol). Result(s): 13 SNPs (rs4961;rs1001179;rs612242;rs11209026;rs2070744;rs8099917;rs1800795;rs1799963;rs5985;rs5918;rs11549465;rs652438;rs699947) were genotyped and comparative analysis of allele frequency distribution was carried out in two groups of patients recovered from COVID-2019. Conclusion(s): Identification of polymorphic variants in genome associated with severity of pathological processes in patients infected with SARS-CoV-2 can contribute to the identification of individuals with an increased risk of severe infection process and can also serve as a basis for developing personalized therapeutic approaches to the treatment of post-COVID syndrome.
ABSTRACT
Background/Objectives: Latest studies have stressed the relevance of cholesterol metabolism with susceptibility to COVID-19 and its severity. We have previously shown downregulation of low-density lipoprotein particle receptor pathway in severe COVID-19 patient surviving compared to non-surviving(1). We aimed to assess the over-time expression changes of its relevant genes in severe COVID-19 patients with different outcomes (survivors/ non-survivors). Method(s): Blood samples were taken from 39 severe COVID-19 patients without chronic diseases twice: on the day of admission to the intensive care (T1) and in one week (T2). Within 30-day follow-up 18 patients recovered and 21 patients died. 20 individuals never previously infected with COVID-19 were also enrolled. Expression levels of studied genes in peripheral blood lymphocytes were analyzed by real-time PCR with TaqMan assay. Result(s): Increased expression of STAB1 at T2, PPARgamma at T1 and CD36 at T1 and T2 were revealed in COVID-19 patients regardless of the outcome compared to controls (p < 0.05). Interesting, that in respective groups of COVID-19 patients increased STAB1, decreased PPARgamma and in survivors decreased LRP6 expression were revealed at T2 compared to T1 (p < 0.01). Also, STAB1 expression was decreased in survivors compared to non-survivors at T2 (p=0.017). Conclusion(s): Our study revealed, that patients with severe COVID-19 are characterized by increased expression of cholesterol metabolism related genes, withmore pronounced decrease of expression of these genes over time for survivors. Increased STAB1 expression may be considered as a predictor of poor COVID-19 prognosis.