Klinefelter syndrome (KS) is a common sex chromosome-related abnormality seen among men. KS negatively affects spermatogenesis and testosterone production. It increases the risk of thrombosis but its molecular mechanism has not been well described yet. Elevated PAI-1 is a risk factor for thrombosis. The rs1799889 polymorphism located in the promoter region of the PAI-1 gene was detected in patients with deep venous thrombosis. In this study, the PAI-1 gene variant and its plasma levels in KS patients were examined. Forty-one KS patients (47, XXY) and 50 age-matched healthy controls participated. DNA was isolated from peripheral blood and a real-time PCR method was used to detect known SNPs in the PAI-1 gene. In addition, PAI-1 plasma levels were measured by using ELISA method. There was no significant difference between PAI-1 gene polymorphisms of KS patients and controls (p > .05). The significant difference was observed in PAI-1 plasma levels between two groups (high PAI-1 plasma level in KS patients compared to controls). The patients’ group mean was 55.13 and control group mean in PAI-1 level was 29.89 ng/ml (p = .020). Clinical features related to thromboembolism especially varicose veins were detected in KS patients frequently (p = .04). These results suggest that thromboembolism related to clinical features is seen more frequently in cases with KS, but it may not be dependent only on the PAI-1 gene polymorphism structure.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible coronavirus and has caused a pandemic of acute respiratory disease, named ‘coronavirus disease 2019’ (COVID-19). COVID-19 has a deep impact on public health as one of the most serious pandemics in the last century. Tracking SARS-CoV-2 is important for monitoring and assessing its evolution. This is only possible by detecting all mutations in the viral genome through genomic sequencing. Moreover, accurate detection of SARS-CoV-2 and tracking its mutations is also required for its correct diagnosis. Potential effects of mutations on the prognosis of the disease can be observed. Assignment of epidemiological lineages in an emerging pandemic requires efforts. To address this, we collected 1000 SARS-CoV-2 samples from different geographical regions in Turkey and analyze their genome comprehensively. To track the virus across Turkey we focus on 10 distinct cities in different geographic regions. Each SARS-CoV-2 genome was analyzed and named according to the nomenclature system of Nextclade and Pangolin Lineage. Furthermore, the frequency of the variations observed in 10 months was also determined by region. In this way, we have observed how the virus mutations and what kind of transmission mechanism it has. The effects of age and disease severity on lineage distribution were other considered parameters. The temporal rates of SARS-CoV-2 variants by time in Turkey were close to the global trend. This study is one of the most comprehensive whole genome analyses of SARS-CoV-2 that represents a general picture of the distribution of SARS-CoV-2 variations in Turkey in 2021.Author SummarySince the outbreak of the COVID-19 pandemic in 2019, the viral genome of SARS-CoV-2 was analysed intensively all over the world both to detect its zoonotic origin and the emerging variants worldwide together with the variants’ effect on the prognosis and treatment, respectively, of the infection. Remarkable COVID-19 studies were also made in Turkey as it was in the rest of the world. To date, indeed, almost all studies on COVID-19 in Turkey either sequenced only a small number of the viral genome or analysed the viral genome which was obtained from online databases. In respect thereof, our study constitutes a milestone regarding both the huge sample size consisting of 1000 viral genomes and the widespread geographic origin of the viral genome samples. Our study provides new insights both into the SARS-CoV-2 landscape of Turkey and the transmission of the emerging viral pathogen and its interaction with its vertebrate host.
Missense mutations in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus may cause changes in the structure of proteins. The nucleocapsid (N) protein is an important target for drugs and vaccines. The main purpose of this study is to detect missense mutations in the SARS-CoV-2 N protein and to reveal the effects of these mutations on protein structure by using in silico approaches. 161 missense mutations of the N protein were determined in 2286 SARS-CoV-2 genomes derived from the GISAID EpiCoV database in the Turkish population. Identified 161 missense mutations were analyzed by using sequence and structure-based methods to predict effects of mutation on function and structure of SARS-CoV-2 N protein. These analyzes revealed that some mutations showed deleterious effects and change of stability and flexibility of nucleocapsid protein. D3L, S194L, S235F, and P13L (Omicron variant) mutations were further analyzed in our study due to their importance in the literature and in our results. Even though, our findings are essential for research of SARS-CoV-2 virus, in vitro and in vivo validations are necessary.
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