The lineage of coronavirus SARS-COV-2 of Russian origin: genetic characteristics and correlations with clinical parameters and severity of coronavirus infection
Автор: Glotov O.S., Chernov A.N., Korobeynikov A.I., Kalinin R.S., Tsai V.V., Anisenkova A. Yu., Urazov S.P., Lapidus A.L., Mosenko S.V., Shcherbak S.G.
Журнал: Сибирский журнал клинической и экспериментальной медицины @cardiotomsk
Рубрика: Экспериментальные исследования
Статья в выпуске: 4 т.36, 2021 года.
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The identification of new SARS-CoV-2 and human protein and gene targets, which may be markers of the severity and outcome of the disease, are extremely important during the COVID-19 pandemic. The goal of this study was to carry out genetic analysis of SARS-CoV-2 RNA samples to elucidate correlations of genetic parameters (SNPs) with clinical data and severity of COVID-19 infection.Material and Methods. The study included viral RNA samples isolated from 56 patients with COVID-19 infection who received treatment at the City Hospital No. 40 of St. Petersburg from 04/18/2020 to 04/18/2021. Patients underwent physical examination with the assessments of hemodynamic and respiratory parameters, clinical risk according to National Early Warning Score (NEWS), computed tomography (CT) of the chest, and laboratory studies including clinical blood analysis, assessment of ferritin, C-reactive protein (CRP), interleukin-6 (IL-6), lactate dehydrogenase (LDH), D-dimer, creatinine, and glucose levels. All patients tested positive for SARS-CoV-2 RNA by polymerase chain reaction (PCR). Single nucleotide polymorphisms (SNPs) in viral RNA were identified through the creation of cDNA libraries by targeted sequencing (MiSeq Illumina). Bioinformatic analysis of viral samples was performed using the viralrecon v2 pipeline with the further annotation via Pangolin and Nextlade. Sampled genomes were visualized using the Integrative Genomics Viewer (IGV) software. Statistical data processing (descriptive statistics and graphical analysis of data relationships from diff erent tables) was performed using a GraphPad device on the Prism 8.01 platform.Results. A comparative analysis of SNP frequencies in the virus genome in samples from deceased and discharged patients was carried out. The SNPs associated with risk of death (OR > 1), neutral SNPs (OR = 1), and protective SNPs (OR function show_eabstract() { $('#eabstract1').hide(); $('#eabstract2').show(); $('#eabstract_expand').hide(); }
Sars-cov-2, covid-19 infection, genes, snp, severity, clinical symptoms, biochemical markers, correlations
Короткий адрес: https://sciup.org/149139361
IDR: 149139361 | DOI: 10.29001/2073-8552-2021-36-4-132-143