Abstract

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 < 1) were identifi ed. Patient samples were infected with 14 lines of SARS-CoV-2, fi ve of which (B.1.1.129, B.1.1.407, B.1.1.373, B.1.1.397, and B.1.1.152) were of Russian origin. The SNPs in the samples infected with the strains of non-Russian origin were associated with an increased risk of mortality (OR = 2.267, 95% confi dence interval 0.1594-8.653) compared to the SNPs in the samples obtained from the group of patients infected with the strains of Russian origin. Positive correlations were identifi ed between the average SNP number, nonsynonymous SNPs, and S-protein SNPs with the degree of respiratory failure, total NEWS score, CT-based form of disease, duration of treatment with mechanical ventilation, disease outcome, levels of LDH, glucose, D-dimer, and ferritin, and RNA amount in the PCR test. S-protein SNPs negatively correlated with the leukocyte and neutrophil counts.

Highlights

  • Пандемия коронавирусной инфекции COVID-19, начавшись в конце 2019 г. в китайском Ухане, в 2020–2021 гг. распространилась на 222 страны мира, включая и Россию, и вызвала более 190 млн случаев инфицирования и более 4 млн летальных исходов во всем мире [1]

  • The number of mutations in SARS-CoV-2 depending on the severity of the disease

  • Note: The origin of the virus could not be determined in nine samples

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Summary

Общая и клиническая характеристика пациентов

В исследование включены образцы вирусной РНК, выделенные от 56 пациентов с инфекцией COVID-19, находившихся на лечении в ГБУЗ «Городская больница No 40» Санкт-Петербурга в период с 18.04.2020 по 31.01.2021 г., имевших положительный результат теста на наличие РНК SARS-CoV-2 методом амплификации нуклеиновых кислот в полимеразной цепной реакции (ПЦР). Исследование было одобрено экспертным советом по этике СПб ГБУЗ «Городская больница No 40» (протокол No 171 от 18 мая 2020 г.). У 25 пациентов (45,5%) заболевание закончилось летальным исходом Общая характеристика пациентов с COVID-19 Table 1.

Умершие Died
Терапия пациентов с коронавирусной инфекцией
Выделение РНК
Биоинформатический анализ
Среднее количество молчащих мутаций Average number of silent mutations
Отношение Доверительный шансов интервал
Линии смешанного генеза Lines of mixed genesis
Ферритин Ferritin
Информация о вкладе авторов
Information on author contributions
Findings
Information about the authors
Full Text
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