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The lineage of coronavirus SARS-CoV-2 of Russian origin: Genetic characteristics and correlations with clinical parameters and severity of coronavirus infection

https://doi.org/10.29001/2073-8552-2021-36-4-132-143

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.

About the Authors

O. S. Glotov
City Hospital No. 40 of Kurortny Administrative District; D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction; Children’s Scientific and Clinical Center for Infectious Diseases of the Federal Medical and Biological Agency
Russian Federation

 Cand. Sci. (Biol.), Head of Department of Virological and Molecular Genetic Methods of Diagnostics 

 9, Borisov str., Sestroretsk, Saint Petersburg, 197706, Russian Federation 

 3, Mendeleevskaya liniya, Saint Petersburg, 199034, Russian Federation 

 9, Professor Popov str., Saint Petersburg, 197022, Russian Federation 



A. N. Chernov
Institute of Experimental Medicine 
Russian Federation

 Research Scientist

 12, Pavlov str., Saint Petersburg, 197376, Russian Federation 



A. I. Korobeynikov
Saint Petersburg State University 
Russian Federation

 Cand. Sci. (Phys.-Math.), Associate Professor, Department of Statistical Modelling

 7, Universitetskaya emb., Saint-Petersburg, 199034, Russian Federation 



R. S. Kalinin
Children’s Scientific and Clinical Center for Infectious Diseases, Federal Medical and Biological Agency 
Russian Federation

 Junior Research Scientist, Department of Virological and Molecular Genetic Methods of Diagnostics

 9, Professor Popov str., Saint Petersburg, 197022, Russian Federation 



V. V. Tsai
Children’s Scientific and Clinical Center for Infectious Diseases, Federal Medical and Biological Agency 
Russian Federation

 Junior Research Scientist, Department of Virological and Molecular Genetic Methods of Diagnostics

 9, Professor Popov str., Saint Petersburg, 197022, Russian Federation 



A. Yu. Anisenkova
City Hospital No. 40 of Kurortny Administrative District; Saint Petersburg State University
Russian Federation

 Cand. Sci. (Med.), Associate Professor, Internist, Cardiologist, Head of Internal Medicine Department 

 9, Borisov str., Sestroretsk, Saint Petersburg, 197706, Russian Federation 

 7, Universitetskaya emb., Saint-Petersburg, 199034, Russian Federation 



S. P. Urazov
City Hospital No. 40 of Kurortny Administrative District 
Russian Federation

 Cardiologist

 9, Borisov str., Sestroretsk, Saint Petersburg, 197706, Russian Federation 



A. L. Lapidus
Saint Petersburg State University
Russian Federation

 Cand. Sci. (Biol.), Director of Center for Bioinformatics and Algorithmic Biotechnology

 7, Universitetskaya emb., Saint-Petersburg, 199034, Russian Federation 



S. V. Mosenko
City Hospital No. 40 of Kurortny Administrative District 
Russian Federation

 Cand. Sci. (Med.)

 9, Borisov str., Sestroretsk, Saint Petersburg, 197706, Russian Federation 



S. G. Shcherbak
City Hospital No. 40 of Kurortny Administrative District; Saint Petersburg State University
Russian Federation

 Dr. Sci. (Med.), Professor, Chief Physician

 9, Borisov str., Sestroretsk, Saint Petersburg, 197706, Russian Federation 

 7, Universitetskaya emb., Saint-Petersburg, 199034, Russian Federation 



References

1. Reported Cases and Deaths by Country or Territory. URL: https://www.worldometers.info/coronavirus/#countries

2. Nguyen T.T., Pathirana P.N., Nguyen T., Nguyen Q.V.H., Bhatti A., Nguyen D.C. et al. Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus). Sci. Rep. 2021;11(1):3487. DOI: 10.1038/s41598-021-83105-3.

3. Yin C. Genotyping coronavirus SARS-CoV-2: Methods and implications. Genomics. 2020;112(5):3588‒3596. DOI: 10.1016/j.ygeno.2020.04.016.

4. Toovey O.T.R., Harvey K.N., Bird P.W., Tang J.W.W. Introduction of Brazilian SARS-CoV-2 484K.V2 related variants into the UK. J. Infect. 2021;82(5):e23–e24. DOI: 10.1016/j.jinf.2021.01.025.

5. World Health Organization. SARS-CoV-2 Variants. URL: https://www.who.int/csr/don/31-december-2020-sars-cov2-variants/en/

6. Zhang W., Davis B.D., Chen S.S., Sincuir Martinez J.M., Plummer J.T., Vail E. Emergence of a novel SARS-CoV-2 variant in southern California. JAMA. 2021;325(13):1324–1326. DOI: 10.1001/jama.2021.1612.

7. Sabino E.C., Buss L.F., Carvalho M.P.S., Prete C.A. Jr., Crispim M.A.E., Fraiji N.A. et al. Resurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence. Lancet. 2021;397(10273):452–455. DOI: 10.1016/S0140-6736(21)00183-5.

8. PANGO lineages. URL: https://cov-lineages.org/lineage_designation.html

9. Carr E., Bendayan R., Bean D., Stammers M., Wang W., Zhang H. et al. Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: A multi-hospital study. BMC Med. 2021;19(1):23. DOI: 10.1186/s12916-020-01893-3

10. Gene JET RNA Purification Kit. URL: https://www.thermofisher.com/order/catalog/product/K0731

11. Illumina DNA Prep with Enrichment. Reference Guide. URL: https://support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/illumina_prep/illumina-dna-prep-with-enrichment-reference-1000000048041-06.pdf

12. Patel H., Varona S., Monzón S., Espinosa-Carrasco J., Heuer M.L., Gabernet G. et al. nf-core/viralrecon: nf-core/viralrecon. Zenodo. 2021. DOI: 10.5281/zenodo.514625.

13. https://medstatistic.ru/calculators/calcodds.html

14. Abe K., Kabe Y., Uchiyama S., Iwasaki Y.W., Ishizu H., Uwamino Y. et al. Pro108Ser mutant of SARS-CoV-2 3CLpro reduces the enzymatic activity and ameliorates COVID-19 severity in Japan. medRxiv. 2020;11(24):20235952. DOI: 10.1101/2020.11.24.20235952.

15. Caccuri F., Zani A., Messali S., Giovanetti M., Bugatti A., Campisi G. et al. A persistently replicating SARS-CoV-2 variant derived from an asymptomatic individual. J. Transl. Med. 2020;18(1):362. DOI: 10.1186/s12967-020-02535-1.

16. Wang R., Chen J., Gao K., Hozumi Y., Yin C., Wei G.W. Analysis of SARS-CoV-2 mutations in the United States suggests presence of four substrains and novel variants. Commun. Biol. 2021;4(1):228. DOI: 10.1038/s42003-021-01754-6.

17. Korber B., Fischer W.M., Gnanakaran S., Yoon H., Theiler J., Abfalterer W. et al. Tracking changes in SARS-CoV-2 spike: Evidence that D614G increases infectivity of the COVID-19 virus. Cell. 2020;182(4):812–827.e19.

18. Shcherbak S.G., Anisenkova A.Y., Mosenko S.V., Glotov O.S., Chernov A.N., Apalko S.V. et al. Basic predictive risk factors for cytokine storms in COVID-19 patients. Front. Immunol. 2021;12:745515. DOI: 10.3389/fi mmu.2021.745515.

19. Myrstad M., Ihle-Hansen H., Tveita A.A., Andersen E.L., Nygård S., Tveit A. et al. National Early Warning Score 2 (NEWS2) on admission predicts severe disease and in-hospital mortality from Covid-19 – a prospective cohort study. Scand. J. Trauma Resusc. Emerg. Med. 2020;28(1):66. DOI: 10.1186/s13049-020-00764-3.

20. King C.S., Sahjwani D., Brown A.W., Feroz S., Cameron P., Osborn E. et al. Outcomes of mechanically ventilated patients with COVID-19 associated respiratory failure. PLoS One. 2020;15(11):e0242651. DOI: 10.1371/journal.pone.0242651.

21. Caricchio R., Gallucci M., Dass C., Zhang X., Gallucci S., Fleece D. et al. Preliminary predictive criteria for COVID-19 cytokine storm. Ann. Rheum. Dis. 2020;0:1–8. DOI: 10.1136/annrheumdis-2020-218323.

22. Yilmaz A., Sabirli R., Seyit M., Ozen M., Oskay A., Cakmak V. et al. Association between laboratory parameters and CT severity in patients infected with Covid-19: A retrospective, observational study. Am. J. Emerg. Med. 2021;42:110–114. DOI: 10.1016/j.ajem.2021.01.040.


Review

For citations:


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. The lineage of coronavirus SARS-CoV-2 of Russian origin: Genetic characteristics and correlations with clinical parameters and severity of coronavirus infection. Siberian Journal of Clinical and Experimental Medicine. 2021;36(4):132-143. (In Russ.) https://doi.org/10.29001/2073-8552-2021-36-4-132-143

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ISSN 2713-2927 (Print)
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