Autor: |
Michał Majchrzak, Łukasz Madej, Małgorzata Łysek-Gładysińska, Dorota Zarębska-Michaluk, Katarzyna Zegadło, Anna Dziuba, Katarzyna Nogal-Nowak, Wioleta Kondziołka, Iwona Sufin, Mieczysława Myszona-Tarnowska, Mateusz Jaśkowski, Mateusz Kędzierski, Jadwiga Maciukajć, Jarosław Matykiewicz, Stanisław Głuszek, Wioletta Adamus-Białek |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-16 (2024) |
Druh dokumentu: |
article |
ISSN: |
1471-2334 |
DOI: |
10.1186/s12879-024-09146-x |
Popis: |
Abstract Background The evolution of SARS-CoV-2 has been observed from the very beginning of the fight against COVID-19, some mutations are indicators of potentially dangerous variants of the virus. However, there is no clear association between the genetic variants of SARS-CoV-2 and the severity of COVID-19. We aimed to analyze the genetic variability of RdRp in correlation with different courses of COVID-19. Results The prospective study included 77 samples of SARS-CoV-2 isolated from outpatients (1st degree of severity) and hospitalized patients (2nd, 3rd and 4th degree of severity). The retrospective analyses included 15,898,266 cases of SARS-CoV-2 genome sequences deposited in the GISAID repository. Single-nucleotide variants were identified based on the four sequenced amplified fragments of SARS-CoV-2. The analysis of the results was performed using appropriate statistical methods, with p T, 14697C > T, 15096 T > C, and 15279C > T), while the 15240C > T mutation was common among strains isolated from outpatients. The selected mutations were searched worldwide in the GISAID database, their presence was correlated with the severity of COVID-19. Conclusion Identified mutations have the potential to be used to assess the increased risk of hospitalization in COVID-19 positive patients. Experimental studies and extensive epidemiological data are needed to investigate the association between individual mutations and the severity of COVID-19. |
Databáze: |
Directory of Open Access Journals |
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