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In-silico evaluation of the T-cell based immune response against SARS-CoV-2 omicron variants.
- Source :
-
Scientific reports [Sci Rep] 2024 Oct 25; Vol. 14 (1), pp. 25413. Date of Electronic Publication: 2024 Oct 25. - Publication Year :
- 2024
-
Abstract
- During of COVID-19 pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has continuously evolved, resulting in the emergence of several new variants of concerns (VOCs) with numerous mutations. These VOCs dominate in various regions due to increased transmissibility and antibody evasion, potentially reducing vaccine effectiveness. Nonetheless, it remains uncertain whether the recent SARS-CoV-2 VOCs have the ability to circumvent the T cell immunity elicited by either COVID-19 vaccination or natural infection. To address this, we conducted in-silico analysis to examine the impact of VOC-specific mutations at the epitope level and T cell cross-reactivity with the ancestral SARS-CoV-2. According to the in-silico investigation, T cell responses triggered by immunization or prior infections still recognize the variants in spite of mutations. These variants are expected to either maintain their dominant epitope HLA patterns or bind with new HLAs, unlike the epitopes of the ancestral strain. Our findings indicate that a significant proportion of immuno-dominant CD8 + and CD4 + epitopes are conserved across all the variants, implying that existing vaccines might maintain efficacy against new variations. However, further in-vitro and in-vivo studies are needed to validate the in-silico results and fully elucidate immune sensitivities to VOCs.<br /> (© 2024. The Author(s).)
- Subjects :
- Humans
Cross Reactions immunology
CD8-Positive T-Lymphocytes immunology
CD4-Positive T-Lymphocytes immunology
COVID-19 Vaccines immunology
T-Lymphocytes immunology
SARS-CoV-2 immunology
SARS-CoV-2 genetics
COVID-19 immunology
COVID-19 virology
COVID-19 prevention & control
Epitopes, T-Lymphocyte immunology
Computer Simulation
Mutation
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 14
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 39455652
- Full Text :
- https://doi.org/10.1038/s41598-024-75658-w