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Pressured cytotoxic T cell epitope strength among SARS-CoV-2 variants correlates with COVID-19 severity

Rao, V and Banerjee, U and Sambaturu, N and Chunchanur, S and Ambica, R and Chandra, N (2023) Pressured cytotoxic T cell epitope strength among SARS-CoV-2 variants correlates with COVID-19 severity. In: HLA .

Full text not available from this repository.
Official URL: https://doi.org/10.1111/tan.15071

Abstract

Heterogeneity in susceptibility among individuals to COVID-19 has been evident through the pandemic worldwide. Cytotoxic T lymphocyte (CTL) responses generated against pathogens in certain individuals are known to impose selection pressure on the pathogen, thus driving emergence of new variants. In this study, we probe the role played by host genetic heterogeneity in terms of HLA-genotypes in determining differential COVID-19 severity in patients. We use bioinformatic tools for CTL epitope prediction to identify epitopes under immune pressure. Using HLA-genotype data of COVID-19 patients from a local cohort, we observe that the recognition of pressured epitopes from the parent strain Wuhan-Hu-1 correlates with COVID-19 severity. We also identify and rank list HLA-alleles and epitopes that offer protectivity against severe disease in infected individuals. Finally, we shortlist a set of 6 pressured and protective epitopes that represent regions in the viral proteome that are under high immune pressure across SARS-CoV-2 variants. Identification of such epitopes, defined by the distribution of HLA-genotypes among members of a population, could potentially aid in prediction of indigenous variants of SARS-CoV-2 and other pathogens.

Item Type: Journal Article
Publication: HLA
Publisher: John Wiley and Sons Inc
Additional Information: The copyright for this article belongs to John Wiley and Sons Inc.
Keywords: COVID-19; CTL epitope strength; epitopes; immune pressure; SARS-CoV-2 variants
Department/Centre: Division of Biological Sciences > Biochemistry
Date Deposited: 15 Jun 2023 08:29
Last Modified: 15 Jun 2023 08:29
URI: https://eprints.iisc.ac.in/id/eprint/81985

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