A systems approach evaluating the impact of SARS-CoV-2 variant of concern mutations on CD8+ T cell responses.
A systems approach evaluating the impact of SARS-CoV-2 variant of concern mutations on CD8+ T cell responses.
复制标题
DOI:
10.1093/immadv/ltad005
复制
发表时间:
2023
影响因子:
--
通讯作者:
中科院分区:
文献类型:
--
作者:
T cell recognition of SARS-CoV-2 antigens after vaccination and/or natural infection has played a central role in resolving SARS-CoV-2 infections and generating adaptive immune memory. However, the clinical impact of SARS-CoV-2-specific T cell responses is variable and the mechanisms underlying T cell interaction with target antigens are not fully understood. This is especially true given the virus’ rapid evolution, which leads to new variants with immune escape capacity. In this study, we used the Omicron variant as a model organism and took a systems approach to evaluate the impact of mutations on CD8+ T cell immunogenicity. We computed an immunogenicity potential score for each SARS-CoV-2 peptide antigen from the ancestral strain and Omicron, capturing both antigen presentation and T cell recognition probabilities. By comparing ancestral vs. Omicron immunogenicity scores, we reveal a divergent and heterogeneous landscape of impact for CD8+ T cell recognition of mutated targets in Omicron variants. While T cell recognition of Omicron peptides is broadly preserved, we observed mutated peptides with deteriorated immunogenicity that may assist breakthrough infection in some individuals. We then combined our scoring scheme with an in silico mutagenesis, to characterise the position- and residue-specific theoretical mutational impact on immunogenicity. While we predict many escape trajectories from the theoretical landscape of substitutions, our study suggests that Omicron mutations in T cell epitopes did not develop under cell-mediated pressure. Our study provides a generalisable platform for fostering a deeper understanding of existing and novel variant impact on antigen-specific vaccine- and/or infection-induced T cell immunity.
登录
查看更多内容
影响因子:
64.8
作者:
通讯作者:
--
DOI:
10.3390/v14010079
发表时间:
2022-01-02
期刊:
Viruses
影响因子:
--
作者:
Ahmed SF;Quadeer AA;McKay MR
通讯作者:
McKay MR
影响因子:
82.9
作者:
Gao Y;Cai C;Grifoni A;Müller TR;Niessl J;Olofsson A;Humbert M;Hansson L;Österborg A;Bergman P;Chen P;Olsson A;Sandberg JK;Weiskopf D;Price DA;Ljunggren HG;Karlsson AC;Sette A;Aleman S;Buggert M
通讯作者:
Buggert M
DOI:
10.1038/s41577-022-00676-6
发表时间:
2022-03
期刊:
Nature reviews. Immunology
影响因子:
--
作者:
Flemming A
通讯作者:
Flemming A
影响因子:
3.2
作者:
Dos Santos Francisco R;Buhler S;Nunes JM;Bitarello BD;França GS;Meyer D;Sanchez-Mazas A
通讯作者:
Sanchez-Mazas A