Back

Highly functional Cellular Immunity in SARS-CoV-2 Non-Seroconvertors is associated with immune protection

Kilpelainen, A.; Jimenez-Moyano, E.; Blanch-Lombarte, O.; Ouchi, D.; Penya, R.; Quirant-Sanchez, B.; Chamorro, A.; Blanco, I.; Martinez-Caceres, E.; Paredes, R.; Mateu, L.; Carrillo, J.; Blanco, J.; Brander, C.; Massanella, M.; Clotet, B.; G Prado, J.

2021-05-04 immunology
10.1101/2021.05.04.438781 bioRxiv
Show abstract

The role of T cells in the control of SARS-CoV-2 infection has been underestimated in favor of neutralizing antibodies. However, cellular immunity is essential for long-term viral control and protection from disease severity. To understand T-cell immunity in the absence of antibody generation we focused on a group of SARS-CoV-2 Non-Seroconvertors (NSC) recovered from infection. We performed an immune comparative analysis of SARS-CoV-2 infected individuals stratified by the absence or presence of seroconversion and disease severity. We report high levels of total naive and low effector CD8+ T cells in NSC. Moreover, polyfunctional Nucleocapsid (NP)-specific CD8+ T-cell responses, as well as reduced levels of T-cell activation monitored by PD-1 and activation-induced markers, were distinctive immunological traits in NSC. Longitudinal data support the stability of the NSC phenotype over three months. Our results implicate highly functional SARS-CoV-2 Spike and NP T-cell responses with low immune activation in protection from disease severity in the absence of seroconversion. SUMMARYTo understand SARS-CoV-2 specific T-cell immunity in the absence of seroconversion, we characterized immunological features of Non-Seroconvertors recovered from infection. Highly functional specific T-cell responses and low immune activation were determinants of immune protection from severe disease.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.