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Published: July 31, 2023
DOI: https://doi.org/10.1016/j.chom.2023.07.004
Ye-Fan Hu, Terrence Tsz-Tai Yuen, Hua-Rui Gong, ..., Bao-Zhong Zhang, Hin Chu, Jian-Dong Huang
In brief
Consistent with the prediction of an in silico antigenic distance model, Hu et al. find that a SARS-CoV-1-based booster outperforms other candidates to elicit more durable and broader neutralizing responses and provides better protection against BA.2 challenge in mice. This model provides a useful strategy for designing future booster vaccines.
Highlights
DOI: https://doi.org/10.1016/j.chom.2023.07.004
Ye-Fan Hu, Terrence Tsz-Tai Yuen, Hua-Rui Gong, ..., Bao-Zhong Zhang, Hin Chu, Jian-Dong Huang
In brief
Consistent with the prediction of an in silico antigenic distance model, Hu et al. find that a SARS-CoV-1-based booster outperforms other candidates to elicit more durable and broader neutralizing responses and provides better protection against BA.2 challenge in mice. This model provides a useful strategy for designing future booster vaccines.
Highlights
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An antigenic distance in silico model suggests SARS-CoV-1 as a better COVID-19 booster - •
A booster with SARS-CoV-1 spike induces more effective protection against BA.2 challenge - •
SARS-CoV-1-based booster elicits better breadth and durability of neutralizing response - •
This model offers a strategy for the selection of SARS-CoV-2 boosters