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. 2022 May 31;13:863554. doi: 10.3389/fimmu.2022.863554

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Copyright © 2022 Desmecht, Tashkeev, El Moussaoui, Marechal, Perée, Tokunaga, Fombellida-Lopez, Polese, Legrand, Wéry, Mni, Fouillien, Toussaint, Gillet, Bureau, Lutteri, Hayette, Moutschen, Meuris, Vermeersch, Desmecht, Rahmouni and Darcis

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Dynamics of humoral immune response to SARS-CoV-2 mRNA vaccine BNT162b2. (A, B) dynamics of anti-Spike IgG (log10 BAU/ml) – median across individuals per approximate time point (A), or for each individual (B) with exact time points; (C, D) dynamics of virus neutralization titer (-log10 values, zeroed if titer was less than 1/20) – median across individuals per approximate time point (C), or for each individual with exact time points (D); (E) same as in (A), but grouping individuals by the ability to neutralize virus at the last time point [based on (C)]; (F) Logistic regression-derived boundary value of anti-Spike IgG level at the last time point separating individuals with no detectable neutralization at T4 from the others (inability to separate them by anti-Spike IgG at earlier time points is shown on Figure S3), mean ± standard deviation values of the model performance are shown. **: p <= 0.01 ,***: p <= 0.001, ****: p <= 0.0001.