Effect of prevaccination blood and T-cell phenotypes on antibody responses to a COVID-19 mRNA vaccine
Yu Hidaka, Norihide Jo, Osamu Kikuchi, Masaru Fukahori, Takeshi Sawada, Yutaka Shimazu, Masaki Yamamoto, Kohei Kometani, Miki Nagao, Takako E Nakajima, Manabu Muto, Satoshi Morita, Yoko Hamazaki

TL;DR
This study identifies pre-vaccination blood and T-cell markers that predict antibody responses to a COVID-19 mRNA vaccine.
Contribution
The study introduces novel pre-vaccination predictors of IgG responses to a COVID-19 mRNA vaccine.
Findings
Higher frequencies of interferon-γ+ spike-specific CD4+ T cells correlate with stronger antibody responses.
Lower percentages of naïve CD8+ T cells and lower hemoglobin levels predict lower antibody titers.
Pre-existing spike-reactive T cells do not influence peak IgG levels.
Abstract
Despite the high effectiveness of the coronavirus disease 2019 (COVID-19) mRNA vaccines, both immunogenicity and reactogenicity show substantial interindividual variability. One key challenge is predicting high and low responders using easily measurable parameters. In this study, we performed multivariate linear regression analysis, which allows adjustment for confounding, to explore independent predictive factors for antibody responses. Using data from 216 healthy vaccinated donors aged 23–81 years, we evaluated baseline characteristics, prevaccination blood and T-cell phenotypes, and post-vaccination T-cell responses as variables, with anti-receptor-binding domain (RBD) immunoglobulin G (IgG) titers following two doses of BNT162b2 vaccination as the primary outcome. Consistent with previous reports, higher age, a history of allergic disease, and autoimmune disease were associated with…
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Taxonomy
TopicsSARS-CoV-2 and COVID-19 Research · Immunotherapy and Immune Responses · vaccines and immunoinformatics approaches
