COVID-19 mRNAワクチン接種後の抗体価の予測因子を特定 ~個人の免疫応答能を予測するバイオマーカー探索の試み~

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2025-05-19 京都大学iPS細胞研究所

COVID-19 mRNAワクチン接種後の抗体価の予測因子を特定 ~個人の免疫応答能を予測するバイオマーカー探索の試み~

京都大学iPS細胞研究所(CiRA)などの研究グループは、COVID-19 mRNAワクチン接種後の抗体価を予測する因子を特定しました。年齢、アレルギー既往、自己免疫疾患の罹患に加え、平均赤血球容積(MCV)、ヘモグロビン値、リンパ球数、CD8+ T細胞におけるナイーブT細胞の割合が抗体価と関連することが示されました。特に、CD8+ T細胞におけるナイーブT細胞の割合は、抗体価を予測する有望なバイオマーカーとなる可能性が示唆されました。この研究成果は、個人の免疫応答能を予測し、ワクチン接種戦略の最適化や新たなワクチン開発に貢献することが期待されます。

<関連情報>

COVID-19 mRNAワクチンに対する抗体応答に及ぼすワクチン接種前の血液型およびT細胞表現型の影響 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 …
International Immunology  Published:21 March 2025
DOI:https://doi.org/10.1093/intimm/dxaf013

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 lower peak IgG titers. Additionally, the frequencies of interferon-γ+ spike-specific CD4+ T cells (T-cell response) following the first vaccination strongly correlated with higher IgG responses, while those of pre-existing spike-reactive T cells showed no association with peak IgG titers. Furthermore, we identified lower percentages of naïve CD8+ T cells, lower hemoglobin levels, lower lymphocyte counts, and higher mean corpuscular volume as independent pre-vaccination predictors of lower peak IgG levels. Notably, the frequency of naïve CD8+ T cells showed a positive correlation with the peak IgG levels even in univariate analysis. These findings contribute to the individualized prediction of mRNA vaccine efficacy and may provide insights into the mechanisms underlying individual heterogeneity in immune responses.

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