Institute for Applied Computing, National Research Council of Italy, Rome, Italy.
MeriGen Res, Naples, Italy.
Front Immunol. 2022 Oct 24;13:998262. doi: 10.3389/fimmu.2022.998262. eCollection 2022.
The immune response to adenoviral COVID-19 vaccines is affected by the interval between doses. The optimal interval is unknown.
We aim to explore in-silico the effect of the interval between vaccine administrations on immunogenicity and to analyze the contribution of pre-existing levels of antibodies, plasma cells, and memory B and T lymphocytes.
We used a stochastic agent-based immune simulation platform to simulate two-dose and three-dose vaccination protocols with an adenoviral vaccine. We identified the model's parameters fitting anti-Spike antibody levels from individuals immunized with the COVID-19 vaccine AstraZeneca (ChAdOx1-S, Vaxzevria). We used several statistical methods, such as principal component analysis and binary classification, to analyze the correlation between pre-existing levels of antibodies, plasma cells, and memory B and T cells to the magnitude of the antibody response following a booster dose.
We find that the magnitude of the antibody response to a booster depends on the number of pre-existing memory B cells, which, in turn, is highly correlated to the number of T helper cells and plasma cells, and the antibody titers. Pre-existing memory T cytotoxic cells and antibodies directly influence antigen availability hence limiting the magnitude of the immune response. The optimal immunogenicity of the third dose is achieved over a large time window, spanning from 6 to 16 months after the second dose. Interestingly, after any vaccine dose, individuals can be classified into two groups, and , that differ in the kinetics of decline of their antibody titers due to differences in long-lived plasma cells. This suggests that the may benefit from a tailored boosting schedule with a shorter interval to avoid the temporary loss of serological immunity.
腺病毒 COVID-19 疫苗的免疫反应受两剂疫苗接种间隔的影响。最佳间隔时间尚不清楚。
我们旨在通过计算机模拟来探索疫苗接种间隔对免疫原性的影响,并分析预先存在的抗体、浆细胞和记忆 B 及 T 淋巴细胞的贡献。
我们使用基于随机代理的免疫模拟平台来模拟两剂和三剂腺病毒疫苗接种方案。我们从接种 COVID-19 疫苗阿斯利康(ChAdOx1-S,Vaxzevria)的个体中确定了模拟抗刺突抗体水平的模型参数。我们使用了几种统计方法,如主成分分析和二进制分类,来分析预先存在的抗体、浆细胞和记忆 B 和 T 细胞水平与加强剂量后抗体反应幅度之间的相关性。
我们发现,加强剂量后的抗体反应幅度取决于预先存在的记忆 B 细胞数量,而记忆 B 细胞数量又与辅助性 T 细胞和浆细胞数量以及抗体滴度高度相关。预先存在的记忆 T 细胞毒性细胞和抗体直接影响抗原的可用性,从而限制了免疫反应的幅度。第三剂疫苗的最佳免疫原性在很大的时间窗口内实现,从第二剂后 6 至 16 个月。有趣的是,在任何疫苗接种后,个体都可以分为 和 两组,由于长寿命浆细胞的差异,它们的抗体滴度下降动力学不同。这表明, 可能受益于更短间隔的定制加强接种计划,以避免暂时失去血清学免疫力。