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建模 COVID-19 疫苗加强针诱导的抗体反应和感染史的影响。

Modeling COVID-19 vaccine booster-elicited antibody response and impact of infection history.

机构信息

interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya 464-8602, Japan.

Department of Neurosurgery, National Hospital Organization Kyushu Medical Center, Fukuoka 810-8563, Japan; Division of Transcriptomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-0054, Japan.

出版信息

Vaccine. 2023 Dec 18;41(52):7655-7662. doi: 10.1016/j.vaccine.2023.11.040. Epub 2023 Nov 25.

DOI:10.1016/j.vaccine.2023.11.040
PMID:38008663
Abstract

The 3-dose COVID-19 vaccine (booster vaccination) has been offered worldwide. As booster vaccinations continue, it is important to understand the antibody dynamics elicited by booster vaccination in order to evaluate and develop vaccination needs and strategies. Here, we investigated longitudinal data by monitoring IgG antibodies against the receptor binding domain (RBD) in health care workers. We extended our previously developed mathematical model to booster vaccines and successfully fitted antibody titers over time in the absence and presence of past SARS-CoV-2 infection. Quantitative analysis using our mathematical model indicated that anti-RBD IgG titers increase to a comparable extent after booster vaccination, regardless of the presence or absence of infection, but infection history extends the duration of antibody response by 1.28 times. Such a mathematical modeling approach can be used to inform future vaccination strategies on the basis of an individual's immune history. Our simple quantitative approach can be extended to any kind of vaccination and therefore can form a basis for policy decisions regarding the distribution of booster vaccines to strengthen immunity in future pandemics.

摘要

全球范围内已提供了 3 剂 COVID-19 疫苗(加强针)。随着加强针接种的持续进行,了解加强针接种所引起的抗体动态变化对于评估和制定接种需求和策略非常重要。在这里,我们通过监测医护人员针对受体结合域(RBD)的 IgG 抗体来研究纵向数据。我们扩展了之前开发的数学模型,成功拟合了有无既往 SARS-CoV-2 感染情况下的时间抗体滴度。使用我们的数学模型进行的定量分析表明,加强针接种后,无论是否存在感染,抗-RBD IgG 滴度都会增加到相当程度,但感染史会使抗体反应的持续时间延长 1.28 倍。这种基于个体免疫史的数学建模方法可以为未来的疫苗接种策略提供信息。我们的简单定量方法可以扩展到任何类型的疫苗接种,因此可以为未来大流行期间加强免疫力的加强针疫苗分配政策决策提供基础。

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