Understanding antibody magnitude and durability following vaccination against SARS-CoV-2

IF 1.9 4区 数学 Q2 BIOLOGY
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引用次数: 0

Abstract

Vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) results in transient antibody response against the spike protein. The individual immune status at the time of vaccination influences the response. Using mathematical models of antibody decay, we determined the dynamics of serum immunoglobulin G (IgG) and serum immunoglobulin A (IgA) over time. Data fitting to longitudinal IgG and IgA titers was used to quantify differences in antibody magnitude and antibody duration among infection-naïve and infection-positive vaccinees. We found that prior infections result in more durable serum IgG and serum IgA responses, with prior symptomatic infections resulting in the most durable serum IgG response and prior asymptomatic infections resulting in the most durable serum IgA response. These findings can guide vaccine boosting schedules.

了解接种 SARS-CoV-2 疫苗后抗体的强度和持久性。
接种严重急性呼吸系统综合症冠状病毒 2(SARS-CoV-2)疫苗会产生针对尖峰蛋白的一过性抗体反应。接种疫苗时的个体免疫状态会影响抗体反应。利用抗体衰减数学模型,我们确定了血清免疫球蛋白 G (IgG) 和血清免疫球蛋白 A (IgA) 随时间变化的动态。与纵向 IgG 和 IgA 滴度拟合的数据被用来量化未感染和感染阳性疫苗接种者在抗体量级和抗体持续时间上的差异。我们发现,先前的感染会导致更持久的血清 IgG 和血清 IgA 反应,先前有症状的感染会导致最持久的血清 IgG 反应,而先前无症状的感染会导致最持久的血清 IgA 反应。这些发现可为疫苗强化计划提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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