Suppr超能文献

理解接种 SARS-CoV-2 疫苗后抗体的数量和持久性。

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

机构信息

Department of Mathematics, Virginia Polytechnic Institute and State University, 225 Stanger Street, Blacksburg, 24060, VA, USA; Virginia Tech Center for the Mathematics of Biosystems, Virginia Tech, Blacksburg, VA, USA.

Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.

出版信息

Math Biosci. 2024 Oct;376:109274. doi: 10.1016/j.mbs.2024.109274. Epub 2024 Aug 30.

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.

摘要

接种严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)疫苗会导致针对刺突蛋白的短暂抗体反应。接种疫苗时的个体免疫状态会影响反应。我们使用抗体衰减的数学模型来确定血清免疫球蛋白 G(IgG)和血清免疫球蛋白 A(IgA)随时间的变化。对纵向 IgG 和 IgA 滴度进行数据拟合,以量化感染前和感染后疫苗接种者之间抗体幅度和抗体持续时间的差异。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,其中有症状感染会导致最持久的血清 IgG 反应,无症状感染会导致最持久的血清 IgA 反应。这些发现可以指导疫苗加强免疫计划。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验