Exposure factors associated with SARS-CoV-2 seropositivity are not predictive for higher humoral immune responses: A cross-sectional cohort study in the general population

IF 1.6 Q4 INFECTIOUS DISEASES
D.A.T. Hanssen , D.M.E. Pagen , J. Penders , S. Brinkhues , N.H.T.M. Dukers-Muijrers , C.J.P.A. Hoebe , P.H.M. Savelkoul , I.H.M. van Loo
{"title":"Exposure factors associated with SARS-CoV-2 seropositivity are not predictive for higher humoral immune responses: A cross-sectional cohort study in the general population","authors":"D.A.T. Hanssen ,&nbsp;D.M.E. Pagen ,&nbsp;J. Penders ,&nbsp;S. Brinkhues ,&nbsp;N.H.T.M. Dukers-Muijrers ,&nbsp;C.J.P.A. Hoebe ,&nbsp;P.H.M. Savelkoul ,&nbsp;I.H.M. van Loo","doi":"10.1016/j.jcvp.2023.100164","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Higher antibody levels, in particular antibodies directed against the receptor-binding domain (RBD) of the spike protein, protect against re-infection with SARS-CoV-2. Quantitative antibody response data provide insight into population immunity and are essential for decision-making on booster-vaccination strategies. We aimed to identify predictors for higher antibody responses such as gender, age, experienced COVID-19-compatible symptoms, disease severity and exposure to pre-determined risk factors associated with SARS-CoV-2 seropositivity.</p></div><div><h3>Materials and methods</h3><p>Quantitative anti-S-RBD responses were analysed in seropositive vaccine-naive individuals (<em>n</em> = 1,857) from a study population of 10,001 adults, including healthcare workers (<em>n</em> = 211) and individuals with a known date of a positive PCR (<em>n</em> = 214). Regression models tested associations between age, gender, the period of symptoms, disease severity, pre-identified exposure factors associated with SARS-CoV-2 seropositivity, and anti-S-RBD responses.</p></div><div><h3>Results</h3><p>Symptoms of more severe disease (fever and/or dyspnoea: OR 2.42 [95%CI 1.76–3.34], and hospital admission: OR 11.41 [95%CI 4.66–27.97]), and a longer interval between COVID-19-compatible symptoms and serum collection (OR 3.17 [95%CI 1.32–7.63]) were predictive for anti-S-RBD levels ≥300 U/mL. Working in healthcare was inversely associated with anti-S-RBD levels ≥300 U/mL (OR 0.51 [95%CI 0.31–0.82]). None of the pre-identified exposure factors associated with SARS-CoV-2 seropositivity could be identified as predictive of higher anti-S-RBD responses.</p></div><div><h3>Conclusion</h3><p>No exposure factors were identified as predictors of higher neutralising antibody responses. Nevertheless, higher neutralising antibody levels in individuals with more severe symptoms suggest better immunological protection against SARS-CoV-2 re-infection. In seroprevalence studies, that mainly include asymptomatic or mildly infected individuals, the determination of quantitative antibody responses may help in the interpretation of population immunity.</p></div>","PeriodicalId":73673,"journal":{"name":"Journal of clinical virology plus","volume":"3 4","pages":"Article 100164"},"PeriodicalIF":1.6000,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of clinical virology plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667038023000315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction

Higher antibody levels, in particular antibodies directed against the receptor-binding domain (RBD) of the spike protein, protect against re-infection with SARS-CoV-2. Quantitative antibody response data provide insight into population immunity and are essential for decision-making on booster-vaccination strategies. We aimed to identify predictors for higher antibody responses such as gender, age, experienced COVID-19-compatible symptoms, disease severity and exposure to pre-determined risk factors associated with SARS-CoV-2 seropositivity.

Materials and methods

Quantitative anti-S-RBD responses were analysed in seropositive vaccine-naive individuals (n = 1,857) from a study population of 10,001 adults, including healthcare workers (n = 211) and individuals with a known date of a positive PCR (n = 214). Regression models tested associations between age, gender, the period of symptoms, disease severity, pre-identified exposure factors associated with SARS-CoV-2 seropositivity, and anti-S-RBD responses.

Results

Symptoms of more severe disease (fever and/or dyspnoea: OR 2.42 [95%CI 1.76–3.34], and hospital admission: OR 11.41 [95%CI 4.66–27.97]), and a longer interval between COVID-19-compatible symptoms and serum collection (OR 3.17 [95%CI 1.32–7.63]) were predictive for anti-S-RBD levels ≥300 U/mL. Working in healthcare was inversely associated with anti-S-RBD levels ≥300 U/mL (OR 0.51 [95%CI 0.31–0.82]). None of the pre-identified exposure factors associated with SARS-CoV-2 seropositivity could be identified as predictive of higher anti-S-RBD responses.

Conclusion

No exposure factors were identified as predictors of higher neutralising antibody responses. Nevertheless, higher neutralising antibody levels in individuals with more severe symptoms suggest better immunological protection against SARS-CoV-2 re-infection. In seroprevalence studies, that mainly include asymptomatic or mildly infected individuals, the determination of quantitative antibody responses may help in the interpretation of population immunity.

与SARS-CoV-2血清阳性相关的暴露因素不能预测更高的体液免疫反应:一项针对普通人群的横断面队列研究
引言更高的抗体水平,特别是针对刺突蛋白受体结合域(RBD)的抗体,可以防止严重急性呼吸系统综合征冠状病毒2型的再次感染。定量抗体反应数据提供了对群体免疫的深入了解,对加强针接种策略的决策至关重要。我们旨在确定更高抗体反应的预测因素,如性别、年龄、经历的COVID-19兼容症状、疾病严重程度以及接触与SARS-CoV-2血清阳性相关的预先确定的风险因素。材料和方法从10001名成年人的研究人群中分析了血清阳性疫苗初始个体(n=1857)的定量抗S-RBD反应,包括医护人员(n=211)和已知PCR阳性日期的个体(n=214)。回归模型测试了年龄、性别、症状时期、疾病严重程度、与严重急性呼吸系统综合征冠状病毒2型血清阳性相关的预先确定的暴露因素和抗S-RBD反应之间的相关性。结果更严重疾病的症状(发烧和/或呼吸困难:or 2.42[95%CI 1.76–3.34],入院:or 11.41[95%CI 4.66–27.97]),以及COVID-19相容性症状与血清采集之间的较长间隔(or 3.17[95%CI 1.32–7.63])可预测抗S-RBD水平≥300 U/mL。在医疗保健部门工作与抗S-RBD水平≥300 U/mL呈负相关(OR 0.51[95%CI 0.31–0.82])。与严重急性呼吸系统综合征冠状病毒2型血清阳性相关的预先确定的暴露因素都不能预测更高的抗S-RBD反应。结论没有暴露因素被确定为较高中和抗体反应的预测因素。然而,症状更严重的人的中和抗体水平更高,表明对严重急性呼吸系统综合征冠状病毒2型再次感染有更好的免疫保护作用。在血清流行率研究中,主要包括无症状或轻度感染者,确定定量抗体反应可能有助于解释群体免疫。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of clinical virology plus
Journal of clinical virology plus Infectious Diseases
CiteScore
2.20
自引率
0.00%
发文量
0
审稿时长
66 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信