Kinetics of the Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Response and Serological Estimation of Time Since Infection.
Kinetics of the Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Response and Serological Estimation of Time Since Infection.
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DOI：
10.1093/infdis/jiab375
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发表时间：
2021-11-16
期刊：
影响因子：
--
通讯作者：
White M
中科院分区：
文献类型：
--
作者：
Pelleau S;Woudenberg T;Rosado J;Donnadieu F;Garcia L;Obadia T;Gardais S;Elgharbawy Y;Velay A;Gonzalez M;Nizou JY;Khelil N;Zannis K;Cockram C;Merkling SH;Meola A;Kerneis S;Terrier B;de Seze J;Planas D;Schwartz O;Dejardin F;Petres S;von Platen C;Pellerin SF;Arowas L;de Facci LP;Duffy D;Cheallaigh CN;Dunne J;Conlon N;Townsend L;Duong V;Auerswald H;Pinaud L;Tondeur L;Backovic M;Hoen B;Fontanet A;Mueller I;Fafi-Kremer S;Bruel T;White M
感染严重急性呼吸综合征冠状病毒2 （SARS-CoV-2）可诱导复杂的抗体反应，该反应在个体和时间之间存在数量级差异。我们开发了一种多重血清学检测方法，用于检测5种SARS-CoV-2抗原的抗体和季节性冠状病毒的刺突蛋白。我们测量了住院患者和医护人员在出现症状后随访长达11个月的抗体反应。抗体动力学的数学模型被用来量化抗体反应的持续时间。抗体反应数据用于训练估计感染时间的算法。在出现症状一年后，我们估计有36%（95%范围，11%-94%）的抗刺突免疫球蛋白G （IgG）残留，31%（95%范围，9%-89%）的抗rbd IgG残留，7%（1%-31%）的抗核衣壳IgG残留。多重检测将既往感染时间间隔分为0-3个月、3-6个月和6-12个月。该方法通过法国的血清流行病学调查数据得到验证，表明可以利用单次调查的样本重建SARS-CoV-2的历史传播。除了诊断以前的SARS-CoV-2感染外，多重血清学分析还可以估计感染后的时间，可用于重建过去的流行病。对感染严重急性呼吸综合征冠状病毒2 （SARS-CoV-2）的个体进行纵向随访，发现多种抗原抗体持续时间存在差异。抗体减弱的数学模型和统计算法可以估计一个人自SARS-CoV-2感染以来的时间，以及之前在人群中的传播波。
Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a complex antibody response that varies by orders of magnitude between individuals and over time. We developed a multiplex serological test for measuring antibodies to 5 SARS-CoV-2 antigens and the spike proteins of seasonal coronaviruses. We measured antibody responses in cohorts of hospitalized patients and healthcare workers followed for up to 11 months after symptoms. A mathematical model of antibody kinetics was used to quantify the duration of antibody responses. Antibody response data were used to train algorithms for estimating time since infection. One year after symptoms, we estimate that 36% (95% range, 11%–94%) of anti-Spike immunoglobulin G (IgG) remains, 31% (95% range, 9%–89%) anti-RBD IgG remains, and 7% (1%–31%) of anti-nucleocapsid IgG remains. The multiplex assay classified previous infections into time intervals of 0–3 months, 3–6 months, and 6–12 months. This method was validated using data from a seroprevalence survey in France, demonstrating that historical SARS-CoV-2 transmission can be reconstructed using samples from a single survey. In addition to diagnosing previous SARS-CoV-2 infection, multiplex serological assays can estimate the time since infection, which can be used to reconstruct past epidemics. Longitudinal follow-up of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveals differences in the duration of antibodies to multiple antigens. Mathematical models of antibody waning and statistical algorithms can estimate an individual’s time since SARS-CoV-2 infection, and previous transmission waves in a population.
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DOI：
10.1016/s1473-3099(20)30634-4
发表时间：
2020-12
期刊：
The Lancet. Infectious diseases
影响因子：
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作者：
National SARS-CoV-2 Serology Assay Evaluation Group
通讯作者：
National SARS-CoV-2 Serology Assay Evaluation Group
影响因子：
24.8
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影响因子：
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White, Michael T.;Griffin, Jamie T.;Ghani, Azra C.
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Ghani, Azra C.
DOI：
10.1073/pnas.1501705112
发表时间：
2015-08-11
影响因子：
11.1
作者：
Helb, Danica A.;Tetteh, Kevin K. A.;Greenhouse, Bryan
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Greenhouse, Bryan
DOI：
10.1016/s2468-2667(21)00064-5
发表时间：
2021-06
期刊：
The Lancet. Public health
影响因子：
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作者：
Hozé N;Paireau J;Lapidus N;Tran Kiem C;Salje H;Severi G;Touvier M;Zins M;de Lamballerie X;Lévy-Bruhl D;Carrat F;Cauchemez S
通讯作者：
Cauchemez S