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模拟多次接种 Bnt162b2 后针对 SARS-CoV-2 变体的中和抗体反应动力学。

Modeling the kinetics of the neutralizing antibody response against SARS-CoV-2 variants after several administrations of Bnt162b2.

机构信息

Université de Bordeaux, Inria Bordeaux Sud-Ouest, Bordeaux, France.

Inserm, Bordeaux Population Health Research Center, SISTM Team, UMR1219, Bordeaux, France.

出版信息

PLoS Comput Biol. 2023 Aug 7;19(8):e1011282. doi: 10.1371/journal.pcbi.1011282. eCollection 2023 Aug.

DOI:10.1371/journal.pcbi.1011282
PMID:37549192
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10434962/
Abstract

Because SARS-CoV-2 constantly mutates to escape from the immune response, there is a reduction of neutralizing capacity of antibodies initially targeting the historical strain against emerging Variants of Concern (VoC)s. That is why the measure of the protection conferred by vaccination cannot solely rely on the antibody levels, but also requires to measure their neutralization capacity. Here we used a mathematical model to follow the humoral response in 26 individuals that received up to three vaccination doses of Bnt162b2 vaccine, and for whom both anti-S IgG and neutralization capacity was measured longitudinally against all main VoCs. Our model could identify two independent mechanisms that led to a marked increase in measured humoral response over the successive vaccination doses. In addition to the already known increase in IgG levels after each dose, we identified that the neutralization capacity was significantly increased after the third vaccine administration against all VoCs, despite large inter-individual variability. Consequently, the model projects that the mean duration of detectable neutralizing capacity against non-Omicron VoC is between 348 days (Beta variant, 95% Prediction Intervals PI [307; 389]) and 587 days (Alpha variant, 95% PI [537; 636]). Despite the low neutralization levels after three doses, the mean duration of detectable neutralizing capacity against Omicron variants varies between 173 days (BA.5 variant, 95% PI [142; 200]) and 256 days (BA.1 variant, 95% PI [227; 286]). Our model shows the benefit of incorporating the neutralization capacity in the follow-up of patients to better inform on their level of protection against the different SARS-CoV-2 variants. Trial registration: This clinical trial is registered with ClinicalTrials.gov, Trial IDs NCT04750720 and NCT05315583.

摘要

由于 SARS-CoV-2 不断突变以逃避免疫反应,最初针对历史株的中和抗体对新兴关注变种(VOC)的中和能力降低。这就是为什么衡量疫苗接种所提供的保护不能仅仅依赖于抗体水平,还需要测量其中和能力。在这里,我们使用数学模型来跟踪 26 名接受了三剂 Bnt162b2 疫苗接种的个体的体液反应,并且对所有主要 VOC,我们纵向测量了他们的抗-S IgG 和中和能力。我们的模型可以识别出两种独立的机制,这些机制导致连续接种疫苗后测量的体液反应显著增加。除了每次剂量后 IgG 水平已经知道的增加外,我们还发现,尽管个体间存在很大差异,但在第三次疫苗接种后,所有 VOC 的中和能力都显著增加。因此,该模型预测,非奥密克戎 VOC 中和能力可检测持续时间的平均值在 348 天(Beta 变体,95%预测区间[307; 389])和 587 天(Alpha 变体,95%预测区间[537; 636])之间。尽管三剂后中和水平较低,但 Omicron 变体中和能力可检测持续时间的平均值在 173 天(BA.5 变体,95%预测区间[142; 200])和 256 天(BA.1 变体,95%预测区间[227; 286])之间变化。我们的模型表明,在患者随访中纳入中和能力的好处是可以更好地了解他们对不同 SARS-CoV-2 变体的保护水平。试验注册:该临床试验在 ClinicalTrials.gov 上注册,试验 ID 为 NCT04750720 和 NCT05315583。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/3e53d56dc1db/pcbi.1011282.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/7110d0304f33/pcbi.1011282.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/3f37da1b363e/pcbi.1011282.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/06b92b9ac652/pcbi.1011282.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/8b2afffa51d9/pcbi.1011282.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/3e53d56dc1db/pcbi.1011282.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/7110d0304f33/pcbi.1011282.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/3f37da1b363e/pcbi.1011282.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/06b92b9ac652/pcbi.1011282.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/8b2afffa51d9/pcbi.1011282.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9698/10434962/3e53d56dc1db/pcbi.1011282.g005.jpg

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