Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Nat Med. 2021 Jul;27(7):1205-1211. doi: 10.1038/s41591-021-01377-8. Epub 2021 May 17.
Predictive models of immune protection from COVID-19 are urgently needed to identify correlates of protection to assist in the future deployment of vaccines. To address this, we analyzed the relationship between in vitro neutralization levels and the observed protection from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using data from seven current vaccines and from convalescent cohorts. We estimated the neutralization level for 50% protection against detectable SARS-CoV-2 infection to be 20.2% of the mean convalescent level (95% confidence interval (CI) = 14.4-28.4%). The estimated neutralization level required for 50% protection from severe infection was significantly lower (3% of the mean convalescent level; 95% CI = 0.7-13%, P = 0.0004). Modeling of the decay of the neutralization titer over the first 250 d after immunization predicts that a significant loss in protection from SARS-CoV-2 infection will occur, although protection from severe disease should be largely retained. Neutralization titers against some SARS-CoV-2 variants of concern are reduced compared with the vaccine strain, and our model predicts the relationship between neutralization and efficacy against viral variants. Here, we show that neutralization level is highly predictive of immune protection, and provide an evidence-based model of SARS-CoV-2 immune protection that will assist in developing vaccine strategies to control the future trajectory of the pandemic.
我们分析了来自七种当前疫苗和康复队列的数据,以确定体外中和水平与严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 感染观察到的保护之间的关系,以建立预测 COVID-19 免疫保护的模型,从而确定保护相关因素,以协助未来疫苗的部署。我们估计,对可检测 SARS-CoV-2 感染的 50%保护的中和水平为恢复期平均水平的 20.2%(95%置信区间 [CI] = 14.4-28.4%)。严重感染 50%保护所需的中和水平明显较低(恢复期平均水平的 3%;95%CI = 0.7-13%,P = 0.0004)。对免疫后 250 天内中和效价衰减的建模预测,尽管应能基本保留对严重疾病的保护,但将发生 SARS-CoV-2 感染保护的显著丧失。与疫苗株相比,针对一些关注的 SARS-CoV-2 变体的中和滴度降低,我们的模型预测了中和与针对病毒变体的疗效之间的关系。在这里,我们表明中和水平高度预测免疫保护,并提供 SARS-CoV-2 免疫保护的循证模型,这将有助于制定疫苗策略来控制未来大流行的轨迹。