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与 COVID19 患者生存相关的早期抗体反应。

Early antibody responses associated with survival in COVID19 patients.

机构信息

Office of Biotechnology Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration; Silver Spring, Maryland, United States of America.

Office of Biostatistics, Office of Translational Science, Center for Drug Evaluation and Research, Food and Drug Administration; Silver Spring, Maryland, United States of America.

出版信息

PLoS Pathog. 2021 Jul 19;17(7):e1009766. doi: 10.1371/journal.ppat.1009766. eCollection 2021 Jul.

DOI:10.1371/journal.ppat.1009766
PMID:34280244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8321400/
Abstract

Neutralizing antibodies to the SARS CoV-2 spike proteins have been issued Emergency Use Authorizations and are a likely mechanism of vaccines to prevent COVID-19. However, benefit of treatment with monoclonal antibodies has only been observed in clinical trials in outpatients with mild to moderate COVID-19 but not in patients who are hospitalized and/or have advanced disease. To address this observation, we evaluated the timing of anti SARS-CoV-2 antibody production in hospitalized patients with the use of a highly sensitive multiplexed bead-based immunoassay allowing for early detection of antibodies to SARS-CoV-2. We found significantly lower levels of antibodies to the SARS-CoV-2 spike protein in the first week after symptom onset in patients who expired as compared to patients who were discharged. We also developed a model to characterize the relationship between each patient's individual antibody level trajectory and eventual COVID 19 outcome which can be adapted into a prediction model with more data.

摘要

针对严重急性呼吸系统综合征冠状病毒 2 刺突蛋白的中和抗体已获得紧急使用授权,并且可能是预防 COVID-19 的疫苗的作用机制。然而,仅在患有轻度至中度 COVID-19 的门诊患者的临床试验中观察到了使用单克隆抗体进行治疗的益处,而在住院和/或患有晚期疾病的患者中则未观察到。为了解决这一观察结果,我们使用高度敏感的基于珠的多重免疫分析评估了住院患者中针对 SARS-CoV-2 的抗体产生的时间,该分析可早期检测到针对 SARS-CoV-2 的抗体。我们发现,与出院的患者相比,症状发作后第一周的 SARS-CoV-2 刺突蛋白抗体水平明显较低。我们还开发了一种模型,以描述每个患者的个体抗体水平轨迹与最终 COVID-19 结局之间的关系,该模型可以随着更多数据而适应到预测模型中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1577/8321400/77ba098dd757/ppat.1009766.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1577/8321400/713187ce7f3e/ppat.1009766.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1577/8321400/140d3037ad86/ppat.1009766.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1577/8321400/77ba098dd757/ppat.1009766.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1577/8321400/713187ce7f3e/ppat.1009766.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1577/8321400/140d3037ad86/ppat.1009766.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1577/8321400/77ba098dd757/ppat.1009766.g003.jpg

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