基于流式细胞术的测定法,用于测量针对 SARS-CoV-2 病毒的中和抗体

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Veridiane M. Pscheidt, Priscila Oliveira de Souza, Tiago Fazolo, José Luiz Proença Modena, Camila Simeoni, Daniel Teixeira, Natália Brunetti Silva, Karina Bispo dos Santos, Luiz Rodrigues Júnior, Cristina Bonorino
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引用次数: 0

摘要

由 SARS-CoV-2 病毒引起的 COVID-19 大流行凸显了对血清学检测的需求,这种检测可以准确评估感染期间产生的或由疫苗诱导的抗体的中和效率。然而,传统的检测方法往往需要在三级生物安全(BSL3)设施中操作活病毒,这给实际操作和安全带来了挑战。在这里,我们提出了一种新颖的替代检测方法,利用流式细胞术测量血浆中针对 SARS-CoV-2 的中和抗体(NAbs)。这种检测方法基于抗体与 S 蛋白的结合,在稀释度为 1:50 的情况下,检测内部和检测之间的测量都表现出了精确性。使用接收者操作特征(ROC)分析确定了临界值,该值为 36.01%,在区分流行前血清、COVID-19 患者和疫苗接种者方面显示出较高的灵敏度和特异性。其效率与金标准检测 PRNT 有明显的相关性。我们的新检测方法为评估针对 SARS-CoV-2 的 NAbs 提供了一种安全、高效的传统检测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A flow cytometry-based assay to measure neutralizing antibodies against SARS-CoV-2 virus

The COVID-19 pandemic caused by the SARS-CoV-2 virus has highlighted the need for serological assays that can accurately evaluate the neutralizing efficiency of antibodies produced during infection or induced by vaccines. However, conventional assays often require the manipulation of live viruses on a level-three biosafety (BSL3) facility, which presents practical and safety challenges. Here, we present a novel, alternative assay that measures neutralizing antibodies (NAbs) against SARS-CoV-2 in plasma using flow cytometry. This assay is based on antibody binding to the S protein and has demonstrated precision in both intra- and inter-assay measurements at a dilution of 1:50. The cut-off was determined using Receiver Operating Characteristic (ROC) analysis and the value of 36.01% has shown high sensitivity and specificity in distinguishing between pre-pandemic sera, COVID-19 patients, and vaccinated individuals. The efficiency significantly correlates with the gold standard test, PRNT. Our new assay offers a safe and efficient alternative to conventional assays for evaluating NAbs against SARS-CoV-2.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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