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15个实验室对新型冠状病毒抗原性的全球合作比较

A Global Collaborative Comparison of SARS-CoV-2 Antigenicity Across 15 Laboratories.

作者信息

Brangel Polina, Tureli Sina, Mühlemann Barbara, Liechti Nicole, Zysset Daniel, Engler Olivier, Hunger-Glaser Isabel, Ghiga Ioana, Mattiuzzo Giada, Eckerle Isabella, Bekliz Meriem, Rössler Annika, Schmitt Melanie M, Knabl Ludwig, Kimpel Janine, Tort Luis Fernando Lopez, de Araujo Mia Ferreira, de Oliveira Any Caroline Alves, Caetano Braulia Costa, Siqueira Marilda Mendonça, Budt Matthias, Gensch Jean-Marc, Wolff Thorsten, Hassan Tarteel, Selvaraj Francis Amirtharaj, Hermanus Tandile, Kgagudi Prudence, Crowther Carol, Richardson Simone I, Bhiman Jinal N, Moore Penny L, Cheng Samuel M S, Li John K C, Poon Leo L M, Peiris Malik, Corman Victor M, Drosten Christian, Lai Lilin, Hunsawong Taweewun, Rungrojcharoenkit Kamonthip, Lohachanakul Jindarat, Sigal Alex, Khan Khadija, Thiel Volker, Barut G Tuba, Ebert Nadine, Mykytyn Anna Z, Owusu Donkor Irene, Aboagye James Odame, Nartey Prince Adom, Van Kerkhove Maria D, Cunningham Jane, Haagmans Bart L, Suthar Mehul S, Smith Derek, Subissi Lorenzo

机构信息

World Health Organization, 1202 Geneva, Switzerland.

Centre for Pathogen Evolution, University of Cambridge, Cambridge CB3 0FD, UK.

出版信息

Viruses. 2024 Dec 18;16(12):1936. doi: 10.3390/v16121936.

Abstract

Setting up a global SARS-CoV-2 surveillance system requires an understanding of how virus isolation and propagation practices, use of animal or human sera, and different neutralisation assay platforms influence assessment of SARS-CoV-2 antigenicity. In this study, with the contribution of 15 independent laboratories across all WHO regions, we carried out a controlled analysis of neutralisation assay platforms using the first WHO International Standard for antibodies to SARS-CoV-2 variants of concern (source: NIBSC). Live virus isolates (source: WHO BioHub or individual labs) or spike plasmids (individual labs) for pseudovirus production were used to perform neutralisation assays using the same serum panels. When comparing fold drops, excellent data consistency was observed across the labs using common reagents, including between pseudovirus and live virus neutralisation assays (RMSD of data from mean fold drop was 0.59). Utilising a Bayesian model, geometric mean titres and assay titre magnitudes (offsets) can describe the data efficiently. Titre magnitudes were seen to vary largely even for labs within the same assay group. We have observed that overall, live Microneutralisation assays tend to have the lowest titres, whereas Pseudovirus Neutralisation have the highest (with a mean difference of 3.2 log2 units between the two). These findings are relevant for laboratory networks, such as the WHO Coronavirus Laboratory Network (CoViNet), that seek to support a global surveillance system for evolution and antigenic characterisation of variants to support monitoring of population immunity and vaccine composition policy.

摘要

建立一个全球严重急性呼吸综合征冠状病毒2(SARS-CoV-2)监测系统需要了解病毒分离和传播方法、动物或人类血清的使用以及不同的中和试验平台如何影响对SARS-CoV-2抗原性的评估。在本研究中,在世卫组织所有区域15个独立实验室的协助下,我们使用首个世卫组织针对关注的SARS-CoV-2变异株抗体国际标准品(来源:NIBSC),对中和试验平台进行了对照分析。使用相同的血清样本,采用活病毒分离株(来源:世卫组织生物样本库或各个实验室)或用于假病毒生产的刺突质粒(各个实验室)进行中和试验。在比较倍数下降时,使用通用试剂的各个实验室之间观察到了出色的数据一致性,包括假病毒中和试验和活病毒中和试验之间(平均倍数下降数据的均方根偏差为0.59)。利用贝叶斯模型,几何平均滴度和试验滴度幅度(偏移量)可以有效地描述数据。即使在同一试验组内的实验室,滴度幅度也有很大差异。我们观察到,总体而言,活病毒微量中和试验的滴度往往最低,而假病毒中和试验的滴度最高(两者之间的平均差异为3.2个log2单位)。这些发现对于诸如世卫组织冠状病毒实验室网络(CoViNet)等实验室网络具有重要意义,这些网络旨在支持一个全球监测系统,用于监测变异株的进化和抗原特征,以支持对人群免疫力和疫苗成分政策的监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac28/11680265/5efe8496b0d7/viruses-16-01936-g001.jpg

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