Comparative analysis of eleven SARS-CoV-2 immunoassays and neutralisation data: time to enhance standardisation and correlation of protection.

Infectious diseases (London, England) Pub Date : 2024-12-01 Epub Date: 2024-07-24 DOI:10.1080/23744235.2024.2382263
Jorge-Julio Cabrera-Alvargonzalez, Carlos Davina-Nunez, Sonia Rey-Cao, Leticia Rodriguez Calviño, Sergio Silva-Bea, Elena Gonzalez-Alonso, Raquel Carballo-Fernandez, Carmen Lameiro Vilariño, Sandra Cortizo-Vidal, Pilar Valiño-Prieto, Miriam Rodriguez-Perez, Sonia Pérez Castro, Isabel López Miragaya, Arturo Fernández-Nogueira, Victor Del Campo-Perez, Benito Regueiro-Garcia
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Abstract

Background: To infer a reliable SARS-CoV-2 antibody protection level from a serological test, an appropriate quantitative threshold and solid equivalence across serological tests are needed. Additionally, tests should show a solid correlation with neutralising assays and with the protection observed in large population cohorts even against emerging variants.

Objectives: We studied convalescent and vaccinated populations using 11 commercial antibody assays. Results were compared to evaluate discrepancies across tests. Neutralisation capacity was measured in a subset of the samples with a lentiviral-based assay.

Methods: Serum from convalescent (n = 121) and vaccinated individuals (n = 471, 260 with Comirnaty, 110 with Spikevax, and 96 with Vaxzevria) was assessed using 11 different assays, including two from Abbott, Euroimmun, Liaison, Roche, and Vircell, and one from Siemens. A spike protein-lentiviral vector with a fluorescent reporter was used for neutralisation assay of serum from convalescent (n = 26) and vaccinated (n = 39) individuals.

Results: Positivity ranged between 81.3 and 94.3% after infection and 99.4 and 99.7% after vaccination, depending on the assay. Both cohorts showed a high level of qualitative agreement across tests (Fleiss' kappa = 0.598 and 0.719 for convalescent and vaccinated respectively). Spikevax vaccine recipients showed the highest level of antibodies in all tests. Effectiveness of each test predicting SARS-CoV-2 neutralising capacity depended on assay type and target, with CLIA and anti-S being more effective than ELISA and anti-N assays, respectively.

Conclusions: High-throughput immunoassays are good predictors of neutralising capacity. Updated targets and better standardisation would be required to find an effective correlate of protection, especially to account for antibodies against new variants.

十一种 SARS-CoV-2 免疫测定和中和数据的比较分析:加强标准化和保护相关性的时机已到。
背景:要从血清学检测中推断出可靠的 SARS-CoV-2 抗体保护水平,需要一个适当的定量阈值以及血清学检测之间牢固的等效性。此外,检测结果还应与中和检测方法以及在大样本人群中观察到的保护水平(即使是针对新出现的变异株)有很好的相关性:我们使用 11 种商业抗体检测方法对康复人群和接种疫苗的人群进行了研究。目的:我们使用 11 种商业抗体检测方法对康复人群和疫苗接种人群进行了研究,并对结果进行了比较,以评估不同检测方法之间的差异。使用基于慢病毒的检测方法测量了部分样本的中和能力:使用 11 种不同的检测方法评估了来自康复者(n = 121)和接种者(n = 471,其中 260 人接种了 Comirnaty,110 人接种了 Spikevax,96 人接种了 Vaxzevria)的血清,包括雅培、Euroimmun、Liaison、罗氏和 Vircell 的两种检测方法以及西门子的一种检测方法。使用带有荧光报告器的尖峰蛋白慢病毒载体对康复者(26 人)和接种者(39 人)的血清进行中和检测:根据检测方法的不同,感染后阳性率在 81.3% 和 94.3% 之间,接种疫苗后阳性率在 99.4% 和 99.7% 之间。两组受试者在各检测项目上的定性一致性都很高(康复者和接种者的弗莱斯卡帕分别为 0.598 和 0.719)。在所有测试中,接种 Spikevax 疫苗者的抗体水平最高。每种检测方法预测 SARS-CoV-2 中和能力的有效性取决于检测类型和目标,CLIA 和抗 S 检测方法的有效性分别高于 ELISA 和抗 N 检测方法:结论:高通量免疫测定能很好地预测中和能力。结论:高通量免疫测定可以很好地预测中和能力,但要找到有效的保护相关指标,尤其是考虑到针对新变体的抗体,还需要更新目标和更好的标准化。
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