Serology assays against spike, receptor binding domain (RBD) and nucleocapsid proteins of the severe acute respiratory syndrome coronavirus 2 are essential for serosurveillance. We performed a comparison of four medium-to-high throughput commercial assays [Abbott Laboratories, Ortho Clinical Diagnostics, Meso Scale Diagnostics (MSD)], one point-of-care test (ZEKMED) and a laboratory-developed plaque reduction neutralization test using a reference panel and clinical specimens. Overall, the assays showed a high positive percent agreement of â¥85%âand negative percent agreement of â¥90%, with the MSD anti-spike IgG assay having the best performance (100% in both). Notably, Abbott anti-nucleocapsid IgG, MSD anti-spike IgG and ZEKMED anti-spike RBD IgM/IgG combined assays were able to detect antibodies from individuals infected with all different variants tested - Alpha, Beta, Gamma, Delta and Omicron. The limit of detection (LOD) of the assays ranged from 9.9 to 62.0 BAU ml(-1), with the Abbott anti-spike RBD having the lowest LOD. The COVID-19 serology assays will continue to be useful in determining seroprevalence from infection and vaccination.
Comparison of six COVID-19 serology assays for detection of antibodies from patients infected with ancestral and a spectrum of SARS-CoV-2 variants.
比较六种 COVID-19 血清学检测方法,用于检测感染原始 SARS-CoV-2 病毒株和一系列 SARS-CoV-2 变种病毒株的患者体内的抗体
阅读:10
作者:Lau Rachel, Senthilkumaran Chandrika, Chong Jeffrey, Qi Freda, Pulikkottil Rosmol-Stanes, Ma Jennifer, Ogbulafor Katherene, Gabe Larry, Manguiat Kathy, Robinson Alyssia, Wood Heidi, Li Angel Xinliu, Mozafarihashjin Mohammad, Campigotto Aaron, McGeer Allison J, Mubareka Samira, Gubbay Jonathan B, Kus Julianne V, Bolotin Shelly, Richard-Greenblatt Melissa, Tran Vanessa
| 期刊: | Access Microbiology | 影响因子: | 0.000 |
| 时间: | 2025 | 起止号: | 2025 Jul 7; 7(7):000974 |
| doi: | 10.1099/acmi.0.000974.v3 | 研究方向: | 免疫/内分泌 |
| 疾病类型: | 新冠 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
