SARS-CoV-2 enzyme-linked immunosorbent assays as proxies for plaque reduction neutralisation tests.
SARS-CoV-2 enzyme-linked immunosorbent assays as proxies for plaque reduction neutralisation tests.
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DOI:
10.1038/s41598-022-07263-8
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发表时间:
2022-03-01
影响因子:
4.6
通讯作者:
Adams ER
中科院分区:
文献类型:
--
作者:
Kay GA;Owen SI;Giorgi E;Clark DJ;Williams CT;Menzies S;Cuevas LE;Davies BMO;Eckersley NM;Hughes GL;Kirwan DE;Krishna S;Patterson EI;Planche T;Staines HM;Adams ER
Severe acute respiratory coronavirus 2 (SARS-CoV-2) has spread globally since its emergence in 2019. Most SARS-CoV-2 infections generate immune responses leading to rising levels of immunoglobulins (Ig) M, A and G which can be detected using diagnostic tests including enzyme-linked immunosorbent assays (ELISA). Whilst implying previous SARS-CoV-2 infection, the detection of Ig by ELISA does not guarantee the presence of neutralising antibodies (NAb) that can prevent the virus infecting cells. Plaque reduction neutralisation tests (PRNT) detect NAb, but are not amenable to mass testing as they take several days and require use of SARS-CoV-2 in high biocontainment laboratories. We evaluated the ability of IgG and IgM ELISAs targeting SARS-CoV-2 spike subunit 1 receptor binding domain (S1-RBD), and spike subunit 2 (S2) and nucleocapsid protein (NP), at predicting the presence and magnitude of NAb determined by PRNT. IgG S2 + NP ELISA was 96.8% [95% CI 83.8–99.9] sensitive and 88.9% [95% CI 51.8–99.7] specific at predicting the presence of NAbs (PRNT80 > 1:40). IgG and IgM S1-RBD ELISAs correlated with PRNT titre, with higher ELISA results increasing the likelihood of a robust neutralising response. The IgM S1-RBD assay can be used as a rapid, high throughput test to approximate the magnitude of NAb titre.
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DOI:
10.3390/v12091011
发表时间:
2020-09-10
期刊:
Viruses
影响因子:
--
作者:
Hyseni I;Molesti E;Benincasa L;Piu P;Casa E;Temperton NJ;Manenti A;Montomoli E
通讯作者:
Montomoli E
影响因子:
2.2
作者:
Mazzini L;Martinuzzi D;Hyseni I;Benincasa L;Molesti E;Casa E;Lapini G;Piu P;Trombetta CM;Marchi S;Razzano I;Manenti A;Montomoli E
通讯作者:
Montomoli E
影响因子:
82.9
作者:
Long, Quan-Xin;Liu, Bai-Zhong;Huang, Ai-Long
通讯作者:
Huang, Ai-Long
影响因子:
15.9
作者:
Wang, Yanqun;Zhang, Lu;Zhao, Jincun
通讯作者:
Zhao, Jincun
影响因子:
32.4
作者:
Ni, Ling;Ye, Fang;Dong, Chen
通讯作者:
Dong, Chen