Multiplex detection and dynamics of IgG antibodies to SARS-CoV2 and the highly pathogenic human coronaviruses SARS-CoV and MERS-CoV.
J Clin Virol
; 129: 104521, 2020 08.
Article
em En
| MEDLINE
| ID: mdl-32623350
ABSTRACT
BACKGROUND:
Knowledge of the COVID-19 epidemic extent and the level of herd immunity is urgently needed to help manage this pandemic.METHODS:
We used a panel of 167 samples (77 pre-epidemic and 90 COVID-19 seroconverters) and SARS-CoV1, SARS-CoV2 and MERS-CoV Spike and/or Nucleopcapsid (NC) proteins to develop a high throughput multiplex screening assay to detect IgG antibodies in human plasma. Assay performances were determined by ROC curves analysis. A subset of the COVID-19+ samples (n = 36) were also tested by a commercial NC-based ELISA test and the results compared with those of the novel assay.RESULTS:
On samples collected ≥14 days after symptoms onset, the accuracy of the assay is 100 % (95 % CI 100-100) for the Spike antigen and 99.9 % (95 % CI99.7-100) for NC. By logistic regression, we estimated that 50 % of the patients have seroconverted at 5.7 ± 1.6; 5.7 ± 1.8 and 7.9 ± 1.0 days after symptoms onset against Spike, NC or both antigens, respectively and all have seroconverted two weeks after symptoms onset. IgG titration in a subset of samples showed that early phase samples present lower IgG titers than those from later phase. IgG to SARS-CoV2 NC cross-reacted at 100 % with SARS-CoV1 NC. Twenty-nine of the 36 (80.5 %) samples tested were positive by the commercial ELISA while 31/36 (86.1 %) were positive by the novel assay.CONCLUSIONS:
Our assay is highly sensitive and specific for the detection of IgG antibodies to SARS-CoV2 proteins, suitable for high throughput epidemiological surveys. The novel assay is more sensitive than a commercial ELISA.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Imunoglobulina G
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Testes Sorológicos
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Coronavírus Relacionado à Síndrome Respiratória Aguda Grave
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Coronavírus da Síndrome Respiratória do Oriente Médio
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Betacoronavirus
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Anticorpos Antivirais
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article