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Cited by 278

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Antibody testing for COVID-19: A report from the National COVID Scientific Advisory Panel

Open access
Adams, Emily R., Ainsworth, Mark, Anand, Rekha, Andersson, Monique I., Auckland, Kathryn, Baillie, J. Kenneth, Barnes, Eleanor, Beer, Sally, Bell, John I., Berry, Tamsin, Bibi, Sagida, Carroll, Miles, Chinnakannan, Senthil K., Clutterbuck, Elizabeth, Cornall, Richard J., Crook, Derrick W., de Silva, Thushan, Dejnirattisai, Wanwisa, Dingle, Kate E., Dold, Christina, Espinosa, Alexis, Eyre, David W., Farmer, Helen, Fernandez Mendoza, Maria, Georgiou, Dominique, Hoosdally, Sarah J., Hunter, Alastair, Jefferey, Katie, Kelly, Dominic F., Klenerman, Paul, Knight, Julian, Knowles, Clarice, Kwok, Andrew J., Leuschner, Ullrich, Levin, Robert, Liu, Chang, López-Camacho, César, Martinez, Jose, Matthews, Philippa C., McGivern, Hannah, Mentzer, Alexander J., Milton, Jonathan, Mongkolsapaya, Juthathip, Moore, Shona C., Oliveira, Marta S., Pereira, Fiona, Perez, Elena, Peto, Timothy, Ploeg, Rutger J., Pollard, Andrew, Prince, Tessa, Roberts, David J., Rudkin, Justine K., Sanchez, Veronica, Screaton, Gavin R., Semple, Malcolm G., Slon-Campos, Jose, Skelly, Donal T., Smith, Elliot Nathan, Sobrinodiaz, Alberto, Staves, Julie, Stuart, David I., Supasa, Piyada, Surik, Tomas, Thraves, Hannah, Tsang, Pat, Turtle, Lance, Walker, A. Sarah, Wang, Beibei, Washington, Charlotte, Watkins, Nicholas, Whitehouse, James, National COVID Testing Scientific Advisory Panel·2020·Wellcome Open Research
DOI 10.12688/wellcomeopenres.15927.1

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Abstract

Background: The COVID-19 pandemic caused >1 million infections during January-March 2020. There is an urgent need for reliable antibody detection approaches to support diagnosis, vaccine development, safe release of individuals from quarantine, and population lock-down exit strategies. We set out to evaluate the performance of ELISA and lateral flow immunoassay (LFIA) devices. Methods: We tested plasma for COVID (severe acute respiratory syndrome coronavirus 2; SARS-CoV-2) IgM and IgG antibodies by ELISA and using nine different LFIA devices. We used a panel of plasma samples from individuals who have had confirmed COVID infection based on a PCR result (n=40), and pre-pandemic negative control samples banked in the UK prior to December-2019 (n=142). Results: ELISA detected IgM or IgG in 34/40 individuals with a confirmed history of COVID infection (sensitivity 85%, 95%CI 70-94%), vs. 0/50 pre-pandemic controls (specificity 100% [95%CI 93-100%]). IgG levels were detected in 31/31 COVID-positive individuals tested ≥10 days after symptom onset (sensitivity 100%, 95%CI 89-100%). IgG titres rose during the 3 weeks post symptom onset and began to fall by 8 weeks, but remained above the detection threshold. Point estimates for the sensitivity of LFIA devices ranged from 55-70% versus RT-PCR and 65-85% versus ELISA, with specificity 95-100% and 93-100% respectively. Within the limits of the study size, the performance of most LFIA devices was similar. Conclusions: Currently available commercial LFIA devices do not perform sufficiently well for individual patient applications. However, ELISA can be calibrated to be specific for detecting and quantifying SARS-CoV-2 IgM and IgG and is highly sensitive for IgG from 10 days following first symptoms.

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Research works printed but not linked: 18

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Metadata

Authors
Adams, E. R., Ainsworth, M., Anand, R., Andersson, M. I., Auckland, K., Baillie, J. K., Barnes, E., Beer, S., Bell, J. I., Berry, T., Bibi, S., Carroll, M., Chinnakannan, S. K., Clutterbuck, E., Cornall, R. J., Crook, D. W., de Silva, T., Dejnirattisai, W., Dingle, K. E., Dold, C., Espinosa, A., Eyre, D. W., Farmer, H., Fernandez Mendoza, M., Georgiou, D., Hoosdally, S. J., Hunter, A., Jefferey, K., Kelly, D. F., Klenerman, P., Knight, J., Knowles, C., Kwok, A. J., Leuschner, U., Levin, R., Liu, C., López-Camacho, C., Martinez, J., Matthews, P. C., McGivern, H., Mentzer, A. J., Milton, J., Mongkolsapaya, J., Moore, S. C., Oliveira, M. S., Pereira, F., Perez, E., Peto, T., Ploeg, R. J., Pollard, A., Prince, T., Roberts, D. J., Rudkin, J. K., Sanchez, V., Screaton, G. R., Semple, M. G., Slon-Campos, J., Skelly, D. T., Smith, E. N., Sobrinodiaz, A., Staves, J., Stuart, D. I., Supasa, P., Surik, T., Thraves, H., Tsang, P., Turtle, L., Walker, A. S., Wang, B., Washington, C., Watkins, N., Whitehouse, J., & Panel, N. C. T. S. A.
Venue
Wellcome Open Research
Publisher
F1000 Research Ltd
Published
2020-06-11
Volume
5
Pages
139
ISSN
2398-502X (ISSN-L)
DOI
10.12688/wellcomeopenres.15927.1
OpenAlex
W3034957268
Cited by
278
References
6
FWCI
7.91
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (tdm)
Funders
  • NIHR Oxford Biomedical Research Centre
  • National Institute for Health Research (CO-CIN-01, NIHR200907)
  • Public Health England
  • NIHR Health Protection Research Unit in Emerging and Zoonotic Infections
  • UK Government Department of Health and Social Care
  • National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance
  • Wellcome Trust (095541, 110110, 109965, 110058)
  • Medical Research Council (MC_PC_1905)

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CoChat. (2026). Citation check: Antibody testing for COVID-19: A report from the National COVID Scientific Advisory Panel. https://app.cochat.ai/papers/10.12688/wellcomeopenres.15927.1
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Adams, E. R., Ainsworth, M., Anand, R., Andersson, M. I., Auckland, K., Baillie, J. K., Barnes, E., Beer, S., Bell, J. I., Berry, T., Bibi, S., Carroll, M., Chinnakannan, S. K., Clutterbuck, E., Cornall, R. J., Crook, D. W., de Silva, T., Dejnirattisai, W., Dingle, K. E., . . . Panel, N. C. T. S. A. (2020). Antibody testing for COVID-19: A report from the National COVID Scientific Advisory Panel. Wellcome Open Research. https://doi.org/10.12688/wellcomeopenres.15927.1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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