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1000 Titel
  • Collaborative networks enable the rapid establishment of serological assays for SARS-CoV-2 during nationwide lockdown in New Zealand
1000 Autor/in
  1. McGregor​​, Reuben |
  2. Whitcombe​, Alana L. |
  3. Sheen, Campbell R. |
  4. Dickson, James M. |
  5. Day, Catherine L. |
  6. Carlton, Lauren H. |
  7. SHARMA, PRACHI |
  8. Lott, Shaun |
  9. Koch, Barbara |
  10. Bennett, Julie |
  11. Baker, Michael |
  12. Ritchie, Stephen R. |
  13. Fox-Lewis​, Shivani |
  14. Morpeth, Susan C. |
  15. Taylor, Susan L. |
  16. Roberts​, Sally A. |
  17. Webb, Rachel H. |
  18. Moreland, Nicole |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-09-03
1000 Erschienen in
1000 Quellenangabe
  • Ahead of print
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.7717/peerj.9863 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474877/ |
1000 Ergänzendes Material
  • https://peerj.com/articles/9863/#supplementary-material |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Serological assays that detect antibodies to SARS-CoV-2 are critical for determining past infection and investigating immune responses in the COVID-19 pandemic. We established ELISA-based immunoassays using locally produced antigens when New Zealand went into a nationwide lockdown and the supply chain of diagnostic reagents was a widely held domestic concern. The relationship between serum antibody binding measured by ELISA and neutralising capacity was investigated using a surrogate viral neutralisation test (sVNT). METHODS: A pre-pandemic sera panel (n = 113), including respiratory infections with symptom overlap with COVID-19, was used to establish assay specificity. Sera from PCR‑confirmed SARS-CoV-2 patients (n = 21), and PCR-negative patients with respiratory symptoms suggestive of COVID-19 (n = 82) that presented to the two largest hospitals in Auckland during the lockdown period were included. A two-step IgG ELISA based on the receptor binding domain (RBD) and spike protein was adapted to determine seropositivity, and neutralising antibodies that block the RBD/hACE‑2 interaction were quantified by sVNT. RESULTS: The calculated cut-off (>0.2) in the two-step ELISA maximised specificity by classifying all pre-pandemic samples as negative. Sera from all PCR-confirmed COVID-19 patients were classified as seropositive by ELISA ≥7 days after symptom onset. There was 100% concordance between the two-step ELISA and the sVNT with all 7+ day sera from PCR‑confirmed COVID-19 patients also classified as positive with respect to neutralising antibodies. Of the symptomatic PCR-negative cohort, one individual with notable travel history was classified as positive by two-step ELISA and sVNT, demonstrating the value of serology in detecting prior infection. CONCLUSIONS: These serological assays were established and assessed at a time when human activity was severely restricted in New Zealand. This was achieved by generous sharing of reagents and technical expertise by the international scientific community, and highly collaborative efforts of scientists and clinicians across the country. The assays have immediate utility in supporting clinical diagnostics, understanding transmission in high-risk cohorts and underpinning longer‑term ‘exit’ strategies based on effective vaccines and therapeutics.
1000 Sacherschließung
lokal Serology
gnd 1206347392 COVID-19
lokal Neutralising antibodies
lokal SARS-CoV-2
lokal Spike protein
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TWNHcmVnb3LigIvigIssIFJldWJlbg==|https://frl.publisso.de/adhoc/uri/V2hpdGNvbWJl4oCLLCBBbGFuYSBMLg==|https://frl.publisso.de/adhoc/uri/U2hlZW4sIENhbXBiZWxsIFIu|https://frl.publisso.de/adhoc/uri/RGlja3NvbiwgSmFtZXMgTS4=|https://frl.publisso.de/adhoc/uri/RGF5LCBDYXRoZXJpbmUgTC4=|https://frl.publisso.de/adhoc/uri/Q2FybHRvbiwgTGF1cmVuIEguIA==|https://orcid.org/0000-0002-6932-8472|https://orcid.org/0000-0003-3660-452X|https://frl.publisso.de/adhoc/uri/S29jaCwgQmFyYmFyYSA=|https://frl.publisso.de/adhoc/uri/QmVubmV0dCwgSnVsaWUg|https://orcid.org/0000-0002-1865-1536|https://frl.publisso.de/adhoc/uri/Uml0Y2hpZSwgU3RlcGhlbiBSLiA=|https://frl.publisso.de/adhoc/uri/Rm94LUxld2lz4oCLLCBTaGl2YW5pIA==|https://frl.publisso.de/adhoc/uri/TW9ycGV0aCwgU3VzYW4gQy4g|https://frl.publisso.de/adhoc/uri/VGF5bG9yLCBTdXNhbiBMLiA=|https://frl.publisso.de/adhoc/uri/Um9iZXJ0c_KAiywgU2FsbHkgQS4g|https://frl.publisso.de/adhoc/uri/V2ViYiwgUmFjaGVsIEguIA==|https://orcid.org/0000-0001-6548-637X
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. University of Auckland |
  2. Ministry of Business, Innovation and Employment |
  3. Callaghan Innovation |
1000 Fördernummer
  1. -
  2. -
  3. -
1000 Förderprogramm
  1. -
  2. COVID-19 Innovation Acceleration Fund
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer University of Auckland |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Ministry of Business, Innovation and Employment |
    1000 Förderprogramm COVID-19 Innovation Acceleration Fund
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Callaghan Innovation |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6428293.rdf
1000 Erstellt am 2021-06-22T17:32:10.765+0200
1000 Erstellt von 218
1000 beschreibt frl:6428293
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2021-11-09T08:55:13.694+0100
1000 Objekt bearb. Tue Nov 09 08:54:50 CET 2021
1000 Vgl. frl:6428293
1000 Oai Id
  1. oai:frl.publisso.de:frl:6428293 |
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1000 Sichtbarkeit Daten public
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