Robust correlations across six SARS‐CoV‐2 serology assays detecting distinct antibody features

  1. Rowntree, Louise ORCID logo
  2. Chua, Brendon ORCID logo
  3. Nicholson, Suellen
  4. Koutsakos, Marios
  5. Hensen, Luca
  6. Douros, Celia
  7. Selva, Kevin
  8. Mordant, Francesca ORCID logo
  9. Wong, Chinn Yi
  10. Habel, Jennifer R
  11. Zhang, Wuji
  12. Jia, Xiaoxiao
  13. Allen, Lily
  14. Doolan, Denise L
  15. Jackson, David C
  16. Wheatley, Adam K
  17. Kent, Stephen J
  18. Amanat, Fatima
  19. Krammer, Florian
  20. Subbarao, Kanta
  21. Cheng, Allen C
  22. Chung, Amy ORCID logo
  23. Catton, Mike
  24. NGUYEN, THI HOANG OANH ORCID logo
  25. van de Sandt, Carolien ORCID logo
  26. Kedzierska, Katherine ORCID logo

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WeightNameValue
1000 Titel
  • Robust correlations across six SARS‐CoV‐2 serology assays detecting distinct antibody features
1000 Autor/in
  1. Rowntree, Louise |
  2. Chua, Brendon |
  3. Nicholson, Suellen |
  4. Koutsakos, Marios |
  5. Hensen, Luca |
  6. Douros, Celia |
  7. Selva, Kevin |
  8. Mordant, Francesca |
  9. Wong, Chinn Yi |
  10. Habel, Jennifer R |
  11. Zhang, Wuji |
  12. Jia, Xiaoxiao |
  13. Allen, Lily |
  14. Doolan, Denise L |
  15. Jackson, David C |
  16. Wheatley, Adam K |
  17. Kent, Stephen J |
  18. Amanat, Fatima |
  19. Krammer, Florian |
  20. Subbarao, Kanta |
  21. Cheng, Allen C |
  22. Chung, Amy |
  23. Catton, Mike |
  24. NGUYEN, THI HOANG OANH |
  25. van de Sandt, Carolien |
  26. Kedzierska, Katherine |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-28
1000 Erschienen in
1000 Quellenangabe
  • 10(3):e1258
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/cti2.1258 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916820/ |
1000 Ergänzendes Material
  • https://onlinelibrary.wiley.com/doi/10.1002/cti2.1258#support-information-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • OBJECTIVES: As the world transitions into a new era of the COVID‐19 pandemic in which vaccines become available, there is an increasing demand for rapid reliable serological testing to identify individuals with levels of immunity considered protective by infection or vaccination. METHODS: We used 34 SARS‐CoV‐2 samples to perform a rapid surrogate virus neutralisation test (sVNT), applicable to many laboratories as it circumvents the need for biosafety level‐3 containment. We correlated results from the sVNT with five additional commonly used SARS‐CoV‐2 serology techniques: the microneutralisation test (MNT), in‐house ELISAs, commercial Euroimmun‐ and Wantai‐based ELISAs (RBD, spike and nucleoprotein; IgG, IgA and IgM), antigen‐binding avidity, and high‐throughput multiplex analyses to profile isotype, subclass and Fc effector binding potential. We correlated antibody levels with antibody‐secreting cell (ASC) and circulatory T follicular helper (cTfh) cell numbers. RESULTS: Antibody data obtained with commercial ELISAs closely reflected results using in‐house ELISAs against RBD and spike. A correlation matrix across ten measured ELISA parameters revealed positive correlations for all factors. The frequency of inhibition by rapid sVNT strongly correlated with spike‐specific IgG and IgA titres detected by both commercial and in‐house ELISAs, and MNT titres. Multiplex analyses revealed strongest correlations between IgG, IgG1, FcR and C1q specific to spike and RBD. Acute cTfh‐type 1 cell numbers correlated with spike and RBD‐specific IgG antibodies measured by ELISAs and sVNT. CONCLUSION: Our comprehensive analyses provide important insights into SARS‐CoV‐2 humoral immunity across distinct serology assays and their applicability for specific research and/or diagnostic questions to assess SARS‐CoV‐2‐specific humoral responses.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal neutralisation assay
lokal SARS-CoV-2 antibodies
lokal ELISA
lokal T follicular helper cells
lokal antibody-secreting cells
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-0649-5089|https://orcid.org/0000-0001-5654-1293|https://frl.publisso.de/adhoc/uri/TmljaG9sc29uLCBTdWVsbGVu|https://frl.publisso.de/adhoc/uri/S291dHNha29zLCBNYXJpb3M=|https://frl.publisso.de/adhoc/uri/SGVuc2VuLCBMdWNh|https://frl.publisso.de/adhoc/uri/RG91cm9zLCBDZWxpYQ==|https://frl.publisso.de/adhoc/uri/U2VsdmEsIEtldmlu|https://orcid.org/0000-0002-3754-2642|https://frl.publisso.de/adhoc/uri/V29uZywgQ2hpbm4gWWk=|https://frl.publisso.de/adhoc/uri/SGFiZWwsIEplbm5pZmVyIFI=|https://frl.publisso.de/adhoc/uri/WmhhbmcsIFd1amk=|https://frl.publisso.de/adhoc/uri/SmlhLCBYaWFveGlhbw==|https://frl.publisso.de/adhoc/uri/QWxsZW4sIExpbHk=|https://frl.publisso.de/adhoc/uri/RG9vbGFuLCBEZW5pc2UgTA==|https://frl.publisso.de/adhoc/uri/SmFja3NvbiwgRGF2aWQgQw==|https://frl.publisso.de/adhoc/uri/V2hlYXRsZXksIEFkYW0gSw==|https://frl.publisso.de/adhoc/uri/S2VudCwgU3RlcGhlbiBK|https://frl.publisso.de/adhoc/uri/QW1hbmF0LCBGYXRpbWEg|https://frl.publisso.de/adhoc/uri/S3JhbW1lciwgRmxvcmlhbg==|https://frl.publisso.de/adhoc/uri/U3ViYmFyYW8sIEthbnRh|https://frl.publisso.de/adhoc/uri/Q2hlbmcsIEFsbGVuIEM=|https://orcid.org/0000-0003-0020-9704|https://frl.publisso.de/adhoc/uri/Q2F0dG9uLCBNaWtl|https://orcid.org/0000-0002-9294-7693|https://orcid.org/0000-0002-4155-7433|https://orcid.org/0000-0001-6141-335X
1000 Label
1000 Förderer
  1. National Health and Medical Research Council |
  2. Council of the Hong Kong Special Administrative Region, China |
  3. Jack Ma Foundation |
  4. Department of Health, Australian Government |
  5. a2 Milk Foundation |
  6. University of Melbourne |
  7. Horizon 2020 Framework Programme |
  8. H2020 Marie Skłodowska-Curie Actions |
  9. Doherty Foundation |
1000 Fördernummer
  1. 1173871; 1132975; 1071916; 1102792; 1137285; 1177174; 1194036
  2. T11-712/19-Ncdf
  3. -
  4. 2005544
  5. 1202445
  6. -
  7. -
  8. 792532
  9. -
1000 Förderprogramm
  1. Leadership Investigator Grant; Senior Research Fellowship; Principal Research Fellowship; Investigator grant; EL1 Fellowship
  2. Research Grants
  3. -
  4. Medical Research Future Fund
  5. MRFF Award
  6. Melbourne International Research Scholarship (MIRS); Melbourne International Fee Remission Scholarship; Melbourne Research Scholarship; China Scholarship Council-University of Melbourne joint Scholarship; Dame Kate Campbell Fellowship
  7. -
  8. -
  9. Collaborative Seed Grant
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Health and Medical Research Council |
    1000 Förderprogramm Leadership Investigator Grant; Senior Research Fellowship; Principal Research Fellowship; Investigator grant; EL1 Fellowship
    1000 Fördernummer 1173871; 1132975; 1071916; 1102792; 1137285; 1177174; 1194036
  2. 1000 joinedFunding-child
    1000 Förderer Council of the Hong Kong Special Administrative Region, China |
    1000 Förderprogramm Research Grants
    1000 Fördernummer T11-712/19-Ncdf
  3. 1000 joinedFunding-child
    1000 Förderer Jack Ma Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Department of Health, Australian Government |
    1000 Förderprogramm Medical Research Future Fund
    1000 Fördernummer 2005544
  5. 1000 joinedFunding-child
    1000 Förderer a2 Milk Foundation |
    1000 Förderprogramm MRFF Award
    1000 Fördernummer 1202445
  6. 1000 joinedFunding-child
    1000 Förderer University of Melbourne |
    1000 Förderprogramm Melbourne International Research Scholarship (MIRS); Melbourne International Fee Remission Scholarship; Melbourne Research Scholarship; China Scholarship Council-University of Melbourne joint Scholarship; Dame Kate Campbell Fellowship
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 Framework Programme |
    1000 Förderprogramm -
    1000 Fördernummer -
  8. 1000 joinedFunding-child
    1000 Förderer H2020 Marie Skłodowska-Curie Actions |
    1000 Förderprogramm -
    1000 Fördernummer 792532
  9. 1000 joinedFunding-child
    1000 Förderer Doherty Foundation |
    1000 Förderprogramm Collaborative Seed Grant
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6426994.rdf
1000 Erstellt am 2021-04-21T13:11:41.694+0200
1000 Erstellt von 218
1000 beschreibt frl:6426994
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2021-05-31T09:16:28.097+0200
1000 Objekt bearb. Mon May 31 09:15:54 CEST 2021
1000 Vgl. frl:6426994
1000 Oai Id
  1. oai:frl.publisso.de:frl:6426994 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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