Evidence map›Paper›PMID 33680466›Full record

ArticleClinical & translational immunology2021

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

Louise C Rowntree, Brendon Y Chua, Suellen Nicholson, Marios Koutsakos, Luca Hensen, Celia Douros, Kevin Selva, Francesca L Mordant, Chinn Yi Wong, Jennifer R Habel and 16 more

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 5 institutions in 4 countries.

Louise C RowntreeDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-0649-5089
Brendon Y ChuaDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.ORCID https://orcid.org/0000-0001-5654-1293
Suellen NicholsonVictorian Infectious Diseases Reference Laboratory The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Marios KoutsakosDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Luca HensenDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Celia DourosVictorian Infectious Diseases Reference Laboratory The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Kevin SelvaDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Francesca L MordantDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-3754-2642
Chinn Yi WongDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Jennifer R HabelDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Wuji ZhangDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Xiaoxiao JiaDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Lily AllenDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Denise L DoolanCentre for Molecular Therapeutics Australian Institute of Tropical Health & Medicine James Cook University Cairns QLD Australia.
David C JacksonDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Adam K WheatleyDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Stephen J KentDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Fatima AmanatDepartment of Microbiology Icahn School of Medicine at Mount Sinai New York NY USA.
Florian KrammerDepartment of Microbiology Icahn School of Medicine at Mount Sinai New York NY USA.
Kanta SubbaraoDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Allen C ChengSchool of Public Health and Preventive Medicine Monash University Melbourne VIC Australia.
Amy W ChungDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.ORCID https://orcid.org/0000-0003-0020-9704
Mike CattonVictorian Infectious Diseases Reference Laboratory The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Thi Ho NguyenDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-9294-7693
Carolien E van de SandtDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-4155-7433
Katherine KedzierskaDepartment of Microbiology and Immunology University of Melbourne, at the Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.ORCID https://orcid.org/0000-0001-6141-335X
The University of Melbourne · AUThe Royal Melbourne Hospital · AUIcahn School of Medicine at Mount Sinai · USAlfred Health · AUAustralian Institute of Tropical Health and Medicine · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs 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.

methodsWe 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.

resultsAntibody 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.

conclusionOur 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.

Indexed as

antibody‐secreting cellsELISAneutralisation assaySARS‐CoV‐2 antibodiesT follicular helper cells

Identifiers

PMID33680466
PMCPMC7916820
OpenAlexW3133639598

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.