Evidence map›Paper›PMID 33747511›Full record

ArticleClinical & translational immunology2021

Comprehensive analysis of SARS-CoV-2 antibody dynamics in New Zealand.

Alana L Whitcombe, Reuben McGregor, Alyson Craigie, Alex James, Richard Charlewood, Natalie Lorenz, James Mj Dickson, Campbell R Sheen, Barbara Koch, Shivani Fox-Lewis and 9 more

Registry-linked trialAbstract 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. It is linked to trial NCT06939556 (Development of a High-throughput Serological Testing Platform for Mass Screening Purposes of Both Pediatric and Adult Cohorts), which is not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT06939556 recruitingnot on this mapstarted 2025, after this paper: background citation

Development of a High-throughput Serological Testing Platform for Mass Screening Purposes of Both Pediatric and Adult Cohorts

TypeobservationalSponsorIstituto Zooprofilattico Sperimentale delle VenezieRan2025 to 2025Enrolled152ConditionsDiagnostics, Pandemic Response
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  7. Mechanistic models of humoral kinetics following COVID-19 vaccination.Journal of the Royal Society, Interface · 2025
    Article
  8. Article
  9. RSV Neutralizing Antibodies in Dried Blood.The Journal of infectious diseases · 2024
    Article
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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

19 authors.

Alana L WhitcombeFaculty of Medical and Health Sciences University of Auckland Auckland New Zealand.ORCID https://orcid.org/0000-0002-1951-3469
Reuben McGregorFaculty of Medical and Health Sciences University of Auckland Auckland New Zealand.ORCID https://orcid.org/0000-0003-0684-7635
Alyson CraigieSouthern Community Laboratories Dunedin New Zealand.
Alex JamesTe Punaha Matatini and School of Mathematics and Statistics University of Canterbury Christchurch New Zealand.
Richard CharlewoodNew Zealand Blood Service Auckland New Zealand.
Natalie LorenzFaculty of Medical and Health Sciences University of Auckland Auckland New Zealand.
James Mj DicksonSchool of Biological Sciences University of Auckland Auckland New Zealand.
Campbell R SheenProtein Science and Engineering Callaghan Innovation Christchurch New Zealand.
Barbara KochProtein Science and Engineering Callaghan Innovation Christchurch New Zealand.
Shivani Fox-LewisLabPLUS Auckland City Hospital Auckland New Zealand.
Gary McAuliffeLabPLUS Auckland City Hospital Auckland New Zealand.
Sally A RobertsMaurice Wilkins Centre University of Auckland Auckland New Zealand.
Susan C MorpethMiddlemore Hospital Auckland New Zealand.
Susan TaylorMiddlemore Hospital Auckland New Zealand.
Rachel H WebbFaculty of Medical and Health Sciences University of Auckland Auckland New Zealand.
Susan JackPublic Health South Southern District Health Board Dunedin New Zealand.
Arlo UptonSouthern Community Laboratories Dunedin New Zealand.
James E UssherMaurice Wilkins Centre University of Auckland Auckland New Zealand.
Nicole J MorelandFaculty of Medical and Health Sciences University of Auckland Auckland New Zealand.ORCID https://orcid.org/0000-0001-6548-637X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCirculating antibodies are important markers of previous infection and immunity. Questions remain with respect to the durability and functionality of SARS-CoV-2 antibodies. This study explored antibody responses in recovered COVID-19 patients in a setting where the probability of re-exposure is effectively nil, owing to New Zealand's successful elimination strategy.

methodsA triplex bead-based assay that detects antibody isotype (IgG, IgM and IgA) and subclass (IgG1, IgG2, IgG3 and IgG4) responses against Nucleocapsid (N) protein, the receptor binding domain (RBD) and Spike (S) protein of SARS-CoV-2 was developed. After establishing baseline levels with pre-pandemic control sera (

resultsWhile most individuals had broad isotype and subclass responses to each antigen shortly after infection, only RBD and S protein IgG, as well as NAbs, were relatively stable over the study period, with 99%, 96% and 90% of samples, respectively, having responses over baseline 4-8 months post-infection. Anti-RBD antibodies were strongly correlated with NAbs at all time points (Pearson's

conclusionAntibodies to SARS-CoV-2 persist for up to 8 months following mild-to-moderate infection. This robust response can be attributed to the initial exposure without immune boosting given the lack of community transmission in our setting.

Indexed as

COVID‐19immunokineticsneutralising antibodiesSARS‐CoV‐2Spike protein

Identifiers

PMID33747511
PMCPMC7955949

What OpenQuestion holds

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Registered trials

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.