Evidence map›Paper›PMID 38433763›Full record

ArticleClinical & translational immunology2024

Immunoglobulin G genetic variation can confound assessment of antibody levels via altered binding to detection reagents.

Ruth A Purcell, L Carissa Aurelia, Robyn Esterbauer, Lilith F Allen, Katherine A Bond, Deborah A Williamson, Janine M Trevillyan, Jason A Trubiano, Jennifer J Juno, Adam K Wheatley and 6 more

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

16 authors at 2 institutions in 1 country.

Ruth A PurcellDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.ORCID https://orcid.org/0000-0001-6378-5114
L Carissa AureliaDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.
Robyn EsterbauerDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-7091-0048
Lilith F AllenDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.
Katherine A BondDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.
Deborah A WilliamsonVictorian Infectious Diseases Reference Laboratory (VIDRL) The Peter Doherty Institute for Infection and Immunity Melbourne VIC Australia.
Janine M TrevillyanDepartment of Infectious Diseases The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.
Jason A TrubianoCentre for Antibiotic Allergy and Research, Department of Infectious Diseases Austin Health Heidelberg VIC Australia.
Jennifer J JunoDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-9072-1017
Adam K WheatleyDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.
Miles P DavenportKirby Institute University of New South Wales Kensington NSW Australia.
Thi Ho NguyenDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-9294-7693
Katherine KedzierskaDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.ORCID https://orcid.org/0000-0001-6141-335X
Stephen J KentDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-8539-4891
Kevin John SelvaDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.
Amy W ChungDepartment of Microbiology and Immunology The Peter Doherty Institute for Infection and Immunity, University of Melbourne Melbourne VIC Australia.ORCID https://orcid.org/0000-0003-0020-9704
The University of Melbourne · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Amino acid variations across more than 30 immunoglobulin (Ig) allotypes may introduce structural changes that influence recognition by anti-Ig detection reagents, consequently confounding interpretation of antibody responses, particularly in genetically diverse cohorts. Here, we assessed a panel of commercial monoclonal anti-IgG1 clones for capacity to universally recognise two dominant IgG1 haplotypes (G1m-1,3 and G1m1,17). Methods: Four commercial monoclonal anti-human IgG1 clones were assessed via ELISAs and multiplex bead-based assays for their ability to bind G1m-1,3 and G1m1,17 IgG1 variants. Detection antibodies were validated against monoclonal IgG1 allotype standards and tested for capacity to recognise antigen-specific plasma IgG1 from G1m-1,3 and G1m1,17 homozygous and heterozygous SARS-CoV-2 BNT162b2 vaccinated ( Results: Hinge-specific anti-IgG1 clone 4E3 preferentially bound G1m1,17 compared to G1m-1,3 IgG1. Consequently, SARS-CoV-2 Spike-specific IgG1 levels detected in G1m1,17/G1m1,17 BNT162b2 vaccinees appeared 9- to 17-fold higher than in G1m-1,3/G1m-1,3 vaccinees. Fc-specific IgG1 and Conclusion: Anti-IgG1 clone 4E3 confounds assessment of antibody responses in clinical cohorts owing to bias towards detection of G1m1,17 IgG1 variants. Validation of anti-Ig clones should include evaluation of binding to relevant antibody variants, particularly as the role of immunogenetics upon humoral immunity is increasingly explored in diverse populations.

Indexed as

allotypeanti‐immunoglobulinIgGpolymorphismsreproducibilityserology

Identifiers

PMID38433763
PMCPMC10902689
OpenAlexW4392306657

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.