Evidence map›Paper›PMID 33088507›Full record

ArticleClinical & translational immunology2020

Influenza-specific IgG1

Gemma E Hartley, Emily S J Edwards, Julian J Bosco, Samar Ojaimi, Robert G Stirling, Paul U Cameron, Katie Flanagan, Magdalena Plebanski, Philip Mark Hogarth, Robyn E O'Hehir and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Gemma E HartleyDepartment of Immunology and Pathology Central Clinical School Monash University Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-3174-231X
Emily S J EdwardsDepartment of Immunology and Pathology Central Clinical School Monash University Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-0240-4370
Julian J BoscoThe Jeffrey Modell Diagnostic and Research Centre for Primary Immunodeficiencies Melbourne VIC Australia.ORCID https://orcid.org/0000-0001-5851-9751
Samar OjaimiThe Jeffrey Modell Diagnostic and Research Centre for Primary Immunodeficiencies Melbourne VIC Australia.ORCID https://orcid.org/0000-0003-2129-1866
Robert G StirlingThe Jeffrey Modell Diagnostic and Research Centre for Primary Immunodeficiencies Melbourne VIC Australia.ORCID https://orcid.org/0000-0001-9877-5450
Paul U CameronThe Jeffrey Modell Diagnostic and Research Centre for Primary Immunodeficiencies Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-1906-6945
Katie FlanaganDepartment of Immunology and Pathology Central Clinical School Monash University Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-1575-1953
Magdalena PlebanskiSchool of Health and Biomedical Sciences RMIT Bundoora VIC Australia.ORCID https://orcid.org/0000-0001-6889-3667
Philip Mark HogarthDepartment of Immunology and Pathology Central Clinical School Monash University Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-0360-7890
Robyn E O'HehirDepartment of Immunology and Pathology Central Clinical School Monash University Melbourne VIC Australia.ORCID https://orcid.org/0000-0002-3489-7595
Menno C van ZelmDepartment of Immunology and Pathology Central Clinical School Monash University Melbourne VIC Australia.ORCID https://orcid.org/0000-0003-4161-1919
Jeffrey Modell Foundation · AUBurnet Institute · AUMonash Health · AURMIT University · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnnual influenza vaccination is recommended to all individuals over 6 months of age, including predominantly antibody deficiency (PAD) patients. Vaccination responses are typically evaluated by serology, and because PAD patients are by definition impaired in generating IgG and receive immunoglobulin replacement therapy (IgRT), it remains unclear whether they can mount an antigen-specific response.

objectiveTo quantify and characterise the antigen-specific memory B (Bmem) cell compartment in healthy controls and PAD patients following an influenza booster vaccination.

methodsRecombinant hemagglutinin (HA) from the A/Michigan/2015 H1N1 (AM15) strain with an AviTag was generated in a mammalian cell line, and following targeted biotinylation, was tetramerised with BUV395 or BUV737 streptavidin conjugates. Multicolour flow cytometry was applied on blood samples before and 28 days after booster influenza vaccination in 16 healthy controls and five PAD patients with circulating Bmem cells.

resultsRecombinant HA tetramers were specifically recognised by 0.5-1% of B cells in previously vaccinated healthy adults. HA-specific Bmem cell numbers were significantly increased following booster vaccination and predominantly expressed IgG1. Similarly, PAD patients carried HA-specific Bmem cells, predominantly expressing IgG1. However, these numbers were lower than in controls and did not increase following booster vaccination.

conclusionWe have successfully identified AM15-specific Bmem cells in healthy controls and PAD patients. The presence of antigen-specific Bmem cells could offer an additional diagnostic tool to aid in the clinical diagnosis of PAD. Furthermore, alterations in the number or immunophenotype of HA-specific Bmem cells post-booster vaccination could assist in the evaluation of immune responses in individuals receiving IgRT.

Indexed as

antigen‐specific memory B cellsinfluenzapredominantly antibody deficiencyvaccination

Identifiers

PMID33088507
PMCPMC7563650
OpenAlexW3093771731

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.