Evidence map›Paper›PMID 36574772›Full record

ArticleImmunity2023

Immunoglobulin germline gene polymorphisms influence the function of SARS-CoV-2 neutralizing antibodies.

Pradeepa Pushparaj, Andrea Nicoletto, Daniel J Sheward, Hrishikesh Das, Xaquin Castro Dopico, Laura Perez Vidakovics, Leo Hanke, Mark Chernyshev, Sanjana Narang, Sungyong Kim and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Immunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Protective near-germline antibodies to malaria elicited by RTS,S/AS01bioRxiv : the preprint server for biology · 2026
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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

17 authors at 2 institutions in 1 country.

Pradeepa PushparajDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Andrea NicolettoDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Daniel J ShewardDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Hrishikesh DasDepartment of Cell and Molecular Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Xaquin Castro DopicoDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Laura Perez VidakovicsDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Leo HankeDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Mark ChernyshevDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Sanjana NarangDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Sungyong KimDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Julian FischbachDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Simon EkströmDepartment of Biomedical Engineering, Lund University, 221 84 Lund, Sweden.
Gerald McInerneyDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
B Martin HällbergDepartment of Cell and Molecular Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Ben MurrellDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Martin CorcoranDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Gunilla B Karlsson HedestamDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden. Electronic address: gunilla.karlsson.hedestam@ki.se.
Karolinska Institutet · SELund University · SE

Funding

Medical Research Council MR/W005611/1
6 · The paper itself

Abstract

The human immunoglobulin heavy-chain (IGH) locus is exceptionally polymorphic, with high levels of allelic and structural variation. Thus, germline IGH genotypes are personal, which may influence responses to infection and vaccination. For an improved understanding of inter-individual differences in antibody responses, we isolated SARS-CoV-2 spike-specific monoclonal antibodies from convalescent health care workers, focusing on the IGHV1-69 gene, which has the highest level of allelic variation of all IGHV genes. The IGHV1-69

Indexed as

COVID-19SARS-CoV-2Antibodies, NeutralizingAntibodies, ViralGerm CellsHumansImmunoglobulin Heavy ChainsPolymorphism, GeneticAntibodies, NeutralizingAntibodies, ViralImmunoglobulin Heavy Chainscopy-number variationimmunoglobulin allelic diversityneutralizing antibodySARS-CoV-2single-nucleotide polymorphism

Identifiers

PMID36574772
PMCPMC9742198
OpenAlexW4311134609

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.