Evidence map›Paper›PMID 38637586›Full record

ArticleScientific reports2024

Immune response stability to the SARS-CoV-2 mRNA vaccine booster is influenced by differential splicing of HLA genes.

Cíntia Barros Santos-Rebouças, Cristina Dos Santos Ferreira, Jeane de Souza Nogueira, Otávio José Brustolini, Luiz Gonzaga Paula de Almeida, Alexandra Lehmkuhl Gerber, Ana Paula de Campos Guimarães, Rafael Mina Piergiorge, Cláudio José Struchiner, Luís Cristóvão Porto and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  6. An overview of HLA variants in COVID-19 vaccine-induced autoimmunity.International journal of molecular epidemiology and genetics · 2025
    Review
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 2 institutions in 1 country.

Cíntia Barros Santos-RebouçasDepartment of Genetics, Institute of Biology Roberto Alcantara Gomes, Rio de Janeiro State University, Rio de Janeiro, Brazil.ORCID 0000-0003-4729-2373
Cristina Dos Santos FerreiraBioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil.ORCID 0000-0002-9961-8788
Jeane de Souza NogueiraHistocompatibility and Cryopreservation Laboratory, Rio de Janeiro State University, Rio de Janeiro, Brazil.ORCID 0000-0002-4952-2278
Otávio José BrustoliniBioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil.ORCID 0000-0001-8132-9753
Luiz Gonzaga Paula de AlmeidaBioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil.ORCID 0000-0002-7124-2715
Alexandra Lehmkuhl GerberBioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil.ORCID 0000-0001-5724-6106
Ana Paula de Campos GuimarãesBioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil.ORCID 0000-0001-9519-0545
Rafael Mina PiergiorgeDepartment of Genetics, Institute of Biology Roberto Alcantara Gomes, Rio de Janeiro State University, Rio de Janeiro, Brazil.ORCID 0000-0002-0744-4355
Cláudio José StruchinerSchool of Applied Mathematics, Getúlio Vargas Foundation, Rio de Janeiro, Brazil.ORCID 0000-0003-2114-847X
Luís Cristóvão PortoHistocompatibility and Cryopreservation Laboratory, Rio de Janeiro State University, Rio de Janeiro, Brazil.ORCID 0000-0003-1499-1821
Ana Tereza Ribeiro de VasconcelosBioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil. atrv@lncc.br.ORCID 0000-0002-4632-2086
Laboratório Nacional de Computação Científica · BRUniversidade do Estado do Rio de Janeiro · BR

Funding

Lacrimal Gland Repair Using Progenitor CellsR01EY026202 · NEI · SCRIPPS RESEARCH INSTITUTE, THE · PI MAKARENKOVA, HELEN P. · 2016 to 2025
$5.2M
Conselho Nacional de Desenvolvimento Científico e Tecnológico 302342/2022-2Conselho Nacional de Desenvolvimento Científico e Tecnológico 307145/2021-2Conselho Nacional de Desenvolvimento Científico e Tecnológico 310885/2022-1Conselho Nacional de Desenvolvimento Científico e Tecnológico 383005/2023-0Conselho Nacional de Desenvolvimento Científico e Tecnológico 404096/2020-4Conselho Nacional de Desenvolvimento Científico e Tecnológico 440931/2020-7FINEP 01.20.0029.000462/20Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/010.00156/2020Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/200.883/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/201.046/2022Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/202.376/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/202.683/2019Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.179/2020Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/211.107/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/211.133/2021
6 · The paper itself

Abstract

Many molecular mechanisms that lead to the host antibody response to COVID-19 vaccines remain largely unknown. In this study, we used serum antibody detection combined with whole blood RNA-based transcriptome analysis to investigate variability in vaccine response in healthy recipients of a booster (third) dose schedule of the mRNA BNT162b2 vaccine against COVID-19. The cohort was divided into two groups: (1) low-stable individuals, with antibody concentration anti-SARS-CoV IgG S1 below 0.4 percentile at 180 days after boosting vaccination; and (2) high-stable individuals, with antibody values greater than 0.6 percentile of the range in the same period (median 9525 [185-80,000] AU/mL). Differential gene expression, expressed single nucleotide variants and insertions/deletions, differential splicing events, and allelic imbalance were explored to broaden our understanding of the immune response sustenance. Our analysis revealed a differential expression of genes with immunological functions in individuals with low antibody titers, compared to those with higher antibody titers, underscoring the fundamental importance of the innate immune response for boosting immunity. Our findings also provide new insights into the determinants of the immune response variability to the SARS-CoV-2 mRNA vaccine booster, highlighting the significance of differential splicing regulatory mechanisms, mainly concerning HLA alleles, in delineating vaccine immunogenicity.

Indexed as

COVID-19COVID-19 VaccinesAntibodiesAntibodies, ViralBNT162 VaccineHumansImmunity, InnatemRNA VaccinesSARS-CoV-2AntibodiesAntibodies, ViralBNT162 VaccineCOVID-19 VaccinesmRNA VaccinesAdmixed populationHuman leukocyte antigenImmune response variabilitySARS-CoV-2Vaccine responseWhole blood transcriptome

Identifiers

PMID38637586
PMCPMC11026523
OpenAlexW4394915072

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.