Evidence map›Paper›PMID 29360511›Full record

ArticleExperimental gerontology2018

Responders and non-responders to influenza vaccination: A DNA methylation approach on blood cells.

Noémie Gensous, Claudio Franceschi, Bonnie B Blomberg, Chiara Pirazzini, Francesco Ravaioli, Davide Gentilini, Anna Maria Di Blasio, Paolo Garagnani, Daniela Frasca, Maria Giulia Bacalini

Open access · greenAbstract read
In one paragraph

Article in Experimental gerontology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  13. B Cell Immunosenescence.Annual review of cell and developmental biology · 2020
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  15. Observational
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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

10 authors at 5 institutions in 2 countries.

Noémie GensousDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
Claudio FranceschiDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; Interdepartmental Center "L. Galvani", University of Bologna, Bologna, Italy; IRCCS Institute of Neurological Sciences, Bologna, Italy. Electronic address: claudio.franceschi@unibo.it.
Bonnie B BlombergInstitute of Molecular Genetics (IGM)-CNR, Unit of Bologna, Bologna, Italy. Electronic address: bblomber@med.miami.edu.
Chiara PirazziniIRCCS Institute of Neurological Sciences, Bologna, Italy. Electronic address: chiara.pirazzini5@unibo.it.
Francesco RavaioliDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy. Electronic address: francesco.ravaioli2@unibo.it.
Davide GentiliniIstituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy.
Anna Maria Di BlasioIstituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy. Electronic address: a.diblasio@auxologico.it.
Paolo GaragnaniDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; Center for Applied Biomedical Research (CRBA), St. Orsola-Malpighi University Hospital, Bologna, Italy; Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, S-141 86 Stockholm, Sweden; Institute of Molecular Genetics (IGM)-CNR, Unit of Bologna, Bologna, Italy; Laboratory of Musculoskeletal Cell Biology, Rizzoli Orthopaedic Institute, Bologna, Italy. Electronic address: paolo.garagnani2@unibo.it.
Daniela FrascaDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, USA. Electronic address: dfrasca@med.miami.edu.
Maria Giulia BacaliniIRCCS Institute of Neurological Sciences, Bologna, Italy. Electronic address: mariagiuli.bacalini2@unibo.it.
University of Bologna · ITInstitute of Neurological Sciences · ITIRCCS Istituto Auxologico Italiano · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Miami · US

Funding

How do obesity and related inflammation decrease antibody responses in aging?R01AG023717 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BLOMBERG, BONNIE B., FRASCA, DANIELA · 2017 to 2021
$1.8M
Regulation of B Lymphocyte Defects in Senescent HumansR01AG032576 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BLOMBERG, BONNIE B. · 2009 to 2014
$1.6M
Regulation of primary and memory B cell vaccine responses in the elderlyR56AG032576 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BLOMBERG, BONNIE B., FRASCA, DANIELA · 2015 to 2015
$598k
Micro-RNAs: a new mechanism negatively regulating B cell responses in the elderlyR21AG042826 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BLOMBERG, BONNIE B., FRASCA, DANIELA · 2013 to 2014
$422k
Molecular mechanisms for TNF-mediated inhibition of B lymphocyte functionR21AI096446 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BLOMBERG, BONNIE B., FRASCA, DANIELA · 2012 to 2013
$407k
NIAID NIH HHS R21 AI096446NIA NIH HHS R01 AG023717NIA NIH HHS R01 AG032576NIA NIH HHS R21 AG042826NIA NIH HHS R56 AG032576
6 · The paper itself

Abstract

Several evidences indicate that aging negatively affects the effectiveness of influenza vaccination. Although it is well established that immunosenescence has an important role in vaccination response, the molecular pathways underlying this process are largely unknown. Given the importance of epigenetic remodeling in aging, here we analyzed the relationship between responsiveness to influenza vaccination and DNA methylation profiles in healthy subjects of different ages. Peripheral blood mononuclear cells were collected from 44 subjects (age range: 19-90 years old) immediately before influenza vaccination. Subjects were subsequently classified as responders or non-responders according to hemagglutination inhibition assay 4-6 weeks after the vaccination. Baseline whole genome DNA methylation in peripheral blood mononuclear cells was analyzed using the Illumina® Infinium 450 k microarray. Differential methylation analysis between the two groups (responders and non-responders) was performed through an analysis of variance, correcting for age, sex and batch. We identified 83 CpG sites having a nominal p-value <.001 and absolute difference in DNA methylation of at least 0.05 between the two groups. For some CpG sites, we observed age-dependent decrease or increase in methylation, which in some cases was specific for the responders and non-responders groups. Finally, we divided the cohort in two subgroups including younger (age < 50) and older (age ≥ 50) subjects and compared DNA methylation between responders and non-responders, correcting for sex and batch in each subgroup. We identified 142 differentially methylated CpG sites in the young subgroup and 305 in the old subgroup, suggesting a larger epigenetic remodeling at older ages. Interestingly, some of the differentially methylated probes mapped in genes involved in immunosenescence (CD40) and in innate immunity responses (CXCL16, ULK1, BCL11B, BTC). In conclusion, the analysis of epigenetic landscape can shed light on the biological basis of vaccine responsiveness during aging, possibly providing new appropriate biomarkers of this process.

Indexed as

DNA MethylationAdultAgedAged, 80 and overAgingEpigenesis, GeneticFemaleGenome-Wide Association StudyHumansImmunity, InnateImmunogenicity, VaccineImmunosenescenceInfluenza, HumanInfluenza VaccinesLeukocytes, MononuclearMaleInfluenza VaccinesAgingDNA methylationImmunosenescenceInfluenza vaccination

Identifiers

PMID29360511
PMCPMC5989724
OpenAlexW2793221825

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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.