Evidence map›Paper›PMID 27031986›Full record

ArticlePloS one2016

System-Wide Associations between DNA-Methylation, Gene Expression, and Humoral Immune Response to Influenza Vaccination.

Michael T Zimmermann, Ann L Oberg, Diane E Grill, Inna G Ovsyannikova, Iana H Haralambieva, Richard B Kennedy, Gregory A Poland

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
4.5field-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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.

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  20. Immunosenescence: molecular mechanisms and diseases.Signal transduction and targeted therapy · 2023
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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

7 authors at 1 institution in 1 country.

Michael T ZimmermannDepartment of Health Science Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America.
Ann L ObergDepartment of Health Science Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America.
Diane E GrillDepartment of Health Science Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America.
Inna G OvsyannikovaMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, Minnesota, United States of America.
Iana H HaralambievaMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, Minnesota, United States of America.
Richard B KennedyMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, Minnesota, United States of America.
Gregory A PolandMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, Minnesota, United States of America.
Mayo Clinic in Florida · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Bioinformatics Approach to Influenza A/H1N1 Vaccine Immune ProfilingU01AI089859 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2010 to 2015
$33.8M
NCATS NIH HHS UL1 TR000135NIAID NIH HHS U01 AI089859NIAID NIH HHS U01AI089859
6 · The paper itself

Abstract

Failure to achieve a protected state after influenza vaccination is poorly understood but occurs commonly among aged populations experiencing greater immunosenescence. In order to better understand immune response in the elderly, we studied epigenetic and transcriptomic profiles and humoral immune response outcomes in 50-74 year old healthy participants. Associations between DNA methylation and gene expression reveal a system-wide regulation of immune-relevant functions, likely playing a role in regulating a participant's propensity to respond to vaccination. Our findings show that sites of methylation regulation associated with humoral response to vaccination impact known cellular differentiation signaling and antigen presentation pathways. We performed our analysis using per-site and regionally average methylation levels, in addition to continuous or dichotomized outcome measures. The genes and molecular functions implicated by each analysis were compared, highlighting different aspects of the biologic mechanisms of immune response affected by differential methylation. Both cis-acting (within the gene or promoter) and trans-acting (enhancers and transcription factor binding sites) sites show significant associations with measures of humoral immunity. Specifically, we identified a group of CpGs that, when coordinately hypo-methylated, are associated with lower humoral immune response, and methylated with higher response. Additionally, CpGs that individually predict humoral immune responses are enriched for polycomb-group and FOXP2 transcription factor binding sites. The most robust associations implicate differential methylation affecting gene expression levels of genes with known roles in immunity (e.g. HLA-B and HLA-DQB2) and immunosenescence. We believe our data and analysis strategy highlight new and interesting epigenetic trends affecting humoral response to vaccination against influenza; one of the most common and impactful viral pathogens.

Indexed as

DNA MethylationEpigenesis, GeneticImmunity, HumoralAgedFemaleHumansInfluenza, HumanInfluenza VaccinesMaleMiddle AgedVaccinationInfluenza Vaccines

Identifiers

PMID27031986
PMCPMC4816338
OpenAlexW2320901857

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.