Evidence map›Paper›PMID 23658707›Full record

ArticlePloS one2013

Genome-wide characterization of transcriptional patterns in high and low antibody responders to rubella vaccination.

Iana H Haralambieva, Ann L Oberg, Inna G Ovsyannikova, Richard B Kennedy, Diane E Grill, Sumit Middha, Brian M Bot, Vivian W Wang, David I Smith, Robert M Jacobson and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  18. Rubella.Lancet (London, England) · 2015
    Review
  19. Article
  20. Changing face of vaccination in immunocompromised hosts.Current infectious disease reports · 2014
    Article
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 4 institutions in 1 country.

Iana H HaralambievaVaccine Research Group, Mayo Clinic, Rochester, Minnesota, USA.
Ann L Oberg
Inna G Ovsyannikova
Richard B Kennedy
Diane E Grill
Sumit Middha
Brian M Bot
Vivian W Wang
David I Smith
Robert M Jacobson
Gregory A Poland
Mayo Clinic in Florida · USMayo Clinic · USSage Bionetworks · USWinnMed · US

Funding

Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
The Immunogenetics of Measles ImmunityR01AI033144 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 1993 to 2022
$8.1M
Immunogenetic Mechanisms of Vaccine ResponseR37AI048793 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2011 to 2020
$5.4M
IMMUNOGENETIC MECHANISMS OF VACCINE RESPONSER01AI048793 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2001 to 2010
$4.3M
NIAID NIH HHS AI33144NIAID NIH HHS AI48793NIAID NIH HHS R01 AI033144NIAID NIH HHS R01 AI048793NIAID NIH HHS R37 AI048793NIA NIH HHS R01 AG034676
6 · The paper itself

Abstract

Immune responses to current rubella vaccines demonstrate significant inter-individual variability. We performed mRNA-Seq profiling on PBMCs from high and low antibody responders to rubella vaccination to delineate transcriptional differences upon viral stimulation. Generalized linear models were used to assess the per gene fold change (FC) for stimulated versus unstimulated samples or the interaction between outcome and stimulation. Model results were evaluated by both FC and p-value. Pathway analysis and self-contained gene set tests were performed for assessment of gene group effects. Of 17,566 detected genes, we identified 1,080 highly significant differentially expressed genes upon viral stimulation (p<1.00E(-15), FDR<1.00E(-14)), including various immune function and inflammation-related genes, genes involved in cell signaling, cell regulation and transcription, and genes with unknown function. Analysis by immune outcome and stimulation status identified 27 genes (p≤0.0006 and FDR≤0.30) that responded differently to viral stimulation in high vs. low antibody responders, including major histocompatibility complex (MHC) class I genes (HLA-A, HLA-B and B2M with p = 0.0001, p = 0.0005 and p = 0.0002, respectively), and two genes related to innate immunity and inflammation (EMR3 and MEFV with p = 1.46E(-08) and p = 0.0004, respectively). Pathway and gene set analysis also revealed transcriptional differences in antigen presentation and innate/inflammatory gene sets and pathways between high and low responders. Using mRNA-Seq genome-wide transcriptional profiling, we identified antigen presentation and innate/inflammatory genes that may assist in explaining rubella vaccine-induced immune response variations. Such information may provide new scientific insights into vaccine-induced immunity useful in rational vaccine development and immune response monitoring.

Indexed as

TranscriptomeVaccinationAdolescentAntibodies, ViralCells, CulturedFemaleGenes, ViralGenome-Wide Association StudyHost-Pathogen InteractionsHumansLeukocytes, MononuclearMeasles-Mumps-Rubella VaccineRNA, MessengerRubellaRubella virusTranscription, GeneticAntibodies, ViralMeasles-Mumps-Rubella VaccineRNA, MessengerViral Proteins

Identifiers

PMID23658707
PMCPMC3641062
OpenAlexW2089485752

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.