Evidence map›Paper›PMID 31787983›Full record

ArticleFrontiers in immunology2019

Microarray Gene Expression Dataset Re-analysis Reveals Variability in Influenza Infection and Vaccination.

Lavida R K Rogers, Gustavo de Los Campos, George I Mias

Abstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Local genetic adaptation to habitat in wild chimpanzees.bioRxiv : the preprint server for biology · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Next-generation vaccines and the impacts of state-of-the-art in-silico technologies.Biologicals : journal of the International Association of Biological Standardization · 2021
    Article
  10. Review
  11. 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

3 authors.

Lavida R K RogersMicrobiology and Molecular Genetics, Michigan State University, East Lansing, MI, United States.
Gustavo de Los CamposInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, United States.
George I MiasInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, United States.

Funding

Integrative Dynamic Omics Profiling: A First Step Towards Personalized MedicineR00HG007065 · NHGRI · MICHIGAN STATE UNIVERSITY · PI MIAS, GEORGE IOANNOU · 2014 to 2016
$745k
NHGRI NIH HHS R00 HG007065
6 · The paper itself

Abstract

Influenza, a communicable disease, affects thousands of people worldwide. Young children, elderly, immunocompromised individuals and pregnant women are at higher risk for being infected by the influenza virus. Our study aims to highlight differentially expressed genes in influenza disease compared to influenza vaccination, including variability due to age and sex. To accomplish our goals, we conducted a meta-analysis using publicly available microarray expression data. Our inclusion criteria included subjects with influenza, subjects who received the influenza vaccine and healthy controls. We curated 18 microarray datasets for a total of 3,481 samples (1,277 controls, 297 influenza infection, 1,907 influenza vaccination). We pre-processed the raw microarray expression data in R using packages available to pre-process Affymetrix and Illumina microarray platforms. We used a Box-Cox power transformation of the data prior to our down-stream analysis to identify differentially expressed genes. Statistical analyses were based on linear mixed effects model with all study factors and successive likelihood ratio tests (LRT) to identify differentially-expressed genes. We filtered LRT results by disease (Bonferroni adjusted

Indexed as

VaccinationAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolDatasets as TopicFemaleHumansInfantInfant, NewbornInfluenza, HumanInfluenza VaccinesMaleInfluenza VaccinesNF-kappa Baginggene-expressionimmunityinfluenzameta-analysismicro-arraysvaccinations

Identifiers

PMID31787983
PMCPMC6854009

What OpenQuestion holds

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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.