Evidence map›Paper›PMID 29335477›Full record

ArticleScientific reports2018

Transcriptomic signatures of cellular and humoral immune responses in older adults after seasonal influenza vaccination identified by data-driven clustering.

Emily A Voigt, Diane E Grill, Michael T Zimmermann, Whitney L Simon, Inna G Ovsyannikova, Richard B Kennedy, Gregory A Poland

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  12. Co-Expression Network Analysis of Spleen Transcriptome in Rock Bream (International journal of molecular sciences · 2020
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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 3 institutions in 1 country.

Emily A VoigtMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN 55905, USA.
Diane E GrillDivision of Biomedical Statistics and Informatics Mayo Clinic, Rochester, MN 55905, USA.
Michael T ZimmermannDivision of Biomedical Statistics and Informatics Mayo Clinic, Rochester, MN 55905, USA.
Whitney L SimonMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN 55905, USA.
Inna G OvsyannikovaMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN 55905, USA.
Richard B KennedyMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN 55905, USA.
Gregory A PolandMayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN 55905, USA. poland.gregory@mayo.edu.
Mayo Clinic in Florida · USMayo Clinic · USMayo Clinic in Arizona · US

Funding

Bioinformatics Approach to Influenza A/H1N1 Vaccine Immune ProfilingU01AI089859 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2010 to 2015
$33.8M
Transcriptomic Signatures of Influenza Vaccine ResponsesR01AI132348 · NIAID · MAYO CLINIC ROCHESTER · PI KENNEDY, RICHARD B, POLAND, GREGORY A. · 2018 to 2022
$3.9M
NIAID NIH HHS R01 AI132348NIAID NIH HHS U01 AI089859
6 · The paper itself

Abstract

PBMC transcriptomes after influenza vaccination contain valuable information about factors affecting vaccine responses. However, distilling meaningful knowledge out of these complex datasets is often difficult and requires advanced data mining algorithms. We investigated the use of the data-driven Weighted Gene Correlation Network Analysis (WGCNA) gene clustering method to identify vaccine response-related genes in PBMC transcriptomic datasets collected from 138 healthy older adults (ages 50-74) before and after 2010-2011 seasonal trivalent influenza vaccination. WGCNA separated the 14,197 gene dataset into 15 gene clusters based on observed gene expression patterns across subjects. Eight clusters were strongly enriched for genes involved in specific immune cell types and processes, including B cells, T cells, monocytes, platelets, NK cells, cytotoxic T cells, and antiviral signaling. Examination of gene cluster membership identified signatures of cellular and humoral responses to seasonal influenza vaccination, as well as pre-existing cellular immunity. The results of this study illustrate the utility of this publically available analysis methodology and highlight genes previously associated with influenza vaccine responses (e.g., CAMK4, CD19), genes with functions not previously identified in vaccine responses (e.g., SPON2, MATK, CST7), and previously uncharacterized genes (e.g. CORO1C, C8orf83) likely related to influenza vaccine-induced immunity due to their expression patterns.

Indexed as

Gene Expression ProfilingImmunity, CellularImmunity, HumoralAgedComputational BiologyFemaleHealthy VolunteersHumansImmunologic FactorsInfluenza VaccinesMaleMiddle AgedImmunologic FactorsInfluenza Vaccines

Identifiers

PMID29335477
PMCPMC5768803
OpenAlexW2782591664

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Registered trials

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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.