Evidence map›Paper›PMID 27529750›Full record

ArticlePloS one2016

Whole Transcriptome Profiling Identifies CD93 and Other Plasma Cell Survival Factor Genes Associated with Measles-Specific Antibody Response after Vaccination.

Iana H Haralambieva, Michael T Zimmermann, Inna G Ovsyannikova, Diane E Grill, Ann L Oberg, 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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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.

Iana H HaralambievaMayo Clinic Vaccine Research Group-Department of Medicine, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Michael T ZimmermannDivision of Biomedical Statistics and Informatics- Department of Health Science Research, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Inna G OvsyannikovaMayo Clinic Vaccine Research Group-Department of Medicine, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Diane E GrillDivision of Biomedical Statistics and Informatics- Department of Health Science Research, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Ann L ObergDivision of Biomedical Statistics and Informatics- Department of Health Science Research, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Richard B KennedyMayo Clinic Vaccine Research Group-Department of Medicine, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Gregory A PolandMayo Clinic Vaccine Research Group-Department of Medicine, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Mayo Clinic · 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
NIAID NIH HHS R01 AI033144NIAID NIH HHS R37 AI048793NIA NIH HHS R01 AG034676
6 · The paper itself

Abstract

backgroundThere are insufficient system-wide transcriptomic (or other) data that help explain the observed inter-individual variability in antibody titers after measles vaccination in otherwise healthy individuals.

methodsWe performed a transcriptome(mRNA-Seq)-profiling study after in vitro viral stimulation of PBMCs from 30 measles vaccine recipients, selected from a cohort of 764 schoolchildren, based on the highest and lowest antibody titers. We used regression and network biology modeling to define markers associated with neutralizing antibody response.

resultsWe identified 39 differentially expressed genes that demonstrate significant differences between the high and low antibody responder groups (p-value≤0.0002, q-value≤0.092), including the top gene CD93 (p<1.0E-13, q<1.0E-09), encoding a receptor required for antigen-driven B-cell differentiation, maintenance of immunoglobulin production and preservation of plasma cells in the bone marrow. Network biology modeling highlighted plasma cell survival (CD93, IL6, CXCL12), chemokine/cytokine activity and cell-cell communication/adhesion/migration as biological processes associated with the observed differential response in the two responder groups.

conclusionWe identified genes and pathways that explain in part, and are associated with, neutralizing antibody titers after measles vaccination. This new knowledge could assist in the identification of biomarkers and predictive signatures of protective immunity that may be useful in the design of new vaccine candidates and in clinical studies.

Indexed as

Antibody SpecificityGene Expression ProfilingVaccinationAdolescentAntibodies, ViralCell SurvivalChildCohort StudiesFemaleGene Regulatory NetworksHumansMaleMeasles virusMembrane GlycoproteinsPlasma CellsReceptors, ComplementAntibodies, Viralcomplement 1q receptorMembrane GlycoproteinsReceptors, Complement

Identifiers

PMID27529750
PMCPMC4987012
OpenAlexW2512113268

What OpenQuestion holds

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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.