Evidence map›Paper›PMID 29145521›Full record

ArticlePloS one2017

Characterization of rubella-specific humoral immunity following two doses of MMR vaccine using proteome microarray technology.

Iana H Haralambieva, Michael J Gibson, Richard B Kennedy, Inna G Ovsyannikova, Nathaniel D Warner, Diane E Grill, Gregory A Poland

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

7 authors at 1 institution in 1 country.

Iana H HaralambievaMayo Vaccine Research Group, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Michael J GibsonMayo Vaccine Research Group, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Richard B KennedyMayo Vaccine Research Group, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Inna G OvsyannikovaMayo Vaccine Research Group, Mayo Clinic and Foundation, Rochester, MN, United States of America.
Nathaniel D WarnerDivision of Biomedical Statistics and Informatics- Department of Health Science Research, 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.
Gregory A PolandMayo Vaccine Research Group, Mayo Clinic and Foundation, Rochester, MN, United States of America.ORCID http://orcid.org/0000-0001-5057-4457
Mayo Clinic · US

Funding

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 R01 AI033144NIAID NIH HHS R01 AI048793NIAID NIH HHS R37 AI048793
6 · The paper itself

Abstract

INTRODUCTION//

backgroundThe lack of standardization of the currently used commercial anti-rubella IgG antibody assays leads to frequent misinterpretation of results for samples with low/equivocal antibody concentration. The use of alternative approaches in rubella serology could add new information leading to a fuller understanding of rubella protective immunity and neutralizing antibody response after vaccination.

methodsWe applied microarray technology to measure antibodies to all rubella virus proteins in 75 high and 75 low rubella virus-specific antibody responders after two MMR vaccine doses. These data were used in multivariate penalized logistic regression modeling of rubella-specific neutralizing antibody response after vaccination.

resultsWe measured antibodies to all rubella virus structural proteins (i.e., the glycoproteins E1 and E2 and the capsid C protein) and to the non-structural protein P150. Antibody levels to each of these proteins were: correlated with the neutralizing antibody titer (p<0.006); demonstrated differences between the high and the low antibody responder groups (p<0.008); and were components of the model associated with/predictive of vaccine-induced rubella virus-specific neutralizing antibody titers (misclassification error = 0.2).

conclusionOur study supports the use of this new technology, as well as the use of antibody profiles/patterns (rather than single antibody measures) as biomarkers of neutralizing antibody response and correlates of protective immunity in rubella virus serology.

Indexed as

ProteomeAdolescentAdultAntibodies, ViralHumansMeasles-Mumps-Rubella VaccineRubella virusYoung AdultAntibodies, ViralMeasles-Mumps-Rubella VaccineProteome

Identifiers

PMID29145521
PMCPMC5690594
OpenAlexW2769550604

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.