Evidence map›Paper›PMID 23892102›Full record

ArticleVaccine2013

Characterization of a serologic marker candidate for development of a live-attenuated DIVA vaccine against porcine reproductive and respiratory syndrome virus.

Hiep L X Vu, Byungjoon Kwon, Marcelo de Lima, Asit K Pattnaik, Fernando A Osorio

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 14 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

5 authors at 2 institutions in 2 countries.

Hiep L X VuNebraska Center for Virology and School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
Byungjoon Kwon
Marcelo de Lima
Asit K Pattnaik
Fernando A Osorio
University of Nebraska–Lincoln · USUniversidade Federal de Pelotas · BR

Funding

Nebraska Center for VirologyP30GM103509 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI WOOD, CHARLES · 2012 to 2014
$3.3M
NIGMS NIH HHS P30 GM103509
6 · The paper itself

Abstract

DIVA (differentiating infected from vaccinated animals) vaccines have proven extremely useful for control and eradication of infectious diseases in livestock. We describe here the characterization of a serologic marker epitope, so-called epitope-M201, which can be a potential target for development of a live-attenuated DIVA vaccine against porcine reproductive and respiratory syndrome virus (PRRSV). Epitope-M201 is located at the carboxyl terminus (residues 161-174) of the viral M protein. The epitope is highly immunodominant and well-conserved among type-II PRRSV isolates. Rabbit polyclonal antibodies prepared against this epitope are non-neutralizing; thus, the epitope does not seem to contribute to the protective immunity against PRRSV infection. Importantly, the immunogenicity of epitope-M201 can be disrupted through the introduction of a single amino acid mutation which does not adversely affect the viral replication. All together, our results provide an important starting point for the development of a live-attenuated DIVA vaccine against type-II PRRSV.

Indexed as

Amino Acid SequenceAnimalsAntibodies, ViralEpitopesGlycoproteinsMicePorcine Reproductive and Respiratory SyndromePorcine respiratory and reproductive syndrome virusSwineSwine DiseasesVaccinationVaccines, AttenuatedViral VaccinesAntibodies, ViralEpitopesGlycoproteinsprotein M (glycoprotein)Vaccines, AttenuatedViral VaccinesDIVA vaccinesM proteinPRRSVSerological marker epitope

Identifiers

PMID23892102
PMCPMC4152006
OpenAlexW2035377840

What OpenQuestion holds

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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.