Evidence map›Paper›PMID 26786046›Full record

ArticleBMC veterinary research2016

Development and application of an indirect enzyme-linked immunosorbent assay using recombinant truncated Cap protein for the diagnosis of porcine circovirus-like virus P1.

Li-bin Wen, Shi-fu Wen, Kong-wang He

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in BMC veterinary research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 12% 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, 11 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

3 authors at 1 institution in 1 country.

Li-bin WenInstitute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China. wlbwh@hotmail.com.
Shi-fu WenInstitute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China. 503535546@qq.com.
Kong-wang HeInstitute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China. kwh2003@yeah.net.
Jiangsu Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPorcine circovirus-like virus P1 is a newly discovered virus. To date, there has been no specific serological assay for use in the diagnosis of P1 infection.

resultsBecause P1 has high homology to porcine circovirus type 2 (PCV2) at the nucleotide level, the C-terminal portion of the capsid protein (amino acids 73-114), a discriminative antigen, was expressed in a prokaryotic expression system. The recombinant product (rctCap), composed of three identical repeated domains, was shown to be strongly immunoreactive to P1-specific serum. This assay was validated by comparison with an indirect immunofluorescence assay (IFA). The diagnostic sensitivity and specificity of the rctCap enzyme-linked immunosorbent assay (ELISA) developed in this study are 93.6% and 98.3%, respectively, compared with the results from IFAs on 450 sera samples from pigs.

conclusionsThe indirect ELISA that we developed with rctCap, the recombinant capsid fragment containing the 217-342 nt repeat domain, was sensitive, specific, and suitable for the large-scale detection of P1 infections in swine.

Indexed as

AnimalsCapsid ProteinsCircoviridae InfectionsCloning, MolecularEnzyme-Linked Immunosorbent AssayFluorescent Antibody Technique, IndirectPeptide FragmentsRecombinant ProteinsReproducibility of ResultsSensitivity and SpecificitySwineSwine DiseasesCapsid ProteinsPeptide FragmentsRecombinant Proteins

Identifiers

PMID26786046
PMCPMC4717539
OpenAlexW2289873608

What OpenQuestion holds

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LicenceCC BY
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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.