Evidence map›Paper›PMID 32111309›Full record

ArticlePoultry science2020

Research Note: Development of an ELISA to distinguish between goose parvovirus infection and vaccine immunization antibodies.

Shuai Zhang, Jing Yang, Zhenzhong Wang, Lin Chen, Youxiang Diao, Yi Tang

Open access · goldAbstract read
In one paragraph

Article in Poultry science, 2020. 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
0.7field-weighted citation impact, top 27% 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, 10 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

6 authors at 2 institutions in 1 country.

Shuai ZhangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong Province 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an, Shandong 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an, Shandong 271018, China.
Jing YangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong Province 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an, Shandong 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an, Shandong 271018, China.
Zhenzhong WangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong Province 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an, Shandong 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an, Shandong 271018, China.
Lin ChenAnimal Health Inspection of DaLian Free Trade Zone, DaLian, LiaoNing 116600, China.
Youxiang DiaoCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong Province 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an, Shandong 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an, Shandong 271018, China.
Yi TangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong Province 271018, China; Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Tai'an, Shandong 271018, China; Shandong Provincial Engineering Technology Research Center of Animal Disease Control and Prevention, Tai'an, Shandong 271018, China. Electronic address: tyck288@163.com.
Shandong Agricultural University · CNShandong Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Goose parvovirus (GPV) leads to a huge loss in the poultry industry, and early diagnosis is required to prevent the disease from spreading. At present, there are a variety of detection methods for GPV infection, and the ELISA method has the advantages of simple and rapid operation. However, most ELISA methods for detecting GPV can only detect the antibody level of the sample, but cannot distinguish between the GPV infection and vaccine immunization antibodies. Therefore, this study has a wider application value by establishing the detection method based on the structure and non-structural protein of the virus. The GPV non-structural (NS1) and structure (VP3) fusion proteins were used as coating antigens to establish 2 indirect ELISA methods, and the detection conditions were optimized. A series of experiments proved that the detection method has good specificity, sensitivity, and repeatability. The test results of 120 immune sera samples and 145 natural infection serum samples showed that the positive rates of immunized serum were 9.17% (NS1) and 88.33% (VP3), and the positive rates of natural infection were 88.97% (NS1) and 86.21% (VP3), which distinguish between the GPV infection and vaccine immunization antibodies. The establishment of 2 indirect ELISA methods using NS1 and VP3 proteins as inclusion antigens provides a new method for detecting GPV infection and inactivated immune antibodies, which lays a foundation for the serological diagnosis and epidemiological monitoring of GPV.

Indexed as

AnimalsAntibodies, ViralEnzyme-Linked Immunosorbent AssayImmunizationParvoviridae InfectionsParvovirinaePoultry DiseasesViral Fusion ProteinsViral VaccinesAntibodies, ViralViral Fusion ProteinsViral Vaccinesgoose parvovirusinactivated vaccineindirect ELISAnatural infectionprokaryotic expression

Identifiers

PMID32111309
PMCPMC7587739
OpenAlexW3000884925

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.