ArticlePoultry science2020
Research Note: Development of an ELISA to distinguish between goose parvovirus infection and vaccine immunization antibodies.
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.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Establishment and application of a detection method for chinese rice-field eels rhabdovirus (CrERV) using the RPA-CRISPR/Cas12a System.Virology journal · 2026Article
- Development of an indirect ELISA for Duck circovirus detection based on prokaryotically expressed antigen.BMC veterinary research · 2025Article
- Article
- A combination of recombinase polymerase amplification with CRISPR technology rapidly detects goose parvovirus with high accuracy and sensitivity.Frontiers in cellular and infection microbiology · 2025Article
- Insights into growth retardation and dwarfism caused by goose parvovirus in goslings: a transcriptomic profiling study.Frontiers in veterinary science · 2025Article
- Rapid and visual detection of an isolated and identified goose parvovirus (GPV) strain by a loop-mediated isothermal amplification assay.Veterinary research forum : an international quarterly journal · 2023Article
- Establishment and application of a VP3 antigenic domain-based peptide ELISA for the detection of antibody against goose plague virus infection.Frontiers in microbiology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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