Literature DB >> 31867929

Development of a blocking immunoperoxidase monolayer assay for differentiation between pseudorabies virus-infected and vaccinated animalss.

Y B Wang1,2,3, Y H Li2,3, Q M Li3, W T Xie2,3, C L Guo2,3, J Q Guo3, R G Deng3, G P Zhang2,3,4,5.   

Abstract

Pseudorabies (PR) outbreaks have devastated many swine farms in several parts of China since late 2011. The outbreak-associated pseudorabies virus (PRV) variant strains exhibited some typical amino acid changes in glycoprotein E (gE), a diagnostic antigen used for discriminating between PRV-infected and vaccinated animals (DIVA). To counteract the potential impact of epitope variations on current serological diagnostics of PRV, we produced monoclonal antibodies (mAbs) against gE protein of one representative PRV variant strain and developed a blocking immunoperoxidase monolayer assay (b-IPMA) for DIVA. The b-IPMA was based on the inhibition of binding between PRV-infected cells and mAb by PRV-specific antibodies present in clinical swine sera and was validated by comparison with a commercial PRV gpI Antibody Test Kit (IDEXX Laboratories, USA). The diagnostic sensitivity, diagnostic specificity and agreement were determined to be 99.25%, 98.18% and 99.02% respectively upon testing 509 serum samples. b-IPMA detected only PRV-specific antibodies and showed no cross- -reactivity with antibodies elicited by gE-deleted vaccine or other common swine pathogens. Thus, b-IPMA has the potential to be used for high-throughput screening of PRV-infected animals in veterinary clinics. Copyright© by the Polish Academy of Sciences.

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Keywords:  anti-pseudorabies virus monoclonal antibody; blocking immunoperoxidase monolayer assay; differentiation between pseudorabies virus-infected and vaccinated animals; pseudorabies virus variant strains

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Year:  2019        PMID: 31867929     DOI: 10.24425/pjvs.2019.129985

Source DB:  PubMed          Journal:  Pol J Vet Sci        ISSN: 1505-1773            Impact factor:   0.821


  1 in total

Review 1.  Pseudorabies Virus: From Pathogenesis to Prevention Strategies.

Authors:  Hui-Hua Zheng; Peng-Fei Fu; Hong-Ying Chen; Zhen-Ya Wang
Journal:  Viruses       Date:  2022-07-27       Impact factor: 5.818

  1 in total

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