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Evaluation of purified recombinant spike fragments for assessment of the presence of serum neutralizing antibodies against a variant strain of porcine epidemic diarrhea virus

Overview of attention for article published in Virologica Sinica, July 2017
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Title
Evaluation of purified recombinant spike fragments for assessment of the presence of serum neutralizing antibodies against a variant strain of porcine epidemic diarrhea virus
Published in
Virologica Sinica, July 2017
DOI 10.1007/s12250-017-3969-8
Pubmed ID
Authors

Jianwei Hao, Yun Zhang, Shengkun Fang, Zhifen Wen, Xiangbin Zhang, Chunyi Xue, Yongchang Cao

Abstract

Since 2010, variant strains of porcine epidemic diarrhea virus (PEDV) have caused disasters in the pork industry. The spike (S) protein, as the major immunity-eliciting antigen, has previously been used for serological testing and has been found to correlate significantly with the results of the serum neutralization (SN) test. However, further evaluation of this method is needed as new epidemic strains of PEDV emerge. Hence, the main objective of this study was to assess sow sera and determine the correlation between enzyme-linked immunosorbent assay (ELISA) results (involving a newly isolated GDS01 virus-based ELISA and ELISAs based on seven recombinant fragments comprising overlapping S1 and partial S2 sequences) and SN titers. Furthermore, we determined the reliability of the ELISAs based on receiver operating characteristics (ROC) curve analyses. For the most promising ELISA, i.e., the SP4 ELISA, the correlation coefficient (r) and the area under curve (AUC) were determined to be 0.6113 and 0.8538, respectively. In addition, we analyzed the homology of the SP4 sequences obtained from different strains (including vaccine strains) and found that various strains showed a high degree of homology in this region. Thus, we conclude that SP4 is a promising serological testing protein for use in the field.

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Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 29%
Student > Ph. D. Student 2 14%
Other 1 7%
Professor 1 7%
Student > Doctoral Student 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Medicine and Dentistry 2 14%
Agricultural and Biological Sciences 2 14%
Veterinary Science and Veterinary Medicine 1 7%
Business, Management and Accounting 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 2 14%
Unknown 5 36%