Development of an indirect ELISA to specifically detect antibodies against African swine fever virus: bioinformatics approaches

Autor: Zhan Gao, Jun-Jun Shao, Guang-Lei Zhang, Su-Dan Ge, Yan-Yan Chang, Lei Xiao, Hui-Yun Chang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Virology Journal, Vol 18, Iss 1, Pp 1-10 (2021)
Druh dokumentu: article
ISSN: 1743-422X
DOI: 10.1186/s12985-021-01568-2
Popis: Abstract Background African swine fever (ASF), characterized by acute, severe, and fast-spreading, is a highly lethal swine infectious disease caused by the African swine fever virus (ASFV), which has caused substantial economic losses to the pig industry worldwide in the past 100 years. Methods This study started with bioinformatics methods and verified the epitope fusion protein method's reliability that does not rely on traditional epitope identification. Meanwhile, it will also express and purify the constructed genes through prokaryotic expression and establish antibody detection methods. Results The results indicated that the protein had good reactivity and did not cross-react with other swine diseases. The receiver-operating characteristic analysis was performed to verify the determination. The area under the receiver-operating characteristic curve was 0.9991 (95% confidence interval 0.9973 to 1.001). Conclusions It was proved that the recombinant protein is feasible as a diagnostic antigen to distinguish ASFV and provides a new idea for ASFV antibody detection.
Databáze: Directory of Open Access Journals