A Sensitive and Specific Competitive Enzyme-Linked Immunosorbent Assay for Serodiagnosis of COVID-19 in Animals

Autor: Susanna K. P. Lau, Zirong He, Chi-Ching Tsang, Tony T. Y. Chan, Hayes K. H. Luk, Elaine Chan, Kenneth S. M. Li, Joshua Fung, Franklin W. N. Chow, Anthony R. Tam, Tom W. H. Chung, Sally C. Y. Wong, Tak-Lun Que, Kitty S. C. Fung, David C. Lung, Alan K. L. Wu, Ivan F. N. Hung, Jade L. L. Teng, Ulrich Wernery, Suk-Wai Hui, Paolo Martelli, Patrick C. Y. Woo
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Microorganisms, Vol 9, Iss 5, p 1019 (2021)
Druh dokumentu: article
ISSN: 2076-2607
DOI: 10.3390/microorganisms9051019
Popis: In addition to human cases, cases of COVID-19 in captive animals and pets are increasingly reported. This raises the concern for two-way COVID-19 transmission between humans and animals. Here, we developed a SARS-CoV-2 nucleocapsid protein-based competitive enzyme-linked immunosorbent assay (cELISA) for serodiagnosis of COVID-19 which can theoretically be used in virtually all kinds of animals. We used 187 serum samples from patients with/without COVID-19, laboratory animals immunized with inactive SARS-CoV-2 virions, COVID-19-negative animals, and animals seropositive to other betacoronaviruses. A cut-off percent inhibition value of 22.345% was determined and the analytical sensitivity and specificity were found to be 1:64–1:256 and 93.9%, respectively. Evaluation on its diagnostic performance using 155 serum samples from COVID-19-negative animals and COVID-19 human patients showed a diagnostic sensitivity and specificity of 80.8% and 100%, respectively. The cELISA can be incorporated into routine blood testing of farmed/captive animals for COVID-19 surveillance.
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