Diagnostic testing

spotlight topic:
Diagnostic testing

Published 1 February 2022 | Updated 17 May 2022

  • Pulido, J. et al (2022) Receptor-binding domain–based immunoassays for serosurveillance differentiate efficiently between SARS-CoV2–exposed and non-exposed farmed mink. Journal of Veterinary Diagnostic Investigation, 34 (2), pp 190-198. https://doi.org/10.1177%2F10406387211057859
  • Hagag, I.T. et al (2021) Impact of animal saliva on the performance of rapid antigen tests for detection of SARS-CoV-2 (wildtype and variants B. 1.1. 7 and B. 1.351). Veterinary Microbiology, 262, p. 109243. https://doi.org/10.1016/j.vetmic.2021.109243

This experimental study reports that while saliva from various animal species (bats, ferrets, cats, sheep, goats, and cattle) showed no adverse effects on the rapid antigen tests (RATs) ability to detect SARS Co V 2, the detection of VOCs B.1.1.7 and B.1.351 was in some RATs inferior to non-VOC viruses. Despite this the authors conclude that RATs can be recommended as a point-of-care surveillance tool for SARS-CoV-2 infections in these species. However, the tests should be checked beforehand for their suitability to equally detect VOCs B.1.1.7 and B.1.351

  • Pulido, J. et al (2021) Receptor-binding domain–based immunoassays for serosurveillance differentiate efficiently between SARS-CoV2–exposed and non-exposed farmed mink. Journal of Veterinary Diagnostic Investigation https://doi.org/10.1177%2F10406387211057859

This paper reports on the development and testing of ELISAs and a duplex protein microarray immunoassay (MI) to detect SARS-CoV2 antibodies specific to the receptor-binding domain (RBD) of the spike protein and to the full-length nucleoprotein (N) in mink sera. The authors concluded that RBD was the optimal antigenic target for sero-surveillance of mink farms.

0 replies

Leave a Reply

Want to join the discussion?
Feel free to contribute!

Leave a Reply

Your email address will not be published. Required fields are marked *

*

This site uses Akismet to reduce spam. Learn how your comment data is processed.