Robustness of the ferret model for influenza risk assessment studies: a cross-laboratory exercise [article]

Jessica A Belser, Eric HY Lau, Wendy Barclay, Ian G. Barr, Hualan Chen, Ron AM Fouchier, Masato Hatta, Sander Herfst, Yoshihiro Kawaoka, Seema S Lakdawala, Leo Yi Yang Lee, Gabriele Neumann (+36 others)
2022 bioRxiv   pre-print
Ferrets represent the preferred animal model for assessing the transmission potential of newly emerged zoonotic influenza viruses. However, heterogeneity among established experimental protocols and facilities across different laboratories may lead to variable results, complicating interpretation of transmission experimental data. Between 2018-2020, a global exercise was conducted by 11 participating laboratories to assess the range of variation in ferret transmission experiments using two
more » ... n stock H1N1 influenza viruses that possess different transmission characteristics in ferrets. Inoculation route, dose, and volume were standardized, and all participating laboratories followed the same experimental conditions for respiratory droplet transmission, including a strict 1:1 donor:contact ratio. Additional host and environmental parameters likely to affect influenza transmission kinetics were monitored throughout. Overall transmission outcomes for both viruses across 11 laboratories were concordant, suggesting the robustness of the ferret model for zoonotic influenza risk assessment. To attain high confidence in identifying zoonotic influenza viruses with moderate-to-high or low transmissibility, our analyses support that as few as three but as many as five laboratories, respectively, would need to independently perform viral transmission experiments with concordant results. This exercise facilitates the development of a more homogenous protocol for ferret transmission experiments that are employed for the purposes of risk assessment.
doi:10.1101/2022.04.02.486825 fatcat:gu4tcqw6xbd6jp2wvn6qhcodty