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Scent dogs identify SARS-CoV-2-infections in respiratory samples from experimentally infected ferrets and hamsters—a pilot study
- Source :
- Frontiers in Medicine, Vol 11 (2024)
- Publication Year :
- 2024
- Publisher :
- Frontiers Media S.A., 2024.
-
Abstract
- Rapid and sensitive diagnostic measures are a pre-requisite for the control of SARS-CoV-2 outbreaks. Dogs detect SARS-CoV-2-infected human individuals with high speed due to their extraordinary olfactory acuity. In the post-pandemic phase of SARS-CoV-2 it is difficult to obtain samples from infected humans for scent dog training. Established animal models for COVID-19 include hamsters and ferrets, which could overcome this shortcoming and have the advantage that samples are generated under controlled conditions. Respiratory samples from humans, hamsters and ferrets infected with SARS-CoV-2 and from ferrets infected with an H7-Influenza A virus were inactivated with β-propiolactone and presented via a device called “Detection Dog Training System” (DDTS). DDTS allows a fast, blinded, randomized, and automated sample presentation without trainer interference. Scent dogs generally showed a similar diagnostic sensitivity (DSe) and specificity (Dsp) for four tested scenarios (S1-4) and as reported previously for respiratory samples from humans. (S1) Human with COVID-19: DSe 88.1 [74.0–100.0% CI95%] and DSp 89.6 [80.6–98.5% CI95%]. (S2) Hamster with COVID-19: DSe 82.4 [74.1–90.7% CI95%] and DSp 96.7 [93.7–99.7% CI95%]. (S3) Ferret with COVID-19: DSe 86.2 [69.8–100.0% CI95%] and DSp 95.1 [89.5–100.0% CI95%]. (S4) Ferrets infected with an H7 Influenza A-virus (IAV) as a distractor: DSe 96.9 [57.2–100.0% CI95%] and DSp 89.86 [40.3–100.0% CI95%]. We provide evidence that scent dogs detect samples from SARS-CoV-2-infected hamsters and ferrets with a similar accuracy as reported for humans. The study highlights that volatile organic compound odor patterns are similar in humans, hamsters, and ferrets after SARS-CoV-2 infection, but distinct after IAV-infection.
Details
- Language :
- English
- ISSN :
- 2296858X
- Volume :
- 11
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Medicine
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.bc5c65643f5e4519a079301f813b2ce4
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fmed.2024.1476300