Automated highly multiplex detection system for respiratory pathogens in canines.

Area of Science:

• Veterinary Medicine
• Molecular Diagnostics
• Infectious Disease

Background:

• Canine infectious respiratory diseases (CIRDs) present non-specific clinical signs, complicating pathogen identification.
• Early and accurate diagnosis of CIRDs is vital to prevent severe complications and outbreaks.
• Differentiating viral and bacterial causes guides appropriate treatment and prevents antibiotic misuse.

Purpose of the Study:

• To develop a novel, automated multiple molecular assay for canine respiratory pathogens.
• To utilize a nested polymerase chain reaction (PCR) method for broad pathogen coverage.
• To cover 14 common canine respiratory pathogens with 15 gene targets.

Main Methods:

• Developed primers and probes for a nested PCR protocol.
• Designed assay parameters for an automated detection system.
• Rigorously validated the developed molecular assay.

Main Results:

• The assay demonstrated high analytical sensitivity and specificity.
• Results from the automated system correlated with conventional laboratory methods.
• The assay enables rapid, multiplex detection of canine respiratory pathogens.

Conclusions:

• The developed assay provides a reliable tool for diagnosing CIRDs.
• Potential exists for extending the assay to other mammalian species for broader surveillance.
• Application can enhance animal infection surveillance and mitigate zoonotic risks.