Peer-reviewed veterinary case report
Faster RNA testing method for detecting pet infections
By Shao, Dongyan et al.·Published in BMC veterinary research·2026·College of Veterinary Medicine, China·View original on PubMed →
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Original publication title: Improved RNA-based metagenomic sequencing for rapid pathogen detection in pets.
- Species:
- cat
Plain-English summary
A new testing method called metagenomic transcriptomics next-generation sequencing (mtNGS) has been developed to quickly identify germs causing illnesses in pets. This technology was tested on various samples from dogs, cats, and parrots, successfully detecting pathogens in all cases, including a cat with a zoonotic disease (a disease that can spread from animals to humans). The mtNGS method is particularly useful when traditional tests fail or when multiple infections are suspected. This advancement could greatly improve how veterinarians diagnose and treat complex diseases in pets.
People also search for: cat illness rapid testing · dog infection diagnosis · pet pathogen detection · zoonotic disease in cats · new veterinary diagnostic tools
Abstract
UNLABELLED: In veterinary medicine, particularly in pet clinics, the accurate and rapid detection of pathogens is crucial for effective disease diagnosis and treatment. Traditional diagnostic methods are often time-consuming and fall short in identifying a broad spectrum of pathogens. The newly developed metagenomic transcriptomics next-generation sequencing (mtNGS) technology is a promising tool for the rapid detecting RNA- and DNA-based pathogens. However, its application in pet clinics has been limited due to high costs, complex operational procedures, and the absence of unified protocols. Here we established a standardized mtNGS workflow for pathogen detection tailored to various clinical sample types from pets. This workflow involves the extraction of total RNA without rRNA depletion and sequencing using Illumina platforms. It also incorporates Bowtie2 to eliminate host genome sequences and MetaPhlAn3 to identify microbial compositions. Our mtNGS technology was evaluated in 16 diverse clinical cases involving body fluids, fecal samples, nasopharyngeal swabs, and tissue samples from dogs, cats, and parrots. Notably, it detected pathogens in all cases, including an identification ofin a cat, highlighting its utility in diagnosing zoonotic diseases. These results, corroborated by traditional techniques, demonstrate that the mtNGS-based diagnostic approach is particularly advantageous in cases where conventional diagnostics are insufficient or when multiple co-infections are suspected. This method exhibits potential in diagnosing complex clinical diseases that are challenging to identify using traditional techniques, thus representing a promising tool and can be widely applied in veterinary diagnostics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12917-025-05174-0.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/41526915/