Diagnostic study demonstrates rapid multiplex detection of nine respiratory pathogens in feline clinical specimens, indicating improved surveillance and targeted veterinary care.
Pathogen infections and coinfections are critical determinants of feline upper respiratory tract disease; although the etiologic agents are diverse, their clinical manifestations often overlap. Established detection panels for feline upper respiratory tract infections (FURTIs) primarily focus on core pathogens—feline calicivirus (FCV), felid alphaherpesvirus 1 (FeAHV1), Mycoplasmopsis felis (MF), Chlamydia felis (CF), Bordetella bronchiseptica (BB), and influenza A virus (IAV)—and frequently do not incorporate emerging zoonotic agents (e.g., SARS-CoV-2) and overlooked streptococcal species ( Streptococcus equi subsp. zooepidemicus [SEZ] and S. canis [SC]) in a multiplex assay. Furthermore, simultaneous quantification remains technically challenging. We developed an integrated multiplex reverse-transcription PCR (RT-PCR)/PCR–capillary electrophoresis (CE) platform for simultaneous quantitative detection of 9 feline respiratory pathogens (FCV, FeAHV1, MF, CF, BB, IAV, SARS-CoV-2, SEZ, SC). Requiring only a standard thermal cycler and a basic CE instrument, our platform is highly accessible to resource-limited laboratories, offering high specificity and a 1.6-h turnaround time. With a limit of detection of 1 copy/µL across all targets, our multiplex assay had exceptional sensitivity, surpassing conventional singleplex RT-PCR/PCR on both agarose gel and real-time PCR platforms. Notably, we achieved a 2.2-fold higher detection rate than the conventional gold standard (singleplex RT-PCR/PCR with agarose gel). This enhanced sensitivity enabled us to identify even low-pathogen–load samples, often missed by conventional assays. When used with clinical specimens, the platform offered comprehensive coverage of major and emerging zoonotic FURTI pathogens, confirming its potential as a cost-effective, high-efficiency tool for differential diagnosis, targeted therapy, and epidemiologic surveillance.
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Chen et al. (2026) studied this question.
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