Peer-reviewed veterinary case report
Antibiotic resistance patterns in bacteria from dogs and cats
By Castro, Alejandra et al.·Published in Frontiers in veterinary science·2026·School of Veterinary Medicine·View original on PubMed →
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Original publication title: Uncovering antimicrobial resistance structures inspp. from companion animals: latent class analysis of isolates from dogs.
- Species:
- dog
Plain-English summary
A study found that many dogs in Lima, Peru, are carrying bacteria that are resistant to common antibiotics, which can make treating skin and ear infections more difficult. Out of over 2,000 samples from dogs, nearly half showed multi-drug resistance, meaning they were resistant to multiple types of antibiotics. The researchers identified different patterns of resistance among the bacteria, which can help veterinarians choose the right treatment. This highlights the importance of monitoring antibiotic resistance in pets to ensure effective treatment options remain available.
People also search for: dog skin infection antibiotic resistance · why is my dog’s ear infected · treatment for resistant bacteria in dogs
Abstract
Antimicrobial resistance (AMR) in companion animals poses therapeutic challenges and potential zoonotic risks.spp., a leading cause of skin and ear infections in dogs and cats, shows high levels of resistance to different families of antibiotics. This study aimed to describe AMR patterns inspp. isolated from companion animals in Lima, Peru, and to identify latent resistance phenotypes among canine isolates using latent class analysis (LCA). We analyzed 2,159 isolates (2,035 from dogs and 124 from cats) collected between 2021 and 2024, assessing resistance to seven antimicrobial classes according to CLSI guidelines. High resistance was found against-lactams (99.7%), followed by sulfonamides (41.6%) and tetracyclines (38.5%), while glycopeptide resistance was rare (0.14%). Overall, MDR prevalence was 49.9%, reaching 52.5% in isolates from dogs. LCA applied to canine isolates identified four latent phenotypes: Phenotype 1 (50.3%) combined-lactam resistance with moderate resistance to macrolides, aminoglycosides, tetracyclines, and sulfonamides; Phenotype 2 (28.2%) showed-lactam resistance with low resistance to other classes; Phenotype 3 (13.6%) included isolates resistant to-lactams and fluoroquinolones; and Phenotype 4 (7.9%) displayed extensive resistance to-lactams, fluoroquinolones, and tetracyclines. LCA revealed hidden resistance structures beyond conventional MDR definitions, identifying subgroups with clinically relevant resistance combinations that may reduce antimicrobial effectiveness. These latent phenotypes have direct therapeutic relevance, as they reveal resistance patterns that may compromise empirical treatment choices in small animal practice. Overall, our findings highlight the need to strengthen AMR surveillance and antimicrobial stewardship within a One Health framework in veterinary medicine.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/41728117/