Antimicrobial resistance in and at human-animal interfaces on Chongming Island, Shanghai: A One Health perspective.

Antimicrobial resistance (AMR) is a significant concern within the One Health framework due to its ability to spread across multiple interfaces. Phenotypic data remains the primary type for AMR surveillance, but exploring association across multiple interfaces poses certain challenges. In this study, AMR phenotypic data of clinical and food animal and from Chongming Island over the past five years were analyzed to determine key characteristics of AMR and explore its association at the human-animal interface. The clinical isolates showed significant resistance to penicillins (83.92 %), cephems (63.05 %), fluoroquinolones (62.21 %), and tetracyclines (57.77 %), while exhibited high resistance to penicillinase-labile penicillins (90.89 %), macrolides (51.51 %), penicillinase-stable penicillins (43.96 %), and lincosamides (43.55 %). Extended-spectrum β-lactamase (ESBL)-producing isolates accounted for 53.26 % (1398/2526), while methicillin-resistant (MRSA) prevalence was 43.81 % (435/993). Notably, there has been an increase in the proportion of isolates resistant to 8 to 12 antimicrobial classes, and in the proportion of isolates resistant to 5 to 9 classes. Certain multi-drug resistance (MDR) phenotypes were first identified in food animal isolates and later emerged in clinical settings. Meanwhile, several MDR phenotypes were shared between the two interfaces, with 44 identified in and 12 in . Further co-occurrence analysis in and identified several co-occurrence phenotypic pairs or clusters, potentially mediated by a single plasmid or multiple plasmids within a bacterium, indicating potential associations at the human-animal interface. To summarize, a heightened prevalence of MDR in clinical and has been observed, with some MDR profiles appearing in food animals before emerging in clinical settings. The co-occurrence of phenotypic pairs or clusters underscores the potential for AMR association and transmission between humans and food animals. Within the One Health framework, integrating genomic data into AMR monitoring is a crucial next step.