| Autor: |
Jewell M; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA., Fuhrmeister ER; Department of Environmental and Occupational Health, School of Public Health, University of Washington, 3980 15th Ave NE, Seattle, WA 98195, USA.; Department of Civil and Environmental Engineering, University of Washington, 3760 E. Stevens Way NE, Seattle, WA 98195, USA., Roberts MC; Department of Environmental and Occupational Health, School of Public Health, University of Washington, 3980 15th Ave NE, Seattle, WA 98195, USA., Weissman SJ; Division of Infectious Disease, Seattle Children's Hospital, Seattle, WA 98105, USA., Rabinowitz PM; Department of Environmental and Occupational Health, School of Public Health, University of Washington, 3980 15th Ave NE, Seattle, WA 98195, USA.; Center for One Health Research, University of Washington, 3980 15th Ave NE, Seattle, WA 98195, USA., Hawes SE; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA. |
| Abstrakt: |
Antimicrobial resistance (AMR) is a global health problem stemming from the use of antibiotics in humans, animals, and the environment. This study used whole-genome sequencing (WGS) of E. coli to explore patterns of AMR across sectors in Washington State, USA (WA). The WGS data from 1449 E. coli isolates were evaluated for isolation source (humans, animals, food, or the environment) and the presence of antibiotic resistance genes (ARGs). We performed sequence typing using PubMLST and used ResFinder to identify ARGs. We categorized isolates as being pan-susceptible, resistant, or multidrug-resistant (MDR), defined as carrying resistance genes for at least three or more antimicrobial drug classes. In total, 60% of isolates were pan-susceptible, while 18% were resistant, and 22% exhibited MDR. The proportion of resistant isolates varied significantly according to the source of the isolates ( p < 0.001). The greatest resistance was detected in isolates from humans and then animals, while environmental isolates showed the least resistance. This study demonstrates the feasibility of comparing AMR across various sectors in Washington using WGS and a One Health approach. Such analysis can complement other efforts for AMR surveillance and potentially lead to targeted interventions and monitoring activities to reduce the overall burden of AMR. |
