{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T22:22:57Z","timestamp":1792102977534,"version":"4.4.0"},"reference-count":71,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Vet. Sci."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>This cross-sectional observational study aimed to determine the antimicrobial susceptibility profiles of <jats:italic>Escherichia coli<\/jats:italic> isolates from domestic pigeons (Columba livia domestica) in Hungary.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A total of 134 non-redundant isolates were obtained from oropharyngeal and cloacal swabs collected across multiple geographic regions. Antimicrobial susceptibility testing was conducted using the microdilution method, following Clinical and Laboratory Standards Institute (CLSI) guidelines. Minimum inhibitory concentration (MIC) values were determined for a panel of antibiotics relevant to both veterinary and human medicine. Resistance patterns were analyzed using statistical tools including hierarchical clustering, network graph analysis, decision tree modeling, and Monte Carlo simulation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Multidrug-resistant (MDR) strains constituted 65.7% of the total, while extensive drug-resistant (XDR) and pan-drug-resistant (PDR) strains were found in 4.5% and 1.5% of isolates, respectively. The highest resistance rates were observed for neomycin (76.1%) and florfenicol (72.4%), whereas ceftriaxone and imipenem showed the lowest resistance rates (0.7% and 1.5%). Correlation analysis indicated notable associations between resistance to neomycin, doxycycline, and florfenicol, suggesting potential cross-resistance mechanisms. Monte Carlo simulation estimated an average MDR prevalence of 64.4% (95% CI: 50.0\u201377.6%). The high prevalence of antimicrobial resistance among pigeon-derived <jats:italic>E. coli<\/jats:italic> isolates underscores the potential public health risks posed by avian reservoirs within the One Health context.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>These findings highlight the need for enhanced AMR surveillance and responsible antibiotic stewardship in veterinary settings. Further molecular investigations are warranted to elucidate the genetic basis of resistance in this population.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fvets.2025.1642902","type":"journal-article","created":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T08:36:16Z","timestamp":1757666176000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Antimicrobial susceptibility profiles of Escherichia coli isolates from domestic pigeons in Hungary"],"prefix":"10.3389","volume":"12","author":[{"given":"\u00c1d\u00e1m","family":"Kerek","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c1bel","family":"Szab\u00f3","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c1kos","family":"Jerzsele","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,9,12]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1159\/000087453","article-title":"From Atoxyl to Salvarsan: searching for the magic bullet","volume":"51","author":"Riethmiller","year":"2005","journal-title":"Chemotherapy"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1016\/j.arcmed.2005.06.009","article-title":"Resistance to antibiotics: are we in the post-antibiotic era?","volume":"36","author":"Alanis","year":"2005","journal-title":"Arch Med Res"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.mib.2019.10.008","article-title":"Antibiotics: past, present and future","volume":"51","author":"Hutchings","year":"2019","journal-title":"Curr Opin Microbiol"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1093\/emph\/eou024","article-title":"Antibiotic resistance management","volume":"2014","author":"Read","year":"2014","journal-title":"Evol Med Public Health"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1590\/S1517-83822014005000033","article-title":"An overview of antimicrobial resistance and its public health significance","volume":"45","author":"Balsalobre","year":"2014","journal-title":"Braz J Microbiol"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"96","DOI":"10.3109\/03009734.2014.901445","article-title":"Antibiotic resistance\u2014consequences for animal health, welfare, and food production","volume":"119","author":"Bengtsson","year":"2014","journal-title":"Ups J Med Sci"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"419","DOI":"10.56385\/magyallorv.2023.07.419-438","article-title":"Antibacterial therapy based on pharmacokinetic\/ pharmacodynamic models in small animal medicine-1. 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