High rates of CTX-M group-1 extended-spectrum β-lactamases producing Escherichia coli from pets and their owners in Faisalabad, Pakistan

PURPOSE: Pet animals have been considered a potential carrier of clinically important multi-drug-resistant Escherichia coli. However, little is known about the role of pets as reservoirs of extended-spectrum β-lactamase (ESBL) producing E. coli in Pakistan. This study was designed to determine the prevalence and genetic relatedness of ESBL-producing multidrug-resistant E. coli in pets, their owners, and veterinary professionals. METHODS: A total of 105 fecal samples were collected from dogs, cats, their owners, and veterinary professionals from veterinary clinics. Isolates of ESBL-producing E. coli were subjected to antimicrobial susceptibility testing. The presence of bla(CTX-M) genes and CTX-M groups I and II in multidrug-resistant E. coli was detected using PCR. Clonal diversity was checked using BOX-PCR. RESULTS: Of the 105 fecal samples screened, 73 (69.5%) were found to contain ESBL-producing E. coli. The percentage of ESBL-producing E. coli isolates in dogs and dog owners was found to be 81.8% (18/22) and 59% (13/22), respectively. In cats, this percentage was 73.9% (17/23) and in cat owners, 56.5% (13/23). Furthermore, 80% (12/15) of E. coli isolates in veterinary professionals were ESBL producers. Of these 73 ESBL-producing E. coli isolates, 23 isolates exhibited a multidrug-resistant phenotype. The most prevalent multidrug-resistant pattern (17.4%) identified was resistant to ampicillin, cefotaxime, ciprofloxacin, and nitrofurantoin. In the multidrug-resistant E. coli, bla(CTX-M) was identified as the most common ESBL-producing genotype (19/23), with bla(CTX-M-1) dominating in all 19 isolates. Furthermore, BOX-PCR analysis exhibited genetically diverse clonal groups among isolates of the CTX-M-1 group. CONCLUSION: Our results provide important baseline information on the potential burden of multidrug-resistant E. coli among companion animals in Pakistan. Further studies are needed to understand the drivers of antimicrobial resistance at human–animal–environmental intersections.