Antimicrobial Resistance and Extended-Spectrum Beta-Lactamase Genes in Enterobacterales , Pseudomonas and Acinetobacter Isolates from the Uterus of Healthy Mares.
Pamela ThomsonPatricia GarcíaCamila Del RíoRodrigo CastroAndrea NúñezCarolina MirandaPublished in: Pathogens (Basel, Switzerland) (2023)
Antibiotic-resistant bacteria are a growing concern for human and animal health. The objective of this study was to determine the antimicrobial resistance and extended-spectrum beta-lactamase genes in Enterobacterales , Pseudomonas spp. and Acinetobacter spp. isolates from the uterus of healthy mares. For this purpose, 21 mares were swabbed for samples, which were later seeded on blood agar and MacConkey agar. The isolates were identified using MALDI-TOF and the antimicrobial susceptibility test was performed using the Kirby-Bauer technique. To characterize the resistance genes, a polymerase chain reaction (PCR) scheme was performed. Of the isolates identified as Gram-negative, 68.8% were Enterobacterales , represented by E. coli , Enterobacter cloacae , Citrobacter spp., and Klebsiella pneumoniae ; 28.1% belonged to the genus Acinetobacter spp.; and 3.1% to Pseudomonas aeruginosa . A 9.3% of the isolates were multidrug-resistant (MDR), presenting resistance to antibiotics from three different classes, while 18.8% presented resistance to two or more classes of different antibiotics. The diversity of three genes that code for ESBL ( bla TEM , bla CTX-M and bla SHV ) was detected in 12.5% of the strains. The most frequent was bla SHV , while bla TEM and bla CTX-M were present in Citrobacter spp. and Klebsiella pneumoniae . These results are an alarm call for veterinarians and their environment and suggest taking measures to prevent the spread of these microorganisms.
Keyphrases
- klebsiella pneumoniae
- multidrug resistant
- acinetobacter baumannii
- antimicrobial resistance
- gram negative
- drug resistant
- escherichia coli
- genome wide
- pseudomonas aeruginosa
- genome wide identification
- mass spectrometry
- bioinformatics analysis
- healthcare
- public health
- genetic diversity
- biofilm formation
- endothelial cells
- genome wide analysis
- social media
- gene expression
- health information
- risk assessment
- climate change
- transcription factor
- pluripotent stem cells