Carbapenemase genes in clinical and environmental isolates of Acinetobacter spp. from Quito, Ecuador.
Nicole SotomayorJosé Eduardo VillacisNoela BurneoJorge ReyesSonia ZapataRosa de Los Ángeles Bayas-ReaPublished in: PeerJ (2024)
Carbapenem-resistant Acinetobacter spp. is associated with nosocomial infections in intensive care unit patients, resulting in high mortality. Although Acinetobacter spp. represent a serious public health problem worldwide, there are a few studies related to the presence of carbapenemases in health care facilities and other environmental settings in Ecuador. The main aim of this study was to characterize the carbapenem-resistant Acinetobacter spp. isolates obtained from four hospitals (52) and from five rivers (27) close to Quito. We used the disc diffusion and EDTA sinergy tests to determine the antimicrobial susceptibility and the production of metallo β-lactamases, respectively. We carried out a multiplex PCR of gyrB gene and the sequencing of partial rpoB gene to bacterial species identification. We performed molecular screening of nine carbapenem-resistant genes ( bla SPM , bla SIM , bla GIM , bla GES , bla OXA-23 , bla OXA-24 , bla OXA-51 , bla OXA-58 , and bla OXA-143 ) by multiplex PCR, followed by identification using sequencing of bla OXA genes. Our findings showed that carbapenem-resistant A. baumannii were the main species found in health care facilities and rivers. Most of the clinical isolates came from respiratory tract samples and harbored bla OXA-23 , bla OXA-366 , bla OXA-72 , bla OXA-65 , bla OXA-70 , and bla OXA-143-like genes. The river isolates harbored only the bla OXA-51 and probably bla OXA-259 genes. We concluded that the most predominant type of carbapenem genes among isolates were both bla OXA-23 and bla OXA-65 among A. baumannii clinical isolates.
Keyphrases
- klebsiella pneumoniae
- multidrug resistant
- escherichia coli
- acinetobacter baumannii
- healthcare
- public health
- genome wide
- intensive care unit
- gram negative
- drug resistant
- bioinformatics analysis
- type diabetes
- dna methylation
- end stage renal disease
- genetic diversity
- chronic kidney disease
- coronary artery disease
- single cell
- high throughput
- newly diagnosed
- transcription factor
- risk assessment
- cystic fibrosis
- patient reported outcomes