Evaluation of the Ability to Form Biofilms in KPC-Producing and ESBL-Producing Klebsiella pneumoniae Isolated from Clinical Samples.
Carolina SabençaEliana CostaSara SousaLillian BarrosAna OliveiraSónia RamosGilberto IgrejasCarmen TorresPatrícia PoetaPublished in: Antibiotics (Basel, Switzerland) (2023)
The appearance of Klebsiella pneumoniae strains producing extended-spectrum β-lactamase (ESBL), and carbapenemase (KPC) has turned into a significant public health issue. ESBL- and KPC-producing K. pneumoniae 's ability to form biofilms is a significant concern as it can promote the spread of antibiotic resistance and prolong infections in healthcare facilities. A total of 45 K. pneumoniae strains were isolated from human infections. Antibiograms were performed for 17 antibiotics, ESBL production was tested by Etest ESBL PM/PML, a rapid test was used to detect KPC carbapenemases, and resistance genes were detected by PCR. Biofilm production was detected by the microtiter plate method. A total of 73% of multidrug resistance was found, with the highest resistance rates to ampicillin, trimethoprim-sulfamethoxazole, cefotaxime, amoxicillin-clavulanic acid, and aztreonam. Simultaneously, the most effective antibiotics were tetracycline and amikacin. bla CTX-M , bla TEM , bla SHV , aac(3)-II , aadA1 , tetA , cmlA , catA , gyrA , gyrB , parC , sul1 , sul2 , sul3 , bla KPC , bla OXA , and bla PER genes were detected. Biofilm production showed that 80% of K. pneumoniae strains were biofilm producers. Most ESBL- and KPC-producing isolates were weak biofilm producers (40.0% and 60.0%, respectively). There was no correlation between the ability to form stronger biofilms and the presence of ESBL and KPC enzymes in K. pneumoniae isolates.
Keyphrases
- klebsiella pneumoniae
- escherichia coli
- candida albicans
- multidrug resistant
- biofilm formation
- pseudomonas aeruginosa
- staphylococcus aureus
- public health
- healthcare
- endothelial cells
- drug resistant
- respiratory tract
- acinetobacter baumannii
- air pollution
- cystic fibrosis
- risk assessment
- gene expression
- genetic diversity
- health insurance
- social media
- dna methylation
- bioinformatics analysis
- genome wide analysis