ArticleMolecular biology reports2026
Genetic diversity, detection of virulence genes and high prevalence of bla
Article in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundMolecular characterization of local Pseudomonas aeruginosa (P. aeruginosa) isolates offers valuable insights into strain clonality, resistance mechanisms, and virulence factors linked to nosocomial infections. This study aims to examine resistance patterns, the prevalence of four clinically relevant metallo-β-lactamase (MBL) gene families, virulence gene profiles, and the genetic diversity among local isolates.
methodsBetween March 2022 and March 2024, clinical isolates of P. aeruginosa were collected and identified using standard phenotypic methods, with confirmation achieved through targeting the gyrB gene. Antimicrobial susceptibility testing was conducted via the disc diffusion method. PCR assays were performed to detect carbapenemase genes (blaVIM, blaNDM1, blaIMP, blaSPM, blaKPC, blaOXA-48, and blaOXA-181) and virulence genes. Genotyping of P. aeruginosa was executed using random amplified polymorphic DNA (RAPD)-PCR analysis.
resultsA total of 154 unique clinical isolates of P. aeruginosa were collected from various specimen types, primarily from respiratory and wound samples. Resistance rates were alarmingly high for all tested antimicrobial agents, exceeding 76% for most antibiotics. The frequencies of the blaIMP and blaNDM1 genes were found to be 59.7% and 10.4%, respectively. Additionally, the frequencies of the toxA, exoU, and exoS genes were 97.4%, 78.6%, and 18.8%, respectively. RAPD-PCR analysis revealed twelve distinct clusters.
conclusionThe high prevalence of multidrug-resistant P. aeruginosa, along with the widespread presence of metallo-beta-lactamase (MBL) and virulence genes, highlights the risk of severe clinical outcomes in hospital-acquired infections. Molecular typing reveals genetic diversity and clonal relationships, underscoring the importance of continuous molecular surveillance to inform effective infection control measures and targeted treatment strategies.
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