Antimicrobial Resistance, Genetic Lineages, and Biofilm Formation in Pseudomonas aeruginosa Isolated from Human Infections: An Emerging One Health Concern.
Adriana SilvaVanessa SilvaMaría LópezBeatriz Rojo-BezaresJosé António CarvalhoAna Paula CastroYolanda SaénzGilberto IgrejasPatrícia PoetaPublished in: Antibiotics (Basel, Switzerland) (2023)
Pseudomonas aeruginosa ( PA ) is a leading nosocomial pathogen and has great versatility due to a complex interplay between antimicrobial resistance and virulence factors. PA has also turned into one the most relevant model organisms for the study of biofilm-associated infections. The objective of the study focused on analyzing the antimicrobial susceptibility, resistance genes, virulence factors, and biofilm formation ability of thirty-two isolates of PA. PA isolates were characterized by the following analyses: susceptibility to 12 antimicrobial agents, the presence of resistance genes and virulence factors in PCR assays, and the quantification of biofilm production as evaluated by two distinct assays. Selected PA isolates were analyzed through multilocus sequence typing (MLST). Thirty PA isolates have a multi-resistant phenotype, and most of the isolates showed high levels of resistance to the tested antibiotics. Carbapenems showed the highest prevalence of resistance. Various virulence factors were detected and, for the quantification of biofilm production, the effectiveness of different methods was assessed. The microtiter plate method showed the highest accuracy and reproducibility for detecting biofilm-producing bacteria. MLST revealed four distinct sequence types (STs) in clinical PA , with three of them considered high-risk clones of PA , namely ST175, ST235, and ST244. These clones are associated with multidrug resistance and are prevalent in hospitals worldwide. Overall, the study highlights the high prevalence of antibiotic resistance, the presence of carbapenemase genes, the diversity of virulence factors, and the importance of biofilm formation in PA clinical isolates. Understanding these factors is crucial for effective infection control measures and the development of targeted treatment strategies.
Keyphrases
- biofilm formation
- pseudomonas aeruginosa
- staphylococcus aureus
- antimicrobial resistance
- candida albicans
- acinetobacter baumannii
- cystic fibrosis
- escherichia coli
- genetic diversity
- genome wide
- healthcare
- endothelial cells
- single cell
- public health
- drug delivery
- klebsiella pneumoniae
- risk assessment
- bioinformatics analysis
- climate change
- drug resistant
- mental health
- systematic review
- transcription factor