Antibiotic Resistance Detection in Pseudomonas aeruginosa: Recent Strategies, Advances, and Challenges

Abstract

Antibiotic resistance presents a worldwide public health emergency, impeding the effective management of infectious diseases. Pseudomonas aeruginosa plays a substantial role as a bacterial pathogen, particularly in infections among hospitalized individuals, and those with weakened immune systems. Timely and accurate detection of antimicrobial resistance in P. aeruginosa is crucial for initiating tailored antibiotic therapy promptly, thus improving patient outcomes. Nevertheless, this endeavor encounters challenges due to the intricate and varied nature of antibiotic‐resistant strains. Extensive efforts have been invested in developing sensors and instrumentations for assessing antibiotic resistance or susceptibility (AST), aiming to enable personalized patient treatment with appropriate medications. This paper focuses on recent advancements in these methodologies, utilized for evaluating the degree of antibiotic resistance or susceptibility inpathogenic bacteria. Flow cytometry, dual molecular recognition and mass spectrometry are presented as newer phenotypic AST techniques. Genomic methods and the pyocyanin detection are listed as methodologies for the detection of resistance indicators.