Automated antimicrobial susceptibility testing of slow-growing Pseudomonas aeruginosa strains in the presence of tetrazolium salt WST-1

Datar, Rucha; Perrin, Guillaume; Chalansonnet, Valérie; Perry, Audrey; Perry, John D.; Belkum, Alex van; Orenga, Sylvain

doi:10.1016/j.mimet.2021.106252

Cited by 2 publications

(4 citation statements)

References 24 publications

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“…[36] This AST process heavily relies on bacteria cell cultures, which are not always successful due to unsuitable culturing conditions for the bacterial species, especially for slow-growing P. aeruginosa mucoid strains. [37,38] It was observed by Yang and co-authors [39] that clinical samples from long-term infected patients grow two to threefold slower than the reference P. aeruginosa strains. It is suggested that the slowgrowing phenotype may be a common feature of prolonged CF airway colonization.…”

Section: Classical Methodsmentioning

confidence: 99%

“…The discrepancies in the results obtained from the various AST methods are more frequent when testing mucoid P. aeruginosa strains. [38] Given this drawback of these automated tests in P. aeruginosa, other analytical tools have been explored to improve phenotypic AST.…”

Section: Classical Methodsmentioning

confidence: 99%

“…The errors can be identified by comparing the MICs obtained by testing using automated technology such as Vitek 2 ® and the results obtained from the traditional culture‐based susceptibility testing assays such as E‐test or broth microdilution. The discrepancies in the results obtained from the various AST methods are more frequent when testing mucoid P. aeruginosa strains [38] . Given this drawback of these automated tests in P. aeruginosa , other analytical tools have been explored to improve phenotypic AST.…”

Section: Phenotypic Methodsmentioning

confidence: 99%

“…[19] Infections caused by P. aeruginosa are a threat to immunocompromised individuals, such as patients with cancer, post-surgery, severe burns, or are infected with the human immunodeficiency virus (HIV). [20,21] Furthermore, is the predominant bacterial pathogen in chronic pulmonary infection in patients with cystic fibrosis (CF), [22,23] an inherited disorder that causes severe damage to the lungs, digestive system, and other organs in the body. [24,25] In early childhood, patients with CF become chronically infected with wild-type P. aeruginosa strains.…”

Section: Introductionmentioning

confidence: 99%

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

Clarindo Lopes,

Koushanpour,

Wiebe

et al. 2024

Analysis & Sensing

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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.

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Section: Classical Methodsmentioning

confidence: 99%

Section: Classical Methodsmentioning

confidence: 99%

Section: Phenotypic Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Clarindo Lopes,

Koushanpour,

Wiebe

et al. 2024

Analysis & Sensing

View full text Add to dashboard Cite

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Recent Advances in Rapid Antimicrobial Susceptibility Testing

et al. 2021

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Background Antimicrobial susceptibility testing (AST) is classically performed using growth-based techniques that essentially require viable bacterial matter to become visible to the naked eye or a sophisticated densitometer. Content Technologies based on the measurement of bacterial density in suspension have evolved marginally in accuracy and rapidity over the 20th century, but assays expanded for new combinations of bacteria and antimicrobials have been automated, and made amenable to high-throughput turn-around. Over the past 25 years, elevated AST rapidity has been provided by nucleic acid-mediated amplification technologies, proteomic and other “omic” methodologies, and the use of next-generation sequencing. In rare cases, AST at the level of single-cell visualization was developed. This has not yet led to major changes in routine high-throughput clinical microbiological detection of antimicrobial resistance. Summary We here present a review of the new generation of methods and describe what is still urgently needed for their implementation in day-to-day management of the treatment of infectious diseases.

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Automated antimicrobial susceptibility testing of slow-growing Pseudomonas aeruginosa strains in the presence of tetrazolium salt WST-1

Cited by 2 publications

References 24 publications

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

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

Recent Advances in Rapid Antimicrobial Susceptibility Testing

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