Antimicrobial Susceptibility Testing for Colistin: Extended Application of Novel Quantitative and Morphologic Assay Using Scanning Electron Microscopy.


Journal

International journal of microbiology
ISSN: 1687-918X
Titre abrégé: Int J Microbiol
Pays: Egypt
ID NLM: 101516125

Informations de publication

Date de publication:
2024
Historique:
received: 15 01 2024
revised: 08 04 2024
accepted: 09 05 2024
medline: 3 6 2024
pubmed: 3 6 2024
entrez: 3 6 2024
Statut: epublish

Résumé

Colistin (Polymyxin E) has reemerged in the treatment of MDR Gram-negative infections. Traditional Colistin AST methods have long turnaround times and are cumbersome for routine use. We present a SEM-AST technique enabling rapid detection of Colistin resistance through direct observation of morphological and quantitative changes in bacteria exposed to Colistin. Forty-four Gram-negative reference organisms were chosen based on their Colistin susceptibility profiles. Bacterial suspensions of ∼10 We identified a significant drop in the percentage of viable organisms starting 30 minutes after exposure in susceptible strains, as compared to nonsignificant changes in resistant strains across all tested organisms. The killing effect of Colistin was best observed after 120 minutes of incubation with the antibiotic, with significant changes in morphologic features, including bacterial inflation, fusion, and lysis, observed as early as 30 minutes. Our observation matched the results of the gold standard-based broth microdilution method. We provide an extended application of the proof of concept for the utilization of the SEM-AST assay for Colistin for a number of clinically relevant bacterial species, providing a rapid and reliable susceptibility profile for a critical antibiotic.

Sections du résumé

Background UNASSIGNED
Colistin (Polymyxin E) has reemerged in the treatment of MDR Gram-negative infections. Traditional Colistin AST methods have long turnaround times and are cumbersome for routine use. We present a SEM-AST technique enabling rapid detection of Colistin resistance through direct observation of morphological and quantitative changes in bacteria exposed to Colistin.
Methods UNASSIGNED
Forty-four Gram-negative reference organisms were chosen based on their Colistin susceptibility profiles. Bacterial suspensions of ∼10
Results UNASSIGNED
We identified a significant drop in the percentage of viable organisms starting 30 minutes after exposure in susceptible strains, as compared to nonsignificant changes in resistant strains across all tested organisms. The killing effect of Colistin was best observed after 120 minutes of incubation with the antibiotic, with significant changes in morphologic features, including bacterial inflation, fusion, and lysis, observed as early as 30 minutes. Our observation matched the results of the gold standard-based broth microdilution method.
Conclusions UNASSIGNED
We provide an extended application of the proof of concept for the utilization of the SEM-AST assay for Colistin for a number of clinically relevant bacterial species, providing a rapid and reliable susceptibility profile for a critical antibiotic.

Identifiants

pubmed: 38827502
doi: 10.1155/2024/8917136
pmc: PMC11144066
doi:

Types de publication

Journal Article

Langues

eng

Pagination

8917136

Informations de copyright

Copyright © 2024 Omar Zmerli et al.

Déclaration de conflit d'intérêts

The authors would like to declare that DR was a consultant in microbiology for Hitachi High-Tech Corporation from March 2018 until March 2021. YO is employed by Hitachi High-Tech Corporation. AH and EM are employed by Hitachi, Ltd. Personal fees for GH, SB, and JBK are paid through a collaborative contract from the Hitachi High-Tech Corporation. OZ and RI declare no relevant competing interests. A patent application for this methodology is pending (PCT/FR2021/052468).

Auteurs

Omar Zmerli (O)

Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France.
Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.

Sara Bellali (S)

Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France.

Gabriel Haddad (G)

Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France.
Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.

Rim Iwaza (R)

Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France.
Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.

Akiko Hisada (A)

Hitachi, Ltd., Research & Development Group, Tokyo, Japan.

Erino Matsumoto (E)

Hitachi, Ltd., Research & Development Group, Tokyo, Japan.

Yusuke Ominami (Y)

Hitachi High-Tech Corporation, 882 Ichige, Hitachinaka-shi, Ibaraki-ken 312-8504, Japan.

Didier Raoult (D)

Consulting Infection Marseille, 16 Rue de Lorraine, Marseille, France.

Jacques Bou Khalil (J)

Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France.
Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.

Classifications MeSH