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Antimicrobial susceptibility testing for Gram positive cocci towards vancomycin using scanning electron microscopy.
Sara Bellali1, Gabriel Haddad1,2, Rim Iwaza1,2
1Institut Hospitalo-Universitaire Méditerranée Infection, Marseille 13385, France.
Current Research in Microbial Sciences
|August 1, 2022
Summary
Rapidly detect antibiotic resistance in bacteria using scanning electron microscopy (SEM). This new method analyzes bacterial cell division within an hour, aiding antibiotic stewardship and combating nosocomial infections.
Area of Science:
- Microbiology
- Microscopy
- Infectious Diseases
Background:
- Rapid detection of antibiotic-resistant bacteria is crucial for effective treatment and antibiotic stewardship.
- Nosocomial infections caused by resistant pathogens necessitate advanced antimicrobial susceptibility testing (AST).
Purpose of the Study:
- To establish a proof-of-concept for a novel phenotypic AST strategy using scanning electron microscopy (SEM).
- To evaluate SEM for rapid detection of vancomycin resistance in Gram-positive cocci.
Main Methods:
- Phenotypic AST was performed on *Enterococcus faecalis*, *Enterococcus faecium*, and *Staphylococcus aureus* isolates.
- Scanning electron microscopy (SEM) was optimized for analyzing ultrastructural modifications after short vancomycin exposure.
- Two analytical strategies involving high and low magnification micrographs were employed to assess bacterial morphology and quantify changes.
Main Results:
- Susceptible strains showed reduced septation and increased cell size compared to controls.
- Resistant strains exhibited multiple septa formation at later timepoints.
- SEM analysis successfully discriminated between vancomycin-susceptible and resistant cocci within one hour.
Conclusions:
- SEM offers a promising new phenotypic AST strategy for rapid vancomycin resistance detection in Gram-positive cocci.
- The developed analytical strategies can potentially be integrated with AI for automated SEM-AST assays.
- This approach can significantly improve antibiotic stewardship and patient outcomes by enabling faster treatment decisions.

