Single-cell scattering and auto-fluorescence-based fast antibiotic susceptibility testing for gram-negative and
Sophie Dixneuf1, Anne-Coline Chareire-Kleiberg2, Pierre Mahé3
1BIOASTER Technology Research Institute, Lyon, France.
Frontiers in Microbiology
|August 21, 2023
Summary
This study introduces a rapid, label-free method for antimicrobial susceptibility testing (AST) using flow cytometry. It accurately determines bacterial susceptibility to antibiotics in under 2 hours by analyzing light scattering and auto-fluorescence.
Area of Science:
- Microbiology
- Biophysics
- Analytical Chemistry
Background:
- Antimicrobial susceptibility testing (AST) is crucial for guiding antibiotic treatment.
- Current AST methods can be time-consuming, delaying effective patient care.
- Label-free techniques offer potential for faster, more efficient diagnostics.
Purpose of the Study:
- To develop a fast (<2 hours), label-free phenotypic antimicrobial susceptibility testing (AST) method.
- To assess the utility of single bacterial cell light scattering and auto-fluorescence for AST.
- To differentiate between susceptible and resistant bacterial phenotypes.
Main Methods:
- Label-free flow cytometry was employed to monitor bacterial auto-fluorescence (FAD, NADH) and light scattering.
- Single bacterial cells (Escherichia coli, Staphylococcus epidermidis) were incubated with antibiotics (aminoglycosides, beta-lactams).
- Dimensionality reduction techniques (PCA, one-class SVM) were used for data analysis and phenotype prediction.
Main Results:
- The label-free flow cytometry approach demonstrated feasibility for AST in under 2 hours.
- Single-cell auto-fluorescence provided added value for phenotyping compared to scattering alone.
- This method showed particular effectiveness for identifying resistant Staphylococcus strains (mecA+) treated with oxacillin.
Conclusions:
- Label-free flow cytometry is a viable method for rapid phenotypic AST.
- Combining light scattering and auto-fluorescence enhances the accuracy of bacterial susceptibility determination.
- This technique has significant potential for improving antibiotic stewardship and patient outcomes.
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