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A Tandem Liquid Chromatography–Mass Spectrometry-based Approach for Metabolite Analysis of Staphylococcus aureus
Published on: March 28, 2017
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Does biomass production correlate with metabolic activity in Staphylococcus aureus?
Beatriz Alonso1, José Lucio2, María Jesús Pérez-Granda3
1Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Journal of Microbiological Methods
|October 26, 2016
Summary
The crystal violet and XTT assays showed low agreement in classifying Staphylococcus aureus biofilm production. Simultaneous assessment of biomass and metabolic activity is crucial for accurate classification in bacteremic patients.
Area of Science:
- Microbiology
- Clinical Science
Background:
- Biofilm production in Staphylococcus aureus is a significant factor in bacteremic infections.
- Accurate classification of biofilm-forming strains is essential for understanding pathogenesis and treatment strategies.
Purpose of the Study:
- To evaluate the agreement between the crystal violet binding assay and the XTT assay for classifying biofilm production in Staphylococcus aureus.
- To determine the necessity of simultaneous assessment of biomass and metabolic activity for reliable biofilm classification.
Main Methods:
- Analysis of 492 Staphylococcus aureus strains isolated from patients with bacteremia.
- Comparison of biofilm classification results obtained from crystal violet binding assay and XTT assay.
Main Results:
- The overall correlation between the crystal violet binding assay and the XTT assay was found to be 46.5%.
- This indicates a substantial disagreement in classifying biofilm production between the two methods.
Conclusions:
- The crystal violet binding assay and the XTT assay demonstrate poor agreement in classifying Staphylococcus aureus biofilm production.
- Simultaneous assessment of both biomass production (e.g., via crystal violet) and metabolic activity (e.g., via XTT) is recommended for accurate strain classification.
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