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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
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Semi-quantitative MALDI-TOF for antimicrobial susceptibility testing in Staphylococcus aureus.
Tucker Maxson1, Cheryl L Taylor-Howell1, Timothy D Minogue1
1Diagnostic Systems Division, United States Army Medical Research Institute of Infectious Disease, Fort Detrick, Maryland, United States of America.
Plos One
|September 1, 2017
Summary
Rapidly identifying antibiotic resistance in Staphylococcus aureus is crucial for effective treatment. A new semi-quantitative MALDI-TOF MS method accurately determined resistance profiles within 3 hours from positive blood cultures.
Area of Science:
- Clinical microbiology
- Infectious diseases
- Mass spectrometry
Background:
- Antibiotic-resistant bacterial infections pose a significant healthcare challenge, necessitating rapid and accurate diagnostic tools.
- Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) is a standard for species identification and is adaptable for antimicrobial susceptibility testing.
Purpose of the Study:
- To evaluate a semi-quantitative MALDI-TOF MS method for determining antimicrobial resistance profiles in Staphylococcus aureus.
- To assess the assay's accuracy and speed in identifying resistance to four key antibiotics.
Main Methods:
- Optimization and testing of a semi-quantitative MALDI-TOF MS assay using 35 strains of Staphylococcus aureus.
- Evaluation of the method's performance on mock blood cultures to determine species identification and resistance profiles.
Main Results:
- The optimized MALDI-TOF MS assay achieved an overall accuracy rate of 95% for Staphylococcus aureus resistance determination.
- The assay successfully identified species and determined resistance to four antibiotics within 3 hours of blood culture positivity.
Conclusions:
- Semi-quantitative MALDI-TOF MS is a viable and accurate method for rapid antimicrobial susceptibility testing of Staphylococcus aureus.
- This approach offers a significant advancement for timely clinical decision-making in managing resistant bacterial infections.

