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Identification of <i>Staphylococcus </i>a<i>ureus</i> and Determination of Its Methicillin Resistance by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry
184
Citations
13
References
2002
Year
Biological Mass SpectrometryStaphylococcus AureusAntibiotic ResistanceDrug ResistanceBioanalysisAnalytical ChemistryBiostatisticsInfection ControlAntimicrobial ResistanceBiochemistryMethicillin ResistanceClinical MicrobiologySpectral ProfilesAntimicrobial Resistance GeneAntimicrobial SusceptibilityNatural SciencesMass SpectrometryProtein Mass SpectrometryMicrobiologyMedicineS. AureusDrug Analysis
To evaluate the performance of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) in identifying Staphylococcus aureus and in determining its methicillin resistance, we analyzed 76 S. aureus clinical isolates using a linear MALDI-TOF MS. Spectral profile data obtained were compared with the database provided with the instrument, and 74% of the isolates were identified as S. aureus, as confirmed by a nuc-based PCR test. The determination of the methicillin resistance in S. aureus is based on the fact that the spectral profiles of methicillin-susceptible S. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) differ greatly from each other. Replicate spectral profiles obtained from each isolate were combined to be a representative spectrum of it, and representative spectral profiles from all the isolates constitute a user's self-established database. All the spectral profiles in the database were classified into two groups based on clustering analysis, and one is for MSSA and another MRSA. There was a little discrepancy between the results from MALDI-TOF MS and from PCR. Seven isolates that are negative for the mecA gene by PCR were identified as MRSA by MALDI-TOF MS. The discrepancy may be partially explained by the heterogeneous nature of methicillin resistance in S. aureus. Our results suggested that comparison of MALDI-TOF MS spectral profiles of microorganism could serve as a simple and rapid method for bacterial identification and antibiotic susceptibility analysis.
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