Journal of Clinical Microbiology · 2010 · 169 citations · 32 references
Life SciencesInfectious DiseasesMicrobiologyBacteriologyDiagnostic MicrobiologyMass Spectrometric AnalysisBacterial IdentificationBiochemical IdentificationMass SpectrometryMicrobial IdentificationMycobacterial DiagnosticsPathogen DetectionMaldi-tof IdentificationMaldi-tof Mass SpectrometryMass Spectrometry-based IdentificationMass Spectrometry-based Microbial IdentificationMatrix-assisted Laser Desorption Ionization Time-of-flight Mass SpectrometryMatrix-assisted Laser Desorption/ionizationMatrix-assisted Laser Desorption/ionization Time-of-flight Mass SpectrometrySolid Culture Media
Mycobacterial identification is based on several methods: conventional biochemical tests that require several weeks for accurate identification, and molecular tools that are now routinely used. However, these techniques are expensive and time-consuming. In this study, an alternative method was developed using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). This approach allows a characteristic mass spectral fingerprint to be obtained from whole inactivated mycobacterial cells. We engineered a strategy based on specific profiles in order to identify the most clinically relevant species of mycobacteria. To validate the mycobacterial database, a total of 311 strains belonging to 31 distinct species and 4 species complexes grown in Löwenstein-Jensen (LJ) and liquid (mycobacterium growth indicator tube [MGIT]) media were analyzed. No extraction step was required. Correct identifications were obtained for 97% of strains from LJ and 77% from MGIT media. No misidentification was noted. Our results, based on a very simple protocol, suggest that this system may represent a serious alternative for clinical laboratories to identify mycobacterial species.
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Piseth Seng, Michel Drancourt, Frédérique Gouriet et al. · Clinical Infectious Diseases · 2009 · 1.9K citations
Suzanne Q. van Veen, Eric C. J. Claas, Ed J. Kuijper · Journal of Clinical Microbiology · 2010 · 656 citations · Full text