| Literature DB >> 20943874 |
Aurélie Lotz1, Agnès Ferroni, Jean-Luc Beretti, Brunhilde Dauphin, Etienne Carbonnelle, Hélène Guet-Revillet, Nicolas Veziris, Béate Heym, Vincent Jarlier, Jean-Louis Gaillard, Catherine Pierre-Audigier, Eric Frapy, Patrick Berche, Xavier Nassif, Emmanuelle Bille.
Abstract
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.Mesh:
Year: 2010 PMID: 20943874 PMCID: PMC3008439 DOI: 10.1128/JCM.01397-10
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948