Rapid Identification of Mycobacterial Whole Cells in Solid and Liquid Culture Media by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry
Author(s) -
Aurélie Lotz,
Agnès Ferroni,
JeanLuc Béretti,
Brunhilde Dauphin,
Étienne Carbonnelle,
Hélène GuetRevillet,
Nicolas Véziris,
Béate Heym,
Vincent Jarlier,
JeanLouis Gaillard,
Catherine Pierre-Audigier,
Eric Frapy,
Patrick Berche,
Xavier Nassif,
Emmanuelle Bille
Publication year - 2010
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.01397-10
Subject(s) - mass spectrometry , chromatography , matrix (chemical analysis) , identification (biology) , matrix assisted laser desorption/ionization , mycobacterium , clinical microbiology , computational biology , desorption , sample preparation , chemistry , microbiology and biotechnology , biology , analytical chemistry (journal) , bacteria , genetics , botany , organic chemistry , adsorption
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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