Evaluation of MALDI Biotyper Mycobacteria Library v3.0 for Identification of Nontuberculous Mycobacteria

Belén Rodríguez-Sánchez; M Jesús Ruiz-Serrano; Adrián Ruiz; Markus Timke; Markus Kostrzewa; Emilio Bouza

doi:10.1128/JCM.02760-15

Evaluation of MALDI Biotyper Mycobacteria Library v3.0 for Identification of Nontuberculous Mycobacteria

J Clin Microbiol. 2016 Apr;54(4):1144-7. doi: 10.1128/JCM.02760-15. Epub 2016 Feb 3.

Authors

Belén Rodríguez-Sánchez¹, M Jesús Ruiz-Serrano², Adrián Ruiz³, Markus Timke⁴, Markus Kostrzewa⁴, Emilio Bouza⁵

Affiliations

¹ Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain CIBER de Enfermedades Respiratorias (CIBERES CB06/06/0058), Madrid, Spain Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain [email protected].
² Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain CIBER de Enfermedades Respiratorias (CIBERES CB06/06/0058), Madrid, Spain Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
³ Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
⁴ Bruker Daltonik GmbH, Bremen, Germany.
⁵ Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain CIBER de Enfermedades Respiratorias (CIBERES CB06/06/0058), Madrid, Spain Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain Medicine Department, School of Medicine, Universidad Complutense de Madrid, Madrid, Spain.

Abstract

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has demonstrated its ability to promptly identify nontuberculous mycobacteria using the Mycobacteria Library v2.0. However, some species are particularly difficult to identify reliably using this database, providing a low log(score). In this study, the identification power of an updated Mycobacteria Library (v3.0) has been evaluated. Overall, 109 NTM isolates were analyzed with both databases. The v3.0 database allowed a high-level confidence in the identification [log(score) value, ≥1.8] of 91.7% of the isolates versus 83.5% with the v2.0 version (P< 0.01).

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology / methods*
Databases as Topic*
Humans
Mycobacterium Infections, Nontuberculous / diagnosis*
Nontuberculous Mycobacteria / classification*
Nontuberculous Mycobacteria / isolation & purification*
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*

Grants and funding

The Miguel Servet Program is a governmental program to promote emerging scientists. This study was supported by the Miguel Servet Program CP14/00220, part of the Plan Estatal I+D+I 2013-2016, and cofinanced by ISCII-Subdirección General de Evaluación y Fomento de la Investigación and the European Regional Development Fund.