Artículo

Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina

Monteserin, Johana Icon; Paul, Roxana Elizabeth ; López, Beatriz Graciela ; Cnockaert, M. ; Tortoli, E ; Méndez, C. ; García, M. J. ; Palomino, Juan Carlos ; Vandamme, P. ; Ritacco, Gloria Viviana Icon; Martin, A.

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Fecha

09/2016

Editorial

International Union Against Tuberculosis and Lung Disease

Revista

International Journal of Tuberculosis and Lung Disease

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

1027-3719

eISSN

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

SETTING: Over 150 potentially pathogenic non-tuberculous mycobacteria (NTM) species have been described, posing an onerous challenge for clinical laboratory diagnosis. OBJECTIVE: To evaluate different approaches for the identification of 40 clinically relevant NTM isolates whose species were not reliably identified using our routine diagnostic workflow comprising phenotypic tests and hsp65 polymerase chain reaction restriction analysis. DESIGN: We used 1) sequencing analysis of four conserved gene targets: 16S rRNA, rpoB, hsp65 and sodA; 2) two commercial reverse hybridisation assays; and 3) protein analysis using matrix-assisted laser desorption/ionisation time of flight mass spectrometry (MALDI-TOF MS). RESULTS: Combined, but not individual, sequence analysis allowed reliable species identification for 30/ 40 (75%) isolates, including species previously unknown to be circulating in Argentina. Commercial kits outperformed our routine identification in only 5/35 isolates, and misclassified many more. MALDI-TOF MS accurately identified species in 22/36 (61%) isolates and did not misidentify any. CONCLUSIONS: Commercial kits did not resolve the problem of species of NTM isolates that elude identification. Combined DNA sequence analysis was the approach of choice. MALDI-TOF MS shows promise as a powerful, rapid and accessible tool for the rapid identification of clinically relevant NTM in the diagnostic laboratory, and its accuracy can be maximised by building up a customised NTM spectrum database.

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