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

Autores
Monteserin, Johana; Paul, Roxana; López, Beatriz; Cnockaert, M; Tortoli, Enrico; Menéndez, C; García, M J; Palomino, Juan Carlos; Vandamme, P; Ritacco, V; San Martín, A
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Monteserin, Johana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
Fil: Paul, Roxana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
Fil: Lopez, Beatriz. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
Fil: Cnockaert, M. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.
Fil: Tortoli, Enrico. Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute; Italia.
Fil: Menéndez, C. Universidad Autónoma de Madrid. Facultad de Medicina. Departamento de Medicina Preventiva; España.
Fil: García, M. J. Universidad Autónoma de Madrid. Facultad de Medicina. Departamento de Medicina Preventiva; España.
Fil: Palomino, Juan Carlos. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.
Fil: Vandamme, P. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.
Fil: Ritacco, V. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
Fil: Martin, A. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.
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.
Materia
Micobacterias no Tuberculosas
ARN Ribosómico 16S
Infecciones por Mycobacterium no Tuberculosas
Nivel de accesibilidad
acceso abierto
Condiciones de uso
none
Repositorio
Sistema de Gestión del Conocimiento ANLIS MALBRÁN
Institución
Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
OAI Identificador
oai:sgc.anlis.gob.ar:123456789/2277

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repository_id_str a
network_name_str Sistema de Gestión del Conocimiento ANLIS MALBRÁN
spelling Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in ArgentinaMonteserin, JohanaPaul, RoxanaLópez, BeatrizCnockaert, MTortoli, EnricoMenéndez, CGarcía, M JPalomino, Juan CarlosVandamme, PRitacco, VSan Martín, AMicobacterias no TuberculosasARN Ribosómico 16SInfecciones por Mycobacterium no TuberculosasFil: Monteserin, Johana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.Fil: Paul, Roxana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.Fil: Lopez, Beatriz. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.Fil: Cnockaert, M. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.Fil: Tortoli, Enrico. Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute; Italia.Fil: Menéndez, C. Universidad Autónoma de Madrid. Facultad de Medicina. Departamento de Medicina Preventiva; España.Fil: García, M. J. Universidad Autónoma de Madrid. Facultad de Medicina. Departamento de Medicina Preventiva; España.Fil: Palomino, Juan Carlos. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.Fil: Vandamme, P. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.Fil: Ritacco, V. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.Fil: Martin, A. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.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.2016info:ar-repo/semantics/articuloinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://sgc.anlis.gob.ar/handle/123456789/227710.5588/ijtld.16.0122The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Diseasenoneinfo:eu-repo/semantics/openAccessengreponame:Sistema de Gestión del Conocimiento ANLIS MALBRÁNinstname:Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"instacron:ANLIS2025-09-04T11:18:28Zoai:sgc.anlis.gob.ar:123456789/2277Institucionalhttp://sgc.anlis.gob.ar/Organismo científico-tecnológicoNo correspondehttp://sgc.anlis.gob.ar/oai/biblioteca@anlis.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-09-04 11:18:29.213Sistema de Gestión del Conocimiento ANLIS MALBRÁN - Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"false
dc.title.none.fl_str_mv Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina
title Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina
spellingShingle Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina
Monteserin, Johana
Micobacterias no Tuberculosas
ARN Ribosómico 16S
Infecciones por Mycobacterium no Tuberculosas
title_short Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina
title_full Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina
title_fullStr Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina
title_full_unstemmed Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina
title_sort Combined approach to the identification of clinically infrequent non-tuberculous mycobacteria in Argentina
dc.creator.none.fl_str_mv Monteserin, Johana
Paul, Roxana
López, Beatriz
Cnockaert, M
Tortoli, Enrico
Menéndez, C
García, M J
Palomino, Juan Carlos
Vandamme, P
Ritacco, V
San Martín, A
author Monteserin, Johana
author_facet Monteserin, Johana
Paul, Roxana
López, Beatriz
Cnockaert, M
Tortoli, Enrico
Menéndez, C
García, M J
Palomino, Juan Carlos
Vandamme, P
Ritacco, V
San Martín, A
author_role author
author2 Paul, Roxana
López, Beatriz
Cnockaert, M
Tortoli, Enrico
Menéndez, C
García, M J
Palomino, Juan Carlos
Vandamme, P
Ritacco, V
San Martín, A
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Micobacterias no Tuberculosas
ARN Ribosómico 16S
Infecciones por Mycobacterium no Tuberculosas
topic Micobacterias no Tuberculosas
ARN Ribosómico 16S
Infecciones por Mycobacterium no Tuberculosas
dc.description.none.fl_txt_mv Fil: Monteserin, Johana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
Fil: Paul, Roxana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
Fil: Lopez, Beatriz. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
Fil: Cnockaert, M. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.
Fil: Tortoli, Enrico. Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute; Italia.
Fil: Menéndez, C. Universidad Autónoma de Madrid. Facultad de Medicina. Departamento de Medicina Preventiva; España.
Fil: García, M. J. Universidad Autónoma de Madrid. Facultad de Medicina. Departamento de Medicina Preventiva; España.
Fil: Palomino, Juan Carlos. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.
Fil: Vandamme, P. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.
Fil: Ritacco, V. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
Fil: Martin, A. University Ghent. Department of Biochemistry and Microbiology. Laboratory of Microbiology; Belgica.
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.
description Fil: Monteserin, Johana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:ar-repo/semantics/articulo
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sgc.anlis.gob.ar/handle/123456789/2277
10.5588/ijtld.16.0122
url http://sgc.anlis.gob.ar/handle/123456789/2277
identifier_str_mv 10.5588/ijtld.16.0122
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
dc.rights.none.fl_str_mv none
info:eu-repo/semantics/openAccess
rights_invalid_str_mv none
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Sistema de Gestión del Conocimiento ANLIS MALBRÁN
instname:Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
instacron:ANLIS
reponame_str Sistema de Gestión del Conocimiento ANLIS MALBRÁN
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instname_str Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
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institution ANLIS
repository.name.fl_str_mv Sistema de Gestión del Conocimiento ANLIS MALBRÁN - Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
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