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
- Institución
- Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
- OAI Identificador
- oai:sgc.anlis.gob.ar:123456789/2277
Ver los metadatos del registro completo
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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 |
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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 |
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Sistema de Gestión del Conocimiento ANLIS MALBRÁN |
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Sistema de Gestión del Conocimiento ANLIS MALBRÁN |
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Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán" |
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Sistema de Gestión del Conocimiento ANLIS MALBRÁN - Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán" |
repository.mail.fl_str_mv |
biblioteca@anlis.gov.ar |
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12.623145 |