Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
- Autores
- Oderiz, Sebastián; Palau, María J.; del Palacio, Paula; Lewis, Miriam C.; Bettiol, Marisa Paula; Martina, Pablo F.; Bosch, María Alejandra; Gatti, Blanca Maria
- Año de publicación
- 2011
- Idioma
- español castellano
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection
for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium - complexity clinical diagnostic laboratories.
Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium-complexity clinical diagnostic laboratories.
Fil: Oderiz, Sebastián. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Palau, María J.. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: del Palacio, Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Lewis, Miriam C.. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Bettiol, Marisa Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Martina, Pablo F.. No especifíca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina
Fil: Bosch, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina
Fil: Gatti, Blanca Maria. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina - Materia
-
Burkholderia cepacia complex
cystic fibrosis
PCR, recA gene,
VITEK2 compact, API 20NE - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/183267
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Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicasEvaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples.Oderiz, SebastiánPalau, María J.del Palacio, PaulaLewis, Miriam C.Bettiol, Marisa PaulaMartina, Pablo F.Bosch, María AlejandraGatti, Blanca MariaBurkholderia cepacia complexcystic fibrosisPCR, recA gene,VITEK2 compact, API 20NEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection<br />for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium - complexity clinical diagnostic laboratories.Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium-complexity clinical diagnostic laboratories.Fil: Oderiz, Sebastián. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: Palau, María J.. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: del Palacio, Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: Lewis, Miriam C.. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: Bettiol, Marisa Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: Martina, Pablo F.. No especifíca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; ArgentinaFil: Bosch, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; ArgentinaFil: Gatti, Blanca Maria. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaAsociación Argentina de Microbiología2011-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/183267Oderiz, Sebastián; Palau, María J.; del Palacio, Paula; Lewis, Miriam C. ; Bettiol, Marisa Paula; et al.; Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas; Asociación Argentina de Microbiología; Revista Argentina de Microbiología; 43; 5-2011; 168-1750325-75411851-7617CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S0325-75412011000300002info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:55Zoai:ri.conicet.gov.ar:11336/183267instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:04:56.217CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. |
title |
Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas |
spellingShingle |
Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas Oderiz, Sebastián Burkholderia cepacia complex cystic fibrosis PCR, recA gene, VITEK2 compact, API 20NE |
title_short |
Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas |
title_full |
Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas |
title_fullStr |
Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas |
title_full_unstemmed |
Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas |
title_sort |
Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas |
dc.creator.none.fl_str_mv |
Oderiz, Sebastián Palau, María J. del Palacio, Paula Lewis, Miriam C. Bettiol, Marisa Paula Martina, Pablo F. Bosch, María Alejandra Gatti, Blanca Maria |
author |
Oderiz, Sebastián |
author_facet |
Oderiz, Sebastián Palau, María J. del Palacio, Paula Lewis, Miriam C. Bettiol, Marisa Paula Martina, Pablo F. Bosch, María Alejandra Gatti, Blanca Maria |
author_role |
author |
author2 |
Palau, María J. del Palacio, Paula Lewis, Miriam C. Bettiol, Marisa Paula Martina, Pablo F. Bosch, María Alejandra Gatti, Blanca Maria |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
Burkholderia cepacia complex cystic fibrosis PCR, recA gene, VITEK2 compact, API 20NE |
topic |
Burkholderia cepacia complex cystic fibrosis PCR, recA gene, VITEK2 compact, API 20NE |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection<br />for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium - complexity clinical diagnostic laboratories. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium-complexity clinical diagnostic laboratories. Fil: Oderiz, Sebastián. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina Fil: Palau, María J.. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina Fil: del Palacio, Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina Fil: Lewis, Miriam C.. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina Fil: Bettiol, Marisa Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina Fil: Martina, Pablo F.. No especifíca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina Fil: Bosch, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina Fil: Gatti, Blanca Maria. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina |
description |
Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection<br />for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium - complexity clinical diagnostic laboratories. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/183267 Oderiz, Sebastián; Palau, María J.; del Palacio, Paula; Lewis, Miriam C. ; Bettiol, Marisa Paula; et al.; Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas; Asociación Argentina de Microbiología; Revista Argentina de Microbiología; 43; 5-2011; 168-175 0325-7541 1851-7617 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/183267 |
identifier_str_mv |
Oderiz, Sebastián; Palau, María J.; del Palacio, Paula; Lewis, Miriam C. ; Bettiol, Marisa Paula; et al.; Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas; Asociación Argentina de Microbiología; Revista Argentina de Microbiología; 43; 5-2011; 168-175 0325-7541 1851-7617 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S0325-75412011000300002 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Asociación Argentina de Microbiología |
publisher.none.fl_str_mv |
Asociación Argentina de Microbiología |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842269881687343104 |
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13.13397 |