Candida clinical species identification : molecular and biochemical methods

Detalhes bibliográficos
Autor(a) principal: Costa, A. R.
Data de Publicação: 2010
Outros Autores: Silva, F., Henriques, Mariana, Azeredo, Joana, Oliveira, Rosário, Faustino, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/11212
Resumo: In the last decade, the number and diversity of nosocomial Candida infections has increased significantly, resulting in an emergent need for rapid and accurate methods for Candida identification. Therefore, the aim of this study was to evaluate the performance of three biochemical systems (Auxacolor, ID32C, and Vitek 2 YST) for the identification of Candida species, comparing them with molecular identification (polymerase chain reaction and gel agarose electrophoresis). These methods were used to assess Candida spp. (229 clinical isolates) prevalence and distribution among clinical specimens. The biochemical methods with higher percentages of correct identification were Vitek 2 YST (79.6%) and Auxacolor (78.6%). However, overall the biochemical methods assayed differed from the molecular identification. Thus, due to their rapid and precise identification, molecular methods are promising techniques for Candida species identification in clinical laboratories. Candida albicans and Non Candida albicans Candida species had a similar prevalence (50.4 and 49.6%, respectively), corroborating the epidemiological shift observed for these pathogens in the recent years.
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spelling Candida clinical species identification : molecular and biochemical methodsCandida speciesDiscriminating potentialPCRVitek 2 YSTAuxacolorID32CScience & TechnologyIn the last decade, the number and diversity of nosocomial Candida infections has increased significantly, resulting in an emergent need for rapid and accurate methods for Candida identification. Therefore, the aim of this study was to evaluate the performance of three biochemical systems (Auxacolor, ID32C, and Vitek 2 YST) for the identification of Candida species, comparing them with molecular identification (polymerase chain reaction and gel agarose electrophoresis). These methods were used to assess Candida spp. (229 clinical isolates) prevalence and distribution among clinical specimens. The biochemical methods with higher percentages of correct identification were Vitek 2 YST (79.6%) and Auxacolor (78.6%). However, overall the biochemical methods assayed differed from the molecular identification. Thus, due to their rapid and precise identification, molecular methods are promising techniques for Candida species identification in clinical laboratories. Candida albicans and Non Candida albicans Candida species had a similar prevalence (50.4 and 49.6%, respectively), corroborating the epidemiological shift observed for these pathogens in the recent years.Springer VerlagUniversidade do MinhoCosta, A. R.Silva, F.Henriques, MarianaAzeredo, JoanaOliveira, RosárioFaustino, A.20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/11212eng"Annals of Microbiology". ISSN 1590-4261. 60:1 (2010) 105-112.1590-426110.1007/s13213-009-0007-6info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:36:40Zoai:repositorium.sdum.uminho.pt:1822/11212Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:32:48.805373Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Candida clinical species identification : molecular and biochemical methods
title Candida clinical species identification : molecular and biochemical methods
spellingShingle Candida clinical species identification : molecular and biochemical methods
Costa, A. R.
Candida species
Discriminating potential
PCR
Vitek 2 YST
Auxacolor
ID32C
Science & Technology
title_short Candida clinical species identification : molecular and biochemical methods
title_full Candida clinical species identification : molecular and biochemical methods
title_fullStr Candida clinical species identification : molecular and biochemical methods
title_full_unstemmed Candida clinical species identification : molecular and biochemical methods
title_sort Candida clinical species identification : molecular and biochemical methods
author Costa, A. R.
author_facet Costa, A. R.
Silva, F.
Henriques, Mariana
Azeredo, Joana
Oliveira, Rosário
Faustino, A.
author_role author
author2 Silva, F.
Henriques, Mariana
Azeredo, Joana
Oliveira, Rosário
Faustino, A.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Costa, A. R.
Silva, F.
Henriques, Mariana
Azeredo, Joana
Oliveira, Rosário
Faustino, A.
dc.subject.por.fl_str_mv Candida species
Discriminating potential
PCR
Vitek 2 YST
Auxacolor
ID32C
Science & Technology
topic Candida species
Discriminating potential
PCR
Vitek 2 YST
Auxacolor
ID32C
Science & Technology
description In the last decade, the number and diversity of nosocomial Candida infections has increased significantly, resulting in an emergent need for rapid and accurate methods for Candida identification. Therefore, the aim of this study was to evaluate the performance of three biochemical systems (Auxacolor, ID32C, and Vitek 2 YST) for the identification of Candida species, comparing them with molecular identification (polymerase chain reaction and gel agarose electrophoresis). These methods were used to assess Candida spp. (229 clinical isolates) prevalence and distribution among clinical specimens. The biochemical methods with higher percentages of correct identification were Vitek 2 YST (79.6%) and Auxacolor (78.6%). However, overall the biochemical methods assayed differed from the molecular identification. Thus, due to their rapid and precise identification, molecular methods are promising techniques for Candida species identification in clinical laboratories. Candida albicans and Non Candida albicans Candida species had a similar prevalence (50.4 and 49.6%, respectively), corroborating the epidemiological shift observed for these pathogens in the recent years.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/11212
url http://hdl.handle.net/1822/11212
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv "Annals of Microbiology". ISSN 1590-4261. 60:1 (2010) 105-112.
1590-4261
10.1007/s13213-009-0007-6
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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