Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/50372

TítuloAnalysis of clinical and environmental Candida parapsilosis isolates by microsatellite genotyping – a tool for hospital infections surveillance
Autor(es)Sabino, Raquel
Sampaio, Paula
Rosado, Laura
Videira, Zélia
Grenouillet, Frederic
Pais, Célia
Palavras-chaveCandida parapsilosis
Healthcare workers
Hospital air and surfaces
Microsatellite genotyping
Nosocomial infections
Data2015
EditoraElsevier 1
RevistaClinical Microbiology and Infection
Resumo(s)Candida parapsilosis emerged as an important opportunistic pathogen, causing candidaemia worldwide. Nosocomial outbreaks triggered by this species have been frequently described, particularly in cancer patients. For a better understanding of its epidemiology, several typing methods are used and microsatellite analysis has been reported as highly discriminant. The main objective of this work was to study C. parapsilosis isolates by application of microsatellite genotyping to distinguish epidemiologically related strains, compare clinical and environmental isolates and determine possible routes of dispersion of the isolates in the hospital setting. A total of 129 C. parapsilosis isolates from different origins, including hospital environment and hands of healthcare workers, were genotyped using four microsatellite markers. The isolates were recovered from different health institutions. Analysis of C. parapsilosis isolates from hospital environment showed great genotypic diversity; however, the same or very similar genotypes were also found. The same multilocus genotype was shared by isolates recovered from the hand of a healthcare worker, from the hospital environment and from patients of the same healthcare institution, suggesting that these could be possible routes of transmission and that infections due to C. parapsilosis may be mainly related with exogenous transmission to the patient. Examination of sequential isolates from the same patients showed that colonizing and bloodstream isolates had the same multilocus genotype in the majority of cases. We demonstrate that this typing method is able to distinguish clonal clusters from genetically unrelated genotypes and can be a valuable tool to support epidemiologic investigations in the hospital setting.
TipoArtigo
URIhttps://hdl.handle.net/1822/50372
DOI10.1016/j.cmi.2015.06.001
ISSN1198-743X
e-ISSN1469-0691
Arbitragem científicayes
AcessoAcesso aberto
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