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Detection of deep fungal infections: a polyphasic approach

2018-11-27Journal article Restricted access
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dc.contributor.authorSabino, Raquel
dc.contributor.authorSimões, Helena
dc.contributor.authorVeríssimo, Cristina
dc.date.accessioned2019-02-19T14:29:15Z
dc.date.available2019-02-19T14:29:15Z
dc.date.issued2018-11-27
dc.description.abstractPurpose: Tissue samples from patients with suspicion of deep or subcutaneous fungal infections were analysed at the Portuguese Reference Mycology Laboratory according to a proposed diagnostic approach, which aims to constitute a rapid and accurate diagnosis for these fungal infections. Methodology: Forty-six tissue biopsy samples were analysed over a period of 26 months, using a diagnostic approach that includes culture, panfungal PCR and Aspergillus-directed PCR. Results/Key findings: Overall, 23 samples were reported as negative while the remaining 23 were reported as positive for fungi (PCR, culture and/or histology). PCR showed an estimated detection limit of 12 pg DNA µl–1. From the 46 samples, 30 were negative for fungal DNA while 16 gave positive results. From these, 12 cases were detected by panfungal PCR and six cases by PCR directed toward Aspergillus. In 61 % of the cases, there was concordance between molecular and cultural methods. Aetiological agents identified were Candida albicans, C. glabrata, C. tropicalis, Trichosporon montevideense, Alternaria spp., Exophiala sp., Trichoderma sp., Histoplasma spp., Aspergillus fumigatus, Trichophyton rubrum and Paracoccidioides brasiliensis. Conclusion: Our results showed that the proposed polyphasic approach appears to be a useful strategy in the detection of fungi from tissue samples, allowing a better prognosis. In further studies, the inclusion of a higher number of samples and the implementation of more genus-specific PCRs will certainly contribute to an increase in the specificity and sensitivity of this method.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJ Med Microbiol. 2019 Jan;68(1):81-86. doi: 10.1099/jmm.0.000883. Epub 2018 Nov 27.pt_PT
dc.identifier.doi10.1099/jmm.0.000883pt_PT
dc.identifier.issn0022-2615
dc.identifier.urihttp://hdl.handle.net/10400.18/5888
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMicrobiology Societypt_PT
dc.relation.publisherversionhttps://jmm.microbiologyresearch.org/content/journal/jmm/10.1099/jmm.0.000883#tab2pt_PT
dc.subjectTissue Samplespt_PT
dc.subjectFungipt_PT
dc.subjectFungal Infections Diagnosispt_PT
dc.subjectFungal Molecular Detectionpt_PT
dc.subjectPortugalpt_PT
dc.subjectInfecções Sistémicas e Zoonosespt_PT
dc.titleDetection of deep fungal infections: a polyphasic approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage86pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage81pt_PT
oaire.citation.titleJournal of Medical Microbiologypt_PT
oaire.citation.volume68pt_PT
rcaap.rightsembargoedAccesspt_PT
rcaap.typearticlept_PT

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