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Analysis of fungal burden by conventional and molecular methods in different settings and matrices: implications for public and occupational health

2017-03Conference object Open access
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dc.contributor.authorGomes, Anita Quintal
dc.contributor.authorFaria, Tiago
dc.contributor.authorCaetano, Liliana Aranha
dc.contributor.authorCarolino, Elisabete
dc.contributor.authorViegas, Susana
dc.contributor.authorViegas, Carla
dc.date.accessioned2018-02-27T15:52:03Z
dc.date.available2018-02-27T15:52:03Z
dc.date.issued2017-03
dc.description.abstractFungal burden has traditionally been detected by conventional culture analysis. This method allows the identification and quantification of organisms posing high health/occupational risk and is widely used by the scientific community. The fungal burden determined by culture analysis can, in most studies, be compared with legal and scientific guidelines allowing an estimation of the degree of severity of the exposure. However, this method is limited by several factors, including incubation conditions such as the incubation time, which can be very long for some species, thus preventing a quick assessment of fungal burden. Another limiting factor is competition between species: clinically relevant species might possess lower growth rates than other non-toxic fast growing fungi thus hampering their detection. These limitations can be overcome by the use of quantitative real-time PCR (qPCR). This method, based on the amplification of genomic regions specific to certain fungal species, increases sensitivity, allowing the specific detection of a given species and removing interference by other species present in the sample. qPCR also allows the detection of dormant forms of fungi, such as spores. Thus the ideal scenario is to use these the two methods in parallel, as they complement each other to provide useful information for the assessment of exposure to fungi. We briefly describe several studies where both methods were used to detect the presence of toxigenic fungi, namely Aspergillus, particularly from the Fumigati, Flavi and Circumdati sections. These include fungal analysis from different matrices such as air, feed and coffee and within different settings, including wastewater treatment plants, slaughterhouses, feed industries, poultry and swine pavilions. The results obtained with both conventional and molecular methods are compared and discussed as well as its implications for the exposed workers' health.pt_PT
dc.description.versioninfo:eu-repo/semantics/draftpt_PT
dc.identifier.citationGomes AQ, Faria T, Aranha L, Carolino E, Viegas S, Viegas C. Analysis of fungal burden by conventional and molecular methods in different settings and matrices: implications for public and occupational health. In: Reunião Internacional da Rede Académica das Ciências da Saúde da Comunidade dos Países de Língua Portuguesa (RACS), ESTeSL (Portugal), 30 de março a 1 de abril de 2017.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/8145
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttp://racscplp.org/programa/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectOccupational healthpt_PT
dc.subjectOccupational exposurept_PT
dc.subjectPublic healthpt_PT
dc.subjectFungal burdenpt_PT
dc.titleAnalysis of fungal burden by conventional and molecular methods in different settings and matrices: implications for public and occupational healthpt_PT
dc.typeconference object
dspace.entity.typePublication
person.familyNameCarolino
person.familyNameViegas
person.familyNameViegas
person.givenNameElisabete
person.givenNameSusana
person.givenNameCarla
person.identifier248817
person.identifier.ciencia-id1216-EFA3-1E0F
person.identifier.ciencia-idA919-7318-63DC
person.identifier.ciencia-idEE1E-C639-D70F
person.identifier.orcid0000-0003-4165-7052
person.identifier.orcid0000-0003-1015-8760
person.identifier.orcid0000-0002-1545-6479
person.identifier.ridF-1012-2015
person.identifier.ridI-4053-2012
person.identifier.ridB-7217-2013
person.identifier.scopus-author-id25821697000
person.identifier.scopus-author-id35270591500
person.identifier.scopus-author-id55443609700
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication77930d39-ed34-44dc-a4a6-9bf833e5e688
relation.isAuthorOfPublication13115332-43f7-4048-a8a5-2f2b855a8c92
relation.isAuthorOfPublicationb5fa5da4-50c3-4b88-ae20-1bc63cb485f7
relation.isAuthorOfPublication.latestForDiscovery77930d39-ed34-44dc-a4a6-9bf833e5e688

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