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Algorithm to assess the presence of Aspergillus fumigatus resistant strains: The case of Norwegian sawmills

2020-08-19Journal article Restricted access
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dc.contributor.authorViegas, Carla
dc.contributor.authorAlmeida, Beatriz
dc.contributor.authorAranha Caetano, Liliana
dc.contributor.authorAfanou, Anani
dc.contributor.authorStraumfors, Anne
dc.contributor.authorVeríssimo, Cristina
dc.contributor.authorGonçalves, Paulo
dc.contributor.authorSabino, Raquel
dc.date.accessioned2021-03-09T16:09:30Z
dc.date.available2021-03-09T16:09:30Z
dc.date.issued2020-08-19
dc.description.abstractAssociation between selection pressure caused by the use of azole fungicides in sawmills and the development of fungal resistance has been described. The aim of this study was to implement an algorithm to assess the presence of Aspergillus section Fumigati resistant strains in sawmills. Eighty-six full-shift inhalable dust samples were collected from eleven industrial sawmills in Norway. Different culture media were used and molecular identification to species level in Aspergillus section Fumigati was done by calmodulin sequencing and TR34/L98H and TR46/Y121F/T289A mutations were screened by real-time PCR assay and confirmed by cyp51A sequencing. Six Fumigati isolates were identified as A. fumigatus sensu stricto and two of these grew on azole-supplemented media and were further analyzed by real-time PCR. One was confirmed to be a TR34/L98H mutant. The obtained results reinforce the need to assess the presence of A. fumigatus sensu stricto resistant isolates at other workplaces with fungicide pressure.pt_PT
dc.description.sponsorshipThis work was supported by the Research council of Norway [218232/H20]; Instituto Politécnico de Lisboa [IPL/ 2018/WasteFRPD_ESTeSL]; Fundação para Ciência e Tecnologia [02/SAICT/2016 – Project nº 23222]. H&TRC authors gratefully acknowledge the FCT/MCTES national support through the UIDB/05608/2020 and UIDP/05608/ 2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationInt J Environ Health Res. 2022 May;32(5):963-971. doi: 10.1080/09603123.2020.1810210. Epub 2020 Aug 19.pt_PT
dc.identifier.doi10.1080/09603123.2020.1810210pt_PT
dc.identifier.issn0960-3123
dc.identifier.urihttp://hdl.handle.net/10400.18/7376
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor and Francis/ International Federation of Environmental Healthpt_PT
dc.relationHealth and Technology Research Center
dc.relationHealth and Technology Research Center
dc.relation.publisherversionhttps://www.tandfonline.com/doi/abs/10.1080/09603123.2020.1810210?journalCode=cije20pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectSection Fumigatipt_PT
dc.subjectAspergillus fumigatus Resistant Isolatespt_PT
dc.subjectOccupational Exposurept_PT
dc.subjectCross-resistancept_PT
dc.subjectFungicide Pressurept_PT
dc.subjectInfecções Sistémicas e Zoonosespt_PT
dc.titleAlgorithm to assess the presence of Aspergillus fumigatus resistant strains: The case of Norwegian sawmillspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleHealth and Technology Research Center
oaire.awardTitleHealth and Technology Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05608%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05608%2F2020/PT
oaire.citation.endPage9pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Journal of Environmental Health Researchpt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofctAcesso de acordo com política editorial da revista.pt_PT
rcaap.rightsembargoedAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication875a9c35-558d-4af9-abf0-254eadf9819d
relation.isProjectOfPublicationc9a7f44a-b944-4ea0-a930-85b8e0b1bf1d
relation.isProjectOfPublication.latestForDiscovery875a9c35-558d-4af9-abf0-254eadf9819d

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