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A new method to predict genotoxic effects based on serum molecular profile

dc.contributor.authorAraújo, Rúben
dc.contributor.authorRamalhete, Luís
dc.contributor.authorPaz, Hélder
dc.contributor.authorLadeira, Carina
dc.contributor.authorCalado, Cecília
dc.date.accessioned2021-06-16T10:25:23Z
dc.date.available2021-06-16T10:25:23Z
dc.date.issued2021-07-05
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2020 do Instituto Politécnico de Lisboa. Código de referência IPL/2020/NephroMD/ISEL
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2018 do Instituto Politécnico de Lisboa. Código de referência IPL/2018/RENALPROG_ISEL
dc.description.abstractIt is critical to develop new methods to assess genotoxic effects in human biomonitoring since the conventional methods are usually laborious, time-consuming, and expensive. It is aimed to evaluate if the analysis of a drop of serum by Fourier Transform Infrared spectroscopy, allow to assess genotoxic effects in occupational exposure to cytostatic drugs in hospital professionals, as obtained by the lymphocyte cytokinesis-block micronucleus assay. It was considered peripheral blood from hospital professionals exposed to cytostatic drugs (n = 22) and from a non-exposed group (n = 36). It was observed that workers occupationally exposed presented a higher number of micronuclei (p < 0.05) in lymphocytes, in relation to the non-exposed group. The serum Fourier Transform Infrared spectra from exposed workers presented diverse different peaks (p < 0.01) in relation to the non-exposed group. The hierarchical cluster analysis of serum spectra separated serum samples of the exposed group from the non-exposed group with 61% sensitivity and 88% specificity. A support vector machine model of serum spectra enables to predict exposure with high accuracy (0.91), precision (0.89), sensitivity (0.86), F1 score (0.87) and AUC (0.96). Therefore, Fourier Transform Infrared spectroscopic analysis of a drop of serum enabled to predict in a rapid and simple mode the genotoxic effects of cytostatic drugs. The method presents therefore potential for high-dimension screening of exposure of genotoxic substances, due to its simplicity and rapid setup mode.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationARAÚJO, Rúben; [et al] – A new method to predict genotoxic effects based on serum molecular profile. Spectrochimica Acta Part: A Molecular and Biomolecular Spectroscopy. ISSN 1386-1425. Vol. 255 (2021), pp. 1-8pt_PT
dc.identifier.doi10.1016/j.saa.2021.119680pt_PT
dc.identifier.eissn1873-3557
dc.identifier.issn1386-1425
dc.identifier.urihttp://hdl.handle.net/10400.21/13452
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationIDI&CA/IPL/2017/GenTox/ESTeSL - IPLpt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2018/RENALPROG_ISELpt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2020/NephroMD/ISELpt_PT
dc.relation.publisherversionhttps://reader.elsevier.com/reader/sd/pii/S1386142521002560?token=3A1DDCE78127782B3E5CA8369B04D993666D356B2700A989E2474B75D1F37A8049E2F68C29CB2E3DB3E7F9BE2908F2E5&originRegion=eu-west-1&originCreation=20210616100738pt_PT
dc.subjectBiomonitoringpt_PT
dc.subjectGenotoxicitypt_PT
dc.subjectCBMNpt_PT
dc.subjectSerumpt_PT
dc.subjectFTIR spectroscopypt_PT
dc.titleA new method to predict genotoxic effects based on serum molecular profilept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleSpectrochimica Acta Part: A Molecular and Biomolecular Spectroscopypt_PT
oaire.citation.volume255pt_PT
person.familyNameAraújo
person.familyNameRamalhete
person.familyNameLadeira
person.familyNameCalado
person.givenNameRúben Alexandre Dinis
person.givenNameLuís
person.givenNameCarina
person.givenNameCecília
person.identifier2296066
person.identifier144237
person.identifier130332
person.identifier.ciencia-id9A18-BFDC-ED95
person.identifier.ciencia-idDF19-022D-AA10
person.identifier.ciencia-id801C-1BBA-1D9E
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-9369-6486
person.identifier.orcid0000-0002-8911-3380
person.identifier.orcid0000-0001-5588-0074
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridJ-2572-2012
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id57208672678
person.identifier.scopus-author-id36463788000
person.identifier.scopus-author-id6603163260
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9998e940-5e65-4661-8308-afcb56d5df01
relation.isAuthorOfPublication7846e088-851e-47b6-a7bd-d02c9d8f047d
relation.isAuthorOfPublication1aef4b60-4197-436b-84ab-80d31cbaed33
relation.isAuthorOfPublicatione8577257-c64c-4481-9b2b-940fedb360cc
relation.isAuthorOfPublication.latestForDiscovery7846e088-851e-47b6-a7bd-d02c9d8f047d

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