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Blood molecular profile to predict genotoxicity from exposure to antineoplastic drugs

2023-10Research article Open access
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authorProfile.emailbiblioteca@isel.pt
datacite.subject.fosEngenharia e Tecnologia::Engenharia Química
dc.contributor.authorLadeira, Carina
dc.contributor.authorAraújo, Rúben
dc.contributor.authorRamalhete, Luís
dc.contributor.authorTeixeira, Hélder
dc.contributor.authorCalado, Cecília
dc.date.accessioned2025-09-09T08:04:04Z
dc.date.available2025-09-09T08:04:04Z
dc.date.issued2023-10
dc.description.abstractGenotoxicity is an important information that should be included in human biomonitoring programmes. How-ever, the usually applied cytogenetic assays are laborious and time-consuming, reason why it is critical to develop rapid and economic new methods. The aim of this study was to evaluate if the molecular profile of frozen whole blood, acquired by Fourier Transform Infrared (FTIR) spectroscopy, allows to assess genotoxicity in occupational exposure to antineoplastic drugs, as obtained by the cytokinesis-block micronucleus assay. For that purpose, 92 samples of peripheral blood were studied: 46 samples from hospital professionals occupationally exposed to antineoplastic drugs and 46 samples from workers in academia without exposure (controls). It was first evaluated the metabolome from frozen whole blood by methanol precipitation of macromolecules as haemoglobin, followed by centrifugation. The metabolome molecular profile resulted in 3 ratios of spectral bands, significantly different between the exposed and non-exposed group (p < 0.01) and a spectral principal component-linear discriminant analysis (PCA-LDA) model enabling to predict genotoxicity from exposure with 73 % accuracy. After optimization of the dilution degree and solution used, it was possible to obtain a higher number of significant ratios of spectral bands, i.e., 10 ratios significantly different (p < 0.001), highlighting the high sensitivity and specificity of the method. Indeed, the PCA-LDA model, based on the molecular profile of whole blood, enabled to predict genotoxicity from the exposure with an accuracy, sensitivity, and specificity of 92 %, 93 % and 91 %, respectively. All these parameters were achieved based on 1 mu L of frozen whole blood, in a high-throughput mode, i.e., based on the simultaneous analysis of 92 samples, in a simple and economic mode. In summary, it can be conclude that this method presents a very promising potential for high-dimension screening of exposure to genotoxic substances.eng
dc.identifier.citationLadeira, C., Araújo, R., Ramalhete, L., Teixeira, H., & Calado, C. (2023). Blood molecular profile to predict genotoxicity from exposure to antineoplastic drugs. Mutation Research / Genetic Toxicology and Environmental Mutagenesis, 891, 1-9. https://doi.org/10.1016/j.mrgentox.2023.503681
dc.identifier.doihttps://doi.org/10.1016/j.mrgentox.2023.503681
dc.identifier.eissn1879-3592
dc.identifier.issn1383-5718
dc.identifier.urihttp://hdl.handle.net/10400.21/22127
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationDSAIPA/DS/0117/2020
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1383571823000992?via%3Dihub
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMolecular profile
dc.subjectFTIR-spectroscopy
dc.subjectGenotoxicity
dc.subjectCytokinesis-blocked micronucleus assay
dc.subjectFrozen blood
dc.subjectAntineoplastics
dc.titleBlood molecular profile to predict genotoxicity from exposure to antineoplastic drugseng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.endPage9
oaire.citation.startPage1
oaire.citation.titleMutation Research / Genetic Toxicology and Environmental Mutagenesis
oaire.citation.volume891
oaire.versionhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43
person.familyNameLadeira
person.familyNameRamalhete
person.familyNameCalado
person.givenNameCarina
person.givenNameLuís
person.givenNameCecília
person.identifier144237
person.identifier2296066
person.identifier130332
person.identifier.ciencia-id801C-1BBA-1D9E
person.identifier.ciencia-idDF19-022D-AA10
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0001-5588-0074
person.identifier.orcid0000-0002-8911-3380
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridJ-2572-2012
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id36463788000
person.identifier.scopus-author-id57208672678
person.identifier.scopus-author-id6603163260
relation.isAuthorOfPublication1aef4b60-4197-436b-84ab-80d31cbaed33
relation.isAuthorOfPublication7846e088-851e-47b6-a7bd-d02c9d8f047d
relation.isAuthorOfPublicatione8577257-c64c-4481-9b2b-940fedb360cc
relation.isAuthorOfPublication.latestForDiscovery1aef4b60-4197-436b-84ab-80d31cbaed33

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