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Application of the comet assay in human biomonitoring: an hCOMET perspective

dc.contributor.authorAzqueta, Amaya
dc.contributor.authorLadeira, Carina
dc.contributor.authorGiovannelli, Lisa
dc.contributor.authorBoutet-Robinet, Elisa
dc.contributor.authorBonassi, Stefano
dc.contributor.authorNeri, Monica
dc.contributor.authorGajski, Goran
dc.contributor.authorDuthie, Susan
dc.contributor.authorDel Bo’, Cristian
dc.contributor.authorRiso, Patrizia
dc.contributor.authorKoppen, Gudrun
dc.contributor.authorBasaran, Nursen
dc.contributor.authorCollins, Andrew
dc.contributor.authorMøller, Peter
dc.date.accessioned2020-02-19T12:22:36Z
dc.date.available2020-02-19T12:22:36Z
dc.date.issued2020-01
dc.description.abstractThe comet assay is a well-accepted biomonitoring tool to examine the effect of dietary, lifestyle, environmental and occupational exposure on levels of DNA damage in human cells. With such a wide range of determinants for DNA damage levels, it becomes challenging to deal with confounding and certain factors are interrelated (e.g. poor nutritional intake may correlate with smoking status). This review describes the effect of intrinsic (i.e. sex, age, tobacco smoking, occupational exposure, and obesity) and extrinsic (season, environmental exposures, diet, physical activity, and alcohol consumption) factors on the level of DNA damage measured by the standard or enzyme-modified comet assay. Although each factor influences at least one comet assay endpoint, the collective evidence does not indicate single factors have a large impact. Thus, controlling for confounding may be necessary for a biomonitoring study, but none of the factors is strong enough to be regarded as a priori as a confounder. Controlling for confounding in the comet assay requires a case-by-case approach. Inter-laboratory variation in levels of DNA damage and to some extent also reproducibility in biomonitoring studies are issues that have haunted the users of the comet assay for years. Procedures to collect specimens, and their storage, are not standardized. Likewise, statistical issues related to both sample-size calculation (before sampling of specimens) and statistical analysis of the results vary between studies. This review gives guidance to statistical analysis of the typically complex exposure, co-variate, and effect relationships in human biomonitoring studies.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAzqueta A, Ladeira C, Giovannelli L, Boutet-Robinet E, Bonassi S, Neri M, et al. Application of the comet assay in human biomonitoring: an hCOMET perspective. Mutat Res Rev Mutat Res. 2020;783:ID108288.pt_PT
dc.identifier.doi10.1016/j.mrrev.2019.108288pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/11117
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationCOST Action CA15132: hCOMETpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1383574219300456?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectComet assaypt_PT
dc.subjectDNA damagept_PT
dc.subjectFpg-sensitive sitespt_PT
dc.subjectHuman biomonitoringpt_PT
dc.subjectStatistical analysispt_PT
dc.titleApplication of the comet assay in human biomonitoring: an hCOMET perspectivept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage108288pt_PT
oaire.citation.titleMutation Research/Reviews in Mutation Researchpt_PT
oaire.citation.volume783pt_PT
person.familyNameLadeira
person.givenNameCarina
person.identifier144237
person.identifier.ciencia-id801C-1BBA-1D9E
person.identifier.orcid0000-0001-5588-0074
person.identifier.ridJ-2572-2012
person.identifier.scopus-author-id36463788000
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1aef4b60-4197-436b-84ab-80d31cbaed33
relation.isAuthorOfPublication.latestForDiscovery1aef4b60-4197-436b-84ab-80d31cbaed33

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