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dc.contributor.authorSong, You
dc.contributor.authorZheng, Keke
dc.contributor.authorBrede, Dag Anders
dc.contributor.authorGomes, Tania
dc.contributor.authorXie, Li
dc.contributor.authorKassaye, Yetneberk Ayalew
dc.contributor.authorSalbu, Brit
dc.contributor.authorTollefsen, Knut-Erik
dc.date.accessioned2023-03-23T13:37:42Z
dc.date.available2023-03-23T13:37:42Z
dc.date.created2023-02-23T12:29:15Z
dc.date.issued2023
dc.identifier.citationEnvironmental Science & Technology. 2023, 57 (8), 3198-3205.en_US
dc.identifier.issn0013-936X
dc.identifier.urihttps://hdl.handle.net/11250/3060178
dc.description.abstractWhile adverse biological effects of acute high-dose ionizing radiation have been extensively investigated, knowledge on chronic low-dose effects is scarce. The aims of the present study were to identify hazards of low-dose ionizing radiation to Daphnia magna using multiomics dose–response modeling and to demonstrate the use of omics data to support an adverse outcome pathway (AOP) network development for ionizing radiation. Neonatal D. magna were exposed to γ radiation for 8 days. Transcriptomic analysis was performed after 4 and 8 days of exposure, whereas metabolomics and confirmative bioassays to support the omics analyses were conducted after 8 days of exposure. Benchmark doses (BMDs, 10% benchmark response) as points of departure (PODs) were estimated for both dose-responsive genes/metabolites and the enriched KEGG pathways. Relevant pathways derived using the BMD modeling and additional functional end points measured by the bioassays were overlaid with a previously published AOP network. The results showed that several molecular pathways were highly relevant to the known modes of action of γ radiation, including oxidative stress, DNA damage, mitochondrial dysfunction, protein degradation, and apoptosis. The functional assays showed increased oxidative stress and decreased mitochondrial membrane potential and ATP pool. Ranking of PODs at the pathway and functional levels showed that oxidative damage related functions had relatively low PODs, followed by DNA damage, energy metabolism, and apoptosis. These were supportive of causal events in the proposed AOP network. This approach yielded promising results and can potentially provide additional empirical evidence to support further AOP development for ionizing radiation.en_US
dc.language.isoengen_US
dc.publisherACS Publicationsen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMultiomics Point of Departure (moPOD) Modeling Supports an Adverse Outcome Pathway Network for Ionizing Radiationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Authorsen_US
dc.source.pagenumber3198−3205en_US
dc.source.volume57en_US
dc.source.journalEnvironmental Science and Technologyen_US
dc.source.issue8en_US
dc.identifier.doi10.1021/acs.est.2c04917
dc.identifier.cristin2128549
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal