Digitální knihovna UHK

Discovering the Radiation Biomarkers in the Plasma of Total-Body Irradiated Leukemia Patients

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dc.rights.license CC BY eng
dc.contributor.author Rydlová, Gabriela cze
dc.contributor.author Vozandychová, Věra cze
dc.contributor.author Řehulka, Pavel cze
dc.contributor.author Řehulková, Helena cze
dc.contributor.author Sirák, Igor cze
dc.contributor.author Davídková, Marie cze
dc.contributor.author Marková, Markéta cze
dc.contributor.author Myslivcová Fučíková, Alena cze
dc.contributor.author Tichý, Aleš cze
dc.date.accessioned 2025-12-05T14:23:41Z
dc.date.available 2025-12-05T14:23:41Z
dc.date.issued 2024 eng
dc.identifier.issn 0033-7587 eng
dc.identifier.uri http://hdl.handle.net/20.500.12603/2127
dc.description.abstract The increased risk of acute large-scale radiological exposure for the world's population underlines the need for optimal radiation biomarkers. Ionizing radiation triggers a complex response by the genome, proteome, and metabolome, all of which have been reported as suitable indicators of radiation-induced damage in vivo. This study analyzed peripheral blood samples from total-body irradiation (TBI) leukemia patients through mass spectrometry (MS) to identify and quantify differentially regulated proteins in plasma before and after irradiation. In brief, samples were taken from 16 leukemic patients prior to and 24 h after TBI (2 × 2.0 Gy), processed with Tandem Mass Tag isobaric labelling kit (TMTpro-16-plex), and analyzed by MS. In parallel, label-free relative quantification was performed with a RP-nanoLC-ESI-MS/MS system in a Q-Exactive mass spectrometer. Protein identification was done in Proteome Discoverer v.2.2 platform (Thermo). Data is available via ProteomeXchange with identifier PXD043516. Using two different methods, we acquired two datasets of up-regulated (ratio ≥ 1.2) or down-regulated (ratio ≤ 0.83) plasmatic proteins 24 h after irradiation, identifying 356 and 346 proteins in the TMT-16plex and 285 and 308 label-free analyses, respectively (P ≤ 0.05). Combining the two datasets yielded 15 candidates with significant relation to gamma-radiation exposure. The majority of these proteins were associated with the inflammatory response and lipid metabolism. Subsequently, from these, five proteins showed the strongest potential as radiation biomarkers in humans (C-reactive protein, Alpha amylase 1A, Mannose-binding protein C, Phospholipid transfer protein, and Complement C5). These candidate biomarkers might have implications for practical biological dosimetry. eng
dc.format p. 418-428 eng
dc.language.iso eng eng
dc.publisher Radiation Research Society eng
dc.relation.ispartof Radiation research, volume 201, issue: 5 eng
dc.subject biomarkers eng
dc.subject plasma eng
dc.subject total-body eng
dc.subject irradiated eng
dc.subject leukemia eng
dc.subject patients eng
dc.title Discovering the Radiation Biomarkers in the Plasma of Total-Body Irradiated Leukemia Patients eng
dc.type article eng
dc.identifier.obd 43881159 eng
dc.identifier.doi 10.1667/RADE-23-00137.1 eng
dc.publicationstatus postprint eng
dc.peerreviewed yes eng
dc.source.url https://meridian.allenpress.com/radiation-research/article/201/5/418/498838/Discovering-the-Radiation-Biomarkers-in-the-Plasma?searchresult=1 cze
dc.relation.publisherversion https://meridian.allenpress.com/radiation-research/article/201/5/418/498838/Discovering-the-Radiation-Biomarkers-in-the-Plasma?searchresult=1 eng
dc.rights.access Open Access eng


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