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Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects

Stress response signals can propagate between cells damaged by targeted effects (TE) of ionizing radiation (e.g. energy depositions and ionizations in the nucleus) and undamaged “bystander” cells, sometimes over long distances. Their consequences, called non-targeted effects (NTE), can substantially...

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Autores principales: Shuryak, Igor, Brenner, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910614/
https://www.ncbi.nlm.nih.gov/pubmed/33637848
http://dx.doi.org/10.1038/s41598-021-84156-2
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author Shuryak, Igor
Brenner, David J.
author_facet Shuryak, Igor
Brenner, David J.
author_sort Shuryak, Igor
collection PubMed
description Stress response signals can propagate between cells damaged by targeted effects (TE) of ionizing radiation (e.g. energy depositions and ionizations in the nucleus) and undamaged “bystander” cells, sometimes over long distances. Their consequences, called non-targeted effects (NTE), can substantially contribute to radiation-induced damage (e.g. cell death, genomic instability, carcinogenesis), particularly at low doses/dose rates (e.g. space exploration, some occupational and accidental exposures). In addition to controlled laboratory experiments, analysis of observational data on wild animal and plant populations from areas contaminated by radionuclides can enhance our understanding of radiation responses because such data span wide ranges of dose rates applied over many generations. Here we used a mechanistically-motivated mathematical model of TE and NTE to analyze published embryonic mortality data for plants (Arabidopsis thaliana) and rodents (Clethrionomys glareolus) from the Chernobyl nuclear power plant accident region. Although these species differed strongly in intrinsic radiosensitivities and post-accident radiation exposure magnitudes, model-based analysis suggested that NTE rather than TE dominated the responses of both organisms to protracted low-dose-rate irradiation. TE were predicted to become dominant only above the highest dose rates in the data. These results support the concept of NTE involvement in radiation-induced health risks from chronic radiation exposures.
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spelling pubmed-79106142021-03-02 Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects Shuryak, Igor Brenner, David J. Sci Rep Article Stress response signals can propagate between cells damaged by targeted effects (TE) of ionizing radiation (e.g. energy depositions and ionizations in the nucleus) and undamaged “bystander” cells, sometimes over long distances. Their consequences, called non-targeted effects (NTE), can substantially contribute to radiation-induced damage (e.g. cell death, genomic instability, carcinogenesis), particularly at low doses/dose rates (e.g. space exploration, some occupational and accidental exposures). In addition to controlled laboratory experiments, analysis of observational data on wild animal and plant populations from areas contaminated by radionuclides can enhance our understanding of radiation responses because such data span wide ranges of dose rates applied over many generations. Here we used a mechanistically-motivated mathematical model of TE and NTE to analyze published embryonic mortality data for plants (Arabidopsis thaliana) and rodents (Clethrionomys glareolus) from the Chernobyl nuclear power plant accident region. Although these species differed strongly in intrinsic radiosensitivities and post-accident radiation exposure magnitudes, model-based analysis suggested that NTE rather than TE dominated the responses of both organisms to protracted low-dose-rate irradiation. TE were predicted to become dominant only above the highest dose rates in the data. These results support the concept of NTE involvement in radiation-induced health risks from chronic radiation exposures. Nature Publishing Group UK 2021-02-26 /pmc/articles/PMC7910614/ /pubmed/33637848 http://dx.doi.org/10.1038/s41598-021-84156-2 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Shuryak, Igor
Brenner, David J.
Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects
title Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects
title_full Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects
title_fullStr Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects
title_full_unstemmed Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects
title_short Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects
title_sort quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910614/
https://www.ncbi.nlm.nih.gov/pubmed/33637848
http://dx.doi.org/10.1038/s41598-021-84156-2
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