Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects
Abstract 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 subs...
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Nature Portfolio
2021
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oai:doaj.org-article:e1717dc319944fada3ec494ece78c1102021-12-02T15:52:59ZQuantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects10.1038/s41598-021-84156-22045-2322https://doaj.org/article/e1717dc319944fada3ec494ece78c1102021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84156-2https://doaj.org/toc/2045-2322Abstract 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.Igor ShuryakDavid J. BrennerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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Medicine R Science Q Igor Shuryak David J. Brenner Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects |
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Abstract 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. |
format |
article |
author |
Igor Shuryak David J. Brenner |
author_facet |
Igor Shuryak David J. Brenner |
author_sort |
Igor Shuryak |
title |
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_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_sort |
quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/e1717dc319944fada3ec494ece78c110 |
work_keys_str_mv |
AT igorshuryak quantitativemodelingofmultigenerationaleffectsofchronicionizingradiationusingtargetedandnontargetedeffects AT davidjbrenner quantitativemodelingofmultigenerationaleffectsofchronicionizingradiationusingtargetedandnontargetedeffects |
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