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Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry

This work aims at elaborating the basic assumptions behind the “track-event theory” (TET) and its derivate “radiation action model based on nanodosimetry” (RAMN) by clearly distinguishing between effects of tracks at the cellular level and the induction of lesions in subcellular targets. It is demon...

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Autores principales: Ngcezu, Sonwabile Arthur, Rabus, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551112/
https://www.ncbi.nlm.nih.gov/pubmed/34427743
http://dx.doi.org/10.1007/s00411-021-00936-4
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author Ngcezu, Sonwabile Arthur
Rabus, Hans
author_facet Ngcezu, Sonwabile Arthur
Rabus, Hans
author_sort Ngcezu, Sonwabile Arthur
collection PubMed
description This work aims at elaborating the basic assumptions behind the “track-event theory” (TET) and its derivate “radiation action model based on nanodosimetry” (RAMN) by clearly distinguishing between effects of tracks at the cellular level and the induction of lesions in subcellular targets. It is demonstrated that the model assumptions of Poisson distribution and statistical independence of the frequency of single and clustered DNA lesions are dispensable for multi-event distributions because they follow from the Poisson distribution of the number of tracks affecting the considered target volume. It is also shown that making these assumptions for the single-event distributions of the number of lethal and sublethal lesions within a cell would lead to an essentially exponential dose dependence of survival for practically relevant values of the absorbed dose. Furthermore, it is elucidated that the model equation used for consideration of repair within the TET is based on the assumption that DNA lesions induced by different tracks are repaired independently. Consequently, the model equation is presumably inconsistent with the model assumptions and requires an additional model parameter. Furthermore, the methodology for deriving model parameters from nanodosimetric properties of particle track structure is critically assessed. Based on data from proton track simulations it is shown that the assumption of statistically independent targets leads to the prediction of negligible frequency of clustered DNA damage. An approach is outlined how track structure could be considered in determining the model parameters, and the implications for TET and RAMN are discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00411-021-00936-4.
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spelling pubmed-85511122021-10-29 Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry Ngcezu, Sonwabile Arthur Rabus, Hans Radiat Environ Biophys Original Article This work aims at elaborating the basic assumptions behind the “track-event theory” (TET) and its derivate “radiation action model based on nanodosimetry” (RAMN) by clearly distinguishing between effects of tracks at the cellular level and the induction of lesions in subcellular targets. It is demonstrated that the model assumptions of Poisson distribution and statistical independence of the frequency of single and clustered DNA lesions are dispensable for multi-event distributions because they follow from the Poisson distribution of the number of tracks affecting the considered target volume. It is also shown that making these assumptions for the single-event distributions of the number of lethal and sublethal lesions within a cell would lead to an essentially exponential dose dependence of survival for practically relevant values of the absorbed dose. Furthermore, it is elucidated that the model equation used for consideration of repair within the TET is based on the assumption that DNA lesions induced by different tracks are repaired independently. Consequently, the model equation is presumably inconsistent with the model assumptions and requires an additional model parameter. Furthermore, the methodology for deriving model parameters from nanodosimetric properties of particle track structure is critically assessed. Based on data from proton track simulations it is shown that the assumption of statistically independent targets leads to the prediction of negligible frequency of clustered DNA damage. An approach is outlined how track structure could be considered in determining the model parameters, and the implications for TET and RAMN are discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00411-021-00936-4. Springer Berlin Heidelberg 2021-08-24 2021 /pmc/articles/PMC8551112/ /pubmed/34427743 http://dx.doi.org/10.1007/s00411-021-00936-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Ngcezu, Sonwabile Arthur
Rabus, Hans
Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry
title Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry
title_full Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry
title_fullStr Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry
title_full_unstemmed Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry
title_short Investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry
title_sort investigation into the foundations of the track-event theory of cell survival and the radiation action model based on nanodosimetry
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551112/
https://www.ncbi.nlm.nih.gov/pubmed/34427743
http://dx.doi.org/10.1007/s00411-021-00936-4
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