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A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality

Predicting radiobiological effects is important in different areas of basic or clinical applications using ionizing radiation (IR); for example, towards optimizing radiation protection or radiation therapy protocols. In this case, we utilized as a basis the ‘MultiScale Approach (MSA)’ model and deve...

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Autores principales: Kalospyros, Spyridon A., Nikitaki, Zacharenia, Kyriakou, Ioanna, Kokkoris, Michael, Emfietzoglou, Dimitris, Georgakilas, Alexandros G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914858/
https://www.ncbi.nlm.nih.gov/pubmed/33562730
http://dx.doi.org/10.3390/molecules26040840
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author Kalospyros, Spyridon A.
Nikitaki, Zacharenia
Kyriakou, Ioanna
Kokkoris, Michael
Emfietzoglou, Dimitris
Georgakilas, Alexandros G.
author_facet Kalospyros, Spyridon A.
Nikitaki, Zacharenia
Kyriakou, Ioanna
Kokkoris, Michael
Emfietzoglou, Dimitris
Georgakilas, Alexandros G.
author_sort Kalospyros, Spyridon A.
collection PubMed
description Predicting radiobiological effects is important in different areas of basic or clinical applications using ionizing radiation (IR); for example, towards optimizing radiation protection or radiation therapy protocols. In this case, we utilized as a basis the ‘MultiScale Approach (MSA)’ model and developed an integrated mathematical radiobiological model (MRM) with several modifications and improvements. Based on this new adaptation of the MSA model, we have predicted cell-specific levels of initial complex DNA damage and cell survival for irradiation with (11)Β, (12)C, (14)Ν, (16)Ο, (20)Νe, (40)Αr, (28)Si and (56)Fe ions by using only three input parameters (particle’s LET and two cell-specific parameters: the cross sectional area of each cell nucleus and its genome size). The model-predicted survival curves are in good agreement with the experimental ones. The particle Relative Biological Effectiveness (RBE) and Oxygen Enhancement Ratio (OER) are also calculated in a very satisfactory way. The proposed integrated MRM model (within current limitations) can be a useful tool for the assessment of radiation biological damage for ions used in hadron-beam radiation therapy or radiation protection purposes.
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spelling pubmed-79148582021-03-01 A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality Kalospyros, Spyridon A. Nikitaki, Zacharenia Kyriakou, Ioanna Kokkoris, Michael Emfietzoglou, Dimitris Georgakilas, Alexandros G. Molecules Article Predicting radiobiological effects is important in different areas of basic or clinical applications using ionizing radiation (IR); for example, towards optimizing radiation protection or radiation therapy protocols. In this case, we utilized as a basis the ‘MultiScale Approach (MSA)’ model and developed an integrated mathematical radiobiological model (MRM) with several modifications and improvements. Based on this new adaptation of the MSA model, we have predicted cell-specific levels of initial complex DNA damage and cell survival for irradiation with (11)Β, (12)C, (14)Ν, (16)Ο, (20)Νe, (40)Αr, (28)Si and (56)Fe ions by using only three input parameters (particle’s LET and two cell-specific parameters: the cross sectional area of each cell nucleus and its genome size). The model-predicted survival curves are in good agreement with the experimental ones. The particle Relative Biological Effectiveness (RBE) and Oxygen Enhancement Ratio (OER) are also calculated in a very satisfactory way. The proposed integrated MRM model (within current limitations) can be a useful tool for the assessment of radiation biological damage for ions used in hadron-beam radiation therapy or radiation protection purposes. MDPI 2021-02-05 /pmc/articles/PMC7914858/ /pubmed/33562730 http://dx.doi.org/10.3390/molecules26040840 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kalospyros, Spyridon A.
Nikitaki, Zacharenia
Kyriakou, Ioanna
Kokkoris, Michael
Emfietzoglou, Dimitris
Georgakilas, Alexandros G.
A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality
title A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality
title_full A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality
title_fullStr A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality
title_full_unstemmed A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality
title_short A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality
title_sort mathematical radiobiological model (mrm) to predict complex dna damage and cell survival for ionizing particle radiations of varying quality
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914858/
https://www.ncbi.nlm.nih.gov/pubmed/33562730
http://dx.doi.org/10.3390/molecules26040840
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