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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-7914858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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