An Assessment of Radiation Doses From Radon Exposures Using a Mouse Model System.


Journal

International journal of radiation oncology, biology, physics
ISSN: 1879-355X
Titre abrégé: Int J Radiat Oncol Biol Phys
Pays: United States
ID NLM: 7603616

Informations de publication

Date de publication:
01 11 2020
Historique:
received: 19 12 2019
revised: 08 04 2020
accepted: 18 05 2020
pubmed: 31 5 2020
medline: 10 4 2021
entrez: 31 5 2020
Statut: ppublish

Résumé

Radon and its progenies contribute significantly to the natural background radiation and cause several thousands of lung cancer cases per year worldwide. Moreover, patients with chronic inflammatory joint diseases are treated in radon galleries. Due to the complex nature of radon exposure, the doses associated with radon exposures are difficult to assess. Hence, there is a clear need to directly measure dose depositions from radon exposures to provide reliable risk estimates for radiation protection guidelines. We aimed to assess tissue-specific radiation doses associated with radon activity concentrations, that deposit similar dose levels as the annual natural radon exposure or radon gallery visits. We exposed mice to defined radon concentrations, quantified the number of 53BP1 foci as a measure of induced DNA damage, and compared it with the number of foci induced by known doses of reference-type radiations. An image-based analysis of the 3-dimensional foci pattern provided information about the radiation type inflicting the DNA damage. A 1-hour exposure to 440 kBq/m We found that radon exposures mainly lead to α-particle-induced DNA damage in the lung, consistent with the lung cancer risk obtained in epidemiologic studies. Our presented biodosimetric approach can be used to benchmark risk model calculations for radiation protection guidelines and can help to understand the therapeutic success of radon gallery treatments.

Sections du résumé

BACKGROUND
Radon and its progenies contribute significantly to the natural background radiation and cause several thousands of lung cancer cases per year worldwide. Moreover, patients with chronic inflammatory joint diseases are treated in radon galleries. Due to the complex nature of radon exposure, the doses associated with radon exposures are difficult to assess. Hence, there is a clear need to directly measure dose depositions from radon exposures to provide reliable risk estimates for radiation protection guidelines.
OBJECTIVES
We aimed to assess tissue-specific radiation doses associated with radon activity concentrations, that deposit similar dose levels as the annual natural radon exposure or radon gallery visits.
METHODS
We exposed mice to defined radon concentrations, quantified the number of 53BP1 foci as a measure of induced DNA damage, and compared it with the number of foci induced by known doses of reference-type radiations. An image-based analysis of the 3-dimensional foci pattern provided information about the radiation type inflicting the DNA damage.
RESULTS
A 1-hour exposure to 440 kBq/m
DISCUSSION
We found that radon exposures mainly lead to α-particle-induced DNA damage in the lung, consistent with the lung cancer risk obtained in epidemiologic studies. Our presented biodosimetric approach can be used to benchmark risk model calculations for radiation protection guidelines and can help to understand the therapeutic success of radon gallery treatments.

Identifiants

pubmed: 32473181
pii: S0360-3016(20)31188-3
doi: 10.1016/j.ijrobp.2020.05.031
pii:
doi:

Substances chimiques

Histones 0
Trp53bp1 protein, mouse 0
Tumor Suppressor p53-Binding Protein 1 0
gamma-H2AX protein, mouse 0
Radon Q74S4N8N1G

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

770-778

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Johanna Mirsch (J)

Radiation Biology and DNA Repair, Technical University of Darmstadt, Darmstadt, Germany.

Lisa Hintz (L)

Radiation Biology and DNA Repair, Technical University of Darmstadt, Darmstadt, Germany.

Andreas Maier (A)

Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany.

Claudia Fournier (C)

Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany.

Markus Löbrich (M)

Radiation Biology and DNA Repair, Technical University of Darmstadt, Darmstadt, Germany. Electronic address: lobrich@bio.tu-darmstadt.de.

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Classifications MeSH