Literature DB >> 12971405

Changes in biomarkers from space radiation may reflect dose not risk.

Antone L Brooks1, Xingye C Lei, Kanokporn Rithidech.   

Abstract

This presentation evaluates differences between radiation biomarkers of dose and risk and demonstrates the consequential problems associated with using biomarkers to do risk calculations following radiation exposures to the complex radiation environment found in deep space. Dose is a physical quantity, while risk is a biological quantity. Dose does not predict risk. This manuscript discusses species sensitivity factors, tissue weighting factors, and radiation quality factors derived from relative biological effectiveness (RBE). These factors are used to modify dose to make it a better predictor of risk. At low doses, where it is not possible to measure changes in risk, biomarkers have been used incorrectly as an intermediate step in predicting risk. Examples of biomarkers that do not predict risk are reviewed. Species sensitivity factors were evaluated using the Syrian hamster and the Wistar rat. Although the frequency of chromosome damage is very similar in these two species, the Wistar rat is very sensitive to radiation-induced lung cancer while the Syrian hamster is very resistant. To illustrate problems involved in using tissue weighting factors, rat trachea and deep lung tissues were compared. The similar level of chromosome damage observed in these two tissues would predict that the risk for cancer induction would be the same. However, even though large numbers of deep lung tumors result from inhaled radon, under the same exposure conditions there has never been a tracheal tumor observed. Finally, the Relative Biological Effectiveness (RBE) used to generate "quality factors" that convert exposure and dose from different types of radiation to a single measure of risk, is discussed. Important risk comparisons are done at very low doses, where the response to the reference radiation has been shown to either increase or decrease as a function of dose. Thus, the RBE and the subsequent risk predicted is more dependent on the background response of the endpoint and the shape of the dose response to the reference radiation than it is on the radiation type of interest. A large study using micronuclei as biomarkers following exposure to different energies of mono-energetic neutrons, x-rays and gamma rays delivered at very low doses (0.0 to 0.10 Gy) is reported. As additional biomarkers of risk involved in critical steps in the carcinogenic process are developed, it may become possible to base risk estimates on biological change rather than the radiation energy deposition or dose. c2003 COSPAR. Published by Elsevier Science Ltd. All rights reserved.

Entities:  

Keywords:  NASA Discipline Radiation Health; NASA Program Biomedical Research and Countermeasures; Non-NASA Center

Mesh:

Substances:

Year:  2003        PMID: 12971405     DOI: 10.1016/s0273-1177(03)00084-x

Source DB:  PubMed          Journal:  Adv Space Res        ISSN: 0273-1177            Impact factor:   2.152


  4 in total

1.  Radiation hormesis: historical perspective and implications for low-dose cancer risk assessment.

Authors:  Alexander M Vaiserman
Journal:  Dose Response       Date:  2010-01-18       Impact factor: 2.658

2.  The Lowest Radiation Dose Having Molecular Changes in the Living Body.

Authors:  Noriko Shimura; Shuji Kojima
Journal:  Dose Response       Date:  2018-06-18       Impact factor: 2.658

Review 3.  The role of dose rate in radiation cancer risk: evaluating the effect of dose rate at the molecular, cellular and tissue levels using key events in critical pathways following exposure to low LET radiation.

Authors:  Antone L Brooks; David G Hoel; R Julian Preston
Journal:  Int J Radiat Biol       Date:  2016-06-07       Impact factor: 2.694

4.  Genotoxic effects of high dose rate X-ray and low dose rate gamma radiation in ApcMin/+ mice.

Authors:  Anne Graupner; Dag M Eide; Dag A Brede; Michele Ellender; Elisabeth Lindbo Hansen; Deborah H Oughton; Simon D Bouffler; Gunnar Brunborg; Ann Karin Olsen
Journal:  Environ Mol Mutagen       Date:  2017-08-30       Impact factor: 3.216

  4 in total

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