Domestic radon risks may be dominated by bystander effects--but the risks are unlikely to be greater than we thought.
Radon risks derive from exposure of bronchio-epithelial cells to alpha particles. Alpha-particle exposure can result in bystander effects when irradiated cells emit signals resulting in damage to nearby unirradiated bystander cells. Bystander effects can cause downwardly-curving dose-response relations and inverse dose-rate effects. We have extended a quantitative mechanistic model of bystander effects to include protracted exposure, with inverse dose-rate effects attributed to replenishment, during exposure, of a subpopulation of cells which are hypersensitive to bystander signals. In this approach, bystander effects and the inverse dose-rate effect are manifestations of the same basic phenomenon. The model was fitted to dose- and dose-rate dependent radon-exposed miner data; the results suggest that one directly-hit target cell can send bystander signals to about 50 neighboring cells and that, in the case of domestic radon exposures, the risk could be dominated by bystander effects. The analysis concludes that a naive linear extrapolation of radon miner data to low doses, without accounting for dose rate/bystander effects, would result in an underestimation of domestic radon risks by about a factor of approximately 4. However, recent domestic radon risk estimates (BEIR VI) have already applied a phenomenological correction factor of approximately 4 for inverse dose-rate effects, and have thus already implicitly taken into account corrections which we here suggest are due to bystander effects. Thus current domestic radon risk estimates are unlikely to be underestimates as a result of bystander effects.
Brenner
D J
DJ
Center for Radiological Research, Columbia University, 630 West 168th Street, New York, NY 10032, USA. djb3@columbia.edu
Sachs
R K
RK
D016902:Air Pollution, Indoor / Q000009:adverse effects*; D000512:Alpha Particles / Q000009:adverse effects; D024201:Bystander Effect / Q000528:radiation effects*; D003198:Computer Simulation; D004307:Dose-Response Relationship, Radiation; D006801:Humans; D018499:Linear Energy Transfer; D008954:Models, Biological; D011874:Radiometry / Q000379:methods*; D017687:Radon Daughters / Q000009:adverse effects*; D018570:Risk Assessment / Q000379:methods*
D017687:Radon Daughters