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Radiation Risk to Low Fluences of α Particles May Be Greater Than We Thought
Hongning Zhou, Masao Suzuki, Gerhard Randers-Pehrson, Diane Vannais, Gang Chen, James E. Trosko, Charles A. Waldren and Tom K. Hei
Proceedings of the National Academy of Sciences of the United States of America
Vol. 98, No. 25 (Dec. 4, 2001), pp. 14410-14415
Published by: National Academy of Sciences
Stable URL: http://www.jstor.org/stable/3057290
Page Count: 6
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Based principally on the cancer incidence found in survivors of the atomic bombs dropped in Hiroshima and Nagasaki, the International Commission on Radiation Protection (ICRP) and the United States National Council on Radiation Protection and Measurements (NCRP) have recommended that estimates of cancer risk for low dose exposure be extrapolated from higher doses by using a linear, no-threshold model. This recommendation is based on the dogma that the DNA of the nucleus is the main target for radiation-induced genotoxicity and, as fewer cells are directly damaged, the deleterious effects of radiation proportionally decline. In this paper, we used a precision microbeam to target an exact fraction (either 100% or ≤20%) of the cells in a confluent population and irradiated their nuclei with exactly one α particle each. We found that the frequencies of induced mutations and chromosomal changes in populations where some known fractions of nuclei were hit are consistent with non-hit cells contributing significantly to the response. In fact, irradiation of 10% of a confluent mammalian cell population with a single α particle per cell results in a mutant yield similar to that observed when all of the cells in the population are irradiated. This effect was significantly eliminated in cells pretreated with a 1 mM dose of octanol, which inhibits gap junction-mediated intercellular communication, or in cells carrying a dominant negative connexin 43 vector. The data imply that the relevant target for radiation mutagenesis is larger than an individual cell and suggest a need to reconsider the validity of the linear extrapolation in making risk estimates for low dose, high linear-energy-transfer (LET) radiation exposure.
Proceedings of the National Academy of Sciences of the United States of America © 2001 National Academy of Sciences