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The evidence for one-hit chromosome exchanges

A A Edwards

    Radiation and Environmental Biophysics
    |July 29, 1977
    PubMed
    Summary
    This summary is machine-generated.

    Recent analysis suggests that models combining dose and dose-squared terms better explain dicentric yield in human lymphocytes after low LET radiation exposure than simple two-hit models.

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    Area of Science:

    • Radiation biology
    • Human genetics
    • Cytogenetics

    Background:

    • The mechanism of dicentric chromosome formation in human lymphocytes after low linear energy transfer (LET) radiation is debated.
    • Luchnik [5] questioned the necessity of a one-hit chromosome exchange mechanism for explaining dicentric yield.

    Purpose of the Study:

    • To analyze recent experimental data on dicentric yield in human lymphocytes.
    • To evaluate the suitability of different models, including a two-hit model and models incorporating dose and dose-squared terms, for explaining observed dicentric yields.

    Main Methods:

    • Analysis of experimental data concerning dicentric yields in human lymphocytes.
    • Comparison of model fits to experimental data, specifically evaluating a simple two-hit model against models approximating the sum of a dose-dependent term and a dose-squared dependent term.

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    Main Results:

    • Models approximating the sum of a term proportional to dose and a term proportional to dose squared provide a better fit to recent experimental data than a simple two-hit model.
    • Despite improvements, the overall fits of these models to the available data were generally poor.

    Conclusions:

    • The findings suggest that dicentric yield in human lymphocytes following low LET radiation may not be adequately explained by a simple two-hit mechanism.
    • More complex models, incorporating both linear and quadratic dose dependencies, offer a better, though still imperfect, approximation of the experimental data.
    • Underestimation of experimental errors may contribute to the poor model fits observed.