摘要
目的 探讨个体辐射敏感性对GPA基因突变频率的影响及其校正方法。方法 利用彗星实验、CB微核 +3AB指数实验和多元线性回归统计分析方法 ,检测个体辐射敏感性及其对X射线工作者GPA基因突变频率剂量 效应曲线的影响 ,建立多元线性回归方程。结果 X射线工作者的辐射敏感性存在个体差异 ,个体辐射敏感性是GPA基因突变频率变异的影响因素 ;个体的辐射敏感性较高者 ,GPA基因突变频率较高 ;经个体辐射敏感性校正后GPA基因突变频率与剂量的相关性加强 ,GPAN基因突变频率的多元线性回归曲线方程 :YN=2 4 7× 10 - 6 +0 5× 10 - 6 X1 - 99 5× 10 - 6X2 +1 7× 10 - 6 X3,总相关系数r=0 6 73(P <0 0 1)。结论 用个体辐射敏感性指标校正个体差异 ,改善了GPA基因突变频率剂量 效应关系 ;多元回归方程估算的累积剂量更接近估算的物理剂量 ;减少了GPA基因突变频率估算累积剂量和预测癌患风险的不确定度。
Objective To study the influence of individual radiation sensitivity on GPA gene mutation frequency and the way to adjust it. Methods Comet assay,cytokinesis-block micronucleus plus 3AB index technique,and multiple linear regression were used to determine the influence of individual radiation sensitivity on GPA gene mutation frequency in medical diagnostic X-ray workers,and then the fitted equation of multiple linear regression was obtained. Results There was individual difference in radiation sensitivity among medical diagnostic X-ray workers,which is a factor influencing GPA gene mutation frequency.The stronger the individual radiation sensitivity,the higher the GPA gene mutation frequency.The correlation between GPA gene mutation frequency and radiation dose was strengthened after it was adjusted by the individual radiation sensitivity.The equation of multiple linear regression for GPA gene mutation frequency was obtained by the multiple factor analysis: Y_ N=24.7×10 -6+0.5×10 -6X_1-99.5×10 -6X_2+1.7×10 -6X_3,and the correlation coefficient r= 0.673. Conclusions The relationship between GPA N gene mutation frequency and cumulative dose is improved by adjustment for individual radiation sensitivity.The accumulative dose estimated by using the multiple linear regressions is approximate to the dose estimated by physical method,thus it decreases the uncertainty of estimating cumulative dose and forecasting cancer risk by using GPA gene mutation frequency.
出处
《中华放射医学与防护杂志》
CAS
CSCD
北大核心
2004年第2期91-94,共4页
Chinese Journal of Radiological Medicine and Protection
基金
国家自然科学基金资助项目 ( 3 0 0 70 64 4)
