【摘要】 目的:利用多元回归方法构建预测生物剂量模型,探讨多基因表达组合作为生物剂量估算方法的可行性。方法:体外照射人外周血,照射剂量为0 Gy-12 Gy,照后培养0 h-12 h,实时定量RT-PCR方法检测TNFSF4、CCL2、CCL7的照后表达变化,建立预测生物剂量模型。结果:照后0-12 h,TNFSF4、CCL2和CCL7随着培养时间的延长三者的相对表达量增加(P<0.001,P=0.005,P<0.001);在0-12Gy剂量范围内,各剂量组的CCL7相对表达量差异有统计学意义(P=0.009),而TNFSF4和CCL2相对表达量差异没有统计学意义(P=0.254,P=0.059,P=0.137)。照后12 h,TNFSF4,CCL2和CCL7纳入模型,建立的预测生物剂量模型R2高于单基因估算剂量的R2(0.757>0.482)。结论:多基因表达组合作为生物剂量估算方法具有一定的可行性。更多还原

【Abstract】 Objective:Using multiple regression method to construct radiation dosimetry model,so as to explore the feasibility of combination of multiple gene expressions as radiation biodosimetry assay.Methods:Human peripheral blood was exposed to X-ray with the dose range from 0 Gy to 12 Gy,and incubated for 0h,6h or 12h.Relative expression quantities ofTNFSF4,CCL2 and CCL7 genes were determined by qRT-PCR.The model of radiation dosimetry was developed using multiple step regression.Results:Levels of the three gene expressions in each time group significantly increased with time extension(P < 0.01) after exposure.The expression levels of TNFSF4and CCL2 genes in each dose group did not show significant changes(P > 0.05),but CCL7 showed significant increase(P = 0.009) in the dose range of 0 Gy – 12 Gy after irradiation.Relative expression quantities ofTNFSF4,CCL2 and CCL7 genes entered multiple step regression model,and R square of the model was higher than that of single gene [0.757(model) > 0.482(single gene) ]at 12 h after irradiation.Conclusion:Multiple gene expression combination,as a method to predict radiation biodosimetry,has certain feasibility.更多还原