期刊文献+

一种推广的靶效应模型及其对剂量-存活率的拟合探讨 被引量:2

A Generalized Target Effects Model and Fit to Dose-Survival Curves
下载PDF
导出
摘要 辐射生物物理模型对于准确、有效地评估空间辐射引起的生物损伤及风险具有重要意义。目前较为流行的基于地基模拟的"靶效应模型"和"非靶效应模型",是进一步探索空间辐射生物物理模型的基础。在考虑了辐射的非靶效应和机体复杂的修复过程的基础上,将传统理论中"击中"即"失活"的线性关系进行了推广,提出了基于否定算子的靶效应模型。通过对辐射钝感和敏感的两类细胞辐射实验中剂量与细胞存活率数据进行拟合发现,对于正常皮肤成纤维细胞的存活率数据,经典的靶学说与基于否定算子的改进靶效应模型都有较好的拟合效果;而对于人类胚胎肝细胞的存活率数据,基于否定算子的改进靶效应模型的拟合结果明显优于传统的靶学说模型。拟合结果中的模型参数值在人成纤维细胞和胚胎肝细胞中明显不同,说明了本模型的参数与传能线密度,细胞的种类、以及修复能力等物理和生物因素有关。 Radiation biophysical models are of great importance for accurately and effectively assess- ing the biological damage and risk induced by space radiation. The popular radiation biophysical models, including target effect models and non-target effeet models based on the ground radiation simulations, are the foundation for the exploration of space radiation biophysical models. Consider- ing the non-target effects of radiation and the repair function of organism, we generalized the tradi- tional relationship between "hit" and "inactivation" in the classical target theory, and proposed a generalized target effects model based on negative operator. Fitting the data of radiation dose and cell survival by regression, we found that both Lea's target theory and the generalized target theory could give a goodness-of-fit to the data of normal skin fibroblast cells, while the latter was obviously better than the former when fitting the data of human embryonic liver cells. The modeling parameter for fitting the data of normal skin fibroblast cells was significantly different with that of human embryonic liver cells, suggesting that the model parameter depending on the negative degree between the hit and inactivation, may be related to the physical and biological factors, such as linear energy transfer, cell types, and self-repair capacity, etc.
出处 《载人航天》 CSCD 2014年第6期528-533,共6页 Manned Spaceflight
基金 国家自然科学基金(31270903) 中央高校基本科研业务费专项资金(3132014306) 中国科学院空间科学战略性先导科技专项资助(XDA04020202-12)
关键词 辐射生物物理模型 靶效应 非靶效应 否定算子 radiation biophysical models target effect non-target effect negative operator
  • 相关文献

参考文献36

  • 1Yamauchi M, Suzuki K, Kodama S, et al. Stabilization of ala- nine substituted p53 protein at Ser15, Thrl8, and Set20 in response to ionizing radiation[ J]. Biochemical and Biophysi- cal Research Communications, 2004, 23 (3) : 906-911.
  • 2Takahashi A, Suzuki H, Omori K, et al. The expression of p53-regulated genes in human cultured lymphoblastoid TSCE5 and WTK1 cell lines during spaceflight [ J ]. International Journal of Radiation Bioloa, 2010, 86(8) : 669681.
  • 3Durante M, Manti L. Human response to high-background ra- diation environments on Earth and in space[ J]. Advances in Space Research, 2008, 42(6) : 999-1007.
  • 4Sachs R K, Hlatky L R. Dose-rate dependent stochastic effects in radiation cell-survival models [ J ]. Radiation and Environmental Biophysics, 1990, 29(3) : 169-184.
  • 5Cucinotta F A, Wilson J W. Initiation-promotion model of tumor prevalence in mice from space radiation exposures [ J ]. Radiation and Environmental Biophysics, 1995,34 (3) : 145- 149.
  • 6Ballarini F, Alloni D, Facoetti A, et al. Radiation risk esti- mation : modelling approaches for "targeted" and "non-targe- ted" effects [ J ]. Advances in Space Research, 2007, 40 (9) : 1392-1400.
  • 7Cucinotta F A, Chappell L J. Non-targeted effects and the dose response for heavy ion tumor induction [ J ]. Mutation Re- search/Fundamental and Molecular Mechanisms of Mutagene- sis, 2010, 687(1 - 2) : 49-53.
  • 8Lee R, Nasonova E, Ritter S. Chromosome aberration yields and apoptosis in human lymphocytes irradiated with Fe-ions of differing LET [J]. Advances in Space Research, 2005, 35 (2) : 268-275.
  • 9Little M P. Do non-targeted effects increase or decrease low dose risk in relation to the linear-non-threshold (LNT) model [J]. Mutation Research/Fundamental and Molecular Mecha- nisms of Mutagenesis, 2010, 687 ( 1 - 2) : 17-27.
  • 10Preston R J. Bystander effects, genomic instability, adaptive response, and cancer risk assessment for radiation and chemi- cal exposures [ J 1. Toxicology and Applied Pharmacology, 2005, 207(2, Supplement): 550-556.

二级参考文献3

共引文献4

同被引文献49

引证文献2

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部