基于脱氧雪腐镰刀菌烯醇的概率参考剂量推导及其适用性分析
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华中科技大学同济医学院公共卫生学院流行病与卫生统计学系,湖北 武汉 430030

作者简介:

蔡金良 男 硕士研究生 研究方向为食品安全风险评估 E-mail:m201975300@hust.edu.cn

通讯作者:

吴静 女 教授 研究方向为慢性病流行病学 E-mail:wujingtj@hust.edu.cn

中图分类号:

R155

基金项目:

国家重点研发计划项目(2018YFC1603105)


Derivation of probabilistic reference dose and its applicability analysis based on deoxynivalenol
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Affiliation:

Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hubei Wuhan 430030, China

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    摘要:

    目的 以脱氧雪腐镰刀菌烯醇(DON)的参考剂量(RfD)推导为例,探讨概率RfD的适用性。方法 以世界卫生组织的不确定性分析指南为基础,选择唯一1项小鼠经口慢性暴露于DON的实验数据,分别采用近似概率法和完全概率法推导DON的概率RfD。采用敏感性分析探讨两种概率法分析不确定因素的能力。结果 DON的完全概率RfD为0.42 μg/kg·BW·d,略高于近似概率推导的RfD 0.30 μg/kg·BW·d。完全概率法的不确定性跨度为42,低于近似概率法的46,提示完全概率RfD的保守性更小。敏感性分析表明,完全概率法极大程度降低了由选择出发点(POD)引起的不确定性。结论 在不确定性分析尤其在POD方面,完全概率法优于近似概率法。当数据满足贝叶斯剂量反应模型的条件,建议采用完全概率法推导相应参考剂量。

    Abstract:

    Objective Based on the reference dose (RfD) of deoxynivalenol (DON), the applicability of probabilistic RfD was explored.Methods Based on the uncertainty analysis guidelines established by the World Health Organization, an experimental study of chronic oral exposure to DON in mice was performed to derive RfD. The probability distribution of the reference dose of DON was calculated by the approximate probabilistic method and the complete probabilistic method, respectively. Then, sensitivity analysis was conducted to study the ability of the two probabilistic methods to analyze uncertainty factors.Results The complete probabilistic RfD of DON was 0.42 μg/kg·BW·d, which was higher than the approximate probabilistic reference dose of 0.30 μg/kg·BW·d, and the complete probabilistic method had an uncertainty spanning factor of 42, which was slightly lower than factor of 46 of the approximate probabilistic method, suggested that complete probabilistic RfD had lower conservatism. Sensitivity analysis showed that the complete probabilistic method greatly reduced the uncertainty caused by point of departure (POD).Conclusion The complete probability method has advantages over the approximate probabilistic method in analyzing uncertainty, especially in POD aspects. If the data can satisfy the Bayesian analysis of dose-response model, the use of the complete probabilistic method is recommended.

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蔡金良,魏晟,吴静.基于脱氧雪腐镰刀菌烯醇的概率参考剂量推导及其适用性分析[J].中国食品卫生杂志,2023,35(7):988-992.

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  • 收稿日期:2021-07-10
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  • 在线发布日期: 2023-11-17
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