School of Mathematical Sciences, Peking University, Beijing 100871, China.
Biomed Environ Sci. 2011 Apr;24(2):94-101. doi: 10.3967/0895-3988.2011.02.002.
Our objective is to build a model that explains the association between the exposure to trace elements in the soil and the risk of neural tube defects.
We built a function with different parameters to describe the effects of trace elements on neural tube defects. The association between neural tube defects and trace element levels was transformed into an optimization problem using the maximum likelihood method.
Tin, lead, nickel, iron, copper, and aluminum had typical layered effects (dosage effects) on the prevalence of neural tube defects. Arsenic, selenium, zinc, strontium, and vanadium had no effect, and molybdenum had one threshold value that affected the prevalence of birth defects.
As an exploratory research work, our model can be used to determine the direction of the effect of the trace element content of cultivated soil on the risk of neural tube defects, which shows the clues by the dosage effect of their toxicological characteristics. Based on our findings, future biogeochemical research should focus on the direct effects of trace elements on human health.
我们的目的是建立一个模型,解释土壤中微量元素暴露与神经管缺陷风险之间的关系。
我们构建了一个具有不同参数的函数来描述微量元素对神经管缺陷的影响。使用最大似然法将神经管缺陷与微量元素水平之间的关联转化为优化问题。
锡、铅、镍、铁、铜和铝对神经管缺陷的流行具有典型的分层(剂量)效应。砷、硒、锌、锶和钒没有影响,而钼有一个阈值,影响出生缺陷的流行。
作为一项探索性研究工作,我们的模型可用于确定耕作土壤中微量元素含量对神经管缺陷风险的影响方向,通过其毒理学特征的剂量效应显示线索。基于我们的发现,未来的生物地球化学研究应侧重于微量元素对人类健康的直接影响。