Gyalpo Tenzing, Scheringer Martin, Hungerbühler Konrad
Safety and Environmental Technology Group, Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich, Switzerland.
Environ Health Perspect. 2016 Jul;124(7):881-5. doi: 10.1289/ehp.1510219. Epub 2015 Dec 15.
Biomonitoring data of persistent organic pollutants (POPs) in breast milk are increasingly collected and available for quantitative analysis of levels and time trends. A common approach is to apply log-linear regression to calculate doubling and halving times of the POP concentrations based on the temporal trend observed in breast milk. However, there are different, sometimes conflicting interpretations of these doubling and halving times.
We provide a mechanistic understanding of doubling and halving times where possible. Five recommendations are proposed for dealing with POP concentration trends in breast milk during three distinct periods (pre-ban, transition, post-ban period).
Using temporal trends of BDE-47 and PCB-153 in breast milk data, we show which information can be gained from the time-trend data. To this end, we analyzed time trends of hypothetical POPs for different periods with time-variant exposure and different intrinsic elimination half-lives, using a dynamic population-based pharmacokinetic model. Different pieces of information can be extracted from time-trend data from different periods. The analysis of trends of short-lived POPs is rather straightforward and facilitates extraction of the intrinsic elimination half-lives from the breast milk data. However, trends of slowly eliminated POPs only provide indications for the exposure time trend.
Time-trend data of rapidly eliminated POPs provide information on exposure time trends and elimination half-lives. Temporal trends of slowly eliminated POPs are more complicated to interpret, and the extraction of exposure time trends and elimination half-lives require data sets covering several decades.
Gyalpo T, Scheringer M, Hungerbühler K. 2016. Recommendations for evaluating temporal trends of persistent organic pollutants in breast milk. Environ Health Perspect 124:881-885; http://dx.doi.org/10.1289/ehp.1510219.
母乳中持久性有机污染物(POPs)的生物监测数据越来越多地被收集起来,并可用于污染物水平及时间趋势的定量分析。一种常用的方法是应用对数线性回归,根据母乳中观察到的时间趋势来计算POPs浓度的倍增时间和减半时间。然而,对于这些倍增时间和减半时间存在不同的,有时甚至相互矛盾的解释。
我们尽可能对倍增时间和减半时间给出一个机理性的理解。针对三个不同时期(禁令实施前、过渡期、禁令实施后)母乳中POPs浓度趋势的处理,我们提出了五条建议。
利用母乳数据中BDE-47和PCB-153的时间趋势,我们展示了从时间趋势数据中可以获得哪些信息。为此,我们使用基于动态人群的药代动力学模型,分析了不同时期具有随时间变化的暴露情况以及不同固有消除半衰期的假设性POPs的时间趋势。从不同时期的时间趋势数据中可以提取出不同的信息。对短寿命POPs趋势的分析相当直接,有助于从母乳数据中提取固有消除半衰期。然而,消除缓慢的POPs的趋势仅能为暴露时间趋势提供指示。
快速消除的POPs的时间趋势数据可提供暴露时间趋势和消除半衰期的信息。消除缓慢的POPs的时间趋势较难解释,而提取暴露时间趋势和消除半衰期需要涵盖几十年的数据集。
Gyalpo T, Scheringer M, Hungerbühler K. 2016. Recommendations for evaluating temporal trends of persistent organic pollutants in breast milk. Environ Health Perspect 124:881-885; http://dx.doi.org/10.1289/ehp.1510219.