Testing for departures from additivity in mixtures of perfluoroalkyl acids (PFAAs).
Testing for departures from additivity in mixtures of perfluoroalkyl acids (PFAAs).
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DOI：
10.1016/j.tox.2013.02.016
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发表时间：
2013-04-05
期刊：
影响因子：
4.5
通讯作者：
Gennings C
中科院分区：
文献类型：
--
作者：
Carr CK;Watkins AM;Wolf CJ;Abbott BD;Lau C;Gennings C
本研究是一篇论文的后续研究，该论文确定了一种设计结构，以使用体外瞬时转染的COS-1 PPARα报告基因模型（混合比基于NHANES受试者的平均血清水平）最佳检测四种全氟烷基酸（PFAA）固定比例混合物的加和性偏离。对于关注这些化合物影响人类健康和影响生态系统的能力的风险评估人员来说，提供关于混合物中全氟辛酸潜在添加性的信息至关重要。很明显，接触的不是单一的化合物，而是全氟辛酸的混合物。本文介绍的结果，从收集的数据使用的设计，从沿着与随后的分析进行分类的混合物的全氟辛酸之间的关系。采用非线性逻辑加和模型预测相对荧光素酶单位（RLU），这是PPARα活化的一个指标。结果表明，四个PFAA之间的关系小于加性。为了确定可能的“拮抗作用”是否来自羧酸盐和磺酸盐之间的竞争，还研究了四种不同的二元混合物。有一个小于加性的关系，在所有四个二元混合物。这些发现与其他两份关于混合物中全氟辛酸之间干扰相互作用的报告大致相似。对我们的数据最保守的解释是假设加和性（缺乏大于加和性的相互作用），可能存在拮抗性相互作用。
This study is a follow-up to a paper by that determined a design structure to optimally test for departures from additivity in a fixed ratio mixture of four perfluoroalkyl acids (PFAAs) using an in vitro transiently-transfected COS-1 PPARα reporter model with a mixing ratio that is based on average serum levels in NHANES subjects. Availability of information regarding potential for additivity of PFAAs in mixtures is critically important for risk assessors who are concerned with the ability of the compounds to affect human health and impact ecological systems. It is clear that exposures are not to single compounds, but to mixtures of the PFAAs. This paper presents the results from the data collected using the design from along with subsequent analyses that were performed to classify the relationships among mixtures of PFAAs. A non-linear logistic additivity model was employed to predict relative luciferase units (RLU), an indicator of PPARα activation. The results indicated a less than additive relationship among the four PFAAs. To determine if the possible “antagonism” is from the competition among or between carboxylates and sulfonates, four different binary mixtures were also studied. There was a less than additive relationship in all four binary mixtures. These findings are generally similar to two other reports of interfering interactions between PFAAs in mixtures. The most conservative interpretation for our data would be an assumption of additivity (and lack of a greater than additive interaction), with a potential for antagonistic interactions.
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影响因子：
3.3
作者：
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通讯作者：
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影响因子：
2
作者：
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DOI：
10.1198/108571104x3406
发表时间：
2004-09-01
影响因子：
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作者：
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影响因子：
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作者：
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作者：
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