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混合物毒性预测中的时间依赖性。

Time-dependence in mixture toxicity prediction.

作者信息

Dawson Douglas A, Allen Erin M G, Allen Joshua L, Baumann Hannah J, Bensinger Heather M, Genco Nicole, Guinn Daphne, Hull Michael W, Il'Giovine Zachary J, Kaminski Chelsea M, Peyton Jennifer R, Schultz T Wayne, Pöch Gerald

机构信息

Department of Biology/Toxicology, Ashland University, Ashland, OH 44805, USA.

Department of Biology/Toxicology, Ashland University, Ashland, OH 44805, USA.

出版信息

Toxicology. 2014 Dec 4;326:153-63. doi: 10.1016/j.tox.2014.10.015. Epub 2014 Nov 1.

Abstract

The value of time-dependent toxicity (TDT) data in predicting mixture toxicity was examined. Single chemical (A and B) and mixture (A+B) toxicity tests using Microtox(®) were conducted with inhibition of bioluminescence (Vibrio fischeri) being quantified after 15, 30 and 45-min of exposure. Single chemical and mixture tests for 25 sham (A1:A2) and 125 true (A:B) combinations had a minimum of seven duplicated concentrations with a duplicated control treatment for each test. Concentration/response (x/y) data were fitted to sigmoid curves using the five-parameter logistic minus one parameter (5PL-1P) function, from which slope, EC25, EC50, EC75, asymmetry, maximum effect, and r(2) values were obtained for each chemical and mixture at each exposure duration. Toxicity data were used to calculate percentage-based TDT values for each individual chemical and mixture of each combination. Predicted TDT values for each mixture were calculated by averaging the TDT values of the individual components and regressed against the observed TDT values obtained in testing, resulting in strong correlations for both sham (r(2)=0.989, n=25) and true mixtures (r(2)=0.944, n=125). Additionally, regression analyses confirmed that observed mixture TDT values calculated for the 50% effect level were somewhat better correlated with predicted mixture TDT values than at the 25 and 75% effect levels. Single chemical and mixture TDT values were classified into five levels in order to discern trends. The results suggested that the ability to predict mixture TDT by averaging the TDT of the single agents was modestly reduced when one agent of the combination had a positive TDT value and the other had a minimal or negative TDT value.

摘要

研究了时间依赖性毒性(TDT)数据在预测混合物毒性方面的价值。使用Microtox®进行了单一化学品(A和B)及混合物(A + B)的毒性测试,在暴露15、30和45分钟后对生物发光抑制(费氏弧菌)进行定量。对25种虚拟(A1:A2)和125种真实(A:B)组合进行了单一化学品和混合物测试,每个测试至少有七个重复浓度以及一个重复的对照处理。浓度/响应(x/y)数据使用五参数逻辑减一参数(5PL - 1P)函数拟合到S形曲线,由此获得每种化学品和混合物在每个暴露持续时间的斜率、EC25、EC50、EC75、不对称性、最大效应和r(2)值。毒性数据用于计算每种组合中每种单一化学品和混合物基于百分比的TDT值。通过平均各成分的TDT值计算每种混合物的预测TDT值,并与测试中获得的观察到的TDT值进行回归分析,结果显示虚拟混合物(r(2)=0.989,n = 25)和真实混合物(r(2)=0.944,n = 125)均具有很强的相关性。此外,回归分析证实,对于50%效应水平计算的观察到的混合物TDT值与预测的混合物TDT值的相关性略优于25%和75%效应水平。为了辨别趋势,将单一化学品和混合物的TDT值分为五个级别。结果表明,当组合中的一种试剂具有正TDT值而另一种具有最小或负TDT值时,通过平均单一试剂的TDT来预测混合物TDT的能力会略有降低。

相似文献

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Time-dependence in mixture toxicity prediction.混合物毒性预测中的时间依赖性。
Toxicology. 2014 Dec 4;326:153-63. doi: 10.1016/j.tox.2014.10.015. Epub 2014 Nov 1.

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