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对单个化学品的毒性“阈值”与化学混合物的“相互作用阈值”之间关系的初步分析。

Initial analyses of the relationship between "Thresholds" of toxicity for individual chemicals and "Interaction Thresholds" for chemical mixtures.

作者信息

Yang Raymond S H, Dennison James E

机构信息

Quantitative and Computational Toxicology Group, Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1680, USA.

出版信息

Toxicol Appl Pharmacol. 2007 Sep 1;223(2):133-8. doi: 10.1016/j.taap.2006.11.016. Epub 2006 Nov 18.

Abstract

The inter-relationship of "Thresholds" between chemical mixtures and their respective component single chemicals was studied using three sets of data and two types of analyses. Two in vitro data sets involve cytotoxicity in human keratinocytes from treatment of metals and a metal mixture [Bae, D.S., Gennings, C., Carter, Jr., W.H., Yang, R.S.H., Campain, J.A., 2001. Toxicological interactions among arsenic, cadmium, chromium, and lead in human keratinocytes. Toxicol. Sci. 63, 132-142; Gennings, C., Carter, Jr., W.H., Campain, J.A., Bae, D.S., Yang, R.S.H., 2002. Statistical analysis of interactive cytotoxicity in human epidermal keratinocytes following exposure to a mixture of four metals. J. Agric. Biol. Environ. Stat. 7, 58-73], and induction of estrogen receptor alpha (ER-alpha) reporter gene in MCF-7 human breast cancer cells by estrogenic xenobiotics [Gennings, C., Carter, Jr., W.H., Carney, E.W., Charles, G.D., Gollapudi, B.B., Carchman, R.A., 2004. A novel flexible approach for evaluating fixed ratio mixtures of full and partial agonists. Toxicol. Sci. 80, 134-150]. The third data set came from PBPK modeling of gasoline and its components in the human. For in vitro cellular responses, we employed Benchmark Dose Software (BMDS) to obtain BMD01, BMD05, and BMD10. We then plotted these BMDs against exposure concentrations for the chemical mixture and its components to assess the ranges and slopes of these BMD-concentration lines. In doing so, we consider certain BMDs to be "Interaction Thresholds" or "Thresholds" for mixtures and their component single chemicals and the slope of the line must be a reflection of the potency of the biological effects. For in vivo PBPK modeling, we used 0.1x TLVs, TLVs, and 10x TLVs for gasoline and six component markers as input dosing for PBPK modeling. In this case, the venous blood levels under the hypothetical exposure conditions become our designated "Interaction Thresholds" or "Thresholds" for gasoline and its component single chemicals. Our analyses revealed that the mixture "Interaction Thresholds" appear to stay within the bounds of the "Thresholds" of its respective component single chemicals. Although such a trend appears to be emerging, nevertheless, it should be emphasized that our analyses are based on limited data sets and further analyses on data sets, preferably the more comprehensive experimental data sets, are needed before a definitive conclusion can be drawn.

摘要

利用三组数据和两种分析类型,研究了化学混合物与其各自单一化学成分之间“阈值”的相互关系。两组体外数据集涉及金属及金属混合物处理后人角质形成细胞的细胞毒性[Bae, D.S., Gennings, C., Carter, Jr., W.H., Yang, R.S.H., Campain, J.A., 2001年。砷、镉、铬和铅在人角质形成细胞中的毒理学相互作用。《毒理学科学》63卷,第132 - 142页;Gennings, C., Carter, Jr., W.H., Campain, J.A., Bae, D.S., Yang, R.S.H., 2002年。暴露于四种金属混合物后人表皮角质形成细胞中交互细胞毒性的统计分析。《农业与生物环境统计学杂志》7卷,第58 - 73页],以及雌激素类外源性物质对MCF - 7人乳腺癌细胞中雌激素受体α(ER - α)报告基因的诱导作用[Gennings, C., Carter, Jr., W.H., Carney, E.W., Charles, G.D., Gollapudi, B.B., Carchman, R.A., 2004年。一种评估完全和部分激动剂固定比例混合物的新型灵活方法。《毒理学科学》80卷,第134 - 150页]。第三个数据集来自汽油及其成分在人体中的生理药代动力学(PBPK)建模。对于体外细胞反应,我们使用基准剂量软件(BMDS)来获得BMD01、BMD05和BMD10。然后,我们将这些BMD值与化学混合物及其成分的暴露浓度进行绘图,以评估这些BMD - 浓度线的范围和斜率。在此过程中,我们将某些BMD视为混合物及其单一化学成分的“相互作用阈值”或“阈值”,并且该线的斜率必须反映生物效应的效力。对于体内PBPK建模,我们使用0.1倍阈限值(TLV)、TLV和10倍TLV作为汽油和六种成分标志物的输入剂量进行PBPK建模。在这种情况下,假设暴露条件下的静脉血水平成为我们为汽油及其单一化学成分指定的“相互作用阈值”或“阈值”。我们的分析表明,混合物的“相互作用阈值”似乎处于其各自单一化学成分“阈值”的范围内。尽管这种趋势似乎正在显现,但应该强调的是,我们的分析基于有限的数据集,在得出明确结论之前,需要对数据集进行进一步分析,最好是更全面的实验数据集。

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