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估算高通量化学风险评估中与毒性相关的生物途径改变剂量。

Estimating toxicity-related biological pathway altering doses for high-throughput chemical risk assessment.

机构信息

National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, United States.

出版信息

Chem Res Toxicol. 2011 Apr 18;24(4):451-62. doi: 10.1021/tx100428e. Epub 2011 Mar 8.

Abstract

We describe a framework for estimating the human dose at which a chemical significantly alters a biological pathway in vivo, making use of in vitro assay data and an in vitro-derived pharmacokinetic model, coupled with estimates of population variability and uncertainty. The quantity we calculate, the biological pathway altering dose (BPAD), is analogous to current risk assessment metrics in that it combines dose-response data with analysis of uncertainty and population variability to arrive at conservative exposure limits. The analogy is closest when perturbation of a pathway is a key event in the mode of action (MOA) leading to a specified adverse outcome. Because BPADs are derived from relatively inexpensive, high-throughput screening (HTS) in vitro data, this approach can be applied to high-throughput risk assessments (HTRA) for thousands of data-poor environmental chemicals. We envisage the first step of HTRA to be an assessment of in vitro concentration-response relationships across biologically important pathways to derive biological pathway altering concentrations (BPAC). Pharmacokinetic (PK) modeling is then used to estimate the in vivo doses required to achieve the BPACs in the blood at steady state. Uncertainty and variability are incorporated in both the BPAC and the PK parameters and then combined to yield a probability distribution for the dose required to perturb the critical pathway. We finally define the BPADL as the lower confidence bound of this pathway-altering dose. This perspective outlines a framework for using HTRA to estimate BPAD values; provides examples of the use of this approach, including a comparison of BPAD values with published dose-response data from in vivo studies; and discusses challenges and alternative formulations.

摘要

我们描述了一个框架,用于估计化学物质在体内显著改变生物途径的人体剂量,利用体外测定数据和体外衍生的药代动力学模型,并结合人群变异性和不确定性的估计。我们计算的量,即生物途径改变剂量(BPAD),与当前的风险评估指标类似,因为它将剂量-反应数据与不确定性和人群变异性分析结合起来,得出保守的暴露限值。当途径的扰动是导致特定不良后果的作用模式(MOA)的关键事件时,这种类比最为接近。由于 BPAD 是从相对便宜的高通量筛选(HTS)体外数据中得出的,因此这种方法可以应用于数千种数据不足的环境化学物质的高通量风险评估(HTRA)。我们设想 HTRA 的第一步是评估对生物重要途径的体外浓度-反应关系,以得出生物途径改变浓度(BPAC)。然后使用药代动力学(PK)模型来估计在体内达到血液中 BPAC 所需的剂量。不确定性和变异性都包含在 BPAC 和 PK 参数中,然后将它们结合起来,以产生改变关键途径所需剂量的概率分布。我们最后将 BPADL 定义为该途径改变剂量的置信下限。该观点概述了使用 HTRA 估计 BPAD 值的框架;提供了这种方法的应用示例,包括将该方法与体内研究的已发表剂量-反应数据进行比较;并讨论了挑战和替代方案。

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