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非动物系统性安全评估是否具有保护作用?工具包和工作流程。

Are Non-animal Systemic Safety Assessments Protective? A Toolbox and Workflow.

机构信息

Unilever Safety and Environmental Assurance Centre, Bedfordshire MK44 1LQ, UK.

Cyprotex Discovery Ltd, Cheshire SK10 4TG, UK.

出版信息

Toxicol Sci. 2022 Aug 25;189(1):124-147. doi: 10.1093/toxsci/kfac068.

Abstract

An important question in toxicological risk assessment is whether non-animal new approach methodologies (NAMs) can be used to make safety decisions that are protective of human health, without being overly conservative. In this work, we propose a core NAM toolbox and workflow for conducting systemic safety assessments for adult consumers. We also present an approach for evaluating how protective and useful the toolbox and workflow are by benchmarking against historical safety decisions. The toolbox includes physiologically based kinetic (PBK) models to estimate systemic Cmax levels in humans, and 3 bioactivity platforms, comprising high-throughput transcriptomics, a cell stress panel, and in vitro pharmacological profiling, from which points of departure are estimated. A Bayesian model was developed to quantify the uncertainty in the Cmax estimates depending on how the PBK models were parameterized. The feasibility of the evaluation approach was tested using 24 exposure scenarios from 10 chemicals, some of which would be considered high risk from a consumer goods perspective (eg, drugs that are systemically bioactive) and some low risk (eg, existing food or cosmetic ingredients). Using novel protectiveness and utility metrics, it was shown that up to 69% (9/13) of the low risk scenarios could be identified as such using the toolbox, whilst being protective against all (5/5) the high-risk ones. The results demonstrated how robust safety decisions could be made without using animal data. This work will enable a full evaluation to assess how protective and useful the toolbox and workflow are across a broader range of chemical-exposure scenarios.

摘要

毒理学风险评估中的一个重要问题是,非动物新方法(NAM)是否可用于做出保护人类健康的安全决策,而不会过于保守。在这项工作中,我们提出了一个用于进行成年消费者系统安全性评估的核心 NAM 工具包和工作流程。我们还提出了一种方法,通过与历史安全性决策进行基准测试来评估工具包和工作流程的保护程度和有用程度。该工具包包括用于估计人体系统 Cmax 水平的生理相关动力学(PBK)模型,以及 3 个生物活性平台,包括高通量转录组学、细胞应激面板和体外药理学分析,从中估算出起始点。开发了一个贝叶斯模型来量化 Cmax 估计值的不确定性,具体取决于 PBK 模型的参数化方式。使用来自 10 种化学物质的 24 种暴露情况来测试评估方法的可行性,其中一些化学物质从消费品的角度来看被认为具有高风险(例如,具有全身生物活性的药物),而另一些则风险较低(例如,现有的食品或化妆品成分)。使用新颖的保护度和有用性指标表明,使用该工具包可以识别高达 69%(9/13)的低风险情况,同时对所有(5/5)高风险情况具有保护作用。结果表明,在不使用动物数据的情况下,可以做出稳健的安全决策。这项工作将能够进行全面评估,以评估工具包和工作流程在更广泛的化学暴露情况下的保护程度和有用程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d69/9412174/84657d039cde/kfac068f1.jpg

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