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Membrane transporter data to support kinetically-informed chemical risk assessment using non-animal methods: Scientific and regulatory perspectives

机译:膜转运蛋白数据可支持使用非动物方法进行动力学信息下的化学风险评估:科学和监管角度

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摘要

Humans are continuously exposed to low levels of thousands of industrial chemicals, most of which are poorly characterised in terms of their potential toxicity. The new paradigm in chemical risk assessment (CRA) aims to rely on animal-free testing, with kinetics being a key determinant of toxicity when moving from traditional animal studies to integrated in vitro-in silico approaches. In a kinetically informed CRA, membrane transporters, which have been intensively studied during drug development, are an essential piece of information. However, how existing knowledge on transporters gained in the drug field can be applied to CRA is not yet fully understood. This review outlines the opportunities, challenges and existing tools for investigating chemical-transporter interactions in kinetically informed CRA without animal studies. Various environmental chemicals acting as substrates, inhibitors or modulators of transporter activity or expression have been shown to impact TK, just as drugs do. However, because pollutant concentrations are often lower in humans than drugs and because exposure levels and internal chemical doses are not usually known in contrast to drugs, new approaches are required to translate transporter data and reasoning from the drug sector to CRA. Here, the generation of in vitro chemical-transporter interaction data and the development of transporter databases and classification systems trained on chemical datasets (and not only drugs) are proposed. Furtheremore, improving the use of human biomonitoring data to evaluate the in vitro-in silico transporter-related predicted values and developing means to assess uncertainties could also lead to increase confidence of scientists and regulators in animal-free CRA. Finally, a systematic characterisation of the transportome (quantitative monitoring of transporter abundance, activity and maintenance over time) would reinforce confidence in the use of experimental transporter/barrier systems as well as in established cell-based toxicological assays currently used for CRA.
机译:人类持续暴露于低水平的数千种工业化学物质中,其中大多数在其潜在毒性方面的特征很差。化学风险评估(CRA)的新范例旨在依靠无动物测试,在从传统动物研究转向综合的体外计算机模拟方法时,动力学是毒性的关键决定因素。在具有动力学知识的CRA中,在药物开发过程中经过深入研究的膜转运蛋白是必不可少的信息。但是,关于在药物领域获得的转运蛋白的现有知识如何应用于CRA尚未完全了解。这篇综述概述了在没有动物研究的情况下研究动力学知情的CRA中化学-转运蛋白相互作用的机会,挑战和现有工具。与药物一样,已证明各种环境化学物质可作为转运蛋白活性或表达的底物,抑制剂或调节剂来影响传统知识。但是,由于人体中的污染物浓度通常比药物低,并且与药物相比,人们通常不知道其暴露水平和内部化学剂量,因此需要新的方法来将运输数据和推理从药物领域转换为CRA。在此,提出了体外化学-转运蛋白相互作用数据的产生以及转运蛋白数据库和在化学数据集(不仅是药物)上训练的分类系统的开发。此外,改善人类生物监测数据的使用以评估体外与计算机相关的转运蛋白的预测值,以及开发评估不确定性的手段,也可以提高科学家和监管机构对无动物CRA的信心。最后,转运蛋白的系统表征(定量监测转运蛋白的丰度,活性和随着时间的推移)将增强人们对实验转运蛋白/屏障系统以及目前用于CRA的基于细胞的毒理学测定方法的信心。

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