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Predictive toxicological paradigm and high throughput approach for toxicity screening of engineered nanomaterials

机译:用于工程纳米材料毒性筛选的预测毒理学范式和高通量方法

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摘要

Nanotechnology is developing rapidly and numerous engineered nanomaterials (ENMs) with various design strategies have been produced and used in commercial products that affect many aspects of life. This increases the potential of human and environmental exposure to nanomaterials and there is an urgent need to have a platform to investigate the potential adverse effects of these materials. We propose a predictive toxicological paradigm that utilises high throughput mechanism-based in vitro screening to make predictions about the physicochemical properties of ENMs that may lead to generation of pathology or disease outcomes in vivo. In this review, we describe the tools required for establishing predictive toxicology paradigms together with examples of successful approaches in the UC Centre of Environmental Implications of Nanotechnology (UC CEIN) and the UCLA Centre for Nanobiology and Predictive Toxicology (CNPT).
机译:纳米技术发展迅速,已生产出多种具有各种设计策略的工程纳米材料(ENM),并将其用于影响生活许多方面的商业产品。这增加了人类和环境接触纳米材料的可能性,因此迫切需要有一个平台来研究这些材料的潜在不利影响。我们提出了一种预测性毒理学范式,该范式利用基于高通量机制的体外筛选对ENM的理化特性做出预测,这可能导致体内病理或疾病结果的产生。在这篇综述中,我们描述了建立预测毒理学范式所需的工具,以及在UC纳米技术的环境影响中心(UC CEIN)和UCLA纳米生物学与预测毒理学中心(CNPT)中成功采用的方法的例子。

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