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

Bingbing Sun, Ruibin Li, Xiang Wang, T. Xia
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引用次数: 9

Abstract

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).
工程纳米材料毒性筛选的预测毒理学范式和高通量方法
纳米技术正在迅速发展,许多具有不同设计策略的工程纳米材料(enm)已经生产出来,并用于影响生活许多方面的商业产品。这增加了人类和环境暴露于纳米材料的可能性,迫切需要一个平台来调查这些材料的潜在不利影响。我们提出了一种预测毒理学范式,利用基于高通量机制的体外筛选来预测可能导致体内病理或疾病结果的enm的物理化学特性。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,以及加州大学伯克利分校纳米技术环境影响中心(UC CEIN)和加州大学洛杉矶分校纳米生物学和预测毒理学中心(CNPT)成功方法的例子。
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