Relating Nanoparticle Properties to Biological Outcomes in Exposure Escalation Experiments.

Relating Nanoparticle Properties to Biological Outcomes in Exposure Escalation Experiments.
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将纳米颗粒特性与暴露升级实验中的生物学结果联系起来。

DOI:
10.1002/env.2246
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发表时间:
2014
期刊:
影响因子:
1.7
通讯作者:
Nel,AE
Nel,AE
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Patel,T;Telesca,D;Low-Kam,C;Ji,Zx;Zhang,Hy;Xia,T;Zinc,JI;Nel,AE

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纳米毒理学的一个基本目标是识别可能解释生物危害的颗粒物理和化学性质。筛选潜在不良结果的第一线通常包括暴露递增实验,涉及将微生物或细胞系暴露于纳米材料库。我们讨论了一种建模策略,该策略将暴露升级实验的结果与纳米颗粒特性联系起来。我们的方法利用了一个分层决策过程,在那里我们共同识别颗粒,启动不良的生物学结果,并解释这一事件的概率方面的颗粒的物理化学描述符。建议的推理框架的结果,很容易解释为简单的概率陈述的摘要。我们将所提出的方法应用于24种金属氧化物纳米颗粒的数据集,其特征在于它们的电学,晶体和溶解特性。版权所有© 2013约翰威利父子有限公司.
A fundamental goal in nano‐toxicology is that of identifying particle physical and chemical properties, which are likely to explain biological hazard. The first line of screening for potentially adverse outcomes often consists of exposure escalation experiments, involving the exposure of micro‐organisms or cell lines to a library of nano‐materials. We discuss a modeling strategy that relates the outcome of an exposure escalation experiment to nano‐particle properties. Our approach makes use of a hierarchical decision process, where we jointly identify particles that initiate adverse biological outcomes and explain the probability of this event in terms of the particle physicochemical descriptors. The proposed inferential framework results in summaries that are easily interpretable as simple probability statements. We present the application of the proposed method to a dataset on 24 metal oxides nano‐particles, characterized in relation to their electrical, crystal and dissolution properties. Copyright © 2013 John Wiley & Sons, Ltd.
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