Engineered nanomaterial interactions with bilayer lipid membranes: screening platforms to assess nanoparticle toxicity

A. Negoda, Y. Liu, Wen-Che Hou, C. Corredor, B. Y. Moghadam, C. Musolff, Lin Li, William O. Walker, P. Westerhoff, A. Mason, P. Duxbury, J. Posner, R. Worden
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引用次数: 21

Abstract

Engineered nanomaterials (ENMs) have attractive functional properties and are increasingly being used in commercial products. However, ENMs present health risks that are poorly understood and difficult to assess. Because ENMs must interface with cell membranes to cause biological effects, improved methods are needed to measure ENM-biomembrane interactions. The goals of this paper are to review the current status of methods to characterise interactions between ENMs and bilayer lipid membranes that mimic cell membranes, and to present example applications of the methods relevant to nanotoxicology. Four approaches are discussed: electrochemical methods that measure ENM-induced ion leakage through lipid bilayers, optical methods that measure dye leakage from liposomes, partitioning methods that measure ENM distribution coefficients between aqueous solution and immobilised lipid bilayers, and theoretical models capable of predicting fundamental molecular interactions between ENMs and biomembranes. For each approach, current literature is summarised, recent results are given, and future prospects are analysed, including the potential to be used in a high-throughput mode. The relative advantages of the various approaches are discussed, along with their synergistic potential to provide multi-dimensional characterisation of ENM-biomembrane interactions for robust health risk assessment algorithms.
工程纳米材料与双层脂质膜的相互作用:评估纳米颗粒毒性的筛选平台
工程纳米材料(enm)具有吸引人的功能特性,并越来越多地用于商业产品。然而,enm带来的健康风险人们知之甚少,难以评估。由于enm必须与细胞膜接触才能引起生物效应,因此需要改进测量enm -生物膜相互作用的方法。本文的目的是回顾表征enm与双层脂质膜之间相互作用的方法的现状,并介绍与纳米毒理学相关的方法的示例应用。讨论了四种方法:测量ENM通过脂质双层引起的离子泄漏的电化学方法,测量脂质体中染料泄漏的光学方法,测量水溶液和固定脂质双层之间ENM分布系数的分配方法,以及能够预测ENM与生物膜之间基本分子相互作用的理论模型。对于每种方法,总结了当前的文献,给出了最近的结果,并分析了未来的前景,包括在高通量模式中使用的潜力。讨论了各种方法的相对优势,以及它们的协同潜力,为稳健的健康风险评估算法提供enm -生物膜相互作用的多维特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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