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首页> 外文期刊>International journal of biomedical nanoscience and nanotechnology >Engineered nanomaterial interactions with bilayer lipid membranes: screening platforms to assess nanoparticle toxicity
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Engineered nanomaterial interactions with bilayer lipid membranes: screening platforms to assess nanoparticle toxicity

机译：工程化的纳米材料与双层脂质膜的相互作用：筛选平台以评估纳米颗粒的毒性

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摘要

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.
机译：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中。然而，ENMs带来的健康风险尚不为人所知，并且难以评估。由于ENM必须与细胞膜接触才能引起生物学效应，因此需要改进的方法来测量ENM与生物膜的相互作用。本文的目的是综述表征ENM和模拟细胞膜的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：电化学方法（测量通过脂质双层的ENM引起的离子泄漏），光学方法（测量从脂质体中的染料泄漏），分配方法（用于测量水溶液和固定的脂质双层之间的ENM分配系数）以及能够预测基本分子的理论模型ENM和生物膜之间的相互作用。对于每种方法，都总结了当前的文献，给出了近期的结果，并对未来的前景进行了分析，包括在高通量模式下使用的潜力。讨论了各种方法的相对优势，以及它们的协同潜力，可为健壮的健康风险评估算法提供ENM-生物膜相互作用的多维表征。

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