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Nanomaterial libraries and model organisms for rapid high-content analysis of nanosafety

National Science Review 2018年第3期5卷 365-388页

作者： Yiye Li Jing Wang Feng Zhao Bing Bai Guangjun Nie André E.Nel Yuliang Zhao CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety Institute of High Energy Physics Chinese Academy of Sciences University of Chinese Academy of Sciences Division of Nano Medicine Department of Medicine and California Nano Systems Institute University of California

Safety analysis of engineered nanomaterials(ENMs) presents a formidable challenge regarding environmental health and safety, due to their complicated and diverse physicochemical *** large amounts of data have been published regarding the potential hazards of these materials, we still lack a comprehensive strategy for their safety assessment, which generates a huge workload in decision-making. Thus, an integrated approach is urgently required by government, industry, academia and all others who deal with the safe implementation of nanomaterials on their way to the marketplace. The rapid emergence and sheer number of new nanomaterials with novel properties demands rapid and high-content screening(HCS), which could be performed on multiple materials to assess their safety and generate large data sets for integrated decision-making. With this approach, we have to consider reducing and replacing the commonly used rodent models, which are expensive, time-consuming, and not amenable to high-throughput screening and analysis. In this review, we present a ‘library integration approach’ for high-content safety analysis relevant to the ENMs. We propose the integration of compositional and property-based ENM libraries for HCS of cells and biologically relevant organisms to be screened for mechanistic biomarkers that can be used to generate data for HCS and decision analysis. This systematic approach integrates the use of material and biological libraries, automated HCS and high-content data analysis to provide predictions about the environmental impact of large numbers of ENMs in various categories. This integrated approach also allows the safer design of ENMs, which is relevant to the implementation of nanotechnology solutions in the pharmaceutical industry.

关键词： analysis method nanosafety assessment library integration approach high-content screening nanomaterials

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