a Physical Intelligence Department , Max Planck Institute for Intelligent Systems , Stuttgart , Germany.
b Department of Chemical and Product Safety , German Federal Institute for Risk Assessment (BfR) , Berlin , Germany.
Toxicol Mech Methods. 2019 Jun;29(5):378-387. doi: 10.1080/15376516.2019.1566425. Epub 2019 Feb 12.
Nanotoxicology and nanosafety has been a topic of intensive research for about more than 20 years. Nearly 10 000 research papers have been published on the topic, yet there exists a gap in terms of understanding and ways to harmonize nanorisk assessment. In this review, we revisit critically ignored parameters of nanoscale materials (e.g. band gap factor, phase instability and silver leaching problem, defect and instability plasmonic versus inorganic particles) versus their biological counterparts (cell batch-to-batch heterogeneity, biological barrier model design, cellular functional characteristics) which yield variability and nonuniformity in results. We also emphasize system biology approaches to integrate the high throughput screening methods coupled with in vivo and in silico modeling to ensure quality in nanosafety research. We emphasize and highlight the recommendation regarding bridging the mechanistic gaps in fundamental research and predictive biological response in nanotoxicology. The research community has to develop visions to predict the unforeseen problems that do not exist yet in context with nanotoxicity and public health hazards due to the burgeoning use of nanomaterial in consumer's product.
纳米毒理学和纳米安全性已经成为 20 多年来密集研究的课题。已有近 10000 篇关于该主题的研究论文发表,但在理解纳米风险评估的方法和方式上仍存在差距。在这篇综述中,我们批判性地重新审视了纳米尺度材料(如带隙因子、相不稳定和银浸出问题、缺陷和不稳定等离子体与无机颗粒)被忽略的参数,以及它们的生物对应物(细胞批次间异质性、生物屏障模型设计、细胞功能特性),这些因素导致结果的可变性和不均匀性。我们还强调了系统生物学方法,将高通量筛选方法与体内和计算模型相结合,以确保纳米安全性研究的质量。我们强调并突出了有关弥合基础研究中机制差距和纳米毒性及公众健康危害中预测性生物学反应的建议。由于纳米材料在消费者产品中的使用日益增多,研究界必须制定出预测尚未出现的问题的愿景,这些问题与纳米毒性和公共健康危害有关。