Center for Medical Research, Medical University of Graz, Stiftingtalstr. 24, 8010, Graz, Austria.
J Nanobiotechnology. 2017 Nov 21;15(1):84. doi: 10.1186/s12951-017-0320-3.
Nanotechnology is regarded as a key technology of the twenty-first century. Despite the many advantages of nanotechnology it is also known that engineered nanoparticles (NPs) may cause adverse health effects in humans. Reports on toxic effects of NPs relay mainly on conventional (phenotypic) testing but studies of changes in epigenome, transcriptome, proteome, and metabolome induced by NPs have also been performed. NPs most relevant for human exposure in consumer, health and food products are metal, metal oxide and carbon-based NPs. They were also studied quite frequently with omics technologies and an overview of the study results can serve to answer the question if screening for established targets of nanotoxicity (e.g. cell death, proliferation, oxidative stress, and inflammation) is sufficient or if omics techniques are needed to reveal new targets. Regulated pathways identified by omics techniques were confirmed by phenotypic assays performed in the same study and comparison of particle types and cells by the same group indicated a more cell/organ-specific than particle specific regulation pattern. Between different studies moderate overlap of the regulated pathways was observed and cell-specific regulation is less obvious. The lack of standardization in particle exposure, in omics technologies, difficulties to translate mechanistic data to phenotypes and comparison with human in vivo data currently limit the use of these technologies in the prediction of toxic effects by NPs.
纳米技术被认为是 21 世纪的关键技术之一。尽管纳米技术有许多优势,但也知道工程纳米颗粒(NPs)可能会对人类健康造成不良影响。关于 NPs 毒性作用的报告主要依赖于常规(表型)测试,但也已经进行了研究 NPs 诱导的表观基因组、转录组、蛋白质组和代谢组变化。在消费品、健康和食品产品中与人类暴露最相关的 NPs 是金属、金属氧化物和基于碳的 NPs。它们也经常使用组学技术进行研究,对研究结果的概述可以回答这样一个问题,即筛选已建立的纳米毒性目标(例如细胞死亡、增殖、氧化应激和炎症)是否足够,还是需要组学技术来揭示新的目标。通过组学技术确定的调控途径通过同一研究中进行的表型测定得到了证实,并且同一组中对颗粒类型和细胞的比较表明,调控模式比颗粒特异性更具有细胞/器官特异性。在不同的研究中,观察到调控途径的适度重叠,而细胞特异性调控则不太明显。目前,颗粒暴露的标准化不足、组学技术的困难以及将机制数据转化为表型并与人类体内数据进行比较,限制了这些技术在预测 NPs 毒性作用中的应用。