Role of omics techniques in the toxicity testing of nanoparticles.

Role of omics techniques in the toxicity testing of nanoparticles.
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DOI:
10.1186/s12951-017-0320-3
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发表时间:
2017-11-21
影响因子:
10.2
通讯作者:
Fröhlich E
Fröhlich E
中科院分区:
工程技术1区
文献类型:
--
作者:
Fröhlich E

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纳米技术被认为是二十一世纪的关键技术。尽管纳米技术有许多优点,但我们也知道,工程纳米颗粒(NPs)可能会对人类造成不利的健康影响。关于NPs毒性效应的报道主要依赖于传统的(表型)测试,但也有关于NPs引起的表观基因组、转录组、蛋白质组和代谢组变化的研究。与人类在消费、健康和食品产品中的暴露最相关的核物质是金属、金属氧化物和碳基核素。组学技术也对它们进行了相当频繁的研究,研究结果的概述可以帮助回答这样一个问题:筛选已建立的纳米毒性靶点(例如,细胞死亡、增殖、氧化应激和炎症)是否足够,或者是否需要组学技术来揭示新的靶点。同一研究中进行的表型分析证实了组学技术确定的调控途径,并且对同一组的颗粒类型和细胞的比较表明,比起颗粒特有的调控模式,更具细胞/器官特异性。在不同的研究之间,可以观察到调节通路的适度重叠,而细胞特异性调节不那么明显。目前,在粒子暴露、组学技术方面缺乏标准化,难以将机械数据转换为表型,以及与人体体内数据的比较,限制了这些技术在预测NPs毒性效应方面的使用。
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.
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