Amorim Mónica J B, Roca Carlos P, Scott-Fordsmand Janeck J
University of Aveiro, Department of Biology & CESAM, Aveiro, Portugal.
Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain.
Environ Pollut. 2016 Nov;218:1370-1375. doi: 10.1016/j.envpol.2015.08.048. Epub 2015 Nov 6.
Engineered Nanoparticles (ENPs) present novel/added challenges to the established effect assessment modus operandi, requiring an update of used methods. ENPs are dimensionally and physically different from conventional chemicals, which imply that the metrics with which we relate effect and the type of effect responses are different from that of the conventional approach. Effects on organisms are often preceded by changes on the sub-organismal level (cell, genes), dedicated tools have vast potential to detect earlier (and link to) effects on higher levels of organization. High-throughput screening (HTS) is rapid, cost-effective and specific. One way forward is to link HTS to population outcomes, targeting a systems toxicology approach. Although the benefits of integrating various levels of information may seem obvious, this is an even more decisive aspect when rapid answers are needed for ENPs. Here we rank the available tools/methods, highlight main study gaps and list priority needs and the way forward.
工程纳米颗粒（ENPs）给既定的效应评估操作方法带来了新的/额外的挑战，需要更新所使用的方法。ENPs在尺寸和物理性质上与传统化学品不同，这意味着我们关联效应的指标以及效应响应的类型与传统方法不同。对生物体的影响通常先于亚生物体水平（细胞、基因）的变化，专用工具在检测更高组织水平上的早期影响（并与之建立联系）方面具有巨大潜力。高通量筛选（HTS）快速、经济高效且具有特异性。一种前进的方法是将HTS与种群结果联系起来，采用系统毒理学方法。尽管整合不同层次信息的好处似乎显而易见，但在需要对ENPs快速给出答案时，这是一个更具决定性的方面。在此，我们对可用工具/方法进行排名，突出主要研究差距，并列出优先需求和前进方向。
