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Prediction of Chronic Inflammation for Inhaled Particles: the Impact of Material Cycling and Quarantining in the Lung Epithelium
Advanced Materials ( IF 27.4 ) Pub Date : 2020-10-19 , DOI: 10.1002/adma.202003913
Hana Kokot 1, 2 , Boštjan Kokot 1, 3 , Aleksandar Sebastijanović 1, 2 , Carola Voss 4 , Rok Podlipec 1, 5 , Patrycja Zawilska 1 , Trine Berthing 6 , Carolina Ballester-López 4 , Pernille Høgh Danielsen 6 , Claudia Contini 7 , Mikhail Ivanov 8 , Ana Krišelj 1 , Petra Čotar 1, 9 , Qiaoxia Zhou 4, 10 , Jessica Ponti 11 , Vadim Zhernovkov 12 , Matthew Schneemilch 7 , Zahra Doumandji 13 , Mojca Pušnik 14 , Polona Umek 1 , Stane Pajk 1, 14 , Olivier Joubert 13 , Otmar Schmid 4 , Iztok Urbančič 1 , Martin Irmler 15 , Johannes Beckers 15, 16, 17 , Vladimir Lobaskin 18 , Sabina Halappanavar 19 , Nick Quirke 7 , Alexander P Lyubartsev 8 , Ulla Vogel 6 , Tilen Koklič 1 , Tobias Stoeger 4 , Janez Štrancar 1
Affiliation  

On a daily basis, people are exposed to a multitude of health‐hazardous airborne particulate matter with notable deposition in the fragile alveolar region of the lungs. Hence, there is a great need for identification and prediction of material‐associated diseases, currently hindered due to the lack of in‐depth understanding of causal relationships, in particular between acute exposures and chronic symptoms. By applying advanced microscopies and omics to in vitro and in vivo systems, together with in silico molecular modeling, it is determined herein that the long‐lasting response to a single exposure can originate from the interplay between the newly discovered nanomaterial quarantining and nanomaterial cycling between different lung cell types. This new insight finally allows prediction of the spectrum of lung inflammation associated with materials of interest using only in vitro measurements and in silico modeling, potentially relating outcomes to material properties for a large number of materials, and thus boosting safe‐by‐design‐based material development. Because of its profound implications for animal‐free predictive toxicology, this work paves the way to a more efficient and hazard‐free introduction of numerous new advanced materials into our lives.

中文翻译:

吸入颗粒慢性炎症的预测:肺上皮中物质循环和隔离的影响

人们每天都会接触到大量危害健康的空气中颗粒物,这些颗粒物沉积在脆弱的肺泡区域。因此,非常需要对物质相关疾病的识别和预测,目前由于缺乏对因果关系的深入了解,特别是急性暴露与慢性症状之间的因果关系而受到阻碍。通过将先进的显微镜和组学应用于体外和体内系统,连同计算机分子建模,本文确定对单次暴露的长期反应可能源于新发现的纳米材料隔离和纳米材料之间的循环之间的相互作用。不同的肺细胞类型。这一新见解最终允许仅使用体外测量和计算机模拟来预测与感兴趣的材料相关的肺部炎症谱,可能将结果与大量材料的材料特性相关联,从而促进基于设计的安全性物质发展。由于其对无动物预测毒理学的深远影响,这项工作为将众多新的先进材料更有效和无害地引入我们的生活铺平了道路。
更新日期:2020-11-25
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