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Prediction of Chronic Inflammation for Inhaled Particles: the Impact of Material Cycling and Quarantining in the Lung Epithelium
Author(s) -
Kokot Hana,
Kokot Boštjan,
Sebastijanović Aleksandar,
Voss Carola,
Podlipec Rok,
Zawilska Patrycja,
Berthing Trine,
BallesterLópez Carolina,
Danielsen Pernille Høgh,
Contini Claudia,
Ivanov Mikhail,
Krišelj Ana,
Čotar Petra,
Zhou Qiaoxia,
Ponti Jessica,
Zhernovkov Vadim,
Schneemilch Matthew,
Doumandji Zahra,
Pušnik Mojca,
Umek Polona,
Pajk Stane,
Joubert Olivier,
Schmid Otmar,
Urbančič Iztok,
Irmler Martin,
Beckers Johannes,
Lobaskin Vladimir,
Halappanavar Sabina,
Quirke Nick,
Lyubartsev Alexander P.,
Vogel Ulla,
Koklič Tilen,
Stoeger Tobias,
Štrancar Janez
Publication year - 2020
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.202003913
Subject(s) - in silico , inflammation , in vivo , nanotechnology , computational biology , biochemical engineering , materials science , computer science , biology , immunology , microbiology and biotechnology , engineering , biochemistry , gene
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.