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Disease Prediction: Prediction of Chronic Inflammation for Inhaled Particles: the Impact of Material Cycling and Quarantining in the Lung Epithelium (Adv. Mater. 47/2020)
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.202070353
Subject(s) - inflammation , in vivo , nanomaterials , materials science , cycling , nanotechnology , nanotoxicology , biology , immunology , nanoparticle , history , archaeology , microbiology and biotechnology
The prediction of diseases associated with nanomaterials is currently hampered by an incomplete understanding of the underlying mechanisms. Newly discovered nanomaterial quarantining and counteracting nanomaterial cycling fill that gap allowing Tilen Koklič, Tobias Stoeger, Janez Štrancar, and co‐workers to incorporate these main modes of cellular response into a mechanistic model and predict in vivo inflammation solely on animal‐free in vitro tests, as described in article number 2003913.