Prediction of Chronic Inflammation for Inhaled Particles: the Impact of Material Cycling and Quarantining in the Lung Epithelium

Autor: Joubert, Olivier, Kokot, Hana, Kokot, Boštjan, Sebastijanović, Aleksandar, Voss, Carola, Podlipec, Rok, Zawilska, Patrycja, Berthing, Trine, Ballester-López, 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, Schmid, Otmar, Urbančič, Iztok, Irmler, Martin, Beckers, Johannes, Lobaskin, Vladimir, Halappanavar, Sabina, Quirke, Nick, Lyubartsev, Alexander, Vogel, Ulla, Koklič, Tilen, Stoeger, Tobias, Štrancar, Janez, Ballester‐López, Carolina
Přispěvatelé: Institut Jean Lamour (IJL), Université de Lorraine (UL)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Commission of the European Communities
Rok vydání: 2020
Předmět:
MESH: Inflammation
Technology
material safety and health hazards
Chemistry
Multidisciplinary

[SDV]Life Sciences [q-bio]
02 engineering and technology
Advanced materials
01 natural sciences
09 Engineering
Epithelium
NANOPARTICLES
General Materials Science
Lung
02 Physical Sciences
Single exposure
Chemistry
Physical

Physics
HAZARD
advanced microscopies
021001 nanoscience & nanotechnology
Material development
adverse outcome pathways
3. Good health
ddc
Chemistry
Physics
Condensed Matter

CHEMICAL SAFETY
Inhalation
MESH: Particulate Matter
Advanced Microscopies
Adverse Outcome Pathways
Disease Prediction
Material Safety And Health Hazards
Mode Of Action
Mechanics of Materials
Lung epithelium
Physical Sciences
Science & Technology - Other Topics
MESH: Inhalation
Safety
medicine.symptom
03 Chemical Sciences
0210 nano-technology
NANOTOXICOLOGY
disease prediction
Materials science
In silico
Materials Science
Materials Science
Multidisciplinary

Inflammation
Computational biology
Predictive toxicology
010402 general chemistry
Physics
Applied

ACTIN
mode of action
MESH: Computer Simulation
Toxicity Tests
medicine
Computer Simulation
MESH: Lung
EXPOSURE
MESH: Particle Size
Nanoscience & Nanotechnology
Particle Size
MESH: Toxicity Tests
NANOMATERIALS
Science & Technology
Mechanical Engineering
MESH: Chronic Disease
MESH: Safety
0104 chemical sciences
MESH: Epithelium
MOLECULAR-DYNAMICS
Chronic Disease
Particulate Matter
MATTER
RESPONSES
Zdroj: Advanced Materials
Advanced Materials, Wiley-VCH Verlag, 2020, 32 (47), pp.2003913. ⟨10.1002/adma.202003913⟩
Adv. Mater. 32:e2003913 (2020)
ISSN: 0935-9648
1521-4095
DOI: 10.1002/adma.202003913
Popis: International audience; 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.
Databáze: OpenAIRE