Kinaret , P A S , Ndika , J , Ilves , M , Wolff , H , Vales , G , Norppa , H , Savolainen , K , Skoog , T , Kere , J , Moya , S , Handy , R D , Karisola , P , Fadeel , B , Greco , D & Alenius , H 2021 , ' Toxicogenomic Profiling of 28 Nanomaterials in Mouse Airways ' , Advanced Science , vol. 8 , no. 10 , 2004588 . https://doi.org/10.1002/advs.202004588
Title: | Toxicogenomic Profiling of 28 Nanomaterials in Mouse Airways |
Author: | Kinaret, Pia A. S.; Ndika, Joseph; Ilves, Marit; Wolff, Henrik; Vales, Gerard; Norppa, Hannu; Savolainen, Kai; Skoog, Tiina; Kere, Juha; Moya, Sergio; Handy, Richard D.; Karisola, Piia; Fadeel, Bengt; Greco, Dario; Alenius, Harri |
Contributor organization: | Institute of Biotechnology Helsinki Institute of Life Science HiLIFE University of Helsinki HUMI - Human Microbiome Research Research Programs Unit Juha Kere / Principal Investigator Staff Services |
Date: | 2021-05 |
Language: | eng |
Number of pages: | 15 |
Belongs to series: | Advanced Science |
ISSN: | 2198-3844 |
DOI: | https://doi.org/10.1002/advs.202004588 |
URI: | http://hdl.handle.net/10138/330489 |
Abstract: | Toxicogenomics opens novel opportunities for hazard assessment by utilizing computational methods to map molecular events and biological processes. In this study, the transcriptomic and immunopathological changes associated with airway exposure to a total of 28 engineered nanomaterials (ENM) are investigated. The ENM are selected to have different core (Ag, Au, TiO2, CuO, nanodiamond, and multiwalled carbon nanotubes) and surface chemistries (COOH, NH2, or polyethylene glycosylation (PEG)). Additionally, ENM with variations in either size (Au) or shape (TiO2) are included. Mice are exposed to 10 mu g of ENM by oropharyngeal aspiration for 4 consecutive days, followed by extensive histological/cytological analyses and transcriptomic characterization of lung tissue. The results demonstrate that transcriptomic alterations are correlated with the inflammatory cell infiltrate in the lungs. Surface modification has varying effects on the airways with amination rendering the strongest inflammatory response, while PEGylation suppresses toxicity. However, toxicological responses are also dependent on ENM core chemistry. In addition to ENM-specific transcriptional changes, a subset of 50 shared differentially expressed genes is also highlighted that cluster these ENM according to their toxicity. This study provides the largest in vivo data set currently available and as such provides valuable information to be utilized in developing predictive models for ENM toxicity. |
Subject: |
airway exposure
immunotoxicity nanomaterials nanoparticles nanotoxicology toxicogenomics transcriptomics 221 Nano-technology |
Peer reviewed: | Yes |
Rights: | cc_by |
Usage restriction: | openAccess |
Self-archived version: | publishedVersion |
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