Toxicogenomic Profiling of 28 Nanomaterials in Mouse Airways

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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 .

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
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
221 Nano-technology
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion

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