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Lookup NU author(s): Ivo Djidrovski, Dr Maria Georgiou, Elena Tasinato, Professor Majlinda LakoORCiD, Professor Lyle Armstrong
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2022, The Author(s).Abstract: The airway epithelium represents the main barrier between inhaled air and the tissues of the respiratory tract and is therefore an important point of contact with xenobiotic substances into the human body. Several studies have recently shown that in vitro models of the airway grown at an air–liquid interface (ALI) can be particularly useful to obtain mechanistic information about the toxicity of chemical compounds. However, such methods are not very amenable to high throughput since the primary cells cannot be expanded indefinitely in culture to obtain a sustainable number of cells. Induced pluripotent stem cells (iPSCs) have become a popular option in the recent years for modelling the airways of the lung, but despite progress in the field, such models have so far not been assessed for their ability to metabolise xenobiotic compounds and how they compare to the primary bronchial airway model (pBAE). Here, we report a comparative analysis by TempoSeq (oligo-directed sequencing) of an iPSC-derived airway model (iBAE) with a primary bronchial airway model (pBAE). The iBAE and pBAE were differentiated at an ALI and then evaluated in a 5-compound screen with exposure to a sub-lethal concentration of each compound for 24 h. We found that despite lower expression of xenobiotic metabolism genes, the iBAE similarly predicted the toxic pathways when compared to the pBAE model. Our results show that iPSC airway models at ALI show promise for inhalation toxicity assessments with further development. Graphical abstract: [Figure not available: see fulltext.].
Author(s): Djidrovski I, Georgiou M, Tasinato E, Leonard MO, Van den Bor J, Lako M, Armstrong L
Publication type: Article
Publication status: Published
Journal: Cell Biology and Toxicology
Year: 2023
Volume: 39
Pages: 1-18
Print publication date: 01/02/2023
Online publication date: 31/05/2022
Acceptance date: 11/05/2022
Date deposited: 15/06/2023
ISSN (print): 0742-2091
ISSN (electronic): 1573-6822
Publisher: Springer Science and Business Media B.V.
URL: https://doi.org/10.1007/s10565-022-09726-0
DOI: 10.1007/s10565-022-09726-0
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