Open Access System for Information Sharing

Login Library

 

Article
Cited 2 time in webofscience Cited 3 time in scopus
Metadata Downloads

3D pulmonary fibrosis model for anti-fibrotic drug discovery by inkjet-bioprinting SCIE SCOPUS

Title
3D pulmonary fibrosis model for anti-fibrotic drug discovery by inkjet-bioprinting
Authors
KANG, DAYOONLEE, LEEYUNJIKIM, WOOKYEOMLee, Hwa-RimJUNG, SUNGJUNE
Date Issued
2023-01
Publisher
Institute of Physics Publishing
Abstract
Pulmonary fibrosis (PF) is known as a chronic and irreversible disease characterized by excessive extracellular matrix accumulation and lung architecture changes. Large efforts have been made to develop prospective treatments and study the etiology of pulmonary fibrotic diseases utilizing animal models and spherical organoids. As part of these efforts, we created an all-inkjet-printed three-dimensional (3D) alveolar barrier model that can be used for anti-fibrotic drug discovery. Then, we developed a PF model by treating the 3D alveolar barrier with pro-fibrotic cytokine and confirmed that it is suitable for the fibrosis model by observing changes in structural deposition, pulmonary function, epithelial-mesenchymal transition, and fibrosis markers. The model was tested with two approved anti-fibrotic drugs, and we could observe that the symptoms in the disease model were alleviated. Consequently, structural abnormalities and changes in mRNA expression were found in the induced fibrosis model, which were shown to be recovered in all drug treatment groups. The all-inkjet-printed alveolar barrier model was reproducible for disease onset and therapeutic effects in the human body. This finding emphasized that the in vitro artificial tissue with faithfully implemented 3D microstructures using bioprinting technology may be employed as a novel testing platform and disease model to evaluate potential drug efficacy.
URI
https://oasis.postech.ac.kr/handle/2014.oak/119756
DOI
10.1088/1748-605X/aca8e3
ISSN
1748-6041
Article Type
Article
Citation
Biomedical Materials (Bristol), vol. 18, no. 1, 2023-01
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Views & Downloads

Browse