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タイトル: Organoids and microphysiological systems for pharmaceutical research of viral respiratory infections
著者: Deguchi, Sayaka
Yokoi, Fuki
Takayama, Kazuo
著者名の別形: 出口, 清香
横井, 歩希
高山, 和雄
キーワード: Microphysiological systems
Organ-on-a-chip
Organoids
Viral respiratory infections
SARS-CoV-2
COVID-19
iPS cells
発行日: Feb-2025
出版者: Elsevier BV
誌名: Drug Metabolism and Pharmacokinetics
巻: 60
論文番号: 101041
抄録: In the pharmaceutical research of viral respiratory infections, cell culture models have traditionally been used to evaluate the therapeutic effects of candidate compounds. Although cell lines are easy to handle and cost-effective, they do not fully replicate the characteristics of human respiratory organs. Recently, organoids and microphysiological systems (MPS) have been employed to overcome this limitation for in vitro testing of drugs against viral respiratory infections. Advanced disease modeling using organoids, self-organized three-dimensional (3D) cell culture models derived from stem cells, or MPS, models for culturing multiple cell types in a microfluidic device and capable of recapitulating a physiological 3D dynamic environment, can accurately replicate the complex functions of respiratory organs, thus making them valuable tools for elucidating the organ damages caused by viral respiratory infections and evaluating the efficacy of candidate drugs against them. Recently, a wide range of organoids and MPS have been developed to model the complex pathophysiology caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and assess therapeutic drugs. In this review, we evaluate the latest pharmaceutical research on coronavirus disease 2019 (COVID-19) that utilizes organoids and MPS and discuss future perspectives of their applications.
著作権等: © 2025 The Japanese Society for the Study of Xenobiotics.
Published by Elsevier Ltd.
This is an open access article under the CC BY license.
URI: http://hdl.handle.net/2433/291784
DOI(出版社版): 10.1016/j.dmpk.2024.101041
PubMed ID: 39847975
出現コレクション:学術雑誌掲載論文等

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