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  5. A human organoid model of alveolar regeneration reveals distinct epithelial responses to interferon-gamma

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Preprint
en
2025

A human organoid model of alveolar regeneration reveals distinct epithelial responses to interferon-gamma

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0 Files

en
2025
DOI: 10.1101/2025.01.30.635624

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Hans Clevers
Hans Clevers

Utrecht University

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Antonella F. M. Dost
Katarína Balážová
Carla Pou Casellas
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Abstract

Abstract Chronic obstructive pulmonary disease is characterized by inflammation and emphysema, leading to progressive alveolar destruction. Currently, no therapies effectively regenerate the alveolar epithelium. Here, we describe a feeder- and serum-free primary adult human organoid model to investigate how inflammation influences alveolar regeneration. We achieve long-term expansion of multipotent progenitor-like cells, while an alveolar type 2 (AT2) maturation protocol enhances surfactant production and supports tubular myelin formation. Introducing a LATS inhibitor to the expansion condition induces alveolar type 1 (AT1) differentiation while maintaining AT2 cells. Using this platform, we find that interferon-gamma exerts cytotoxic effects on AT1 cells while promoting the growth of regenerating AT2 cells, illustrating how a single inflammatory stimulus can have divergent effects on alveolar epithelial cell types. These findings underscore the nuanced influence of pro-inflammatory cytokines on alveolar regeneration. Our organoid model provides a reductionist platform for mechanistic studies, aimed to identify strategies to enhance alveolar regeneration.

How to cite this publication

Antonella F. M. Dost, Katarína Balážová, Carla Pou Casellas, Lisanne M. van Rooijen, Wisse Epskamp, Gijs J.F. van Son, Willine J. van de Wetering, Carmen Lopez-Iglesias, Harry Begthel, Peter J. Peters, Niels Smakman, Johan H. van Es, Hans Clevers (2025). A human organoid model of alveolar regeneration reveals distinct epithelial responses to interferon-gamma. , DOI: https://doi.org/10.1101/2025.01.30.635624.

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Publication Details

Type

Preprint

Year

2025

Authors

13

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1101/2025.01.30.635624

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