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An in vivo screening platform identifies senolytic compounds that target p16INK4a+ fibroblasts in lung fibrosis
Jin Young Lee, … , Michelle R. Arkin, Tien Peng
Jin Young Lee, … , Michelle R. Arkin, Tien Peng
Published March 7, 2024
Citation Information: J Clin Invest. 2024;134(9):e173371. https://doi.org/10.1172/JCI173371.
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Research Article Aging Pulmonology Article has an altmetric score of 17

An in vivo screening platform identifies senolytic compounds that target p16INK4a+ fibroblasts in lung fibrosis

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Abstract

The appearance of senescent cells in age-related diseases has spurred the search for compounds that can target senescent cells in tissues, termed senolytics. However, a major caveat with current senolytic screens is the use of cell lines as targets where senescence is induced in vitro, which does not necessarily reflect the identity and function of pathogenic senescent cells in vivo. Here, we developed a new pipeline leveraging a fluorescent murine reporter that allows for isolation and quantification of p16Ink4a+ cells in diseased tissues. By high-throughput screening in vitro, precision-cut lung slice (PCLS) screening ex vivo, and phenotypic screening in vivo, we identified a HSP90 inhibitor, XL888, as a potent senolytic in tissue fibrosis. XL888 treatment eliminated pathogenic p16Ink4a+ fibroblasts in a murine model of lung fibrosis and reduced fibrotic burden. Finally, XL888 preferentially targeted p16INK4a-hi human lung fibroblasts isolated from patients with idiopathic pulmonary fibrosis (IPF), and reduced p16INK4a+ fibroblasts from IPF PCLS ex vivo. This study provides proof of concept for a platform where p16INK4a+ cells are directly isolated from diseased tissues to identify compounds with in vivo and ex vivo efficacy in mice and humans, respectively, and provides a senolytic screening platform for other age-related diseases.

Authors

Jin Young Lee, Nabora S. Reyes, Supriya Ravishankar, Minqi Zhou, Maria Krasilnikov, Christian Ringler, Grace Pohan, Chris Wilson, Kenny Kean-Hooi Ang, Paul J. Wolters, Tatsuya Tsukui, Dean Sheppard, Michelle R. Arkin, Tien Peng

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ISSN: 0021-9738 (print), 1558-8238 (online)

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