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A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a fatal fibrotic lung disease with few effective therapeutic options. Recently, drug repositioning, which involves identifying novel therapeutic potentials for existing drugs, has been popularized as a new approach for the development of novel thera...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236721/ https://www.ncbi.nlm.nih.gov/pubmed/37269004 http://dx.doi.org/10.1186/s12931-023-02446-x |
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author | Imakura, Takeshi Sato, Seidai Koyama, Kazuya Ogawa, Hirohisa Niimura, Takahiro Murakami, Kojin Yamashita, Yuya Haji, Keiko Naito, Nobuhito Kagawa, Kozo Kawano, Hiroshi Zamami, Yoshito Ishizawa, Keisuke Nishioka, Yasuhiko |
author_facet | Imakura, Takeshi Sato, Seidai Koyama, Kazuya Ogawa, Hirohisa Niimura, Takahiro Murakami, Kojin Yamashita, Yuya Haji, Keiko Naito, Nobuhito Kagawa, Kozo Kawano, Hiroshi Zamami, Yoshito Ishizawa, Keisuke Nishioka, Yasuhiko |
author_sort | Imakura, Takeshi |
collection | PubMed |
description | BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a fatal fibrotic lung disease with few effective therapeutic options. Recently, drug repositioning, which involves identifying novel therapeutic potentials for existing drugs, has been popularized as a new approach for the development of novel therapeutic reagents. However, this approach has not yet been fully utilized in the field of pulmonary fibrosis. METHODS: The present study identified novel therapeutic options for pulmonary fibrosis using a systematic computational approach for drug repositioning based on integration of public gene expression signatures of drug and diseases (in silico screening approach). RESULTS: Among the top compounds predicted to be therapeutic for IPF by the in silico approach, we selected BI2536, a polo-like kinase (PLK) 1/2 inhibitor, as a candidate for treating pulmonary fibrosis using an in silico analysis. However, BI2536 accelerated mortality and weight loss rate in an experimental mouse model of pulmonary fibrosis. Because immunofluorescence staining revealed that PLK1 expression was dominant in myofibroblasts while PLK2 expression was dominant in lung epithelial cells, we next focused on the anti-fibrotic effect of the selective PLK1 inhibitor GSK461364. Consequently, GSK461364 attenuated pulmonary fibrosis with acceptable mortality and weight loss in mice. CONCLUSIONS: These findings suggest that targeting PLK1 may be a novel therapeutic approach for pulmonary fibrosis by inhibiting lung fibroblast proliferation without affecting lung epithelial cells. In addition, while in silico screening is useful, it is essential to fully determine the biological activities of candidates by wet-lab validation studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02446-x. |
format | Online Article Text |
id | pubmed-10236721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102367212023-06-03 A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis Imakura, Takeshi Sato, Seidai Koyama, Kazuya Ogawa, Hirohisa Niimura, Takahiro Murakami, Kojin Yamashita, Yuya Haji, Keiko Naito, Nobuhito Kagawa, Kozo Kawano, Hiroshi Zamami, Yoshito Ishizawa, Keisuke Nishioka, Yasuhiko Respir Res Research BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a fatal fibrotic lung disease with few effective therapeutic options. Recently, drug repositioning, which involves identifying novel therapeutic potentials for existing drugs, has been popularized as a new approach for the development of novel therapeutic reagents. However, this approach has not yet been fully utilized in the field of pulmonary fibrosis. METHODS: The present study identified novel therapeutic options for pulmonary fibrosis using a systematic computational approach for drug repositioning based on integration of public gene expression signatures of drug and diseases (in silico screening approach). RESULTS: Among the top compounds predicted to be therapeutic for IPF by the in silico approach, we selected BI2536, a polo-like kinase (PLK) 1/2 inhibitor, as a candidate for treating pulmonary fibrosis using an in silico analysis. However, BI2536 accelerated mortality and weight loss rate in an experimental mouse model of pulmonary fibrosis. Because immunofluorescence staining revealed that PLK1 expression was dominant in myofibroblasts while PLK2 expression was dominant in lung epithelial cells, we next focused on the anti-fibrotic effect of the selective PLK1 inhibitor GSK461364. Consequently, GSK461364 attenuated pulmonary fibrosis with acceptable mortality and weight loss in mice. CONCLUSIONS: These findings suggest that targeting PLK1 may be a novel therapeutic approach for pulmonary fibrosis by inhibiting lung fibroblast proliferation without affecting lung epithelial cells. In addition, while in silico screening is useful, it is essential to fully determine the biological activities of candidates by wet-lab validation studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02446-x. BioMed Central 2023-06-02 2023 /pmc/articles/PMC10236721/ /pubmed/37269004 http://dx.doi.org/10.1186/s12931-023-02446-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Imakura, Takeshi Sato, Seidai Koyama, Kazuya Ogawa, Hirohisa Niimura, Takahiro Murakami, Kojin Yamashita, Yuya Haji, Keiko Naito, Nobuhito Kagawa, Kozo Kawano, Hiroshi Zamami, Yoshito Ishizawa, Keisuke Nishioka, Yasuhiko A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis |
title | A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis |
title_full | A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis |
title_fullStr | A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis |
title_full_unstemmed | A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis |
title_short | A polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis |
title_sort | polo-like kinase inhibitor identified by computational repositioning attenuates pulmonary fibrosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236721/ https://www.ncbi.nlm.nih.gov/pubmed/37269004 http://dx.doi.org/10.1186/s12931-023-02446-x |
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