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Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation

Pulmonary fibrosis represents a leading cause of morbidity and mortality worldwide. Therapy induced lung fibrosis constitutes a pivotal dose‐limiting side effect of radiotherapy and other anticancer agents. We aimed to develop objective criteria for assessment of fibrosis and discover pathophysiolog...

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Autores principales: Zhou, Cheng, Moustafa, Mahmoud R., Cao, Liji, Kriegsmann, Mark, Winter, Martin, Schwager, Christian, Jones, Bleddyn, Wang, Shijun, Bäuerle, Tobias, Zhou, Ping‐Kun, Schnölzer, Martina, Weichert, Wilko, Debus, Juergen, Abdollahi, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590477/
https://www.ncbi.nlm.nih.gov/pubmed/30536712
http://dx.doi.org/10.1002/ijc.32059
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author Zhou, Cheng
Moustafa, Mahmoud R.
Cao, Liji
Kriegsmann, Mark
Winter, Martin
Schwager, Christian
Jones, Bleddyn
Wang, Shijun
Bäuerle, Tobias
Zhou, Ping‐Kun
Schnölzer, Martina
Weichert, Wilko
Debus, Juergen
Abdollahi, Amir
author_facet Zhou, Cheng
Moustafa, Mahmoud R.
Cao, Liji
Kriegsmann, Mark
Winter, Martin
Schwager, Christian
Jones, Bleddyn
Wang, Shijun
Bäuerle, Tobias
Zhou, Ping‐Kun
Schnölzer, Martina
Weichert, Wilko
Debus, Juergen
Abdollahi, Amir
author_sort Zhou, Cheng
collection PubMed
description Pulmonary fibrosis represents a leading cause of morbidity and mortality worldwide. Therapy induced lung fibrosis constitutes a pivotal dose‐limiting side effect of radiotherapy and other anticancer agents. We aimed to develop objective criteria for assessment of fibrosis and discover pathophysiological and molecular correlates of lung fibrosis as a function of fractionated whole thoracic irradiation. Dose–response series of fractionated irradiation was utilized to develop a non‐invasive and quantitative measure for the degree of fibrosis – the fibrosis index (FI). The correlation of FI with histopathology, blood‐gas, transcriptome and proteome responses of the lung tissue was analyzed. Macrophages infiltration and polarization was assessed by immunohistochemistry. Fibrosis development followed a slow kinetic with maximum lung fibrosis levels detected at 24‐week post radiation insult. FI favorably correlated with radiation dose and surrogates of lung fibrosis i.e., enhanced pro‐inflammatory response, tissue remodeling and extracellular matrix deposition. The loss of lung architecture correlated with decreased epithelial marker, loss of microvascular integrity with decreased endothelial and elevated mesenchymal markers. Lung fibrosis was further attributed to a switch of the inflammatory state toward a macrophage/T‐helper cell type 2‐like (M2/Th2) polarized phenotype. Together, the multiscale characterization of FI in radiation‐induced lung fibrosis (RILF) model identified pathophysiological, transcriptional and proteomic correlates of fibrosis. Pathological immune response and endothelial/epithelial to mesenchymal transition were discovered as critical events governing lung tissue remodeling. FI will be instrumental for deciphering the molecular mechanisms governing lung fibrosis and discovery of novel targets for treatment of this devastating disease with an unmet medical need.
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spelling pubmed-65904772019-07-08 Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation Zhou, Cheng Moustafa, Mahmoud R. Cao, Liji Kriegsmann, Mark Winter, Martin Schwager, Christian Jones, Bleddyn Wang, Shijun Bäuerle, Tobias Zhou, Ping‐Kun Schnölzer, Martina Weichert, Wilko Debus, Juergen Abdollahi, Amir Int J Cancer Cancer Therapy and Prevention Pulmonary fibrosis represents a leading cause of morbidity and mortality worldwide. Therapy induced lung fibrosis constitutes a pivotal dose‐limiting side effect of radiotherapy and other anticancer agents. We aimed to develop objective criteria for assessment of fibrosis and discover pathophysiological and molecular correlates of lung fibrosis as a function of fractionated whole thoracic irradiation. Dose–response series of fractionated irradiation was utilized to develop a non‐invasive and quantitative measure for the degree of fibrosis – the fibrosis index (FI). The correlation of FI with histopathology, blood‐gas, transcriptome and proteome responses of the lung tissue was analyzed. Macrophages infiltration and polarization was assessed by immunohistochemistry. Fibrosis development followed a slow kinetic with maximum lung fibrosis levels detected at 24‐week post radiation insult. FI favorably correlated with radiation dose and surrogates of lung fibrosis i.e., enhanced pro‐inflammatory response, tissue remodeling and extracellular matrix deposition. The loss of lung architecture correlated with decreased epithelial marker, loss of microvascular integrity with decreased endothelial and elevated mesenchymal markers. Lung fibrosis was further attributed to a switch of the inflammatory state toward a macrophage/T‐helper cell type 2‐like (M2/Th2) polarized phenotype. Together, the multiscale characterization of FI in radiation‐induced lung fibrosis (RILF) model identified pathophysiological, transcriptional and proteomic correlates of fibrosis. Pathological immune response and endothelial/epithelial to mesenchymal transition were discovered as critical events governing lung tissue remodeling. FI will be instrumental for deciphering the molecular mechanisms governing lung fibrosis and discovery of novel targets for treatment of this devastating disease with an unmet medical need. John Wiley & Sons, Inc. 2019-01-11 2019-06-15 /pmc/articles/PMC6590477/ /pubmed/30536712 http://dx.doi.org/10.1002/ijc.32059 Text en © 2018 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Cancer Therapy and Prevention
Zhou, Cheng
Moustafa, Mahmoud R.
Cao, Liji
Kriegsmann, Mark
Winter, Martin
Schwager, Christian
Jones, Bleddyn
Wang, Shijun
Bäuerle, Tobias
Zhou, Ping‐Kun
Schnölzer, Martina
Weichert, Wilko
Debus, Juergen
Abdollahi, Amir
Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation
title Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation
title_full Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation
title_fullStr Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation
title_full_unstemmed Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation
title_short Modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation
title_sort modeling and multiscale characterization of the quantitative imaging based fibrosis index reveals pathophysiological, transcriptome and proteomic correlates of lung fibrosis induced by fractionated irradiation
topic Cancer Therapy and Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590477/
https://www.ncbi.nlm.nih.gov/pubmed/30536712
http://dx.doi.org/10.1002/ijc.32059
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