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An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis

Pulmonary fibrosis (PF) is a heterogeneous disease with a poor prognosis. Therefore, identifying additional therapeutic modalities is required to improve outcome. However, the lack of biomarkers of disease progression hampers the preclinical to clinical translational process. Here, this work assesse...

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Autores principales: Arif, Muhammad, Basu, Abhishek, Wolf, Kaelin M., Park, Joshua K., Pommerolle, Lenny, Behee, Madeline, Gochuico, Bernadette R., Cinar, Resat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238219/
https://www.ncbi.nlm.nih.gov/pubmed/37038090
http://dx.doi.org/10.1002/advs.202207454
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author Arif, Muhammad
Basu, Abhishek
Wolf, Kaelin M.
Park, Joshua K.
Pommerolle, Lenny
Behee, Madeline
Gochuico, Bernadette R.
Cinar, Resat
author_facet Arif, Muhammad
Basu, Abhishek
Wolf, Kaelin M.
Park, Joshua K.
Pommerolle, Lenny
Behee, Madeline
Gochuico, Bernadette R.
Cinar, Resat
author_sort Arif, Muhammad
collection PubMed
description Pulmonary fibrosis (PF) is a heterogeneous disease with a poor prognosis. Therefore, identifying additional therapeutic modalities is required to improve outcome. However, the lack of biomarkers of disease progression hampers the preclinical to clinical translational process. Here, this work assesses and identifies progressive alterations in pulmonary function, transcriptomics, and metabolomics in the mouse lung at 7, 14, 21, and 28 days after a single dose of oropharyngeal bleomycin. By integrating multi‐omics data, this work identifies two central gene subnetworks associated with multiple critical pathological changes in transcriptomics and metabolomics as well as pulmonary function. This work presents a multi‐omics‐based framework to establish a translational link between the bleomycin‐induced PF model in mice and human idiopathic pulmonary fibrosis to identify druggable targets and test therapeutic candidates. This work also indicates peripheral cannabinoid receptor 1 (CB(1)R) antagonism as a rational therapeutic target for clinical translation in PF. Mouse Lung Fibrosis Atlas can be accessed freely at https://niaaa.nih.gov/mouselungfibrosisatlas.
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spelling pubmed-102382192023-06-04 An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis Arif, Muhammad Basu, Abhishek Wolf, Kaelin M. Park, Joshua K. Pommerolle, Lenny Behee, Madeline Gochuico, Bernadette R. Cinar, Resat Adv Sci (Weinh) Research Articles Pulmonary fibrosis (PF) is a heterogeneous disease with a poor prognosis. Therefore, identifying additional therapeutic modalities is required to improve outcome. However, the lack of biomarkers of disease progression hampers the preclinical to clinical translational process. Here, this work assesses and identifies progressive alterations in pulmonary function, transcriptomics, and metabolomics in the mouse lung at 7, 14, 21, and 28 days after a single dose of oropharyngeal bleomycin. By integrating multi‐omics data, this work identifies two central gene subnetworks associated with multiple critical pathological changes in transcriptomics and metabolomics as well as pulmonary function. This work presents a multi‐omics‐based framework to establish a translational link between the bleomycin‐induced PF model in mice and human idiopathic pulmonary fibrosis to identify druggable targets and test therapeutic candidates. This work also indicates peripheral cannabinoid receptor 1 (CB(1)R) antagonism as a rational therapeutic target for clinical translation in PF. Mouse Lung Fibrosis Atlas can be accessed freely at https://niaaa.nih.gov/mouselungfibrosisatlas. John Wiley and Sons Inc. 2023-04-10 /pmc/articles/PMC10238219/ /pubmed/37038090 http://dx.doi.org/10.1002/advs.202207454 Text en © 2023 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Arif, Muhammad
Basu, Abhishek
Wolf, Kaelin M.
Park, Joshua K.
Pommerolle, Lenny
Behee, Madeline
Gochuico, Bernadette R.
Cinar, Resat
An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis
title An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis
title_full An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis
title_fullStr An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis
title_full_unstemmed An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis
title_short An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis
title_sort integrative multiomics framework for identification of therapeutic targets in pulmonary fibrosis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238219/
https://www.ncbi.nlm.nih.gov/pubmed/37038090
http://dx.doi.org/10.1002/advs.202207454
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