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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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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. |
format | Online Article Text |
id | pubmed-10238219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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