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

Authors :
Arif M
Basu A
Wolf KM
Park JK
Pommerolle L
Behee M
Gochuico BR
Cinar R
Source :
Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2023 Jun; Vol. 10 (16), pp. e2207454. Date of Electronic Publication: 2023 Apr 10.
Publication Year :
2023

Abstract

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 <subscript>1</subscript> 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.<br /> (© 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.)

Details

Language :
English
ISSN :
2198-3844
Volume :
10
Issue :
16
Database :
MEDLINE
Journal :
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Publication Type :
Academic Journal
Accession number :
37038090
Full Text :
https://doi.org/10.1002/advs.202207454