Spatially resolved gene expression profiles of fibrosing interstitial lung diseases

Fibrosing interstitial lung diseases (ILDs) encompass a diverse range of scarring disorders that lead to progressive lung failure. Previous gene expression profiling studies focused on idiopathic pulmonary fibrosis (IPF) and bulk tissue samples. We employed digital spatial profiling to gain new insi...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2024-11, Vol.14 (1), p.26470-15, Article 26470
Main Authors: Kim, Seung J., Cecchini, Matthew J., Woo, Elissa, Jayawardena, Nathashi, Passos, Daniel T., Dick, Frederick A., Mura, Marco
Format: Article
Language:English
Subjects:
631/208/199
631/337/2019
692/699/1785
Alveolitis
Alveolitis, Extrinsic Allergic - genetics
Alveolitis, Extrinsic Allergic - pathology
Digital spatial profiling
Female
Fibrosis
Gene expression
Gene Expression Profiling - methods
Humanities and Social Sciences
Humans
Hypersensitivity
Idiopathic Pulmonary Fibrosis - genetics
Idiopathic Pulmonary Fibrosis - pathology
Interstitial lung disease
Lung - metabolism
Lung - pathology
Lung diseases
Lung Diseases, Interstitial - genetics
Lung Diseases, Interstitial - pathology
Lung microenvironment
Male
Microenvironments
multidisciplinary
Pneumonitis
Science
Science (multidisciplinary)
Spatial discrimination
Spatial transcriptomics
Therapeutic targets
Transcriptome
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Fibrosing interstitial lung diseases (ILDs) encompass a diverse range of scarring disorders that lead to progressive lung failure. Previous gene expression profiling studies focused on idiopathic pulmonary fibrosis (IPF) and bulk tissue samples. We employed digital spatial profiling to gain new insights into the spatial resolution of gene expression across distinct lung microenvironments (LMEs) in IPF, chronic hypersensitivity pneumonitis (CHP) and non-specific interstitial pneumonia (NSIP). We identified differentially expressed genes between LMEs within each condition, and across histologically similar regions between conditions. Uninvolved regions in IPF and CHP were distinct from normal controls, and displayed potential therapeutic targets. Hallmark LMEs of each condition retained distinct gene signatures, but these could not be reproduced in matched lung tissue samples. Based on these profiles and unsupervised clustering, we grouped previously unclassified ILD cases into NSIP or CHP. Overall, our work uniquely dissects gene expression profiles between LMEs within and across different types of fibrosing ILDs.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-77469-5