Lung Transcriptomics Link Emphysema to Barrier Dysfunction and Macrophage Subpopulations.
Robin Lu1, Andrew Gregory1, Rahul Suryadevara1
1Channing Division of Network Medicine.
Summary
This study reveals key gene expression changes and pathway alterations in emphysema, identifying specific cell types involved and shared transcriptomic signatures between lung and blood samples.
Area of Science:
- Pulmonary Medicine
- Genomics
- Transcriptomics
Background:
- Emphysema pathogenesis and gene regulatory processes remain poorly understood.
- Efficient screening methods and disease-modifying therapies for emphysema are challenging to develop.
- Transcriptomic insights into emphysema may facilitate therapeutic and diagnostic advancements.
Purpose of the Study:
- Identify emphysema-associated biological pathways via bulk lung tissue transcriptomic analysis.
- Determine specific lung cell types exhibiting altered emphysema-associated pathways.
- Detect unique and overlapping transcriptomic signatures in both blood and lung samples.
Main Methods:
- RNA-sequencing data from 446 Lung Tissue Research Consortium (LTRC) lung samples and 3,606 COPDGene blood samples were analyzed.
- Chest computed tomography-quantified emphysema was correlated with transcriptomic features.
- Publicly available single-cell RNA-sequencing data were used to identify cell-type specific pathway alterations.
Main Results:
- 1,087 differentially expressed genes and 34 dysregulated pathways were significantly associated with emphysema in lung tissue.
- Alternative splicing and increased activity in pluripotency and cell barrier pathways were observed.
- Shared differentially expressed genes and pathways were identified between lung and blood samples; epithelial barrier pathways were dysregulated across multiple lung cell types, with distinct activities in macrophage subpopulations.
Conclusions:
- Emphysema is associated with significant changes in gene expression and alternative splicing.
- Cell-type specific pathway dysregulation, particularly in epithelial barrier function and macrophage subpopulations, was identified.
- Shared transcriptomic signatures between blood and lung indicate potential for non-invasive biomarkers.


