# Molecular determinants of lung function decline: a multi-level analysis of gene expression

## TL;DR

This study identifies gene expression patterns linked to lung function decline in COPD, revealing molecular markers that could lead to new therapies.

## Contribution

A novel 20-gene signature associated with FEV1 decline was identified and validated across multiple studies.

## Key findings

- Three distinct gene sets were identified across cross-sectional, FEV1 change, and longitudinal analyses.
- A 20-gene signature was strongly associated with FEV1 decline and validated in an independent study.
- Pathway analysis highlighted oxidative stress and immune processes as key in FEV1 decline.

## Abstract

Chronic obstructive pulmonary disease (COPD) is characterized by progressive lung function decline, commonly measured by forced expiratory volume in one second (FEV1). Uncovering the genetic basis of FEV1 decline is essential for understanding COPD pathophysiology and for developing therapies. We hypothesized that gene expression patterns in inflammatory pathways are associated with FEV1 decline.

We analyzed whole blood RNA-sequencing data from the 5 (n = 4,147) and 10 year visits (n = 435) in the COPDGene Study. Gene expression was assessed in three analyses: cross-sectional associations with FEV1 at two separate time points, association between year 5 gene expression and FEV1 changes from year 5–10, and longitudinal changes in both gene expression and FEV1. A gene signature derived from the 5-year visit was linked to FEV1 decline across three intervals (baseline to 5 years, 5 to 10 years, and baseline to 10 years) and tested for validation in the ECLIPSE study.

Distinct gene sets emerged in the three analyses (Cross-sectional: 961 genes; FEV1 Change: 179; Longitudinal: 532). Only two genes (NOV and AC009404.2) overlapped across all analyses, while unique genes (e.g., MMP9, IL1RL1, and CHI3L1) were context-specific. Pathway analysis of genes from the longitudinal analysis highlighted oxidative stress and immune processes. A 20-gene signature was derived, including 17 genes positively and three negatively associated with FEV1. These signatures were significantly associated with FEV1-related traits in COPDGene and ECLIPSE.

These findings reveal molecular markers of FEV1 decline, offering insights into COPD pathophysiology and potential therapeutic targets.

The online version contains supplementary material available at 10.1186/s12931-025-03450-z.