CT density gradient texture is associated with blood gene expression and immune cell subtypes in smokers susceptible to COPD

Background Chronic obstructive pulmonary disease (COPD) often progresses silently, with biological and structural changes preceding measurable airflow obstruction. CT density gradient (CTDG) texture, a radiographic feature located primarily around the bronchovascular bundles, has been associated with systemic inflammation, exacerbations and mortality. However, the biological underpinnings of CTDG in smokers without spirometric COPD remain unclear. Methods We conducted cross-sectional analyses of over 2500 smokers from the COPDGene Study who were non-obstructed or had COPD. CTDG texture was quantified from inspiratory scans using the adaptive multiple feature method. Whole-blood RNA sequencing and immune cell RNA-seq deconvolution were performed to identify transcriptomic and immune correlates of CTDG. Differential gene expression and cell type-specific transcriptomic analyses were conducted using covariate-adjusted linear models. Results In non-obstructed smokers, CTDG was significantly associated with 157 differentially expressed genes (DEGs) (false discovery rate<5%) in the Global Initiative for Chronic Obstructive Lung Disease stage-stratified model and 65 DEGs in the interaction model. Enriched pathways in the non-obstructed population included lymphocyte differentiation, cytokine signalling and metabolic regulation. CTDG demonstrated a positive association with neutrophil proportion (β=0.126, p=0.02) and inverse associations with resting memory CD4+ T cells (β=−0.036, p=0.02) and monocytes (β=−0.050, p=0.05); however, these associations were nominal. In non-obstructed participants, neutrophil-specific gene expression linked to CTDG showed upregulation of inflammatory pathway genes, including TLR2, ADAM17 and metabolic genes, such as GRB10 and PFKFB2, suggesting early immune-metabolic dysregulation. Conclusion CTDG captures structural and systemic immunometabolic changes in non-obstructed smokers, supporting its potential as a non-invasive biomarker for early COPD risk and timely intervention.

Authors

Institutions

Publication Details

Journal
Thorax
Published
2026-10-30
DOI
https://doi.org/10.1136/thorax-2026-225397
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CT density gradient texture is associated with blood gene expression and immune cell subtypes in smokers susceptible to COPD

Eric A. Hoffman, Muhammad F.A. Chaudhary, Jeffrey L. Curtis, Min Hyung Ryu et al.
1 links
Thorax
Chronic Obstructive Pulmonary Disease (COPD) Research
article

CT density gradient texture is associated with blood gene expression and immune cell subtypes in smokers susceptible to COPD

Eric A. Hoffman, Muhammad F.A. Chaudhary, Jeffrey L. Curtis, Min Hyung Ryu, Craig P. Hersh, Joseph M. Reinhardt, Junfeng Guo, Hira A. Awan, Peter Castaldi, Adel El-Boueiz
article en

Abstract

Background Chronic obstructive pulmonary disease (COPD) often progresses silently, with biological and structural changes preceding measurable airflow obstruction. CT density gradient (CTDG) texture, a radiographic feature located primarily around the bronchovascular bundles, has been associated with systemic inflammation, exacerbations and mortality. However, the biological underpinnings of CTDG in smokers without spirometric COPD remain unclear. Methods We conducted cross-sectional analyses of over 2500 smokers from the COPDGene Study who were non-obstructed or had COPD. CTDG texture was quantified from inspiratory scans using the adaptive multiple feature method. Whole-blood RNA sequencing and immune cell RNA-seq deconvolution were performed to identify transcriptomic and immune correlates of CTDG. Differential gene expression and cell type-specific transcriptomic analyses were conducted using covariate-adjusted linear models. Results In non-obstructed smokers, CTDG was significantly associated with 157 differentially expressed genes (DEGs) (false discovery rate<5%) in the Global Initiative for Chronic Obstructive Lung Disease stage-stratified model and 65 DEGs in the interaction model. Enriched pathways in the non-obstructed population included lymphocyte differentiation, cytokine signalling and metabolic regulation. CTDG demonstrated a positive association with neutrophil proportion (β=0.126, p=0.02) and inverse associations with resting memory CD4+ T cells (β=−0.036, p=0.02) and monocytes (β=−0.050, p=0.05); however, these associations were nominal. In non-obstructed participants, neutrophil-specific gene expression linked to CTDG showed upregulation of inflammatory pathway genes, including TLR2, ADAM17 and metabolic genes, such as GRB10 and PFKFB2, suggesting early immune-metabolic dysregulation. Conclusion CTDG captures structural and systemic immunometabolic changes in non-obstructed smokers, supporting its potential as a non-invasive biomarker for early COPD risk and timely intervention.

Thorax
University of Iowa (US), Brigham and Women's Hospital (US), University of British Columbia (CA), Johns Hopkins University (US), University of Michigan (US), VA Ann Arbor Healthcare System (US), Michigan Medicine (US)
Genentech Foundation, Pfizer, AstraZeneca, GlaxoSmithKline, Novartis, COPD Foundation, Sunovion
Good health and well-being
Openalex Percentile: Top 12%
Chronic Obstructive Pulmonary Disease (COPD) Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon