Evidence map›Paper›PMID 41776818›Full record

Observational studyAnnals of the American Thoracic Society2026

Plasma proteomic profiles of lung volume-based phenotypes in tobacco-exposed individuals without spirometric chronic obstructive pulmonary disease.

Siyang Zeng, Claire Guo, Katherine A Pratte, Gang Luo, Russell P Bowler, Mehrdad Arjomandi

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Annals of the American Thoracic Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00608764 (Genetic Epidemiology of Chronic Obstructive Pulmonary Disease), which is not on this map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00608764 active not recruitingnot on this map

Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene)

TypeobservationalSponsorBrigham and Women's HospitalRan2007 to 2028Enrolled10,718ConditionsPulmonary Disease, Chronic Obstructive, Emphysema, Bronchitis, Chronic
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Siyang ZengDepartment of Medicine, University of California, San Francisco, CA, United States.
Claire GuoDepartment of Biostatistics & Informatics, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States.
Katherine A PratteDepartment of Genomic Sciences and Systems Biology, National Jewish Health Systems, Denver, CO, United States.
Gang LuoDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.
Russell P BowlerDepartment of Systems Biology and Genome Sciences, Cleveland Clinic, Cleveland, OH, United States.
Mehrdad ArjomandiDepartment of Medicine, University of California, San Francisco, CA, United States.ORCID 0000-0002-0116-9217

Funding

Using Computational Approaches to Optimize Asthma Care ManagementR01HL142503 · NHLBI · UNIVERSITY OF WASHINGTON · PI LUO, GANG · 2018 to 2021
$3.3M
California Tobacco-Related Disease Research Program T29IR0715Flight Attendant Medical Research Institute CIA190001National Heart, Lung, and Blood Institute of the National Institutes of Health under Award Number R01HL142503NHLBI NIH HHS R01 HL142503
6 · The paper itself

Abstract

backgroundAmong individuals with a history of smoking but preserved spirometry (tobacco exposed with preserved spirometry, or TEPS), lung volume-based stratification identifies 2 phenotypes at increased risk for chronic obstructive pulmonary disease (pre-COPD): those with a relatively elevated total lung capacity ([TLC]high) and those with a relatively elevated functional residual capacity-to-TLC ratio ([FRC/TLC]high). These subgroups exhibit distinct respiratory symptoms, radiographic abnormalities, and clinical trajectories.

objectiveThis study aimed to determine whether these lung volume-based pre-COPD phenotypes have distinct biological features reflected in their circulating proteomes.

methodsWe analyzed peripheral blood proteomic profiles (SomaScan v4.0; 4979 aptamers) from 1959 TEPS participants at the 5-year follow-up visit (visit 2) of the Genetic Epidemiology of COPD study cohort. Participants with [TLC]high and [FRC/TLC]high (based on computerized tomography scan-derived supine lung volumes) were compared with a low-COPD-risk reference group (without high TLC or high FRC/TLC). Analyses included covariate-adjusted regression, machine learning, and pathway enrichment modeling, with adjustment for age, sex, height, weight, smoking status and burden, leukocyte and platelet counts, forced expiratory volume in 1 second (percent predicted), and study site (random effect).

resultsUsing visit 2 data and visit 3 (10-year) follow-up outcomes, we confirmed the reproducibility and prognostic validity of the lung volume-based phenotypes in 1232 participants with longitudinal data. Over a mean (SD) of 5.3 (1.1) years, spirometric COPD developed in 17% (133 out of 761) of pre-COPD TEPS vs 8% (37 out of 471) of low-risk TEPS (adjusted odds ratio [aOR], 2.51; 95% confidence interval [CI], 1.69-3.75; P < .001). Among pre-COPD subgroups, [FRC/TLC]high TEPS showed greater progression to a Global Initiative for Chronic Obstructive Lung Disease stage 2 or higher (aOR, 2.90; 95% CI, 1.62-5.18; P < .001) and preserved ratio and impaired spirometry (aOR, 3.29; 95% CI, 1.41-7.69; P = .005). At baseline (n = 1959), plasma proteomic analysis identified 165 upregulated and 145 downregulated proteins in [TLC]high TEPS compared with low-COPD-risk TEPS, whereas only 22 proteins were differentially expressed in [FRC/TLC]high TEPS vs low-risk group. Comparison between the 2 pre-COPD phenotypes identified 269 differentially expressed proteins (116 upregulated and 153 downregulated in [FRC/TLC]high vs [TLC]high), including previously described COPD-related mediators (eg, soluble receptor for advanced glycation end products, insulin-like growth factor-binding protein) and novel candidates (eg, zymogen granule membrane protein 16). Pathway analysis highlighted immune signaling, cellular trafficking, and apoptotic pathways relevant to COPD pathogenesis.

conclusionsLung volume-based stratification in TEPS identifies biologically distinct subgroups with differing plasma proteomic signature and COPD risk, underscoring the heterogeneity of early disease and revealing potential circulating biomarkers of pre-COPD states. REGISTRATION: COPDGene study is registered with ClinicalTrials.gov: ID NCT00608764.Keywordspre-COPD, lung volumes, proteomics, biomarkers, chronic obstructive pulmonary disease.

Indexed as

LungPulmonary Disease, Chronic ObstructiveSmokingAgedFemaleForced Expiratory VolumeHumansLung Volume MeasurementsMaleMiddle AgedPhenotypeProteomicsSpirometryTomography, X-Ray ComputedTotal Lung Capacity

Identifiers

PMID41776818
PMCPMC13315777

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.