Evidence map›Paper›PMID 25306249›Full record

ArticleRespiratory research2014

The association of plasma biomarkers with computed tomography-assessed emphysema phenotypes.

Brendan J Carolan, Grant Hughes, Jarrett Morrow, Craig P Hersh, Wanda K O'Neal, Stephen Rennard, Sreekumar G Pillai, Paula Belloni, Debra A Cockayne, Alejandro P Comellas and 4 more

Open access · goldAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Respiratory research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
5.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Receptor for advanced glycation end-products and environmental exposure related obstructive airways disease: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2019
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Biomarkers Predictive of Exacerbations in the SPIROMICS and COPDGene Cohorts.American journal of respiratory and critical care medicine · 2017
    Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Lung Transcriptomics Link Emphysema to Barrier Dysfunction and Macrophage Subpopulations.American journal of respiratory and critical care medicine · 2025
    Article
  11. Circulating biomarkers of airflow limitation across the life span.The Journal of allergy and clinical immunology · 2024
    Article
  12. Breathing new life into the study of COPD with genes identified from genome-wide association studies.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  13. Blood-based Transcriptomic and Proteomic Biomarkers of Emphysema.American journal of respiratory and critical care medicine · 2024
    Article
  14. sJIVE: Supervised Joint and Individual Variation Explained.Computational statistics & data analysis · 2022
    Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 2 countries.

Brendan J CarolanDepartment of Medicine, National Jewish Health, 1400 Jackson St, Denver 80206, CO, USA. CarolanB@NJHealth.org.
Grant Hughes
Jarrett Morrow
Craig P Hersh
Wanda K O'Neal
Stephen Rennard
Sreekumar G Pillai
Paula Belloni
Debra A Cockayne
Alejandro P Comellas
Meilan Han
Rachel L Zemans
Katerina Kechris
Russell P Bowler
University of Colorado Denver · USLa Roche College · USBrigham and Women's Hospital · USEli Lilly (United States) · USHarvard University · USMichigan Medicine · USUniversity of Iowa · USUniversity of Nebraska Medical Center · USUniversity of North Carolina at Chapel Hill · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025780 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2008 to 2011
$61.3M
Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
Metabolic profiles of COPD phenotypesP20HL113445 · NHLBI · NATIONAL JEWISH HEALTH · PI BOWLER, RUSSELL PAUL · 2012 to 2016
$4.7M
Metabolome and proteome profiles of emphysema and airway diseaseR01HL095432 · NHLBI · NATIONAL JEWISH HEALTH · PI BOWLER, RUSSELL PAUL · 2009 to 2012
$1.6M
NCATS NIH HHS UL1 TR001082NCRR NIH HHS UL1 RR025780NHLBI NIH HHS P20 HL113445NHLBI NIH HHS R01 HL089856NHLBI NIH HHS R01 HL095432NHLBI NIH HHS R01HL 095432NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

rationaleChronic obstructive pulmonary disease (COPD) is a phenotypically heterogeneous disease. In COPD, the presence of emphysema is associated with increased mortality and risk of lung cancer. High resolution computed tomography (HRCT) scans are useful in quantifying emphysema but are associated with radiation exposure and high incidence of false positive findings (i.e., nodules). Using a comprehensive biomarker panel, we sought to determine if there was a peripheral blood biomarker signature of emphysema.

methods114 plasma biomarkers were measured using a custom assay in 588 individuals enrolled in the COPDGene study. Quantitative emphysema measurements included percent low lung attenuation (%LAA) ≤ -950 HU, ≤ - 910 HU and mean lung attenuation at the 15th percentile on lung attenuation curve (LP15A). Multiple regression analysis was performed to determine plasma biomarkers associated with emphysema independent of covariates age, gender, smoking status, body mass index and FEV1. The findings were subsequently validated using baseline blood samples from a separate cohort of 388 subjects enrolled in the Treatment of Emphysema with a Selective Retinoid Agonist (TESRA) study.

resultsRegression analysis identified multiple biomarkers associated with CT-assessed emphysema in COPDGene, including advanced glycosylation end-products receptor (AGER or RAGE, p < 0.001), intercellular adhesion molecule 1 (ICAM, p < 0.001), and chemokine ligand 20 (CCL20, p < 0.001). Validation in the TESRA cohort revealed significant associations with RAGE, ICAM1, and CCL20 with radiologic emphysema (p < 0.001 after meta-analysis). Other biomarkers that were associated with emphysema include CDH1, CDH 13 and SERPINA7, but were not available for validation in the TESRA study. Receiver operating characteristics analysis demonstrated a benefit of adding a biomarker panel to clinical covariates for detecting emphysema, especially in those without severe airflow limitation (AUC 0.85).

conclusionsOur findings, suggest that a panel of blood biomarkers including sRAGE, ICAM1 and CCL20 may serve as a useful surrogate measure of emphysema, and when combined with clinical covariates, may be useful clinically in predicting the presence of emphysema compared to just using covariates alone, especially in those with less severe COPD. Ultimately biomarkers may shed light on disease pathogenesis, providing targets for new treatments.

Indexed as

PhenotypeAgedAged, 80 and overBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedPulmonary EmphysemaTomography, X-Ray ComputedBiomarkers

Identifiers

PMID25306249
PMCPMC4198701
OpenAlexW2113207714

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.