Respiratory Research | |
The association of plasma biomarkers with computed tomography-assessed emphysema phenotypes | |
Russell P Bowler9  Katerina Kechris1,10  Rachel L Zemans9  Meilan Han4  Alejandro P Comellas1  Debra A Cockayne5  Paula Belloni6  Sreekumar G Pillai3  Stephen Rennard7  Wanda K O’Neal8  Craig P Hersh2  Jarrett Morrow2  Grant Hughes1,10  Brendan J Carolan9  | |
[1] Department of Internal Medicine, Division of Pulmonary and Critical Care, University of Michigan Health System, Ann Arbor, MI, USA;Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA;Hoffman La Roche, Nutley, USA;Current address: Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA;Department of Internal Medicine, University of Iowa, Iowa City, IA, USA;Genentech, Member of the Roche Group, South San Francisco, CA, USA;Department of Internal Medicine, Pulmonary, Critical Care and Allergy Division, University of Nebraska Medical Center, Omaha, NE, USA;Cystic Fibrosis/Pulmonary Research and Treatment Center, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA;Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA | |
关键词: Emphysema; CCL20; ICAM1; RAGE; Biomarkers; COPD; | |
Others : 1137254 DOI : 10.1186/s12931-014-0127-9 |
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received in 2014-05-29, accepted in 2014-10-03, 发布年份 2014 | |
【 摘 要 】
Rationale
Chronic 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.
Methods
114 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.
Results
Regression 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).
Conclusions
Our 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.
【 授权许可】
2014 Carolan et al.; licensee BioMed Central Ltd.
【 预 览 】
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20150315154920893.pdf | 614KB | download | |
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【 图 表 】
Figure 1.
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