ArticleJournal of clinical bioinformatics2011
Peripheral blood gene expression profiles in COPD subjects.
Article in Journal of clinical bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled 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.
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.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Pooled it
- Lysosome and Cytoskeleton Pathways Are Robustly Enriched in the Blood of Septic Patients: A Meta-Analysis of Transcriptomic Data.Mediators of inflammation · 2015Pooled it
- Network-based analysis reveals novel gene signatures in peripheral blood of patients with chronic obstructive pulmonary disease.Respiratory research · 2017Trial
- Predicting treatable traits for long-acting bronchodilators in patients with stable COPD.International journal of chronic obstructive pulmonary disease · 2017Trial
- Identifying a gene expression signature of frequent COPD exacerbations in peripheral blood using network methods.BMC medical genomics · 2015Trial
- Peripheral blood mononuclear cell gene expression in chronic obstructive pulmonary disease.American journal of respiratory cell and molecular biology · 2013Trial
- Peripheral Blood Mononuclear Cell Gene Expression Associated with Pulmonary Microvascular Perfusion: The Multi-Ethnic Study of Atherosclerosis Chronic Obstructive Pulmonary Disease.Annals of the American Thoracic Society · 2024Article
- Oxidative stress and Nrf2 expression in peripheral blood mononuclear cells derived from COPD patients: an observational longitudinal study.Respiratory research · 2020Observational
- Lymphocyte-Specific Biomarkers Associated With Preterm Birth and Bronchopulmonary Dysplasia.Frontiers in immunology · 2020Article
- RNA-sequencing across three matched tissues reveals shared and tissue-specific gene expression and pathway signatures of COPD.Respiratory research · 2019Article
- Transcriptomic Biomarkers to Discriminate Bacterial from Nonbacterial Infection in Adults Hospitalized with Respiratory Illness.Scientific reports · 2017Article
- MicroRNA expression profiling defines the impact of electronic cigarettes on human airway epithelial cells.Scientific reports · 2017Article
- The Effect of Different Case Definitions of Current Smoking on the Discovery of Smoking-Related Blood Gene Expression Signatures in Chronic Obstructive Pulmonary Disease.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016Article
- Nrf2 expression is increased in peripheral blood mononuclear cells derived from mild-moderate ex-smoker COPD patients with persistent oxidative stress.International journal of chronic obstructive pulmonary disease · 2016Article
- Challenges and Current Efforts in the Development of Biomarkers for Chronic Inflammatory and Remodeling Conditions of the Lungs.Biomarker insights · 2015Review
- Dynamic gene expressions of peripheral blood mononuclear cells in patients with acute exacerbation of chronic obstructive pulmonary disease: a preliminary study.Critical care (London, England) · 2014Article
- Integrative genomics of chronic obstructive pulmonary disease.Biochemical and biophysical research communications · 2014Review
- Systemic inflammatory response to smoking in chronic obstructive pulmonary disease: evidence of a gender effect.PloS one · 2014Article
- Altered gene expression in blood and sputum in COPD frequent exacerbators in the ECLIPSE cohort.PloS one · 2014Article
- Critical COPD respiratory illness is linked to increased transcriptomic activity of neutrophil proteases genes.BMC research notes · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To identify non-invasive gene expression markers for chronic obstructive pulmonary disease (COPD), we performed genome-wide expression profiling of peripheral blood samples from 12 subjects with significant airflow obstruction and an equal number of non-obstructed controls. RNA was isolated from Peripheral Blood Mononuclear Cells (PBMCs) and gene expression was assessed using Affymetrix U133 Plus 2.0 arrays.Tests for gene expression changes that discriminate between COPD cases (FEV1< 70% predicted, FEV1/FVC < 0.7) and controls (FEV1> 80% predicted, FEV1/FVC > 0.7) were performed using Significance Analysis of Microarrays (SAM) and Bayesian Analysis of Differential Gene Expression (BADGE). Using either test at high stringency (SAM median FDR = 0 or BADGE p < 0.01) we identified differential expression for 45 known genes. Correlation of gene expression with lung function measurements (FEV1 & FEV1/FVC), using both Pearson and Spearman correlation coefficients (p < 0.05), identified a set of 86 genes. A total of 16 markers showed evidence of significant correlation (p < 0.05) with quantitative traits and differential expression between cases and controls. We further compared our peripheral gene expression markers with those we previously identified from lung tissue of the same cohort. Two genes, RP9and NAPE-PLD, were identified as decreased in COPD cases compared to controls in both lung tissue and blood. These results contribute to our understanding of gene expression changes in the peripheral blood of patients with COPD and may provide insight into potential mechanisms involved in the disease.
Identifiers
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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.