ArticleAmerican journal of respiratory cell and molecular biology2009
Molecular biomarkers for quantitative and discrete COPD phenotypes.
Article in American journal of respiratory cell and molecular biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Proteomic profiling of peripheral blood neutrophils identifies two inflammatory phenotypes in stable COPD patients.Respiratory research · 2017Trial
- Functional interactors of three genome-wide association study genes are differentially expressed in severe chronic obstructive pulmonary disease lung tissue.Scientific reports · 2017Trial
- Peripheral blood mononuclear cell gene expression in chronic obstructive pulmonary disease.American journal of respiratory cell and molecular biology · 2013Trial
- SOX5 is a candidate gene for chronic obstructive pulmonary disease susceptibility and is necessary for lung development.American journal of respiratory and critical care medicine · 2011Trial
- Emphysema Shapes a Pro-Inflammatory Immune Microenvironment in Pulmonary Adenocarcinoma: A Pilot Immune Transcriptomic Profiling Study.International journal of molecular sciences · 2026Article
- Article
- Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease.Frontiers in medicine · 2025Article
- Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis.IET systems biology · 2023Article
- Identifying chronic obstructive pulmonary disease from integrative omics and clustering in lung tissue.BMC pulmonary medicine · 2023Article
- Severity of Lung Function Impairment Drives Transcriptional Phenotypes of COPD and Relates to Immune and Metabolic Processes.International journal of chronic obstructive pulmonary disease · 2023Article
- Hierarchical association of COPD to principal genetic components of biological systems.PloS one · 2023Article
- Asthma and Post-Asthmatic Fibrosis: A Search for New Promising Molecular Markers of Transition from Acute Inflammation to Pulmonary Fibrosis.Biomedicines · 2022Article
- Article
- Article
- Peripheral Blood Mononuclear Cell Gene Expression in Chronic Obstructive Pulmonary Disease: miRNA and mRNA Regulation.Journal of inflammation research · 2022Article
- Aberrant Post-Transcriptional Regulation of Protein Expression in the Development of Chronic Obstructive Pulmonary Disease.International journal of molecular sciences · 2021Review
- Novel computational analysis of large transcriptome datasets identifies sets of genes distinguishing chronic obstructive pulmonary disease from healthy lung samples.Scientific reports · 2021Article
- Loss of Hyaluronan and Proteoglycan Link Protein-1 Induces Tumorigenesis in Colorectal Cancer.Frontiers in oncology · 2021Article
- Augmented Lipocalin-2 Is Associated with Chronic Obstructive Pulmonary Disease and Counteracts Lung Adenocarcinoma Development.American journal of respiratory and critical care medicine · 2021Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Chronic obstructive pulmonary disease (COPD) is an inflammatory lung disorder with complex pathological features and largely unknown etiology. The identification of biomarkers for this disease could aid the development of methods to facilitate earlier diagnosis, the classification of disease subtypes, and provide a means to define therapeutic response. To identify gene expression biomarkers, we completed expression profiling of RNA derived from the lung tissue of 56 subjects with varying degrees of airflow obstruction using the Affymetrix U133 Plus 2.0 array. We applied multiple, independent analytical methods to define biomarkers for either discrete or quantitative disease phenotypes. Analysis of differential expression between cases (n = 15) and controls (n = 18) identified a set of 65 discrete biomarkers. Correlation of gene expression with quantitative measures of airflow obstruction (FEV(1)%predicted or FEV(1)/FVC) identified a set of 220 biomarkers. Biomarker genes were enriched in functions related to DNA binding and regulation of transcription. We used this group of biomarkers to predict disease in an unrelated data set, generated from patients with severe emphysema, with 97% accuracy. Our data contribute to the understanding of gene expression changes occurring in the lung tissue of patients with obstructive lung disease and provide additional insight into potential mechanisms involved in the disease process. Furthermore, we present the first gene expression biomarker for COPD validated in an independent data set.
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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.