Pulmonary EV miRNA profiles identify disease and distinct inflammatory endotypes in COPD
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PROVIDER: PRJNA904334 | ENA |
REPOSITORIES: ENA
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Project description:COPD is a heterogeneous condition without effective disease modifying therapies. Identification of novel inflammatory endotype markers such as extracellular vesicles (EVs), which are important intercellular messengers carrying microRNA (miRNA), may enable earlier diagnosis and disease stratification for a targeted treatment approach. Our aim was to identify differentially expressed EV miRNA in the lungs of COPD patients compared with healthy ex-smokers and determine whether they can help define inflammatory COPD endotypes. EV miRNA were isolated and sequenced from ex-smoking COPD patients and healthy ex-smoker bronchoalveolar lavage fluid. Results were validated with RT-qPCR and compared to differential inflammatory cell counts. Differential expression analysis identified five upregulated miRNA in COPD (miR-223-3p, miR-2110, miR-182-5p, miR-200b-5p and miR-625-3p) and three downregulated miRNA (miR-138-5p, miR-338-3p and miR-204-5p), all with a log2 fold change of >1/-1, FDR<0.05. These miRNAs correlated with disease defining characteristics such as FEF 25-75% (a small airways disease measure) and DLCO % (a surrogate measure of emphysema). Receiver operator curve analysis demonstrated miR-2110, miR-223-3p and miR-182-5p showed excellent combinatory predictive ability (AUC 0.91, p<0.0001) in differentiating between health and mild COPD. Furthermore, miR-223-3p and miR-338-3p correlated with airway eosinophilia and were able to distinguish “pure eosinophilic” COPD from other airway inflammatory subtypes (AUC 0.94 and 0.85 respectively). This is the first study to identify differentially expressed miRNA in COPD bronchoalveolar lavage fluid EVs. These findings suggest specific lung derived EV miRNA are a strong predictor of disease presence even in mild COPD. Furthermore, specific miRNA correlated with inflammatory cell numbers in COPD, and may have a role in defining inflammatory endotypes for future treatment stratification.
2022-12-05 | GSE218571 | GEO
Project description:IntroductionChronic obstructive pulmonary disease (COPD) is a heterogeneous condition without effective disease modifying therapies. Identification of novel inflammatory endotype markers such as extracellular vesicles (EVs), which are important intercellular messengers carrying microRNA (miRNA), may enable earlier diagnosis and disease stratification for a targeted treatment approach. Our aim was to identify differentially expressed EV miRNA in the lungs of COPD patients compared with healthy ex-smokers and determine whether they can help define inflammatory COPD endotypes.MethodsEV miRNA were isolated and sequenced from ex-smoking COPD patients and healthy ex-smoker bronchoalveolar lavage fluid. Results were validated with RT-qPCR and compared to differential inflammatory cell counts.ResultsExpression analysis identified five upregulated miRNA in COPD (miR-223-3p, miR-2110, miR-182-5p, miR-200b-5p and miR-625-3p) and three downregulated miRNA (miR-138-5p, miR-338-3p and miR-204-5p), all with a log2 fold change of >1/-1, FDR < 0.05. These miRNAs correlated with disease defining characteristics such as FEF 25-75% (a small airways disease measure) and DLCO% (a surrogate measure of emphysema). Receiver operator curve analysis demonstrated miR-2110, miR-223-3p, and miR-182-5p showed excellent combinatory predictive ability (AUC 0.91, p < 0.0001) in differentiating between health and mild COPD. Furthermore, miR-223-3p and miR-338-3p correlated with airway eosinophilia and were able to distinguish "pure eosinophilic" COPD from other airway inflammatory subtypes (AUC 0.94 and 0.85, respectively).DiscussionThis is the first study to identify differentially expressed miRNA in COPD bronchoalveolar lavage fluid EVs. These findings suggest specific lung derived EV miRNA are a strong predictor of disease presence even in mild COPD. Furthermore, specific miRNA correlated with inflammatory cell numbers in COPD, and may have a role in defining inflammatory endotypes for future treatment stratification.
| S-EPMC9797812 | biostudies-literature
Project description:Chronic obstructive pulmonary disease (COPD) Metagenome
| PRJNA647843 | ENA
Project description:Background: CD8 cells seem to play an important role in the pathogenesis of chronic obstructive pulmonary disease (COPD). However, relatively little is known about their phenotype and function. Aims: To define the transcriptome of pulmonary CD8 cells in COPD and compare to paired circulating CD8 cells and smoker control pulmonary CD8 cells. COPD was defined according to the Global initiative for chronic Obstructive Lung Disease guidelines. Severity of disease was defined according to the patients lung function. In particular the forced evpiratroy volume in 1 second (FEV1).
2013-08-01 | E-MTAB-1688 | biostudies-arrayexpress
Project description:Background: Chronic obstructive pulmonary disease (COPD) is a major risk factor for the development of lung adenocarcinoma (AC). AC often develops on underlying COPD, thus the differentiation of both entities by biomarker is challenging. Although survival of AC patients strongly depends on early diagnosis, a biomarker panel for AC detection and differentiation from COPD is still missing. Methods: Plasma samples from 176 patients with AC with or without underlying COPD, COPD patients, and hospital controls were analyzed using mass spectrometry-based proteomics. We performed univariate statistics and additionally evaluated machine learning algorithms regarding the differentiation of AC vs. COPD and AC with COPD vs. COPD. Results: Univariate statistics revealed significantly regulated proteins that were significantly regulated between the patient groups. Furthermore, Random forest classification yielded the best performance for differentiation of AC vs. COPD (area under the curve (AUC) 0.935) and AC with COPD vs. COPD (AUC 0.916). The most influential proteins were identified by permutation feature importance and compared to those identified by univariate testing. Conclusion: We demonstrate the great potential of machine learning for differentiation of highly similar disease entities and present a panel of biomarker candidates that should be considered for the development of a future biomarker panel.
2022-10-17 | PXD035120 | Pride
Project description:Chronic Obstructive Pulmonary Disease (COPD) patient microbiome
| PRJEB46960 | ENA
Project description:Abstract: Chronic obstructive pulmonary disease (COPD) is a progressive lung disease for which there is no cure. Accumulating research results suggest a role for extracellular vesicles (EVs) in the pathogenesis of COPD. This study aimed to uncover the involvement of EVs and their molecular cargo in the progression of COPD by identification of EV-associated protein and microRNA (miRNA) profiles. We isolated EVs from bronchial alveolar lavage fluid (BALF) of 18 patients with COPD and 11 healthy controls by size exclusion chromatography. EV isolates were characterized by Nnanoparticle tracking analysis and protein content. Proteomic analysis revealed higher abundance of 284 proteins (log2FC > 1) and lower abun-dance of 3 proteins (log2FC <-1) in EVs derived from patients with COPD. Ingenuity pathway analysis showed that proteins enriched in COPD-associated EVs trigger inflammatory responses including neutrophil degranulation. Variances in surface receptors and ligands associated with COPD EVs suggested preferential interaction with alveolar cells. Small RNAseq analysis iden-tified higher abundance of ten miRNAs and lower abundance of one in EVs from COPD versus controls (Basemean >100, FDR<0.05). Our data indicate that the molecular composition of EVs in BALF of patients with COPD is altered compared to healthy control EVs. Several components in COPD EVs were identified that may perpetuate inflammation and alveolar tissue destruction.
2024-06-23 | PXD049998 | Pride
Project description:Chronic obstructive pulmonary disease (COPD) is a highly prevalent disease leading to irreversible airflow limitation and is characterized by chronic pulmonary inflammation，obstructive bronchiolitis and emphysema. Etiologically, COPD is mediated by toxic gases and particles, e.g. cigarette smoke, while the pathogenesis of the disease is largely unknown. Several lines of evidence indicate a link between COPD and autoimmunity but comprehensive studies are lacking. By using a protein microarray assaying more than 19,000 human proteins we determined in this study the autoantibody profiles of COPD and non-COPD smokers.
2019-06-21 | GSE133096 | GEO
Project description:HIV-infected persons are at increased risk for developing pulmonary diseases including chronic obstructive pulmonary disease (COPD), and the fungal opportunistic pathogen, Pneumocystis jirovecii (Pc) has been implicated in the pathogenesis of HIV-related COPD. We previously developed a non-human primate model of HIV-related COPD using simian-human immunodeficiency virus (SHIV) and Pc co-infection in cynomolgus macaques. In the present study we examined gene expression profiles in lung tissue from SHIV/Pc co-infected monkeys with COPD and compared them to SHIV-infected monkeys infected with normal lung function. Microarray technology was used to develop gene profiles, and differential gene expression was determined by a comparative evaluation of competing normalization methods applied to our expression data set followed by validation using quantitative real-time polymerase chain reaction analysis for select genes. Of over 52,000 transcripts representing more than 20,000 genes analyzed, the SHIV/Pc infected macaques with COPD exhibited 243 differentially expressed (DE) genes compared to SHIV-infected monkeys with normal lung function. DE genes fell into a number of functional categories which may be important in COPD development including: inflammation (pulmonary surfactants A2, B, C, D, upregulated; alternative macrophage activation-associated CC chemokine, upregulated), protease/antiprotease balance (cathepsin H, upregulated; alpha-1-chymotrypsin and secretory leukocyte peptidase inhibitor, downregulated), redox balance (glutathione peroxidase 4 and mitochondrial aldehyde dehydrogenase 2, upregulated) and tissue homeostasis (connective tissue growth factor, downregulated; ornithine decarboxylase antizyme, upregulated). These results identify factors and pathways that may be involved in early development of Pneumocystis and SHIV-associated COPD and reveal several novel, potential therapeutic targets.
2010-09-25 | GSE24343 | GEO
Project description:Chronic obstructive pulmonary disease (COPD) is an inflammatory lung disease with complex pathological features and largely unknown etiologies. Identification and validation of biomarkers for this disease could facilitate earlier diagnosis, appreciation of disease subtypes and/or determination of response to therapeutic intervention. To identify gene expression markers for COPD, we performed genome-wide expression profiling of lung tissue from 56 subjects using the Affymetrix U133 Plus 2.0 array. Lung function measurements from these subjects ranged from normal, un-obstructed to severely obstructed. Analysis of differential expression between cases (FEV1<70%, FEV1/FVC<0.7) and controls (FEV1>80%, FEV1/FVC>0.7) identified a set of 65 probe sets representing discrete markers associated with COPD. Correlation of gene expression with quantitative measures of airflow obstruction (FEV1 or FEV1/FVC) identified a set of 220 probe sets. A total of 31 probe sets were identified that showed evidence of significant correlation with quantitative traits and differential expression between cases and controls. Keywords: Disease state marker
2008-05-31 | GSE8581 | GEO