The site and nature of terminal bronchiolar destruction in chronic obstructive pulmonary disease (COPD).
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ABSTRACT:
PROVIDER: PRJNA634520 | ENA |
REPOSITORIES: ENA
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Project description:Previous studies have reported progressive reductions of terminal bronchioles in chronic obstructive pulmonary disease (COPD). Based on micro-CT and Microarray profiling, this study determines the exact site of terminal bronchiole reduction and begins to investigate the gene expression patterns associated with the reduction in COPD.
2020-08-21 | GSE151052 | GEO
Project description:Chronic obstructive pulmonary disease (COPD) Metagenome
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Project description:Chronic Obstructive Pulmonary Disease (COPD) patient microbiome
| PRJEB46960 | ENA
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) 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
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:Background: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease characterized by varying degrees of emphysematous lung destruction and small airway disease, each with distinct effects on clinical outcomes. There is little known about how microRNAs contribute specifically to the emphysema phenotype. We examined how microRNA expression is altered with regional emphysema severity within the lung and how these microRNAs regulate disease-associated gene-expression networks. Results: We profiled microRNAs in different regions in the lung with varying degrees of emphysema from 6 smokers with COPD and 2 controls (8 regions x 8 lungs = 64 samples). 63 microRNAs (p<0.05) were altered with regional emphysema severity as quantified by mean linear intercept (Lm). MicroRNA and gene expression data were then integrated in the same samples. A subset of microRNAs, including miR-638, miR-30c, and miR-181d, correlated with many of their predicted gene targets, suggesting a role in regulating the gene networks that underlie emphysematous lung destruction. Modulating miR-638 expression in primary human lung fibroblasts recapitulated the alterations in its targeted gene-expression network associated with emphysema progression. Pathway analysis revealed that genes involved in oxidative stress and accelerated aging were affected by miR-638 knock-down in fibroblasts. Many miR-638 gene targets in these pathways were amongst those negatively correlated with miR-638 expression in emphysematous lung tissue. Conclusions: Our findings demonstrate that microRNAs are altered with regional emphysema severity and modulate disease-associated gene expression networks. Furthermore, miR-638 may regulate gene expression associated with the oxidative stress response and aging in emphysematous lung tissue and fibroblasts. Paired samples were obtained from 8 regions at regular intervals between the apex and base of each explanted lung from six patients with severe COPD and two donors. The degree of emphysematous destruction was quantified in one sample from each region by mean linear intercept (Lm), while microRNA expression was profiled in the adjacent sample from the same region using the NCode Version 3 microRNA microarrays (Invitrogen, Carlsbad, CA). After quality control 60 samples were used for the analysis.
2013-12-31 | E-GEOD-49881 | biostudies-arrayexpress
Project description:Diaphragm muscles in Chronic Obstructive Pulmonary Disease (COPD) patients undergo an adaptive fast to slow transformation that includes cellular adaptations. This project studies the signaling mechanisms responsible for this transformation.
2007-10-25 | E-GEOD-475 | biostudies-arrayexpress
Project description:BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease consisting of emphysema, small airway obstruction, and/or chronic bronchitis that results in significant loss of lung function over time. METHODS: In order to gain insights into the molecular pathways underlying progression of emphysema and explore computational strategies for identifying COPD therapeutics, we profiled gene expression in lung tissue samples obtained from regions within the same lung with varying amounts of emphysematous destruction from smokers with COPD (8 regions x 8 lungs = 64 samples). Regional emphysema severity was quantified in each tissue sample using the mean linear intercept (Lm) between alveolar walls from micro-CT scans. RESULTS: We identified 127 genes whose expression levels were significantly associated with regional emphysema severity while controlling for gene expression differences between individuals. Genes increasing in expression with increasing emphysematous destruction included those involved in inflammation, such as the B-cell receptor signaling pathway, while genes decreasing in expression were enriched in tissue repair processes, including the transforming growth factor beta (TGF beta) pathway, actin organization, and integrin signaling. We found concordant differential expression of these emphysema severity-associated genes in four cross-sectional studies of COPD. Using the Connectivity Map, we identified GHK as a compound that can reverse the gene-expression signature associated with emphysematous destruction and induce expression patterns consistent with TGF beta pathway activation. Treatment of human fibroblasts with GHK recapitulated TGF beta-induced gene-expression patterns, led to the organization of the actin cytoskeleton, and elevated the expression of integrin beta1. Furthermore, addition of GHK or TGF beta restored collagen I contraction and remodeling by fibroblasts derived from COPD lungs compared to fibroblasts from former smokers without COPD. CONCLUSIONS: These results demonstrate that gene-expression changes associated with regional emphysema severity within an individual¿s lung can provide insights into emphysema pathogenesis and identify novel therapeutic opportunities for this deadly disease. They also suggest the need for additional studies to examine the mechanisms by which TGF beta and GHK each reverse the gene-expression signature of emphysematous destruction and the effects of this reversal on disease progression. Paired samples were obtained from 8 regions at regular intervals between the apex and base of each explanted lung from six patients with severe COPD and two donors. The degree of emphysematous destruction was quantified in one sample from each region by mean linear intercept (Lm), while gene expression was profiled in the adjacent sample from the same region using the Affymetrix Human Exon 1.0 ST GeneChip. Human fibroblast cell lines (HLF-1) were treated with GHK or TGF-Beta1 for 48 hours and profiled using the Affymetrix Human Gene 1.0 ST GeneChip.
2012-09-11 | E-GEOD-27597 | biostudies-arrayexpress
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