Comprehensive profiling of the gut microbiota in patients with chronic obstructive pulmonary disease of varying severity
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PROVIDER: PRJEB43616 | ENA |
REPOSITORIES: ENA
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Project description:Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease that reduces lung and respiratory function, with a high mortality rate. Severe and acute deterioration of COPD can easily lead to respiratory failure, resulting in personal, social, and medical burden. Recent studies have shown a high correlation between the gut microbiota and lung inflammation. In this study, we investigated the relationship between gut microbiota and COPD severity. A total of 60 COPD patients with varying severity according to GOLD guidelines were enrolled in this study. DNA was extracted from patients' stool and 16S rRNA data analysis conducted using high-throughput sequencing followed by bioinformatics analysis. The richness of the gut microbiota was not associated with COPD severity. The gut microbiome is more similar in stage 1 and 2 COPD than stage 3+4 COPD. Fusobacterium and Aerococcus were more abundant in stage 3+4 COPD. Ruminococcaceae NK4A214 group and Lachnoclostridium were less abundant in stage 2-4, and Tyzzerella 4 and Dialister were less abundant in stage 1. However, the abundance of a Bacteroides was associated with blood eosinophils and lung function. This study suggests that no distinctive gut microbiota pattern is associated with the severity of COPD. The gut microbiome could affect COPD by gut inflammation shaping the host immune system.
| S-EPMC8034725 | biostudies-literature
Project description:The study investigated the relationship between gut microbiota and COPD severity
| PRJEB43280 | ENA
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. Experiment Overall Design: We assessed genome-wide expression patterns in lung tissue specimens derived from 56 subjects. These subjects were undergoing lobectomy for removal of a suspected tumor, and tissue for our studies was derived from histologically normal tissue distant from the tumor margin. Subjects underwent routine spirometry prior to surgery. Low values for both FEV1 and FEV1/FVC are characteristic features of COPD and associated with the severity of disease. For our studies, Cases (n=15) were defined as subjects with FEV1<70% and FEV1/FVC<0.7 and Controls (n=18) as subjects with FEV1>80% and FEV1/FVC>0.7. A majority of the subjects were diagnosed with adenocarcinoma (n=26) or squamous cell carcinoma (n=19), while other tumor types or benign lesions were found in the remaining subjects (n=11).
2008-06-18 | E-GEOD-8581 | 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. Keywords: other
2003-07-16 | GSE475 | GEO
Project description:Background Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. Single-cell RNA sequencing (scRNA-seq) provides gene expression profiles at the single-cell level. Hence, we evaluated gene expression in the peripheral blood of patients with COPD. Methods Peripheral blood samples from seven healthy controls and eight patients with COPD were obtained in this study. The 10X Genomics Chromium Instrument and cDNA synthesis kit was utilized to generate a barcoded cDNA library for single cell RNA-sequencing. We compared the scRNA-seq data between the COPD and control groups using computational analysis. Functional analyses were performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. Results scRNA-seq was used to analyze the transcriptome of peripheral blood mononuclear cells from seven normal controls and eight patients with COPD. We found increased numbers of monocyte macrophages in the COPD group compared to those in the normal control group. Among the differentially expressed genes (DEGs) in monocyte-macrophages, we identified five upregulated genes (HLA-DRB5, ITGB2, EGR1, CXCL8, and CCL4) and seven downregulated genes (FOLR3, RPS4Yq, CD52, LY6E, HLA-DQB1, G0S2, and CCL3L1) in the COPD group compared to the normal control group. Conclusions Using scRNA-seq, we found differences in cell type distribution, especially in monocyte macrophages. Several upregulated and downregulated genes were found in the monocyte-macrophages of the COPD groups.
2024-10-01 | GSE249584 | GEO
Project description:This experiment was carried out to see if there were any miRNA expression differences in pulmonary endothelial cells between patients with and without COPD. COPD is an inflammatory condition and although much work has previously been performed to investigate the inflammatory cells in COPD there has not been as much research looking at the endothelium through which inflammatory cells must pass through to reach the lung tissue. In this experiment pulmonary endothelial cells were extracted from whole lung tissue removed at the time of cardiothoracic surgery. This was performed for patients with and without COPD. RNA was extracted using the Qiagen microRNeasy kits prior to transferring to the University of Birmingham Biosciences department who performed RNA labelling and ran the microarrays. Once the microarrays were performed quality was checked using ArrayQualityMetrics and the COPD group was compared to the non-COPD group using SAM. The experiment was then repeated using another patient group. MiRNAs of interest were validated with qPCR initially before moving on to functional work.
2018-09-10 | E-MTAB-7141 | biostudies-arrayexpress
Project description:Little is known about the lung microbiome dynamics and host-microbiome interactions in relation to chronic obstructive pulmonary disease (COPD) exacerbations and in patient subgroups based on smoking status and disease severity. Here we performed a 16S ribosomal RNA survey on sputum microbiome from 16 healthy and 43 COPD subjects. For COPD subjects, a longitudinal sampling was performed from stable state to exacerbations, at two and six weeks post-exacerbations and at six months from first stable visit. Host sputum transcriptome were characterized for a subset of COPD patient samples.
2021-03-21 | GSE112165 | GEO
Project description:Identifying protein biomarkers for chronic obstructive pulmonary disease (COPD) has been challenging. Most previous studies have utilized individual proteins or pre-selected protein panels measured in blood samples. To identify COPD protein biomarkers by applying comprehensive mass spectrometry proteomics in lung tissue samples. We utilized mass spectrometry proteomic approaches to identify protein biomarkers from 152 lung tissue samples representing COPD cases and controls.
2022-01-07 | PXD024124 | Pride
Project description:Here, we report a comprehensive analysis of dysregulated mRNAs, lncRNAs, miRNAs and circRNAs in peripheral blood of COPD patients with high-throughput RNA sequencing. We mapped about 50~80 million sequence reads per sample to the human genome. GSEA analysis showed that these dysregulated RNAs correlate with several critical biological processes such as RNA modification, and RNA metabolism. RT-qPCR (SYBR Green assays) with more clinical COPD samples were used for the validation of some dysregulated RNAs. We have also constructed the co-expression network between lncRNA and mRNA, and established the circRNA-miRNA-mRNA in CAC based on this data. This study provides valuable insights to understand the RNA involvement and regulation in COPD, assisting future COPD investigations.
2022-06-15 | GSE198740 | GEO
Project description:Expression data were generated on 136 subjects from the COPDGene® study using Affymetrix microarrays. Multiple linear regression with adjustment for covariates (gender, age, body mass index, family history, smoking status, pack years) was used to identify candidate genes and Ingenuity Pathway Analysis was used to identify candidate pathways. Candidate genes identified included those that play a role in the immune system, inflammatory responses, and sphingolipid metabolism. Many of our final candidate genes also show an association with related disease phenotypes such as emphysema, gas trapping, and 6-minute walk distance. 42 control subjects and 94 subjects with varying severity of COPD had PBMC gene expression profiles generated. All subjects are non-hispanic white, current or former smokers.
2013-05-06 | E-GEOD-42057 | biostudies-arrayexpress