Developmental programming in Idiopathic pulmonary fibrosis (IPF)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE73854 | GEO | 2017/01/10
SECONDARY ACCESSION(S): PRJNA298229
REPOSITORIES: GEO
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Project description:The pathogenesis of idiopathic pulmonary fibrosis is multifactorial and characterized by progressive fibrosis and excessive accumulation of extracellular matrix in the interstitium of the lung, and driven by an imbalance between anti-fibrotic and pro-fibrotic factors leading to collagen deposition. In the present study we wanted to identify proteins involved in these processes, and performed high-resolution proteomic profiling of bronchoalveolar lavage (BAL) from IPF patients and controls. The proteomic analysis of BAL demonstrated that the complement system was highly differentially regulated in IPF patients as compared with controls.
2023-07-31 | PXD036638 | Pride
Project description:Idiopathic pulmonary fibrosis (IPF) is a disease related to AT2 cell. We used flow cytometry to analyze the epithelial component of donor and IPF lungs. From the live cells, we first excluded the CD31PosCD45Pos and then selected the EPCAMPos cells for further analysis using the human AT2 cell marker HTll-280 and the surface marker PD-L1. Our data indicate that, the bona fide differentiated AT2 cells (HTll-280High PD-L1Neg), were drastically reduced in the context of IPF. More interestingly, the number of HTll-280Low/Neg PD-L1High was drastically increased, suggesting that HTll-280Low PD-L1High epithelial cells could represent a pool of progenitors linked to the deficient AT2 lineage. The aim of this experiment is further characterization of AT2 and PDL1+ cells in donor and IPF.
2023-01-01 | GSE195770 | GEO
Project description:Changes in the respiratory microbiome are associated with disease progression in Idiopathic pulmonary fibrosis (IPF). The role of the host response to the respiratory microbiome however remains unknown. The role of this study is to explore the host-microbial interaction in IPF. Network analysis of gene expression data identified two gene modules that strongly associate with a diagnosis of IPF, BAL bacterial burden (determined by 16S quantitative PCR) and specific microbial OTUs, as well as lavage and peripheral blood neutrophilia. Genes within these modules that are involved in the host defence response include NLRC4, PGLYRP1, MMP9, DEFA4. The modules also contain two genes encoding specific antimicrobial peptides (SLPI and CAMP). Many of these particular transcripts were associated with survival and showed longitudinal over expression in subjects experiencing disease progression, further strengthening their relationship with disease. Integrated analysis of the host transcriptome and microbial signatures demonstrates an apparent host response to the presence of an altered or more abundant microbiome. These responses remain elevated on longitudinal follow up, suggesting that the bacterial communities of the lower airways may be acting as persistent stimuli for repetitive alveolar injury in IPF. Sixty patients diagnosed with IPF were prospectively enrolled, together with 20 matched controls. Subjects underwent bronchoalveolar lavage (BAL) and peripheral whole blood was collected into PAXgene tubes for all subjects at baseline. For IPF subjects additional samples were taken at 1, 3, and 6 months and (if alive) a year. Gene expression profiles were generated using Affymetrix Human Gene1.1ST Arrays.
2017-01-14 | GSE93606 | GEO
Project description:Idiopathic pulmonary fibrosis (IPF) is a lethal fibrotic lung disease characterized by enhanced fibroblast proliferation, collagen synthesis, extracellular matrix deposition. We obtained 28 IPF patient lung tissue samples from the Lung Tissue Research Consortium (LTRC). Here we determined the miRNA expression profiles in these IPF lung samples.
2019-04-02 | GSE129126 | GEO
Project description:Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive and highly lethal lung disease with unknown etiology and poor prognosis.
2019-05-29 | GSE116086 | GEO
Project description:Idiopathic pulmonary fibrosis (IPF) is a specific form of chronic, progressive fibrosing interstitial disease of unknown cause. It remains impractical to conduct early diagnosis and predict IPF progression just based on gene expression information. Moreover, the relationship between gene expression and quantitative phenotypic value in IPF keeps controversial. To identify biomarkers to predict survival in IPF, we profiled protein-coding gene expression in peripheral blood mononuclear cells (PBMCs). We linked the gene expression level with the quantitative phenotypic variation in IPF, including diffusing capacity of the lung for carbon monoxide (DLCO) and forced vital capacity (FVC) percent predicted. In silico analyses on the expression profiles and quantitative phenotypic data allowed for the generation of a set of IPF molecular signature that predicted survival of IPF effectively. Total RNA was isolated from PBMCs using standard molecular biology protocols without DNA contamination or RNA degradation. Sample processing (e.g., cDNA generation, fragmentation, end labeling, hybridization to Affymetrix GeneChip Human Exon 1.0 ST arrays) was performed per manufacturer’s instructions. A total of 45 healthy controls and 70 IPF patients were included in the microarray analysis.
2014-06-30 | E-GEOD-38958 | biostudies-arrayexpress
Project description:In the longtime challenge of identifying specific, easily-detectable and reliable biomarkers of interstitial lung diseases (ILDs), alternative biofluids, such as bronchoalveolar lavage fluid (BALF), have been extensively studied. In particular, BALF proteomics is gaining momentum and providing interesting new insights into the pathogenesis of ILDs, especially Idiopathic Pulmonary Fibrosis (IPF). Interest in the role of extracellular vesicles (EVs) in the pathogenesis of IPF has also grown. Though few, current studies on EVs in BALF of IPF patients focus mainly on miRNAs. To the best of our knowledge, the present study is therefore the first shotgun proteomic investigation of EVs isolated from BALF of IPF patients. Our main aim was to characterize the proteome of the vesicular component of BALF and to explore its individual impact on the pathogenesis of IPF. To this purpose, ultracentrifugation was chosen as EVs isolation technique and their purification was assessed by TEM, 2DE and LC-MS/MS. Our 2DE data and scatter plots showed considerable differences between the proteome of EVs and that of its supernatant and of whole BALF. Analysis of protein content and protein functions evidenced that EV proteins are predominantly involved in cytoskeleton remodeling, adenosine signaling, adrenergic signaling, C-peptide signaling and lipid metabolism. Our findings may suggest a wider system involvement in the disease pathogenesis and support the importance of pre-fractioning of complex samples, like BALF, in order to let low-abundant proteins-mediated pathways to emerge.
2021-08-06 | PXD025590 | Pride
Project description:Idiopathic Pulmonary Fibrosis (IPF) is a chronic progressive lung disease that affects more than 5 million people worldwide with a steady increase in both incidence and mortality. There is currently no effective therapy and the median survival without transplant is 2-5 years. The etiological factor is unknown, but several observational and pathogenesis studies suggest that environmental agents may cause IPF. DNA methylation is a type of chemical modification of DNA such environmental and occupational factors, that can induced a changes in the regulation of biological processes and link to diseases such as a cancer. We hypothesize that the global changes in methylation patterns of IPF lungs caused by environmental factors. In this study we will identify the global methylation signatures of the IPF lung and to compare to methylation signature of lung cancer. The DNA methylation profiles of IPF lung tissue differs from control lung but it shares great similarity with that of lung cancer. Immunoprecipitated methylated DNA from 12 IPF lungs, 10 lung adenocarcinomas and 10 normal histology lungs obtained from the same group of adenocarcinoma patients was hybridized to Agilent human CpG Islands Microarrays. Only probes with a hybridization Tm value between 79 C and 93C were included in the analysis because these show higher quality signal. All probes were divided according to their Tm into 14 groups/bins differing by 1C. Probe signals in each bin were standardized to have an average of 0 and a standard deviation of 1. To work in a CpG island oriented manner, we scored each island for its likelihood to be methylated. For that purpose, each probe was mapped to the genome and the signals of the probes that were mapped to a single CpG island were averaged to obtain the islandM-bM-^@M-^Ys methylation score. Data analysis was performed using BRB-Array Tools and DAVID Bioinformatics Resources software packages.
2012-04-18 | E-GEOD-29895 | biostudies-arrayexpress
Project description:Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and usually lethal lung disease characterized by unknown causes and few treatment options We used microarray to determine the expression of miRNA and 17 miRNAs were differentially expressed in IPF lungs, including 10 upregulated and 7 downregulated miRNAs. Lung tissue was obtained from 4 IPF patients with histological evidence of usual interstitial pneumonia at the time of surgical lung biopsy or lung transplantation. The diagnosis of IPF was derived according to the standards accepted by the American Thoracic Society/European Respiratory Society. Histological normal lung tissues used as controls was obtained from 3 patients with primary spontaneous pneumothorax at the time of thoracoscopy with stapling of any air leak.The miRNA expression profile was determined by Affymetrix microarray, and transcriptome with Affymetrix array
2015-12-04 | E-GEOD-75647 | biostudies-arrayexpress
Project description:Idiopathic pulmonary fibrosis (IPF) is a specific form of chronic, progressive fibrosing interstitial disease of unknown cause. It remains impractical to conduct early diagnosis and predict IPF progression just based on gene expression information. Moreover, the relationship between gene expression and quantitative phenotypic value in IPF keeps controversial. To identify biomarkers to predict survival in IPF, we profiled protein-coding gene expression in peripheral blood mononuclear cells (PBMCs). We linked the gene expression level with the quantitative phenotypic variation in IPF, including diffusing capacity of the lung for carbon monoxide (DLCO) and forced vital capacity (FVC) percent predicted. In silico analyses on the expression profiles and quantitative phenotypic data allowed for the generation of a set of IPF molecular signature that predicted survival of IPF effectively.
2014-06-30 | GSE38958 | GEO