Project description:Idiopathic pulmonary fibrosis (IPF) is a chronic fibrosing lung disease that is difficult to diagnose and follows an unpredictable clinical course. The object of this study was to develop a predictive gene signature model of IPF from whole lung tissue. We collected whole lung samples from 11 IPF patients undergoing diagnostic surgical biopsy or transplantation. Whenever possible, samples were obtained from different lobes. Normals consisted of healthy organs donated for transplantation. We measured gene expression on microarrays. Data were analyzed by hierarchical clustering and Principal Component Analysis. By this approach, we found that gene expression was similar in the upper and lower lobes of individuals with IPF. We also found that biopsied and explanted specimens contained different patterns of gene expression; therefore, we analyzed biopsies and explants separately. Signatures were derived by fitting top genes to a Bayesian probit regression model. We developed a 153-gene signature that discriminates IPF biopsies from normal. We also developed a 70-gene signature that discriminates IPF explants from normal. Both signatures were validated on an independent cohort. The IPF Biopsy signature correctly diagnosed 76% of the validation cases (p < 0.01), while IPF Explant correctly diagnosed 78% (p < 0.001). Examination of differentially expressed genes revealed partial overlap between IPF Biopsy and IPF Explant and almost no overlap with previously reported IPF gene lists. However, several overlapping genes may provide a basis for developing therapeutic targets. 17 samples from 11 patients with IPF (6 patients provided a pair of samples from upper and lower lobes; 5 patients contributed singleton samples); 6 control specimens were obtained from routine lung volume reduction of healthy donor lungs at the time of lung transplantation.
Project description:Idiopathic pulmonary fibrosis (IPF) is a chronic fibrosing lung disease that is difficult to diagnose and follows an unpredictable clinical course. The object of this study was to develop a predictive gene signature model of IPF from whole lung tissue. We collected whole lung samples from 11 IPF patients undergoing diagnostic surgical biopsy or transplantation. Whenever possible, samples were obtained from different lobes. Normals consisted of healthy organs donated for transplantation. We measured gene expression on microarrays. Data were analyzed by hierarchical clustering and Principal Component Analysis. By this approach, we found that gene expression was similar in the upper and lower lobes of individuals with IPF. We also found that biopsied and explanted specimens contained different patterns of gene expression; therefore, we analyzed biopsies and explants separately. Signatures were derived by fitting top genes to a Bayesian probit regression model. We developed a 153-gene signature that discriminates IPF biopsies from normal. We also developed a 70-gene signature that discriminates IPF explants from normal. Both signatures were validated on an independent cohort. The IPF Biopsy signature correctly diagnosed 76% of the validation cases (p < 0.01), while IPF Explant correctly diagnosed 78% (p < 0.001). Examination of differentially expressed genes revealed partial overlap between IPF Biopsy and IPF Explant and almost no overlap with previously reported IPF gene lists. However, several overlapping genes may provide a basis for developing therapeutic targets.
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.
Project description:Idiopathic pulmonary fibrosis (IPF) is an untreatable fibrotic lung disease characterized by fibroblast proliferation and epithelial mesenchymal transition. The expression and role of microRNAs (miRNA) has not been studied in IPF. Using miRNA expression microarrays we identified 46 differentially expressed miRNA in IPF lungs which included let-7d and the miR-30 family. Keywords: miRNA expression Lung tissue samples for microarray analysis were obtained through the University of Pittsburgh Health Sciences Tissue Bank. Ten samples were obtained from surgical remnants of biopsies or lungs explanted from patients with IPF who underwent pulmonary transplant, and ten control normal lung tissues obtained from the disease free margins with normal histology of lung cancer resection specimens. The morphologic diagnosis of IPF was based on typical microscopic findings consistent with usual interstitial pneumonia. Total RNA was labeled with Cy3 and hybridized on Agilent 8X15K microRNA array (Agilent Technologies, Santa Clara, CA). After 20 hours hybridization, arrays were washed and scanned according to the manufacturerâs protocol.
Project description:Idiopathic pulmonary fibrosis (IPF) is an untreatable fibrotic lung disease characterized by fibroblast proliferation and epithelial mesenchymal transition. Using miRNA expression microarrays we identified 96 differentially expressed miRNA in IPF lungs which included let-7d, miR-30 family, miR-29 family and miR-154 family. Lung tissue samples for microarray analysis were obtained through the University of Pittsburgh Health Sciences Tissue Bank. 13 samples were obtained from surgical remnants of biopsies or lungs explanted from patients with IPF who underwent pulmonary transplant, and 12 control normal lung tissues obtained from the disease free margins with normal histology of lung cancer resection specimens. The morphologic diagnosis of IPF was based on typical microscopic findings consistent with usual interstitial pneumonia. Total RNA was labeled with Cy3 and hybridized on Agilent 8X15K microRNA array (Agilent Technologies, Santa Clara, CA). After 20 hours hybridization, arrays were washed and scanned according to the manufacturer’s protocol.
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.
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.
Project description:Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive fibrosing interstitial lung disease that is unresponsive to current therapy. While it carries a median survival of less than 3 years its rate of progression varies widely between patients. We hypothesized that studying the gene expression profiles of physiologically stable patients and those in which the disease progressed rapidly after the initial diagnosis would aid in the search for biomarkers and contribute to the understanding of disease pathogenesis. We generated 12 Idiopathic Pulmonary Fibrosis (IPF) lung parenchyma SAGE profiles. Initial cluster analysis including 8 other public available lung SAGE libraries verified that the IPF transcriptome is distinct from normal lung tissue and other lung diseases like COPD. In order to identify candidate markers of disease progression we segregated the IPF SAGE profiles in two groups based on clinical parameters regarding lung volume and lung function.
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