Unknown,Transcriptomics,Genomics,Proteomics

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An inhaled dose of budesonide induces genes involved in transcription and signaling in human airways

ABSTRACT: Inhaled corticosteroids (ICS) control airway inflammation in mild to moderate asthma by reducing inflammatory gene expression. However, incomplete understanding of the molecular mechanisms underpinning corticosteroid action hinders development of improved therapies for more severe disease. Microarray analysis was performed on RNA from biopsies taken from healthy individuals after receiving single dose of ICS to characterize corticosteroid-induced modulation of gene expression in the human airways. Healthy male, non-smoker, non-allergic volunteers (age 18-50 years) with normal lung function were recruited into a prospective, double-blind, placebo-controlled, randomized, two-period crossover study involving an initial screening visit, followed by two intervention visits. Participants were screened at visit 1 for fulfilment of the study eligibility criteria. At visit 2, volunteers were randomized to receive inhaled budesonide (1600 Âµg) or placebo, both via Turbuhaler. Two to three weeks later, at visit 3, participants received either budesonide or placebo, as appropriate to complete both study arms. Six hours after placebo or a budesonide inhalation, bronchial biopsies were obtained via bronchoscopy.

ORGANISM(S): Homo sapiens

SUBMITTER: Robert Newton

PROVIDER: E-GEOD-83233 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Rationale: Steroids are the mainstay of asthma therapy. However, it is unclear whether the benefits of steroids in asthma are merely based on anti-inflammatory properties. Steroids may also alter gene expression of airway smooth muscle (ASM). Hypothesis and Aims: We hypothesized that the transcriptomic profile of the ASM layer in endobronchial biopsies of atopic asthma patients changes by oral steroid therapy. First, we examined the change in ASM transcriptomic profile in endobronchial biopsies after 14 days of oral steroid therapy. Second, we investigated the association between changes in ASM transcriptomic profile and airway function. Methods: 12 atopic steroid-free asthma patients were included in this double-blind intervention study. Endobronchial biopsies were taken before and after 14 days of oral prednisolon (n=6) or placebo (n=6). RNA of laser-dissected ASM was sequenced (RNA-Seq) using the GS FLX+ System (454/Roche). Gene networks were identified using Ingenuity Pathway Analysis. RNA-Seq reads were assumed to follow a negative binomial distribution. At the current sample size the estimated false discovery rate was approximately 3%. Results: 15 genes were significantly changed by 14 days of oral prednisolon. 2 of these genes (FAM129A, SYNPO2) were associated with the methacholine PC20 (r=0.637, p=0.035; r=0.662, p=0.027). Pathway analysis revealed 3 gene networks that were associated with cellular functions including cellular growth, proliferation, and development. Conclusion: Oral prednisolon changes the gene expression profile of the ASM layer in asthma. This indicates that steroids also exert effects on the transcriptomic level of ASM in addition to their anti-inflammatory properties, which can promote improved airway function. The current randomized, double-blind, parallel, placebo-controlled intervention study comprised 4 visits. At visit 1, asthma patients were screened according to the in- and exclusion criteria prior to enrollment. Additionally, spirometry and methacholine bronchoprovocation test were performed. At visit 2, FEV1 reversibility was measured and endobronchial biopsies were collected during a bronchoscopy. Asthma patients were then prescribed oral prednisolon at a dose of 0.5 mg/kg per day or placebo for 14 consecutive days. The dosage and dosing scheme was based on international recommendations for the treatment of acute exacerbations [1]. On the 11th day after visit 2, the patients visited the lung function laboratory for spirometry and methacholine bronchoprovocation test. Finally, at visit 4 (15th day after visit 2) FEV1 reversibility was measured and endobronchial biopsies were collected by bronchoscopy. Airway smooth muscle was collected from the biopsies by laser capture microdissection and total RNA isolated. cDNA was prepared using the Ovation RNA-Seq System (NuGEN). RNA-Seq was performed using the GS FLX+ instrument (454/Roche). Sequence reads were mapped against the human genome (hg19; UCSC). Comparison of the numbers of reads per gene between the prednisolon and placebo study group was carried out with the R package DESeq.

Project description:Rationale: Asthma and atopy shares common features including Th2-inflammation. However, impairment of airway function seems to be absent in atopy. Increased understanding of the complex cellular and molecular pathways defining the similarities and differences between asthma and atopy may be achieved by transcriptomic analysis (RNA-Seq). Hypothesis and Aims: As the airway smooth muscle (ASM) layer plays an important role in airway function, we hypothesized that the transcriptomic profile of the ASM layer in endobronchial biopsies is different between atopic asthma patients and atopic healthy controls. First, we examined the differences in transcriptomic profiles of the ASM layer in endobronchial biopsies between atopic mild, steroid-free asthma patients, and atopic and non-atopic healthy controls. Second, we investigated the association between the transcriptomic profiles of the ASM layer and airway function. Methods: This cross-sectional study included 12 steroid-free atopic asthma patients, 6 atopic, and 6 non-atopic healthy controls. RNA of ASM from 4 endobronchial biopsies per subject was isolated and sequenced (GS FLX+, 454/Roche). Ingenuity Pathway Analysis was used to identify gene networks. Comparison of the numbers of reads per gene in asthma and controls was based on the negative binomial distribution. At the current sample size the estimated false discovery rate was approximately 1%. Results: Yield of isolated RNA was 30-821ng. We identified 174 differentially expressed genes between asthma and atopic controls, 108 between asthma and non-atopic controls, and 135 between atopic and non-atopic controls. A set of 8 genes was identified, which seems to define asthma patients from non-asthmatic controls regardless of atopy. Four of these genes were significantly associated with airway hyperresponsiveness. Conclusion: A difference in transcriptomic profile of the airway smooth muscle layer in asthma patients compared to atopic and non-atopic healthy controls may lead to a different regulation of inflammatory pathways and of airway smooth muscle function and development resulting in impaired airway function. This cross-sectional transcriptomics study consisted of 2 visits. At visit 1, asthma patients (n=12), and healthy atopic (n=6) and non-atopic (n=6) controls were screened for eligibility to participate according to the in- and exclusion criteria. Spirometry and a methacholine bronchoprovocation test were performed. At visit 2, FEV1 reversibility was measured and 4 endobronchial biopsies per subject were collected during a bronchoscopy. Airway smooth muscle was collected from the biopsies by laser capture microdissection and total RNA isolated. cDNA was prepared using the Ovation RNA-Seq System (NuGEN). RNA-Seq was performed using the GS FLX+ instrument (454/Roche). Sequence reads were mapped against the human genome (hg19; UCSC). Comparison of the numbers of reads per gene between asthma and healthy controls was based on the negative binomial distribution and carried out with the R package DESeq including correction for multiple testing.

Project description:Rationale: The cellular and molecular pathways in asthma are highly complex. Increased understanding can be obtained by unbiased transcriptomic analysis (RNA-Seq). Hypothesis and Aims: We hypothesized that the transcriptomic profile of whole human endobronchial biopsies differs between patients with asthma and controls. First, we investigated the feasibility to obtain RNA from whole endobronchial biopsies suitable for RNA-Seq. Second, we examined the difference in transcriptomic profiles between asthma and controls. Methods: This cross-sectional study compared 4 steroid-free atopic asthma patients and 5 healthy non-atopic controls. RNA of ASM from 4 endobronchial biopsies per subject was isolated and sequenced (GS FLX+, 454/Roche). Ingenuity Pathway Analysis was used to identify gene networks. Comparison of the numbers of reads per gene in asthma and controls was based on the Poisson distribution. At the current sample size the estimated false discovery rate was 4%. Results: Yield of isolated RNA was 900-9,300ng. We identified 10,167 and 11,006 unique genes for asthma and controls, respectively. Forty-six genes were differentially expressed between asthma and controls, including pendrin, periostin, and BCL2. Ten gene networks involved in cellular morphology, movement, and development had an IPA network score ≥2. Conclusion:RNA isolated from whole human endobronchial biopsies is suitable for RNA-Seq, showing different transcriptomic profiles between asthma and controls. Novel and confirmative genes were found to be linked to asthma. These results indicate that biological processes in the airways of asthma patients are differently regulated compared to healthy controls, which may be relevant for the pathogenesis and treatment of the disease. This cross-sectional transcriptomics study consisted of 2 visits. At visit 1, atopic asthma patients (n=4), and healthy non-atopic controls (n=5) were screened for eligibility to participate according to the in- and exclusion criteria. Spirometry and a methacholine bronchoprovocation test were performed. At visit 2, FEV1 reversibility was measured and 4 endobronchial biopsies per subject were collected during a bronchoscopy. Total RNA from whole endobronchial biopsies was collected. cDNA was prepared using the Ovation RNA-Seq System (NuGEN). RNA-Seq was performed using the GS FLX+ instrument (454/Roche). Sequence reads were mapped against the human genome (hg19; UCSC). Comparison of the numbers of reads per gene between asthma and healthy controls was based on the Poisson distribution.

Project description:Segmental instillation of lipopolysaccharide (LPS) by bronchoscopy can be used as a model to safely induce transient airway inflammation in the human lung. The LPS challenge model enables investigation of cellular mechanisms involved in pulmonary inflammatory processes as well as pharmacodynamic analysis of investigational drugs for the treatment of respiratory diseases. Aim of this work was to describe the transcriptomic profile of the human segmental LPS challenge model with contextualization to major respiratory diseases. Pre-challenge bronchoalveolar lavage fluid (BAL) and biopsies were sampled from twenty-eight smoking, healthy subjects, followed by segmental LPS challenge and saline control challenge. Twenty-four hours post instillation, BAL and biopsies were collected from the challenged lung segments. Total RNA of cells from BAL and biopsy samples were sequenced for subsequent data analysis. Differential gene expression analysis resulted in 6316 upregulated differentially expressed genes (DEGs) and 241 downregulated DEG in BAL, but only one downregulated DEG in biopsy samples after LPS challenge compared to saline challenge. Upregulated DEG in BAL were related to molecular functions such as “Inflammatory response” or “antimicrobial humoral immune response mediated by antimicrobial peptide”, enriched biological processes such as “chemokine receptor activity”, and upregulated pro-inflammatory pathways such as “Wnt signaling pathway”, “Ras signaling pathway” or “JAK-STAT signaling pathway”. Furthermore, the segmental LPS challenge model resembled aspects of the five most prevalent respiratory diseases chronic obstructive pulmonary disease (COPD), asthma, pneumonia, tuberculosis and lung cancer and featured similarities with acute exacerbations in COPD (AECOPD) and community-acquired pneumonia (CAP). Overall, our study provides extensive information about the transcriptomic profile from BAL cells and mucosal biopsies following LPS challenge in healthy smokers. It expands the knowledge about the LPS challenge model providing potential overlap with respiratory diseases in general and infection-triggered respiratory insults such as AECOPD in particular.

Project description:Introduction: In the recently completed Dutch GLUCOLD study, treatment of COPD patients with fluticasone ± salmeterol reduced the rate of decline in FEV1. These results indicate that ICS can have therapeutic efficacy in COPD. Aim: To explore the molecular mechanisms by which ICS exert their effects, we performed genome-wide gene expression profiling on bronchial biopsies from COPD patients who participated in the GLUCOLD study. Methods: An Affymetrix Human Gene Array ST version 1.0 was performed in a total of 221 bronchial biopsies that were available from 90 COPD patients at baseline and after 6 and 30 months of therapy. Linear mixed effects modeling was used to analyze treatment-specific changes in gene expression. A validation set was included and pathway analysis was performed with Gene Set Enrichment Analysis (GSEA). Results: The expression of 138 genes significantly decreased after both 6 and 30 months of treatment with fluticasone ± salmeterol versus placebo, whereas the expression of 140 genes increased. A more pronounced treatment-induced change in expression of 51 of these 278 genes was associated with a slower rate of decline in FEV1. Genes that decreased with treatment were involved in pathways related to cell cycle, oxidative phosphorylation, epithelial cell signaling, p53 signaling and T cell signaling. Genes that increased with treatment were involved in pathways related to focal adhesion, gap junction and extracellular matrix deposition. Conclusion: The present study suggests that gene expression in biological pathways of COPD is dynamic with treatment and reflects disease activity. This study opens the gate to targeted and phenotype-driven therapy of COPD. First, a total of 162 samples were analysed (RNA derived from bronchial biopsies from COPD patients before and after treatment with fluticasone +/- salmeterol or placebo [GLUCOLD study]), 107 samples before and after 6 and 30 months of treatment with fluticasone +/- salmeterol and 55 samples before and after treatment with placebo. A total of 278 genes were found that changed in expression after both 6 and 30 months of treatment with fluticasone +/- salmeterol versus placebo. Next, an additional number of 59 samples from the fouth GLUCOLD treatment were put on array. In this study arm, COPD patients were treated for 6 months with fluticasone and then fluticasone was discontinued and patients switched to placebo for the remaining 24 months of the study.

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An inhaled dose of budesonide induces genes involved in transcription and signaling in human airways

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