Gene expression profiling of novel glucocorticoids for severe asthma in RAW264.7 cells
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ABSTRACT:
PROVIDER: PRJNA490322 | ENA |
REPOSITORIES: ENA
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Project description:To investigate the anti-inflammation activity of novel glucocorticoids, we used microarray to profile gene expression pattern of novel GC VSG158 and VSG159, in parallel with FF and DEX, in the mouse macrophage RAW264.7 cells.
2019-03-11 | GSE119789 | GEO
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Project description:Background: Asthma is highly heterogeneous and severity evaluation is key to asthma management. DNA methylation (DNAm) contributes to asthma pathogenesis. This study aimed to identify nasal epithelial DNAm differences between severe and non-severe asthmatic children and evaluate the impact of environmental exposures. Methods: Thirty-three non-severe and 22 severe asthmatic African-American children were included in an epigenome-wide association study. Genome-wide nasal epithelial DNAm and gene expression were measured. CpG sites associated with asthma severity and environmental exposures and predictive of severe asthma were identified. DNAm was correlated with gene expression. Enrichment for transcription factor (TF) binding sites or histone modifications surrounding DNAm differences were determined. Results: We identified 816 differentially methylated CpG positions (DMPs) and 10 differentially methylated regions (DMRs) associated with asthma severity. Three DMPs exhibited discriminatory ability for severe asthma. Intriguingly, six DMPs were simultaneously associated with asthma, allergic asthma, total IgE, environmental IgE, and FeNO in an independent cohort of children. 27 DMPs were associated with traffic-related air pollution or secondhand smoke. DNAm at 22 DMPs were altered by diesel particles or allergen in human bronchial epithelial cells. DNAm levels at 39 DMPs were correlated with mRNA expression. Proximal to 816 DMPs, three histone marks and several TFs involved in asthma pathogenesis were enriched. Conclusions: Significant differences in nasal epithelial DNAm were observed between non-severe and severe asthma in African-American children, a subset of which may be useful to predict disease severity. These CpG sites are subject to the influences of environmental exposures and may regulate gene expression.
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Project description:Management of severe asthma remains a challenge despite treatment with glucocorticosteroid therapy. The majority of studies investigating disease mechanisms in treatment-resistant severe asthma have previously focused on the large central airways, with very few utilizing transcriptomic approaches. The small peripheral airways, which comprise the majority of the airway surface area, remain an unexplored area in severe asthma and were targeted for global epithelial gene expression profiling in this study.
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Project description:Severe asthma is a clinically and physiologically heterogeneous disease. Benralizumab is a monoclonal antibody which binds the alpha chain of the interleukin-5 receptor and used for severe eosinophilic asthma worldwide. However, not all eosinophilic asthma patients will benefit from benralizumab due to heterogeneity of this disease. Therefore, we performed comprehensive gene expression analysis of whole blood cells that examine severe asthma disease heterogeneity in response to benralizumab. This study is the first to perform comprehensive transcriptome analysis of whole blood cells to identify transcriptomic endotypes of severe asthma clusters that correlate with benralizumab response. The identified transcriptomic endotypes of severe asthma clusters are associated with gene signatures of eosinophils and neutrophilis.
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Project description:Glucocorticoids are the cornerstone of asthma and other inflammatory disease therapy. Resistance or insensitivity to glucocorticoids presents a substantial and challenging clinical problem. MicroRNAs are emerging as central regulators of inflammation, but it is not clear whether they could augment or attenuate glucocorticoid responses. We aimed to identify microRNAs that regulate cytokine and chemokine expression in airway epithelial cells and whether these miRNAs are subject to the effects of glucocorticoids. MicroRNAomic analyses of primary bronchial epithelial cells and the A549 airway epithelial cell line identified 7 miRNAs that were altered by inflammatory cytokine treatment and 22 that were regulated by glucocorticoids (n=3 for each treatment). miR-146a emerged as a central candidate, whose expression was induced by TNF-alpha and repressed by glucocorticoids. Its role as a candidate in asthmatic inflammation was supported by expression profiling in human asthmatics, which showed that plasma miR-146a expression was elevated in asthma and associated with measures related to worse asthma outcomes, including elevated blood eosinophil counts, higher asthma control questionnaire scores, and need for higher doses of inhaled glucocorticoids. However, transfection of miR-146a in A549 cells treated with TNF-alpha +/- glucocorticoids produced an anti-inflammatory effect and with increased efficacy of glucocorticoids. We propose a model whereby miR-146a is induced by inflammatory conditions as a feedback mechanism to limit inflammation. Glucocorticoids may limit this regulatory pathway by preventing miR-146a expression. Consequently, exogenous administration of miR-146a could be a novel therapeutic strategy to enhance effects of glucocorticoids.
2018-11-01 | GSE120758 | GEO
Project description:Severe asthma is a heterogeneous disease. Transcriptomic analysis contributes to understanding the driver mechanisms necessary for developing new therapies. The aim of this study was to identify mechanistic pathways of severe asthma across two independent cohorts.
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