Gene expression profiling of peripheral blood from uncontrolled and controlled asthma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE188424 | GEO | 2021/11/09
REPOSITORIES: GEO
Similar Datasets
Project description:Gene expression profiling of peripheral blood from uncontrolled and controlled asthma
| PRJNA778769 | ENA
Project description:As part of the Taiwanese Consortium of Childhood Asthma Study (TCCAS), a new prospective sub-study was conducted to investigate the effectiveness of inhaled corticosteroids (ICS) treatment. Patients were categorized as either responders (R) or non-responders (NR), based on the improvement of their pulmonary function after ICS treatment. We analyzed the transcriptomes of asthma with ICS non-responsers and responders.
2023-04-24 | GSE230048 | GEO
Project description:Background: Asthma, a complex chronic lung disease affecting the airways, has striking disparities across ancestral groups, but the molecular underpinning of these differences is poorly understood and minimally studied. A major goal of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is to understand multi-omics signatures of asthma risk in the nasal epithelium focusing on populations of African ancestry. Methods: RNASeq data were generated from nasal epithelium in subjects recruited from up to 7 sites (Baltimore, Washington DC, Chicago, Denver, Salvador Brazil, Barbados, and Nigeria). Current asthma cases (N=253) were compared to never-asthma controls (N=283) to identify differentially expressed genes (DEGs; q <0.05). Network analyses were performed with Ingenuity Pathway Analysis (IPA; DEGs with q<0.05) and weighted gene co-expression network analysis (WGCNA; DEGs with q<0.15). All models were fully adjusted for ancestry, sampling site, and appropriate latent factors. Findings: CAAPA represents diversity across the African Diaspora with a wide range of continental African ancestry (9%-100%). We identified 389 DEGs; the top DEG, FN1, was downregulated in asthma cases (q=3.26x10-9) and encodes fibronectin which plays a role in wound healing. Others in the top 10 DEGs have high relevance for asthma: SNTG2 (q = 1.12x10-4) is the target of multiple miRNAs related to asthma; PPP1R9A expression (q=7.60x10-5) was previously determined to be influenced by IL-13 in mouse lung; and SPTBN1 (q=1.12x10-4) plays a key role in mediating TGFβ signaling. IPA revealed networks with upstream regulators relevant for immune response (IL4; p=7.25x10-10 and TGFβ1; p=5.47x10-8) and drug response (dexamethasone; p=4.31x10-10 and fluticasone propionate; p=9.42x10-8). Among asthma cases, genes regulated by dexamethasone and fluticasone propionate were not associated with inhaled corticosteroid medication use. The top three WGCNA modules implicate networks related to immune response (CEACAM5; p=9.62x10-16 and CPA3; p=2.39x10-14) and wound healing (FN1; p=7.63x10-9). Multi-omic analysis identified FKBP5 as a key contributor to asthma risk, whereby the association between nasal epithelium gene expression is mediated through methylation and is associated with increased use of inhaled corticosteroids. FKBP5 is a co-chaperone of glucocorticoid receptor signaling and known to be involved in drug response in asthma. Interpretation: Our analyses reveal genes and networks in asthma that are differentially expressed in nasal epithelium of asthma cases of African ancestry in CAAPA. Importantly, this work reveals molecular dysregulation on three axes – increased Th2 inflammation, decreased capacity for wound healing, and impaired drug response – that may play a critical role in asthma within the African Diaspora.
2023-08-16 | GSE240567 | GEO
Project description:Transcriptional profiling of lung epithelial brushing mRNA from severe uncontrolled asthmatics
2017-06-06 | GSE65584 | GEO
Project description:There is high variability in responses to drug therapy for hypertension. Gene expression may help enlighten molecular mechanisms of genome control underlying pathophysiology. This study identifies and characterizes, in replicate samples, a gene expression signature that classifies individuals into controlled and uncontrolled hypertensives.
2018-12-18 | GSE71994 | GEO
Project description:Background: Functional enrichment analysis of genome-wide association study (GWAS)-summary statistics has suggested that immune cell-types, and especially CD4+ T-cells, play an important role in asthma pathogenesis. Despite this, CD4+ T-cells are under-represented in asthma transcriptome studies. Objective: To identify differences in gene expression between asthmatics and healthy controls in CD4+ T-cells. Methods: CD4+ T-cells were isolated within 2 hours from collection from peripheral blood from people with well-established asthma (n=33) and healthy controls (n=12). 3'-RNA-Seq was used to generate gene expression data. Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify sets of co-expressed genes (modules). The asthma-associated modules were tested for enrichment of GWAS-identified asthma genes and gene ontology (GO) biological processes. For the genes in the asthma-associated modules, integration of eQTL and GWAS summary statistics (colocalisation), and protein-protein interaction (PPI) data was used to identify master regulators. Results: After quality control, 43 samples were available for the analysis. WGCNA identified three modules associated with asthma, which are strongly enriched for GWAS-identified asthma genes, antigen processing/presentation and immune response to viral infections. Colocalisation analysis of eQTL and GWAS summary statistics, together with PPI data, identified PTPRC as a master regulator of asthma gene-expression profiles in CD4+ T-cells. Conclusion: Unstimulated CD4+ T-cells from peripheral blood from asthmatics have different expression profiles, compared to healthy controls, for sets of genes involved in immune response to viral infections and antigen processing/presentation . Integration of genetic and protein-protein interaction data identified PTPRC as a master regulator of genes in asthma.
2023-12-27 | GSE217904 | GEO
Project description:Maternal asthma (MA) is among the most consistent risk factors for asthma in her children. Possible mechanisms for this observation are epigenetic modifications in utero that have lasting effects on developmental programs in children of mothers with asthma. To test this hypothesis, we performed differential DNA methylation analyses of 398,186 individual CpG sites in primary bronchial epithelial cells (BECs) from 42 non-asthma controls and 88 asthma cases, including 56 without MA (NMA) and 32 with MA. We used weighted gene co-expression network analysis (WGCNA) of 69 and 554 differentially methylated CpGs (DMCs) that were specific to NMA or MA cases, respectively, compared to controls. WGCNA grouped 66 NMA-DMCs and 203 MA-DMCs into two and five co-methylation modules, respectively. The eigenvector of one MA-associated module (turquoise) was uniquely correlated with 85 genes expressed in BECs and enriched for 36 pathways, 16 of which discriminated between NMA and MA using machine learning. Genes in all 16 pathways were decreased in MA compared to NMA cases (P=7.1x10-3), a finding that replicated in nasal epithelial cells from an independent cohort (P=0.02). Functional interpretation of these pathways suggested impaired T cell signaling and responses to viral and bacterial pathogens. The MA-associated turquoise module eigenvector was additionally correlated with clinical features of severe asthma and reflective of type 2 (T2)-low asthma (i.e., low total serum IgE, fractional exhaled nitric oxide, and eosinophilia). Overall, these data suggest that maternal asthma alters diverse epigenetically-mediated pathways that lead to distinct subtypes of severe asthma in adults including hard-to-treat T2-low asthma.
2022-05-02 | GSE201872 | GEO
Project description:Maternal asthma (MA) is among the most consistent risk factors for asthma in her children. Possible mechanisms for this observation are epigenetic modifications in utero that have lasting effects on developmental programs in children of mothers with asthma. To test this hypothesis, we performed differential DNA methylation analyses of 398,186 individual CpG sites in primary bronchial epithelial cells (BECs) from 42 non-asthma controls and 88 asthma cases, including 56 without MA (NMA) and 32 with MA. We used weighted gene co-expression network analysis (WGCNA) of 69 and 554 differentially methylated CpGs (DMCs) that were specific to NMA or MA cases, respectively, compared to controls. WGCNA grouped 66 NMA-DMCs and 203 MA-DMCs into two and five co-methylation modules, respectively. The eigenvector of one MA-associated module (turquoise) was uniquely correlated with 85 genes expressed in BECs and enriched for 36 pathways, 16 of which discriminated between NMA and MA using machine learning. Genes in all 16 pathways were decreased in MA compared to NMA cases (P=7.1x10-3), a finding that replicated in nasal epithelial cells from an independent cohort (P=0.02). Functional interpretation of these pathways suggested impaired T cell signaling and responses to viral and bacterial pathogens. The MA-associated turquoise module eigenvector was additionally correlated with clinical features of severe asthma and reflective of type 2 (T2)-low asthma (i.e., low total serum IgE, fractional exhaled nitric oxide, and eosinophilia). Overall, these data suggest that maternal asthma alters diverse epigenetically-mediated pathways that lead to distinct subtypes of severe asthma in adults including hard-to-treat T2-low asthma.
2022-05-04 | GSE201955 | GEO
Project description:Background: MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA-mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published. Methods: We conducted a genome-wide analysis of microRNA and messenger RNA (mRNA) in the sputum from patients with asthma and correlated expression with clinical phenotypes. Weighted gene correlation network analysis (WGCNA) was implemented to identify microRNA networks (modules) that significantly correlate with clinical features of asthma and mRNA expression networks. MicroRNA expression in peripheral blood neutrophils and lymphocytes, and in situ hybridization of the sputum were used to identify the cellular sources of microRNAs. MicroRNA expression obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in the airway. Results: Six microRNA modules were associated with clinical features of asthma. A single module (nely) was associated with a history of hospitalizations, lung function impairment, and numbers of neutrophils and lymphocytes in the sputum. Of the 12 microRNAs in the nely module, hsa-miR-223-3p was the highest expressed microRNA in neutrophils and was associated with increased neutrophil counts in the sputum in response to ozone exposure. Multiple microRNAs in the nely module correlated with two mRNA modules enriched for toll-like receptor (TLR) and Th17 signaling, and endoplasmic reticulum stress. Hsa-miR-223-3p was a key regulator of the TLR and Th17 pathways in the sputum of subjects with asthma. Conclusions: This study of sputum microRNA and mRNA expression from patients with asthma demonstrates the existence of microRNA networks and genes that are associated with features of asthma severity. Among these, hsa-miR-223-3p, a neutrophil-derived microRNA, regulates TLR/Th17 signaling and endoplasmic reticulum stress.
2020-03-04 | GSE146306 | GEO
Project description:Background: Asthma is the most common chronic disease in children with an increasing prevalence in recent years. Its development depends on genetic and environmental factors and allergic sensitization is a known trigger. Dog allergens affect up to 30% of all children and dog dander-sensitized children show increased expression of cystatin-1 (CST1) and eotaxin-3 (CCL26). The aim of our study was to investigate the functional mechanism of CST1 and CCL26 in the alveolar basal epithelial cell line A549. Methods: A549 cells were transfected with individual overexpression vectors for CST1 and CCL26 and RNA sequencing was performed to examine the transcriptomics. DESeq2 was used to identify differentially expressed genes (= DEG) and ShinyGO v0.77 and Enrichr for pathway enrichment analysis. Results: The overexpression of CST1 resulted in a total of 23 DEG (3 upregulated and 20 downregulated) and the overexpression of CCL26 in a total of 113 DEG (3 upregulated and 110 downregulated). The gene ontology enrichment analysis showed a significant downregulation of type I and III interferon signaling pathway genes as well as interferon-stimulated genes. Conclusion: Our results indicate that an overexpression of CST1 and especially CCL26 cause a downregulation of interferon related genes. It might cause a higher disease susceptibility, mainly for allergic asthma, as CCL26 is an agonist for CCR-3-carrying cells, such as eosinophils and Th2 lymphocytes, mostly active in allergic asthma.
2024-01-19 | GSE229741 | GEO