Gene regulation in monocytes and CD4+ T cells from low-SES vs. high-SES children with asthma
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PROVIDER: PRJNA430918 | ENA |
REPOSITORIES: ENA
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Project description:There are marked socioeconomic disparities in pediatric asthma control. To identify the molecular origins of these disparities, we performed genome-wide expression profiling of monocytes and T-helper cells isolated from pediatric asthma patients of lower- and higher socioeconomic status (SES).
2018-06-14 | GSE109455 | GEO
Project description:Asthma and postinfectious bronchiolitis obliterans (PIBO) are chronic lung diseases characterized by recurrent episodes of wheezing. Mycoplasma, adenovirus, and respiratory syncytial virus infections can trigger both asthma and PIBO. These two diseases have common etiologic mechanisms that cause airway epithelial injury. They are often difficult to differentiate clinically in preschool children because both are exacerbated by viral infections and respond similarly to steroids and β2 agonists. PIBO, which is occasionally observed in children, is diagnosed through characteristic findings of air trapping on computed tomography or in biopsy samples of lung tissue. However, researchers have not clearly identified the specific blood markers that can distinguish these diseases or the differences in the mechanisms of development. We performed proteomic analysis of plasma to identify specific biomarkers that can be helpful in differentiating asthma from PIBO. This study discovered plasma biomarker candidates by measuring plasma proteome sequential window acquisition of all theoretical mass spectra (SWATH-MS) and included 30 healthy children, 18 with asthma and 15 with PIBO. was used to measure proteins in plasma samples. We identified and quantified 354 proteins across all 63 samples in the SWATH-MS analysis.
2022-12-01 | PXD034996 | Pride
Project description:Asthma is an inflammatory disease of the airways characterised by episodic airway obstruction resulting in cough, episodic shortness of breath. It is, and is clinically and physiologically heterogeneous. It is estimated that around 300 million people worldwide have the diseaseare diagnosed with asthma, including up to 20% of children (Asher et al, 2006), with 5–10% of these children believed to have severe or difficult-to-treat asthma. Asthma has often been classified in terms of severity and based on clinical diagnostic criteria, but it is now apparent that the heterogeneity that exists at the physiological level is also a feature of the underlying pathological mechanisms (Lotvall et al, 2011). The aim of this study was to identify blood transcriptomics profiles for children diagnosed with asthma or wheeze, and establish whether these profiles suggested endotypes or mechanisms that could underlie disease, or be related to disease severity, in these children. Importantly, given that children are currently treated with the same medicines as adults, we also aimed to compare profiles of children to those of adults with asthma to help determine whether efforts should be directed to the development of medicines targeting pathways and mechanisms that may be unique to children. To this end, we used gene transcriptome data generated from blood samples from adults and children from the U-BIOPRED consortium to ask how similar or different the differential gene expression profiles were between groups of adults and pre-school or school-aged children with severe or mild-moderate asthma (or wheeze for the pre-school aged children) using current definitions. The Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) project was set up as a public-private partnership within the framework of the Innovative Medicines Initiative (IMI), engaging academia, the pharmaceutical industry and patient groups. The goal of this investigation was to identify transcript fingerprints in whole blood that characterize patients with severe asthma and to determine whether subgroups of severe asthmatics can be identified.
2019-06-30 | GSE123750 | GEO
Project description:Our study aimed to better understand the immune responses during an acute asthma exacerbation in children. Gene expression profiles were examined by RNA-sequencing in blood samples. Samples were collected on average 2.5 day after systemic corticosteroid treatment. Our findings show that pro-inflammatory genes and pathways related to innate responses and signaling remained increased in children hospitalized for acute asthma exacerbation. Genes and pathways involved in adaptive immune respones, particularly T lymphocyte activation, were decreased in children hospitalized for acute asthma exacerbation. These studies suggest that innate immune responses may remain activated following hospitalization for asthma exacerbation.
2024-06-17 | GSE256534 | GEO
Project description:In this proof-of-concept study, we piloted a precision endotyping approach focused on DNA methylation biomarkers (CpG methylation) which are regulatory base modifications to DNA that influence cellular immune responses across the life course. The aims of this study were to (a) pilot a precision endotyping approach in a selected group of children from the Rochester prospective cohort who exhibited characteristics of high respiratory infection allergy/asthma prone (IAP) and low vaccine responsiveness (LVR) in early childhood, compared to non-respiratory infection allergy/asthma prone (NIAP) children and (b) assess whether stimulation of PBMCs with stimuli a vaccine adjuvant that activating activates a pattern recognition receptors (PRRs) could re-shape the epigenome.
2024-08-05 | GSE272991 | GEO
Project description:In the first decade of life, high-asthma risk urban children develop stable phenotypes of respiratory health versus disease that link early life environmental exposures to childhood allergic sensitization and asthma. Moreover, unique patterns of nasal gene expression demonstrate how specific molecular pathways underlie distinct respiratory phenotypes, including allergic and non-allergic asthma.
2021-04-01 | GSE145505 | GEO
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.
2022-04-15 | GSE161485 | GEO
Project description:Nasal swab specimens were collected from children who presented to the emergency department with an acute exacerbation of asthma or wheeze. Samples were also collected from control subjects. Convalescent/quiescent samples were collected from children who were followed-up at least 6 weeks after an acute exacerbation of asthma or wheeze. Gene expression was profiled on microarrays.
2019-02-17 | GSE103166 | GEO
Project description:We compare the CD4+ T cell transcriptome between obese and normal-weight children with asthma to identify molecules/pathways differentially expressed in obese asthmatic CD4+ T cells
2018-02-14 | GSE86430 | GEO
Project description:We determined whether we could identify clusters of children with critical asthma by plasma cytokine concentration. Differences in gene expression between the two clusters were analyzed using a targeted Nanostring immunology array. We performed a single-center, prospective, observational cohort study of 64 children ages 6 – 17 years admitted to a pediatric intensive care unit for an asthma attack between July 2019 to February 2021.
2022-07-15 | GSE208220 | GEO