Methylomic Analysis of Nasal Brushings Reveals Two Subgroups in Pediatric Acute Respiratory Distress Syndrome
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE303363 | GEO | 2026/03/05
REPOSITORIES: GEO
Similar Datasets
Project description:The objective of this study was to identify differences in the nasal methylome of patients with Pediatric ARDS (PARDS) compared to controls and to observe how this might change over time. We found two different methylomic patterns. Subgroup 1 was comprised of entirely of PARDS subjects, and Subgroup 2 contained both control and PARDS subject. Subgroup 1was characterized by hypomethylation of genes related to cell adhesion and hypermethylation of cell metabolism-related genes. Over time, the methylation pattern of PARDS subjects changed, but the pattern of control subjects was stable. Five concurrent bronchial and nasal specimens were obtained showing very few differences in methylation between these two collection sites.
2022-01-06 | GSE192926 | GEO
Project description:The objective of this study was to determine if nasal transcriptomics could be used to characterize the underlying pathobiology and predict clinical course of patients with pediatric ARDS (PARDS). Subjects meeting consensus PARDS criteria or controls admitted to the Pediatric ICU without lung disease had nasal cytology brushings on days 1, 3, 7 and 14. The gene expression of these brushings was compared to identify subtypes and describe clinical course. Concurrent nasal and bronchial brushings were collected if bronchoscopy was performed. We identified four PARDS subgroups, termed A, B, C, and D. Subgroup B was marked by inflammation and ciliary cell dysfunction. Subgroup D was marked by reduced epithelial stem cell mRNAs without inflammation. Subgroup A had hypo-inflammation and upregulation of pathways important in epithelial cell repair. Subgroup C had increased ciliary cell genes. Control specimens almost entirely clustered with Subgroup C, but one that developed PARDS clustered with Subgroup B and several that developed lung injury clustereced with Subgroups B and A. Over time, Subgroups D and B transitioned to A which transitioned to C. Bronchial and nasal gene expresison were similar.
2021-12-24 | GSE192364 | GEO
Project description:Methylomic Analysis of Nasal Brushings Reveals Two Subgroups in Pediatric Acute Respiratory Distress Syndrome
| PRJNA1294896 | ENA
Project description:Importance: Monocytes are plastic cells that assume different polarization states that can either promote inflammation or tissue repair and inflammation resolution. Polarized monocytes are partially defined by their transcriptional profiles that are influenced by environmental stimuli. The airway monocyte response in pediatric acute respiratory distress syndrome (PARDS) is undefined. Objectives: To identify differentially expressed genes and networks using a novel transcriptomic reporter assay with donor monocytes exposed to the airway fluid of intubated children with and at-risk for PARDS. To determine differences in gene expression at two time points using the donor monocyte assay exposed to airway fluid from intubated children with PARDS obtained 48-96 hours following initial tracheal aspirate sampling. Design, Setting and Participants: In vitro pilot study carried out using airway fluid supernatant from 57 children: 44 children with PARDS and 13 children at-risk for PARDS. Main Outcomes and Measures: We performed bulk RNA sequencing using a transcriptomic reporter assay of monocytes exposed to airway fluid from intubated children to discover gene networks differentiating PARDS from at-risk for PARDS. We also report differences in gene expression in children with PARDS 48-96 hours following initial tracheal aspirate sampling. Results: We found that interleukin (IL)-10, -4, and -13, cytokine/chemokine signaling, and the senescence-associated secretory phenotype are upregulated in monocytes exposed to airway fluid from intubated children with PARDS compared to those at-risk for PARDS. Signaling by NOTCH, histone deacetylation/acetylation, DNA methylation, chromatin modifications (B-WICH complex), and RNA polymerase I transcription and its associated regulatory apparatus were upregulation in children with PARDS 48-96 hours following initial tracheal aspirate sampling. Conclusions and Relevance: We identified gene networks important to the PARDS airway immune response using bulk RNA sequencing from a monocyte reporter assay that exposed monocytes to airway fluid from intubated children with and at-risk for PARDS. Mechanistic investigations are needed to validate our findings.
2024-06-01 | GSE250448 | GEO
Project description:Mechanisms underlying paediatric acute respiratory distress syndrome (PARDS) remain poorly understood, limiting advances in diagnosis and treatment. To address this gap, we adopted a high-dimensional multi-omics approach to better understand immune dysregulation in PARDS, aiming to identify distinct pathogenic pathways. We show that severe PARDS is marked by interferon-driven immune dysregulation, with pulmonary T cells and myeloid cells exhibiting strong interferon responses and suppressed IL-1 pathways, resulting in impaired immune cell function and reduced IL-1α/β levels.
2026-05-12 | GSE327171 | GEO
Project description:Osteosarcoma (OS) represents the most common pediatric bone cancer with complex karyotypes. On the genomic level a highly variable degree of alterations in nearly all chromosomal regions and between individual tumors is observable. This hampers the identification of common drivers in OS biology. To identify these common molecular mechanisms involved in the maintenance of OS, we aimed to determine copy number associated gene networks to formalize the tumor heterogeneity between individual patients.
2014-10-31 | E-MTAB-3034 | biostudies-arrayexpress
Project description:Pilocytic astrocytoma (PA) is the most common pediatric brain tumor and driven by aberrant MAPK signaling, typically mediated by BRAF alterations. While five-year overall survival rates exceed 95%, tumor recurrence constitutes a major clinical challenge in incompletely resected tumors despite chemotherapeutic or radiation based therapies. Therefore, we used proteogenomics to discern the biological heterogeneity of PA to improve classification of this tumor entity and identify novel therapeutic targets. Our proteogenomics approach integrates RNA sequencing and LC/MS-based proteomic profiling data from a cohort of 58 confirmed, primary PA samples. An integrative genomics approach was conducted to discern the biological heterogeneity of PA and to identify aberrant pathway activation in these biological subgroups. In summary, Pilocytic astrocytomas segregate into two groups where younger patients are significantly associated with Group 1. Importantly, we validate the two distinct biological subgroups in two non-overlapping cohorts. The biological heterogeneity seen here may improve biological classification and reveal novel therapeutic targets specifically useful for non-resectable tumors with high risk of recurrent or progressive disease.
2023-10-24 | PXD035773 | Pride
Project description:Background: Septic shock is a heterogeneous syndrome within which probably exist several biological subclasses. Discovery and identification of septic shock subclasses could provide the foundation for the design of more specifically targeted therapies. Herein we tested the hypothesis that pediatric septic shock subclasses can be discovered through genome-wide expression profiling. Methods: Genome-wide expression profiling was conducted using whole blood-derived RNA from 98 children with septic shock, followed by a series of bioinformatic approaches targeted at subclass discovery and characterization. Results: Three putative subclasses (subclasses A, B, and C) were initially identified based on an empiric, discovery-oriented expression filter and unsupervised hierarchical clustering. Statistical comparison of the 3 putative subclasses (ANOVA, Bonferonni correction, p < 0.05) identified 6,934 differentially regulated genes. K means clustering of these 6,934 genes generated 10 coordinately regulated gene clusters corresponding to multiple signaling and metabolic pathways, all of which were differentially regulated across the 3 subclasses. Leave one out cross validation procedures indentified 100 genes having the strongest predictive values for subclass identification. Forty-four of these 100 genes corresponded to signaling pathways relevant to the adaptive immune system and glucocorticoid receptor signaling, the majority of which were repressed in subclass A patients. Subclass A patients were also characterized by repression of genes corresponding to zinc-related biology. Phenotypic analyses revealed that subclass A patients were younger, had a higher illness severity, and a higher mortality rate than patients in subclasses B and C. Conclusions: Genome-wide expression profiling can identify pediatric septic shock subclasses having clinically relevant phenotypes. Expression data from 98 children with septic shock and 32 normal controls were generated using whole blood-derived RNA samples representing the first 24 hours of admission to the pediatric intensive care unit. The controls were used for normalization. Subsequently, we used the expression data to derive expression-based subclasses of patients using discovery oriented expression and statistical filters, followed by unsupervised hierarchical clustering.
2011-01-13 | E-GEOD-26440 | biostudies-arrayexpress
Project description:Pilocytic astrocytoma (PA) is the most common pediatric brain tumor and driven by aberrant MAPK signaling, typically mediated by BRAF alterations. While five-year overall survival rates exceed 95%, tumor recurrence constitutes a major clinical challenge in incompletely resected tumors despite chemotherapeutic or radiation based therapies. Therefore, we used proteogenomics to discern the biological heterogeneity of PA to improve classification of this tumor entity and identify novel therapeutic targets. Our proteogenomics approach integrates RNA sequencing and LC/MS-based proteomic profiling data from a cohort of 58 confirmed, primary PA samples. An integrative genomics approach was conducted to discern the biological heterogeneity of PA and to identify aberrant pathway activation in these biological subgroups. In summary, pilocytic astrocytomas segregate into two groups where younger patients are significantly associated with Group 1. Importantly, we validate the two distinct biological subgroups in two non-overlapping cohorts. The biological heterogeneity seen here may improve biological classification and reveal novel therapeutic targets specifically useful for non-resectable tumors with high risk of recurrent or progressive disease.
2023-09-20 | GSE210353 | GEO
Project description:CN133 hampers tumor growth in patient-derived pediatric ependymoma models
| PRJNA578748 | ENA