GEO series
Atopic asthma lowers nasal mucosal sphingolipids
GSE297032
Homo sapiens
Expression profiling by high throughput sequencing
24 samples
2026/05/03
GPL34284
Summary
Genetic variations at the 17q21 asthma-risk locus regulate the expression of gasdermin B (GSDMB) and ORMDL3, influencing inflammatory responses and sphingolipid metabolism. While asthma-associated 17q21 variations are known to affect ORMDL3 expression in immune and airway smooth muscle cells, its role in airway epithelial sphingolipid metabolism remains unclear. We investigated whether asthma and 17q21 genetic variations influence sphingolipid composition in the upper respiratory tract and how immune vs. epithelial cells contribute to this process. Sphingolipid profiles were analyzed in nasal fluid and blood from children with and without asthma. We also examined gene expression and sphingolipid composition in nasal epithelial cells and PBMCs from healthy adults homozygous for the rs7216389 C/C and T/T (asthma-risk) genotypes. Children with atopic asthma exhibited lower nasal fluid sphingolipids, including sphinganine, dihydroceramides, and ceramides, independent of corticosteroid use or allergic rhinitis. Asthma was further associated with higher plasma sphingolipids and lower blood cell sphingolipids, the latter mirroring patterns in nasal fluid. In PBMCs, the T allele increased ORMDL3 expression, suppressing de novo sphingolipid synthesis. However, in nasal epithelial cells, the T allele mainly increased GSDMB and there was no effect on sphingolipid metabolism. These findings establish nasal fluid sphingolipid profiling as a potential marker for atopic asthma and provide evidence of a cell-type-specific effect of 17q21 genetic variants. While ORMDL3-mediated sphingolipid suppression occurs in PBMCs and not airway epithelial cells, its systemic effects may contribute to lower airway sphingolipids in asthma.
Download
NCBI GEO page ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE341139 A conserved HAND2-BMP5-SMAD1/5/9 axis drives hepatic stellate cell activation and extracellular matrix overproduction in multiple fibrotic etiologies 10 samples
- GSE274275 Effect of depletion of NSUN4 on gene expression of NCI-H226 cells [RNA-seq] 6 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.