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Omics · study · 2026

Single-cell analysis reveals epithelial alarmin-associated immune architecture in pediatric refractory and rhinovirus-positive asthma

Listed in NCBI GEO

Description

Background

Asthma in children is increasingly recognized as biologically distinct from adult disease, yet the cellular organization underlying refractory asthma and virus-associated exacerbation remains poorly defined. In particular, how chronic airway remodeling and acute viral responses are integrated within the pediatric airway microenvironment is not well understood.

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Methods

Children with asthma were classified into refractory asthma (defined according to Global Initiative for Asthma criteria) and rhinovirus-positive asthma (defined by qPCR-confirmed rhinovirus infection). Bronchoalveolar lavage fluid samples from children with refractory asthma (n = 5), rhinovirus-positive asthma (n = 4) and healthy controls (n = 6) were subjected to single-cell RNA sequencing, followed by integrative bioinformatic analysis and cross-age comparison with adult asthma datasets.

Controls were obtained from individuals undergoing bronchoscopy for non-inflammatory indications and lacked a history of atopy or airway inflammatory disease. Results: Pediatric refractory asthma showed increased epithelial cell representation, elevated epithelial alarmin–related gene expression, enhanced chemokine and interferon-stimulated gene signatures, and increased expression of remodeling-associated genes. Cell–cell communication analysis identified enhanced macrophage-to-epithelium signaling mediated through FN1–CD44/αVβ integrin interactions.

Rhinovirus-positive asthma exhibited a more pronounced inflammatory profile, characterized by increased T-cell abundance, enhanced chemokine and interferon responses, and strengthened CTL–macrophage communication via the CCL5–CCR1 axis. Cross-age comparison indicated relatively higher epithelial alarmin–associated features in pediatric asthma and stronger chemokine-associated signatures in adult asthma.

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From keywords
Life Sciences
Inferred from text
Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32951311 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title