ArticleAllergy2024
Transcriptomic evaluation of skin tape-strips in children with allergic asthma uncovers epidermal barrier dysfunction and asthma-associated biomarkers abnormalities.
Article in Allergy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Noninvasive Skin Surface Sampling Identifies Elevated IL-1β and IL-6 in Paediatric Atopic Dermatitis Patients.Acta dermato-venereologica · 2026Article
- Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026Review
- Comparative analysis of candidate gene expression in Asian atopic dermatitis and psoriasis: identification of shared and distinct molecular features.Frontiers in medicine · 2026Article
- Mechanically induced dysregulation of calcium homeostasis: a molecular linchpin in asthmatic pathogenesis.European journal of medical research · 2025Review
- Skin-lung axis in the atopic march: The immune link from skin to lungs.Chinese medical journal pulmonary and critical care medicine · 2025Review
- EPAS1 amplifies asthma pathogenesis through JAK2/STAT3-mediated ferroptosis and inflammation.Biomolecules & biomedicine · 2025Article
- Tape Strip Profiling of Checkpoint Inhibitor-Associated Dermatitis Highlights Pan-T-Cell Activation: A Pilot Study.JID innovations : skin science from molecules to population health · 2025Article
- Review of sensory systems deployed by epidermal keratinocytes.Frontiers in cell and developmental biology · 2025Review
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Authors and funding
16 authors at 5 institutions in 4 countries.
Funding
Abstract
introductionTape-strips, a minimally invasive method validated for the evaluation of several skin diseases, may help identify asthma-specific biomarkers in the skin of children with allergic asthma.
methodsSkin tape-strips were obtained and analyzed with RNA-Seq from children with moderate allergic asthma (MAA) (n = 11, mean age 7.00; SD = 1.67), severe allergic asthma (SAA) (n = 9, mean age 9.11; SD = 2.37), and healthy controls (HCs) (n = 12, mean age 7.36; SD = 2.03). Differentially expressed genes (DEGs) were identified by fold change ≥2 with a false discovery rate <0.05. Transcriptomic biomarkers were analyzed for their accuracy in distinguishing asthma from HCs, their relationships with asthma-related outcomes (exacerbation rate, lung function-FEV1, IOS-R5-20, and lung inflammation-FeNO), and their links to skin (barrier and immune response) and lung (remodeling, metabolism, aging) pathogenetic pathways.
resultsRNA-Seq captured 1113 in MAA and 2117 DEGs in SAA. Epidermal transcriptomic biomarkers for terminal differentiation (FLG/filaggrin), cell adhesion (CDH19, JAM2), lipid biosynthesis/metabolism (ACOT2, LOXL2) were significantly downregulated. Gene set variation analysis revealed enrichment of Th1/IFNγ pathways (p < .01). MAA and SAA shared downregulation of G-protein-coupled receptor (OR4A16, TAS1R3), upregulation of TGF-β/ErbB signaling-related (ACVR1B, EGFR, ID1/2), and upregulation of mitochondrial-related (HIGD2A, VDAC3, NDUFB9) genes. Skin transcriptomic biomarkers correlated with the annualized exacerbation rate and with lung function parameters. A two-gene classifier (TSSC4-FAM212B) was able to differentiate asthma from HCs with 100% accuracy.
conclusionTape-strips detected epithelial barrier and asthma-associated signatures in normal-appearing skin from children with allergic asthma and may serve as an alternative to invasive approaches for evaluating asthma endotypes.
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