ArticleAllergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology2022
Identification of gene biomarkers with expression profiles in patients with allergic rhinitis.
Article in Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Environmental Risk Factors, Protective Factors, and Biomarkers for Allergic Rhinitis: A Systematic Umbrella Review of the Evidence.Clinical reviews in allergy & immunology · 2023Pooled it
- Bioassays in Allergy: Technical Characteristics, Limitations, and Pathways to Clinical Implementation-An EAACI Position Paper.Clinical and translational allergy · 2026Review
- Identification of EGR2 and TGFB1 as Potential Immunoregulatory Biomarkers for Allergic Rhinitis: An Exploratory Bioinformatics and Pilot Validation Study.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Identification of allergic rhinitis-related genes and mediating immune cells based on cis-eQTL: A Mendelian randomization study.Medicine · 2026Article
- Research progress on circRNAs in type 2 CRS.Frontiers in immunology · 2026Review
- Article
- Review
- SerpinB3/B4 Abates Epithelial Cell-Derived CXCL8/IL-8 Expression in Chronic Rhinosinusitis with Nasal Polyps.Journal of immunology research · 2024Article
- Identification and analysis of lipid metabolism-related genes in allergic rhinitis.Lipids in health and disease · 2023Article
- Mechanistic and Therapeutic Approaches to Occupational Exposure-Associated Allergic and Non-Allergic Asthmatic Disease.Current allergy and asthma reports · 2023Review
- A Response to Article "Selenium-Modified Chitosan Induces HepG2 Cell Apoptosis and Differential Protein Analysis" [Letter].Cancer management and research · 2023Article
- Gene Signatures and Associated Transcription Factors of Allergic Rhinitis:BioMed research international · 2023Article
- ARG1 as a promising biomarker for sepsis diagnosis and prognosis: evidence from WGCNA and PPI network.Hereditas · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAllergic rhinitis (AR) is an upper respiratory tract inflammation disease caused by IgE-mediated reactions against inhaled allergens. The incidence of AR is significantly increasing throughout the world. Hence, more specific, and sensitive gene biomarkers and understanding the underlying pathways are necessary to further explore the AR pathogenesis.
objectiveTo identify gene biomarkers in nasal mucosa and in blood from AR patients which could be used in AR diagnosis.
methodsThe gene expression profiles of GSE43523 from nasal epithelial cells and GSE75011 from Th2-enriched CD4+ T cells in blood were downloaded from the Gene Expression Omnibus database. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses and protein-protein interaction (PPI) network analysis were conducted to investigate the functional changes of genes. The receiver operating characteristic (ROC) curves were used to assess the diagnostic values of the hub genes. Real-time quantitative PCR (RT-qPCR) was performed to validate the hub genes.
resultsSignificant differentially enriched gene signatures in AR patients were identified in nasal epithelial cells (n-DEGs) and in blood (t-DEGs). Signatures associated with axoneme, extracellular matrix, collagen fibril organization, cell motility, calcium ion binding, and so on were more enriched in n-DEGs, whereas signatures associated with TNF signaling pathway, detoxification of inorganic compound, and cellular response to corticotropin-releasing hormone stimulus were enriched in t-DEGs. In addition, we identified 8 hub genes and 14 hub genes from n-DEGs and t-DEGs, respectively. The combination of POSTN in nasal mucosa and PENK and CDC25A in blood was constructed with a good AR predicting performance. The area under the curve (AUC) of the ROC curve of 3 hub genes' combination was 0.98 for AR diagnosis.
conclusionThis study utilized gene expression profiles and RT-qPCR validation on nasal mucosa and blood from AR patients to investigate the potential biomarkers for AR diagnosis.
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