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Identification of gene biomarkers with expression profiles in patients with allergic rhinitis

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机构: [1]Capital Med Univ, Beijing TongRen Hosp, Dept Otolaryngol Head & Neck Surg, Beijing 100730, Peoples R China [2]Capital Med Univ, Beijing TongRen Hosp, Dept Allergy, Beijing 100730, Peoples R China [3]Beijing Inst Otolaryngol, Beijing Lab Allerg Dis, Beijing 100005, Peoples R China [4]Beijing Inst Otolaryngol, Beijing Key Lab Nasal Dis, Beijing 100005, Peoples R China [5]Chinese Acad Med Sci, Res Unit Diag & Treatment Chron Nasal Dis, Beijing 100005, Peoples R China
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关键词: Allergic rhinitis Differentially expressed genes Bioinformatic analysis Biomarkers Diagnosis

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Background Allergic 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. Objective To identify gene biomarkers in nasal mucosa and in blood from AR patients which could be used in AR diagnosis. Methods The 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. Results Significant 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. Conclusion This 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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出版当年[2021]版:
大类 | 4 区 医学
小类 | 4 区 过敏 4 区 免疫学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 过敏 4 区 免疫学
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出版当年[2020]版:
Q3 IMMUNOLOGY Q3 ALLERGY
最新[2023]版:
Q2 ALLERGY Q3 IMMUNOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

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第一作者机构: [1]Capital Med Univ, Beijing TongRen Hosp, Dept Otolaryngol Head & Neck Surg, Beijing 100730, Peoples R China [2]Capital Med Univ, Beijing TongRen Hosp, Dept Allergy, Beijing 100730, Peoples R China
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通讯机构: [1]Capital Med Univ, Beijing TongRen Hosp, Dept Otolaryngol Head & Neck Surg, Beijing 100730, Peoples R China [2]Capital Med Univ, Beijing TongRen Hosp, Dept Allergy, Beijing 100730, Peoples R China [3]Beijing Inst Otolaryngol, Beijing Lab Allerg Dis, Beijing 100005, Peoples R China [4]Beijing Inst Otolaryngol, Beijing Key Lab Nasal Dis, Beijing 100005, Peoples R China [5]Chinese Acad Med Sci, Res Unit Diag & Treatment Chron Nasal Dis, Beijing 100005, Peoples R China
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