Correlation of microRNA profiles with disease risk and severity of allergic rhinitis.

To explore the correlation of microRNA (miRNA) profiles with disease risk and severity in patients with allergic rhinitis (AR). miRNA expression profiles in nasal mucosa samples from 8 AR patients and 8 matched non-atopic controls were detected by microarray. Twelve differentially expressed miRNAs (DEMs) in microarray analysis were further validated in nasal mucosa samples from 48 AR patients and 50 controls by qPCR assay. Individual nasal symptom score (INSS) and total nasal symptom score (TNSS) were used to evaluated the disease severity of AR. AR patients could be distinguished from controls according to the principal component analysis (PCA) plot analysis in the microarray, and 27 down-regulated and 51 up-regulated DEMs were identified by volcano plot. qPCR validation disclosed that miR-126-5p, miR-19a-5p and miR-26a-5p expression was up-regulated in AR patients compared with controls. Multivariate logistic regression displayed that miR-126-5p, miR-19a-5p and miR-26a-5p are independent predictive factors for AR risk, and receiver operating characteristic (ROC) analysis exhibited that the combination of miR-126-5p, miR-19a-5p and miR-26a-5p predicts the risk of AR with a high area under curve (AUC) of 0.866 (95% CI: 0.797-0.936). In addition, expression of miR-126-5p, miR-19a-5p and miR-181c-3p were positively correlated with TNSS. Therefore, miRNA profiles distinguish AR patients from controls and the combination of miR-126-5p, miR-19a-5p and miR-26a-5p could serve as novel biomarker for AR risk.