Yanyan Yang1, Yu Zhang1, Yujuan Yang1, Jing Guo1, Liping Yang1, Chenglin Li2, Xicheng Song1. 1. Department of Otolaryngology, Head and Neck Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China. 2. Center for Clinical Medicine Innovation, Shenzhen Hospital of Southern Medical University, Shenzhen, China.
Abstract
BACKGROUND: The mechanism of long noncoding RNAs (lncRNAs) involved in the development of allergic rhinitis (AR) remains unclear. OBJECTIVE: We investigated the mechanism by which differentially expressed lncRNAs contribute to pathogenesis of AR. METHODS: Expression profiles of lncRNAs and mRNAs were analyzed by microarray detection from the blood samples of 3 AR patients and 3 control subjects, and the main lncRNAs were verified by quantitative real-time polymerase chain reaction (qRT-PCR) in the peripheral blood of 16 AR patients and 18 control subjects. GO (Gene_Ontology), Pathway, and Disease analysis of differentially expressed lncRNAs and mRNAs, and transcription factor prediction analysis were performed to explore synergistic effect of differentially expressed lncRNAs and their function-related mRNAs on AR pathogenesis. RESULTS: Thirty-one lncRNAs were differentially expressed in the peripheral blood from AR patients, and 4 of the 5 most differentially expressed lncRNAs had significantly higher levels in AR patients than in control subjects by qRT-PCR analysis. A lncRNA-mRNA coexpression network analysis identified 16 pairs of positive correlations between the 4 lncRNAs and coexpressed mRNAs. GO, Pathway, and Disease analyses indicated that the 4 lncRNAs were correlated with 7 mRNAs enriched in terms of inflammation, immune response, and allergic diseases. Transcription factor prediction results suggested that Oct-1, AP-1, NF-kappaB, and c-Rel play key roles in the pathogenesis of AR mediated by lncRNAs. CONCLUSION: Our results provide new insights into how lncRNAs and their function-related mRNAs might contribute to AR.
BACKGROUND: The mechanism of long noncoding RNAs (lncRNAs) involved in the development of allergic rhinitis (AR) remains unclear. OBJECTIVE: We investigated the mechanism by which differentially expressed lncRNAs contribute to pathogenesis of AR. METHODS: Expression profiles of lncRNAs and mRNAs were analyzed by microarray detection from the blood samples of 3 AR patients and 3 control subjects, and the main lncRNAs were verified by quantitative real-time polymerase chain reaction (qRT-PCR) in the peripheral blood of 16 AR patients and 18 control subjects. GO (Gene_Ontology), Pathway, and Disease analysis of differentially expressed lncRNAs and mRNAs, and transcription factor prediction analysis were performed to explore synergistic effect of differentially expressed lncRNAs and their function-related mRNAs on AR pathogenesis. RESULTS: Thirty-one lncRNAs were differentially expressed in the peripheral blood from AR patients, and 4 of the 5 most differentially expressed lncRNAs had significantly higher levels in AR patients than in control subjects by qRT-PCR analysis. A lncRNA-mRNA coexpression network analysis identified 16 pairs of positive correlations between the 4 lncRNAs and coexpressed mRNAs. GO, Pathway, and Disease analyses indicated that the 4 lncRNAs were correlated with 7 mRNAs enriched in terms of inflammation, immune response, and allergic diseases. Transcription factor prediction results suggested that Oct-1, AP-1, NF-kappaB, and c-Rel play key roles in the pathogenesis of AR mediated by lncRNAs. CONCLUSION: Our results provide new insights into how lncRNAs and their function-related mRNAs might contribute to AR.