Profiling the lncRNA-miRNA-mRNA interaction network in diabetes submandibular gland

Dysfunction of salivary glands is one of the common symptoms of diabetes. Although the long non-coding RNA has recently been identified to play a role in the pathogenesis of diabetes, it is still unclear about the role of lncRNA in diabetes salivary glands. This work was aimed to explore the lncRNA-miRNA-mRNA expression profiles and functional network in diabetes submandibular gland LncRNA and mRNA expressional profiles were analyzed by microarray technology from the SMG of db/db mice and db/m mice (n=4). Differentially expressed (DE) lncRNAs were confirmed by qRT-PCR. We constructed a CNC and ceRNA network to reveal the core genes in hyposalivation. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to explicit the biological functions.

唾液腺功能障碍是糖尿病的常见症状之一。尽管长链非编码RNA（long non-coding RNA）近年已被证实参与糖尿病的发病机制，但长链非编码RNA（lncRNA）在糖尿病相关唾液腺中的作用仍不明确。本研究旨在探究糖尿病下颌下腺中的lncRNA-微小RNA（microRNA，miRNA）-信使RNA（messenger RNA，mRNA）表达谱及其功能调控网络。我们通过微阵列技术，对db/db小鼠与db/m小鼠（每组n=4）的下颌下腺（submandibular gland，SMG）样本进行lncRNA与mRNA表达谱分析；通过实时定量聚合酶链反应（qRT-PCR）验证了差异表达（differentially expressed，DE）的lncRNA。本研究构建了CNC网络与内源竞争RNA（competing endogenous RNA，ceRNA）网络，以揭示唾液分泌减少相关的核心基因；同时通过基因本体论（Gene Ontology，GO）与京都基因与基因组百科全书（Kyoto Encyclopedia of Genes and Genomes，KEGG）通路分析，阐明其生物学功能。