a Department of Cardiology , Beijing Chao-yang Hospital, Capital Medical University , Beijing , China.
b Hypertension Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases , Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing , China.
Clin Exp Hypertens. 2017;39(5):454-459. doi: 10.1080/10641963.2016.1273944. Epub 2017 May 23.
CircRNAs, a novel class of noncoding RNAs, have been reported in many diseases. However, their role in hypertension remains unclear. Here, we aimed to determine the circRNA expression profile in hypertension patients and further construct a circRNA-miRNA-mRNA network for mechanism exploration.
Plasma circRNA expression profiles were screened by circRNA microarrays and verified by qRT-PCR method. CircRNA-miRNA-mRNA network was established to predict the circRNA targets. Gene ontology (GO) analysis and KEGG pathway analysis were applied for further enrichment of mRNA data.
CircRNA microarrays study identified 13 downregulated and 46 upregulated circRNAs in hypertension patients, where four circRNAs (hsa-circ-0000437, hsa-circ-0008139, hsa-circ-0005870 and hsa-circ-0040809) showed significantly difference. By further validation, hsa-circ-0005870 exhibited significant downregulation in hypertensive patients. Then, we constructed a network of hsa-circ-0005870-targeted miRNAs, including hsa-miR-6807-3p, hsa-miR-5095, hsa-miR-1273g-3p, hsa-miR-5096, hsa-miR-619-5p, and their corresponding mRNAs. Gene oncology and KEGG pathway analysis enriched from specific mRNAs indicated the involvement of hsa-circ-0005870 in hypertension.
In summary, hsa-circ-0005870 may represent a novel biomarker for the diagnosis of hypertension, and hsa-circ-0005870-miRNA-mRNA network may provide potential mechanism for hypertension.
circRNAs 是一类新型的非编码 RNA，已在许多疾病中报道。然而，它们在高血压中的作用尚不清楚。本研究旨在确定高血压患者中 circRNA 的表达谱，并进一步构建 circRNA-miRNA-mRNA 网络以探索机制。
通过 circRNA 微阵列筛选血浆 circRNA 表达谱，并通过 qRT-PCR 方法进行验证。构建 circRNA-miRNA-mRNA 网络预测 circRNA 靶标。应用基因本体论 (GO) 分析和 KEGG 通路分析对 mRNA 数据进行进一步富集。
circRNA 微阵列研究鉴定了高血压患者中 13 个下调和 46 个上调的 circRNA，其中 4 个 circRNA（hsa-circ-0000437、hsa-circ-0008139、hsa-circ-0005870 和 hsa-circ-0040809）差异显著。通过进一步验证，hsa-circ-0005870 在高血压患者中表现出显著下调。然后，我们构建了 hsa-circ-0005870 靶向 miRNA 的网络，包括 hsa-miR-6807-3p、hsa-miR-5095、hsa-miR-1273g-3p、hsa-miR-5096、hsa-miR-619-5p 及其相应的 mRNAs。特定 mRNAs 的基因肿瘤学和 KEGG 通路分析表明 hsa-circ-0005870 参与了高血压的发生。
总之，hsa-circ-0005870 可能代表高血压诊断的新型生物标志物，hsa-circ-0005870-miRNA-mRNA 网络可能为高血压提供潜在的机制。
