Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China.
Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Science, Fudan University, Shanghai, China.
Biosci Rep. 2018 Aug 29;38(4). doi: 10.1042/BSR20180525. Print 2018 Aug 31.
Few studies have compared the performances of those reported miRNAs as biomarkers for hypertension in a same cohort, we aimed to comprehensively examine the performances of those reported miRNAs as biomarkers for hypertension and identify the genes and pathways targetted by these miRNAs. Serum samples were collected from patients hospitalized for hypertension in Zhongshan Hospital. Gene expressions of 25 miRNAs were compared between hypertension and normal groups. Receiver operating characteristic (ROC) curves were used to evaluate the accuracy of those miRNAs as biomarkers for hypertension. miRWALK2.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed to predict the target genes and pathways of selected miRNAs. A total of 164 participants were enrolled, amongst which 53 were patients with hypertension, 111 were normal population. (area under curve (AUC): 0.750), (AUC: 0.744), (AUC: 0.743), (AUC: 0.740), and (AUC: 0.718) showed better performance than others, and the best performance was the combination of , and (AUC: 0.80). Pathway analysis revealed that 94 pathways enriched with genes targetted by FoxO signaling was enriched with genes targetted by all the three miRNAs (). The combination of , and has a good diagnostic performance for hypertension, and multitudes of possible mechanisms/pathways through which dysregulation of these miRNAs may impact risk of hypertension.
很少有研究在同一队列中比较这些报道的 miRNA 作为高血压生物标志物的性能,我们旨在全面研究这些报道的 miRNA 作为高血压生物标志物的性能,并确定这些 miRNA 靶向的基因和途径。采集中山医院高血压住院患者的血清样本。比较高血压组和正常组之间 25 个 miRNA 的基因表达。使用受试者工作特征 (ROC) 曲线评估这些 miRNA 作为高血压生物标志物的准确性。使用 miRWALK2.0 和京都基因与基因组百科全书 (KEGG) 富集分析预测选定 miRNA 的靶基因和途径。共纳入 164 名参与者,其中 53 名高血压患者,111 名正常人群。(曲线下面积 (AUC): 0.750), (AUC: 0.744), (AUC: 0.743), (AUC: 0.740)和 (AUC: 0.718) 表现优于其他,最佳表现是 、 和 的组合 (AUC: 0.80)。通路分析显示,有 94 条途径富含这三个 miRNA 靶向的基因 (FoxO 信号通路)。 、 和 的组合对高血压具有良好的诊断性能,这些 miRNA 失调可能通过多种可能的机制/途径影响高血压的风险。