Liggins Institute, The University of Auckland, 85 Park Road, Grafton, Private Bag 92019, Auckland, 1142, New Zealand.
The Riddet Institute, Massey University, Palmerston North, New Zealand.
Acta Diabetol. 2020 Feb;57(2):203-214. doi: 10.1007/s00592-019-01406-6. Epub 2019 Aug 21.
Circulatory microRNAs (c-miRNAs) exert important roles in the molecular dysregulation of cardio-metabolic diseases. However, little is known whether dysregulated miRNA expression occurs when risk factors are elevated, as in the metabolic syndrome (MetS). This study quantified c-miRNA expression in individuals with MetS compared to healthy, further examining the relationship of gene pathways with the underlying pathogenesis.
Expression of 26 miRNAs was quantified in plasma from 40 women (20 healthy and 20 MetS) and 39 men (20 healthy and 19 MetS) by qPCR. In silico analysis was performed to investigate biological effects of the dysregulated miRNAs. Dysregulated miRNA expression was further validated in an independent cohort of 20 women (10 healthy and 10 MetS).
Regression model adjusted for age and sex identified miR-15a-5p, miR-17-5p, miR-370-3p and miR-375 as important predictors of MetS presence. Analysis of predictive miRNAs in the validation cohort strengthened the relationship with miR-15a-5p and miR-17-5p expression. These miRNAs share genes involved in the regulation of metabolic pathways including insulin, wnt, fatty acid metabolism and AMPK.
miR-15a-5p and miR-17-5p were identified as predictive biomarkers of MetS, irrespective of sexes, further demonstrating the relationship of c-miRNAs to known pathways of metabolic disturbances present in cardio-metabolic diseases.
循环 microRNA(c-miRNA)在心脏代谢疾病的分子失调中发挥重要作用。然而,当危险因素升高时,例如在代谢综合征(MetS)中,miRNA 表达是否失调知之甚少。本研究比较了 MetS 个体与健康个体的血浆中 c-miRNA 的表达情况,进一步研究了基因通路与潜在发病机制的关系。
通过 qPCR 定量了来自 40 名女性(20 名健康和 20 名 MetS)和 39 名男性(20 名健康和 19 名 MetS)血浆中 26 种 miRNA 的表达。通过计算机分析研究了失调 miRNA 的生物学效应。在一个独立的 20 名女性队列(10 名健康和 10 名 MetS)中进一步验证了失调 miRNA 的表达。
回归模型调整年龄和性别后,鉴定出 miR-15a-5p、miR-17-5p、miR-370-3p 和 miR-375 是 MetS 存在的重要预测因子。在验证队列中对预测 miRNA 的分析进一步加强了 miR-15a-5p 和 miR-17-5p 表达的关系。这些 miRNA 共享参与代谢途径调节的基因,包括胰岛素、wnt、脂肪酸代谢和 AMPK。
miR-15a-5p 和 miR-17-5p 被鉴定为 MetS 的预测生物标志物,与性别无关,进一步证明了 c-miRNA 与心脏代谢疾病中存在的代谢紊乱的已知途径的关系。