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慢性心力衰竭中的系统生物学——潜在miRNA调节因子的鉴定

Systems Biology in Chronic Heart Failure-Identification of Potential miRNA Regulators.

作者信息

Vilella-Figuerola Alba, Gallinat Alex, Escate Rafael, Mirabet Sònia, Padró Teresa, Badimon Lina

机构信息

Cardiovascular-Program-ICCC, IR-Hospital Santa Creu i Sant Pau, IIB-Sant Pau, 08025 Barcelona, Spain.

Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), 08193 Cerdanyola del Vallès, Spain.

出版信息

Int J Mol Sci. 2022 Dec 3;23(23):15226. doi: 10.3390/ijms232315226.

Abstract

Heart failure (HF) is a complex disease entity with high clinical impact, poorly understood pathophysiology and scantly known miRNA-mediated epigenetic regulation. We have analysed miRNA patterns in patients with chronic HF (cHF) and a sex- and age-matched reference group and pursued an in silico system biology analysis to discern pathways involved in cHF pathophysiology. Twenty-eight miRNAs were identified in cHF that were up-regulated in the reference group, and eight of them were validated by RT-qPCR. In silico analysis of predicted targets by STRING protein-protein interaction networks revealed eight cluster networks (involving seven of the identified miRNAs) enriched in pathways related to cell cycle, Ras, chemokine, PI3K-AKT and TGF-β signaling. By ROC curve analysis, combined probabilities of these seven miRNAs (, , , , , and ; clusters 1-4 [C:1-4]), discriminated between HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF), and ischaemic and non-ischaemic aetiology. A combination of , and , involved in clusters 5 and 7 (C:5+7), discriminated HFpEF from HFrEF. Pathway enrichment analysis of miRNAs present in C:1-4 (, , and ) revealed pathways related to HF pathogenesis. In conclusion, we have identified a differential signature of down-regulated miRNAs in the plasma of HF patients and propose novel cellular mechanisms involved in cHF pathogenesis.

摘要

心力衰竭(HF)是一种具有高临床影响的复杂疾病实体,其病理生理学知之甚少,且miRNA介导的表观遗传调控也鲜为人知。我们分析了慢性心力衰竭(cHF)患者以及性别和年龄匹配的参照组中的miRNA模式,并进行了计算机系统生物学分析,以识别参与cHF病理生理学的通路。在cHF中鉴定出28种miRNA在参照组中上调,其中8种通过RT-qPCR得到验证。通过STRING蛋白质-蛋白质相互作用网络对预测靶点进行的计算机分析揭示了8个聚类网络(涉及7种已鉴定的miRNA),这些网络在与细胞周期、Ras、趋化因子、PI3K-AKT和TGF-β信号传导相关的通路中富集。通过ROC曲线分析,这7种miRNA(,,,,,和;聚类1-4 [C:1-4])的联合概率可区分射血分数保留的心力衰竭(HFpEF)和射血分数降低的心力衰竭(HFrEF),以及缺血性和非缺血性病因。参与聚类5和7(C:5+7)的、和的组合可区分HFpEF和HFrEF。对C:1-4中存在的miRNA(,,和)进行的通路富集分析揭示了与HF发病机制相关的通路。总之,我们在HF患者血浆中鉴定出下调的miRNA的差异特征,并提出了参与cHF发病机制的新细胞机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edeb/9740605/fdf5dd2307ea/ijms-23-15226-g001.jpg

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