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循环 miR-323-3p 是心肌病的生物标志物,也是弗里德里希共济失调患者表型变异性的指标。

Circulating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich's ataxia patients.

机构信息

Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain.

Instituto de Investigación Sanitaria INCLIVA, Mixt Unit for rare diseases INCLIVA-CIPF, Avenida de Menéndez y Pelayo, 4, 46010, Valencia, Spain.

出版信息

Sci Rep. 2017 Jul 12;7(1):5237. doi: 10.1038/s41598-017-04996-9.

Abstract

MicroRNAs (miRNAs) are noncoding RNAs that contribute to gene expression modulation by regulating important cellular pathways. In this study, we used small RNA sequencing to identify a series of circulating miRNAs in blood samples taken from Friedreich's ataxia patients. We were thus able to develop a miRNA biomarker signature to differentiate Friedreich's ataxia (FRDA) patients from healthy people. Most research on FDRA has focused on understanding the role of frataxin in the mitochondria, and a whole molecular view of pathological pathways underlying FRDA therefore remains to be elucidated. We found seven differentially expressed miRNAs, and we propose that these miRNAs represent key mechanisms in the modulation of several signalling pathways that regulate the physiopathology of FRDA. If this is the case, miRNAs can be used to characterize phenotypic variation in FRDA and stratify patients' risk of cardiomyopathy. In this study, we identify miR-323-3p as a candidate marker for phenotypic differentiation in FRDA patients suffering from cardiomyopathy. We propose the use of dynamic miRNAs as biomarkers for phenotypic characterization and prognosis of FRDA.

摘要

微小 RNA(miRNAs)是一类非编码 RNA,通过调控重要的细胞通路来调节基因表达。在这项研究中,我们使用小 RNA 测序技术在弗里德里希共济失调症(FRDA)患者的血液样本中鉴定了一系列循环 miRNAs。我们成功开发了 miRNA 生物标志物特征谱,能够将 FRDA 患者与健康人区分开来。大多数关于 FDRA 的研究都集中在理解 frataxin 在线粒体中的作用,因此,FRDA 潜在病理途径的整体分子视图仍有待阐明。我们发现了七个差异表达的 miRNAs,我们提出这些 miRNAs 代表了调节 FRDA 生理病理的几个信号通路的关键调控机制。如果是这样,miRNAs 可以用于表征 FRDA 的表型变异,并对患者的心肌病风险进行分层。在这项研究中,我们确定 miR-323-3p 是 FRDA 合并心肌病患者表型分化的候选标志物。我们建议使用动态 miRNAs 作为 FRDA 表型特征和预后的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c53/5507909/b0213c8a0262/41598_2017_4996_Fig1_HTML.jpg

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