Suppr超能文献

心源性栓塞性卒中中的微小核糖核酸差异表达

Differential MicroRibonucleic Acid Expression in Cardioembolic Stroke.

作者信息

Modak Janhavi M, Roy-O'Reilly Meaghan, Zhu Liang, Staff Ilene, McCullough Louise D

机构信息

Department of Neurology, Hartford Hospital, Hartford, Connecticut.

Department of Neurology, University of Texas Health Science Center, Houston, Texas.

出版信息

J Stroke Cerebrovasc Dis. 2019 Jan;28(1):121-124. doi: 10.1016/j.jstrokecerebrovasdis.2018.09.018. Epub 2018 Oct 11.

Abstract

BACKGROUND

MicroRNAs (miRNA) are a class of small, endogenous (17-25 nucleotide) noncoding ribonucleic acids implicated in the transcriptional and post-transcriptional regulation of gene expression. This study examines stroke-specific miRNA expression in large vessel territory cardioembolic stroke.

METHODS

Peripheral blood was collected from controls and ischemic stroke patients 24 hours after stroke onset. Whole blood miRNA was isolated and analyzed for differential expression. A total of 16 patients with acute middle cerebral artery territory strokes of cardioembolic origin were included in this pilot study. MiRNA profiling was conducted by miRCURY LNA™ microRNA Array.

RESULTS

In patients with cardioembolic stroke, significant differential expression of 14 miRNAs was observed when compared to controls. Ten of these miRNA had not previously been associated with ischemic stroke (miR-664a-3p, -2116-5pp, -4531, -4765-5p, -647, -4709-3p, -4742-3p, -5584-3p, -4756-3p, and -5187-3p). Subanalysis of severe strokes (NIHSS > 10) identified an additional 5 differentially expressed miRNA. No significant effects of sex or tissue plasminogen activator treatment were seen on miRNA expression.

CONCLUSIONS

Ischemic stroke patients show a differential miRNA expression profile as compared to controls. These new associations between circulating miRNAs and ischemic stroke may help to refine stroke subtype diagnosis and identify novel therapeutic miRNA targets for the treatment of ischemic stroke.

摘要

背景

微小RNA(miRNA)是一类小的内源性(17 - 25个核苷酸)非编码核糖核酸,参与基因表达的转录和转录后调控。本研究检测大动脉区域心源性栓塞性卒中特异性miRNA的表达。

方法

在卒中发作后24小时从对照组和缺血性卒中患者采集外周血。分离全血miRNA并分析其差异表达。本初步研究共纳入16例急性大脑中动脉区域心源性栓塞性卒中患者。通过miRCURY LNA™微小RNA阵列进行miRNA谱分析。

结果

与对照组相比,在心源性栓塞性卒中患者中观察到14种miRNA有显著差异表达。其中10种miRNA此前未与缺血性卒中相关联(miR - 664a - 3p、- 2116 - 5pp、- 4531、- 4765 - 5p、- 647、- 4709 - 3p、- 4742 - 3p、- 5584 - 3p、- 4756 - 3p和- 5187 - 3p)。对严重卒中(美国国立卫生研究院卒中量表评分>10)的亚分析又鉴定出5种差异表达的miRNA。未观察到性别或组织纤溶酶原激活剂治疗对miRNA表达有显著影响。

结论

与对照组相比,缺血性卒中患者表现出不同的miRNA表达谱。循环miRNA与缺血性卒中之间的这些新关联可能有助于完善卒中亚型诊断,并确定用于治疗缺血性卒中的新的治疗性miRNA靶点。

相似文献

1
Differential MicroRibonucleic Acid Expression in Cardioembolic Stroke.心源性栓塞性卒中中的微小核糖核酸差异表达
J Stroke Cerebrovasc Dis. 2019 Jan;28(1):121-124. doi: 10.1016/j.jstrokecerebrovasdis.2018.09.018. Epub 2018 Oct 11.
3
The Diagnostic Value of Serum miRNA-221-3p, miRNA-382-5p, and miRNA-4271 in Ischemic Stroke.血清miRNA-221-3p、miRNA-382-5p和miRNA-4271在缺血性卒中中的诊断价值
J Stroke Cerebrovasc Dis. 2017 May;26(5):1055-1060. doi: 10.1016/j.jstrokecerebrovasdis.2016.12.019. Epub 2017 Jan 19.
7
D-dimers predict stroke subtype when assessed early.D-二聚体在早期评估时可预测卒中亚型。
Cerebrovasc Dis. 2010;29(1):82-6. doi: 10.1159/000256652. Epub 2009 Nov 10.

引用本文的文献

1
Role of microRNA in the risk stratification of ischemic strokes.微小RNA在缺血性中风风险分层中的作用。
Front Neurol. 2025 Feb 12;16:1499493. doi: 10.3389/fneur.2025.1499493. eCollection 2025.

本文引用的文献

1
Peripheral biomarkers of stroke: Focus on circulatory microRNAs.中风的外周生物标志物:聚焦循环微小RNA。
Biochim Biophys Acta. 2016 Oct;1862(10):1984-93. doi: 10.1016/j.bbadis.2016.08.003. Epub 2016 Aug 5.
2
Bioinformatic Analysis of Potential microRNAs in Ischemic Stroke.缺血性中风中潜在微小RNA的生物信息学分析
J Stroke Cerebrovasc Dis. 2016 Jul;25(7):1753-1759. doi: 10.1016/j.jstrokecerebrovasdis.2016.03.023. Epub 2016 Apr 14.
5
Unique MicroRNA signatures associated with early coronary atherosclerotic plaques.与早期冠状动脉粥样硬化斑块相关的独特微小RNA特征。
Biochem Biophys Res Commun. 2015 Aug 21;464(2):574-9. doi: 10.1016/j.bbrc.2015.07.010. Epub 2015 Jul 6.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验