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循环 microRNAs 作为脑出血后血肿扩大的潜在风险生物标志物。

Circulating MicroRNAs as potential risk biomarkers for hematoma enlargement after intracerebral hemorrhage.

机构信息

Department of Neurology, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China.

出版信息

CNS Neurosci Ther. 2012 Dec;18(12):1003-11. doi: 10.1111/cns.12019.

Abstract

BACKGROUND AND PURPOSE

MicroRNAs have recently been shown to regulate the downstream bioprocesses of intracerebral hemorrhage. The aim of this study was to investigate whether miRNAs can be used as biomarkers to predict secondary hematoma enlargement (HE) in patients with ICH.

METHODS

Consecutively, 79 ICH patients admitted within 6 h of symptom onset and 30 healthy individuals were enrolled in this study. Whole-genome miRNA expression profiles were generated in 32 patients (HE/non-HE: 14/18). Representative differentially expressed miRNAs were measured in all cases (HE/non-HE: 30/49) and normal controls (n = 30) by real-time PCR.

RESULTS

Thirty miRNAs showed differential expressions in the plasma samples from patients with HE as compared with the non-HE controls. Compared to the hierarchical cluster analysis with all probes on microarray, all patients were separated into two main branches with only four exceptions by 30 differentially expressed miRNAs, improving the overall accuracy from 47.62 to 77.78% in the HE and 72.73 to 100% in the non-HE group. Further support vector machine (SVM) test can discriminate the two groups with 100% accuracy with 10 differentially expressed miRNAs.

CONCLUSIONS

We demonstrated that multiple miRNAs are differentially expressed in the plasma of ICH patients with or without HE and may serve as circulating biomarkers for predicting HE after ICH.

摘要

背景与目的

最近的研究表明 microRNAs 可以调节脑出血的下游生物过程。本研究旨在探讨 microRNAs 是否可以作为生物标志物预测脑出血患者的继发性血肿扩大 (HE)。

方法

本研究连续纳入了 79 例发病 6 小时内的脑出血患者和 30 名健康对照者。在 32 例患者(HE/非 HE:14/18)中生成了全基因组 microRNA 表达谱。通过实时 PCR 测量了所有病例(HE/非 HE:30/49)和正常对照组(n=30)中 30 个代表性差异表达的 microRNA。

结果

与非 HE 对照组相比,30 个 microRNA 在 HE 患者的血浆样本中表现出差异表达。与微阵列上所有探针的层次聚类分析相比,仅用 30 个差异表达的 microRNA 将所有患者分为两个主要分支,仅 4 例外,HE 组的总体准确率从 47.62%提高到 77.78%,非 HE 组从 72.73%提高到 100%。进一步的支持向量机(SVM)测试可以用 10 个差异表达的 microRNA以 100%的准确率区分两组。

结论

我们证明了在有或没有 HE 的脑出血患者的血浆中存在多个 microRNAs 表达差异,它们可能作为预测脑出血后 HE 的循环生物标志物。

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