A Highly Predictive MicroRNA Panel for Determining Delayed Cerebral Vasospasm Risk Following Aneurysmal Subarachnoid Hemorrhage.
A Highly Predictive MicroRNA Panel for Determining Delayed Cerebral Vasospasm Risk Following Aneurysmal Subarachnoid Hemorrhage.
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DOI：
10.3389/fmolb.2021.657258
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发表时间：
2021
影响因子：
5
通讯作者：
Hatton KW
中科院分区：
文献类型：
--
作者：
Wang WX;Springer JE;Xie K;Fardo DW;Hatton KW
大约三分之一的动脉瘤性蛛网膜下腔出血（aSAH）患者在动脉瘤破裂后3-10天发生迟发性脑血管痉挛（DCV），导致额外的永久性神经功能障碍。目前，没有经过验证的生物标志物可用于确定aSAH患者中DCV的风险。微小RNA（miRNAs）已经涉及几乎所有人类疾病，包括aSAH，并且在细胞外生物流体（包括血浆和脑脊液（CSF））中发现。我们使用定制设计的TaqMan低密度阵列miRNA面板来检查从aSAH后3天和7天的31名患有或不患有DCV的患者以及从8名健康对照中收集的CSF和血浆样本中的47种选定的脑和血管损伤相关miRNA的水平。第一个18名患者队列的分析揭示了患有DCV的aSAH患者的CSF和血浆中所选miRNA与不患有DCV的aSAH患者的CSF和血浆中所选miRNA的显著差异表达模式。重要的是，在DCV事件发生之前的早期时间点（aSAH后3天）观察到这种差异表达。7种miRNAs被鉴定为可靠的DCV风险预测因子，沿着的预测模型是基于该组上另外19种miRNAs的阵列构建的。然后，这些选择的miRNAs用于预测15名患者的单独测试队列中DCV的风险。DCV风险预测的准确性在测试队列中达到87%。该研究表明，我们新设计的miRNA组是DCV风险的有效预测因子，并且在aSAH患者的临床管理中具有很强的应用。
Approximately one-third of aneurysmal subarachnoid hemorrhage (aSAH) patients develop delayed cerebral vasospasm (DCV) 3–10 days after aneurysm rupture resulting in additional, permanent neurologic disability. Currently, no validated biomarker is available to determine the risk of DCV in aSAH patients. MicroRNAs (miRNAs) have been implicated in virtually all human diseases, including aSAH, and are found in extracellular biofluids including plasma and cerebrospinal fluid (CSF). We used a custom designed TaqMan Low Density Array miRNA panel to examine the levels of 47 selected brain and vasculature injury related miRNAs in CSF and plasma specimens collected from 31 patients with or without DCV at 3 and 7 days after aSAH, as well as from eight healthy controls. The analysis of the first 18-patient cohort revealed a striking differential expression pattern of the selected miRNAs in CSF and plasma of aSAH patients with DCV from those without DCV. Importantly, this differential expression was observed at the early time point (3 days after aSAH), before DCV event occurs. Seven miRNAs were identified as reliable DCV risk predictors along with a prediction model constructed based on an array of additional 19 miRNAs on the panel. These chosen miRNAs were then used to predict the risk of DCV in a separate, testing cohort of 15 patients. The accuracy of DCV risk prediction in the testing cohort reached 87%. The study demonstrates that our novel designed miRNA panel is an effective predictor of DCV risk and has strong applications in clinical management of aSAH patients.
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影响因子：
2
作者：
Eisenhut M
通讯作者：
Eisenhut M
影响因子：
4.8
作者：
Brami, Jonathan;Chousterman, Benjamin;Labeyrie, Marc-Antoine
通讯作者：
Labeyrie, Marc-Antoine
影响因子：
11
作者：
de Rooij, N. K.;Linn, F. H. H.;Rinkel, G. J. E.
通讯作者：
Rinkel, G. J. E.
影响因子：
4.4
作者：
Hill, James M.;Lukiw, Walter J.
通讯作者：
Lukiw, Walter J.
人类颅内动脉瘤的全基因组 microRNA 变化。
影响因子：
2.6
作者：
Liu D;Han L;Wu X;Yang X;Zhang Q;Jiang F
通讯作者：
Jiang F