Whole genome expression of cellular response to stroke.
Whole genome expression of cellular response to stroke.
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DOI：
10.1161/strokeaha.112.679357
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发表时间：
2013-06
期刊：
影响因子：
8.3
通讯作者：
Jickling GC
中科院分区：
文献类型：
--
作者：
Sharp FR;Jickling GC
Jickling等人16于2013年6月发表的S24 Stroke评价了76例急性缺血性卒中患者的194份样本。从血液中分离RNA，并在Affytron微阵列上运行。在中风后3、5和24小时确定区分大血管和心源性栓塞性中风的基因。40个基因谱区分心源性栓塞性卒中和大血管卒中，敏感性和特异性> 95%。一个单独的37个基因谱以> 90%的灵敏度和特异性区分心房颤动引起的心源性栓塞性卒中和非心房颤动原因。16最后，我们最近的研究显示了腔隙性卒中与大血管和心源性栓塞性缺血性卒中相比的特定特征。[17]在研究了心源性栓塞、大血管和腔隙性脑卒中的病因后，我们将其应用于隐源性脑卒中。从131例隐源性中风患者的外周血中分离RNA，并与149例已知原因中风患者的RNA谱进行比较。每个样品都在Affyssin微阵列上运行。隐源性卒中的病因可通过血液中的基因表达和梗死部位来预测。隐源性中风预测为58%
S24 Stroke June 2013 by Jickling et al16 evaluated 194 samples from 76 patients with acute ischemic stroke. RNA was isolated from blood and run on Affymetrix microarrays. Genes that distinguished large vessel from cardioembolic stroke were determined at 3, 5, and 24 hours after stroke. A 40-gene profile differentiated cardioembolic stroke from large vessel stroke with> 95% sensitivity and specificity. A separate 37-gene profile distinguished cardioembolic stroke attributable to atrial fibrillation from nonatrial fibrillation causes with> 90% sensitivity and specificity. 16 Finally, our most recent study shows specific profiles for lacunar stroke compared with large vessel and cardioembolic ischemic strokes. 17Having developed cardioembolic, large vessel, and lacunar profiles for cause of stroke, we applied them to cryptogenic stroke. 18 RNA was isolated from peripheral blood of 131 cryptogenic strokes and compared with profiles derived from 149 strokes of known cause. Each sample was run on Affymetrix microarrays. Cause of cryptogenic stroke was predicted using gene expression in blood and infarct location. Cryptogenic strokes were predicted to be 58%