靶向蛋白质组学分析确定ACVRL1是动脉瘤性蛛网膜下腔出血脑水肿的标志物。

IF 4.5
Bosco Seong Kyu Yang, Lena O'Keefe, Sarah Hinds, Hua Chen, Athziry Paz, Jude Savarraj, Han-Gil Jeong, Moon-Ku Han, Aaron Gusdon, Xuefang Sophie Ren, Spiros Blackburn, Huimahn Alex Choi
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摘要

脑水肿(CE)是动脉瘤性蛛网膜下腔出血(SAH)早期脑损伤的主要组成部分。尽管基于血液的蛋白质标记物具有实用性,但针对脑水肿的生物标记物尚未开发。我们进行了一项靶向蛋白质组学研究,分析了80名成年动脉瘤破裂后48小时内血浆样本中的141种蛋白质,以确定脑水肿的血浆生物标志物。分析蛋白质表达谱与入院计算机断层扫描中测量的蛛网膜下腔出血早期脑水肿评分较高水平的相关性。鉴定出5种差异表达蛋白:broin、ectodysplasin A2受体、layilin、清扫者受体A类成员5和激活素A受体样1型(activin A receptor like type 1, ACVRL1)。为了证实我们的发现,在75名SAH成年患者的单独队列中,使用不同的验证性分析方法-酶联免疫吸附法分析这些候选生物标志物,该方法基于动脉瘤破裂后48小时内收集的血浆样本。随着水肿严重程度的增加,ACVRL1表达水平持续下降。在调整患者因素前后,CE和ACVRL1之间的相关性显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Targeted proteomic analysis identifies ACVRL1 as a marker of cerebral edema in aneurysmal subarachnoid hemorrhage.

Cerebral edema (CE) is a major component of early brain injury from aneurysmal subarachnoid hemorrhage (SAH). Despite the utility of blood-based protein markers, biomarkers targeting cerebral edema have yet to be developed. We performed a targeted proteomic search analyzing 141 proteins in plasma samples taken from 80 adult patients within 48 hours after aneurysmal rupture to identify plasma biomarkers of cerebral edema. The protein expression profiles were analyzed for associations with a higher level of the subarachnoid hemorrhage early brain edema score measured in admission computed tomography scans. Five differentially expressed proteins-brorin, ectodysplasin A2 receptor, layilin, scavenger receptor class A member 5, and activin A receptor like type 1 (ACVRL1)-were identified. To confirm our findings, in a separate cohort of 75 adult patients with SAH, these biomarker candidates was analyzed using a different confirmatory analytic method-enzyme-linked immunosorbent assay-based on the plasma samples collected within 48 hours after aneurysmal rupture. ACVRL1 levels consistently showed a decrease expression levels as the severity of edema increased. The association between CE and ACVRL1 was significant before and after adjusting for patient factors.

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