脑卒中生物标志物:它们能帮助我们指导脑卒中溶栓吗?

Joan Montaner
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引用次数: 0

摘要

血液生物标志物的使用在脑血管疾病领域越来越受欢迎,因为生物标志物可以帮助医生在中风评估的几个步骤。我们将讨论是否可能使用一些特定的脑生物标志物来诊断中风,以及这种方法是否允许将中风患者快速转诊到有组织纤溶酶原激活剂(t-PA)等急性治疗的医院。尽管溶栓治疗在急性中风中是有效的,因为它加速了凝块的溶解和早期血流的恢复,但高达40-50%的治疗患者没有重新通管或进行得太晚,6% - 15%的患者出现出血转化,死亡率很高。在神经血管单元中,t-PA可能降低细胞外基质的完整性,增加神经血管细胞死亡、血脑屏障渗漏、水肿和出血的风险。在人类中,生物标志物,如基质金属蛋白酶-9 (MMP-9)或纤维连接蛋白,可用于选择出血转化风险较高的患者,以及高纤溶酶原激活物抑制剂-1 (PAI-1)干扰tpa诱导的再通,从而预测溶血抵抗和不良预后,最近已被确定。此外,高水平的MMP-9和MMP-13参与了DWI病变的生长,尽管进行了溶栓治疗,这表明其在脑损伤中的超早期作用。其他生物标志物如c反应蛋白可以准确预测再灌注治疗后的卒中死亡率。最后,我们还将表明中风患者的遗传背景可能会影响这些生物标志物的血浆水平,并影响t- pa治疗患者的治疗反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stroke biomarkers: can they help us to guide stroke thrombolysis?

The use of blood biomarkers is getting increasingly popular in the field of cerebrovascular diseases, since biomarkers might aid physicians in several steps of stroke evaluation. We will discuss whether stroke diagnosis might be possible using some specific brain biomarkers and if this approach will permit rapid referral of stroke patients to hospitals with acute treatments such as tissue plasminogen activator (t-PA) available. Although thrombolytic therapy in acute stroke is effective since it accelerates clot lyses and earlier restoration of blood flow, up to 40-50% of treated patients do not recanalize or do it too late, and between 6 and 15% suffer hemorrhagic transformations with high death rates. In the context of the neurovascular unit, t-PA may degrade extracellular matrix integrity and increase risks of neurovascular cell death, blood-brain barrier leakage, edema and hemorrhage. In humans, biomarkers such as matrix metalloproteinase-9 (MMP-9) or fibronectin, which might be used to select patients at higher risk of hemorrhagic transformation, and high plasminogen activator inhibitor-1 (PAI-1) interfering with tPA-induced recanalization, thus predicting clot-lyses resistance and poor outcome, have been recently identified. Moreover, high levels of MMP-9 and MMP-13 are involved in DWI lesion growth in spite of thrombolytic therapy suggesting its ultra-early role in brain injury. Other biomarkers such as C-reactive protein may accurately predict stroke mortality following reperfusion therapies. Finally, we will also show that genetic background of stroke patients may condition plasma levels of some of these biomarkers and influence therapeutic response in t-PA-treated patients.

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