Department of Chemistry, University of Cincinnati, Cincinnati, OH, USA.
J Sep Sci. 2012 Sep;35(17):2153-61. doi: 10.1002/jssc.201200216. Epub 2012 Jul 16.
Stroke is the most common cause of morbidity and death in the Western world, following ischemic heart disease and cancer. Stroke can be of two types, ischemic or hemorrhagic, with ischemic stroke accounting for approximately 85% of the total number of strokes. Well-recognized environmental risk factors for stroke include hypertension, smoking, diabetes mellitus, atrial fibrillation, and atherosclerosis. Computed tomography (CT) scanning is used to diagnose hemorrhagic stroke but is relatively ineffective and may remain normal in patients with mild ischemic strokes. Magnetic Resonance Imaging (MRI) is more sensitive in detecting ischemia than CT, especially in the diagnosis of mild stroke but it is still not 100% sensitive or precise. A simple and low-cost, rapid blood test to confirm a clinical and imaging diagnosis of ischemic stroke would be extremely useful. Based on this, the central idea of this paper is to develop a method that would be applicable to a statistically viable sample set to provide candidate biomarkers for distinguishing stroke types. In search of these candidate biomarkers, different analytical separation techniques have been used to screen for major differences in the proteomes of patients plasma samples with proteomics for identification.
中风是西方世界发病率和死亡率最高的疾病，仅次于缺血性心脏病和癌症。中风可分为缺血性或出血性两种，其中缺血性中风约占中风总数的 85%。公认的中风环境风险因素包括高血压、吸烟、糖尿病、心房颤动和动脉粥样硬化。计算机断层扫描（CT）扫描用于诊断出血性中风，但效果相对较差，且可能在轻度缺血性中风患者中仍正常。磁共振成像（MRI）比 CT 更敏感地检测缺血，特别是在轻度中风的诊断中，但它仍然不是 100%敏感或精确。一种简单、低成本、快速的血液检测方法来确认缺血性中风的临床和影像学诊断将非常有用。基于此，本文的中心思想是开发一种适用于具有统计学可行性的样本集的方法，以提供候选生物标志物来区分中风类型。在寻找这些候选生物标志物的过程中，已经使用了不同的分析分离技术来筛选患者血浆样本中的蛋白质组，以通过蛋白质组学进行鉴定。
