Department of Biochemistry and Immunology, Federal University of Minas Gerais, Belo Horizonte-MG, Brazil.
Department of Chemistry, Federal University of Minas Gerais, Belo Horizonte-MG, Brazil.
Biomed Res Int. 2019 Jan 20;2019:8480468. doi: 10.1155/2019/8480468. eCollection 2019.
Ischemic stroke is a neurovascular disorder caused by reduced or blockage of blood flow to the brain, which may permanently affect motor and cognitive abilities. The diagnostic of stroke is performed using imaging technologies, clinical evaluation, and neuropsychological protocols, but no blood test is available yet. In this work, we analyzed amino acid concentrations in blood plasma from poststroke patients in order to identify differences that could characterize the stroke etiology. Plasma concentrations of sixteen amino acids from patients with chronic ischemic stroke (n = 73) and the control group (n = 16) were determined using gas chromatography coupled to mass spectrometry (GC-MS). The concentration data was processed by Partial Least Squares-Discriminant Analysis (PLS-DA) to classify patients with stroke and control. The amino acid analysis generated a first model able to discriminate ischemic stroke patients from control group. Proline was the most important amino acid for classification of the stroke samples in PLS-DA, followed by lysine, phenylalanine, leucine, and glycine, and while higher levels of methionine and alanine were mostly related to the control samples. The second model was able to discriminate the stroke subtypes like atherothrombotic etiology from cardioembolic and lacunar etiologies, with lysine, leucine, and cysteine plasmatic concentrations being the most important metabolites. Our results suggest an amino acid biosignature for patients with chronic stroke in plasma samples, which can be helpful in diagnosis, prognosis, and therapeutics of these patients.
缺血性中风是一种由大脑血液供应减少或阻塞引起的神经血管疾病,可能会永久影响运动和认知能力。中风的诊断是通过影像学技术、临床评估和神经心理学方案进行的,但目前还没有血液测试。在这项工作中,我们分析了中风后患者血浆中的氨基酸浓度,以确定可能表征中风病因的差异。使用气相色谱-质谱联用仪 (GC-MS) 测定了慢性缺血性中风患者 (n = 73) 和对照组 (n = 16) 血浆中 16 种氨基酸的浓度。使用偏最小二乘判别分析 (PLS-DA) 对浓度数据进行处理,以对中风患者和对照组进行分类。氨基酸分析生成了一个能够区分缺血性中风患者和对照组的初步模型。脯氨酸是 PLS-DA 中风样本分类中最重要的氨基酸,其次是赖氨酸、苯丙氨酸、亮氨酸和甘氨酸,而甲硫氨酸和丙氨酸水平较高则与对照组样本大多相关。第二个模型能够区分动脉粥样硬化病因、心源性栓塞和腔隙性病因等中风亚型,赖氨酸、亮氨酸和半胱氨酸等血浆浓度是最重要的代谢物。我们的研究结果表明,中风患者的血浆样本中存在氨基酸生物标志物,这有助于这些患者的诊断、预后和治疗。