Department of Neurology, MIND Institute Research Wet Labs-Room 2415, University of California at Davis, 2805 50 Street, Sacramento, CA 95817, USA.
Neurology. 2011 Nov 8;77(19):1718-24. doi: 10.1212/WNL.0b013e318236eee6. Epub 2011 Oct 12.
Transient ischemic attacks (TIA) are common. Though systemic inflammation and thrombosis are associated with TIA, further study may provide insight into TIA pathophysiology and possibly lead to the development of treatments specifically targeted to TIA. We sought to determine whether gene expression profiles in blood could better characterize the proinflammatory and procoagulant states in TIA patients.
RNA expression in blood of TIA patients (n = 26) was compared to vascular risk factor control subjects without symptomatic cardiovascular disease (n = 26) using Affymetrix U133 Plus 2.0 microarrays. Differentially expressed genes in TIA were identified by analysis of covariance and evaluated with cross-validation and functional analyses.
Patients with TIA had different patterns of gene expression compared to controls. There were 480 probe sets, corresponding to 449 genes, differentially expressed between TIA and controls (false discovery rate correction for multiple comparisons, p ≤ 0.05, absolute fold change ≥1.2). These genes were associated with systemic inflammation, platelet activation, and prothrombin activation. Hierarchical cluster analysis of the identified genes suggested the presence of 2 patterns of RNA expression in patients with TIA. Prediction analysis identified a set of 34 genes that discriminated TIA from controls with 100% sensitivity and 100% specificity.
Patients with recent TIA have differences of gene expression in blood compared to controls. The 2 gene expression profiles associated with TIA suggests heterogeneous responses between subjects with TIA that may provide insight into cause, risk of stroke, and other TIA pathophysiology.
短暂性脑缺血发作(TIA)较为常见。尽管全身炎症和血栓形成与 TIA 相关,但进一步的研究可能有助于深入了解 TIA 的病理生理学,并可能开发出专门针对 TIA 的治疗方法。我们旨在确定血液中的基因表达谱是否可以更好地描述 TIA 患者的促炎和促凝状态。
使用 Affymetrix U133 Plus 2.0 微阵列比较 TIA 患者(n=26)和无症状心血管疾病的血管危险因素对照者(n=26)的血液 RNA 表达。通过协方差分析识别 TIA 中的差异表达基因,并通过交叉验证和功能分析进行评估。
与对照组相比,TIA 患者的基因表达模式存在差异。TIA 与对照组之间有 480 个探针集(对应 449 个基因)差异表达(多重比较的错误发现率校正,p≤0.05,绝对倍数变化≥1.2)。这些基因与全身炎症、血小板激活和凝血酶原激活有关。鉴定出的基因的层次聚类分析表明,TIA 患者存在 2 种 RNA 表达模式。预测分析确定了一组 34 个基因,可将 TIA 与对照组区分开来,具有 100%的敏感性和 100%的特异性。
与对照组相比,近期发生 TIA 的患者血液中的基因表达存在差异。与 TIA 相关的 2 种基因表达谱表明 TIA 患者之间存在异质性反应,这可能有助于深入了解病因、中风风险和其他 TIA 病理生理学。