Department of Anesthesiology, Perioperative and Pain Medicine, Stanford School of Medicine, CA, USA.
Stanford Stroke Center, Stanford School of Medicine, CA, USA.
Brain. 2019 Apr 1;142(4):978-991. doi: 10.1093/brain/awz022.
Stroke is a leading cause of cognitive impairment and dementia, but the mechanisms that underlie post-stroke cognitive decline are not well understood. Stroke produces profound local and systemic immune responses that engage all major innate and adaptive immune compartments. However, whether the systemic immune response to stroke contributes to long-term disability remains ill-defined. We used a single-cell mass cytometry approach to comprehensively and functionally characterize the systemic immune response to stroke in longitudinal blood samples from 24 patients over the course of 1 year and correlated the immune response with changes in cognitive functioning between 90 and 365 days post-stroke. Using elastic net regularized regression modelling, we identified key elements of a robust and prolonged systemic immune response to ischaemic stroke that occurs in three phases: an acute phase (Day 2) characterized by increased signal transducer and activator of transcription 3 (STAT3) signalling responses in innate immune cell types, an intermediate phase (Day 5) characterized by increased cAMP response element-binding protein (CREB) signalling responses in adaptive immune cell types, and a late phase (Day 90) by persistent elevation of neutrophils, and immunoglobulin M+ (IgM+) B cells. By Day 365 there was no detectable difference between these samples and those from an age- and gender-matched patient cohort without stroke. When regressed against the change in the Montreal Cognitive Assessment scores between Days 90 and 365 after stroke, the acute inflammatory phase Elastic Net model correlated with post-stroke cognitive trajectories (r = -0.692, Bonferroni-corrected P = 0.039). The results demonstrate the utility of a deep immune profiling approach with mass cytometry for the identification of clinically relevant immune correlates of long-term cognitive trajectories.
中风是认知障碍和痴呆的主要原因,但导致中风后认知能力下降的机制尚不清楚。中风会引起深刻的局部和全身免疫反应,涉及所有主要的先天和适应性免疫细胞群。然而,中风引起的全身免疫反应是否会导致长期残疾仍未得到明确界定。我们使用单细胞液质联用技术,在 1 年内对 24 例患者的纵向血液样本进行全面、功能化分析,以研究中风后全身免疫反应,并将免疫反应与中风后 90 至 365 天内认知功能的变化进行关联。通过弹性网络正则化回归模型,我们确定了对缺血性中风产生强烈而持久的全身免疫反应的关键因素,它发生在三个阶段:急性阶段(第 2 天),固有免疫细胞类型中的信号转导和转录激活因子 3(STAT3)信号反应增加;中间阶段(第 5 天),适应性免疫细胞类型中的环磷酸腺苷反应元件结合蛋白(CREB)信号反应增加;晚期阶段(第 90 天),中性粒细胞和免疫球蛋白 M+(IgM+)B 细胞持续升高。到第 365 天,这些样本与无中风的年龄和性别匹配患者队列的样本之间没有明显差异。将其与中风后第 90 至 365 天蒙特利尔认知评估分数的变化进行回归分析,急性炎症阶段的弹性网络模型与中风后的认知轨迹相关(r = -0.692,经 Bonferroni 校正后 P = 0.039)。结果表明,使用液质联用技术进行深度免疫分析的方法可用于确定与长期认知轨迹相关的临床相关免疫标志物。