Single-Cell Microwell Platform Reveals Circulating Neural Cells as a Clinical Indicator for Patients with Blood-Brain Barrier Breakdown.
Single-Cell Microwell Platform Reveals Circulating Neural Cells as a Clinical Indicator for Patients with Blood-Brain Barrier Breakdown.
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单细胞微孔平台揭示循环神经细胞作为血脑屏障破坏患者的临床指标
DOI：
10.34133/2021/9873545
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Ding X
中科院分区：
文献类型：
--
作者：
Zhang Y;Warden AR;Ahmad KZ;Liu Y;He X;Zheng M;Huo X;Zhi X;Ke Y;Li H;Yan S;Su W;Cai D;Ding X
中枢神经系统疾病通常伴随着血脑屏障的破坏而发生。作为发病率和死亡率的主要原因，中风仍然是不可预测的，并且缺乏准确量化其发生和发展的细胞生物标志物。在这里，我们鉴定了大脑中动脉闭塞（MCAO）小鼠和中风患者外周血中的NeuN+/CD 45 −/DAPI+表型非血细胞。由于NeuN是神经细胞的特异性标志物，因此我们将这些新鉴定的细胞称为循环神经细胞（CNCs）。我们发现血液中CNCs的计数与MCAO小鼠脑损伤的严重程度显著相关（p < 0.05）。脑卒中患者CNCs数量显著高于阴性对照组（p < 0.0001）。这些发现表明循环中CNCs的量可作为缺血性卒中和其他神经系统疾病发生和发展的实时预后和进展监测的临床指标。
Central nervous system diseases commonly occur with the destruction of the blood-brain barrier. As a primary cause of morbidity and mortality, stroke remains unpredictable and lacks cellular biomarkers that accurately quantify its occurrence and development. Here, we identify NeuN+/CD45−/DAPI+ phenotype nonblood cells in the peripheral blood of mice subjected to middle cerebral artery occlusion (MCAO) and stroke patients. Since NeuN is a specific marker of neural cells, we term these newly identified cells as circulating neural cells (CNCs). We find that the enumeration of CNCs in the blood is significantly associated with the severity of brain damage in MCAO mice (p < 0.05). Meanwhile, the number of CNCs is significantly higher in stroke patients than in negative subjects (p < 0.0001). These findings suggest that the amount of CNCs in circulation may serve as a clinical indicator for the real-time prognosis and progression monitor of the occurrence and development of ischemic stroke and other nervous system disease.
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影响因子：
--
作者：
Murray NP;Reyes E;Badínez L;Orellana N;Fuentealba C;Olivares R;Porcell J;Dueñas R
通讯作者：
Dueñas R
影响因子：
8.3
作者：
Ejaz, Sohail;Emmrich, Julius V.;Baron, Jean-Claude
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Baron, Jean-Claude
影响因子：
4.2
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Wirths, Oliver
影响因子：
17.1
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通讯作者：
Topol EJ
影响因子：
3.4
作者：
Deb-Chatterji, Milani;Pinnschmidt, Hans Otto;Magnus, Tim
通讯作者：
Magnus, Tim