使用定向分化和转录重编程生成hiPSC衍生的脑微血管内皮细胞
Aomeng Cui1, Ronak Patel2, Patrick Bosco2
1Department of Neurology (A.C., U.A., D.A.), Columbia University Irving Medical Center, New York, NY.
Arteriosclerosis, thrombosis, and vascular biology
|November 25, 2025
概括
研究人员从诱导的多能干干细胞 (iPSC) 中开发了重编程的大脑微血管内皮细胞 (rBMEC),以更好地模拟人类血脑屏障 (BBB). 这些rBMECs表现出增强的BBB特性和特定于大脑的转录组,有助于阿尔茨海默病研究.
科学领域:
- 神经科学是一个神经科学.
- 干细胞生物学 干细胞生物学
- 血管生物学 血管生物学
背景情况:
- 人类血脑屏障 (BBB) 的建模具有挑战性,原因是产生功能诱导多能干细胞 (iPSC) 衍生的脑微血管内皮细胞 (BMEC) 的局限性.
- 现有的方法无法完全复制关键的BMEC功能和大脑内皮细胞的特定基因表达模式.
研究的目的:
- 使用iPSCs开发一种强大的协议,用于生成具有增强血脑屏障特性的重编程BMEC (rBMEC).
- 在3D神经血管模型中调查家族性阿尔茨海默病突变对BBB完整性和炎症反应的影响.
主要方法:
- 人类iPSCs的定向分化与转录因子FOXF2和ZIC3的过度表达相结合,产生rBMECs.
- 使用免疫光,功能测试和大量RNA测序进行表征.
- 在微流体平台上与iPSC衍生的星细胞和周细胞共同培养rBMEC,以创建一个3D神经血管单元.
主要成果:
- rBMECs表现出BBB转录组的一个子集,改善了屏障功能,减少了转细胞体,和可比的P-糖蛋白活性与初级BMECs.
- 由rBMECs,星细胞和周细胞组成的3D神经血管系统表现出强大的BBB特性.
- 在rBMECs中家族性阿尔茨海默病突变 (APP V717I) 导致屏障完整性降低和炎症标志物增加,与寡合氨基酸β-β效应不同.
结论:
- 开发的协议成功地产生了具有显著BBB特性和脑特异性转录组的rBMEC.
- 来自iPSC的3D神经血管单元模型有效地回顾了体内人类BBB的各个方面.
- 该APP V717I突变独立影响BBB属性和炎症状态,提供了对阿尔茨海默病病原体的见解.
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