通过人类3D直接神经元重编程对阿尔茨海默病神经病理的内源复述
bioRxiv : the preprint server for biology
|June 9, 2023
概括
研究人员使用患者细胞创建了阿尔茨海默病 (AD) 模型. 这些模型模仿AD病理,并表明早期使用分泌酶抑制剂或RTE抑制剂的治疗可以减少疾病的进展.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
- 细胞生物学 细胞生物学
背景情况:
- 阿尔茨海默病 (AD) 是一种神经退行性疾病,其特征是粉样β斑块,团和神经元死亡.
- 在患者衍生的神经元中复制与年龄相关的病理,特别是晚发性AD (LOAD),仍然具有挑战性.
研究的目的:
- 使用微RNA介导的重编程产生患者衍生的皮质神经元和球体.
- 为了研究这些3D培养的神经元中阿尔茨海默病 (AD) 神经病理的复杂性.
- 评估针对Aβ沉积和可逆转移元素的治疗干预措施的有效性.
主要方法:
- 从AD患者 (ADAD和LOAD) 的纤维细胞中介微RNA直接重新编程到皮质神经元.
- 在3D Matrigel中培养重编程的神经元和纤维细胞,并作为自组装的神经元球体.
- 用分泌酶抑制剂和逆转录酶抑制剂 (lamivudine) 的治疗.
主要成果:
- 来自AD患者的重编程神经元和球体表现出类似AD的表型:Aβ沉积,高酸化,和神经元死亡.
- 早期使用β-或γ-分泌酶抑制剂的治疗减少了Aβ沉积,病和神经退行.
- 使用拉米武丁抑制可逆转移元素 (RTEs) 缓解了AD神经病理.
结论:
- 在3D环境中的直接神经元重编程创建了一个与人类相关的AD模型,捕捉关键病理.
- 这个模型反映了Aβ,tau和神经退行症之间的相互作用.
- 该模型可用于识别阿尔茨海默病的潜在治疗化合物.
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