神经器官工程和疾病专注的高通量神经药理学:进步,局限性和翻译策略
Bahareh Farasati Far1, Kimia Omidvar2, Ehsan Heidari3
1Department of Biomedical Engineering, Erciyes University, Kayseri 38039, Türkiye.
ACS pharmacology & translational science
|January 15, 2026
概括
基于人类细胞的模型,如有机体,为神经精神疾病提供了改进的药物查,克服了动物模型的局限性. 这加快了有效治疗方法的发现,并推动了精确精神病学的发展.
科学领域:
- 神经科学是一个神经科学.
- 生物技术是生物技术.
- 药理学 药理学是指药理学的学科.
背景情况:
- 动物模型在预测人类神经精神疾病治疗方面存在局限性,这是由于特定物种的遗传学和神经发育.
- 许多中枢神经系统 (CNS) 候选药物在后期临床试验中失败,尽管进行了广泛的研究.
研究的目的:
- 审查神经工程平台,特别是来自患者的诱导多能干细胞 (iPSC) 器官和神经质共培,如何增强神经精神疾病的高通量查 (HTS).
- 突出这些基于人体细胞的模型在改善临床准确性和加速治疗严重抑郁症,精神分裂症,双相情感障碍和焦虑症等疾病的药物发现方面的潜力.
主要方法:
- 专注于人体细胞衍生器官和神经质共培模式,重复神经精神疾病的电路水平病理生理学.
- 使用有机体支持的HTS,将人类遗传与自动化表型化整合起来,以识别电路级药物效应.
- 讨论生物材料,单细胞分析和机器学习方面的进展,以应对诸如多组数据集成,血管化和批量可变性等挑战.
主要成果:
- 有机器人支持的HTS加速了在电路层面上识别药物效应.
- 这些基于人类细胞的模型与传统的动物模型相比,显示出更高的临床准确性.
- 在药物查管道中减少对动物模型的依赖.
结论:
- 人类iPSC衍生器官和先进的神经工程重复神经精神病理学,并使可扩展的药物查.
- 这些创新解决了精神病药物开发中的一个关键瓶,可能缩小了长椅到床边的差距.
- 通过改善药物发现管道,不断的进步为精密精神病学铺平了道路.
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