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对帕金森病的药物发现和开发:临床前模型是否足够好?
Alejandro Reinares-Sebastián1,2,3, Noelia Esteban-García1,2,4, Masahiko Takada5,6
1HM Centro Integral de Neurociencias Abarca Campal (CINAC), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.
Frontiers in aging neuroscience
|November 13, 2025
概括
由于临床前模型的局限性,帕金森病 (PD) 研究面临着挑战. 本次审查评估了目前的PD模型,旨在提高它们对药物发现的预测价值.
科学领域:
- 神经科学是一个神经科学.
- 翻译研究是翻译研究.
- 药物发现 药物发现 药物发现
背景情况:
- 帕金森病 (PD) 呈现出日益增长的全球患病率和未满足的治疗需求.
- 病发症包括运动症状 (勃拉迪基尼西亚,刚性,震) 和非运动特征 (缺血症,便秘,睡眠障碍).
- 目前PD的治疗方法是症状性的,不能阻止疾病的进展.
研究的目的:
- 批判性地检查帕金森病的现有临床前模型.
- 评估这些模型在概括PD复杂性的优缺点.
- 确定提高PD药物发现中的实验模型预测价值的考虑因素.
主要方法:
- 对帕金森病临床前模型现有文献的综述.
- 在体外和体外模型的分析,包括细胞和动物系统.
- 对电机和非电机PD特征的模型实用性的评估.
主要成果:
- 存在广泛的临床前模型,从体外系统到复杂的动物模型.
- 由于模型对人类PD异质性的忠实性的局限性,仍然存在显著的翻译差距.
- 模型在捕捉PD全谱的能力上有所不同,包括非运动症状.
结论:
- 临床前模型对于了解PD病原体和确定疾病修饰策略至关重要.
- 提高PD模型的预测价值对于成功的药物发现至关重要.
- 解决模型的局限性是弥合PD临床前研究和临床应用之间的差距的关键.
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