血脑屏障和药物药理动力学:机制和模型
Pavel P Tregub1, Daniil A Bystrov2, Ivan A Kushnir2
1Russian Center of Neurology and Neurosciences, Volokolamskoye Highway, 80, 125367, Moscow, Russian Federation; RUDN University, Miklukho-Maklaya Str., 6117198, Moscow, Russian Federation.
European journal of pharmacology
|June 26, 2025
概括
开发用于治疗大脑疾病的新药具有挑战性. 本综述探讨了先进的体外模型和数字双胞胎,用于评估神经药物药理动力学,提高药物开发效率.
科学领域:
- 神经药理学神经药理学
- 药物开发 药物开发
- 生物医学工程 生物医学工程
背景情况:
- 有效治疗大脑疾病需要新的神经药物.
- 目前的体内和体外模型在反映复杂的大脑药物分布方面存在局限性.
- 需要先进的模型来模仿大脑组织架构和流体动力学.
研究的目的:
- 审查目前的成就,局限性和生理学上相关的实验室脑组织模型的前景,以评估神经药物药理动力学.
- 突出微流体技术在创建这些先进模型中的作用.
- 讨论像数字双胞胎一样的in silico方法的整合.
主要方法:
- 关于实验室脑组织模型,包括微流体系统的文献综述.
- 对复制脑屏障 (例如,血脑屏障) 和组织复杂性的模型进行分析.
- 包括数字双胞胎模型用于体药理动力学分析.
主要成果:
- 微流体技术可以创建体外模型,更好地模仿大脑组织结构和流体循环.
- 这些模型可以更好地控制大脑中的化合物转移,新陈代谢和消除.
- 数字双胞胎为神经药物药理动力学的in silico分析提供了一个新的途径.
结论:
- 在生理学上相关的体外脑组织模型,特别是那些使用微流体的模型,对于推进神经药理学至关重要.
- 与传统方法相比,这些模型可以更准确地评估药物药理动力学.
- 未来的前景包括进一步整合in silico和in vitro方法,以进行全面的药物评估.
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