将计算流体动力学集成到器官芯片系统中:以质母细胞瘤为中心的设计和验证框架
Hooman Taleban1, Xinzhong Li1, Zulfiqur Ali2
1Centre for Biodiscovery, SHLS Life Sciences, School of Health and Life Sciences, Teesside University, Middlesbrough, United Kingdom.
Frontiers in bioengineering and biotechnology
|February 9, 2026
概括
计算流体动力学 (CFD) 通过改进设计和生物准确性来增强质母细胞瘤 (GBM) 的器官芯片模型. 本综述概述了CFD策略,用于创建更具预测性和可扩展性的芯片上的GBM模型.
科学领域:
- 生物医学工程 生物医学工程
- 癌症研究 癌症研究
- 微流体学 微流体学
背景情况:
- 多形质母细胞瘤 (GBM) 是一种具有复杂瘤微环境 (TME) 的致命脑癌.
- 目前的器官芯片 (OoC) 模型由于经验设计和缺乏对物理线索的控制而难以复制GBM的生物复杂性.
- 在复制GBM的生物复杂性和OOC平台的设备制造/维护方面存在限制.
研究的目的:
- 审查使用OOC平台进行GBM TME复制的当前局限性.
- 突出计算流体动力学 (CFD) 策略,以提高OOC模型设计,精度和生物保真度.
- 提出一个结构化的工作流程,将CFD集成到GBM-on-chip模型开发和验证中.
主要方法:
- 关于GBM,TME,OOC平台和CFD应用的综合文献审查.
- 将OOC制造和维护中的技术限制映射到特定的CFD策略中.
- 综合CFD集成工作流程用于GBM-on-chip模型设计,优化和验证.
主要成果:
- CFD提供了强大的工具来克服OOC设计中的GBM的局限性,从而能够对流量,梯度和机械线索进行预测性控制.
- 为将CFD整合到微流体GBM模型的开发和验证中,提出了一个结构化的工作流.
- 验证框架被突出显示并映射到芯片上的GBM应用程序中,引用国际工程和监管标准.
结论:
- 对于推进芯片上的GBM开发,将工程精度与生物复杂性相结合,CFD至关重要.
- 将CFD与基于AI的优化整合起来,可以带来更具预测性,可扩展性和生物相关的体外GBM模型.
- 本综述为利用CFD提供了一份路线图,以提高脑癌研究中微流体模型的可靠性.
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