通过结合流体结构和系统生物学模型捕捉大动脉结石化的多尺度动力学
bioRxiv : the preprint server for biology
|January 23, 2026
概括
一个新的计算模型整合了流体动力学和细胞信号,模拟了动脉疾病 (CAVD). 这种方法揭示了机械变化如何加速化,为心血管疾病进展提供了洞察力.
科学领域:
- 心血管研究研究心血管研究
- 计算生物学 计算生物学
- 生物医学工程 生物医学工程
背景情况:
- 动脉疾病 (CAVD) 涉及血液流动,组织力学和细胞信号之间的复杂相互作用.
- 现有的计算模型经常单独处理流体结构相互作用 (FSI) 或系统生物学 (SB),限制对疾病反循环的理解.
研究的目的:
- 开发和介绍一个多物理计算框架,将3D FSI模拟与CAVD的机械 SB模型结合起来.
- 研究机械力和生化途径在驱动大动脉结石化中的相互作用.
主要方法:
- 结合3D FSI模拟大动脉动力学与化信号的机械 SB 模型.
- 使用FSI输出 (壁切应力,组织应力) 作为SB模块 (炎症,TGF-β/SMAD,NO通路) 的输入.
主要成果:
- 模拟预测纤维化诱导的硬化减少了氧化 (NO) 的合成,并增强了TGF-β的激活.
- 这些生化变化被证明可以加速大动脉中化的进展.
结论:
- 开发的多尺度框架成功地整合了血液动力学和生化信号,用于研究心血管疾病.
- 该平台为下一代CAVD建模提供了基础,使疾病机制和潜在干预措施的探索成为可能.
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