3D细胞外矩阵的空间配置 - - 原密度和异质性 - - 同时指导血管生成
Steven A LaBelle1,2, A Marsh Poulson2, Steve A Maas1,2
1Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America.
PLoS computational biology
|October 23, 2023
概括
模拟血管生成的计算模型现在解释了细胞外矩阵 (ECM) 原密度和异性质. 使用圆形纤维分布 (EFD) 的新模拟比以前的方法更准确地预测微血管引导.
科学领域:
- 生物力学 生物力学
- 计算生物学 计算生物学
- 细胞生物学 细胞生物学
背景情况:
- 细胞外矩阵 (ECM) 特性,如原密度和异质性,会影响血管形成 (血管生成).
- 以前的计算模型简化了ECM原蛋白的方向,忽视了它的对齐强度和密度.
- 最近的发现强调了原对齐方向,异性质度和密度对细胞指导的综合影响.
研究的目的:
- 通过使用计算模拟来研究ECM原异性质和密度在发芽血管生成中的作用.
- 为了增强 AngioFE (生物力学有限元素) 插件的 FEBio 模拟 ECM 原蛋白作为 3D 圆形纤维分布 (EFD).
- 为了比较基于EFD的模拟的预测准确度与之前的原异构的矢量场表示.
主要方法:
- 开发了一个扩展的AngioFE模型,其中包含可变形的3D圆形纤维分布 (EFD) 用于ECM原.
- 修改了微血管生长速度和方向,以取决于ECM原异性质 (方向和程度) 和密度.
- 校准的AngioFE模拟与微血管生长的实验数据在不同异性异性和密度的原体凝.
主要成果:
- 与矢量场模拟相比,基于EFD的模拟在预测微血管引导方面表现出更高的准确性.
- 模拟表明,异性向变梯度可以在短距离和长距离上引导微血管,这与伤口愈合有关.
- 预测,原蛋白对齐有助于微血管在密集组织接口中导航,例如瘤相关的原结构 (TACS).
结论:
- EFD方法提供了一个更准确的ECM对血管新生影响的计算表现.
- 模拟突出了原结构的潜力,以指导新血管化和组织修复.
- 这种建模框架可以扩展到在计算环境中研究其他细胞引导现象.
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