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计算机建模区分了对马尔凡大动脉动脉瘤进展的各种贡献者

David S Li¹, Cristina Cavinato², Marcos Latorre³

¹Department of Biomedical Engineering, Yale University, New Haven, CT, USA.

Proceedings. Mathematical, physical, and engineering sciences

|October 23, 2025

概括

马凡综合症通过弹性纤维的降解和细胞机械感知功能受损导致胸前大动脉动脉瘤. 计算模型揭示了这些因素,与细胞外矩阵变化一起,驱动大动脉壁退化.

科学领域:

生物医学工程生物医学工程
心血管研究研究心血管研究
遗传学是一个遗传学.

背景情况:

胸前动脉动脉瘤涉及由于退行性变化而逐渐丧失生物机械功能.
由纤维素-1基因突变引起的马方综合征是这些动脉瘤的常见遗传原因.
组织病理学显示,马尔芬大动脉中的弹性纤维降解,原重塑和光滑肌肉细胞功能障碍.

研究的目的:

调查马尔凡综合征中动脉瘤扩张的生物力学贡献者.
为了评估受损的弹性纤维完整性的充分性,单独解释疾病进展.
阐明细胞机械感知和机械调节在马尔凡综合征相关的风病中的作用.

主要方法:

利用计算增长和重建模型.
分析了马凡综合征小鼠模型的生物力学数据.
通过模拟确定了最佳的疾病贡献参数.

主要成果:

损害弹性纤维完整性仅仅是不够的,不能完全描述Marfan小鼠模型中的生物力学数据.
模拟表明受损的壁细胞机械感知和机械调节是关键的贡献者.
观察到细胞机械感知/调节相对于弹性纤维降解的快速下降.

结论:

马芬综合征中的动脉扩张是多种相互作用因素的结果,而不仅仅是弹性纤维的损失.
细胞机械感知和机械调节受损在疾病的自然史中起着核心作用.
计算机械生物学模型是剖析大动脉动脉瘤中复杂疾病机制的宝贵工具.

关键词:

生物医学工程生物医学工程原重新塑造的原重塑计算机建模和模拟.弹性纤维的碎片化弹性纤维的碎片化数学建模的数学建模矩阵营业额的周转率机械感知机械感知机器

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