通过代码解码血栓症:对计算模型的审查
Noelia Grande Gutiérrez1, Debanjan Mukherjee2, David Bark3
1Carnegie Mellon University, Department of Mechanical Engineering Pittsburgh, PA, USA. Electronic address: https://twitter.com/ngrandeg.
Journal of thrombosis and haemostasis : JTH
|September 1, 2023
概括
计算建模提供了独特的洞察力,从分子到血管层面的血栓形成和血液静止. 本综述强调了基于血小板的血栓形成模型的进展,它们的应用以及临床翻译的未来方向.
科学领域:
- 生物物理学的生物物理.
- 计算生物学 计算生物学
- 血液学 血液学 血液学
背景情况:
- 血栓形成和血液静止涉及复杂的生物化学和生物物理过程,跨越多个尺度.
- 传统的实验和临床方法在充分阐明这些复杂的机制方面存在局限性.
- 计算建模提供了一种强大的方法来研究超越实验约束的血栓形成.
研究的目的:
- 审查最近的血栓形成计算建模方面的进展,特别关注基于血小板的机制.
- 总结各种建模方法,他们的见解,以及理解血栓形成和溶解的应用.
- 为了确定局限性,未来的研究方向,以及在血栓形成模型的临床翻译的机会.
主要方法:
- 综述有关血栓形成的计算建模现有文献,包括多尺度和多物理方法.
- 专注于解决血小板行为,血栓动态和与流体力的相互作用的模型.
- 分析模型衍生的见解,包括识别易发生血栓的区域和预测血栓行为的行为.
主要成果:
- 计算模型提供了对血栓形成,变形和栓塞的见解,补充了实验数据.
- 模型可以识别患者特定的血管区域容易发生血栓形成.
- 进展跨越了各种物理现象,长度尺度和与血栓形成相关的时间尺度.
结论:
- 在 silico 调查对于推进血栓形成和血液静止的知识至关重要.
- 未来的模型可以扩展到包括血栓炎症,血小板生产和清除.
- 计算方法和处理能力的持续发展将推动血栓瘤研究和临床应用的显著增长.
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