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Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic Dissection

Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic Dissection
主动脉夹层血栓生物力学的多尺度、多物理模型
批准号:
8729005
负责人:
Jay D. Humphrey
金额:
$48.97万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2018-08-31

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中文摘要
翻译
描述(由申请人提供):主动脉夹层是危及生命的事件;它在从儿童到年轻人和老年人的各个年龄段的个体中造成显著的发病率和死亡率。当夹层与真腔相通并在主动脉壁内形成所谓的假腔时,假腔可能保持通畅或部分或完全形成血栓。越来越多的临床证据表明,完全血栓形成的假腔可改善预后,而部分血栓形成的假腔可能使壁更容易进一步剥离或破裂。然而,迫切需要更好地了解假腔形成部分或完全血栓的机制和条件,以及为什么后者是有益的。我们假设血栓形成的程度主要取决于假腔内的血流动力学,部分血栓形成的夹层是危险的,因为与流动血液接触的壁内血栓持续释放纤溶酶可以激活残余主动脉壁内组成性产生的潜在基质金属蛋白酶,从而削弱壁。我们将开发首个数据驱动的、多尺度的、多物理场的主动脉夹层内血栓的生物力学模型。具体来说,我们将扩展并耦合血流、血小板动力学、纤维蛋白组织和纤溶蛋白运输的多尺度模型(Karniadakis组)与主动脉壁力学和纤维蛋白/胶原重塑的多尺度模型(Humphrey组),该模型将通过广泛接受的夹层动脉瘤小鼠模型(即,在载脂蛋白缺失的小鼠中输注血管紧张素II 28天)的大量新成像和免疫组织学数据进行告知和验证。此外,我们的模型将被设计来模拟两种抗凝血剂在交付时间方面的潜在益处。实现我们的三个具体目标将大大增加我们对血栓在主动脉夹层中的作用的理解,并有望最终提高预后能力和介入计划。此外,在本研究中获得的见解将具有重要的意义
英文摘要
DESCRIPTION (provided by applicant): Aortic dissection is a life threatening event; it is responsible for significant morbidity and mortality in individuals ranging in age from children to young and older adults. When a dissection communicates with the true lumen and forms a so-called false lumen within the aortic wall, this false lumen may remain patent or become either partially or completely thrombosed. Increasing clinical evidence suggests that a completely thrombosed false lumen results in an improved prognosis whereas a partially thrombosed false lumen may render the wall more vulnerable to further dissection or rupture. Yet, there is a pressing need to understand better the mechanisms by which, and conditions under which, a false lumen is expected to develop either a partial or a full thrombus and why the latter is beneficial. We hypothesize that the extent of thrombus formation depends primarily on the hemodynamics within the false lumen and that partially thrombosed dissections are dangerous because the continued release of plasmin by an intramural thrombus in contact with flowing blood can activate constitutively produced, latent matrix metalloproteinases within the remnant aortic wall, which in turn weaken the wall. We will develop the first data-driven, multiscale, multiphysics model of the biomechanics of intramural throm- bus in aortic dissection. Specifically, we will extend and then couple a multiscale model of blood flow, platelet kinetics, fibrin organization, and plasmin transport (Karniadakis group) with a multiscale model of aortic wall mechanics and fibrin/collagen remodeling (Humphrey group) that will be informed and validated with extensive new imaging and immuno-histological data from the most widely accepted mouse model of dissecting aortic aneurysms (i.e., 28 day infusion of angiotensin II in the apolipoprotein null mouse). In addition, our model will be designed to simulate the potential benefits of two anti-coagulants in terms of the time(s) of delivery. Realization of our three Specific Aims will significantly increase our understanding of roles of thrombus in aortic dissection, with the promise of eventually leading to an improved prognostic capability and interventional planning. In addition, insight gained in this study will have important implications for a host of other vascular conditions, including dissections of other arteries, treatment of pseudo-aneurysms with thrombin following catheterization, and the different roles of intraluminal thrombus in abdominal aortic aneurysms and intracranial aneurysms. We submit, therefore, that this project has significant promise to increase our basic understanding of a key issue in vascular biology as well as to contribute to treating better a broad class of clinical problems. 1
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Computational model-driven design to mitigate vein graft failure after coronary artery bypass
  • 批准号:
    10683327
  • 项目类别:
  • 资助金额:
    $70.08万
  • 财政年份:
    2022
  • 负责人:
    Jay D. Humphrey
  • 依托单位:
Computational model-driven design to mitigate vein graft failure after coronary artery bypass
  • 批准号:
    10539814
  • 项目类别:
  • 资助金额:
    $75.24万
  • 财政年份:
    2022
  • 负责人:
    Jay D. Humphrey
  • 依托单位:
Modeling Multiscale Immuno-Mechanics in Aortic Disease
  • 批准号:
    10532786
  • 项目类别:
  • 资助金额:
    $49.18万
  • 财政年份:
    2022
  • 负责人:
    Jay D. Humphrey
  • 依托单位:
Modeling Multiscale Immuno-Mechanics in Aortic Disease
  • 批准号:
    10352581
  • 项目类别:
  • 资助金额:
    $50.02万
  • 财政年份:
    2022
  • 负责人:
    Jay D. Humphrey
  • 依托单位:
海外基金