CAREER: Toward a Fundamental Understanding of Why Thrombus Dissolves, Persists, or Breaks Off

职业生涯:对血栓为何溶解、持续或破裂有一个基本的了解

基本信息

  • 批准号:
    2046148
  • 负责人:
  • 金额:
    $ 56.85万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-03-01 至 2026-02-28
  • 项目状态:
    未结题

项目摘要

This Faculty Early Career Development (CAREER) award will use experimental and computational strategies to quantify fundamental biophysical properties of blood clot. The research work will study why blood clot sometimes dissolves, sometimes persists, and sometimes embolizes (breaks off.) To this end, the research work will use a clot mimic system that is highly controllable and of realistic composition. Using both experimental and computational strategies, the work will enable mechanistic insight into a what determines blood clot’s fate. Future extensions of this work may enable improved diagnostic and therapeutic strategies for patients that suffer from clot-related disease such as heart attacks, stroke, or deep vein thrombosis. This scientific approach may also be applicable to other soft and biological materials, as blood clot is very similar to these. Thus, this research project will contribute to the progress in many areas of science. Finally, the work integrates its research objectives with educational objectives and broader impact goals that will directly translate our advancements in health and science to public value. The specific goal of this research is to use deep vein thrombus as a model system to fundamentally understand and learn to predict how thrombus microstructure gives rise to its biophysical properties, how these properties change during thrombus maturation and with treatment, and how maturation and treatment determine thrombus fate. To accomplish this goal, the research work will first quantify thrombus’ micro- and macroscopic biophysical properties during maturation and lysis using classic mechanical testing modalities such as simple shear testing, confined compression testing, and mode I fracture tests. Additionally, it will make use of strategies to conduct these experiments under confocal observation. Second, this work will calibrate and validate multiscale models to understand and predict thrombus fate. To this end, two types of models will be used: an investigative, microstructural model and a predictive, continuum model. Both models will be calibrated and validated against the experimental data and then used to investigate the mechanisms that lead to thrombus dissolution, persistence, and embolization. Additionally, these models will provide a framework that, in the future, will aid in optimizing deep vein thrombus treatment and therapeutic technologies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该学院早期职业发展(职业)奖将使用实验和计算策略来量化血凝块的基本生物物理特性,研究工作将研究为什么血凝块有时会溶解,有时会持续存在,有时会栓塞(破裂)。这项研究工作将使用高度可控且具有现实成分的血块模拟系统,通过使用实验和计算策略,这项工作将能够从机制上洞察决定血凝块命运的因素。这种科学方法也适用于其他软质和生物材料,因为血凝块与这些材料非常相似。因此,该研究项目将有助于许多科学领域的进步,最后,这项工作将其研究目标与教育目标和更广泛的影响目标结合起来,这将直接将我们在健康和科学方面的进步转化为公共价值。研究是使用深静脉血栓作为模型系统为了从根本上理解和学习预测血栓微观结构如何产生其生物物理特性,这些特性在血栓成熟过程中和治疗过程中如何变化,以及成熟和治疗如何决定血栓命运。为了实现这一目标,研究工作将首先量化血栓的命运。使用简单剪切测试、有限压缩测试和 I 型断裂测试等经典机械测试方式,研究成熟和裂解过程中的微观和宏观生物物理特性。此外,还将利用在共焦观察下进行这些实验的策略。其次,这项工作将校准和验证多尺度模型,以了解和预测血栓命运,为此,将使用两种类型的模型:研究性微观结构模型和预测性连续体模型。此外,这些模型将提供一个框架,在未来有助于优化深静脉血栓治疗和治疗。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(17)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Elasticity of whole blood clots measured via Volume Controlled Cavity Expansion
通过体积控制腔扩张测量全血凝块的弹性
Teaching Material Testing and Characterization with an Open, Accessible, and Affordable Mechanical Test Device
使用开放、易于访问且经济实惠的机械测试设备进行教学材料测试和表征
  • DOI:
    10.1007/s43683-021-00056-x
  • 发表时间:
    2021-09
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sugerman, Gabriella P.;Rausch, Manuel K.
  • 通讯作者:
    Rausch, Manuel K.
AI-dente: an open machine learning based tool to interpret nano-indentation data of soft tissues and materials
AI-dente:一种基于开放机器学习的工具,用于解释软组织和材料的纳米压痕数据
  • DOI:
    10.1039/d3sm00402c
  • 发表时间:
    2023-08-25
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Patrick A Giol;o;o;Sotirios Kakaletsis;Xuesong Zhang;J. Weickenmeier;Edward Castillo;B. Dortdivanlioglu;M. Rausch
  • 通讯作者:
    M. Rausch
Synthetic hydrogels as blood clot mimicking wound healing materials
合成水凝胶作为模拟伤口愈合材料的血凝块
  • DOI:
    10.1088/2516-1091/ac23a4
  • 发表时间:
    2021-09
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rausch, Manuel K.;Parekh, Sapun H.;Dortdivanlioglu, Berkin;Rosales, Adrianne M.
  • 通讯作者:
    Rosales, Adrianne M.
Nonlinear, dissipative phenomena in whole blood clot mechanics
全血凝块力学中的非线性耗散现象
  • DOI:
    10.1039/d0sm01317j
  • 发表时间:
    2020-11
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Sugerman, Gabriella P.;Parekh, Sapun H.;Rausch, Manuel K.
  • 通讯作者:
    Rausch, Manuel K.
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Manuel Rausch其他文献

The Confidence Database
信心数据库
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    29.9
  • 作者:
    D. Rahnev;Kobe Desender;Alan L. F. Lee;William T. Adler;David Aguilar;Başak Akdoǧan;Polina Arbuzova;L. Atlas;F. Balcı;J. Bang;Indrit Bègue;D. Birney;Timothy F. Brady;Joshua Calder;A. Chetverikov;T. Clark;K. Davranche;Rachel N. Denison;Troy C. Dildine;Kit S. Double;Y. Duyan;N. Faivre;Kaitlyn M. Fallow;E. Filevich;T. Gajdos;Regan M. Gallagher;V. de Gardelle;Sabina Gherman;Nadia Haddara;Marine Hainguerlot;Tzu;Xiao Hu;I. Iturrate;M. Jaquiery;J. Kantner;M. Koculak;Mahiko Konishi;C. Koß;Peter D. Kvam;S. C. Kwok;M. Lebreton;Karolina M. Lempert;Chien Ming Lo;Liang Luo;Brian Maniscalco;Antonio Martín;S. Massoni;J. Matthews;Audrey Mazancieux;D. Merfeld;D. O’Hora;E. Palser;B. Paulewicz;M. Pereira;Caroline Peters;M. Philiastides;G. Pfuhl;Fernanda Prieto;Manuel Rausch;S. Recht;G. Reyes;M. Rouault;J. Sackur;S. Sadeghi;J. Samaha;T. Seow;Medha Shekhar;Maxine T. Sherman;Marta Siedlecka;Zuzanna Skóra;Chen Song;David Soto;Sai Sun;Jeroen J. A. van Boxtel;Shuo Wang;C. Weidemann;Gabriel Weindel;M. Wierzchoń;Xinming Xu;Q. Ye;Jiwon Yeon;Futing Zou;Ariel Zylberberg
  • 通讯作者:
    Ariel Zylberberg
Confidence in masked orientation judgments is informed by both evidence and visibility
对蒙面方向判断的信心取决于证据和可见性
The folded X-pattern is not necessarily a statistical signature of decision confidence
折叠的 X 模式不一定是决策置信度的统计签名
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Manuel Rausch;Michael Zehetleitner
  • 通讯作者:
    Michael Zehetleitner
Running head : logistic regression and metacognition 1 2 3 4 5 Should metacognition be measured by logistic regression ?
运行头:逻辑回归和元认知 1 2 3 4 5 元认知应该用逻辑回归来衡量吗?
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Manuel Rausch;Michael Zehetleitner
  • 通讯作者:
    Michael Zehetleitner
Modelling visibility judgments using models of decision confidence
使用决策置信度模型对可见性判断进行建模

Manuel Rausch的其他文献

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{{ truncateString('Manuel Rausch', 18)}}的其他基金

Collaborative Research: Inferring The In Situ Micro-Mechanics of Embedded Fiber Networks by Leveraging Limited Imaging Data
合作研究:利用有限的成像数据推断嵌入式光纤网络的原位微观力学
  • 批准号:
    2127925
  • 财政年份:
    2022
  • 资助金额:
    $ 56.85万
  • 项目类别:
    Standard Grant
Collaborative Research: Inferring The In Situ Micro-Mechanics of Embedded Fiber Networks by Leveraging Limited Imaging Data
合作研究:利用有限的成像数据推断嵌入式光纤网络的原位微观力学
  • 批准号:
    2127925
  • 财政年份:
    2022
  • 资助金额:
    $ 56.85万
  • 项目类别:
    Standard Grant
Understanding Mechano-Fibrinolysis: Fiber-Scale Multiphysics Experiments and Models
了解机械纤维蛋白溶解:纤维尺度多物理场实验和模型
  • 批准号:
    2105175
  • 财政年份:
    2021
  • 资助金额:
    $ 56.85万
  • 项目类别:
    Continuing Grant
Collaborative Research: An in vivo/in silico Approach to Delineate the Effect of Age on Pressure Ulcer Susceptibility
合作研究:描述年龄对压疮易感性影响的体内/计算机方法
  • 批准号:
    1916663
  • 财政年份:
    2019
  • 资助金额:
    $ 56.85万
  • 项目类别:
    Standard Grant

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