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CAREER: Hemodynamic Mechanisms of Heart-Aorta-Brain Coupling with An Integrated Preventive Medicine Education Program for Socioeconomically Disadvantaged Groups

职业：心-主动脉-脑耦合的血流动力学机制以及针对社会经济弱势群体的综合预防医学教育计划

基本信息

批准号：
2145890
负责人：
Niema Pahlevan
金额：
$ 54.88万
依托单位：
University of Southern California
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-04-01 至 2027-03-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2145890&HistoricalAwards=false
关键词：
CAREER Hemodynamic Mechanisms Heart Aorta

项目摘要

The human body works based on a delicate balance of blood flow dynamic between the heart, the aorta (the largest vessel extending from the heart), and other major organs like the brain. Understanding the interactions between the heart, aorta, and brain is a key step towards detecting and treating both heart disease (i.e., heart failure) and brain diseases (i.e., dementia). The goal of this CAREER project is to understand how the heart and the brain impact each other so that easy-to-use and cheap heart-brain monitoring devices can be developed for underserved communities. The educational part of this CAREER project is based on the “See One, Do One, Teach One” philosophy to encourage health monitoring and preventive medicine in low-income families. In addition, this CAREER award will generate a database that will benefit researchers in other fields such as artificial intelligence (AI) in medicine. Heart failure (HF) is a condition characterized by the inability of the heart to circulate blood in the vascular network. Epidemiological studies have shown that simply being a member of a socioeconomically disadvantaged community is an independent risk factor for both incident HF as well as increased hospital readmission for HF. Additionally, reducing the risk for the development of dementia is of the utmost importance due to the absence of effective treatments. As is the case with HF, lower socioeconomic status translates to higher prevalence of dementia. Understanding the complex fluid dynamic coupling (hemodynamic interactions) between the heart, aorta, and brain is a crucial step towards diagnostics and therapeutics of not only HF and dementia, but also other related diseases. The general hypothesis of this proposal is that wave dynamics in the aorta dominate the pulsatile hemodynamics of the heart, the brain, and the nonlinear interaction between the two. The investigator’s main goal is to elucidate systems-level effects of aortic hemodynamics on heart-brain interactions. In order to achieve this goal, the investigator will combine state-of-the-art experimentation, cutting-edge numerical simulation, and novel hybrid physics-informed machine learning approaches. Ultimately, the outcome of this research will facilitate improved understanding of the pathophysiological pathways in highly complex diseases such as HF, Alzheimer’s, and dementia. The long-term goal of this CAREER project is to develop diagnostic and monitoring devices for heart diseases and vascular brain damage. This project is jointly funded by the Engineering of Biomedical Systems and Fluid Dynamics programs of the Division of Chemical, Bioengineering, Environmental, and Transport Systems in the Engineering Directorate and by the Mathematical Biology program of the Division of Mathematical Sciences in the Mathematical and Physical Sciences Directorate.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.

人体的工作原理是基于心脏、主动脉（从心脏延伸的最大血管）和其他主要器官（如大脑）之间的血流动态的微妙平衡。了解心脏、主动脉和大脑之间的相互作用是检测和治疗心脏病（即，心力衰竭）和脑疾病（即，痴呆症）。这个CAREER项目的目标是了解心脏和大脑如何相互影响，以便为服务不足的社区开发易于使用和廉价的心脑监测设备。这个职业项目的教育部分是基于“看一个，做一个，教一个”的理念，以鼓励低收入家庭的健康监测和预防医学。此外，该CAREER奖将产生一个数据库，使其他领域的研究人员受益，如医学中的人工智能（AI）。心力衰竭（HF）是一种以心脏无法在血管网络中循环血液为特征的病症。流行病学研究表明，仅仅作为社会经济弱势群体的一员，是HF事件和HF再入院率增加的独立风险因素。此外，由于缺乏有效的治疗方法，降低患痴呆症的风险至关重要。与HF的情况一样，较低的社会经济地位意味着痴呆的患病率较高。了解心脏、主动脉和大脑之间复杂的流体动力学耦合（血液动力学相互作用）是诊断和治疗HF和痴呆以及其他相关疾病的关键一步。该建议的一般假设是，主动脉中的波动动力学支配心脏、大脑的脉动血液动力学以及两者之间的非线性相互作用。研究者的主要目标是阐明主动脉血流动力学对心脑相互作用的系统水平影响。为了实现这一目标，研究人员将联合收割机结合最先进的实验，尖端的数值模拟和新颖的混合物理机器学习方法。最终，这项研究的结果将有助于提高对高度复杂疾病（如HF，阿尔茨海默氏症和痴呆症）的病理生理学途径的理解。这个CAREER项目的长期目标是开发心脏病和血管性脑损伤的诊断和监测设备。该项目由化学，生物工程，环境，生物医学工程和流体动力学部门的工程项目共同资助，该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的评估来支持的。知识价值和更广泛的影响审查标准。