A mathematical model of microvascular remodeling: Endothelial dysfunction in obes

微血管重塑的数学模型：肥胖的内皮功能障碍

• 批准号: 8036749
• 负责人: John Bruce Geddes
• 金额: $ 27.3万
• 依托单位: FRANKLIN W. OLIN COLLEGE OF ENGINEERING
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-12-06 至 2014-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8036749
• 关键词: Affect; Automobile Driving; Biochemical; Biological; Biology; Blood Vessels; Cardiovascular system; Cells; Clinical; Complex; Data; Development; Diabetes Mellitus; Disease; Endothelial Cells; Endothelium; Equilibrium; Event; Exercise; Functional disorder; Future; Goals; Hypertension; Intervention; Ischemia; Knowledge; Lead; Link; Metabolic; Metabolic stress; Modeling; Molecular; Morbidity - disease rate; Obesity; Organ; Physiological; Play; Process; Psyche structure; Role; Solutions; Stimulus; Study models; Systems Theory; Techniques; Testing; Tissues; Validation; Vascular remodeling; Vascularization; Work; base; effective intervention; hemodynamics; in vivo; insight; mathematical model; models and simulation; mortality; research study; response; shear stress; simulation; tool; tumor; ward

DESCRIPTION (provided by applicant): Obesity, diabetes, and hypertension affect millions of people and are associated with cardiovascular mor- bidity and mortality. While blood vessel remodeling occurs under healthy conditions, and is modulated by cellular responses to hemodynamic and biochemical stimuli, this responsiveness to stimuli is reduced in many diseases. In fact, pathological structural remodeling of small blood vessels has emerged as a key contributor to the effect of these diseases, including driving high blood pressure, organ damage, and tis- sue ischemia. In particular, the abberrant remodeling of blood vessels observed in disease states is likely driven by the loss of normal function in endothelial cells, which are responsible for sensing hemodynamic and metabolic changes. Over the last decade, Pries, Secomb, and colleagues have developed a dynamic model of microvascular remodeling that is conceptually simple, yet based on biologically observed stimuli such as wall shear stress, circumferential stress, and metabolic demand. This elegant model captures key aspects of vascular remodeling by healthy vessels and has provided biological insight about the role of certain previously less appreciated factors influencing remodeling. We will mathematically model the effect of endothelial dysfunction on microvascular remodeling in obesity, diabetes, and hypertension, using the Pries-Secomb model as a basis. To do this, we will use a cellular-level biological understanding of endothelial dysfunc- tion in obesity, diabetes, and hypertension to guide development of mathematical descriptions of changes in endothelial function. These will be incorporated into the existing framework of the Pries-Secomb model for validation against experimental results. In this work, we will move between consideration of single vessel models, which allow thorough mathematical analysis of equilibrium solutions and remodeling dy- namics, and numerical simulation of small or large networks, which may capture more physiologically relevant phenomena. Multiple approaches will help to maximize our understanding of mathematical modeling results and how they capture experimental observations of microvascular remodeling. The overall goal of this work is to create a deeper link between mathematical modeling and experimental work in order to gain insight into the underlying biology of various disease states in order to work to- wards more effective interventions to treat diseases. PUBLIC HEALTH RELEVANCE: Changes in blood vessel remodeling that occur in prevalent diseases such as obesity, diabetes, and hy- pertension are thought to cause some of the morbidity associated with these diseases including organ damage and tissue ischemia. The proposed work aims to use experimentally-motivated, mathematical models of vessel remodeling to gain understanding of this process that would be difficult to obtain exper- imentally. Increasing our knowledge about the remodeling process will ultimately lead to more effective clinical interventions.

描述（由申请人提供）：肥胖、糖尿病和高血压影响数百万人，并与心血管莫尔和死亡率相关。虽然血管重塑在健康条件下发生，并且通过对血液动力学和生化刺激的细胞反应来调节，但在许多疾病中，对刺激的这种反应性降低。事实上，小血管的病理性结构重塑已经成为这些疾病的影响的关键因素，包括驱动高血压、器官损伤和组织缺血。特别是，在疾病状态下观察到的血管异常重塑可能是由内皮细胞正常功能的丧失所驱动的，内皮细胞负责感知血液动力学和代谢变化。在过去的十年中，Pries，Secomb和同事们开发了一个概念简单的微血管重塑的动态模型，但基于生物学观察到的刺激，如壁切应力，周向应力和代谢需求。这个优雅的模型捕捉了健康血管的血管重塑的关键方面，并提供了关于某些以前不太受重视的影响重塑的因素的作用的生物学见解。我们将使用Pries-Secomb模型作为基础，对肥胖、糖尿病和高血压患者中内皮功能障碍对微血管重塑的影响进行数学建模。为此，我们将使用肥胖、糖尿病和高血压中内皮功能障碍的细胞水平生物学理解来指导内皮功能变化的数学描述的发展。这些将被纳入现有的普里斯-塞科姆模型的框架，对实验结果进行验证。在这项工作中，我们将考虑单血管模型，它允许对平衡解和重塑动力学进行彻底的数学分析，以及对小型或大型网络进行数值模拟，这可能会捕获更多的生理相关现象。多种方法将有助于最大限度地提高我们对数学建模结果的理解，以及它们如何捕捉微血管重塑的实验观察结果。这项工作的总体目标是在数学建模和实验工作之间建立更深层次的联系，以便深入了解各种疾病状态的潜在生物学，从而致力于更有效的干预措施来治疗疾病。 公共卫生相关性：在诸如肥胖症、糖尿病和高血压的流行疾病中发生的血管重塑的变化被认为引起与这些疾病相关的一些发病率，包括器官损伤和组织缺血。所提出的工作旨在使用实验驱动的血管重塑数学模型来理解这一难以通过实验获得的过程。增加我们对重塑过程的了解将最终导致更有效的临床干预。