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Modelling Cardiac Energy Supply during Heart Failure

Modelling Cardiac Energy Supply during Heart Failure
心力衰竭期间心脏能量供应建模
批准号:
EP/F043929/2
负责人:
Steven Niederer
金额:
$17.87万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2010
资助国家:
英国
项目状态:
已结题
起止时间:
2010 至 --

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中文摘要
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英文摘要
Heart failure is a lethal syndrome representing a common 'final pathway' for sufferers of a multitude of cardiac and respiratory diseases. 1 in 5 people will suffer from heart failure during their life time and once diagnosed ~40% of patients die within one year. Heart failure is caused by the heart's inability to perfuse the organs of the body with blood. The energy starvation hypothesis is a new model of heart failure and proposes that the reduced supply of energy is a fundamental cause of heart failure. The energy starvation hypothesis is the result of genetic studies and new experimental methodologies and provides a unifying mechanism to explain the development of cardiac contractile failure, yet the significance of compromised energy supply is debated. This project will investigate the importance of the energy starvation hypothesis by analysing the extent to which decreases in energy supply during heart failure compromise heart function. The cardiac energy supply chain (CESC) spans from the organ to the sub cellular scale. Energy supply decreases during heart failure due to the compromise of independent compounding links of the CESC at the organ, tissue and cellular scale. At the organ scale, blood flow through the arteries supplying blood to the heart decreases. At the tissue scale, oxygen and metabolite flux from the capillaries to the cells is reduced. At the cellular scale, the conversion of oxygen and metabolites to high energy molecules and the transport of these to the points of utilization are inhibited. I propose to investigate the energy supply to heart cells in the failing heart by developing a series of coupled models representing the cellular scale (metabolism, electrical activity, biochemical, contraction), tissue scale (movement of oxygen and metabolites, capillary circulation) and organ scale (blood supply to the heart, mechanics, electrical activation) components of the CESC. Changing model parameters and geometries will then allow the CESC during heart failure to be simulated. The model will be systematically validated against experimental results at each stage in model development. The final integrated multi-scale model will be used to test the energy starvation hypothesis by quantifying how the individual and integrated changes to the CESC during heart failure affect whole heart function.In order to build these models, we will use sophisticated image processing techniques to build an accurate 3D geometrical representation of the heart, arteries supplying blood to the heart and capillary network from high resolution datasets. Advanced numerical methods will be used to formulate mathematical equations for the transduction of energy within the heart. Cutting edge experimental procedures will provide key information on changes in cellular, tissue and organ structure and function during heart failure. Such combinations of mathematical modelling techniques and experimental investigations are vital for elucidating the mechanisms underlying the causes and progression of heart failure and may ultimately lead to improved treatment and prevention.
期刊论文(10)
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会议论文
An integrative biophysical model linking changes in protein function to emergent cellular phenotypes in left ventricular myocytes
将蛋白质功能的变化与左心室肌细胞中出现的细胞表型联系起来的综合生物物理模型
DOI: 10.1016/j.vascn.2016.02.026
发表时间: 2016
期刊: Journal of Pharmacological and Toxicological Methods
影响因子: 1.9
作者: [Fernandez-Chas M]
通讯作者: Fernandez-Chas M
DOI: 10.1371/journal.pcbi.1004376
发表时间: 2015-08
期刊: PLoS computational biology
影响因子: 4.3
作者: [Land S, Niederer SA]
通讯作者: Niederer SA
Computational models of doxorubicin mitochondria cardiotoxicity
阿霉素线粒体心脏毒性的计算模型
DOI: 10.1016/j.vascn.2016.02.049
发表时间: 2016
期刊: Journal of Pharmacological and Toxicological Methods
影响因子: 1.9
作者: [De Oliveira B]
通讯作者: De Oliveira B
DOI: 10.1371/journal.pcbi.1005214
发表时间: 2016-11
期刊: PLoS computational biology
影响因子: 4.3
作者: [de Oliveira BL, Niederer S]
通讯作者: Niederer S
Scaling Cardiac Biomechanics Digital Twins for Personalised Medicine
  • 批准号:
    EP/X012603/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $190.35万
  • 财政年份:
    2023
  • 负责人:
    Steven Niederer
  • 依托单位:
Scaling Cardiac Biomechanics Digital Twins for Personalised Medicine
  • 批准号:
    EP/X012603/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $180.27万
  • 财政年份:
    2023
  • 负责人:
    Steven Niederer
  • 依托单位:
In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation
  • 批准号:
    EP/W000091/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $155.09万
  • 财政年份:
    2023
  • 负责人:
    Steven Niederer
  • 依托单位:
In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation
  • 批准号:
    EP/W000091/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $195.49万
  • 财政年份:
    2022
  • 负责人:
    Steven Niederer
  • 依托单位:
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