Dissecting Heart Failure mechanisms by integrating in vivo and in vitro data within customised in silico models
Dissecting Heart Failure mechanisms by integrating in vivo and in vitro data within customised in silico models
批准号:
G0800980/1
负责人:
Nicolas Smith
金额:
$44.86万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2008
资助国家:
英国
项目状态:
已结题
起止时间:
2008 至 --
中文摘要
心力衰竭(HF)的定义是:由于左心室收缩和舒张功能下降,泵血能力下降。随着心脏病患者存活率的提高和英国的扩张?在老年人群中,心衰正迅速成为一种流行病,造成严重的死亡率和发病率负担。最近,新的实验技术的力量为心衰临床综合征的机制之谜提供了一些新的线索。然而,尽管做出了这些努力,我们对这一重要过程的了解仍然是碎片化的,阻碍了对治疗干预的有力靶点的确定。计算心脏生理学学科提供了一种令人兴奋的方法,通过使用数学和计算模型定量描述心脏的生理行为来解决这一问题。这些模型的发展表现出捕捉复杂和多因素因果关系的能力,这些因果关系联系着潜在的病理生理机制。此外,心脏可以说是一个综合模型的最先进的例子,因此它代表了一个令人兴奋的工具,在心衰的情况下,它可以集中在一个重要的疾病上。将这种计算技术与最先进的体内和体外实验技术相结合,我们的目标是吸收多个数据集,以在一致的模型中测试我们对HF机制的理解。我们的初步实验测量表明,在心力衰竭中,单个心肌细胞可能继续正常收缩,然而,这是它们在心脏组织中连接方式的变化,这可能对收缩产生不利影响。应用我们的综合实验和计算方法,我们将能够验证这一假设,并在这样做的过程中,为这种疾病的新治疗策略的发展指明了一个潜在的全新方向。
英文摘要
Heart Failure (HF) is defined by the heart?s reduced ability to pump blood due to a drop in left ventricular (LV) systolic and diastolic function. With the improved survival after a heart attack and the expansion of the U.K.?s elderly population, HF is rapidly becoming an epidemic accounting for a significant mortality and morbidity burden. Recently, the strength of new experimental techniques has contributed several new pieces to the mechanistic puzzle that underpins the clinical syndrome of HF. Despite these efforts, however, our knowledge of this important process remains fragmented, hampering the identification of robust targets for therapeutic intervention. The discipline of computational cardiac physiology offers an exciting approach to address this issue by quantitatively describing the physiological behavior of the heart using mathematical and computational models. The development of such models presents the ability capture the complex and multi-factorial cause and effect relationships which link underlying patho-physiological mechanisms. Furthermore, the heart is arguable the most advanced example of an integrated model and as such represents exciting tool with which to focus, in the case of HF, on an important disease.Combining this computational technology with state of the art in-vivo and in-vitro experimental techniques we aim to assimilate multiple data sets to test our understanding of HF mechanisms within a consistent model. Our preliminary experimental measurements indicate that in HF individual cardiac cells may continue to contract normally, however, it is a change in the way they are connected in heart tissue which may be adversely affecting contraction. Applying our integrated experimental and computational approach we will be able to test this hypothesis and in doing so indicate a potentially brand new direction for the development of new treatment strategies for this disease.
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会议论文
Computer to Clinic: Personalised Fluid-Mechanical Models Applied to Heart Failure
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批准号:EP/G007527/2
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项目类别:Fellowship
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资助金额:$0.0万
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财政年份:2010
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负责人:Nicolas Smith
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依托单位:
Modelling the cellular cardiac neural axis in the control of excitability
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批准号:BB/F01080X/1
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项目类别:Research Grant
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资助金额:$39.07万
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财政年份:2008
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负责人:Nicolas Smith
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依托单位:
Grand Challenge: Translating Biomedical Modelling into the Heart of the Clinic
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批准号:EP/F059361/1
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项目类别:Research Grant
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资助金额:$22.33万
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财政年份:2008
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负责人:Nicolas Smith
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依托单位:
Computer to Clinic: Personalised Fluid-Mechanical Models Applied to Heart Failure
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批准号:EP/G007527/1
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项目类别:Fellowship
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资助金额:$109.08万
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财政年份:2008
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负责人:Nicolas Smith
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依托单位:
国内基金
海外基金
e-Heart仿真平台及关键技术研究
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批准号:60571025
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项目类别:面上项目
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资助金额:24.0万元
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批准年份:2005
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负责人:王宽全
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依托单位: