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A molecular phenotype of combined pulmonary hypertension

A molecular phenotype of combined pulmonary hypertension
合并性肺动脉高压的分子表型
批准号:
8796005
负责人:
Anna R Hemnes
金额:
$23.55万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-17 至 2019-07-31

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中文摘要
翻译
描述(由申请人提供):肺动脉高压(PH)是描述肺动脉(PA)压力升高的非特异性术语。一般来说,PH可能是由左房压升高、肺动脉流量增加和真正的肺血管病理引起的。然而,PH本体论中最令人烦恼的问题之一是,在患有已知肺部和心脏疾病的患者中,压力似乎过高。目前这些患者的描述词包括2013年世界PH研讨会上的“不成比例”PH和“合并”疾病。我们的应用侧重于C-PH患者在左房压升高的背景下,PH高于纯被动机制的预期。由于C-PH的定义非常模糊,因此对这种表型几乎一无所知。C-PH常见于左心舒张期和收缩期功能不全的患者,并且与这些患者的预后较差有关,但我们目前缺乏针对C-PH的特异性治疗方法。本课组发表了《肺动脉高压(肺动脉重塑所致,PAH)与II组PH(左房高压所致被动肺动脉高压)的鉴别》,并对PH与左房高压不成比例的患者进行了研究。此外,我们在动物模型和受影响的患者中确定了代谢综合征与PH的关联。我们已经开发了一个用于PH患者临床和研究表型的基础设施,包括一个大型生物库,我们已经使用该生物库与其他团队合作来识别与遗传性肺血管疾病相关的遗传变异。我们现在假设遗传变异和代谢特征有助于与左心房高血压相关的C-PH的发展,并且可以用来定义内表型和动态识别可能对靶向治疗有反应的PH患者亚群。我们的建议包括三个具体目标来验证这一假设。首先,我们将对C-PH进行生理和临床表型分析,以证明与II组PH不同的固定肺血管疾病的存在。其次,我们将使用全外显子组测序、转录组和代谢组数据进行正向和反向表型分析,以定义PAH、II组PH和C-PH的分子分类。我们将使用BioVu来确认我们的发现,BioVu是范德比尔特大学的DNA数据库,包含了未识别的患者信息。第三,我们将对C-PH患者进行动态表型分析,以确定那些可能对pah定向治疗有反应的患者。在这些研究的结论中,我们将确定C-PH的共同遗传和代谢特征,并使用动态表型来识别可能对pah定向治疗有反应的C-PH患者。这些研究将形成一个构建所有PH的分子分类的结构,并证明某些分子定义的表型可以在治疗前识别并指导最佳治疗。
英文摘要
DESCRIPTION (provided by applicant): Pulmonary hypertension (PH) is a non-specific term to describe elevation in pulmonary artery (PA) pressure. Broadly, PH may be caused by elevations in left atrial pressure, increased flow through the PA and true pulmonary vascular pathology. Yet one of the most vexing problems in the ontology of PH is the presence of pressures that seem excessively high in patients with known lung and heart diseases. The current descriptors of these patients include "out of proportion" PH and "combined" disease from the World Symposium on PH in 2013. Our application focuses on patients with C-PH in the context of elevated left atrial pressure with PH that is greater than would be expected by purely passive mechanisms. Because C-PH is so poorly defined, almost nothing is known about this phenotype. C-PH is commonly found in patients with diastolic and systolic left heart dysfunction and has been associated with worse prognosis in these conditions, but we presently lack any specific therapy for C-PH. Our group has published on the differentiation of pulmonary arterial hypertension (due to pulmonary arterial remodeling, PAH) from Group II PH (passive pulmonary hypertension due to left atrial hypertension) and has studied patients with PH out of proportion to left atrial hypertension. Further we have identified metabolic syndrome associations with PH in animal models and affected patients. We have developed an infrastructure for PH patient clinical and research phenotyping including a large biobank that we have used to identify genetic variants associated with heritable pulmonary vascular disease collaboratively with other groups. We now hypothesize that genetic variants and metabolic traits contribute to development of C-PH associated with left atrial hypertension and can be exploited to define endophenotypes and dynamically identify subsets of PH patients that are likely to respond to targeted therapeutics. Our proposal includes three specific aims to test this hypothesis. First we will physiologically and clinically phenotype C-PH to demonstrate the presence of fixed pulmonary vascular disease unlike Group II PH. Second we will use forward and reverse phenotyping with whole exome sequencing, transcriptomic and metabolomic data to define a molecular classification of PAH, Group II PH and C-PH. We will confirm our findings using BioVu, a Vanderbilt DNA databank with deidentified patient information. Third, we will dynamically phenotype C-PH patients to identify those likely to respond to PAH-directed therapy. At the conclusion of these studies we will have identified common genetic and metabolic features of C-PH and used dynamic phenotyping to recognize C-PH patients likely to respond to PAH-directed therapy. These studies will form a construct for building a molecular classification of all PH and proof of concept that certain molecularly- defined phenotypes can be identified prior to treatment and guide optimal therapy.
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