The Phathophenotype Landscape of Complex Disease

描述(申请人提供)：自19世纪以来，人类疾病在很大程度上被定义为器官系统，在其中最明显的表现，通常是在末期。生物医学界现在认识到，许多不同的疾病都有共同的机制和共同的中间病理表型(如炎症、血栓形成、细胞凋亡和纤维化)。根据疾病发病机制的这一观点，疾病表达的部位可能被视为局部环境以及中间病理表型决定因素在该环境中差异表达的结果。因此，我们提出了一个中心假设，即不同的复杂疾病是由共同中间病理表型的共同网络相关决定因素控制的，这些复杂疾病彼此之间的区别是中间病理表型之间的平衡，以及它们表达的分子背景。为了验证这一假设，我们将通过三个跨学科的特定目标，关注三种不同的疾病--急性心肌梗死、静脉血栓栓塞症和急性缺血性中风--以及两种中间病理表型--炎症和血栓形成。首先，我们将开发控制炎症和血栓形成的途径的网络模型。与此同时，我们将利用两个大型的基于群体的全基因组扫描来进行结构化的基因分析，以确定与不同疾病相关的炎症和血栓途径的成分。通过将这种遗传分析与网络模型相结合，我们将开始构建这些疾病常见的“炎症体”和“血栓体”元素以及将它们彼此区分开来的元素的子网络图。其次，使用抗炎药瑞舒伐他汀和抗血栓药阿司匹林在最初健康的个体中试验得出的数据集，我们将检验由基因状态决定的炎症体和血栓体的治疗性扰动对每种疾病发病率的影响。我们还将利用这三种疾病共同和独特的炎症体和血栓体的关键分子介质，利用相关的细胞系统和动物模型进行相关的迭代机制研究。第三，我们将整合炎症和血栓形成的网络模型，以开发这些疾病表现的预测性、概率性和多变量模型。相关性(见说明)：综合起来，这些关注三种常见慢性病的互补跨学科方法应该提供关于以机械和分子严格方式重新定义这些疾病的信息和潜在战略。如果这种方法成功，它将为生物医学界提供重新定义许多复杂的人类疾病的机会，导致潜在的新的治疗和预防策略，并促进真正个性化(个性化)医学的发展。(摘要结束)

DESCRIPTION (provided by applicant): Since the 19th century, human diseases have largely been defined by the organ system in which they are most obviously manifest, and often so at end-stage. The biomedical community now recognizes that many different diseases have common mechanisms and common intermediate pathophenotypes (e.g., inflammation, thrombosis, apoptosis, and fibrosis). Based on this perspective of disease pathogenesis, the site of disease expression may be viewed a consequence of the local environment and of the differential expression of determinants of the intermediate pathophenotype in that environment. We, therefore, propose as a central hypothesis that different complex diseases are governed by common network- associated determinants of common intermediate pathophenotypes, and that what differentiates these complex diseases from one another is the balance among the intermediate pathophenotypes, and the molecular context within which they are expressed. To test this hypothesis, we will focus on three different diseases-acute myocardial infarction, venous thromboembolism, and acute ischemic stroke-and two intermediate pathophenotypes-inflammation and thrombosis-via three interdisciplinary specific aims. First, we will develop network models of pathways that govern inflammation and thrombosis. Concomitantly, we will utilize two large population-based whole genome scans to perform structured genetic analysis to identify components of inflammatory and thrombotic pathways related to the different diseases. By combining this genetic analysis with network models, we will begin to construct subnetwork maps of elements of the 'inflammasome' and 'thrombosome' common to these diseases and elements that distinguish them from one another. Second, using data sets derived from trials of the anti-inflammatory agent, rosuvastatin, and the antithrombotic agent, aspirin, in initially healthy individuals, we will examine the effect of therapeutic perturbation of the inflammasome and thrombosome on the incidence of each disease as determined by gene status. We will also utilize key molecular mediators of the inflammasome and thrombosome common to and distinctive for these three diseases in correlative, iterative mechanism studies using relevant cell systems and animal models. Third, we will integrate the network models of inflammation and thrombosis to develop predictive, probabilistic, multivariate models of manifestations of these diseases. RELEVANCE (See instructions): Taken together, these complementary interdisciplinary approaches focused on three common chronic illnesses should provide information about and potential strategies for redefining these diseases in a mechanistically and molecularly rigorous way. If this approach is successful, it will afford the biomedical community the opportunity to redefine many complex human diseases, leading to potentially novel therapeutic and preventive strategies, and promoting the development of truly personalized (individualized) medicine. (End of Abstract)