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Endophenotype Network Models: Common Core of Complex Diseases

机译:内表型网络模型:复杂疾病的共同核心

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Historically, human diseases have been differentiated and categorized based on the organ system in which they primarily manifest. Recently, an alternative view is emerging that emphasizes that different diseases often have common underlying mechanisms and shared intermediate pathophenotypes, or endo(pheno)types. Within this framework, a specific disease's expression is a consequence of the interplay between the relevant endophenotypes and their local, organ-based environment. Important examples of such endophenotypes are inflammation, fibrosis, and thrombosis and their essential roles in many developing diseases. In this study, we construct endophenotype network models and explore their relation to different diseases in general and to cardiovascular diseases in particular. We identify the local neighborhoods (module) within the interconnected map of molecular components, i.e., the subnetworks of the human interactome that represent the inflammasome, thrombosome, and fibrosome. We find that these neighborhoods are highly overlapping and significantly enriched with disease-associated genes. In particular they are also enriched with differentially expressed genes linked to cardiovascular disease (risk). Finally, using proteomic data, we explore how macrophage activation contributes to our understanding of inflammatory processes and responses. The results of our analysis show that inflammatory responses initiate from within the cross-talk of the three identified endophenotypic modules.
机译:从历史上看,人类疾病是根据其主要表现的器官系统进行区分和分类的。最近,出现了另一种观点,强调不同的疾病通常具有共同的潜在机制和共同的中间病态表型或内(表型)型。在此框架内,特定疾病的表达是相关内表型与其基于局部器官的环境之间相互作用的结果。这种内表型的重要例子是炎症,纤维化和血栓形成及其在许多发展中的疾病中的重要作用。在这项研究中,我们构建了内表型网络模型,并探讨了它们与一般不同疾病尤其是心血管疾病之间的关系。我们在分子成分的相互关联的图谱中确定了局部邻域(模块),即人体相互作用组的亚网络代表了炎症小体,血栓小体和纤维小体。我们发现这些社区高度重叠,并且与疾病相关的基因显着丰富。特别是,它们还富含与心血管疾病(风险)相关的差异表达基因。最后,使用蛋白质组学数据,我们探索巨噬细胞活化如何有助于我们对炎症过程和反应的理解。我们的分析结果表明,炎症反应是从三个已确定的内表型模块的串扰中引发的。

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