Institute for Research in Biomedicine, Joint IRB-BSC Program in Computational Biology, 08028 Barcelona, Spain.
Genome Res. 2011 Mar;21(3):364-76. doi: 10.1101/gr.114280.110. Epub 2010 Dec 16.
Recent advances toward the characterization of Alzheimer's disease (AD) have permitted the identification of a dozen of genetic risk factors, although many more remain undiscovered. In parallel, works in the field of network biology have shown a strong link between protein connectivity and disease. In this manuscript, we demonstrate that AD-related genes are indeed highly interconnected and, based on this observation, we set up an interaction discovery strategy to unveil novel AD causative and susceptibility genes. In total, we report 200 high-confidence protein-protein interactions between eight confirmed AD-related genes and 66 candidates. Of these, 31 are located in chromosomal regions containing susceptibility loci related to the etiology of late-onset AD, and 17 show dysregulated expression patterns in AD patients, which makes them very good candidates for further functional studies. Interestingly, we also identified four novel direct interactions among well-characterized AD causative/susceptibility genes (i.e., APP, A2M, APOE, PSEN1, and PSEN2), which support the suggested link between plaque formation and inflammatory processes and provide insights into the intracellular regulation of APP cleavage. Finally, we contextualize the discovered relationships, integrating them with all the interaction data reported in the literature, building the most complete interactome associated to AD. This general view facilitates the analyses of global properties of the network, such as its functional modularity, and triggers many hypotheses on the molecular mechanisms implicated in AD. For instance, our analyses suggest a putative role for PDCD4 as a neuronal death regulator and ECSIT as a molecular link between oxidative stress, inflammation, and mitochondrial dysfunction in AD.
近年来,对阿尔茨海默病(AD)的特征研究取得了进展,已经确定了十几个遗传风险因素,尽管还有许多尚未发现。与此同时,网络生物学领域的研究表明,蛋白质的连通性与疾病之间存在很强的联系。在本文中,我们证明了 AD 相关基因确实高度相互关联,并基于这一观察结果,我们建立了一种相互作用发现策略,以揭示新的 AD 致病和易感基因。总的来说,我们报告了 8 个已确认的 AD 相关基因和 66 个候选基因之间的 200 个高可信度的蛋白质-蛋白质相互作用。其中,31 个位于包含与晚发性 AD 发病机制相关的易感基因座的染色体区域,17 个在 AD 患者中表现出失调的表达模式,这使它们成为进一步功能研究的很好候选基因。有趣的是,我们还在四个经过充分研究的 AD 致病/易感基因(即 APP、A2M、APOE 和 PSEN1、PSEN2)之间发现了四个新的直接相互作用,这支持了斑块形成和炎症过程之间的联系,并提供了对 APP 切割的细胞内调节的深入了解。最后,我们将发现的关系置于上下文中,将其与文献中报道的所有相互作用数据整合在一起,构建了与 AD 相关的最完整的相互作用组。这种整体视角有助于分析网络的全局特性,例如其功能模块性,并引发了许多关于 AD 中涉及的分子机制的假说。例如,我们的分析表明 PDCD4 可能作为神经元死亡调节剂,ECSIT 作为 AD 中氧化应激、炎症和线粒体功能障碍之间的分子联系。