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Modeling of Pathological Traits in Alzheimers Disease Based on Systemic Extracellular Signaling Proteome

机译:基于系统性细胞外信号传导蛋白质组的阿尔茨海默氏病病理特征建模

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摘要

The study of chronic brain diseases including Alzheimer's disease in patients is typically limited to brain imaging or psychometric testing. Given the epidemic rise and insufficient knowledge about pathological pathways in sporadic Alzheimer's disease, new tools are required to identify the molecular changes underlying this disease. We hypothesize that levels of specific secreted cellular signaling proteins in cerebrospinal fluid or plasma correlate with pathological changes in the Alzheimer's disease brain and can thus be used to discover signaling pathways altered in the disease. Here we measured 91 proteins of this subset of the cellular communication proteome in plasma or cerebrospinal fluid in patients with Alzheimer's disease and cognitively normal controls to mathematically model disease-specific molecular traits. We found small numbers of signaling proteins that were able to model key pathological markers of Alzheimer's disease, including levels of cerebrospinal fluid β-amyloid and tau, and classify disease in independent samples. Several of these factors had previously been implicated in Alzheimer's disease supporting the validity of our approach. Our study also points to proteins which were previously unknown to be associated with Alzheimer's disease thereby implicating novel signaling pathways in this disorder.
机译:对患者的包括阿尔茨海默氏病在内的慢性脑疾病的研究通常仅限于脑成像或心理测验。考虑到流行病的增加以及对散发性阿尔茨海默氏病的病理途径的了解不足,需要新的工具来鉴定这种疾病的分子变化。我们假设脑脊髓液或血浆中特定分泌的细胞信号蛋白的水平与阿尔茨海默氏病大脑中的病理变化相关,因此可以用来发现该疾病中改变的信号通路。在这里,我们测量了阿尔茨海默氏病患者和认知正常对照中血浆或脑脊液中细胞通讯蛋白质组这一子集的91种蛋白质,以数学方式模拟疾病特异性分子特征。我们发现少量的信号蛋白能够模拟阿尔茨海默氏病的关键病理标志物,包括脑脊髓液β-淀粉样蛋白和tau的水平,并在独立样本中对疾病进行分类。这些因素中的一些先前已被证明与阿尔茨海默氏病有关,从而支持了我们方法的有效性。我们的研究还指出了以前未知与阿尔茨海默氏病相关的蛋白质,从而暗示了这种疾病的新信号传导途径。

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