Understanding the molecular mechanisms of Depression and Psychological Well-being in Alzheimer's disease

心理健康(PWB)和抑郁是影响阿尔茨海默氏症风险的重要因素 阿尔茨海默病(AD)，一种记忆和认知的进行性侵蚀的疾病。具体地说，抑郁症 与AD痴呆风险增加有关，而PWB在控制 抑郁症。然而，这些重要联系背后的分子机制尚不清楚，而且 这项提案的重点。根据我们和其他人的研究中出现的证据，我们假设 关键microRNAs(MiRNAs)的表达改变有助于抑郁症和PWB对AD风险的影响。 为了验证这一假设，我们建议研究一个独特的数据集，该数据集包含850个人类死后大脑 快速记忆和老龄化项目(MAP)。这项前瞻性的纵向研究每年收集关于 抑郁症、PWB、认知、身体健康和痴呆，以及基因组、转录组和蛋白质组数据 来自背外侧前额叶皮质(DPFC)。我们提出了一个分两个阶段的遗传学研究来确定关键的miRNAs， 转录本和与抑郁相关的蛋白质，以及分别与pwb相关的蛋白质，并检查它们之间的关系 认知改变、阿尔茨海默病和痴呆症相关的病理。我们的发现数据集将是600 MAP样本和复制集将得到250个MAP样本，随后对全部850个样本进行联合分析。 在目标1中，我们建议通过以下方式分别识别抑郁症和pWB特异的miRNAs 全基因组miRNA表达分析。然后，我们将确定这些miRNAs如何与AD关联 表型(即认知减退率、痴呆症的临床诊断和痴呆症相关病理)。 我们预计将发现与抑郁症和AD显著相关的miRNAs(称为Dep-AD- MiRNAs)，以及PWB和AD(PWB-AD-miRNAs)。在目标2中，我们检查目标的转录水平 AD表型中的Dep-AD-miRNAs和Pwb-AD-miRNAs。我们假设这些基因的mRNA水平 目标将与AD表型相关联。此外，我们还将对以下内容进行共表达网络分析 现有的转录本用于识别抑郁症和pWB的表达模块和关键表达驱动因素， 分开的。然后，我们将测试这些关键表达式驱动因素是否与AD表型相关。在目标3中，我们 将检测AD中Dep-AD-miRNAs和PWB-AD-miRNAs下游靶标的蛋白质水平 表型。我们还测试了来自Aim 2的重要转录本的蛋白质水平是否与 AD表型。最后，我们将对现有的全球蛋白质组进行网络分析，以确定新的 分别研究抑郁症和PWB的蛋白质组驱动因素，并研究它们与AD表型的关系。 该项目可能会确定AD痴呆的重要分子贡献者，而这些分子可能不是 通过其他方法明显，导致对AD和AD的机制和治疗目标的新见解 从而对公共卫生产生重要和持久的影响。

Psychological well-being (PWB) and depression are important factors that modify risk for Alzheimer's disease (AD), a disorder of progressive erosion of memory and cognition. Specifically, depression is associated with increased risk for AD dementia while PWB with decreased risk for AD after controlling for depression. Molecular mechanisms underlying these important associations, however, are not known and are the focus of this proposal. Based on emerging evidence from our studies and others', we hypothesize that altered expression of key microRNAs (miRNAs) contribute to the effects of depression and PWB on AD risk. To test this hypothesis we propose to study a unique dataset of 850 human postmortem brains from the Rush Memory and Aging Project (MAP). This prospective longitudinal study annually collects data on depression, PWB, cognition, physical health, and dementia, and genomic, transcriptomic, and proteomic data from the dorsolateral prefrontal cortex (dPFC). We propose a 2-stage genetic study to identify key miRNAs, transcripts, and proteins associated with depression, and separately with PWB, and examine how they relate to cognitive change, AD dementia, and dementia-related pathologies. Our discovery dataset will be the 600 MAP samples and replication set will be 250 MAP samples, followed by a joint analysis of all 850. In Aim 1 we propose to identify miRNAs specific to depression and PWB, respectively, through genome-wide miRNA expression analyses. We will then determine how these miRNAs are associated with AD phenotypes (i.e. rate of cognitive decline, clinical diagnosis of dementia, and dementia-related pathologies). We anticipate identifying miRNAs significantly associated with both depression and AD (referred to as Dep-AD- miRNAs), and to both PWB and AD (PWB-AD-miRNAs). In Aim 2, we examine transcript levels of the targets of the Dep-AD-miRNAs and PWB-AD-miRNAs in AD phenotypes. We hypothesize that mRNA levels of these targets will be associated with AD phenotypes. Additionally, we will perform co-expression network analysis on existing transcriptomes to identify expression modules and key expression drivers for depression and PWB, separately. We will then test if these key expression drivers are associated with AD phenotypes. In Aim 3, we will examine protein levels of the downstream targets of the Dep-AD-miRNAs and PWB-AD-miRNAs in AD phenotypes. We also test whether protein levels of the significant transcripts from Aim 2 are associated with AD phenotypes. Lastly, we will perform network analysis on existing global proteomes to identify novel proteomic drivers for depression and PWB, respectively, and examine their association with AD phenotypes. This project can potentially identify important molecular contributors of AD dementia that might not be apparent through other approaches, leading to new insights into mechanisms and treatment targets for AD and thereby have an important and sustained impact on public health.