Anatomic mechanisms of resilience and genetic susceptibility in TDP-related disorders

TDP 相关疾病的恢复力和遗传易感性的解剖学机制

• 批准号: 10454274
• 负责人: Lauren M Massimo
• 金额: $ 27.83万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10454274
• 关键词: Aging; Anatomy; Atrophic; Behavioral; Biological; Brain; Brain region; Cells; Cerebrovascular Circulation; Cerebrum; Clinical; Clinical Management; Clinical Trials; Cognitive; Complex; Data; Disease; Disease Progression; Education; Emotional disorder; Family; Functional Magnetic Resonance Imaging; Gene Frequency; Genes; Genetic; Genetic Determinism; Genetic Predisposition to Disease; Genetic Variation; Goals; Graph; Heterogeneity; Histopathology; Image; Impaired cognition; Impairment; Individual; Knowledge; Leisure Activities; Life Expectancy; Life Style; Link; Magnetic Resonance Imaging; Measures; Modeling; Moderate Activity; Neurodegenerative Disorders; Neurons; Occupational; Occupations; Pathologic; Pathology; Patients; Performance; Personality; Phase; Play; Property; Psyche structure; Resources; Risk; Role; Single Nucleotide Polymorphism; Source; Specificity; Syndrome; Variant; Work; arterial spin labeling; behavioral variant frontotemporal dementia; burden of illness; clinical diagnosis; clinical predictors; cognitive reserve; cohort; density; emotion regulation; executive function; flexibility; frontotemporal degeneration; gray matter; lifestyle factors; network models; neural network; novel; predictive modeling; prognostic; protein TDP-43; relating to nervous system; resilience; risk variant; support network; tau Proteins; white matter

Project Summary Behavioral variant frontotemporal degeneration (bvFTD) is a common cause of young-onset neurodegenerative disease and life expectancy is approximately 7 years, but this is highly variable. Recent work associates change in cognitive and MRI imaging with pathologic phases of accumulating FTLD-TDP and FTLD-Tau pathology. However, major gaps in knowledge concern the tremendous variability in the rate of clinical progression in bvFTD, and the factors contributing to this variability. Studies have demonstrated that lifestyle factors moderate the rate of clinical progression in neurodegenerative disease. This is attributed to cognitive reserve, a form of resilience where cognitive strategies help support brain functioning in the face of relentlessly accumulating pathology and thus modulate the rate of longitudinal decline. For example, neuroanatomic factors may also play a role in neural implementation of compensatory function, such as supporting alternate brain networks for optimal performance. Genetic factors associated with single nucleotide polymorphisms (SNPs) also may impact the variable rate of decline in bvFTD by selectively increasing anatomic network vulnerability to disease burden. The overall aim of this proposal is to better understand how lifestyle and genetic factors impact neural networks to influence the rate of longitudinal decline. In Aim 1, we will examine education, occupation and leisure activities that moderate the rate of longitudinal decline on cognitive and functional measures. We will relate this to MRI of gray matter (GM) and white matter (WM) using powerful graph theoretic analyses that examine key metrics of network connectivity and elucidate the neuroanatomic basis of resilience. Aim 2 will use arterial spin labeling to enhance models of network connectivity that predict the rate of longitudinal clinical decline, and expect to find key connectomic properties of frontal networks related to cerebral blood flow that contribute to resilience in bvFTD. In Aim 3, we will examine hypothesis-driven SNPs that may moderate the rate of clinical decline and relate SNP variation to anatomic regions in connectomic networks. This unique combination of lifestyle, genetic and imaging factors will lead to novel predictive models of clinical disease progression that are critical for clinical management and clinical trial endpoints, while providing important prognostic data for patients and families. !

项目摘要 行为变体额颞变性（BVFTD）是年轻发病的常见原因 神经退行性疾病和预期寿命约7年，但这是高度可变的。最近的 工作人员在认知和MRI成像中随着累积FTLD-TDP和 FTLD-TAU病理学。但是，知识的主要差距涉及率的巨大变化 BVFTD的临床进展以及导致这种变异性的因素。研究表明 生活方式因素适应神经退行性疾病的临床进展率。这归因于 认知储备，一种弹性形式，认知策略有助于面对面对大脑的功能 不懈地积累病理学，从而调节纵向下降的速度。例如， 神经解剖因素也可能在补偿功能的神经实施中起作用，例如 支持替代大脑网络以获得最佳性能。与单核苷酸相关的遗传因素 多态性（SNP）也可能通过选择性增加而影响BVFTD的可变率 解剖网络对疾病负担的脆弱性。该提案的总体目的是更好地了解 生活方式和遗传因素会影响神经网络影响纵向下降的速度。在AIM 1中，我们 将检查教育，职业和休闲活动，以减少纵向下降的速度 认知和功能措施。我们将使用灰质（GM）和白质（WM）的MRI将其联系起来 强大的图理论分析，检查网络连接的关键指标并阐明 弹性的神经解剖学基础。 AIM 2将使用动脉自旋标记来增强网络模型 预测纵向临床下降速度的连通性，并期望找到关键的连接特性 与脑血流有关的额叶网络有助于BVFTD的弹性。在AIM 3中，我们将 检查以假设驱动的SNP，可能调节临床下降速率并将SNP变化与 连接网络中的解剖区域。这种生活方式，遗传和成像因素的独特组合 将导致临床疾病进展的新型预测模型，这对于临床管理至关重要 临床试验终点，同时为患者和家庭提供重要的预后数据。 呢