Unraveling the intersection of synaptic biology, lifestyle, and cognitive resilience

揭示突触生物学、生活方式和认知弹性的交叉点

基本信息

项目摘要

PROJECT SUMMARY / ABSTRACT Brain pathology begins accumulating in early adulthood and is detectable in almost all brains by older age. Yet, there is remarkable heterogeneity in cognitive aging, and most aged adults do not evidence cognitive impairment or dementia. Uncovering the naturally occurring processes that support this cognitive resilience to neuropathology burden may yield potent targets to prevent or slow Alzheimer's disease and related dementias (ADRD). We hypothesize that maintained synaptic integrity and physical activity may represent two such protective factors. Synaptic communication is the foundational underpinning of cognition. Increasing data suggest that preserved synaptic integrity may support clinical functioning regardless of pathology presence or etiology. Further, physical activity is a highly implicated resilience behavior that has also been linked to synaptic maintenance in animals. Our goal is to determine the synaptic biology that may underlie cognitive resilience and physical activity in humans. We will collaborate across two ADRC programs to leverage their unique strengths. In the Rush Memory and Aging Project (R-MAP), brain tissue samples from autopsied adults followed in life will be used to quantify >150 synaptic protein markers (n=869). In the UCSF Memory and Aging Center (UC-MAC), cerebrospinal fluid samples from longitudinally followed living older adults will be used to quantify seven synaptic protein markers (n=200). Both cohorts complete longitudinal actigraphy monitoring as an index of physical activity levels, and comprehensive neurobehavioral assessments. Cognitive resilience will be operationalized as the discrepancy between neuropathology markers and cognitive performances. Aim one will identify the in-depth synaptic networks (R-MAP) and the longitudinal, dynamic nature (UC-MAC) between synaptic markers and cognitive resilience. Aim two will apply innovative machine learning techniques to identify precise actigraphy features that most robustly relate to in-depth synaptic networks (R-MAP), longitudinal synaptic marker changes (UC-MAC), and cognitive resilience (both). Accomplishing these aims will significantly impact the ADRD field. We are designed to carefully identify synaptic and exercise features that support sustained cognitive resilience using cutting edge measurement technologies, analytics, and exceptional collaborative expertise. This proposal represents a bridging between two national ADRCs to more powerfully address high impact questions than could be answered by either individually.
项目摘要/摘要

项目成果

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Kaitlin B Casaletto其他文献

Kaitlin B Casaletto的其他文献

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{{ truncateString('Kaitlin B Casaletto', 18)}}的其他基金

Leveraging mouse and human models to investigate neuroprotective effects of blood-derived exerkines in Alzheimer's disease
利用小鼠和人类模型研究血液来源的运动因子对阿尔茨海默病的神经保护作用
  • 批准号:
    10901031
  • 财政年份:
    2023
  • 资助金额:
    $ 86.19万
  • 项目类别:
Unraveling the intersection of synaptic biology, lifestyle, and cognitive resilience
揭示突触生物学、生活方式和认知弹性的交叉点
  • 批准号:
    10214288
  • 财政年份:
    2021
  • 资助金额:
    $ 86.19万
  • 项目类别:
Unraveling the intersection of synaptic biology, lifestyle, and cognitive resilience
揭示突触生物学、生活方式和认知弹性的交叉点
  • 批准号:
    10443614
  • 财政年份:
    2021
  • 资助金额:
    $ 86.19万
  • 项目类别:
Can Behavior Shape Neural Health? Identifying Modifiable Factors to Prevent Cognitive Decline in Age
行为可以塑造神经健康吗?
  • 批准号:
    9924492
  • 财政年份:
    2018
  • 资助金额:
    $ 86.19万
  • 项目类别:
Can Behavior Shape Neural Health? Identifying Modifiable Factors to Prevent Cognitive Decline in Age
行为可以塑造神经健康吗?
  • 批准号:
    10368146
  • 财政年份:
    2018
  • 资助金额:
    $ 86.19万
  • 项目类别:
A Metacognition-based Approach to Improve HAND Among Methamphetamine Users
基于元认知的方法可改善甲基苯丙胺使用者的 HAND
  • 批准号:
    8540769
  • 财政年份:
    2013
  • 资助金额:
    $ 86.19万
  • 项目类别:
A Metacognition-based Approach to Improve HAND Among Methamphetamine Users
基于元认知的方法可改善甲基苯丙胺使用者的 HAND
  • 批准号:
    8699510
  • 财政年份:
    2013
  • 资助金额:
    $ 86.19万
  • 项目类别:

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