Worldwide Mapping of Air Pollution Exposure Patterns on Aging Brain Health

项目摘要 暴露于室外空气污染 (AP) 是“加速”衰老和阿尔茨海默病的一个危险因素，但非常重要 很少有研究使用神经影像学来定义这些关系的机制基础。现有 研究进一步受到生物心理社会因素的融合的限制，这些因素已被证明可以改变系统性 空气污染对健康的影响，但尚未在大脑研究中进行建模。最后，缺乏 现有空气污染和大脑老化研究中的地理空间多样性引发了许多问题 主要来自高收入国家的现有神经影像学研究结果的普遍性 年度暴露水平“低”。该提案旨在通过以下方式解决这些挑战和限制： ENIGMA 联盟内的一个新的环境工作组 – ENIGMA-Environment – 由 46 名成员组成 来自 21 个国家的个人群体。在本提案中，我们利用前所未有的地理空间多样性来实现 1。 识别并表征 NO2、PM2.5 质量和 PM2.5 成分对结构和结构的不利影响 老年人的扩散 MRI 指标，2) 定义并解释 NO2、PM2.5 和 BPS 因素之间的相互作用 是老年人神经退行性疾病的基础，3) 确定 NO2 和 PM2.5 对灰色和灰色的影响 整个生命周期的白质轨迹。结果将提供第一个可翻译的 AP 模型 BPS 变量背景下的神经毒性，为增强 检测有“加速”大脑老化和 AD 风险的个体。

PROJECT ABSTRACT Exposure to outdoor air pollution (AP) is a risk factor for “accelerated” aging and Alzheimer’s disease, but very few studies have used neuroimaging to define the mechanistic underpinnings of these relationships. Existing studies are further limited by the confluence of biopsychosocial factors that have been shown to modify systemic health consequences of air pollution but have not been modeled in studies of the brain. Finally, the lack of geospatial diversity in existing studies of air pollution and aging brain health raises numerous questions about the generalizability of existing neuroimaging findings that predominantly come from high-income countries with “low” annual levels of exposure. This proposal is designed to address these challenges and limitations through a new environmental working group within the ENIGMA consortium – ENIGMA-Environment – consisting of 46 individual cohorts from 21 countries. In this proposal we leverage unprecedented geospatial diversity to 1. Identify and characterize adverse effects of NO2, PM2.5 mass, and PM2.5 components on structural and diffusion MRI metrics in older adults, 2) Define and explain interactions between NO2, PM2.5, and BPS factors that underlie neurodegeneration in older adults, and 3) Determine the impact of NO2 and PM2.5 on gray and white matter trajectories across the lifespan. Outcomes will provide the first translatable model of AP neurotoxicity in the context of BPS variables, providing a transformative framework for enhanced detection of individuals at risk for “accelerated” brain aging and AD.