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危险因素，但非常 很少有研究使用神经成像来定义这些关系的机械基础。现有 生物心理社会因素的汇合进一步限制了研究，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建模。最后，缺乏 现有的空气污染和大脑健康老化研究中的地理空间多样性提出了许多问题， 现有神经影像学结果的普遍性，主要来自高收入国家， 年度“低”暴露水平。本提案旨在通过以下方式应对这些挑战和限制： 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个国家的单个队列。在这项提案中，我们利用前所未有的地理空间多样性，以1。 确定和表征NO2、PM2.5质量和PM2.5组分对结构和 老年人的弥散MRI指标，2）定义并解释NO2、PM2.5和BPS因素之间的相互作用 3）确定NO2和PM2.5对老年人神经退行性疾病的影响， 白色物质在生命周期中的轨迹。成果将提供第一个可翻译的AP模型 在BPS变量的背景下，神经毒性，为增强 检测处于“加速”脑老化和AD风险中的个体。

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.