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氏症的危险因素，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 研究进一步受到生物、心理和社会因素的汇合的限制，这些因素已被证明可以改变全身 空气污染对健康的影响，但还没有在大脑研究中建立模型。最后，缺乏 在现有的空气污染和衰老大脑健康研究中，地理空间多样性提出了许多问题 现有神经成像结果的概括性，主要来自高收入国家 “低”的年度暴露水平。本提案旨在通过以下方式解决这些挑战和限制 谜联盟内的一个新的环境工作组--谜--环境--由46人组成 来自21个国家的个人队列。在这项提议中，我们利用前所未有的地理空间多样性来1。 识别和描述NO2、PM2.5质量和PM2.5组分对结构和 老年人弥散磁共振测量，2)定义和解释NO2、PM2.5和BPS因子之间的相互作用 这是老年人神经变性的基础，以及3)决定了NO2和PM2.5对灰色和 白质在整个生命周期中的轨迹。结果将提供第一个可翻译的美联社模型 在BPS变量的背景下的神经毒性，为增强的 检测有“加速”脑老化和阿尔茨海默病风险的个体。

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.