Feasibility of Linking the Occupational Exposome to Alzheimer's Disease Neuropathology

职业危害组包括一生中发生的所有职业暴露 影响健康的课程。阿尔茨海默病（AD）的生物学过程，如AD 神经病理学，受职业困扰的影响是有限的。证据显示 而一个人的工作生活与大脑结构变化和更差的健康和健康状况有关 差距。然而，捕捉职业烦恼在技术上具有挑战性， 健康差异和AD研究中的一些实用方法。但方法论上 进步是可能的。 生命过程公共数据跟踪方法有望成为量化生命过程的新方法。 职业麻烦，创建“新的”历史数据库的过程中，被忽视的AD 生物银行这些方法通常只用于系谱学研究，没有得到充分利用 研究健康差异的社会决定因素。这些方法涉及 系统地搜索公开的历史记录， 一个人的生活，包括美国人口普查记录，城市目录，军事记录，死亡记录， 报纸来源。职业困扰从来没有以这种方式与 脑组织和相关的神经病理学-诊断AD的“金标准”。 建立一种可行的方法来联系职业病与AD生物学结果 在理解这种不治之症的驱动因素方面， 剂量和时间，并揭示关键的调解和调节因素。然而 揭示这些机制基础的基础工作还不完善。 目前的建议是朝着了解工作条件和 生活过程中的环境影响AD大脑健康。我们建议研究 使用生命过程公共数据跟踪方法捕获职业历史，人行横道， 在职业信息网络中建立高压力工作特征暴露 数据库（O*NET），并将这些暴露添加到我们现有的多ADRC脑库样本中 探索与AD神经病理学的关联。总体假设是， 追踪方法可用于可靠地构建有效的职业历史，并与 职业暴露，研究工作在AD脑健康差异中的作用。

The occupational exposome encompasses all occupational exposures occurring over the life course that affect health. How Alzheimer's disease (AD) biological processes, such as AD neuropathology, are impacted by the occupational exposome is limited. Evidence suggests work and one's working life is linked to structural brain changes and poorer health and health disparities. Yet capturing the occupational exposome has been technically challenging, leading to few practical approaches within health disparity and AD research. But methodological advancements are possible. Lifecourse public data tracing methods holds promise as a novel way to quantify the occupational exposome, creating “new” historic databases in the process that are linkable to AD biobanks. Such methods are typically reserved for genealogical research and are underutilized in connecting social determinants to study health disparities. These methods involve systematically searching publicly available historical records and extracting information across one's life including US Census records, city directories, military records, death records, and newspapers sources. Never before has the occupational exposome been linked in this way to brain tissue and related neuropathology—the `gold standard' for diagnosing AD. Establishing a feasible way to link the occupational exposome to AD biological outcomes may unlock new widows in understanding the drivers of this incurable disease; providing insight into dosage and timing, and uncovering the key mediating and moderating factors involved. Yet the groundwork to uncover these mechanistic underpinnings is underdeveloped. The present proposal is an initial step towards understanding how working conditions and contexts over the life course impact AD brain health. We propose to study the feasibility of capturing occupational histories using lifecourse public data tracing methods, crosswalk to established high stress job characteristic exposures in the Occupational Information Network database (O*NET), and append these exposures to our existing multi-ADRC brain bank sample to explore associations with AD neuropathology. The overarching hypothesis is that public data tracing methods can be used to reliably construct valid occupational histories, and be linked to occupational exposures to study the role of work in AD brain health disparities.