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

职业暴露表包括在一生中发生的所有职业暴露者。 影响健康的课程。阿尔茨海默病(AD)的生物学过程，如AD 神经病理学方面，受职业性暴露影响有限。证据表明有工作 一个人的工作生活与大脑结构的变化以及更差的健康和健康有关 差距。然而，捕捉职业曝光在技术上一直具有挑战性，领先 在健康差距和AD研究中几乎没有实用的方法。但在方法论上 进步是可能的。 Lifecource公共数据跟踪方法有望成为量化 职业曝光，在此过程中创建可与AD链接的“新”历史数据库 生物库。这些方法通常被保留用于谱系研究，并未得到充分利用 在将社会决定因素联系起来研究健康差距方面。这些方法涉及到 系统地搜索公开可用的历史记录并提取信息 个人生活，包括美国人口普查记录，城市名录，军事记录，死亡记录，以及 报纸消息来源。在此之前，职业曝光从未以这种方式与 脑组织及相关神经病理学--诊断阿尔茨海默病的“黄金标准”。 建立一种可行的方法将职业暴露与AD生物学结果联系起来 可能会让新寡妇了解这种不治之症的驱动因素；提供洞察力 到剂量和时机，并揭示关键的中介和缓和因素涉及。还没有 揭示这些机械基础的基础工作还不发达。 本提案是朝着了解工作条件和工作环境如何 生活过程中的环境会影响AD的大脑健康。我们建议研究 使用生命周期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)，并将这些暴露附加到我们现有的多个ADRC脑库样本中 探讨阿尔茨海默病与神经病理学的关系。最重要的假设是公共数据 可以使用跟踪方法可靠地构建有效的职业历史，并将其与 研究工作在阿尔茨海默病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.