Alzheimer's disease neuropathologic change mediates the relationship between ambient air pollution and dementia severity

Boram Kim, Kaitlin Blam, Holly Elser, Sharon X. Xie, Vivianna M. Van Deerlin, Trevor M. Penning, Daniel Weintraub, David J. Irwin, Lauren M. Massimo, Corey T. McMillan, Dawn Mechanic-Hamilton, David A. Wolk, Edward B. Lee
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Abstract

Background: Exposure to fine particulate matter air pollution (PM2.5) increases risk for dementia. However, it is unknown whether this relationship is mediated by dementia-related neuropathologic change found at autopsy. We aimed to examine relationships between PM2.5 exposure, dementia severity, and dementia-associated neuropathologic change. Methods: This cross-sectional study used harmonized demographic, clinical, genetic, and neuropathological data from autopsy cases collected from 1998 to 2022 at the Center for Neurodegenerative Disease Research brain bank, University of Pennsylvania. Cases who had common neuropathologic forms of dementia and complete data on neuropathologic measures, APOE genotype, and residential address were included in this study cohort. Dementia severity was measured by Clinical Dementia Rating-Sum of Boxes (CDR-SB) scores. Ten dementia-associated neuropathologic measures representing Alzheimer's disease, Lewy body disease, limbic-predominant age related TDP-encephalopathy, and cerebrovascular disease were graded or staged according to the consensus criteria. One-year average PM2.5 exposure prior to death was estimated using a spatiotemporal prediction model based on residential addresses as the primary exposure measure. Linear, logistic and structural equation models were used to examine the relationships between PM2.5, CDR-SB and neuropathologic measures. Results: A total of 861 autopsy cases were included (mean age at death 76.6 years [SD 10.3]; 481 [56%] male). Each 1µg/m3 increase in one-year average PM2.5 concentration prior to death was associated with significantly greater cognitive and functional impairment (increase in CDR-SB score of 0.78; 95% confidence interval [CI], 0.52-1.05), faster cognitive and functional decline (change in CDR-SB scores of 0.13; 95% CI, 0.09-0.16), more severe Alzheimer's disease neuropathologic change (ADNC; odds ratio [OR] of 1.07; 95% CI, 1.01-1.13), and a higher prevalence of large infarcts (OR, 1.17; 95% CI, 1.05-1.30). The relationship between PM2.5 exposure and CDR-SB was mediated by ADNC (change in CDR-SB score due to ADNC level of 0.36; 95% CI, 0.13-0.65). Conclusions: PM2.5 exposure may increase dementia risk by increasing ADNC. Measures that improve air quality may represent a population-level intervention for the prevention of dementia.
阿尔茨海默氏症神经病理学变化介导环境空气污染与痴呆症严重程度之间的关系
背景:暴露于细颗粒物空气污染(PM2.5)会增加患痴呆症的风险。然而,尸检中发现的痴呆症相关神经病理学变化是否会介导这种关系,目前尚不清楚。我们旨在研究 PM2.5 暴露、痴呆症严重程度和痴呆症相关神经病理学变化之间的关系。研究方法这项横断面研究使用了宾夕法尼亚大学神经退行性疾病研究中心脑库从 1998 年至 2022 年收集的尸检病例的统一人口统计学、临床、遗传学和神经病理学数据。本研究将具有常见神经病理学痴呆形式、完整的神经病理学测量数据、APOE 基因型和居住地址的病例纳入研究队列。痴呆症的严重程度通过临床痴呆评级-方框总和(CDR-SB)评分来衡量。根据共识标准,对代表阿尔茨海默病、路易体病、边缘型老年性 TDP 脑病和脑血管病的十种痴呆相关神经病理学指标进行分级或分期。使用基于居住地址的时空预测模型估算死亡前一年的平均PM2.5暴露量,作为主要的暴露测量指标。采用线性、逻辑和结构方程模型来研究 PM2.5、CDR-SB 和神经病理学指标之间的关系。研究结果共纳入 861 例尸检病例(死亡时平均年龄为 76.6 岁 [SD 10.3];男性 481 [56%])。死亡前一年的 PM2.5 平均浓度每增加 1µg/m3 与认知和功能障碍显著增加有关(CDR-SB 得分增加 0.78;95% 置信区间 [CI],0.52-1.05),认知和功能障碍增加更快。05)、更快的认知和功能衰退(CDR-SB 评分变化为 0.13;95% 置信区间 [CI],0.09-0.16)、更严重的阿尔茨海默氏症神经病理变化(ADNC;几率比 [OR] 为 1.07;95% 置信区间 [CI],1.01-1.13)以及更高的大面积脑梗塞患病率(OR,1.17;95% 置信区间 [CI],1.05-1.30)。PM2.5暴露与CDR-SB之间的关系由ADNC介导(ADNC水平导致的CDR-SB评分变化为0.36;95% CI,0.13-0.65)。结论PM2.5暴露可能会通过增加ADNC而增加痴呆症风险。改善空气质量的措施可能是预防痴呆症的人群干预措施。
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