Thompson Rhiannon, Tong Xinning, Shen Xueyi, Ran Jinjun, Sun Shengzhi, Yao Xiaoxin Iris, Shen Chen
National Institute for Health Research (NIHR) School for Public Health Research (NIHR SPHR), UK; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK.
Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, China.
Environ Int. 2025 Jan;195:109219. doi: 10.1016/j.envint.2024.109219. Epub 2024 Dec 17.
Although there is increasing evidence that environmental exposures are associated with the risk of neurodegenerative conditions, there is still limited mechanistic evidence evaluating potential mediators in human populations.
UK Biobank is a large long-term study of 500,000 adults enrolled from 2006 to 2010 age 40-69 years. ICD-10 classified reports of dementia cases up to 2022 (Alzheimer's disease, vascular dementia, dementia in other classified diseases, and unspecified dementia) were identified from health record linkage. Estimates of residential air pollution, traffic noise, and greenspace exposure have been modelled. Structural brain MRI was conducted from 2014 to 2022, with brain volumes relevant to dementia identified a priori. Associations between environmental exposures, brain volumes, and dementia cases (diagnosed post-MRI) were tested using linear and logistic regression and adjusted for age, sex, household income, ethnicity, education, smoking, and area-level deprivation. Mediation of exposure-outcome associations by plausible brain volumes (those associated with both environmental exposure and dementia outcomes) were modelled using the quasi-Bayesian Monte Carlo method (N = 34,817-39,772).
Small but significant mediating effects (2%-8% of relationships mediated) were observed between PM exposure and dementia risk by reduced total brain volume, NOx and Alzheimer's disease risk by reduced peripheral cortical grey matter, PM and vascular dementia risk by reduced peripheral cortical grey matter, PM and other dementia risk by reduced total grey matter, and PM and other dementia risk by reduced total grey matter. Greenspace and noise were not associated with dementia outcomes in the subset of the cohort providing brain imaging data.
This study adds to existing evidence of associations between environmental exposures and dementia outcomes. Our findings provide novel evidence that differences in brain volume may mediate these relationships. Future research is required to prove this mechanism and establish the other mechanisms through which exposure to air pollution might increase dementia risk.
尽管越来越多的证据表明环境暴露与神经退行性疾病风险相关,但在人群中评估潜在中介因素的机制证据仍然有限。
英国生物银行是一项针对2006年至2010年招募的50万名40至69岁成年人的大型长期研究。通过健康记录链接识别出截至2022年的痴呆症病例(阿尔茨海默病、血管性痴呆、其他分类疾病中的痴呆症以及未指定的痴呆症)的国际疾病分类第10版报告。已对住宅空气污染、交通噪音和绿地暴露进行了建模估计。2014年至2022年进行了结构性脑磁共振成像,并事先确定了与痴呆症相关的脑容量。使用线性和逻辑回归测试环境暴露、脑容量和痴呆症病例(磁共振成像后诊断)之间的关联,并对年龄、性别、家庭收入、种族、教育程度、吸烟情况和地区层面的贫困程度进行了调整。使用准贝叶斯蒙特卡罗方法(N = 34,817 - 39,772)对由合理脑容量(那些与环境暴露和痴呆症结果均相关的脑容量)介导的暴露 - 结果关联进行建模。
观察到细颗粒物暴露与痴呆症风险之间存在小但显著的中介效应(中介关系的2% - 8%),表现为全脑体积减少;氮氧化物与阿尔茨海默病风险之间存在中介效应,表现为外周皮质灰质减少;细颗粒物与血管性痴呆风险之间存在中介效应,表现为外周皮质灰质减少;细颗粒物与其他痴呆症风险之间存在中介效应,表现为总灰质减少;细颗粒物与其他痴呆症风险之间存在中介效应,表现为总灰质减少。在提供脑成像数据的队列子集中,绿地和噪音与痴呆症结果无关。
本研究补充了环境暴露与痴呆症结果之间关联的现有证据。我们的研究结果提供了新的证据,表明脑容量差异可能介导这些关系。需要进一步的研究来证实这一机制,并确定空气污染暴露可能增加痴呆症风险的其他机制。