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基于认知健康人群队列的细颗粒物暴露与阿尔茨海默病脑脊液生物标志物的相关性研究。

Association between Fine Particulate Matter Exposure and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease among a Cognitively Healthy Population-Based Cohort.

机构信息

Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.

Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.

出版信息

Environ Health Perspect. 2024 Apr;132(4):47001. doi: 10.1289/EHP13503. Epub 2024 Apr 3.

Abstract

BACKGROUND

Epidemiological evidence suggests air pollution adversely affects cognition and increases the risk of Alzheimer's disease (AD), but little is known about the biological effects of fine particulate matter (, particulate matter with aerodynamic diameter ) on early predictors of future disease risk.

OBJECTIVES

We investigated the association between 1-, 3-, and 5-y exposure to ambient and traffic-related and cerebrospinal fluid (CSF) biomarkers of AD.

METHODS

We conducted a cross-sectional analysis using data from 1,113 cognitively healthy adults (45-75 y of age) from the Emory Healthy Brain Study in Georgia in the United States. CSF biomarker concentrations of , tTau, and pTau, were collected at enrollment (2016-2020) and analyzed with the Roche Elecsys system. Annual ambient and traffic-related residential concentrations were estimated at a and resolution, respectively, and computed for each participant's geocoded address, using three exposure time periods based on specimen collection date. Associations between and CSF biomarker concentrations, considering continuous and dichotomous (dichotomized at clinical cutoffs) outcomes, were estimated with multiple linear/logistic regression, respectively, controlling for potential confounders (age, gender, race, ethnicity, body mass index, and neighborhood socioeconomic status).

RESULTS

Interquartile range (IQR; ) increases in 1-y [; 95% confidence interval (CI): , ] and 3-y (; 95% CI: , ) ambient exposures were negatively associated with CSF concentrations. Associations between ambient and were similar for 5-y estimates (; 95% CI: , 0.005). Dichotomized CSF variables revealed similar associations between ambient and . Associations with traffic-related were similar but not significant. Associations between exposures and tTau, pTau , or levels were mainly null.

CONCLUSION

In our study, consistent trends were found between 1-y exposure and decreased CSF , which suggests an accumulation of amyloid plaques in the brain and an increased risk of developing AD. https://doi.org/10.1289/EHP13503.

摘要

背景

流行病学证据表明,空气污染对认知能力有不利影响,并增加患阿尔茨海默病(AD)的风险,但人们对细颗粒物(PM 2.5)对未来疾病风险的早期预测指标的生物学影响知之甚少。

目的

我们研究了 1 年、3 年和 5 年暴露于环境和交通相关的 PM 2.5 与脑脊液(CSF)AD 生物标志物之间的关系。

方法

我们对来自美国佐治亚州埃默里健康大脑研究的 1113 名认知健康成年人(45-75 岁)进行了一项横断面分析。在入组时(2016-2020 年)采集 CSF 生物标志物,浓度为 ,tTau 和 pTau,并用罗氏 Elecsys 系统进行分析。每年的环境和交通相关的居住地 PM 2.5 浓度分别以 和 分辨率进行估算,并根据标本采集日期,基于三个暴露时间段计算每个参与者的地理编码地址。使用多元线性/逻辑回归分别估计 PM 2.5 与 CSF 生物标志物浓度之间的关系,考虑连续和二分(按临床截止值二分)结果,分别控制潜在的混杂因素(年龄、性别、种族、民族、体重指数和邻里社会经济地位)。

结果

1 年[四分位距(IQR);95%置信区间(CI):,]和 3 年(;95% CI:,)环境 PM 2.5 暴露量增加与 CSF 浓度呈负相关。环境 PM 2.5 与 5 年估计值之间的关系相似(;95% CI:,0.005)。CSF 二分变量显示出与环境 PM 2.5 相似的关系。交通相关 PM 2.5 的关联相似但不显著。PM 2.5 暴露与 tTau、pTau 或 Aβ 水平之间的关联主要为零。

结论

在我们的研究中,发现 1 年 PM 2.5 暴露与 CSF 降低之间存在一致的趋势,这表明大脑中淀粉样斑块的积累增加,患 AD 的风险增加。https://doi.org/10.1289/EHP13503.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482d/10989269/4dd6d35727bc/ehp13503_f1.jpg

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