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长期暴露于空气污染物标准、细颗粒物成分和空气中痕量金属与动脉粥样硬化风险社区(ARIC)研究中老年期脑淀粉样蛋白负担的关联。

The association of long-term exposure to criteria air pollutants, fine particulate matter components, and airborne trace metals with late-life brain amyloid burden in the Atherosclerosis Risk in Communities (ARIC) study.

机构信息

Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA.

Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA.

出版信息

Environ Int. 2023 Oct;180:108200. doi: 10.1016/j.envint.2023.108200. Epub 2023 Sep 17.

Abstract

BACKGROUND

Studies suggest associations between long-term ambient air pollution exposure and outcomes related to Alzheimer's disease (AD). Whether a link exists between pollutants and brain amyloid accumulation, a biomarker of AD, is unclear. We assessed whether long-term air pollutant exposures are associated with late-life brain amyloid deposition in Atherosclerosis Risk in Communities (ARIC) study participants.

METHODS

We used a chemical transport model with data fusion to estimate ambient concentrations of PM and its components, NO, NO, O (24-hour and 8-hour), CO, and airborne trace metals. We linked concentrations to geocoded participant addresses and calculated 10-year mean exposures (2002 to 2011). Brain amyloid deposition was measured using florbetapir amyloid positron emission tomography (PET) scans in 346 participants without dementia in 2012-2014, and we defined amyloid positivity as a global cortical standardized uptake value ratio ≥ the sample median of 1.2. We used logistic regression models to quantify the association between amyloid positivity and each air pollutant, adjusting for putative confounders. In sensitivity analyses, we considered whether use of alternate air pollution estimation approaches impacted findings for PM, NO, NO, and 24-hour O.

RESULTS

At PET imaging, eligible participants (N = 318) had a mean age of 78 years, 56% were female, 43% were Black, and 27% had mild cognitive impairment. We did not find evidence of associations between long-term exposure to any pollutant and brain amyloid positivity in adjusted models. Findings were materially unchanged in sensitivity analyses using alternate air pollution estimation approaches for PM, NO, NO, and 24-hour O.

CONCLUSIONS

Air pollution may impact cognition and dementia independent of amyloid accumulation, though whether air pollution influences AD pathogenesis later in the disease course or at higher exposure levels deserves further consideration.

摘要

背景

研究表明,长期暴露于环境空气中的污染物与阿尔茨海默病(AD)相关结局之间存在关联。然而,污染物与 AD 的生物标志物——脑内淀粉样蛋白(amyloid)积聚之间是否存在关联尚不清楚。本研究旨在评估长期空气污染物暴露与动脉粥样硬化风险社区(ARIC)研究参与者晚年脑内淀粉样蛋白沉积之间的关系。

方法

我们使用化学传输模型和数据融合技术来估算 PM 及其成分、NO、NO、O(24 小时和 8 小时平均浓度)、CO 和空气传播痕量金属的环境浓度。我们将浓度与地理位置编码的参与者地址相关联,并计算了 10 年平均暴露量(2002 年至 2011 年)。2012 年至 2014 年,通过氟代苯丙氨酸正电子发射断层扫描(PET)扫描对 346 名无痴呆症的参与者进行脑内淀粉样蛋白沉积检测,将全局皮质标准化摄取值比(SUVR)≥样本中位数 1.2 定义为淀粉样蛋白阳性。我们使用逻辑回归模型,在校正了潜在混杂因素后,定量分析了每种空气污染物与淀粉样蛋白阳性之间的关联。在敏感性分析中,我们考虑了是否使用替代的空气污染评估方法会影响 PM、NO、NO 和 24 小时 O 的结果。

结果

在 PET 成像时,符合条件的参与者(N=318)的平均年龄为 78 岁,56%为女性,43%为黑人,27%为轻度认知障碍。在调整后的模型中,我们没有发现长期暴露于任何污染物与脑内淀粉样蛋白阳性之间存在关联的证据。在使用替代的 PM、NO、NO 和 24 小时 O 空气污染评估方法进行的敏感性分析中,结果基本保持不变。

结论

空气污染可能会影响认知和痴呆,而与淀粉样蛋白积聚无关,尽管空气污染是否会影响疾病后期或更高暴露水平的 AD 发病机制仍值得进一步研究。

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