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

[Display omitted] 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 exposu...

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Veröffentlicht in:	Environment international Jg. 180; S. 108200
Hauptverfasser:	Bennett, Erin E., Song, Ziwei, Lynch, Katie M., Liu, Chelsea, Stapp, Emma K., Xu, Xiaohui, Park, Eun Sug, Ying, Qi, Smith, Richard L., Stewart, James D., Whitsel, Eric A., Mosley, Thomas H., Wong, Dean F., Liao, Duanping, Yanosky, Jeff D., Szpiro, Adam A., Kaufman, Joel D., Gottesman, Rebecca F., Power, Melinda C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier Ltd 01.10.2023 Elsevier
Schlagworte:	Aged air air pollutants Air Pollutants - adverse effects Air Pollutants - analysis air pollution Air Pollution - adverse effects Air Pollution - analysis amyloid atherosclerosis Atherosclerosis - diagnostic imaging biomarkers brain Brain - diagnostic imaging chronic exposure cognition cognitive disorders Dementia disease course environment Environmental Exposure - adverse effects Environmental Exposure - analysis Environmental Pollutants - analysis Female females Humans Male Nitrogen Dioxide - analysis Particulate Matter - adverse effects Particulate Matter - analysis particulates pathogenesis positron-emission tomography regression analysis risk
ISSN:	0160-4120, 1873-6750, 1873-6750
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Zusammenfassung:	[Display omitted] 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. We used a chemical transport model with data fusion to estimate ambient concentrations of PM2.5 and its components, NO2, NOx, O3 (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 PM2.5, NO2, NOx, and 24-hour O3. 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 PM2.5, NO2, NOx, and 24-hour O3. 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.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Erin E. Bennett: conceptualization, methodology, formal analysis, writing – original draft, writing – review and editing, visualization Eun Sug Park: conceptualization, writing – review and editing Jeff D. Yanosky: methodology, resources, data curation, writing – review and editing Adam A. Szpiro: methodology, resources, data curation, writing – review and editing Melinda C. Power: conceptualization, methodology, resources, writing – original draft, writing – review and editing, supervision, project administration, funding acquisition James D. Stewart: methodology, resources, data curation, , writing – review and editing, visualization Joel D. Kaufman: methodology, resources, data curation, writing – review and editing Xiaohui Xu: conceptualization, writing – review and editing Rebecca F. Gottesman: methodology, resources, writing – review and editing, funding acquisition Katie M. Lynch: validation, writing – review and editing Eric A. Whitsel: conceptualization, methodology, resources, data curation, writing – review and editing Chelsea Liu: validation, writing – review and editing Dean F. Wong: methodology, resources, writing – review and editing Ziwei Song: validation, writing – review and editing Richard L. Smith: conceptualization, writing – review and editing Author Statement Emma K. Stapp: validation, writing – review and editing Duanping Liao: methodology, resources, data curation, writing – review and editing Qi Ying: methodology, resources, writing – review and editing Thomas H. Mosley: resources, data curation, writing – review and editing, funding acquisition
ISSN:	0160-4120 1873-6750 1873-6750
DOI:	10.1016/j.envint.2023.108200