Spatial and spectral mapping of traffic-related air pollution (TRAP) nanoparticles in relation to plaques and inflammatory markers in an Alzheimer disease model

在阿尔茨海默病模型中,交通相关空气污染(TRAP)纳米颗粒与斑块和炎症标志物的空间和光谱映射关系研究

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Abstract

Chronic exposure to traffic-related air pollution (TRAP) is linked to increased risk of neurodegenerative diseases, including Alzheimer disease (AD). Ultrafine particulate matter (UFPM) is a suspected driver of TRAP neurotoxicity, but its spatial interactions with AD pathology remain poorly defined. We investigated the distribution, composition, and pathological context of TRAP-derived UFPM in the hippocampus of TgF344-AD rats chronically exposed to TRAP or filtered air (FA) for 14 months. Using a multimodal imaging workflow that combines enhanced darkfield hyperspectral imaging (EDF-HSI) with confocal immunofluorescence for microglia (CD68/Iba1) and amyloid beta (Aβ) plaques (Thioflavin S), we mapped the localization and spectral properties of UFPM in situ. UFPM accumulation was elevated in TRAP-exposed females, suggesting sex-specific vulnerability in blood-brain barrier (BBB) permeability or particle retention. Particles near plaques showed red-shifted spectral signatures, consistent with biochemical transformation. Dimension reduction revealed clustering of particle spectra by TRAP exposure and plaque proximity. However, UFPM was rarely found within plaques or microglia, implying indirect neuroimmune modulation. These findings highlight a novel spatial and spectral imaging approach for characterizing environmental nanoparticle interactions in the brain and suggest that chronic TRAP exposure may influence AD-related inflammation and pathology in a sex- and region-dependent manner.

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