Abstract

BackgroundA growing body of epidemiological literature indicates that particulate matter (PM) air pollution exposure is associated with elevated Alzheimer’s disease (AD) risk and may exacerbate AD-related cognitive decline. Of concern is exposure to the ultrafine PM (UFP) fraction (≤100 nm), which deposits efficiently throughout the respiratory tract, has higher rates of translocation to secondary organs, like brain, and may induce inflammatory changes. We, therefore, hypothesize that exposure to UFPs will exacerbate cognitive deficits in a mouse model of AD. The present study assessed alterations in learning and memory behaviors in aged (12.5 months) male 3xTgAD and non-transgenic mice following a 2-week exposure (4-h/day, 4 days/week) to concentrated ambient UFPs using the Harvard ultrafine concentrated ambient particle system (HUCAPS) or filtered air. Beginning one month following exposure, locomotor activity, spatial learning and memory, short-term recognition memory, appetitive motivation, and olfactory discrimination were assessed.ResultsNo effects on locomotor activity were found following HUCAPS exposure (number concentration, 1 × 104–4.7 × 105 particles/cm3; mass concentration, 29–132 μg/m3). HUCAPS-exposed mice, independent of AD background, showed a significantly decreased spatial learning, mediated through reference memory deficits, as well as short-term memory deficits in novel object recognition testing. AD mice displayed diminished spatial working memory, potentially a result of olfactory deficits, and short-term memory. AD background modulated HUCAPS-induced changes on appetitive motivation and olfactory discrimination, specifically enhancing olfactory discrimination in NTg mice. Modeling variation in appetitive motivation as a covariate in spatial learning and memory, however, did not support the conclusion that differences in motivation significantly underlie changes in spatial learning and memory.ConclusionsA short-term inhalation exposure of aged mice to ambient UFPs at human-relevant concentrations resulted in protracted (testing spanning 1–6.5 months post-exposure) adverse effects on multiple memory domains (reference and short-term memory) independent of AD background. Impairments in learning and memory were present when accounting for potential covariates like motivational changes and locomotor activity. These results highlight the need for further research into the potential mechanisms underlying the cognitive effects of UFP exposure in adulthood.

Highlights

  • Alzheimer’s disease (AD) is the most prevalent form of dementia and affects around 1 in 8 individuals over the age of 65 years [1]

  • The mean particle number concentration of the Harvard ultrafine concentrated ambient particle system (HUCAPS) aerosol across all exposure days was 122, 000 particles/cm3 with a mean mass concentration of 57 μg/m3 (Fig. 1)

  • The mean count median diameter (CMD) of the HUCAPS aerosol across all exposure days was 79 nm with a geometric standard deviation (GSD) of 1.5, confirming that the aerosol size was narrowly distributed and within the ultrafine PM (UFP) range

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Summary

Introduction

Alzheimer’s disease (AD) is the most prevalent form of dementia and affects around 1 in 8 individuals over the age of 65 years [1]. Studies that examine sources of pollution and its constituents have found that elevated exposure to particulate matter (PM) is associated with increased hospitalizations for AD and dementia [11] and with diminished cognitive function [14] and accelerated cognitive decline in the elderly [15]. These findings implicate a role for PM exposure in the progression of AD-related pathology and associated cognitive decline. A growing body of epidemiological literature indicates that particulate matter (PM) air pollution exposure is associated with elevated Alzheimer’s disease (AD) risk and may exacerbate AD-related cognitive decline. Modeling variation in appetitive motivation as a covariate in spatial learning and memory, did not support the conclusion that differences in motivation significantly underlie changes in spatial learning and memory

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