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Updated: Jun 5, 2025

Aggravation of Myocardial Ischemia upon Particulate Matter Exposure in Atherosclerosis Animal Model
Published on: December 10, 2021
New mechanisms of PM2.5 induced atherosclerosis: Source dependent toxicity and pathogenesis
Xinyi Niu1, Jinjin Yu1, Jian Sun2
1Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Abstract:
Exposure to fine particulate matter (PM2.5) is recognized to induce atherosclerosis, but the underlying mechanisms are not fully understood. This study used ambient PM2.5 samples collected in one of the highly polluted regions of Guanzhong Plain in China (2017-2020) and an ApoE-/- mouse model to investigate the association between exposure to PM2.5 and atherosclerosis. Despite a substantial decrease in the ambient concentration of PM2.5 from 266.7 ± 63.9 to 124.4 ± 37.7 μg m-3 due to the execution of a series of emission controls, cardiovascular toxicity due to exposure to PM2.5 remained at a significantly high level compared with the Control group. Moreover, the result highlighted that biomass burning (BB) showed an increased contribution to PM2.5 while most anthropogenic sources decreased. This study found that PM2.5 exposure led to vascular oxidative stress and inflammation, accelerated atherosclerotic plaque growth, and altered vascular proliferation pathways. The latter two mechanisms provide new insights into how PM2.5 enhanced the processes of atherosclerosis, promoted lipoprotein cholesterol (LDL-C) absorption in vascular cells, and directed stimulation of cell function factors (VEGF and MCP-1), which are highly associated by PI3K/AKT signaling pathway. Polycyclic aromatic hydrocarbons (PAHs) and their derivatives, and certain biomarkers showed strong correlations with bio-reactivity, while BB was identified as a major contributor to toxicity of PM2.5. The findings offer new insights into the role of PM2.5 promoting atherosclerosis and provide recommendations for controlling PM2.5 pollution to prevent and treat the disease particularly for susceptible populations.
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