Identification of Key Components with Cardiovascular Effect in Airborne Particulate Matter Using an Expanded Component-separation Strategy

Environmental exposures contribute significantly to the global disease burden. However, identifying key toxicants within these complex exposures remains a challenge. Here, we propose an effect-based identification framework with expanded component-separation strategy that encompasses both organic and previously overlooked inorganic components to identify key components with cardiovascular effect in fine particulate matter (PM<sub>2.5</sub>). This framework integrates a high-efficiency extraction and separation method, high-content imaging for vascular morphometric outcomes in a zebrafish model, and multidimensional single-particle analysis for ultrafine particles (UFPs). We identified the effect components in PM<sub>2.5</sub>, with combustion-derived Fe<sub>3</sub>O<sub>4</sub> nanoparticles (NPs) as the strongest effect component. This unanticipated focus on NPs significantly expands the current scope of potential toxicant candidates. Validation using human cell exposure models confirmed that Fe<sub>3</sub>O<sub>4</sub> NPs exhibit higher cardiovascular toxicity than other PM<sub>2.5</sub> components. Our results reveal the crucial toxic contributions of previously overlooked components and provide a revolutionary strategy for identifying effect components within complex environmental matrices.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-11-27
DOI
https://doi.org/10.1021/acs.est.5c11430
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
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article

Identification of Key Components with Cardiovascular Effect in Airborne Particulate Matter Using an Expanded Component-separation Strategy

Yanhong Wei, Zhuyi Zhang, Weican Zhang, Zigu Chen et al.
Environmental Science & Technology
Air Quality and Health Impacts
article

Identification of Key Components with Cardiovascular Effect in Airborne Particulate Matter Using an Expanded Component-separation Strategy

Yanhong Wei, Zhuyi Zhang, Weican Zhang, Zigu Chen, Haozhong Tian, Qian Liu, Shiyang Yu, Yinyin Tang, Guibin Jiang
article en

Abstract

Environmental exposures contribute significantly to the global disease burden. However, identifying key toxicants within these complex exposures remains a challenge. Here, we propose an effect-based identification framework with expanded component-separation strategy that encompasses both organic and previously overlooked inorganic components to identify key components with cardiovascular effect in fine particulate matter (PM<sub>2.5</sub>). This framework integrates a high-efficiency extraction and separation method, high-content imaging for vascular morphometric outcomes in a zebrafish model, and multidimensional single-particle analysis for ultrafine particles (UFPs). We identified the effect components in PM<sub>2.5</sub>, with combustion-derived Fe<sub>3</sub>O<sub>4</sub> nanoparticles (NPs) as the strongest effect component. This unanticipated focus on NPs significantly expands the current scope of potential toxicant candidates. Validation using human cell exposure models confirmed that Fe<sub>3</sub>O<sub>4</sub> NPs exhibit higher cardiovascular toxicity than other PM<sub>2.5</sub> components. Our results reveal the crucial toxic contributions of previously overlooked components and provide a revolutionary strategy for identifying effect components within complex environmental matrices.

Environmental Science & TechnologyVol. 59(48)
Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Jianghan University (CN), Key Laboratory of Guangdong Province (CN), Research Center for Eco-Environmental Sciences (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 54%
Air Quality and Health Impacts
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