Aerosol Toxicokinetics: A Framework for Unraveling Toxicological Dynamics from Air to the Body

Exposure to atmospheric aerosols threatens human health and is yet to be effectively addressed globally. Aerosol toxicity strongly depends upon components whose chemical profiles and concentrations can constantly evolve throughout atmospheric transformation, inhalation, distribution, metabolism, and excretion. Despite the abundant studies on aerosol components and their toxic effects, the dynamics in component concentrations and related biological effects from air to the body remain unclear. Here, we propose a conceptual toxicokinetic framework to mathematically deduce the bioavailable concentration from the changing bulk concentration of aerosol constituents in the atmosphere. The biological effects of single or multiple components are further predicted via toxicodynamic modeling according to their bioavailable concentrations. Atmospheric concentrations of toxic composition can in turn be regulated by risk-based guidelines, aiming to alleviate <i>in vivo</i> toxic effects. This perspective demonstrates how serial toxicokinetic-toxicodynamic equations bridge the knowledge gap between ambient aerosols and associated toxic effects in human bodies. The prediction from an inhalation perspective also allows connecting with the exposomes from aggregate exposure pathways. We call for the development of the model validity and integrate quantitative adverse outcome pathways to apply for exposure-disease modeling, providing novel insights into air quality policymaking and public health management.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-03-25
DOI
https://doi.org/10.1021/acs.est.5c00751
Citations
2
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
2.40

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article

Aerosol Toxicokinetics: A Framework for Unraveling Toxicological Dynamics from Air to the Body

Chen Xiu, Ling Jin, Yanyi Xu, Di Wu et al.
2 citations
Environmental Science & Technology
Air Quality and Health Impacts
2.40
article

Aerosol Toxicokinetics: A Framework for Unraveling Toxicological Dynamics from Air to the Body

Chen Xiu, Ling Jin, Yanyi Xu, Di Wu, Qing X. Li, Xiwen Song
article en
2 citations

Abstract

Exposure to atmospheric aerosols threatens human health and is yet to be effectively addressed globally. Aerosol toxicity strongly depends upon components whose chemical profiles and concentrations can constantly evolve throughout atmospheric transformation, inhalation, distribution, metabolism, and excretion. Despite the abundant studies on aerosol components and their toxic effects, the dynamics in component concentrations and related biological effects from air to the body remain unclear. Here, we propose a conceptual toxicokinetic framework to mathematically deduce the bioavailable concentration from the changing bulk concentration of aerosol constituents in the atmosphere. The biological effects of single or multiple components are further predicted via toxicodynamic modeling according to their bioavailable concentrations. Atmospheric concentrations of toxic composition can in turn be regulated by risk-based guidelines, aiming to alleviate <i>in vivo</i> toxic effects. This perspective demonstrates how serial toxicokinetic-toxicodynamic equations bridge the knowledge gap between ambient aerosols and associated toxic effects in human bodies. The prediction from an inhalation perspective also allows connecting with the exposomes from aggregate exposure pathways. We call for the development of the model validity and integrate quantitative adverse outcome pathways to apply for exposure-disease modeling, providing novel insights into air quality policymaking and public health management.

Environmental Science & TechnologyVol. 59(13)
Environment and Climate Change Canada (CA), Hong Kong Polytechnic University (HK), Fudan University (CN), State Key Laboratory of Pollution Control and Resource Reuse (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Air Quality and Health Impacts
2.40
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