Synergistic Effects of Maternal PM <sub>2.5</sub> and Ozone Co-exposure on Gestational Diabetes Mellitus: A Metabolomic Mechanistic Insight

Environmental pollutants represent critical controllable risk factors for gestational diabetes mellitus (GDM) requiring urgent investigation in maternal-fetal medicine. Emerging evidence has associated individual exposure to particulate matter with aerodynamic diameter ≤ 2.5 μm (PM<sub>2.5</sub>) or ozone (O<sub>3</sub>) with GDM risk, but their synergistic effects and underlying metabolic mechanisms remain unclear. In this nested case-control study involving 90 matched GDM-control pairs, we employed high-resolution metabolomics to identify co-exposure- and GDM-related metabolic signatures across four exposure scenarios: low-PM<sub>2.5</sub>/low-O<sub>3</sub>, high-PM<sub>2.5</sub>/low-O<sub>3</sub>, low-PM<sub>2.5</sub>/high-O<sub>3</sub>, and high-PM<sub>2.5</sub>/high-O<sub>3</sub>. We found that PM<sub>2.5</sub> and O<sub>3</sub> co-exposure exerted synergistic effects on maternal metabolism. Dysregulated aspartate/asparagine and amino-sugar metabolism potentially bridge PM<sub>2.5</sub>-O<sub>3</sub> co-exposure to GDM pathogenesis. High-dimensional mediation analysis revealed a meet-in-the-middle-derived factor that significantly mediated the co-exposure-GDM association (mediation proportion, 13.7%). Among 1945 metabolic features linked to PM<sub>2.5</sub>/O<sub>3</sub> exposure and 271 correlated with GDM, 12 were confirmedly annotated. Incorporating these 12 metabolites into a classical risk factor-based receiver operating characteristic model increased area under the curve from 0.64 to 0.77 (<i>p</i> = 0.003). This study identifies PM<sub>2.5</sub>-O<sub>3</sub> co-exposure as a controllable GDM risk factor, mechanistically linked to aspartate/asparagine and amino-sugar metabolic disruption. The identified exposure-responsive metabolites not only provide biological insights but also demonstrate translational potential for improving GDM risk prediction models.

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Journal
Environmental Science & Technology
Published
2026-02-16
DOI
https://doi.org/10.1021/acs.est.5c16521
Primary Topic
Air Quality and Health Impacts
Type
article
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article

Synergistic Effects of Maternal PM 2.5 and Ozone Co-exposure on Gestational Diabetes Mellitus: A Metabolomic Mechanistic Insight

Qiansheng Hu, Yiru Qin, Zhenyan Han, Ye Jin et al.
Environmental Science & Technology
Air Quality and Health Impacts
article

Synergistic Effects of Maternal PM 2.5 and Ozone Co-exposure on Gestational Diabetes Mellitus: A Metabolomic Mechanistic Insight

Qiansheng Hu, Yiru Qin, Zhenyan Han, Ye Jin, Q. Wei, Lijie Wang, Jianling Shen, Na Zhao, Weiwei Lin, Ruibo Meng, Zhiming Hu
article en

Abstract

Environmental pollutants represent critical controllable risk factors for gestational diabetes mellitus (GDM) requiring urgent investigation in maternal-fetal medicine. Emerging evidence has associated individual exposure to particulate matter with aerodynamic diameter ≤ 2.5 μm (PM<sub>2.5</sub>) or ozone (O<sub>3</sub>) with GDM risk, but their synergistic effects and underlying metabolic mechanisms remain unclear. In this nested case-control study involving 90 matched GDM-control pairs, we employed high-resolution metabolomics to identify co-exposure- and GDM-related metabolic signatures across four exposure scenarios: low-PM<sub>2.5</sub>/low-O<sub>3</sub>, high-PM<sub>2.5</sub>/low-O<sub>3</sub>, low-PM<sub>2.5</sub>/high-O<sub>3</sub>, and high-PM<sub>2.5</sub>/high-O<sub>3</sub>. We found that PM<sub>2.5</sub> and O<sub>3</sub> co-exposure exerted synergistic effects on maternal metabolism. Dysregulated aspartate/asparagine and amino-sugar metabolism potentially bridge PM<sub>2.5</sub>-O<sub>3</sub> co-exposure to GDM pathogenesis. High-dimensional mediation analysis revealed a meet-in-the-middle-derived factor that significantly mediated the co-exposure-GDM association (mediation proportion, 13.7%). Among 1945 metabolic features linked to PM<sub>2.5</sub>/O<sub>3</sub> exposure and 271 correlated with GDM, 12 were confirmedly annotated. Incorporating these 12 metabolites into a classical risk factor-based receiver operating characteristic model increased area under the curve from 0.64 to 0.77 (<i>p</i> = 0.003). This study identifies PM<sub>2.5</sub>-O<sub>3</sub> co-exposure as a controllable GDM risk factor, mechanistically linked to aspartate/asparagine and amino-sugar metabolic disruption. The identified exposure-responsive metabolites not only provide biological insights but also demonstrate translational potential for improving GDM risk prediction models.

Environmental Science & TechnologyVol. 60(8)
Sun Yat-sen University (CN), Guangdong Provincial Occupational Disease Prevention Hospital (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
Openalex Percentile: Top 57%
Air Quality and Health Impacts
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