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

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Authors: Jianling Shen, Q. Wei, Lijie Wang, Yan Jin, Yiru Qin, Ruibo Meng, Zhiming Hu, Qiansheng Hu, Zhenyan Han, Qing Wei, Na Zhao, Weiwei Lin
Cited by: 0
References: 57

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 2.5 ) or ozone (O 3 ) 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 2.5 /low-O 3, high-PM 2.5 /low-O 3, low-PM 2.5 /high-O 3, and high-PM 2.5 /high-O 3 . We found that PM 2.5 and O 3 co-exposure exerted synergistic effects on maternal metabolism. Dysregulated aspartate/asparagine and amino-sugar metabolism potentially bridge PM 2.5 –O 3 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 2.5 /O 3 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 ( p = 0.003). This study identifies PM 2.5 –O 3 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.

Fields of Study & Subjects

Gestational Diabetes Research and Management Air Quality and Health Impacts Health Environment Cognitive Aging

Publication details

Journal / source
Environmental Science & Technology
Volume
60
Issue
8
Pages
6082–6095
Publication date
16 February 2026
Language
EN