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Updated: Jan 11, 2026

A Murine Pancreatic Islet Cell-based Screening for Diabetogenic Environmental Chemicals
Published on: June 25, 2018
Exposure to contaminants of emerging concern and gestational diabetes mellitus subtypes: An exploratory nested
Boya Wang1, Yiwen Qiu1, Nuo Xu1
1Department of Public Health, and Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Abstract:
The association of combined exposure to contaminants of emerging concern (CECs), including ultraviolet stabilizers (UVs), with gestational diabetes mellitus (GDM) remains unreported. To address this gap, the present study quantified plasma concentrations of 99 CECs, aiming to estimate associations of early pregnancy CEC exposure with GDM and its subtypes, and identify key contributors. This nested case-control study enrolled 120 participants from the Zhoushan cohort: 90 GDM cases (30 each of isolated fasting hyperglycemia [IFH], isolated postprandial hyperglycemia [IPH], combined hyperglycemia [CH]) and 30 normal glucose tolerance (NGT) controls. Conditional logistic regression evaluated single-pollutant effects on GDM. Combined exposure was assessed via adaptive elastic net (AENET), Bayesian kernel machine regression (BKMR), and quantile g-computation (qgcomp). Among valid detected chemicals, 12 CECs showed significantly higher levels in GDM (UV-P [2.66 vs. 1.40 ng/mL in NGT controls]). Conditional logistic regression showed positive associations of PAHs, PAEs, UVs, synthetic antioxidants with GDM. Three statistical approaches identified positive correlations between combined CEC exposure and risks of GDM, IFH, CH. qgcomp showed combined exposure associated with GDM [1.39 (95 %CI=1.15-1.67)], IFH [1.94 (95 %CI=1.39-2.70)], CH [1.96 (95 %CI=1.32-2.89)]. BKMR identified UV-P and DEP as key contributors. These findings warrant validation in large prospective studies with mechanistic evidence.
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