Machine learning-based association between mixed metal exposure in early pregnancy and gestational diabetes mellitus: Mediating role of bile acid metabolism

Our findings indicate that exposure to Mo, Cd and Sb is significantly associated with the risk of GDM, and bile acids may play a mediating role in this.

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Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2025-10-27
DOI
https://doi.org/10.1016/j.ecoenv.2025.119294
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine learning-based association between mixed metal exposure in early pregnancy and gestational diabetes mellitus: Mediating role of bile acid metabolism

Li‐Ling Wu, Chuanqiao Tang, Peng Yang, Yuanyuan Li et al.
Ecotoxicology and Environmental Safety
Child Nutrition and Water Access
article

Machine learning-based association between mixed metal exposure in early pregnancy and gestational diabetes mellitus: Mediating role of bile acid metabolism

Li‐Ling Wu, Chuanqiao Tang, Peng Yang, Yuanyuan Li, Yucheng Huang, Qin Ning, Xiaoqiang Qiu, Han Li, Qian Liao, Bao-Ying Feng, Jiemei Li, Qiufen Wei, Hongling Zhang
article en

Abstract

Our findings indicate that exposure to Mo, Cd and Sb is significantly associated with the risk of GDM, and bile acids may play a mediating role in this.

Ecotoxicology and Environmental SafetyVol. 306
Guangxi Medical University (CN), City University of Hong Kong (HK), Guilin Medical University (CN), Ministry of Ecology and Environment (CN), Wuchang University of Technology (CN), Guangxi Maternal and Child Health Hospital (CN), Shenzhen Nanshan Center for Chronic Disease Control (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 62%
Child Nutrition and Water Access
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