A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China

Abstract Background Exposure to metals during early pregnancy may affect maternal glucose metabolism. We were aimed to assess the associations between early pregnancy whole blood concentrations of copper (Cu), zinc (Zn), calcium (Ca), iron (Fe), and magnesium (Mg) with GDM later in the second trimes...

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Main Authors: Doudou Zhao, Jie Chen, Xiayang Li, Yishuai Huang, Yu Zhang, Fuyang Zhao, Danmeng Liu, Li Shan, Yang Mi, Lei Shang, Pengfei Qu
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Pregnancy and Childbirth
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Online Access:https://doi.org/10.1186/s12884-025-07336-2
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author Doudou Zhao
Jie Chen
Xiayang Li
Yishuai Huang
Yu Zhang
Fuyang Zhao
Danmeng Liu
Li Shan
Yang Mi
Lei Shang
Pengfei Qu
author_facet Doudou Zhao
Jie Chen
Xiayang Li
Yishuai Huang
Yu Zhang
Fuyang Zhao
Danmeng Liu
Li Shan
Yang Mi
Lei Shang
Pengfei Qu
author_sort Doudou Zhao
collection DOAJ
description Abstract Background Exposure to metals during early pregnancy may affect maternal glucose metabolism. We were aimed to assess the associations between early pregnancy whole blood concentrations of copper (Cu), zinc (Zn), calcium (Ca), iron (Fe), and magnesium (Mg) with GDM later in the second trimester among pregnant women in Northwest China. Methods This study included 5478 first-trimester pregnant women who participated in the birth cohort of the Northwest Women’s and Children’s Hospital between July 2018 and December 2023. Metal concentrations, basic demographic characteristics, lifestyle and behavior patterns were collected. An oral glucose tolerance test was performed in the second trimester. A generalized linear model was used to analyze the effects of metal concentrations on GDM. A two-piecewise regression model was adopted to examine the threshold effect and find out the turning point. Weighted Quantile Sum (WQS) regression was conducted using a dataset randomly split into training and validation sets at a 4:6 ratio to investigate the association between metal mixtures and GDM. Results Compared to the lowest tertile, the middle (RR = 0.82, 95%CI = 0.71, 0.95) and highest (RR = 0.84, 95%CI = 0.73, 0.97) tertiles of Ca concentrations could decrease the risk of GDM. However, the highest tertile of Cu concentration could increase the risk of GDM (RR = 1.18, 95%CI = 1.01, 1.39). Additionally, a non-linear relationship between Ca concentration with GDM and FPG was observed. The risk of GDM (RR = 0.08, 95%CI: 0.02, 0.31) and FPG (β=-0.56, 95%CI: -0.99, -0.12) decreased with 1 unit increase in ln-transformed Ca concentration below the turning point. However, the WQS index of maternal mixed metals was not correlated with the incidence of GDM (RR = 1.08, 95%CI = 0.98, 1.19). Conclusions Higher Cu concentration during early pregnancy may increase the risk of GDM in mothers. Increased Ca concentration may reduce the risk of GDM and lower the concentration of FPG below the turning point. Our findings could provide an early marker for potentially modifiable risk factors associated with maternal glucose dysregulation during pregnancy.
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spelling doaj-art-e6a9a720bd91429fbcbdc484c5d765c62025-08-20T02:25:41ZengBMCBMC Pregnancy and Childbirth1471-23932025-04-0125111110.1186/s12884-025-07336-2A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest ChinaDoudou Zhao0Jie Chen1Xiayang Li2Yishuai Huang3Yu Zhang4Fuyang Zhao5Danmeng Liu6Li Shan7Yang Mi8Lei Shang9Pengfei Qu10Translational Medicine Center, Northwest Women’s and Children’s HospitalDepartment of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science CenterDepartment of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science CenterDepartment of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science CenterDepartment of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science CenterSchool of Nursing, Shaanxi University of Chinese MedicineTranslational Medicine Center, Northwest Women’s and Children’s HospitalDepartment of Gynecology, Northwest Women’s and Children’s HospitalDepartment of Obstetrics, Northwest Women’s and Children’s HospitalDepartment of Health Statistics, Fourth Military Medical UniversityTranslational Medicine Center, Northwest Women’s and Children’s HospitalAbstract Background Exposure to metals during early pregnancy may affect maternal glucose metabolism. We were aimed to assess the associations between early pregnancy whole blood concentrations of copper (Cu), zinc (Zn), calcium (Ca), iron (Fe), and magnesium (Mg) with GDM later in the second trimester among pregnant women in Northwest China. Methods This study included 5478 first-trimester pregnant women who participated in the birth cohort of the Northwest Women’s and Children’s Hospital between July 2018 and December 2023. Metal concentrations, basic demographic characteristics, lifestyle and behavior patterns were collected. An oral glucose tolerance test was performed in the second trimester. A generalized linear model was used to analyze the effects of metal concentrations on GDM. A two-piecewise regression model was adopted to examine the threshold effect and find out the turning point. Weighted Quantile Sum (WQS) regression was conducted using a dataset randomly split into training and validation sets at a 4:6 ratio to investigate the association between metal mixtures and GDM. Results Compared to the lowest tertile, the middle (RR = 0.82, 95%CI = 0.71, 0.95) and highest (RR = 0.84, 95%CI = 0.73, 0.97) tertiles of Ca concentrations could decrease the risk of GDM. However, the highest tertile of Cu concentration could increase the risk of GDM (RR = 1.18, 95%CI = 1.01, 1.39). Additionally, a non-linear relationship between Ca concentration with GDM and FPG was observed. The risk of GDM (RR = 0.08, 95%CI: 0.02, 0.31) and FPG (β=-0.56, 95%CI: -0.99, -0.12) decreased with 1 unit increase in ln-transformed Ca concentration below the turning point. However, the WQS index of maternal mixed metals was not correlated with the incidence of GDM (RR = 1.08, 95%CI = 0.98, 1.19). Conclusions Higher Cu concentration during early pregnancy may increase the risk of GDM in mothers. Increased Ca concentration may reduce the risk of GDM and lower the concentration of FPG below the turning point. Our findings could provide an early marker for potentially modifiable risk factors associated with maternal glucose dysregulation during pregnancy.https://doi.org/10.1186/s12884-025-07336-2Gestational diabetes mellitusMetal levelCuCaBlood glucoseThreshold effect
spellingShingle Doudou Zhao
Jie Chen
Xiayang Li
Yishuai Huang
Yu Zhang
Fuyang Zhao
Danmeng Liu
Li Shan
Yang Mi
Lei Shang
Pengfei Qu
A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China
BMC Pregnancy and Childbirth
Gestational diabetes mellitus
Metal level
Cu
Ca
Blood glucose
Threshold effect
title A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China
title_full A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China
title_fullStr A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China
title_full_unstemmed A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China
title_short A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China
title_sort prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in northwest china
topic Gestational diabetes mellitus
Metal level
Cu
Ca
Blood glucose
Threshold effect
url https://doi.org/10.1186/s12884-025-07336-2
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