Chen Guozhen, Wu Li, Ji Cunwei, Xia Jianhong, Liu Guocheng
Guangdong Women and Children Hospital, Guangzhou, China.
Front Nutr. 2025 Jun 19;12:1554840. doi: 10.3389/fnut.2025.1554840. eCollection 2025.
The purpose was to assess the levels of iron (Fe), magnesium (Mg), copper (Cu), calcium (Ca), zinc (Zn) in the blood of pregnant women during early pregnancy, and to evaluate their potential association with gestational diabetes mellitus (GDM).
We enrolled 9,112 pregnant women who underwent testing for essential metal elements at Guangdong Women and Children Hospital during the first trimester in 2015-2022. The basic information of pregnant women and peripheral blood samples were collected, and five essential metal elements in whole blood were detected by atomic absorption spectrometry. The relationship between these essential metal elements and GDM was analyzed using the generalized linear regression model (GLM), weighted quantile sum regression (WQS), quantile g-computation regression (QGC), and Bayesian kernel machine regression (BKMR).
Analysis of the correlation between essential metal elements and GDM revealed significant associations. Compared with the first quantile concentration level, the fourth quantile level of Fe ( = 1.347, 95%: 1.158 ~ 1.568), Zn ( = 1.379, 95%: 1.185 ~ 1.606) and Mg ( = 1.192, 95%: 1.022 ~ 1.392) exhibited significant associations with GDM. Restricted cubic spline (RCS) analysis showed a positive linear relationship between Fe, Zn, and Mg and GDM risk ( < 0.05 and > 0.05). WQS analysis showed that the WQS index had a significant positive correlation with GDM ( = 1.129, 95%: 1.023 ~ 1.247), with Fe (0.446) having greater weight. QGC analysis revealed a positive correlation between the combined action of five essential metal elements and GDM risk ( = 1.161, 95%: 1.075 ~ 1.248), with Zn (0.454) and Fe (0.417) showing greater influence. In BKMR analysis, the combined effect of all essential metal elements on GDM showed an overall upward trend, with Fe (PIP = 0.772) having the most significant influence. No interaction between essential metal elements and GDM was found in this study.
Higher levels of Fe, Zn and Mg were positively correlated with GDM risk. The combined action of five essential metal elements was positively correlated with GDM, with Fe identified as playing the most significant role.
本研究旨在评估孕早期孕妇血液中铁(Fe)、镁(Mg)、铜(Cu)、钙(Ca)、锌(Zn)的水平,并评估它们与妊娠期糖尿病(GDM)的潜在关联。
我们纳入了2015年至2022年在广东省妇幼保健院孕早期接受必需金属元素检测的9112名孕妇。收集孕妇的基本信息和外周血样本,采用原子吸收光谱法检测全血中的5种必需金属元素。使用广义线性回归模型(GLM)、加权分位数和回归(WQS)、分位数g计算回归(QGC)和贝叶斯核机器回归(BKMR)分析这些必需金属元素与GDM之间的关系。
必需金属元素与GDM的相关性分析显示存在显著关联。与第一分位数浓度水平相比,Fe(β = 1.347,95%CI:1.158 ~ 1.568)、Zn(β = 1.379,95%CI:1.185 ~ 1.606)和Mg(β = 1.192,95%CI:1.022 ~ 1.392)的第四分位数水平与GDM存在显著关联。限制立方样条(RCS)分析显示Fe、Zn和Mg与GDM风险呈正线性关系(P < 0.05且P > 0.05)。WQS分析显示WQS指数与GDM呈显著正相关(β = 1.129,95%CI:1.023 ~ 1.247),其中Fe(0.446)权重更大。QGC分析显示5种必需金属元素的联合作用与GDM风险呈正相关(β = 1.161,95%CI:1.075 ~ 1.248),其中Zn(0.454)和Fe(0.417)影响更大。在BKMR分析中,所有必需金属元素对GDM的联合效应总体呈上升趋势,其中Fe(PIP = 0.772)影响最为显著。本研究未发现必需金属元素与GDM之间存在相互作用。
较高水平的Fe、Zn和Mg与GDM风险呈正相关。5种必需金属元素的联合作用与GDM呈正相关,其中Fe起最显著作用。