Zheng Zhanyue, Sun Tianao, Yang Minli, Tan Qitao, Pan Minglian, Zhou Yingjie, Ma Yongjie, Sun Yan
Department of Guilin Medical College, Guilin, Guangxi Zhuang Autonomous Region, China.
Department of Guilin Medical College, Guilin, Guangxi Zhuang Autonomous Region, China.
Ecotoxicol Environ Saf. 2025 Jun 15;298:118276. doi: 10.1016/j.ecoenv.2025.118276. Epub 2025 May 14.
Epidemiological investigations regarding the correlation between mixed heavy metals (HMs) exposure in early pregnancy and low birth weight (LBW) have shown contradictory findings. Moreover, investigations into the fundamental mechanisms, including the possible impacts of HMs exposure on mitochondrial DNA copy number (mtDNAcn), are limited.
This study sought to examine the influence of mixed HMs exposure during early gestation on the prevalence of LBW and to ascertain whether mtDNAcn mediates this relationship.
The Second Affiliated Hospital of Guilin Medical University conducted a nested case-control study involving 49 pregnant women who delivered LBW infants and 196 matched controls. Urine and blood samples were collected during early pregnancy, along with placental and umbilical cord blood samples at delivery. Concentrations of ten metals-magnesium(Mg), manganese(Mn), copper(Cu), arsenic(As), selenium(Se), strontium(Sr), molybdenum(Mo), cadmium(Cd), thallium(Tl), and lead(Pb)-were quantified. mtDNAcn was measured using real-time quantitative polymerase chain reaction (qPCR). Random forest analysis identified five metals-As, Se, Tl, Mn and Cd -as most strongly associated with the risk of preterm birth in LBW cases. These were selected for further analysis. Conditional logistic regression was applied to examine associations between early maternal urinary metal levels and infant malformations. To assess the combined effect of these metals on LBW, weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) were used. Finally, mediation analysis was conducted to explore whether mtDNAcn mediated the relationship between Mn exposure and LBW.
The results of the study revealed a significant association between urinary Mn concentrations and LBW, with a p-value of0.015 and an odds ratio (OR) of 2.33 (95%CI:1.18-4.58) before adjusting for confounders. After adjusting for confounders, urinary manganese concentration remained significantly associated with LBW (p=0.017), with an OR of 2.36(95%CI:1.16-4.80). The odds of LBW significantly increased as exposure levels moved from the 25th to the 75th percentile for metal combinations, with the effect becoming more pronounced when the exposure index exceeded the 60th percentile. Notably, mtDNAcn levels mediated 27%of the association between Mn exposure and the incidence of umbilical cord bypass syndrome.
In conclusion, our data suggest that changes in mtDNAcn may mediate the association between Mn exposure during early pregnancy and the development of LBW. This study not only provides new evidence of the relationship between HMs exposure and fetal developmental disorders in China, but also serves as a valuable reference for global awareness regarding the effects of environmental pollution during pregnancy on fetal health.
关于妊娠早期混合重金属(HMs)暴露与低出生体重(LBW)之间相关性的流行病学调查结果相互矛盾。此外,对其潜在机制的研究,包括HMs暴露对线粒体DNA拷贝数(mtDNAcn)可能产生的影响,也较为有限。
本研究旨在探讨妊娠早期混合HMs暴露对LBW患病率的影响,并确定mtDNAcn是否介导了这种关系。
桂林医学院第二附属医院开展了一项巢式病例对照研究,纳入49名分娩低出生体重儿的孕妇和196名匹配对照。在妊娠早期采集尿液和血液样本,并在分娩时采集胎盘和脐带血样本。对十种金属——镁(Mg)、锰(Mn)、铜(Cu)、砷(As)、硒(Se)、锶(Sr)、钼(Mo)、镉(Cd)、铊(Tl)和铅(Pb)——的浓度进行了定量分析。使用实时定量聚合酶链反应(qPCR)测量mtDNAcn。随机森林分析确定了与低出生体重儿早产风险最密切相关的五种金属——砷、硒、铊、锰和镉。选择这些金属进行进一步分析。应用条件逻辑回归来检验孕妇早期尿金属水平与婴儿畸形之间的关联。为评估这些金属对低出生体重的综合影响,使用了加权分位数和(WQS)回归和贝叶斯核机器回归(BKMR)。最后,进行中介分析以探讨mtDNAcn是否介导了锰暴露与低出生体重之间的关系。
研究结果显示,在未调整混杂因素时,尿锰浓度与低出生体重之间存在显著关联,p值为0.015,比值比(OR)为2.33(95%CI:1.18 - 4.58)。调整混杂因素后,尿锰浓度与低出生体重仍显著相关(p = 0.017),OR为2.36(95%CI:1.16 - 4.80)。随着金属组合暴露水平从第25百分位数升至第75百分位数,低出生体重的几率显著增加,当暴露指数超过第60百分位数时,这种影响更为明显。值得注意的是,mtDNAcn水平介导了锰暴露与脐带旁通综合征发生率之间27%的关联。
总之,我们的数据表明,mtDNAcn的变化可能介导了妊娠早期锰暴露与低出生体重发生之间的关联。本研究不仅为中国HMs暴露与胎儿发育障碍之间的关系提供了新证据,也为全球认识孕期环境污染对胎儿健康的影响提供了有价值的参考。