Metal exposure and blood lipid biomarkers in early pregnancy: A cross-sectional study

被引:2
作者
Yang, Rui [1 ]
Sun, Fengjiang [1 ]
Pan, Xiong-Fei [2 ,3 ,4 ,5 ,6 ]
Su, Yingqian [1 ]
Wu, Ping [7 ]
Yuan, Jiaying [6 ]
Lai, Yuwei [7 ]
Pan, An [7 ]
Huang, Wei [1 ]
机构
[1] Jinan Univ, Coll Environm & Climate, Guangdong Key Lab Environm Pollut & Hlth, Guangzhou, Guangdong, Peoples R China
[2] Sichuan Univ, Sect Epidemiol & Populat Hlth, Chengdu, Sichuan, Peoples R China
[3] Sichuan Univ, Dept Gynecol & Obstet, Minist Educ, Key Lab Birth Defects & Related Dis Women & Childr, Chengdu, Sichuan, Peoples R China
[4] Sichuan Univ, West China Univ Hosp 2, Natl Med Prod Adm Key Lab Tech Res Drug Prod Vitro, Chengdu, Sichuan, Peoples R China
[5] Sichuan Univ, West China Hosp, West China Biomed Big Data Ctr, Chengdu, Sichuan, Peoples R China
[6] Shuangliu Maternal & Child Hlth Hosp, Shuangliu Inst Womens & Childrens Hlth, Chengdu, Sichuan, Peoples R China
[7] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Key Lab Environm & Hlth,Dept Epidemiol & Biostat,M, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi -metal exposure; Blood lipid biomarkers; Pregnant women; Associations; KERNEL MACHINE REGRESSION; DIABETES-MELLITUS; DYSLIPIDEMIA; TOXICITY; MIXTURE; DISEASE; COPPER; RISK; ZINC;
D O I
10.1016/j.envpol.2024.124238
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recognizing the risk factors for dyslipidemia during pregnancy is crucial for safeguarding the health of both the mothers and the offspring. Growing evidence emerged and suggested links between environmental factors, including metals, and alteration in lipid levels or dyslipidemia in general populations. However, knowledge of the associations during pregnancy remains extremely lacking. Herein, we aimed to explore whether elevated metal exposure constitutes a risk factor for dyslipidemia in pregnant women. Based on the Tongji-Shuangliu Birth Cohort (TSBC), a total of 663 pregnant women were recruited and their urinary levels of 17 metals and blood lipid biomarkers in early pregnancy were measured, namely triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). The multivariable linear regression models revealed that exposure to selected metals during early pregnancy was significantly associated with some important biomarkers. In particular, after natural log-transformed for the levels of lipid biomarkers and metals, copper (Cu) exposure was positively associated with HDL-C (beta = 0.024, 95% CI: 0.001, 0.046), while zinc (Zn) was associated with TG (beta = 0.062, 95% CI: 0.013, 0.110) and selenium with TC (beta = 0.028, 95% CI: 0.004, 0.054). Exposure to rubidium (Rb) was positively associated with multiple lipid biomarkers, including HDL-C (beta = 0.020, 95% CI: 0.002, 0.037) and LDL-C (beta = 0.022, 95% CI: 0.001, 0.042). Mixture exposure analysis further identified significant associations between Cu and HDL-C, Zn and TG, Rb and HDL-C, when multiple metal exposures were considered in the Bayesian kernel machine regression model simultaneously. Our findings showed that exposure to several metals during early pregnancy was associated with an increased prevalence of blood lipid abnormalities in pregnant women. These findings underscore the potential impact of metal combinations on lipid metabolism and increase our understanding of the risk factors associated with abnormal lipid metabolism during pregnancy.
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页数:8
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