Prenatal metal mixture exposure and birth weight: A two-stage analysis in two prospective cohort studies

作     者：Jie Hu George D.Papandonatos Tongzhang Zheng Joseph M.Braun Bin Zhang Wenyu Liu Chuansha Wu Aifen Zhou Simin Liu Stephen L.Buka Kunchong Shi Wei Xia Shunqing Xu Yuanyuan Li 

作者机构：Key Laboratory of Environment and Health(HUST)Ministry of Education&Ministry of Environmental Protectionand State Key Laboratory of Environmental Health(Incubation)School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Department of EpidemiologyBrown University School of Public HealthProvidenceRI 02903USA Division of Women’s HealthDepartment of MedicineBrigham and Women’s Hospital and Harvard Medical SchoolBostonMA 02115USA Department of BiostatisticsBrown University School of Public HealthProvidenceRI 02903USA Wuhan Children’s Hospital(Wuhan Maternal and Child Healthcare Hospital)Wuhan 430019China Division of EndocrinologyDepartment of MedicineWarren Alpert Medical School of Brown UniversityProvidenceRI 02903USA 

出 版 物：《Eco-Environment & Health》 (生态环境与健康（英文）)

年 卷 期：2022年第1卷第3期

页      面：165-171页

学科分类：1002[医学-临床医学] 100211[医学-妇产科学] 100202[医学-儿科学] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China(42077398) Program for HUST Academic Frontier Youth Team(2018QYTD12)and the National Institute of Environmental Health Sciences(R01 ES024381 and R01 ES025214) 

主　　题：Prenatal exposure Metal mixture Birth cohort Two-stage analysis 

摘      要：The understanding of the impact of prenatal exposure to metal mixtures on birth weight is *** aimed to identify metal mixture components associated with birth weight and to determine additional pairwise interactions between metals showing such *** of 18 metals were measured using inductively coupled plasma mass spectrometry in urine samples collected in the 3rd trimester from a prenatal cohort(discovery;n=1849)and the Healthy Baby Cohort(replication;n=7255)in Wuhan,*** the discovery set,we used two penalized regression models,i.e.,elastic net regression for main effects and a lasso for hierarchical interactions,to identify important mixture components associated with birth weight,which were then *** observed that 8 of the 18 measured metals were retained by elastic net regression,with five metals(vanadium,manganese,iron,cesium,and barium)showing negative associations with Z-scores for birth weight and three metals(cobalt,zinc,and strontium)showing positive *** replication set,associations remained significant for vanadium(β=-0.035;95%confidence interval[CI],-0.059 to0.010),cobalt(β=-0.073;95%CI,0.049 to 0.097),and zinc(β=-0.040;95%CI,0.016 to 0.065)after Bonferroni *** additionally identified and replicated a single pairwise interaction between iron and copper exposure on birth weight(P0.001).Using a two-stage analysis,we identified and replicated individual metals and additional pairwise interactions-associated birth *** approach could be used in other studies estimating the effect of complex mixtures on human health.