PMID- 32251899 OWN - NLM STAT- MEDLINE DCOM- 20201120 LR - 20201120 IS - 1873-6750 (Electronic) IS - 0160-4120 (Linking) VI - 139 DP - 2020 Jun TI - Prenatal exposure to mixture of heavy metals, pesticides and phenols and IQ in children at 7 years of age: The SMBCS study. PG - 105692 LID - S0160-4120(19)34864-0 [pii] LID - 10.1016/j.envint.2020.105692 [doi] AB - OBJECTIVE: Prenatal exposure to heavy metals, pesticides and phenols has been suggested to interfere with neurodevelopment, but the neurotoxicity of their mixtures is still unclear. We aimed to elucidate the associations of maternal urinary concentrations of selected chemical mixtures with intelligence quotient (IQ) in children. METHODS: Maternal urinary concentrations of selected heavy metals, pesticide metabolites, and phenols were quantified in pregnant women who participated in the Sheyang Mini Birth Cohort Study (SMBCS) from June 2009 to January 2010. At age 7 years, child's IQ score was assessed using the Chinese version of Wechsler Intelligence Scale for Children (C-WISC) by trained pediatricians. Generalized linear regression models (GLM), Bayesian kernel machine regression (BKMR) models and elastic net regression (ENR) models were used to assess the associations of urinary concentrations individual chemicals and their mixtures with IQ scores of the 7-year-old children. RESULTS: Of 326 mother-child pairs, single-chemical models indicated that prenatal urinary concentrations of lead (Pb) and bisphenol A (BPA) were significantly negatively associated with full intelligence quotient (FIQ) among children aged 7 years [beta = -2.31, 95% confidence interval (CI): -4.13, -0.48; p = 0.013, sex interaction p-value = 0.076; beta = -1.18, 95% CI: -2.21, -0.15; p = 0.025; sex interaction p-value = 0.296, for Pb and BPA, respectively]. Stratified analysis by sex indicated that the associations were only statistically significant in boys. In multi-chemical BKMR and ENR models, statistically significant inverse association was found between prenatal urinary Pb level and boy's FIQ scores at 7 years. Furthermore, BKMR analysis indicated that the overall mixture was associated with decreases in boy's IQ when all the chemicals' concentrations were at their 75th percentiles or higher, compared to at their 50th percentiles. ENR models revealed that maternal urinary Pb levels were statistically significantly associated with lower FIQ scores (beta = -2.20, 95% CI: -4.20, -0.20; p = 0.031). CONCLUSIONS: Prenatal exposure to selected chemical mixtures may affect intellectual performance at 7 years of age, particularly in boys. Pb and BPA were suspected as primary chemicals associated with child neurodevelopment. CI - Copyright (c) 2020 The Authors. Published by Elsevier Ltd.. All rights reserved. FAU - Guo, Jianqiu AU - Guo J AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. FAU - Wu, Chunhua AU - Wu C AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. Electronic address: chwu@fudan.edu.cn. FAU - Zhang, Jiming AU - Zhang J AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. FAU - Qi, Xiaojuan AU - Qi X AD - Zhejiang Provincial Center for Disease Control and Prevention, No. 3399 Binsheng Road, Hangzhou 310051, China. FAU - Lv, Shenliang AU - Lv S AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. FAU - Jiang, Shuai AU - Jiang S AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. FAU - Zhou, Tong AU - Zhou T AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. FAU - Lu, Dasheng AU - Lu D AD - Shanghai Municipal Center for Disease Control and Prevention, No. 1380 Zhongshan West Road, Shanghai 200336, China. FAU - Feng, Chao AU - Feng C AD - Shanghai Municipal Center for Disease Control and Prevention, No. 1380 Zhongshan West Road, Shanghai 200336, China. FAU - Chang, Xiuli AU - Chang X AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. FAU - Zhang, Yubin AU - Zhang Y AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. FAU - Cao, Yang AU - Cao Y AD - Clinical Epidemiology and Biostatistics, School of Medical Sciences, Orebro University, Orebro 70182, Sweden. FAU - Wang, Guoquan AU - Wang G AD - Shanghai Municipal Center for Disease Control and Prevention, No. 1380 Zhongshan West Road, Shanghai 200336, China. FAU - Zhou, Zhijun AU - Zhou Z AD - School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China. Electronic address: zjzhou@fudan.edu.cn. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20200403 PL - Netherlands TA - Environ Int JT - Environment international JID - 7807270 RN - 0 (Metals, Heavy) RN - 0 (Pesticides) RN - 0 (Phenols) SB - IM MH - Bayes Theorem MH - Child MH - Cohort Studies MH - Female MH - Humans MH - Male MH - *Metals, Heavy/toxicity MH - *Pesticides/toxicity MH - Phenols/toxicity MH - Pregnancy MH - *Prenatal Exposure Delayed Effects/chemically induced OTO - NOTNLM OT - Bayesian kernel machine regression OT - Chemical mixture OT - Child neurodevelopment OT - Elastic net regression OT - Intelligence quotient OT - Prenatal exposure COIS- Declaration of Competing Interest The authors declare they have no actual or potential competing financial interests. EDAT- 2020/04/07 06:00 MHDA- 2020/11/21 06:00 CRDT- 2020/04/07 06:00 PHST- 2019/12/23 00:00 [received] PHST- 2020/03/24 00:00 [revised] PHST- 2020/03/25 00:00 [accepted] PHST- 2020/04/07 06:00 [pubmed] PHST- 2020/11/21 06:00 [medline] PHST- 2020/04/07 06:00 [entrez] AID - S0160-4120(19)34864-0 [pii] AID - 10.1016/j.envint.2020.105692 [doi] PST - ppublish SO - Environ Int. 2020 Jun;139:105692. doi: 10.1016/j.envint.2020.105692. Epub 2020 Apr 3.