PMID- 37413925 OWN - NLM STAT- MEDLINE DCOM- 20230807 LR - 20230807 IS - 1878-3252 (Electronic) IS - 0946-672X (Linking) VI - 79 DP - 2023 Sep TI - Prenatal polymetallic exposure and small for gestational age: A case-control study in Taiyuan, China. PG - 127243 LID - S0946-672X(23)00119-0 [pii] LID - 10.1016/j.jtemb.2023.127243 [doi] AB - BACKGROUND: Studies focused on independent effects of metals on small for gestational age, failing to account for potential interdependence among metals. METHODS: In this case-control study, we selected 187 pregnant women and 187 matched controls from the First Hospital of Shanxi Medical University. Determination of 12 elements in the venous blood of pregnant women before delivery by ICP-MS. Logistic regression, weighted quantile sum regression (WQSR) and Bayesian kernel machine regression (BKMR) were used to estimate the overall effect and identify important mixture components that drive the associations with SGA. RESULTS: An increased risk of SGA was associated with As (OR= 1.06,95%CI: 1.01,1.12), Cd (OR= 1.24,95%CI: 1.04,1.47) and Pb (OR= 1.05,95%CI: 1.02,1.08), while Zn (OR= 0.58,95%CI: 0.45,0.76) and Mn (OR= 0.97,95%CI: 0.94,0.99) were protective factors for SGA. In the WQSR positive model, the mixture of heavy metals has a positive combined effect on SGA (OR= 1.74,95%CI: 1.15, 2.62), with Sb and Cd having the highest weights. The BKMR models confirmed that the metal mixture was associated with decreased risk of SGA when the concentration of 12 metals was between the 30th percentile and the 65th percentile, and Zn and Cd had the greatest independent effect. Zn and SGA may not be linearly correlated, higher Zn level may reduce the effect of Cd on the risk of SGA. CONCLUSIONS: Our study suggested that exposure to multiple metals was associated with risk of SGA, and the observed association with multiple metals was dominated by Zn, Cd. Sb exposure during pregnancy may also increase the risk of SGA. CI - Copyright (c) 2023. Published by Elsevier GmbH. FAU - Shen, Zhitong AU - Shen Z AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. FAU - Lu, Yue AU - Lu Y AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. FAU - Song, Zexin AU - Song Z AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. FAU - Li, Jinbo AU - Li J AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. FAU - Li, Wangjun AU - Li W AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. FAU - Li, Shan AU - Li S AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. FAU - Wang, Mengru AU - Wang M AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. FAU - Feng, Yongliang AU - Feng Y AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. FAU - Wang, Suping AU - Wang S AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. Electronic address: supingwang@sxmu.edu.cn. FAU - Zhang, Yawei AU - Zhang Y AD - National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: zhangya69@foxmail.com. FAU - Wu, Weiwei AU - Wu W AD - Department of Epidemiology, School of Public Health, Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China. Electronic address: wuweiwei2008@sina.com. LA - eng PT - Journal Article DEP - 20230614 PL - Germany TA - J Trace Elem Med Biol JT - Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) JID - 9508274 RN - 00BH33GNGH (Cadmium) RN - 0 (Metals, Heavy) SB - IM MH - Infant, Newborn MH - Humans MH - Pregnancy MH - Female MH - Cadmium MH - Gestational Age MH - Case-Control Studies MH - Bayes Theorem MH - *Metals, Heavy MH - China MH - *Infant, Newborn, Diseases OTO - NOTNLM OT - Joint effect OT - Mixture analysis OT - Multi-metals OT - Small for gestational age COIS- Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. EDAT- 2023/07/07 01:05 MHDA- 2023/08/07 06:42 CRDT- 2023/07/06 18:09 PHST- 2023/03/10 00:00 [received] PHST- 2023/06/09 00:00 [revised] PHST- 2023/06/12 00:00 [accepted] PHST- 2023/08/07 06:42 [medline] PHST- 2023/07/07 01:05 [pubmed] PHST- 2023/07/06 18:09 [entrez] AID - S0946-672X(23)00119-0 [pii] AID - 10.1016/j.jtemb.2023.127243 [doi] PST - ppublish SO - J Trace Elem Med Biol. 2023 Sep;79:127243. doi: 10.1016/j.jtemb.2023.127243. Epub 2023 Jun 14.