PMID- 36270567 OWN - NLM STAT- MEDLINE DCOM- 20221109 LR - 20221109 IS - 1873-6424 (Electronic) IS - 0269-7491 (Linking) VI - 315 DP - 2022 Dec 15 TI - Associations between prenatal multiple plasma metal exposure and newborn telomere length: Effect modification by maternal age and infant sex. PG - 120451 LID - S0269-7491(22)01665-7 [pii] LID - 10.1016/j.envpol.2022.120451 [doi] AB - Exposure to metals during pregnancy may affect maternal and infant health. However, studies on the combined effects of metals on the telomere length (TL) of newborns are limited. A prospective cohort study was conducted among 1313 mother-newborn pairs in the Guangxi Zhuang Birth Cohort. The concentrations of metals in maternal plasma during the first trimester were measured using inductively coupled plasma-mass spectrometry. We explored the associations between nine plasma metals and newborn TL using generalized linear models (GLMs), principal component analysis (PCA), quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR). The GLMs revealed the inverse association between plasma arsenic (percent change, -5.56%; 95% CI: -7.69%, -3.38%) and barium concentrations (-9.84%; 95% CI: -13.81%, -5.68%) and newborn TL. Lead levels were related to significant decreases in newborn TL only in females. The PCA revealed a negative association between the PC3 and newborn TL (-4.52%; 95% CI: -6.34%, -2.68%). In the BKMR, the joint effect of metals was negatively associated with newborn TL. Qgcomp indicated that each one-tertile increase in metal mixture levels was associated with shorter newborn TL (-9.39%; 95% CI: -14.32%, -4.18%). The single and joint effects of multiple metals were more pronounced among pregnant women carrying female fetuses and among pregnant women <28 years of age. The finding suggests that prenatal exposure to arsenic, barium, antimony, and lead and mixed metals may shorten newborn TLs. The relationship between metal exposures and newborn TL may exhibit heterogeneities according to infant sex and maternal age. CI - Copyright (c) 2022 Elsevier Ltd. All rights reserved. FAU - Tang, Peng AU - Tang P AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - He, Wanting AU - He W AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Shao, Yantao AU - Shao Y AD - The Third Affiliated Hospital of Guangxi Medical University, Nanning, 530031, Guangxi, China. FAU - Liu, Bihu AU - Liu B AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Huang, Huishen AU - Huang H AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Liang, Jun AU - Liang J AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Liao, Qian AU - Liao Q AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Tang, Ying AU - Tang Y AD - Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Mo, Meile AU - Mo M AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Zhou, Yong AU - Zhou Y AD - School of Public Health, Xiangnan University, Chenzhou, 423000, China. FAU - Li, Han AU - Li H AD - Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Huang, Dongping AU - Huang D AD - Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Liu, Shun AU - Liu S AD - Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Zeng, Xiaoyun AU - Zeng X AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. FAU - Qiu, Xiaoqiang AU - Qiu X AD - Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. Electronic address: xqqiu9999@163.com. LA - eng PT - Journal Article DEP - 20221018 PL - England TA - Environ Pollut JT - Environmental pollution (Barking, Essex : 1987) JID - 8804476 RN - N712M78A8G (Arsenic) RN - 2P299V784P (Lead) RN - 24GP945V5T (Barium) SB - IM MH - Infant MH - Infant, Newborn MH - Humans MH - Pregnancy MH - Female MH - *Arsenic MH - Lead MH - Maternal Age MH - Prospective Studies MH - Telomere MH - Bayes Theorem MH - Barium MH - Cohort Studies MH - China MH - Maternal Exposure OTO - NOTNLM OT - Joint effects OT - Metals OT - Newborns OT - Plasma OT - Telomere length 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- 2022/10/22 06:00 MHDA- 2022/11/10 06:00 CRDT- 2022/10/21 19:34 PHST- 2022/07/06 00:00 [received] PHST- 2022/09/14 00:00 [revised] PHST- 2022/10/14 00:00 [accepted] PHST- 2022/10/22 06:00 [pubmed] PHST- 2022/11/10 06:00 [medline] PHST- 2022/10/21 19:34 [entrez] AID - S0269-7491(22)01665-7 [pii] AID - 10.1016/j.envpol.2022.120451 [doi] PST - ppublish SO - Environ Pollut. 2022 Dec 15;315:120451. doi: 10.1016/j.envpol.2022.120451. Epub 2022 Oct 18.