Multiple exposures to heavy metals and changes in steroid hormones production in 4-year-old children

Background Prenatal exposure to multiple heavy metals can interfere with early neurodevelopment, lead to changes in sex hormone concentrations in children, and affect female reproductive health. To date, the influence of prenatal exposure to heavy metals on the endocrine system of children in Chines...

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Veröffentlicht in:Journal of exposure science & environmental epidemiology 2023-11, Vol.33 (6), p.865-873
Hauptverfasser: Shi, Li Li, Hang, Jin Guo, Lou, Jianlin, Dong, Jing Jian, Feng, Hao, Wang, Zheng, Shen, Bin, Nakayama, Shoji F., Kido, Teruhiko, Ma, Chaochen, Sun, Xian Liang, Jung, Chau-Ren
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container_issue 6
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container_title Journal of exposure science & environmental epidemiology
container_volume 33
creator Shi, Li Li
Hang, Jin Guo
Lou, Jianlin
Dong, Jing Jian
Feng, Hao
Wang, Zheng
Shen, Bin
Nakayama, Shoji F.
Kido, Teruhiko
Ma, Chaochen
Sun, Xian Liang
Jung, Chau-Ren
description Background Prenatal exposure to multiple heavy metals can interfere with early neurodevelopment, lead to changes in sex hormone concentrations in children, and affect female reproductive health. To date, the influence of prenatal exposure to heavy metals on the endocrine system of children in Chinese electronic waste (e-waste) recycling areas has not been elucidated. Methods Four weeks after delivery, 10 mL of human milk was collected for analysis of three heavy metals (lead (Pb), cadmium (Cd), and mercury (Hg)) via inductively coupled plasma mass spectrometry (ICP-MS). Four serum steroid hormones, including progesterone, testosterone, androstenedione (A-dione), and dehydroepiandrosterone (DHEA), were analyzed in 4-year-old children (25 boys and 17 girls). A multiple linear regression (MLR) model was implemented to investigate the association between each individual metal and serum steroid hormone. The exposure-response relationships were explored by generalized additive models (GAMs). Additionally, a Bayesian kernel machine regression (BKMR) model was used to assess the effects of multiple heavy metal exposures on each steroid hormone. Results The MLR results show a significant positive association between a natural log unit increase in Hg and DHEA levels after adjusting for confounders ( β  = 65.50, 95% confidence interval (CI) = 4.37, 126.62). According to the GAM, the univariate exposure-response relationship of Hg on DHEA was almost linear. However, this association was attenuated based on the multiple metal MLR and BKMR results after accounting for multiple heavy metal exposures. Significance Prenatal Hg exposure may affect sex hormones in children by affecting DHEA levels. Impact statement Prenatal maternal exposure to Hg may have long-term effects on the next generation. Hence, regulatory measures to reduce Hg exposure and long-term monitoring of children’s health in e-waste areas are needed.
doi_str_mv 10.1038/s41370-023-00539-9
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To date, the influence of prenatal exposure to heavy metals on the endocrine system of children in Chinese electronic waste (e-waste) recycling areas has not been elucidated. Methods Four weeks after delivery, 10 mL of human milk was collected for analysis of three heavy metals (lead (Pb), cadmium (Cd), and mercury (Hg)) via inductively coupled plasma mass spectrometry (ICP-MS). Four serum steroid hormones, including progesterone, testosterone, androstenedione (A-dione), and dehydroepiandrosterone (DHEA), were analyzed in 4-year-old children (25 boys and 17 girls). A multiple linear regression (MLR) model was implemented to investigate the association between each individual metal and serum steroid hormone. The exposure-response relationships were explored by generalized additive models (GAMs). Additionally, a Bayesian kernel machine regression (BKMR) model was used to assess the effects of multiple heavy metal exposures on each steroid hormone. Results The MLR results show a significant positive association between a natural log unit increase in Hg and DHEA levels after adjusting for confounders ( β  = 65.50, 95% confidence interval (CI) = 4.37, 126.62). According to the GAM, the univariate exposure-response relationship of Hg on DHEA was almost linear. However, this association was attenuated based on the multiple metal MLR and BKMR results after accounting for multiple heavy metal exposures. Significance Prenatal Hg exposure may affect sex hormones in children by affecting DHEA levels. Impact statement Prenatal maternal exposure to Hg may have long-term effects on the next generation. Hence, regulatory measures to reduce Hg exposure and long-term monitoring of children’s health in e-waste areas are needed.</description><identifier>ISSN: 1559-0631</identifier><identifier>EISSN: 1559-064X</identifier><identifier>DOI: 10.1038/s41370-023-00539-9</identifier><identifier>PMID: 36973528</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>Androstenedione ; Bayes Theorem ; Bayesian analysis ; Breast milk ; Cadmium ; Child, Preschool ; Children ; Childrens health ; Dehydroepiandrosterone ; Dose-response effects ; Electronic waste ; Endocrine system ; Epidemiology ; Exposure ; Female ; Gonadal Steroid Hormones ; Heavy metals ; Hormones ; Humans ; Inductively coupled plasma mass spectrometry ; Lead ; Long-term effects ; Male ; Mass spectrometry ; Mass spectroscopy ; Mathematical models ; Medicine ; Medicine &amp; Public Health ; Mercury ; Mercury (metal) ; Mercury - analysis ; Metals, Heavy ; Pregnancy ; Prenatal experience ; Prenatal Exposure Delayed Effects ; Progesterone ; Regression models ; Reproductive health ; Sex hormones ; Statistical analysis ; Steroid hormones ; Steroids ; Testosterone</subject><ispartof>Journal of exposure science &amp; environmental epidemiology, 2023-11, Vol.33 (6), p.865-873</ispartof><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2023. 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To date, the influence of prenatal exposure to heavy metals on the endocrine system of children in Chinese electronic waste (e-waste) recycling areas has not been elucidated. Methods Four weeks after delivery, 10 mL of human milk was collected for analysis of three heavy metals (lead (Pb), cadmium (Cd), and mercury (Hg)) via inductively coupled plasma mass spectrometry (ICP-MS). Four serum steroid hormones, including progesterone, testosterone, androstenedione (A-dione), and dehydroepiandrosterone (DHEA), were analyzed in 4-year-old children (25 boys and 17 girls). A multiple linear regression (MLR) model was implemented to investigate the association between each individual metal and serum steroid hormone. The exposure-response relationships were explored by generalized additive models (GAMs). Additionally, a Bayesian kernel machine regression (BKMR) model was used to assess the effects of multiple heavy metal exposures on each steroid hormone. 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environmental epidemiology</jtitle><stitle>J Expo Sci Environ Epidemiol</stitle><addtitle>J Expo Sci Environ Epidemiol</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>33</volume><issue>6</issue><spage>865</spage><epage>873</epage><pages>865-873</pages><issn>1559-0631</issn><eissn>1559-064X</eissn><abstract>Background Prenatal exposure to multiple heavy metals can interfere with early neurodevelopment, lead to changes in sex hormone concentrations in children, and affect female reproductive health. To date, the influence of prenatal exposure to heavy metals on the endocrine system of children in Chinese electronic waste (e-waste) recycling areas has not been elucidated. Methods Four weeks after delivery, 10 mL of human milk was collected for analysis of three heavy metals (lead (Pb), cadmium (Cd), and mercury (Hg)) via inductively coupled plasma mass spectrometry (ICP-MS). Four serum steroid hormones, including progesterone, testosterone, androstenedione (A-dione), and dehydroepiandrosterone (DHEA), were analyzed in 4-year-old children (25 boys and 17 girls). A multiple linear regression (MLR) model was implemented to investigate the association between each individual metal and serum steroid hormone. The exposure-response relationships were explored by generalized additive models (GAMs). Additionally, a Bayesian kernel machine regression (BKMR) model was used to assess the effects of multiple heavy metal exposures on each steroid hormone. Results The MLR results show a significant positive association between a natural log unit increase in Hg and DHEA levels after adjusting for confounders ( β  = 65.50, 95% confidence interval (CI) = 4.37, 126.62). According to the GAM, the univariate exposure-response relationship of Hg on DHEA was almost linear. However, this association was attenuated based on the multiple metal MLR and BKMR results after accounting for multiple heavy metal exposures. Significance Prenatal Hg exposure may affect sex hormones in children by affecting DHEA levels. Impact statement Prenatal maternal exposure to Hg may have long-term effects on the next generation. Hence, regulatory measures to reduce Hg exposure and long-term monitoring of children’s health in e-waste areas are needed.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>36973528</pmid><doi>10.1038/s41370-023-00539-9</doi><tpages>9</tpages></addata></record>
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subjects Androstenedione
Bayes Theorem
Bayesian analysis
Breast milk
Cadmium
Child, Preschool
Children
Childrens health
Dehydroepiandrosterone
Dose-response effects
Electronic waste
Endocrine system
Epidemiology
Exposure
Female
Gonadal Steroid Hormones
Heavy metals
Hormones
Humans
Inductively coupled plasma mass spectrometry
Lead
Long-term effects
Male
Mass spectrometry
Mass spectroscopy
Mathematical models
Medicine
Medicine & Public Health
Mercury
Mercury (metal)
Mercury - analysis
Metals, Heavy
Pregnancy
Prenatal experience
Prenatal Exposure Delayed Effects
Progesterone
Regression models
Reproductive health
Sex hormones
Statistical analysis
Steroid hormones
Steroids
Testosterone
title Multiple exposures to heavy metals and changes in steroid hormones production in 4-year-old children
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