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 |
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container_title | Journal of exposure science & environmental epidemiology |
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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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2792498001</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2792498001</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-5b995e0808769673c642d86ed5c8a57db50e870f63b0d109c26ccd28af8e3dfa3</originalsourceid><addsrcrecordid>eNp9kUtr3DAUhUVoyfsPdFEM3WSj5lpvLUto00JCNg1kJzTSdcfBtqaSHTr_PppOmkIXXUnofOfocg8h71r42AI3l0W0XAMFximA5JbaA3LcSmkpKPHw5vXO2yNyUsojgBBawSE54spqLpk5JvF2GeZ-M2CDvzapLBlLM6dmjf5p24w4-6E0fopNWPvpR9X6qSkz5tTHZp3ymKb6tskpLmHu07STBd2izzQNO1M_xIzTGXnb1SA8fzlPyf2Xz9-vvtKbu-tvV59uaOBazlSurJUIBoxWVmkelGDRKIwyGC91XElAo6FTfAWxBRuYCiEy4zuDPHaen5KLfW6d6OeCZXZjXwIOg58wLcUxbZmwBqCt6Id_0Me05KlO55gFAZwJIyvF9lTIqZSMndvkfvR561pwuw7cvgNXO3C_O3C2mt6_RC-rEeOr5c_SK8D3QKlS3Wr--_d_Yp8B8-SSMA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2904032485</pqid></control><display><type>article</type><title>Multiple exposures to heavy metals and changes in steroid hormones production in 4-year-old children</title><source>MEDLINE</source><source>Alma/SFX Local Collection</source><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</creator><creatorcontrib>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</creatorcontrib><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.</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 & 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 & environmental epidemiology, 2023-11, Vol.33 (6), p.865-873</ispartof><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Nature America, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-5b995e0808769673c642d86ed5c8a57db50e870f63b0d109c26ccd28af8e3dfa3</citedby><cites>FETCH-LOGICAL-c375t-5b995e0808769673c642d86ed5c8a57db50e870f63b0d109c26ccd28af8e3dfa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36973528$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shi, Li Li</creatorcontrib><creatorcontrib>Hang, Jin Guo</creatorcontrib><creatorcontrib>Lou, Jianlin</creatorcontrib><creatorcontrib>Dong, Jing Jian</creatorcontrib><creatorcontrib>Feng, Hao</creatorcontrib><creatorcontrib>Wang, Zheng</creatorcontrib><creatorcontrib>Shen, Bin</creatorcontrib><creatorcontrib>Nakayama, Shoji F.</creatorcontrib><creatorcontrib>Kido, Teruhiko</creatorcontrib><creatorcontrib>Ma, Chaochen</creatorcontrib><creatorcontrib>Sun, Xian Liang</creatorcontrib><creatorcontrib>Jung, Chau-Ren</creatorcontrib><title>Multiple exposures to heavy metals and changes in steroid hormones production in 4-year-old children</title><title>Journal of exposure science & environmental epidemiology</title><addtitle>J Expo Sci Environ Epidemiol</addtitle><addtitle>J Expo Sci Environ Epidemiol</addtitle><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.</description><subject>Androstenedione</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Breast milk</subject><subject>Cadmium</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Childrens health</subject><subject>Dehydroepiandrosterone</subject><subject>Dose-response effects</subject><subject>Electronic waste</subject><subject>Endocrine system</subject><subject>Epidemiology</subject><subject>Exposure</subject><subject>Female</subject><subject>Gonadal Steroid Hormones</subject><subject>Heavy metals</subject><subject>Hormones</subject><subject>Humans</subject><subject>Inductively coupled plasma mass spectrometry</subject><subject>Lead</subject><subject>Long-term effects</subject><subject>Male</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Mathematical models</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mercury</subject><subject>Mercury (metal)</subject><subject>Mercury - analysis</subject><subject>Metals, Heavy</subject><subject>Pregnancy</subject><subject>Prenatal experience</subject><subject>Prenatal Exposure Delayed Effects</subject><subject>Progesterone</subject><subject>Regression models</subject><subject>Reproductive health</subject><subject>Sex hormones</subject><subject>Statistical analysis</subject><subject>Steroid hormones</subject><subject>Steroids</subject><subject>Testosterone</subject><issn>1559-0631</issn><issn>1559-064X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUtr3DAUhUVoyfsPdFEM3WSj5lpvLUto00JCNg1kJzTSdcfBtqaSHTr_PppOmkIXXUnofOfocg8h71r42AI3l0W0XAMFximA5JbaA3LcSmkpKPHw5vXO2yNyUsojgBBawSE54spqLpk5JvF2GeZ-M2CDvzapLBlLM6dmjf5p24w4-6E0fopNWPvpR9X6qSkz5tTHZp3ymKb6tskpLmHu07STBd2izzQNO1M_xIzTGXnb1SA8fzlPyf2Xz9-vvtKbu-tvV59uaOBazlSurJUIBoxWVmkelGDRKIwyGC91XElAo6FTfAWxBRuYCiEy4zuDPHaen5KLfW6d6OeCZXZjXwIOg58wLcUxbZmwBqCt6Id_0Me05KlO55gFAZwJIyvF9lTIqZSMndvkfvR561pwuw7cvgNXO3C_O3C2mt6_RC-rEeOr5c_SK8D3QKlS3Wr--_d_Yp8B8-SSMA</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Shi, Li Li</creator><creator>Hang, Jin Guo</creator><creator>Lou, Jianlin</creator><creator>Dong, Jing Jian</creator><creator>Feng, Hao</creator><creator>Wang, Zheng</creator><creator>Shen, Bin</creator><creator>Nakayama, Shoji F.</creator><creator>Kido, Teruhiko</creator><creator>Ma, Chaochen</creator><creator>Sun, Xian Liang</creator><creator>Jung, Chau-Ren</creator><general>Nature Publishing Group US</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7ST</scope><scope>7T2</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20231101</creationdate><title>Multiple exposures to heavy metals and changes in steroid hormones production in 4-year-old children</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-5b995e0808769673c642d86ed5c8a57db50e870f63b0d109c26ccd28af8e3dfa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Androstenedione</topic><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Breast milk</topic><topic>Cadmium</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Childrens health</topic><topic>Dehydroepiandrosterone</topic><topic>Dose-response effects</topic><topic>Electronic waste</topic><topic>Endocrine system</topic><topic>Epidemiology</topic><topic>Exposure</topic><topic>Female</topic><topic>Gonadal Steroid Hormones</topic><topic>Heavy metals</topic><topic>Hormones</topic><topic>Humans</topic><topic>Inductively coupled plasma mass spectrometry</topic><topic>Lead</topic><topic>Long-term effects</topic><topic>Male</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Mathematical models</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mercury</topic><topic>Mercury (metal)</topic><topic>Mercury - analysis</topic><topic>Metals, Heavy</topic><topic>Pregnancy</topic><topic>Prenatal experience</topic><topic>Prenatal Exposure Delayed Effects</topic><topic>Progesterone</topic><topic>Regression models</topic><topic>Reproductive health</topic><topic>Sex hormones</topic><topic>Statistical analysis</topic><topic>Steroid hormones</topic><topic>Steroids</topic><topic>Testosterone</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Li Li</creatorcontrib><creatorcontrib>Hang, Jin Guo</creatorcontrib><creatorcontrib>Lou, Jianlin</creatorcontrib><creatorcontrib>Dong, Jing Jian</creatorcontrib><creatorcontrib>Feng, Hao</creatorcontrib><creatorcontrib>Wang, Zheng</creatorcontrib><creatorcontrib>Shen, Bin</creatorcontrib><creatorcontrib>Nakayama, Shoji F.</creatorcontrib><creatorcontrib>Kido, Teruhiko</creatorcontrib><creatorcontrib>Ma, Chaochen</creatorcontrib><creatorcontrib>Sun, Xian Liang</creatorcontrib><creatorcontrib>Jung, Chau-Ren</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of exposure science & environmental epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Li Li</au><au>Hang, Jin Guo</au><au>Lou, Jianlin</au><au>Dong, Jing Jian</au><au>Feng, Hao</au><au>Wang, Zheng</au><au>Shen, Bin</au><au>Nakayama, Shoji F.</au><au>Kido, Teruhiko</au><au>Ma, Chaochen</au><au>Sun, Xian Liang</au><au>Jung, Chau-Ren</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple exposures to heavy metals and changes in steroid hormones production in 4-year-old children</atitle><jtitle>Journal of exposure science & 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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