Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study
Background: Prenatal metals exposure and its effects on infant neurodevelopment have garnered significant attention. However, most studies focus on individual metals, neglecting combined effects. Objectives: We aimed to assess the effects of both single and combined prenatal metals exposure on one-y...
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Elsevier
2025-02-01
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| Series: | Ecotoxicology and Environmental Safety |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651325001964 |
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| author | Xiao-Yuan Fan Xian-Shu Lin Bing-Rui Yang Han-Wen Zhang Feng Tang Jia-Jia Tang He-Bin Chi Toby Mansell Noora Kartiosuo Yin-Yin Xia Ting-Li Han Hua Zhang Philip Baker Richard Saffery |
| author_facet | Xiao-Yuan Fan Xian-Shu Lin Bing-Rui Yang Han-Wen Zhang Feng Tang Jia-Jia Tang He-Bin Chi Toby Mansell Noora Kartiosuo Yin-Yin Xia Ting-Li Han Hua Zhang Philip Baker Richard Saffery |
| author_sort | Xiao-Yuan Fan |
| collection | DOAJ |
| description | Background: Prenatal metals exposure and its effects on infant neurodevelopment have garnered significant attention. However, most studies focus on individual metals, neglecting combined effects. Objectives: We aimed to assess the effects of both single and combined prenatal metals exposure on one-year-old infants’ neurodevelopment. Methods: This study included 189 mother-infant pairs from the Complex Lipids in Mothers and Babies (CLIMB) cohort. The concentrations of 21 metallic elements and 2 metalloids in umbilical cord blood (UCB) serum were measured using inductively coupled plasma mass spectrometry (ICP-MS). Neurodevelopment was measured using Chinese version of Bayley Scales of Infant Development (BSID) for the Psychomotor Development Index (PDI) and the Mental Development Index (MDI). Multiple statistical methods, including linear models, restricted cubic splines (RCS), weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR). Results: After adjusting for potential confounders, prenatal arsenic (As) and strontium (Sr) levels were associated with lower PDI scores (As: β = −2.324; 95 % CI: −4.61, −0.04; Sr: β = −2.426; 95 % CI: −4.67, −0.18) by linear regression, while Sr was associated with lower MDI scores (β = −2.841; 95 % CI: −5.44, −0.25). RCS models revealed nonlinear dose-response relationships between manganese (Mn) and calcium (Ca) with PDI, and for Mn, As, and zirconium (Zr) with MDI. Interactions between certain metals were also identified. Metals mixture had an overall negative effect on both PDI and MDI scores, with Mn being the primary contributor. Conclusion: Prenatal exposure to selected metals or metal mixtures is associated with poorer neurodevelopment in one-year-old infants. |
| format | Article |
| id | doaj-art-b192481555134014b64d2b0889dff61e |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-b192481555134014b64d2b0889dff61e2025-02-08T04:59:22ZengElsevierEcotoxicology and Environmental Safety0147-65132025-02-01291117860Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB studyXiao-Yuan Fan0Xian-Shu Lin1Bing-Rui Yang2Han-Wen Zhang3Feng Tang4Jia-Jia Tang5He-Bin Chi6Toby Mansell7Noora Kartiosuo8Yin-Yin Xia9Ting-Li Han10Hua Zhang11Philip Baker12Richard Saffery13School of Public Health, Chongqing Medical University, Chongqing, ChinaSchool of Public Health, Chongqing Medical University, Chongqing, ChinaSchool of Public Health, Chongqing Medical University, Chongqing, ChinaDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaSchool of Public Health, Chongqing Medical University, Chongqing, ChinaSchool of Public Health, Chongqing Medical University, Chongqing, ChinaSchool of Public Health, Chongqing Medical University, Chongqing, ChinaMolecular Immunity, Murdoch Children’s Research Institute, Melbourne, VIC, AustraliaResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, FinlandSchool of Public Health, Chongqing Medical University, Chongqing, China; Correspondence to: School of Public Health, Chongqing Medical University, Chongqing 400016, China.Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China; Correspondence to: Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaCollege of Life Sciences, University of Leicester, Leicester, United KingdomMolecular Immunity, Murdoch Children’s Research Institute, Melbourne, VIC, AustraliaBackground: Prenatal metals exposure and its effects on infant neurodevelopment have garnered significant attention. However, most studies focus on individual metals, neglecting combined effects. Objectives: We aimed to assess the effects of both single and combined prenatal metals exposure on one-year-old infants’ neurodevelopment. Methods: This study included 189 mother-infant pairs from the Complex Lipids in Mothers and Babies (CLIMB) cohort. The concentrations of 21 metallic elements and 2 metalloids in umbilical cord blood (UCB) serum were measured using inductively coupled plasma mass spectrometry (ICP-MS). Neurodevelopment was measured using Chinese version of Bayley Scales of Infant Development (BSID) for the Psychomotor Development Index (PDI) and the Mental Development Index (MDI). Multiple statistical methods, including linear models, restricted cubic splines (RCS), weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR). Results: After adjusting for potential confounders, prenatal arsenic (As) and strontium (Sr) levels were associated with lower PDI scores (As: β = −2.324; 95 % CI: −4.61, −0.04; Sr: β = −2.426; 95 % CI: −4.67, −0.18) by linear regression, while Sr was associated with lower MDI scores (β = −2.841; 95 % CI: −5.44, −0.25). RCS models revealed nonlinear dose-response relationships between manganese (Mn) and calcium (Ca) with PDI, and for Mn, As, and zirconium (Zr) with MDI. Interactions between certain metals were also identified. Metals mixture had an overall negative effect on both PDI and MDI scores, with Mn being the primary contributor. Conclusion: Prenatal exposure to selected metals or metal mixtures is associated with poorer neurodevelopment in one-year-old infants.http://www.sciencedirect.com/science/article/pii/S0147651325001964NeurodevelopmentPrenatal exposureMetalsMetalloidsMixtures |
| spellingShingle | Xiao-Yuan Fan Xian-Shu Lin Bing-Rui Yang Han-Wen Zhang Feng Tang Jia-Jia Tang He-Bin Chi Toby Mansell Noora Kartiosuo Yin-Yin Xia Ting-Li Han Hua Zhang Philip Baker Richard Saffery Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study Ecotoxicology and Environmental Safety Neurodevelopment Prenatal exposure Metals Metalloids Mixtures |
| title | Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study |
| title_full | Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study |
| title_fullStr | Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study |
| title_full_unstemmed | Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study |
| title_short | Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study |
| title_sort | relationship between prenatal metals exposure and neurodevelopment in one year old infants in the climb study |
| topic | Neurodevelopment Prenatal exposure Metals Metalloids Mixtures |
| url | http://www.sciencedirect.com/science/article/pii/S0147651325001964 |
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