Associations of maternal exposure to multiple plasma trace elements with the prevalence of fetal congenital heart defects : A nested case-control study
Copyright © 2023. Published by Elsevier B.V..
BACKGROUND: Scanty knowledge prevails regarding the combined impact of multiple plasma trace elements and main contributors on the prevalence of congenital heart defects (CHDs) in offspring. Thus, we performed a nested case-control analysis in a neonates cohort to investigate this important public health issue.
METHODS: We selected 164 pairs of cases and non-malformed controls from live births registered in the parent cohort (n = 11,578) at the same hospital. Plasma levels of 14 trace elements were determined by inductively coupled plasma-mass spectrometry. The odds ratios (ORs) of exposure were compared between cases and controls. Bayesian Kernel Machine Regression (BKMR) and Quantile g-Computation (QgC) models were employed to assess the cumulative effect of exposure to trace elements.
RESULTS: We found positive associations and linear dose-response relationships between plasma Pb and Sn and CHD. BKMR models indicated that the overall effect of the trace element mixture was associated with CHDs below the 45th percentile or above the 50th percentile, and the combined effect was primarily attributed to Sn and Pb. The QgC model indicated significantly increased odds of CHD with simultaneous exposure to all studied trace elements (OR: 2.19, 95%CI: 1.44-3.33).
CONCLUSIONS: This study is the first to report an association between elevated levels of mixed trace elements in maternal plasma with an increased prevalence of fetal CHDs, particularly in the case of Pb and Sn. Findings from this study provide further evidence of the important of heavy metal pollution to human health, and can help stakeholders prioritize policies and develop interventions to target the leading contributors to human exposure.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:912 |
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Enthalten in: |
The Science of the total environment - 912(2024) vom: 20. Jan., Seite 169409 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Nie, Zhiqiang [VerfasserIn] |
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Anmerkungen: |
Date Completed 29.01.2024 Date Revised 29.01.2024 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.scitotenv.2023.169409 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM366047019 |
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500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2023. Published by Elsevier B.V. | ||
520 | |a BACKGROUND: Scanty knowledge prevails regarding the combined impact of multiple plasma trace elements and main contributors on the prevalence of congenital heart defects (CHDs) in offspring. Thus, we performed a nested case-control analysis in a neonates cohort to investigate this important public health issue | ||
520 | |a METHODS: We selected 164 pairs of cases and non-malformed controls from live births registered in the parent cohort (n = 11,578) at the same hospital. Plasma levels of 14 trace elements were determined by inductively coupled plasma-mass spectrometry. The odds ratios (ORs) of exposure were compared between cases and controls. Bayesian Kernel Machine Regression (BKMR) and Quantile g-Computation (QgC) models were employed to assess the cumulative effect of exposure to trace elements | ||
520 | |a RESULTS: We found positive associations and linear dose-response relationships between plasma Pb and Sn and CHD. BKMR models indicated that the overall effect of the trace element mixture was associated with CHDs below the 45th percentile or above the 50th percentile, and the combined effect was primarily attributed to Sn and Pb. The QgC model indicated significantly increased odds of CHD with simultaneous exposure to all studied trace elements (OR: 2.19, 95%CI: 1.44-3.33) | ||
520 | |a CONCLUSIONS: This study is the first to report an association between elevated levels of mixed trace elements in maternal plasma with an increased prevalence of fetal CHDs, particularly in the case of Pb and Sn. Findings from this study provide further evidence of the important of heavy metal pollution to human health, and can help stakeholders prioritize policies and develop interventions to target the leading contributors to human exposure | ||
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700 | 1 | |a Liu, Mingqin |e verfasserin |4 aut | |
700 | 1 | |a Chu, Chu |e verfasserin |4 aut | |
700 | 1 | |a Bloom, Michael S |e verfasserin |4 aut | |
700 | 1 | |a Ou, Yanqiu |e verfasserin |4 aut | |
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