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Time-varying associations between prenatal metal mixtures and rapid visual processing in children

BACKGROUND: Humans are exposed to mixtures of chemicals across their lifetimes, a concept sometimes called the “exposome.” Mixtures likely have temporal “critical windows” of susceptibility like single agents and measuring them repeatedly might help to define such windows. Common approaches to evalu...

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Autores principales: Levin-Schwartz, Yuri, Gennings, Chris, Schnaas, Lourdes, del Carmen Hernández Chávez, María, Bellinger, David C., Téllez-Rojo, Martha Maria, Baccarelli, Andrea A., Wright, Robert O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822453/
https://www.ncbi.nlm.nih.gov/pubmed/31666078
http://dx.doi.org/10.1186/s12940-019-0526-y
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author Levin-Schwartz, Yuri
Gennings, Chris
Schnaas, Lourdes
del Carmen Hernández Chávez, María
Bellinger, David C.
Téllez-Rojo, Martha Maria
Baccarelli, Andrea A.
Wright, Robert O.
author_facet Levin-Schwartz, Yuri
Gennings, Chris
Schnaas, Lourdes
del Carmen Hernández Chávez, María
Bellinger, David C.
Téllez-Rojo, Martha Maria
Baccarelli, Andrea A.
Wright, Robert O.
author_sort Levin-Schwartz, Yuri
collection PubMed
description BACKGROUND: Humans are exposed to mixtures of chemicals across their lifetimes, a concept sometimes called the “exposome.” Mixtures likely have temporal “critical windows” of susceptibility like single agents and measuring them repeatedly might help to define such windows. Common approaches to evaluate the effects of chemical mixtures have focused on their effects at a single time point. Our goal is to expand upon these previous techniques and examine the time-varying critical windows for metal mixtures on subsequent neurobehavior in children. METHODS: We propose two methods, joint weighted quantile sum regression (JWQS) and meta-weighted quantile sum regression (MWQS), to estimate the effects of chemical mixtures measured across multiple time points, while providing data on their critical windows of exposure. We compare the performance of both methods using simulations. We also applied both techniques to assess second and third trimester metal mixture effects in predicting performance in the Rapid Visual Processing (RVP) task from the Cambridge Neuropsychological Test Automated Battery (CANTAB) assessed at 6–9 years in children who are part of the PROGRESS (Programming Research in Obesity, GRowth, Environment and Social Stressors) longitudinal cohort study. The metals, arsenic, cadmium (Cd), cesium, chromium, lead (Pb) and antimony (Sb) were selected based on their toxicological profile. RESULTS: In simulations, JWQS and MWQS had over 80% accuracy in classifying exposures as either strongly or weakly contributing to an association. In real data, both JWQS and MWQS consistently found that Pb and Cd exposure jointly predicted longer latency in the RVP and that second trimester exposure better predicted the results than the third trimester. Additionally, both JWQS and MWQS highlighted the strong association Cd and Sb had with lower accuracy in the RVP and that third trimester exposure was a better predictor than second trimester exposure. CONCLUSIONS: Our results indicate that metal mixtures effects vary across time, have distinct critical windows and that both JWQS and MWQS can determine longitudinal mixture effects including the cumulative contribution of each exposure and critical windows of effect.
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spelling pubmed-68224532019-11-06 Time-varying associations between prenatal metal mixtures and rapid visual processing in children Levin-Schwartz, Yuri Gennings, Chris Schnaas, Lourdes del Carmen Hernández Chávez, María Bellinger, David C. Téllez-Rojo, Martha Maria Baccarelli, Andrea A. Wright, Robert O. Environ Health Research BACKGROUND: Humans are exposed to mixtures of chemicals across their lifetimes, a concept sometimes called the “exposome.” Mixtures likely have temporal “critical windows” of susceptibility like single agents and measuring them repeatedly might help to define such windows. Common approaches to evaluate the effects of chemical mixtures have focused on their effects at a single time point. Our goal is to expand upon these previous techniques and examine the time-varying critical windows for metal mixtures on subsequent neurobehavior in children. METHODS: We propose two methods, joint weighted quantile sum regression (JWQS) and meta-weighted quantile sum regression (MWQS), to estimate the effects of chemical mixtures measured across multiple time points, while providing data on their critical windows of exposure. We compare the performance of both methods using simulations. We also applied both techniques to assess second and third trimester metal mixture effects in predicting performance in the Rapid Visual Processing (RVP) task from the Cambridge Neuropsychological Test Automated Battery (CANTAB) assessed at 6–9 years in children who are part of the PROGRESS (Programming Research in Obesity, GRowth, Environment and Social Stressors) longitudinal cohort study. The metals, arsenic, cadmium (Cd), cesium, chromium, lead (Pb) and antimony (Sb) were selected based on their toxicological profile. RESULTS: In simulations, JWQS and MWQS had over 80% accuracy in classifying exposures as either strongly or weakly contributing to an association. In real data, both JWQS and MWQS consistently found that Pb and Cd exposure jointly predicted longer latency in the RVP and that second trimester exposure better predicted the results than the third trimester. Additionally, both JWQS and MWQS highlighted the strong association Cd and Sb had with lower accuracy in the RVP and that third trimester exposure was a better predictor than second trimester exposure. CONCLUSIONS: Our results indicate that metal mixtures effects vary across time, have distinct critical windows and that both JWQS and MWQS can determine longitudinal mixture effects including the cumulative contribution of each exposure and critical windows of effect. BioMed Central 2019-10-30 /pmc/articles/PMC6822453/ /pubmed/31666078 http://dx.doi.org/10.1186/s12940-019-0526-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Levin-Schwartz, Yuri
Gennings, Chris
Schnaas, Lourdes
del Carmen Hernández Chávez, María
Bellinger, David C.
Téllez-Rojo, Martha Maria
Baccarelli, Andrea A.
Wright, Robert O.
Time-varying associations between prenatal metal mixtures and rapid visual processing in children
title Time-varying associations between prenatal metal mixtures and rapid visual processing in children
title_full Time-varying associations between prenatal metal mixtures and rapid visual processing in children
title_fullStr Time-varying associations between prenatal metal mixtures and rapid visual processing in children
title_full_unstemmed Time-varying associations between prenatal metal mixtures and rapid visual processing in children
title_short Time-varying associations between prenatal metal mixtures and rapid visual processing in children
title_sort time-varying associations between prenatal metal mixtures and rapid visual processing in children
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822453/
https://www.ncbi.nlm.nih.gov/pubmed/31666078
http://dx.doi.org/10.1186/s12940-019-0526-y
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