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      Prenatal exposures to organophosphate ester metabolite mixtures and children’s neurobehavioral outcomes in the MADRES pregnancy cohort

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          Abstract

          Background

          Evidence suggests organophosphate esters (OPEs) are neurotoxic; however, the epidemiological literature remains scarce. We investigated whether prenatal exposures to OPEs were associated with child neurobehavior in the MADRES cohort.

          Methods

          We measured nine OPE metabolites in 204 maternal urine samples (gestational age at collection: 31.4 ± 1.8 weeks). Neurobehavior problems were assessed among 36-month-old children using the Child Behavior Checklist’s (CBCL) three composite scales [internalizing, externalizing, and total problems]. We examined associations between tertiles of prenatal OPE metabolites (> 50% detection) and detect/non-detect categories (< 50% detection) and CBCL composite scales using linear regression and generalized additive models. We also examined mixtures for widely detected OPEs ( n = 5) using Bayesian kernel machine regression.

          Results

          Maternal participants with detectable versus non-detectable levels of bis(2-methylphenyl) phosphate (BMPP) had children with 42% (95% CI: 4%, 96%) higher externalizing, 45% (-2%, 114%) higher internalizing, and 35% (3%, 78%) higher total problems. Participants in the second versus first tertile of bis(butoxethyl) phosphate (BBOEP) had children with 43% (-1%, 109%) higher externalizing scores. Bis(1-chloro-2-propyl) phosphate (BCIPP) and child sex had a statistically significant interaction in internalizing ( p = 0.02) and total problems ( p = 0.03) models, with 120% (23%, 295%) and 57% (6%, 134%) higher scores in the third versus first BCIPP tertile among males. Among females, detectable vs non-detectable levels of prenatal BMPP were associated with 69% higher externalizing scores (5%, 170%) while the third versus first tertile of prenatal BBOEP was associated with 45% lower total problems (-68%, -6%). Although the metabolite mixture and each CBCL outcome had null associations, we observed marginal associations between di-n-butyl phosphate and di-isobutyl phosphate (DNBP + DIBP) and higher internalizing scores (0.15; 95% CrI: -0.02, 0.32), holding other metabolites at their median.

          Conclusions

          Our results generally suggest adverse and sex-specific effects of prenatal exposure to previously understudied OPEs on neurobehavioral outcomes in 36-month children, providing evidence of potential OPE neurotoxicity.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12940-023-01017-3.

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          Most cited references74

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          Estimation of Average Concentration in the Presence of Nondetectable Values

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            Robust causal inference using directed acyclic graphs: the R package ‘dagitty’

            Directed acyclic graphs (DAGs), which offer systematic representations of causal relationships, have become an established framework for the analysis of causal inference in epidemiology, often being used to determine covariate adjustment sets for minimizing confounding bias. DAGitty is a popular web application for drawing and analysing DAGs. Here we introduce the R package 'dagitty', which provides access to all of the capabilities of the DAGitty web application within the R platform for statistical computing, and also offers several new functions. We describe how the R package 'dagitty' can be used to: evaluate whether a DAG is consistent with the dataset it is intended to represent; enumerate 'statistically equivalent' but causally different DAGs; and identify exposure-outcome adjustment sets that are valid for causally different but statistically equivalent DAGs. This functionality enables epidemiologists to detect causal misspecifications in DAGs and make robust inferences that remain valid for a range of different DAGs. The R package 'dagitty' is available through the comprehensive R archive network (CRAN) at [https://cran.r-project.org/web/packages/dagitty/]. The source code is available on github at [https://github.com/jtextor/dagitty]. The web application 'DAGitty' is free software, licensed under the GNU general public licence (GPL) version 2 and is available at [http://dagitty.net/].
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              The origins of the developmental origins theory.

              D Barker (2007)
              Current orthodoxy states that coronary heart disease results from the unhealthy lifestyles of westernized adults together with a contribution from genetic inheritance. This does not provide a secure basis for prevention of the disease. Geographical studies gave the first clue that the disease originates during intra-uterine development. Variations in mortality from the disease across England and Wales were shown to correlate closely with past differences in death rates among newborn babies. In the past most deaths among newborns were attributed to low birthweight. This led to the hypothesis that undernutrition in utero permanently changes the body's structure, function and metabolism in ways that lead to coronary heart disease in later life. The association between low birthweight and coronary heart disease has been confirmed in longitudinal studies of men and women around the world. The developmental model of the origins of the disease offers a new way forward.
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                Author and article information

                Contributors
                bastain@usc.edu
                Journal
                Environ Health
                Environ Health
                Environmental Health
                BioMed Central (London )
                1476-069X
                22 September 2023
                22 September 2023
                2023
                : 22
                : 66
                Affiliations
                [1 ]Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, ( https://ror.org/03taz7m60) 1845 N. Soto Street, Los Angeles, CA USA
                [2 ]GRID grid.254880.3, ISNI 0000 0001 2179 2404, Department of Epidemiology, , Geisel School of Medicine at Dartmouth, ; Hanover, NH USA
                [3 ]GRID grid.238491.5, ISNI 0000 0004 0367 6866, Wadsworth Center, , New York State Department of Health, ; Albany, NY USA
                [4 ]Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, ( https://ror.org/03taz7m60) Los Angeles, CA USA
                [5 ]Eisner Health, Los Angeles, CA USA
                [6 ]Department of Psychology, University of Southern California, ( https://ror.org/03taz7m60) Los Angeles, CA USA
                Article
                1017
                10.1186/s12940-023-01017-3
                10515433
                37737180
                dfeadaf4-9e52-498c-a19f-529704222ea8
                © BioMed Central Ltd., part of Springer Nature 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 21 June 2023
                : 11 September 2023
                Funding
                Funded by: Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) Center funded by the National Institute of Environmental Health Sciences, the National Institute for Minority Health and Health Disparities and the Environmental Protection Agency
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Award ID: P50ES026086, 83615801, P50MD015705
                Funded by: Southern California Environmental Health Sciences Center funded by the National Institute of Environmental Health Sciences, and the Life course Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory health (LA DREAMERs) funded by the National Institutes of Health Office of the Director ECHO Program
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Award ID: 5P30ES007048, UH3OD023287
                Funded by: NIH Pathway to Independence Award
                Award ID: R00 ES030400
                Funded by: Research reported in this publication was supported by the National Institute of Environmental Health Sciences
                Award ID: U2CES026542
                Award ID: U2CES026542
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Public health
                mixtures,ope,organophosphate esters,opfrs,neurobehavior,early childhood
                Public health
                mixtures, ope, organophosphate esters, opfrs, neurobehavior, early childhood

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