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Application of an analytical framework for multivariate mediation analysis of environmental data

Diverse toxicological mechanisms may mediate the impact of environmental toxicants (phthalates, phenols, polycyclic aromatic hydrocarbons, and metals) on pregnancy outcomes. In this study, we introduce an analytical framework for multivariate mediation analysis to identify mediation pathways (q = 61...

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Autores principales: Aung, Max T., Song, Yanyi, Ferguson, Kelly K., Cantonwine, David E., Zeng, Lixia, McElrath, Thomas F., Pennathur, Subramaniam, Meeker, John D., Mukherjee, Bhramar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648785/
https://www.ncbi.nlm.nih.gov/pubmed/33159049
http://dx.doi.org/10.1038/s41467-020-19335-2
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author Aung, Max T.
Song, Yanyi
Ferguson, Kelly K.
Cantonwine, David E.
Zeng, Lixia
McElrath, Thomas F.
Pennathur, Subramaniam
Meeker, John D.
Mukherjee, Bhramar
author_facet Aung, Max T.
Song, Yanyi
Ferguson, Kelly K.
Cantonwine, David E.
Zeng, Lixia
McElrath, Thomas F.
Pennathur, Subramaniam
Meeker, John D.
Mukherjee, Bhramar
author_sort Aung, Max T.
collection PubMed
description Diverse toxicological mechanisms may mediate the impact of environmental toxicants (phthalates, phenols, polycyclic aromatic hydrocarbons, and metals) on pregnancy outcomes. In this study, we introduce an analytical framework for multivariate mediation analysis to identify mediation pathways (q = 61 mediators) in the relationship between environmental toxicants (p = 38 analytes) and gestational age at delivery. Our analytical framework includes: (1) conducting pairwise mediation for unique exposure-mediator combinations, (2) exposure dimension reduction by estimating environmental risk scores, and (3) multivariate mediator analysis using either Bayesian shrinkage mediation analysis, population value decomposition, or mediation pathway penalization. Dimension reduction demonstrates that a one-unit increase in phthalate risk score is associated with a total effect of 1.07 lower gestational age (in weeks) at delivery (95% confidence interval: 0.48–1.67) and eicosanoids from the cytochrome p450 pathway mediated 26% of this effect (95% confidence interval: 4–63%). Eicosanoid products derived from the cytochrome p450 pathway may be important mediators of phthalate toxicity.
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spelling pubmed-76487852020-11-10 Application of an analytical framework for multivariate mediation analysis of environmental data Aung, Max T. Song, Yanyi Ferguson, Kelly K. Cantonwine, David E. Zeng, Lixia McElrath, Thomas F. Pennathur, Subramaniam Meeker, John D. Mukherjee, Bhramar Nat Commun Article Diverse toxicological mechanisms may mediate the impact of environmental toxicants (phthalates, phenols, polycyclic aromatic hydrocarbons, and metals) on pregnancy outcomes. In this study, we introduce an analytical framework for multivariate mediation analysis to identify mediation pathways (q = 61 mediators) in the relationship between environmental toxicants (p = 38 analytes) and gestational age at delivery. Our analytical framework includes: (1) conducting pairwise mediation for unique exposure-mediator combinations, (2) exposure dimension reduction by estimating environmental risk scores, and (3) multivariate mediator analysis using either Bayesian shrinkage mediation analysis, population value decomposition, or mediation pathway penalization. Dimension reduction demonstrates that a one-unit increase in phthalate risk score is associated with a total effect of 1.07 lower gestational age (in weeks) at delivery (95% confidence interval: 0.48–1.67) and eicosanoids from the cytochrome p450 pathway mediated 26% of this effect (95% confidence interval: 4–63%). Eicosanoid products derived from the cytochrome p450 pathway may be important mediators of phthalate toxicity. Nature Publishing Group UK 2020-11-06 /pmc/articles/PMC7648785/ /pubmed/33159049 http://dx.doi.org/10.1038/s41467-020-19335-2 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Aung, Max T.
Song, Yanyi
Ferguson, Kelly K.
Cantonwine, David E.
Zeng, Lixia
McElrath, Thomas F.
Pennathur, Subramaniam
Meeker, John D.
Mukherjee, Bhramar
Application of an analytical framework for multivariate mediation analysis of environmental data
title Application of an analytical framework for multivariate mediation analysis of environmental data
title_full Application of an analytical framework for multivariate mediation analysis of environmental data
title_fullStr Application of an analytical framework for multivariate mediation analysis of environmental data
title_full_unstemmed Application of an analytical framework for multivariate mediation analysis of environmental data
title_short Application of an analytical framework for multivariate mediation analysis of environmental data
title_sort application of an analytical framework for multivariate mediation analysis of environmental data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648785/
https://www.ncbi.nlm.nih.gov/pubmed/33159049
http://dx.doi.org/10.1038/s41467-020-19335-2
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