Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites

Abstract Given the complex exposures from both exogenous and endogenous sources that an individual experiences during life, exposome-wide association studies that interrogate levels of small molecules in biospecimens have been proposed for discovering causes of chronic diseases. We conducted a study...

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Autores principales:	Vincent Bessonneau, Roy R. Gerona, Jessica Trowbridge, Rachel Grashow, Thomas Lin, Heather Buren, Rachel Morello-Frosch, Ruthann A. Rudel
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ec5fc71903e14229b6f75ed6290d024c
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spelling	oai:doaj.org-article:ec5fc71903e14229b6f75ed6290d024c2021-12-02T14:37:39ZGaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites10.1038/s41598-021-87070-92045-2322https://doaj.org/article/ec5fc71903e14229b6f75ed6290d024c2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87070-9https://doaj.org/toc/2045-2322Abstract Given the complex exposures from both exogenous and endogenous sources that an individual experiences during life, exposome-wide association studies that interrogate levels of small molecules in biospecimens have been proposed for discovering causes of chronic diseases. We conducted a study to explore associations between environmental chemicals and endogenous molecules using Gaussian graphical models (GGMs) of non-targeted metabolomics data measured in a cohort of California women firefighters and office workers. GGMs revealed many exposure-metabolite associations, including that exposures to mono-hydroxyisononyl phthalate, ethyl paraben and 4-ethylbenzoic acid were associated with metabolites involved in steroid hormone biosynthesis, and perfluoroalkyl substances were linked to bile acids—hormones that regulate cholesterol and glucose metabolism—and inflammatory signaling molecules. Some hypotheses generated from these findings were confirmed by analysis of data from the National Health and Nutrition Examination Survey. Taken together, our findings demonstrate a novel approach to discovering associations between chemical exposures and biological processes of potential relevance for disease causation.Vincent BessonneauRoy R. GeronaJessica TrowbridgeRachel GrashowThomas LinHeather BurenRachel Morello-FroschRuthann A. RudelNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Vincent Bessonneau Roy R. Gerona Jessica Trowbridge Rachel Grashow Thomas Lin Heather Buren Rachel Morello-Frosch Ruthann A. Rudel Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites
description	Abstract Given the complex exposures from both exogenous and endogenous sources that an individual experiences during life, exposome-wide association studies that interrogate levels of small molecules in biospecimens have been proposed for discovering causes of chronic diseases. We conducted a study to explore associations between environmental chemicals and endogenous molecules using Gaussian graphical models (GGMs) of non-targeted metabolomics data measured in a cohort of California women firefighters and office workers. GGMs revealed many exposure-metabolite associations, including that exposures to mono-hydroxyisononyl phthalate, ethyl paraben and 4-ethylbenzoic acid were associated with metabolites involved in steroid hormone biosynthesis, and perfluoroalkyl substances were linked to bile acids—hormones that regulate cholesterol and glucose metabolism—and inflammatory signaling molecules. Some hypotheses generated from these findings were confirmed by analysis of data from the National Health and Nutrition Examination Survey. Taken together, our findings demonstrate a novel approach to discovering associations between chemical exposures and biological processes of potential relevance for disease causation.
format	article
author	Vincent Bessonneau Roy R. Gerona Jessica Trowbridge Rachel Grashow Thomas Lin Heather Buren Rachel Morello-Frosch Ruthann A. Rudel
author_facet	Vincent Bessonneau Roy R. Gerona Jessica Trowbridge Rachel Grashow Thomas Lin Heather Buren Rachel Morello-Frosch Ruthann A. Rudel
author_sort	Vincent Bessonneau
title	Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites
title_short	Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites
title_full	Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites
title_fullStr	Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites
title_full_unstemmed	Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites
title_sort	gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ec5fc71903e14229b6f75ed6290d024c
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Gaussian graphical modeling of the serum exposome and metabolome reveals interactions between environmental chemicals and endogenous metabolites

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