Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort

Background: The infant microbiome contributes to health status across the lifespan, but environmental factors affecting microbial communities are poorly understood, particularly when toxic and essential elements interact. Objective: We aimed to identify the associations between a spectrum of other e...

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Main Authors: Hannah E. Laue, Yuka Moroishi, Brian P. Jackson, Thomas J. Palys, Juliette C. Madan, Margaret R. Karagas
Format: Article
Language:English
Published: Elsevier 2020-05-01
Series:Environment International
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412019347609
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spelling doaj-a0d289b4a33648458c77428567b76fa32020-11-25T01:42:17ZengElsevierEnvironment International0160-41202020-05-01138Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohortHannah E. Laue0Yuka Moroishi1Brian P. Jackson2Thomas J. Palys3Juliette C. Madan4Margaret R. Karagas5Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA; Corresponding author at: 1 Medical Center Drive, Williamson Translational Research Building 700, Lebanon, NH 03766, USA.Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USADepartment of Earth Sciences, Dartmouth College, Hanover, NH, USADepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USADepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA; Departments of Pediatrics and Psychiatry, Dartmouth Hitchcock Medical Center, Lebanon, NH, USADepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USABackground: The infant microbiome contributes to health status across the lifespan, but environmental factors affecting microbial communities are poorly understood, particularly when toxic and essential elements interact. Objective: We aimed to identify the associations between a spectrum of other early-postnatal nutrient or toxic elemental exposures measured and the infant gut microbiome. Methods: Our analysis included 179 six-week-old infants from the New Hampshire Birth Cohort Study. Eleven elements were measured in infant toenail clippings. The gut microbiome was assessed using 16S rRNA V4-V5 hypervariable region targeted sequencing. Multivariable zero-inflated logistic normal regression (MZILN) was used to model the association between element concentrations and taxon relative abundance. To explore interactive and nonlinear associations between the exposures and specific taxa we employed Bayesian Kernel Machine Regression (BKMR). Effect modification by delivery mode, feeding mode, peripartum antibiotic exposure, and infant sex was assessed with stratified models. Results: We found a negative association between arsenic and microbial diversity in the full population that was accentuated among infants exposed to peripartum antibiotics. Arsenic, cadmium, copper, iron, lead, manganese, nickel, selenium, tin, and zinc were each associated with differences in at least one taxon in the full study population, with most of the related taxa belonging to the Bacteroides and Lactobacillales. In stratified analyses, mercury, in addition to the other elements, was associated with specific taxa. Bifidobacterium, which associated negatively with zinc in MZILN and BKMR models, had a quadratic association with arsenic concentrations. These associations varied with the concentration of the other element. Conclusions: Early postnatal toxic and nutrient elemental exposures are associated with differences in the infant microbiome. Further research is needed to clarify the whether these alterations are a biomarker of exposure or if they have implications for child and lifelong health. Keywords: Infant gut microbiome, 16S rRNA gene, Metals/metalloids, Elemental nutrients, Mixtures, Bayesian kernel machine regressionhttp://www.sciencedirect.com/science/article/pii/S0160412019347609
collection DOAJ
language English
format Article
sources DOAJ
author Hannah E. Laue
Yuka Moroishi
Brian P. Jackson
Thomas J. Palys
Juliette C. Madan
Margaret R. Karagas
spellingShingle Hannah E. Laue
Yuka Moroishi
Brian P. Jackson
Thomas J. Palys
Juliette C. Madan
Margaret R. Karagas
Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort
Environment International
author_facet Hannah E. Laue
Yuka Moroishi
Brian P. Jackson
Thomas J. Palys
Juliette C. Madan
Margaret R. Karagas
author_sort Hannah E. Laue
title Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort
title_short Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort
title_full Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort
title_fullStr Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort
title_full_unstemmed Nutrient-toxic element mixtures and the early postnatal gut microbiome in a United States longitudinal birth cohort
title_sort nutrient-toxic element mixtures and the early postnatal gut microbiome in a united states longitudinal birth cohort
publisher Elsevier
series Environment International
issn 0160-4120
publishDate 2020-05-01
description Background: The infant microbiome contributes to health status across the lifespan, but environmental factors affecting microbial communities are poorly understood, particularly when toxic and essential elements interact. Objective: We aimed to identify the associations between a spectrum of other early-postnatal nutrient or toxic elemental exposures measured and the infant gut microbiome. Methods: Our analysis included 179 six-week-old infants from the New Hampshire Birth Cohort Study. Eleven elements were measured in infant toenail clippings. The gut microbiome was assessed using 16S rRNA V4-V5 hypervariable region targeted sequencing. Multivariable zero-inflated logistic normal regression (MZILN) was used to model the association between element concentrations and taxon relative abundance. To explore interactive and nonlinear associations between the exposures and specific taxa we employed Bayesian Kernel Machine Regression (BKMR). Effect modification by delivery mode, feeding mode, peripartum antibiotic exposure, and infant sex was assessed with stratified models. Results: We found a negative association between arsenic and microbial diversity in the full population that was accentuated among infants exposed to peripartum antibiotics. Arsenic, cadmium, copper, iron, lead, manganese, nickel, selenium, tin, and zinc were each associated with differences in at least one taxon in the full study population, with most of the related taxa belonging to the Bacteroides and Lactobacillales. In stratified analyses, mercury, in addition to the other elements, was associated with specific taxa. Bifidobacterium, which associated negatively with zinc in MZILN and BKMR models, had a quadratic association with arsenic concentrations. These associations varied with the concentration of the other element. Conclusions: Early postnatal toxic and nutrient elemental exposures are associated with differences in the infant microbiome. Further research is needed to clarify the whether these alterations are a biomarker of exposure or if they have implications for child and lifelong health. Keywords: Infant gut microbiome, 16S rRNA gene, Metals/metalloids, Elemental nutrients, Mixtures, Bayesian kernel machine regression
url http://www.sciencedirect.com/science/article/pii/S0160412019347609
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