Abstract

Arsenic is a ubiquitous environmental toxicant with antimicrobial properties that can be found in food and drinking water. The influence of arsenic exposure on the composition of the human microbiome in US populations remains unknown, particularly during the vulnerable infant period. We investigated the relationship between arsenic exposure and gut microbiome composition in 204 infants prospectively followed as part of the New Hampshire Birth Cohort Study. Infant urine was analyzed for total arsenic concentration using inductively coupled plasma mass spectrometry. Stool microbiome composition was determined using sequencing of the bacterial 16S rRNA gene. Infant urinary arsenic related to gut microbiome composition at 6 weeks of life (p = 0.05, adjusted for infant feeding type and urine specific gravity). Eight genera, six within the phylum Firmicutes, were enriched with higher arsenic exposure. Fifteen genera were negatively associated with urinary arsenic concentration, including Bacteroides and Bifidobacterium. Upon stratification by both sex and feeding method, we found detectable associations among formula-fed males (p = 0.008), but not other groups (p > 0.05 for formula-fed females and for breastfed males and females). Our findings from a US population indicate that even moderate arsenic exposure may have meaningful, sex-specific effects on the gut microbiome during a critical window of infant development.

Details

Title
Sex-specific associations of infants’ gut microbiome with arsenic exposure in a US population
Author
Hoen, Anne G 1 ; Madan, Juliette C 2 ; Li, Zhigang 3 ; Coker, Modupe 4 ; Lundgren, Sara N 4 ; Morrison, Hilary G 5   VIAFID ORCID Logo  ; Palys, Thomas 6 ; Jackson, Brian P 7 ; Sogin, Mitchell L 5 ; Cottingham, Kathryn L 8   VIAFID ORCID Logo  ; Karagas, Margaret R 9 

 Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA; Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, USA; Department of Biomedical Data Science, The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA 
 Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA; Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, USA; Division of Neonatology, Department of Pediatrics, Children’s Hospital at Dartmouth, Lebanon, New Hampshire, USA 
 Department of Biomedical Data Science, The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA; Department of Biostatistics, University of Florida, Gainesville, Florida, USA 
 Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA 
 Josephine Bay Paul Center, Marine Biological Laboratory, Massachusetts, USA 
 Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, USA 
 Department of Earth Sciences, Dartmouth College, Hanover, New Hampshire, USA 
 Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, USA; Department of Biological Sciences, Dartmouth College, Hanover, New Hampshire, USA 
 Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA; Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, New Hampshire, USA 
Pages
1-10
Publication year
2018
Publication date
Aug 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2091748866
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.