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Prenatal lead exposure is negatively associated with the gut microbiome in childhood

BACKGROUND: Metal exposures are associated with gut microbiome (GM) composition and function, and exposures early in development may be particularly important. Considering the role of the GM in association with many adverse health outcomes, understanding the relationship between prenatal metal expos...

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Autores principales: Eggers, Shoshannah, Midya, Vishal, Bixby, Moira, Gennings, Chris, Torres-Olascoaga, Libni A., Walker, Ryan W., Wright, Robert O., Arora, Manish, Téllez-Rojo, Martha María
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325945/
https://www.ncbi.nlm.nih.gov/pubmed/37426026
http://dx.doi.org/10.3389/fmicb.2023.1193919
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author Eggers, Shoshannah
Midya, Vishal
Bixby, Moira
Gennings, Chris
Torres-Olascoaga, Libni A.
Walker, Ryan W.
Wright, Robert O.
Arora, Manish
Téllez-Rojo, Martha María
author_facet Eggers, Shoshannah
Midya, Vishal
Bixby, Moira
Gennings, Chris
Torres-Olascoaga, Libni A.
Walker, Ryan W.
Wright, Robert O.
Arora, Manish
Téllez-Rojo, Martha María
author_sort Eggers, Shoshannah
collection PubMed
description BACKGROUND: Metal exposures are associated with gut microbiome (GM) composition and function, and exposures early in development may be particularly important. Considering the role of the GM in association with many adverse health outcomes, understanding the relationship between prenatal metal exposures and the GM is critically important. However, there is sparse knowledge of the association between prenatal metal exposure and GM later in childhood. OBJECTIVES: This analysis aims to identify associations between prenatal lead (Pb) exposure and GM composition and function in children 9–11 years old. METHODS: Data come from the Programming Research in Obesity, Growth, Environment and Social Stressors (PROGRESS) cohort based in Mexico City, Mexico. Prenatal metal concentrations were measured in maternal whole blood drawn during the second and third trimesters of pregnancy. Stool samples collected at 9–11 years old underwent metagenomic sequencing to assess the GM. This analysis uses multiple statistical modeling approaches, including linear regression, permutational analysis of variance, weighted quantile sum regression (WQS), and individual taxa regressions, to estimate the association between maternal blood Pb during pregnancy and multiple aspects of the child GM at 9–11 years old, adjusting for relevant confounders. RESULTS: Of the 123 child participants in this pilot data analysis, 74 were male and 49 were female. Mean prenatal maternal blood Pb was 33.6 (SE = 2.1) ug/L and 34.9 (SE = 2.1) ug/L at second and third trimesters, respectively. Analysis suggests a consistent negative relationship between prenatal maternal blood Pb and the GM at age 9–11, including measures of alpha and beta diversity, microbiome mixture analysis, and individual taxa. The WQS analysis showed a negative association between prenatal Pb exposure and the gut microbiome, for both second and third trimester exposures (2Tβ = −0.17, 95%CI = [−0.46,0.11]; 3Tβ = −0.17, 95%CI = [−0.44,0.10]). Ruminococcus gnavus, Bifidobacterium longum, Alistipes indistinctus, Bacteroides caccae, and Bifidobacterium bifidum all had weights above the importance threshold from 80% or more of the WQS repeated holdouts in association with both second and third trimester Pb exposure. DISCUSSION: Pilot data analysis suggests a negative association between prenatal Pb exposure and the gut microbiome later in childhood; however, additional investigation is needed.
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spelling pubmed-103259452023-07-08 Prenatal lead exposure is negatively associated with the gut microbiome in childhood Eggers, Shoshannah Midya, Vishal Bixby, Moira Gennings, Chris Torres-Olascoaga, Libni A. Walker, Ryan W. Wright, Robert O. Arora, Manish Téllez-Rojo, Martha María Front Microbiol Microbiology BACKGROUND: Metal exposures are associated with gut microbiome (GM) composition and function, and exposures early in development may be particularly important. Considering the role of the GM in association with many adverse health outcomes, understanding the relationship between prenatal metal exposures and the GM is critically important. However, there is sparse knowledge of the association between prenatal metal exposure and GM later in childhood. OBJECTIVES: This analysis aims to identify associations between prenatal lead (Pb) exposure and GM composition and function in children 9–11 years old. METHODS: Data come from the Programming Research in Obesity, Growth, Environment and Social Stressors (PROGRESS) cohort based in Mexico City, Mexico. Prenatal metal concentrations were measured in maternal whole blood drawn during the second and third trimesters of pregnancy. Stool samples collected at 9–11 years old underwent metagenomic sequencing to assess the GM. This analysis uses multiple statistical modeling approaches, including linear regression, permutational analysis of variance, weighted quantile sum regression (WQS), and individual taxa regressions, to estimate the association between maternal blood Pb during pregnancy and multiple aspects of the child GM at 9–11 years old, adjusting for relevant confounders. RESULTS: Of the 123 child participants in this pilot data analysis, 74 were male and 49 were female. Mean prenatal maternal blood Pb was 33.6 (SE = 2.1) ug/L and 34.9 (SE = 2.1) ug/L at second and third trimesters, respectively. Analysis suggests a consistent negative relationship between prenatal maternal blood Pb and the GM at age 9–11, including measures of alpha and beta diversity, microbiome mixture analysis, and individual taxa. The WQS analysis showed a negative association between prenatal Pb exposure and the gut microbiome, for both second and third trimester exposures (2Tβ = −0.17, 95%CI = [−0.46,0.11]; 3Tβ = −0.17, 95%CI = [−0.44,0.10]). Ruminococcus gnavus, Bifidobacterium longum, Alistipes indistinctus, Bacteroides caccae, and Bifidobacterium bifidum all had weights above the importance threshold from 80% or more of the WQS repeated holdouts in association with both second and third trimester Pb exposure. DISCUSSION: Pilot data analysis suggests a negative association between prenatal Pb exposure and the gut microbiome later in childhood; however, additional investigation is needed. Frontiers Media S.A. 2023-06-22 /pmc/articles/PMC10325945/ /pubmed/37426026 http://dx.doi.org/10.3389/fmicb.2023.1193919 Text en Copyright © 2023 Eggers, Midya, Bixby, Gennings, Torres-Olascoaga, Walker, Wright, Arora and Téllez-Rojo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Eggers, Shoshannah
Midya, Vishal
Bixby, Moira
Gennings, Chris
Torres-Olascoaga, Libni A.
Walker, Ryan W.
Wright, Robert O.
Arora, Manish
Téllez-Rojo, Martha María
Prenatal lead exposure is negatively associated with the gut microbiome in childhood
title Prenatal lead exposure is negatively associated with the gut microbiome in childhood
title_full Prenatal lead exposure is negatively associated with the gut microbiome in childhood
title_fullStr Prenatal lead exposure is negatively associated with the gut microbiome in childhood
title_full_unstemmed Prenatal lead exposure is negatively associated with the gut microbiome in childhood
title_short Prenatal lead exposure is negatively associated with the gut microbiome in childhood
title_sort prenatal lead exposure is negatively associated with the gut microbiome in childhood
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325945/
https://www.ncbi.nlm.nih.gov/pubmed/37426026
http://dx.doi.org/10.3389/fmicb.2023.1193919
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