Cargando…

Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants

Perinatal factors can shape fecal microbiome patterns among pregnant women and their infants. However, there is scarce information about the effect of maternal demographics and perinatal exposures on antibiotic resistance genes (ARG) and mobile genetic element (MGE) patterns in pregnant women and in...

Descripción completa

Detalles Bibliográficos
Autores principales: Sosa-Moreno, Andrea, Comstock, Sarah S., Sugino, Kameron Y., Ma, Teng F., Paneth, Nigel, Davis, Yelena, Olivero, Rosemary, Schein, Rebecca, Maurer, Joel, Zhang, Lixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302573/
https://www.ncbi.nlm.nih.gov/pubmed/32555719
http://dx.doi.org/10.1371/journal.pone.0234751
_version_ 1783547874797158400
author Sosa-Moreno, Andrea
Comstock, Sarah S.
Sugino, Kameron Y.
Ma, Teng F.
Paneth, Nigel
Davis, Yelena
Olivero, Rosemary
Schein, Rebecca
Maurer, Joel
Zhang, Lixin
author_facet Sosa-Moreno, Andrea
Comstock, Sarah S.
Sugino, Kameron Y.
Ma, Teng F.
Paneth, Nigel
Davis, Yelena
Olivero, Rosemary
Schein, Rebecca
Maurer, Joel
Zhang, Lixin
author_sort Sosa-Moreno, Andrea
collection PubMed
description Perinatal factors can shape fecal microbiome patterns among pregnant women and their infants. However, there is scarce information about the effect of maternal demographics and perinatal exposures on antibiotic resistance genes (ARG) and mobile genetic element (MGE) patterns in pregnant women and infants. We examined fecal samples from pregnant women during their third trimester of pregnancy (n = 51) and 6-month-old infants (n = 40). Of the 91 participants, 72 represented 36 maternal-infant dyads, 15 were additional pregnant women, and 4 were additional infants. We assessed the effects of demographics, pre-pregnancy BMI, smoking and parity in the pregnancy resistome and the effects of demographics, delivery mode, feeding habits and prenatal antibiotic treatment on the infancy resistome. ARG and MGE richness and abundance were assessed using a SmartChip qPCR-array. Alpha diversity (Shannon and Inverse Simpson index) and beta diversity (Sorensen and Bray-Curtis index) were calculated. The Wilcoxon and the Kruskal non-parametric test were used for comparisons. There is a high variability in shared resistome patterns between pregnant women and their infants. An average of 29% of ARG and 24% of MGE were shared within dyads. Infants had significantly greater abundance and higher diversity of ARG and MGE compared to pregnant women. Pregnancy and infancy samples differed in ARG and MGE gene composition and structure. Composition of the fecal resistome was significantly associated with race in pregnant women, with non-white women having different patterns than white women, and, in infants, with extent of solid food consumption. Our data showed that the pregnancy and infancy resistome had different structure and composition patterns, with maternal race and infant solid food consumption as possible contributors to ARG. By characterizing resistome patterns, our results can inform the mechanism of antibiotic resistome development in pregnant women and their infants.
format Online
Article
Text
id pubmed-7302573
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-73025732020-06-19 Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants Sosa-Moreno, Andrea Comstock, Sarah S. Sugino, Kameron Y. Ma, Teng F. Paneth, Nigel Davis, Yelena Olivero, Rosemary Schein, Rebecca Maurer, Joel Zhang, Lixin PLoS One Research Article Perinatal factors can shape fecal microbiome patterns among pregnant women and their infants. However, there is scarce information about the effect of maternal demographics and perinatal exposures on antibiotic resistance genes (ARG) and mobile genetic element (MGE) patterns in pregnant women and infants. We examined fecal samples from pregnant women during their third trimester of pregnancy (n = 51) and 6-month-old infants (n = 40). Of the 91 participants, 72 represented 36 maternal-infant dyads, 15 were additional pregnant women, and 4 were additional infants. We assessed the effects of demographics, pre-pregnancy BMI, smoking and parity in the pregnancy resistome and the effects of demographics, delivery mode, feeding habits and prenatal antibiotic treatment on the infancy resistome. ARG and MGE richness and abundance were assessed using a SmartChip qPCR-array. Alpha diversity (Shannon and Inverse Simpson index) and beta diversity (Sorensen and Bray-Curtis index) were calculated. The Wilcoxon and the Kruskal non-parametric test were used for comparisons. There is a high variability in shared resistome patterns between pregnant women and their infants. An average of 29% of ARG and 24% of MGE were shared within dyads. Infants had significantly greater abundance and higher diversity of ARG and MGE compared to pregnant women. Pregnancy and infancy samples differed in ARG and MGE gene composition and structure. Composition of the fecal resistome was significantly associated with race in pregnant women, with non-white women having different patterns than white women, and, in infants, with extent of solid food consumption. Our data showed that the pregnancy and infancy resistome had different structure and composition patterns, with maternal race and infant solid food consumption as possible contributors to ARG. By characterizing resistome patterns, our results can inform the mechanism of antibiotic resistome development in pregnant women and their infants. Public Library of Science 2020-06-18 /pmc/articles/PMC7302573/ /pubmed/32555719 http://dx.doi.org/10.1371/journal.pone.0234751 Text en © 2020 Sosa-Moreno et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sosa-Moreno, Andrea
Comstock, Sarah S.
Sugino, Kameron Y.
Ma, Teng F.
Paneth, Nigel
Davis, Yelena
Olivero, Rosemary
Schein, Rebecca
Maurer, Joel
Zhang, Lixin
Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants
title Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants
title_full Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants
title_fullStr Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants
title_full_unstemmed Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants
title_short Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants
title_sort perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302573/
https://www.ncbi.nlm.nih.gov/pubmed/32555719
http://dx.doi.org/10.1371/journal.pone.0234751
work_keys_str_mv AT sosamorenoandrea perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT comstocksarahs perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT suginokamerony perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT matengf perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT panethnigel perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT davisyelena perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT oliverorosemary perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT scheinrebecca perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT maurerjoel perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants
AT zhanglixin perinatalriskfactorsforfecalantibioticresistancegenepatternsinpregnantwomenandtheirinfants