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Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity

The woman’s gut microbiota during pregnancy may support nutrient acquisition, is associated with diseases, and has been linked to infant health. However, there is limited information on gut microbial characteristics and dependence in pregnant women. In this study, we provide a comprehensive overview...

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Autores principales: Yang, Hongling, Guo, Ruochun, Li, Shaochuan, Liang, Fang, Tian, Cheng, Zhao, Xueqin, Long, Yan, Liu, Fei, Jiang, Min, Zhang, Yu, Ma, Jun, Peng, Mengni, Zhang, Siyi, Ye, Weitao, Gan, Qiangsheng, Zeng, Fangling, Mao, Shanliang, Liang, Qihua, Ma, Xiaodong, Han, Mengru, Gao, Fei, Yang, Rentao, Zhang, Cheng, Xiao, Lulu, Qin, Junjie, Li, Shenghui, Zhu, Chunyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486914/
https://www.ncbi.nlm.nih.gov/pubmed/32917878
http://dx.doi.org/10.1038/s41522-020-00142-y
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author Yang, Hongling
Guo, Ruochun
Li, Shaochuan
Liang, Fang
Tian, Cheng
Zhao, Xueqin
Long, Yan
Liu, Fei
Jiang, Min
Zhang, Yu
Ma, Jun
Peng, Mengni
Zhang, Siyi
Ye, Weitao
Gan, Qiangsheng
Zeng, Fangling
Mao, Shanliang
Liang, Qihua
Ma, Xiaodong
Han, Mengru
Gao, Fei
Yang, Rentao
Zhang, Cheng
Xiao, Lulu
Qin, Junjie
Li, Shenghui
Zhu, Chunyan
author_facet Yang, Hongling
Guo, Ruochun
Li, Shaochuan
Liang, Fang
Tian, Cheng
Zhao, Xueqin
Long, Yan
Liu, Fei
Jiang, Min
Zhang, Yu
Ma, Jun
Peng, Mengni
Zhang, Siyi
Ye, Weitao
Gan, Qiangsheng
Zeng, Fangling
Mao, Shanliang
Liang, Qihua
Ma, Xiaodong
Han, Mengru
Gao, Fei
Yang, Rentao
Zhang, Cheng
Xiao, Lulu
Qin, Junjie
Li, Shenghui
Zhu, Chunyan
author_sort Yang, Hongling
collection PubMed
description The woman’s gut microbiota during pregnancy may support nutrient acquisition, is associated with diseases, and has been linked to infant health. However, there is limited information on gut microbial characteristics and dependence in pregnant women. In this study, we provide a comprehensive overview of the gut microbial characteristics of 1479 pregnant women using 16S rRNA gene sequencing of fecal samples. We identify a core microbiota of pregnant women, which displays a similar overall structure to that of age-matched nonpregnant women. Our data show that the gestational age-associated variation in the gut microbiota, from the ninth week of gestation to antepartum, is relatively limited. Building upon rich metadata, we reveal a set of exogenous and intrinsic host factors that are highly correlated with the variation in gut microbial community composition and function. These microbiota covariates are concentrated in basic host properties (e.g., age and residency status) and blood clinical parameters, suggesting that individual heterogeneity is the major force shaping the gut microbiome during pregnancy. Moreover, we identify microbial and functional markers that are associated with age, pre-pregnancy body mass index, residency status, and pre-pregnancy and gestational diseases. The gut microbiota during pregnancy is also different between women with high or low gestational weight gain. Our study demonstrates the structure, gestational age-associated variation, and associations with host factors of the gut microbiota during pregnancy and strengthens the understanding of microbe–host interactions. The results from this study offer new materials and prospects for gut microbiome research in clinical and diagnostic fields.
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spelling pubmed-74869142020-09-24 Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity Yang, Hongling Guo, Ruochun Li, Shaochuan Liang, Fang Tian, Cheng Zhao, Xueqin Long, Yan Liu, Fei Jiang, Min Zhang, Yu Ma, Jun Peng, Mengni Zhang, Siyi Ye, Weitao Gan, Qiangsheng Zeng, Fangling Mao, Shanliang Liang, Qihua Ma, Xiaodong Han, Mengru Gao, Fei Yang, Rentao Zhang, Cheng Xiao, Lulu Qin, Junjie Li, Shenghui Zhu, Chunyan NPJ Biofilms Microbiomes Article The woman’s gut microbiota during pregnancy may support nutrient acquisition, is associated with diseases, and has been linked to infant health. However, there is limited information on gut microbial characteristics and dependence in pregnant women. In this study, we provide a comprehensive overview of the gut microbial characteristics of 1479 pregnant women using 16S rRNA gene sequencing of fecal samples. We identify a core microbiota of pregnant women, which displays a similar overall structure to that of age-matched nonpregnant women. Our data show that the gestational age-associated variation in the gut microbiota, from the ninth week of gestation to antepartum, is relatively limited. Building upon rich metadata, we reveal a set of exogenous and intrinsic host factors that are highly correlated with the variation in gut microbial community composition and function. These microbiota covariates are concentrated in basic host properties (e.g., age and residency status) and blood clinical parameters, suggesting that individual heterogeneity is the major force shaping the gut microbiome during pregnancy. Moreover, we identify microbial and functional markers that are associated with age, pre-pregnancy body mass index, residency status, and pre-pregnancy and gestational diseases. The gut microbiota during pregnancy is also different between women with high or low gestational weight gain. Our study demonstrates the structure, gestational age-associated variation, and associations with host factors of the gut microbiota during pregnancy and strengthens the understanding of microbe–host interactions. The results from this study offer new materials and prospects for gut microbiome research in clinical and diagnostic fields. Nature Publishing Group UK 2020-09-11 /pmc/articles/PMC7486914/ /pubmed/32917878 http://dx.doi.org/10.1038/s41522-020-00142-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yang, Hongling
Guo, Ruochun
Li, Shaochuan
Liang, Fang
Tian, Cheng
Zhao, Xueqin
Long, Yan
Liu, Fei
Jiang, Min
Zhang, Yu
Ma, Jun
Peng, Mengni
Zhang, Siyi
Ye, Weitao
Gan, Qiangsheng
Zeng, Fangling
Mao, Shanliang
Liang, Qihua
Ma, Xiaodong
Han, Mengru
Gao, Fei
Yang, Rentao
Zhang, Cheng
Xiao, Lulu
Qin, Junjie
Li, Shenghui
Zhu, Chunyan
Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity
title Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity
title_full Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity
title_fullStr Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity
title_full_unstemmed Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity
title_short Systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity
title_sort systematic analysis of gut microbiota in pregnant women and its correlations with individual heterogeneity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486914/
https://www.ncbi.nlm.nih.gov/pubmed/32917878
http://dx.doi.org/10.1038/s41522-020-00142-y
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