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

Hongling Yang(Guangzhou Medical University), Ruochun Guo, Shaochuan Li(Promega (United States)), Liang Fang, Tian Cheng, Xueqin Zhao(Guangzhou Medical University), Yan Long(Guangzhou Medical University), Fei Liu(Guangzhou Medical University), Min Jiang(Guangzhou Medical University), Yu Zhang, Jun Ma(Guangzhou Medical University), Mengni Peng, Siyi Zhang, Weitao Ye(Guangzhou Medical University), Qiangsheng Gan(Guangzhou Medical University), Fangling Zeng(Guangzhou Medical University), Shanliang Mao(Loudi Central Hospital), Qihua Liang(Guangzhou Medical University), Xiaodong Ma(Guangzhou Medical University), Mengru Han(Guangzhou Medical University), Fei Gao(Guangzhou Medical University), Rentao Yang, Cheng Zhang(Sun Yat-sen University), Lulu Xiao(Nanfang Hospital), Junjie Qin, Shenghui Li(Promega (United States)), Chunyan Zhu(Guangzhou Medical University)
npj Biofilms and Microbiomes
September 11, 2020
Cited by 113Open Access
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Abstract

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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