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Life History Recorded in the Vagino-cervical Microbiome Along with Multi-omes

Authors :
Zhuye Jie
Chen Chen
Lilan Hao
Fei Li
Liju Song
Xiaowei Zhang
Jie Zhu
Liu Tian
Xin Tong
Kaiye Cai
Zhe Zhang
Yanmei Ju
Xinlei Yu
Ying Li
Hongcheng Zhou
Haorong Lu
Xuemei Qiu
Qiang Li
Yunli Liao
Dongsheng Zhou
Heng Lian
Yong Zuo
Xiaomin Chen
Weiqiao Rao
Yan Ren
Yuan Wang
Jin Zi
Rong Wang
Na Liu
Jinghua Wu
Wei Zhang
Xiao Liu
Yang Zong
Weibin Liu
Liang Xiao
Yong Hou
Xun Xu
Huanming Yang
Jian Wang
Karsten Kristiansen
Huijue Jia
Source :
Genomics, Proteomics & Bioinformatics, Vol 20, Iss 2, Pp 304-321 (2022)
Publication Year :
2022
Publisher :
Oxford University Press, 2022.

Abstract

The vagina contains at least a billion microbial cells, dominated by lactobacilli. Here we perform metagenomic shotgun sequencing on cervical and fecal samples from a cohort of 516 Chinese women of reproductive age, as well as cervical, fecal, and salivary samples from a second cohort of 632 women. Factors such as pregnancy history, delivery history, cesarean section, and breastfeeding were all more important than menstrual cycle in shaping the microbiome, and such information would be necessary before trying to interpret differences between vagino-cervical microbiome data. Greater proportion of Bifidobacterium breve was seen with older age at sexual debut. The relative abundance of lactobacilli especially Lactobacillus crispatus was negatively associated with pregnancy history. Potential markers for lack of menstrual regularity, heavy flow, dysmenorrhea, and contraceptives were also identified. Lactobacilli were rare during breastfeeding or post-menopause. Other features such as mood fluctuations and facial speckles could potentially be predicted from the vagino-cervical microbiome. Gut and salivary microbiomes, plasma vitamins, metals, amino acids, and hormones showed associations with the vagino-cervical microbiome. Our results offer an unprecedented glimpse into the microbiota of the female reproductive tract and call for international collaborations to better understand its long-term health impact other than in the settings of infection or pre-term birth.

Details

Language :
English
ISSN :
16720229
Volume :
20
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Genomics, Proteomics & Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.01cfbfbf5e044c0c8868e919de603d3e
Document Type :
article
Full Text :
https://doi.org/10.1016/j.gpb.2021.01.005