Evidence map›Paper›PMID 34118463›Full record

ArticleGenomics, proteomics & bioinformatics2022

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

Zhuye Jie, Chen Chen, Lilan Hao, Fei Li, Liju Song, Xiaowei Zhang, Jie Zhu, Liu Tian, Xin Tong, Kaiye Cai and 31 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Review
  6. Endometrial Microbiome and Reproductive Receptivity: Diverse Perspectives.International journal of molecular sciences · 2025
    Review
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  8. Review
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  11. Article
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  18. Interactions between microbiota and cervical epithelial, immune, and mucus barrier.Frontiers in cellular and infection microbiology · 2023
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

41 authors.

Zhuye JieBGI-Shenzhen, Shenzhen 518083, China; Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen 518083, China; Department of Biology, University of Copenhagen, Copenhagen DK-2100, Denmark.
Chen ChenBGI-Shenzhen, Shenzhen 518083, China; Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen 518083, China; Department of Biology, University of Copenhagen, Copenhagen DK-2100, Denmark. Electronic address: chenchen1@genomics.cn.
Lilan HaoBGI-Shenzhen, Shenzhen 518083, China.
Fei LiBGI-Shenzhen, Shenzhen 518083, China.
Liju SongBGI-Shenzhen, Shenzhen 518083, China.
Xiaowei ZhangBGI-Shenzhen, Shenzhen 518083, China.
Jie ZhuBGI-Shenzhen, Shenzhen 518083, China.
Liu TianBGI-Shenzhen, Shenzhen 518083, China.
Xin TongBGI-Shenzhen, Shenzhen 518083, China.
Kaiye CaiBGI-Shenzhen, Shenzhen 518083, China; Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI-Shenzhen, Shenzhen 518083, China.
Zhe ZhangBGI-Shenzhen, Shenzhen 518083, China.
Yanmei JuBGI-Shenzhen, Shenzhen 518083, China; BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, China.
Xinlei YuBGI-Shenzhen, Shenzhen 518083, China.
Ying LiBGI-Shenzhen, Shenzhen 518083, China.
Hongcheng ZhouChina National Genebank, BGI-Shenzhen, Shenzhen 518120, China.
Haorong LuChina National Genebank, BGI-Shenzhen, Shenzhen 518120, China.
Xuemei QiuBGI-Shenzhen, Shenzhen 518083, China.
Qiang LiBGI-Shenzhen, Shenzhen 518083, China.
Yunli LiaoBGI-Shenzhen, Shenzhen 518083, China.
Dongsheng ZhouBGI-Shenzhen, Shenzhen 518083, China.
Heng LianBGI-Shenzhen, Shenzhen 518083, China.
Yong ZuoBGI-Shenzhen, Shenzhen 518083, China.
Xiaomin ChenBGI-Shenzhen, Shenzhen 518083, China.
Weiqiao RaoBGI-Shenzhen, Shenzhen 518083, China.
Yan RenBGI-Shenzhen, Shenzhen 518083, China.
Yuan WangBGI-Shenzhen, Shenzhen 518083, China.
Jin ZiBGI-Shenzhen, Shenzhen 518083, China.
Rong WangBGI-Shenzhen, Shenzhen 518083, China.
Na LiuBGI-Shenzhen, Shenzhen 518083, China.
Jinghua WuBGI-Shenzhen, Shenzhen 518083, China.
Wei ZhangBGI-Shenzhen, Shenzhen 518083, China.
Xiao LiuBGI-Shenzhen, Shenzhen 518083, China.
Yang ZongBGI-Shenzhen, Shenzhen 518083, China.
Weibin LiuBGI-Shenzhen, Shenzhen 518083, China.
Liang XiaoBGI-Shenzhen, Shenzhen 518083, China; Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI-Shenzhen, Shenzhen 518083, China; BGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China.
Yong HouBGI-Shenzhen, Shenzhen 518083, China.
Xun XuBGI-Shenzhen, Shenzhen 518083, China.
Huanming YangBGI-Shenzhen, Shenzhen 518083, China; James D. Watson Institute of Genome Sciences, Hangzhou 310058, China.
Jian WangBGI-Shenzhen, Shenzhen 518083, China; James D. Watson Institute of Genome Sciences, Hangzhou 310058, China.
Karsten KristiansenBGI-Shenzhen, Shenzhen 518083, China; Department of Biology, University of Copenhagen, Copenhagen DK-2100, Denmark; BGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China.
Huijue JiaBGI-Shenzhen, Shenzhen 518083, China; Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen 518083, China. Electronic address: jiahuijue@genomics.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 pregnancyhistory, 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.

Indexed as

Cesarean SectionMicrobiotaFemaleHumansLactobacillusPregnancyRNA, Ribosomal, 16SVaginaRNA, Ribosomal, 16SBreastfeedingDelivery historyMetagenomic shotgun sequencingPregnancy historyVagino-cervical microbiome

Identifiers

PMID34118463
PMCPMC9684086

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.