Evidence map›Paper›PMID 37065129›Full record

ArticleFrontiers in microbiology2023

Dynamic changes in gut microbiota during pregnancy among Chinese women and influencing factors: A prospective cohort study.

Muxia Li, Guohua Zhang, Lijun Cui, Lin Zhang, Qian Zhou, Chenxue Mu, Ruixin Chi, Na Zhang, Guansheng Ma

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

18 citing papers in PubMed, 18 citations in OpenAlex.

  1. Imbalance of gut microbiota in gestational diabetes.BMC pregnancy and childbirth · 2024
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  11. Foods (Basel, Switzerland) · 2024
    Review
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  15. Metabarcoding analysis of oral microbiome during pregnancy.Frontiers in cellular and infection microbiology · 2024
    Article
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  17. Article
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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

9 authors at 4 institutions in 2 countries.

Muxia LiDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Guohua ZhangThe Third Department of Obstetrics, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, China.
Lijun CuiThe Seventh Department of Obstetrics, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, China.
Lin ZhangDepartment of Pediatrics, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Qian ZhouDepartment of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Chenxue MuThe Third Department of Obstetrics, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, China.
Ruixin ChiDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Na ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Guansheng MaDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Peking University · CNFirst Hospital of Shijiazhuang · CNCity University of Hong Kong · HKThird Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota (GM) dynamics during pregnancy vary among different populations and are affected by many factors, such as living environments and diet. This study aims to observe and evaluate the changes in the structure and function of the GM from the first to the third trimester of pregnancy in Chinese women, and to explore the main factors affecting the changes in intestinal microecology. Fifty-five Chinese pregnant women were recruited for this study and their fecal samples were collected during the first (P1), second (P2), and third trimesters (P3) of pregnancy. We exploited metagenomic sequencing to compare the composition and function of the GM in different pregnancy periods. Bioinformatic analysis revealed that there were differences in the composition of the GM among P1, P2, and P3, as indicated by the increase in α-diversity and β-diversity of the GM and the differences in the relative abundances of distinct bacterial phyla. Gestational diabetes mellitus (GDM) was the main factor (

Indexed as

dynamic changesgestational diabetes mellitusgut microbiotametagenomics analysispregnancy

Identifiers

PMID37065129
PMCPMC10096036
OpenAlexW4361284854

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.