Evidence map›Paper›PMID 36188424›Full record

ArticleFrontiers in global women's health2022

Diversity of the gut, vaginal and oral microbiome among pregnant women in South Africa with and without pre-eclampsia.

Janri Geldenhuys, Mathys J Redelinghuys, Hendrik A Lombaard, Marthie M Ehlers, Don Cowan, Marleen M Kock

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

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  12. Scoping Review of Microbiota Dysbiosis and Risk of Preeclampsia.American journal of reproductive immunology (New York, N.Y. : 1989) · 2024
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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

6 authors.

Janri GeldenhuysDepartment of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Mathys J RedelinghuysDepartment of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Hendrik A LombaardObstetrics and Gynecology, Rahima Moosa Mother and Child Hospital, Wits Obstetrics and Gynecology Clinical Research Division, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
Marthie M EhlersDepartment of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Don CowanCentre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.
Marleen M KockDepartment of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Changes in microbial communities are a known characteristic of various inflammatory diseases and have been linked to adverse pregnancy outcomes, such as preterm birth. However, there is a paucity of information regarding the taxonomic composition and/or diversity of microbial communities in pre-eclampsia. The aim of this study was to determine the diversity of the gut, vaginal and oral microbiome in a cohort of South African pregnant women with and without pre-eclampsia. The diversity of the gut, vaginal and oral microbiome was determined by targeted next generation sequencing (NGS) of the V3 and V4 region of the 16S rRNA gene on the Illumina MiSeq platform. Results: In this study population, pre-eclampsia was associated with a significantly higher alpha diversity ( Conclusion: Collectively, a reduction of

Indexed as

16S rRNA sequencediversitygut microbiomeoral microbiomepre-eclampsiapregnancyvaginal microbiome

Identifiers

PMID36188424
PMCPMC9525020

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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.