Evidence map›Paper›PMID 34841560›Full record

ArticlePaediatric and perinatal epidemiology2022

Is prenatal diet associated with the composition of the vaginal microbiome?

Emma M Rosen, Chantel L Martin, Anna Maria Siega-Riz, Nancy Dole, Patricia V Basta, Myrna Serrano, Jennifer Fettweis, Michael Wu, Shan Sun, John M Thorp and 3 more

Abstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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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
    Article
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  15. Shaping Microbiota During the First 1000 Days of Life.Advances in experimental medicine and biology · 2024
    Review
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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

13 authors.

Emma M RosenDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-0960-7565
Chantel L MartinDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1907-0810
Anna Maria Siega-RizDepartments of Nutrition and Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID 0000-0002-1303-4248
Nancy DoleCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Patricia V BastaDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Myrna SerranoDepartment of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA.
Jennifer FettweisDepartment of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA.
Michael WuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Shan SunDepartment of Bioinformatics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
John M ThorpDepartment of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Gregory BuckDepartment of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA.
Anthony A FodorDepartment of Bioinformatics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Stephanie M EngelDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Zonisamide in Patients with Neuropathic Pain Associated with Diabetic NeuropathyM01RR000046 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MARGOLIS, DAVID · 1985 to 2008
$38.5M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Placental Vascular Compromise and Preterm DeliveryR01HD039373 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI THORP, JOHN M · 2001 to 2005
$3.5M
EPIDEMIOLOGY OF EXERTION, STRESS, AND PRETERM DELIVERYR01HD037584 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI SAVITZ, DAVID A · 2000 to 2004
$3.1M
The Vaginal Microbiome and Racial Disparity in Preterm DeliveryR01MD011504 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ENGEL, STEPHANIE · 2017 to 2020
$2.6M
Pregnancy Related Weight Gain: A Link to ObesityR01DK061981 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SIEGA-RIZ, ANNA MARIA · 2002 to 2006
$2.2M
NCRR NIH HHS M01 RR000046NICHD NIH HHS R01 HD037584NICHD NIH HHS R01 HD039373NIDDK NIH HHS R01 DK061981NIEHS NIH HHS P30 ES010126NIEHS NIH HHS T32 ES007018NIMHD NIH HHS R01 MD011504
6 · The paper itself

Abstract

backgroundThe vaginal microbiome has been associated with adverse pregnancy outcomes, but information on the impact of diet on microbiome composition is largely unexamined.

objectiveTo estimate the association between prenatal diet and vaginal microbiota composition overall and by race.

methodsWe leveraged a racially diverse prenatal cohort of North Carolina women enrolled between 1995 and 2001 to conduct this analysis using cross-sectional data. Women completed food frequency questionnaires about diet in the previous 3 months and foods were categorised into subgroups: fruits, vegetables, nuts/seeds, whole grains, low-fat dairy, sweetened beverages and red meat. We additionally assessed dietary vitamin D, fibre and yogurt consumption. Stored vaginal swabs collected in mid-pregnancy were sequenced using 16S taxonomic profiling. Women were categorised into three groups based on predominance of species: Lactobacillus iners, Lactobacillus miscellaneous and Bacterial Vaginosis (BV)-associated bacteria. Adjusted Poisson models with robust variance estimators were run to assess the risk of being in a specific vagitype compared to the referent. Race-stratified models (Black/White) were also run.

resultsIn this study of 634 women, higher consumption of dairy was associated with increased likelihood of membership in the L. crispatus group compared to the L. iners group in a dose-dependent manner (risk ratio quartile 4 vs. 1: 2.01, 95% confidence interval 1.36, 2.95). Increased intake of fruit, vitamin D, fibre and yogurt was also associated with increased likelihood of membership in L. crispatus compared to L. iners, but only among black women. Statistical heterogeneity was only detected for fibre intake. There were no detected associations between any other food groups or risk of membership in the BV group.

conclusionsHigher consumption of low-fat dairy was associated with increased likelihood of membership in a beneficial vagitype, potentially driven by probiotics.

Indexed as

MicrobiotaVaginosis, BacterialBacteriaCross-Sectional StudiesDietFemaleHumansPregnancyVaginabacterial vaginosisdietmicrobiotapregnancy

Identifiers

PMID34841560
PMCPMC8881389

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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.