Evidence map›Paper›PMID 39307280›Full record

Observational studyThe Journal of nutrition2024

Dietary Sugar and Saturated Fat Consumption Associated with the Gastrointestinal Microbiome during Pregnancy.

Caitlin Dreisbach, Tonja Nansel, Shyamal Peddada, Wanda Nicholson, Anna Maria Siega-Riz

Abstract readObservational Study
In one paragraph

Observational study in The Journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Caitlin DreisbachSchool of Nursing, University of Rochester, Rochester, NY, United States; Goergen Institute for Data Science, University of Rochester, Rochester, NY, United States. Electronic address: Caitlin_dreisbach@urmc.rochester.edu.
Tonja NanselSocial and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, United States.
Shyamal PeddadaBiostatistics & Computational Biology Branch, National Institute for Environmental Health Sciences, Bethesda, MD, United States.
Wanda NicholsonMilken Institute School of Public Health, George Washington University, Washington, DC, United States.
Anna Maria Siega-RizSchool of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, United States.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
NICHD NIH HHS HHSN275201300012CNICHD NIH HHS HHSN275201300026INIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

backgroundGrowing evidence supports changes in the gastrointestinal microbiome over the course of pregnancy may have an impact on the short- and long-term health of both the mother and the child.

objectiveOur objective was to explore the association of diet quality, as measured by the Healthy Eating Index (HEI), with the composition and gene ontology (GO) representation of microbial function in the maternal gastrointestinal microbiome during pregnancy.

methodsWe conducted a retrospective, observational analysis of n = 185 pregnant participants in the Pregnancy Eating Attributes Study. Maternal dietary intake was assessed in the first trimester using the automated self-administered 24-h recall method, from which the HEI 2015 was calculated. Rectal swabs were obtained in the second trimester and sequenced using the NovaSeq 6000 system shotgun platform. We used unsupervised clustering to identify microbial enterotypes representative of maternal taxa and GO functional term composition. Multivariable linear models were used to identify associations between taxa, functional terms, and food components while controlling for relevant covariates. Multinomial regression was then used to predict enterotype membership based on a participant's HEI food component score.

resultsThose in the high diet quality tertile had a lower early pregnancy BMI [mean (M) = 23.48 kg/m

conclusionsSpecific dietary components are associated with microbial composition and function in the second trimester of pregnancy. These findings provide a foundation for future testable hypotheses.

Indexed as

Dietary FatsDietary SugarsGastrointestinal MicrobiomeAdultDietFemaleHumansPregnancyRetrospective StudiesDietary FatsDietary SugarsdairydietHealthy Eating IndexMicrobiotapregnancysaturated fatsugar

Identifiers

PMID39307280
PMCPMC11600114

What OpenQuestion holds

Textmetadata
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.