Evidence map›Paper›PMID 41879323›Full record

ArticleMicrobiology spectrum2026

Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease.

Genevieve A Mortensen, Haley Schmidt, Predrag Radivojac, Yuzhen Ye, David M Haas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2026. 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. Review
  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.

Genevieve A MortensenDepartment of Computer Science, Indiana University Bloomington, Bloomington, Indiana, USA.ORCID 0009-0003-4370-3646
Haley SchmidtDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Predrag RadivojacDepartment of Computer Science, Northeastern University, Boston, Massachusetts, USA.
Yuzhen YeDepartment of Computer Science, Indiana University Bloomington, Bloomington, Indiana, USA.
David M HaasDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0002-8379-0743

Funding

Subtractive assembly approaches for inferring disease-associated microbial genes and pathways from microbiome sequencing dataR01AI143254 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI YE, YUZHEN · 2019 to 2023
$1.1M
NIAID NIH HHS R01 AI143254
6 · The paper itself

Abstract

The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on conditions like gestational hypertension (GH) and gestational diabetes mellitus (GDM) remains poorly understood. This study explores how the gut microbiome differs between pregnant women with these conditions and healthy controls, using metagenomic sequencing to analyze microbial composition and function. Our findings reveal that women with GH and GDM exhibit greater microbiome variability and distinct shifts in bacterial communities compared to healthy pregnancies. Key beneficial bacteria, such as

Indexed as

gestational diabetesgestational hypertensiongut microbiomemachine learningmaternal-fetal healthpredictive modelingshotgun metagenomics

Identifiers

PMID41879323
PMCPMC13141881

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.