Evidence map›Paper›PMID 39293607›Full record

ArticleJournal of affective disorders2025

Affective symptoms in pregnancy are associated with the vaginal microbiome.

Kristin Scheible, Robert Beblavy, Michael B Sohn, Xing Qui, Ann L Gill, Janiret Narvaez-Miranda, Jessica Brunner, Richard K Miller, Emily S Barrett, Thomas G O'Connor and 1 more

Abstract read
In one paragraph

Article in Journal of affective disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kristin ScheibleDepartment of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA; Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Robert BeblavyDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Michael B SohnDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Xing QuiDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Ann L GillDepartment of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Janiret Narvaez-MirandaDepartment of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Jessica BrunnerDepartment of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Richard K MillerDepartment of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Emily S BarrettBiostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA; Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, USA.
Thomas G O'ConnorDepartment of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA; Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA; Wynne Center for Family Research, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Steven R GillDepartment of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA. Electronic address: steven_gill@urmc.rochester.edu.

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BRIAN T BUCKLEY · 1988 to 2026
$47.4M
VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Pre- and Postnatal Exposure Periods for Child Health: Common Risks and Shared MechanismsUH3OD023349 · OD · UNIVERSITY OF ROCHESTER · PI Emily S Barrett, Richard Kermit Miller · 2018 to 2026
$15.9M
Pre- and Postnatal Exposure Periods for Child Health: Common Risks and Shared MechanismsUG3OD023349 · OD · UNIVERSITY OF ROCHESTER · PI BARRETT, EMILY S, MILLER, RICHARD KERMIT · 2016 to 2024
$7.0M
Neurobiological and neurocognitive consequences of diverse microbiome functional trajectoriesR01MH125103 · NIMH · UNIVERSITY OF ROCHESTER · PI STEVEN R. GILL, Thomas G O'Connor · 2022 to 2026
$3.2M
Understanding Prenatal Signals and Infant Development (UPSIDE)R01HD083369 · NICHD · UNIVERSITY OF ROCHESTER · PI BARRETT, EMILY S · 2015 to 2019
$2.6M
NCATS NIH HHS UL1 TR002001NICHD NIH HHS R01 HD083369NIEHS NIH HHS P30 ES001247NIEHS NIH HHS P30 ES005022NIH HHS UG3 OD023349NIH HHS UH3 OD023349NIMH NIH HHS R01 MH125103
6 · The paper itself

Abstract

backgroundComposition of the vaginal microbiome in pregnancy is associated with adverse maternal, obstetric, and child health outcomes. Therefore, identifying sources of individual differences in the vaginal microbiome is of considerable clinical and public health interest. The current study tested the hypothesis that vaginal microbiome composition during pregnancy is associated with an individual's experience of affective symptoms and stress exposure.

methodsData were based on a prospective longitudinal study of a medically healthy community sample of 275 mother-infant pairs. Affective symptoms and stress exposure and select measures of associated biomarkers (diurnal salivary cortisol, serum measures of sex hormones) were collected at each trimester; self-report, clinical, and medical records were used to collect detailed data on socio-demographic factors and health behavior, including diet and sleep. Vaginal microbiome samples were collected in the third trimester (34-40 weeks) and characterized by 16S rRNA sequencing. Identified taxa were clustered into three community clusters (CC1-3) based on dissimilarity of vaginal microbiota composition.

resultsResults indicate that depressive symptoms during pregnancy were reliably associated with individual taxa and CC3 in the third trimester. Prediction of functional potential from 16S taxonomy revealed a differential abundance of metabolic pathways in CC1-3 and individual taxa, including biosynthetic pathways for serotonin and dopamine. We did not find robust evidence linking symptom- and stress-related biomarkers and CCs.

conclusionsOur results provide further evidence of how prenatal psychological distress during pregnancy alters the maternal-fetal microbiome ecosystem that may be important for understanding maternal and child health outcomes.

Indexed as

MicrobiotaVaginaAdultAffective SymptomsBiomarkersDepressionFemaleHumansHydrocortisoneLongitudinal StudiesPregnancyPregnancy ComplicationsPregnancy Trimester, ThirdProspective StudiesRNA, Ribosomal, 16SSalivaBiomarkersHydrocortisoneRNA, Ribosomal, 16SAffective symptomsCommunity state typeCortisolSex hormonesSocio-demographicVaginal microbiome

Identifiers

PMID39293607
PMCPMC11560476

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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.