Evidence map›Paper›PMID 41256505›Full record

ArticlebioRxiv : the preprint server for biology2025

Perinatal Shifts in Fecal-Derived Metabolites and Associations with Postpartum Depression.

Kayla D Longoria, Michelle L Wright, Kimberly A Lewis, Sarina R Garcia, Oscar Y Franco-Rocha, Sara Dube, Tien C Nguyen, Elena Flowers, Elizabeth M Widen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Kayla D LongoriaDepartment of Physiological Nursing, The University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3621-388X
Michelle L WrightSchool of Nursing, Department of Women's Health, The University of Texas at Austin and Dell Medical School, Austin, TX, USA.ORCID 0000-0002-9348-8740
Kimberly A LewisDepartment of Physiological Nursing, The University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-2590-8627
Sarina R GarciaSchool of Pharmacy, The University of California, San Francisco, San Francisco, CA, USA.ORCID 0009-0001-0658-6298
Oscar Y Franco-RochaSchool of Nursing, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-5547-1518
Sara DubeDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-8108-3439
Tien C NguyenSchool of Medicine, The University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-2121-0915
Elena FlowersDepartment of Physiological Nursing, The University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7054-7533
Elizabeth M WidenDepartment of Nutritional Sciences, Department of Women's Health and Pediatrics, The University of Texas at Austin and Dell Medical School, Austin, TX, USA.ORCID 0000-0002-9574-6109

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Precision Health Intervention Methodology Training in Self-Management of Multiple Chronic ConditionsT32NR019035 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI STUIFBERGEN, ALEXA · 2020 to 2024
$995k
Pregnancy weight trajectories and offspring adiposityR00HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2018 to 2020
$744k
NICHD NIH HHS P2C HD042849NICHD NIH HHS R00 HD086304NINR NIH HHS T32 NR019035
6 · The paper itself

Abstract

Introduction: Research on maternal depression is largely limited to static, blood-derived biomarkers in the postpartum period and mechanistic targets derived from populations outside the physiological contexts of pregnancy and postpartum, resulting in critical gaps in understanding context-specific mechanisms underlying this debilitating condition. Objectives: To examine temporal shifts in the maternal gut metabolome and associations between pregnancy-specific shifts and postpartum depression (PPD). Methods: We applied untargeted metabolomics (UPLC-MS/MS) to fecal samples collected from participants (N= 25) enrolled in the Maternal and Infant NutriTion (MINT) study. Random forest analysis was used to identify key pathways and metabolites contributing to temporal shifts. Fold change analysis and paired t-tests were used to quantify the magnitude and significance of metabolite changes. Associations between pregnancy-specific changes and PPD (Edinburgh Postnatal Depression Scale at 6 weeks) were identified using Pearson's correlation. Results: Lipid, amino acid, and xenobiotic metabolism emerged as core pathways driving temporal changes in the maternal gut metabolome. The most pronounced shifts occurred from 35 weeks gestation to postpartum, with 55 metabolites significantly altered compared to 24 from 24- to 35 weeks gestation and 26 from 24 weeks gestation to postpartum. Of the 29 metabolites associated with PPD; 68.9% were metabolic intermediates, primarily involved in lipid and amino acid metabolism (58.6%). Conclusions: This study provides some of the first evidence of temporal shifts in the maternal gut metabolome and associations with PPD, highlighting the importance of lipid and amino acid metabolism and laying the groundwork for future multi-omics research.

Indexed as

gut metabolomematernalmental healthmetabolomics

Identifiers

PMID41256505
PMCPMC12621711

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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.