Evidence map›Paper›PMID 42788000›Full record

ReviewFrontiers in psychiatry2026

The microbiota-gut-brain axis in postpartum depression: a review of microbial mechanisms and therapeutic potential.

Linling Zhu, Fen Wang, Yifei Dai, Xinyun Yang, Xiudi Wang

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2026. 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

5 authors.

Linling ZhuDepartment of Gynecology, Hangzhou Women's Hospital, Hangzhou, Zhejiang, China.
Fen WangDepartment of Gynecology, Xiaoshan District Jingjiang Subdistrict Community Health Service Center, Hangzhou, Zhejiang, China.
Yifei DaiDepartment of Gynecology, Hangzhou Women's Hospital, Hangzhou, Zhejiang, China.
Xinyun YangDepartment of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiudi WangDepartment of Gynecology, Hangzhou Women's Hospital, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postpartum depression (PPD), a common but mechanistically uncertain mood disorder, occurs in 10-15% of mothers and seriously affects maternal and infant health. Recent evidence suggests that alteration of gut microbiota could dysregulate gut-brain axis functioning, which is potentially linked to the pathogenesis of PPD. This review innovatively synthesizes up-to-date preclinical and clinical evidence to illustrate relevant mechanisms, including microbial metabolite signaling, immune-inflammatory pathways, and neuroendocrine disruptors. Furthermore, the therapeutic potential of microbial-targeting approaches, including probiotics, dietary changes, and fecal microbiota transplant, to remedy PPD by restoring microbial health is discussed. Nevertheless, several notable limitations, translational uncertainties and major knowledge gaps still exist in this field. Most current evidence derives from cross-sectional observations, and well-designed longitudinal human studies are urgently needed to confirm causal relationships. In addition, available microbiota-related interventions have not yet developed into mature precision microbiome therapeutics. Against this background, this study proposes a microbiome framework connecting basic science and clinical applications that may help unravel the etiology and treatment of PPD.

Indexed as

gut-brain axisinflammationmicrobiotapostpartum depressionprobiotics

Identifiers

PMID42788000
PMCPMC13602952

What Socratic 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 Socratic graph.