Evidence map›Paper›PMID 41476898›Full record

ReviewInternational journal of microbiology2025

The Microbiota-Gut-Brain Axis in Depression: Mechanisms, Microbiota-Targeted Interventions, and Translational Challenges.

Liang Zeng, Siyu Zhang, Ruoxi Liu, Lili Wang, Yurong Tan

Abstract readReview
In one paragraph

Review in International journal of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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.

Liang ZengDepartment of Medical Microbiology, Xiangya School of Basic Medicine, Central South University, Changsha, Hunan, China, csu.edu.cn.
Siyu ZhangDepartment of Medical Microbiology, Xiangya School of Basic Medicine, Central South University, Changsha, Hunan, China, csu.edu.cn.
Ruoxi LiuDepartment of Medical Microbiology, Xiangya School of Basic Medicine, Central South University, Changsha, Hunan, China, csu.edu.cn.
Lili WangDepartment of Medical Microbiology, Xiangya School of Basic Medicine, Central South University, Changsha, Hunan, China, csu.edu.cn.ORCID https://orcid.org/0009-0001-9014-8214
Yurong TanDepartment of Medical Microbiology, Xiangya School of Basic Medicine, Central South University, Changsha, Hunan, China, csu.edu.cn.ORCID https://orcid.org/0000-0002-0283-2105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression, a global mental health pandemic, persists with unmet therapeutic needs due to the limitations of conventional antidepressants. Emerging evidence suggests that the microbiota-gut-brain axis (MGB axis) is a crucial regulator of depressive pathophysiology, facilitating bidirectional communication between the gut microbiota and the central nervous system (CNS) through neural, immune, endocrine, and metabolic pathways. This review explores the complex mechanisms underlying MGB dysfunction in depression, including vagus nerve-mediated signaling, cytokine-driven neuroinflammation, and hypothalamic-pituitary-adrenal (HPA) axis dysregulation. Innovations in microbiota-targeted interventions, ranging from probiotic engineering and precision dietary modulation to bacteriophage therapy and AI-driven personalized medicine, have been critically assessed for their potential to restore MGB homeostasis. By linking mechanistic insights with clinical translation, this work outlines a roadmap for transforming the gut microbiota into a therapeutic frontier for depression.

Indexed as

depressionintestinal dysbiosismicrobiota–gut–brain axisprobiotics

Identifiers

PMID41476898
PMCPMC12752827

What Socratic 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 Socratic graph.