Evidence map›Paper›PMID 39960648›Full record

ArticleMolecular neurobiology2025

Systematical Comparison Reveals Distinct Brain Transcriptomic Characteristics in Depression Models Induced by Gut Microbiota Dysbiosis and Chronic Stress.

Siwen Gui, Yiyun Liu, Juncai Pu, Dongfang Wang, Xiaogang Zhong, Weiyi Chen, Xiaopeng Chen, Yue Chen, Xiang Chen, Wei Tao and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Lanzhou Lily (Food science & nutrition · 2026
    Article
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

11 authors.

Siwen GuiNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Yiyun LiuNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Juncai PuNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Dongfang WangNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Xiaogang ZhongNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Weiyi ChenNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Xiaopeng ChenNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Yue ChenNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Xiang ChenNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Wei TaoNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China.
Peng XieNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 40016, China. xiepeng@cqmu.edu.cn.

Funding

The China Postdoctoral Science Foundation 2022MD723735The Chongqing Natural Science Foundation CSTB2022NSCQ-BHX0011The Joint project of Chongqing Municipal Science and Technology Bureau and Chongqing Health Commission 2023CCXM003The Natural Science Foundation of Chongqing cstc2022ycjh-bgzxm0033The Natural Science Foundation Project of China 82101596The Young Elite Scientists Sponsorship Program by CAST 2021QNRC001
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a devastating psychiatric illness with various etiologies. Both chronic stress and gut microbiome dysbiosis are implicated in the pathogenesis of MDD. However, limited research has been conducted to delineate the distinct effects of these two pathogenic factors on the brain transcriptome. We generated and compared transcriptomic features of the anterior cingulate cortex (ACC) from depressive-like mice induced by gut microbiome dysbiosis and canonical chronic stress paradigms, focusing on gene expression patterns and network characteristics. Data derived from MDD patients served as a reference standard to filter the molecular alterations associated with the disorder. Chronic stress induced a plethora of altered genes and biological functions associated with depression, prominently involving mitochondrial dysfunction. However, gut microbiota dysbiosis specifically regulated narrower range of genes and biological mechanisms, targeting aberrations in vesicular transport systems and perturbations of autophagy pathways. Network analysis revealed that hierarchical gene co-expression was specifically affected by gut microbiota dysbiosis rather than chronic stress. Further functional clustering analysis, along with the central distribution of inflammation-related differentially expressed genes, suggested an intricate interplay between disrupted autophagy processes, microglia-mediated inflammation, and synaptic dysfunctions in the network influenced by gut microbiota dysbiosis. Our findings reveal the distinctive transcriptomic alterations of brain shaped by gut microbiota and chronic stress in the development of MDD, contributing to a deeper understanding the heterogeneity of depression. Additionally, we provide a valuable data resource and bioinformatic analysis template for future studies.

Indexed as

BrainDepressionDysbiosisGastrointestinal MicrobiomeStress, PsychologicalTranscriptomeAnimalsChronic DiseaseDisease Models, AnimalHumansMajor Depressive DisorderMaleMiceMice, Inbred C57BLAutophagyChronic stressDistinctive transcriptomic alterationGut microbiotaMajor depressive disorder

Identifiers

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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.