Evidence map›Paper›PMID 39610873›Full record

ArticleSchizophrenia bulletin open2024

Integrated Analysis of Gut Microbiome, Inflammation, and Neuroimaging Features Supports the Role of Microbiome-Gut-Brain Crosstalk in Schizophrenia.

Hui Wu, Yaxi Liu, Yunwu Han, Bingdong Liu, Shengyun Chen, Zhiye Ye, Jianbo Li, Liwei Xie, Xiaoli Wu

Abstract read
In one paragraph

Article in Schizophrenia bulletin open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
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  6. Review
  7. Article
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  9. Observational
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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

9 authors.

Hui WuPsychiatry Department, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1757-9990
Yaxi LiuPsychiatry Department, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Yunwu HanPsychiatry Department, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Bingdong LiuState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, China.
Shengyun ChenPsychiatry Department, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Zhiye YePsychiatry Department, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Jianbo LiPsychiatry Department, The First People's Hospital of Kashi, Sun Yat-sen University, Kashi, China.
Liwei XieState Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Institute of Microbiology, Guangdong Academy of Sciences, Guangdong, China.ORCID https://orcid.org/0000-0002-4747-1753
Xiaoli WuPsychiatry Department, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-7530-5317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Hypothesis: Gut microbiota has been implicated in the pathogenesis of schizophrenia (SZ) and relevant changes in the brain, but the underlying mechanism remains elusive. This study aims to investigate the microbiota-gut-brain crosstalk centered on peripheral inflammation in SZ patients. Study Design: We recruited a cohort of 182 SZ patients and 120 healthy controls (HC). Multi-omics data, including fecal 16S rRNA, cytokine data, and neuroimaging data, were collected and synthesized for analysis. Multi-omics correlations and mediation analyses were utilized to determine the associations of gut microbiome with inflammatory cytokines and neuroimaging characteristics. Additionally, machine learning models for effective SZ diagnosis were separately generated based on gut microbial and neuroimaging data. Study Results: Gut microbial dysbiosis, characterized by a decrease in butyrate-producing bacteria and an increase in proinflammatory bacteria, has been identified in SZ patients. These key microbial taxa were associated with increased inflammatory cytokines, potentially through mediating lipid metabolic pathways such as steroid biosynthesis and linoleic acid metabolism. Further analysis revealed altered microbial genera to be correlated with disrupted gray matter volume and regional homogeneity in SZ patients. Importantly, certain inflammatory cytokines mediated the relationship between the SZ-enriched genus Conclusions: This study presents evidence for the dysregulated microbiota-gut-brain axis in SZ and emphasizes the central role of peripheral inflammation.

Indexed as

gut microbiomeinflammationmagnetic resonance imagingschizophrenia

Identifiers

PMID39610873
PMCPMC11604084

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.