Evidence map›Paper›PMID 38357350›Full record

ReviewFrontiers in microbiology2024

Depression-associated gut microbes, metabolites and clinical trials.

Meiling Wang, Zhaoqi Song, Shirong Lai, Furong Tang, Lijun Dou, Fenglong Yang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Discovering a new paradigm: Gut microbiota as a central modulator of sexual health.World journal of gastrointestinal pathophysiology · 2025
    Review
  9. Review
  10. Article
  11. Review
  12. Increased relative abundance ofFrontiers in sleep · 2025
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Human Gut Microbiota for Diagnosis and Treatment of Depression.International journal of molecular sciences · 2024
    Review
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

6 authors.

Meiling Wang *Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China.
Zhaoqi Song *Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China.
Shirong LaiDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China.
Furong TangDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, China.
Lijun DouGenomic Medicine Institute, Lerner Research Institute, Cleveland, OH, United States.
Fenglong YangDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is one of the most prevalent mental disorders today. Over the past decade, there has been considerable attention given to the field of gut microbiota associated with depression. A substantial body of research indicates a bidirectional communication pathway between gut microbiota and the brain. In this review, we extensively detail the correlation between gut microbiota, including

Indexed as

clinical trialsdepressiongut microbiotametabolitespathogenesis

Identifiers

PMID38357350
PMCPMC10864537

What OpenQuestion holds

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LicenceCC BY
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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.