Evidence map›Paper›PMID 38033588›Full record

ArticleFrontiers in microbiology2023

Xing Wu, Jiahao Xu, Jingbo Li, Minzi Deng, Zhaohua Shen, Kai Nie, Weiwei Luo, Chao Zhang, Kejia Ma, Xuejie Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  3. Review
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  8. Review
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Frontiers in veterinary science · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. 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 at 2 institutions in 1 country.

Xing WuDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Jiahao XuDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Jingbo LiDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Minzi DengDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Zhaohua ShenDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Kai NieDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Weiwei LuoDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Chao ZhangDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Kejia MaDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Xuejie ChenDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Xiaoyan WangDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNThird Xiangya Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with inflammatory bowel disease (IBD) have a higher prevalence of depression. Gut microbiota dysbiosis plays an important role in IBD and depression. However, few studies have explored the characteristic microbiota of patients with IBD and depression (IBDD), or their role in IBDD. Methods: We performed deep metagenomic sequencing and 16S rDNA quantitative PCR to characterise the gut microbial communities of patients with IBDD and patients with IBD without depression (IBDND). We then assessed the effect of the microbiota on colitis and depression in mouse models of dextran sulfate sodium salt (DSS)-induced colitis and lipopolysaccharide (LPS)-induced depression. Furthermore, liquid chromatography-tandem mass spectrometry was used to analyse the microbiota-derived metabolites involved in gut-brain communication. Evans Blue tracer dye was used to assess blood-brain barrier (BBB) permeability. Results: Our results showed that the faecal abundance of Conclusion:

Indexed as

Bacteroides vulgatusdepressiongut–brain axisinflammatory bowel diseasep-hydroxyphenylacetic acid

Identifiers

PMID38033588
PMCPMC10687441
OpenAlexW4388735401

What OpenQuestion 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 OpenQuestion graph.