Evidence map›Paper›PMID 36483152›Full record

ArticleWorld journal of gastroenterology2022

Differential analysis of intestinal microbiota and metabolites in mice with dextran sulfate sodium-induced colitis.

Jia-Li Wang, Xiao Han, Jun-Xiang Li, Rui Shi, Lei-Lei Liu, Kai Wang, Yu-Ting Liao, Hui Jiang, Yang Zhang, Jun-Cong Hu and 2 more

Open access · greenAbstract read
In one paragraph

Article in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Metabolites · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. PasteurizedFrontiers in microbiology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Effect ofNutrients · 2023
    Article
  19. 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

12 authors at 1 institution in 1 country.

Jia-Li WangGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Xiao HanGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Jun-Xiang LiDepartment of Gastroenterology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China.
Rui ShiDepartment of Gastroenterology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China.
Lei-Lei LiuCollege of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China.
Kai WangDepartment of Emergency, The First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Yu-Ting LiaoDepartment of Geriatrics, Gulou Hospital of Traditional Chinese Medicine, Beijing 100009, China.
Hui JiangGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Yang ZhangGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Jun-Cong HuGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Li-Ming ZhangGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Lei ShiDepartment of Gastroenterology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China. b01350@bucm.edu.cn.
Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntestinal micro-ecological imbalances impair the intestinal barrier and induce intestinal inflammation, for example, ulcerative colitis (UC). According to the latest research, abnormalities in intestinal microbiota structure and their metabolites play a dominant role in UC progression; in addition, they could affect the mucus barrier based on different factors. Although numerous studies have confirmed the important role of intestinal microbiota in UC pathogenesis, the intricate connection between microbiota and metabolites and mucus barrier in UC occurrence remains unclear, and correlation analyses of differential microbiota and their metabolites under UC are relatively scarce.

aimTo reveal the differential intestinal microbiota and metabolites in UC pathogenesis and explore more sensitive biomarker compositions.

methodsWe used the antibiotic combination method to establish intestinal pseudo-aseptic mice; afterward, dextran sulfate sodium (DSS) was applied to establish an acute experimental colitis mice model. Colitis severity, assessed based on disease activity index, colorectal length, colorectal wet weight, and histological lesions, and mucus-related staining (mucopolysaccharide alcian blue and immunofluorescence of mucin), was compared between the pseudo-aseptic and bacterial colitis mice. Finally, differential intestinal microbiota, metabolites, and their association and correlations, were analyzed by 16s rDNA sequencing in combination with non-targeted metabolomics, through gas chromatography-mass spectrometry.

resultsCompared with the pseudo-aseptic mice, intestinal bacteria positive mice were more severely ill and their intestinal mucus loss was more pronounced in DSS-induced colitis (

conclusionMicrobiota and their metabolites are major factors regulating the composition and function of mucus, in turn influencing the function and structure of intestinal mucus barrier under colitis. The different microbiota and metabolites identified in the present study could be novel biomarkers for colitis.

Indexed as

Gastrointestinal MicrobiomeAnimalsDextran SulfateMetabolomicsMiceMucinsDextran SulfateMucinsDextran sulfate sodiumGut microbiotaMetabolitesMucinUlcerative colitis

Identifiers

PMID36483152
PMCPMC9724481
OpenAlexW4309309489

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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.