Evidence map›Paper›PMID 41278153›Full record

ArticleWorld journal of gastroenterology2025

Unveiling Yiyi Fuzi Baijiang powder: Microecological and network pharmacology approach to ulcerative colitis treatment.

Liang-Kun Zhang, Wen-Chao Gu, Jian Chen

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Liang-Kun ZhangJinan Central Hospital Affiliated to Shandong First Medical University, Jinan 250355, Shandong Province, China.
Wen-Chao GuShandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China.
Jian ChenJinan Central Hospital Affiliated to Shandong First Medical University, Jinan 250355, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYiyi Fuzi Baijiang powder (YFB), a classic Chinese medicine, significantly affects ulcerative colitis (UC). However, it remains unclear whether YFB plays a therapeutic role by improving the intestinal flora of UC patients and its active ingredients.

aimTo explore the mechanisms of action of YFB in treating UC.

methodsA mouse model of UC was established by drinking 2.5% dextran sulfate sodium (DSS). Mice were treated with YFB. 16S rDNA sequencing was used to detect changes in intestinal flora and perform functional predictions. Corresponding target genes of core active ingredients in YFB and UC were obtained using multiple database retrievals and then used to predict the mechanism of overlapping targets. After screening core ingredients and target genes, AutoDock software was used for molecular docking, and the best binding target was selected to verify binding activity.

resultsYFB improved DSS-UC mice by restoring body weight, reducing disease activity index, increasing water and food intake, and alleviating diarrhea and local histopathological damage. YFB enhanced beta diversity, decreased pathogenic bacteria such as

conclusionYFB treats UC by reducing harmful bacteria and boosting probiotics to restore intestinal balance, while potentially influencing signaling pathways.

Indexed as

Colitis, UlcerativeDrugs, Chinese HerbalGastrointestinal MicrobiomeAnimalsColonDextran SulfateDisease Models, AnimalHumansMaleMiceMolecular Docking SimulationNetwork PharmacologyPowdersSignal TransductionDextran SulfateDrugs, Chinese HerbalPowdersChinese medicineGut microbiotaIntestinal floraMechanismMicrobiomeMolecular dockingNetwork pharmacologyUlcerative colitisYiyi Fuzi Baijiang powder

Identifiers

PMID41278153
PMCPMC12635753

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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.