Evidence map›Paper›PMID 39723046›Full record

ArticleFood science & nutrition2024

Anti-Inflammatory Action and Molecular Mechanism of Fucoidan Against Cystitis Glandularis.

Qingting Chen, Jie Mo, Yu Li, Li Gao, Ka Wu

Abstract read
In one paragraph

Article in Food science & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Bladder glandular cystitis causing renal dysfunction: A case report.International journal of surgery case reports · 2025
    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

5 authors.

Qingting ChenThe Third Affiliated Hospital of Guangxi Medical University, The Second People's Hospital of Nanning City Nanning China.
Jie MoThe Third Affiliated Hospital of Guangxi Medical University, The Second People's Hospital of Nanning City Nanning China.
Yu LiGuilin Medical University, Guilin Medical University Guilin China.
Li GaoDepartment of Urology Surgery The Second Affiliated Hospital of Guilin Medical University, Guilin Medical University Guilin China.ORCID https://orcid.org/0000-0003-0208-1222
Ka WuThe Third Affiliated Hospital of Guangxi Medical University, The Second People's Hospital of Nanning City Nanning China.ORCID https://orcid.org/0000-0002-6366-2234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystitis glandularis (CG), known as a pre-gradual lesion in the bladder, is the pathological changes in the vesical mucosa characterized by inflammatory invasion and chronic obstruction. Clinically, effective treatment against CG is prescribed only when using drug therapy. Fucoidan, the naturally extractive polysaccharide, is well-reported bioactive compound with anti-inflammatory and immunoregulatory properties. In this research, an emerging computational approach was applied to explicate anti-CG actions and pharmacological targets exhibited by fucoidan in detail. Current network pharmacology data showed that 16 intersection genes of fucoidan and CG were identified, whereas all 6 core targets, including interleukin-6 (IL-6), tumor necrosis factor (TNF), interleukin-1B (IL-1B), matrix metalloproteinase-9 (MMP-9), interleukin-10 (IL-10), matrix metalloproteinase-2 (MMP-2), biological processes, and signaling pathways of fucoidan against CG were characterized, respectively. As revealed in the underlying mechanism, the anti-CG actions achieved by fucoidan were chiefly implicated in the reduction of inflammatory reactions and enhancement of immunoregulation. Taken together, these network bioinformatics findings may be used to reveal anti-CG effects and the pharmacological mechanism of fucoidan before further experimental validation. Furthermore, those core genes identified may be therapeutic targets for research and development of fucoidan-anti-CG.

Indexed as

computational analysiscystitis glandularisfucoidanpharmacological targets

Identifiers

PMID39723046
PMCPMC11666824

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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.