Evidence map›Paper›PMID 40841751›Full record

ArticleScientific reports2025

Exploring the molecular mechanism of budesonide enteric capsules in the treatment of IgA nephropathy based on bioinformatics.

Mengshu Lin, Shengji Chen, Yixuan Chen, Qing Gao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

4 authors.

Mengshu LinDepartment of Nephrology, Zhongshan Hospital of Xiamen University, Xiamen University, Xiamen, China.
Shengji ChenThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Yixuan ChenThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Qing GaoDepartment of Nephrology, Zhongshan Hospital of Xiamen University, Xiamen University, Xiamen, China. qinggao_neph1@163.com.

Funding

the Fujian Provincial Nature and Science Foundation No. 2025J01120421
6 · The paper itself

Abstract

IgA nephropathy (IgAN) is a prevalent primary glomerular disease and a major contributor to end-stage renal disease (ESRD). Budesonide Enteric Capsules (Nefecon®) are the first treatment approved by the U.S. Food and Drug Administration (FDA) targeting galactose-deficient IgA1 (Gd-IgA1) synthesis in the terminal ileum for IgAN. However, the detailed molecular mechanisms underlying its efficacy remain to be fully elucidated. In this study, we utilized bioinformatics approaches to integrate data from the GeneCards, CTD, and OMIM databases, identifying 787 IgAN-related targets. Additionally, we employed the PharmMapper, CTD and TargetNet databases to predict 384 budesonide targets, ultimately pinpointing 122 common targets. GO and KEGG enrichment analyses indicated that these targets are significantly enriched in biological processes such as apoptosis, inflammation responses, and cell proliferation, as well as in key pathways, including pathways in cancer, the PI3K-Akt signaling pathway, and the IL-17 signaling pathway. Protein-protein interaction (PPI) network analysis identified 10 core targets, including IL-6, TNF, AKT1, and TGF-β1, all of which exhibited strong binding affinity with budesonide in molecular docking studies. This study suggests that budesonide may exert its therapeutic effects on IgAN through multi-target and multi-pathway synergistic actions, offering valuable insights for its application in the clinical management of IgAN.

Indexed as

BudesonideComputational BiologyGlomerulonephritis, IGACapsulesHumansMolecular Docking SimulationProtein Interaction MapsSignal TransductionBudesonideCapsulesBioinformaticsBudesonideIgA nephropathyMolecular dockingNefecon

Identifiers

PMID40841751
PMCPMC12370892

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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.