Evidence map›Paper›PMID 40391375›Full record

ArticleFrontiers in pharmacology2025

Integrated metabolomics and network pharmacology analysis to reveal the mechanisms of Wenshenyang decoction in the treatment of chronic kidney disease.

Ge Jin, Zongjiang Zhao

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

2 authors.

Ge JinSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Zongjiang ZhaoSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Wenshenyang decoction (WSY) has been shown to have a considerable effect on restoring renal function and improving kidney Yang deficiency syndrome in patients with CKD. However, its mechanism remains unclear. Aims: This study aimed to integrated metabolomics and network pharmacology analysis combined with Materials and methods: Patients were selected from a clinical trial. LC-MS (Liquid chromatography-mass spectrometry) was used to investigate the differential metabolites and pathways. Spearman correlation analysis was performed between differential metabolites and clinical phenotypes. "Drug-component-differential metabolite" network was constructed to predict the core components and hub genes, and validated by molecular docking. On this basis, the effects of core components of WSY on the viability of Human Kidney-2 cells (HK-2) induced by doxorubicin (DOX) was detected by CCK-8, and RT-qPCR (Reverse transcription quantitative polymerase chain reaction) was used to detect the mRNA expression level of hub genes and related targets. Key findings: LC-MS detected 54 differential metabolites, of which 35 metabolites showed up regulated, and 19 decreased. Spearman analysis showed that the differential metabolites were correlated with the clinical phenotype. KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis showed that WSY mainly affected linoleic acid metabolism, FcεRI signaling pathway, and unsaturated fatty acid biosynthesis. The "Drug-component-differential metabolite" network showed that the core components of WSY were quercetin, luteolin and kaempferol, and the hub genes were PTGS2, AKT1, MMP9, EGFR and MMP2. Molecular docking showed that they had good biological binding capacity. Significance: WSY has multi-component and multi-target properties in the treatment of CKD kidney Yang deficiency syndrome, and its mechanism may be related to anti-inflammatory and anti-fibrotic effects. This study provides a methodological reference for the treatment of CKD.

Indexed as

chronic kidney diseaseexperimental verificationmetabolomicsmolecular mechanismsnetwork pharmacology

Identifiers

PMID40391375
PMCPMC12086429

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