Evidence map›Paper›PMID 40191037›Full record

ArticleFrontiers in molecular biosciences2025

Network pharmacology analysis of Lanatoside C: molecular targets and mechanisms in the treatment of ulcerative colitis.

Wenjing Zhu, Zhengjie Zhang, Xinyuan Wang

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Article in Frontiers in molecular biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Wenjing ZhuCollege of Art, Jiangsu Open University, Nanjing, China.
Zhengjie ZhangCollege of Art, Jiangsu Open University, Nanjing, China.
Xinyuan WangSchool of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ulcerative colitis (UC) is a chronic and progressive inflammatory disease of the intestines, marked by recurrent inflammation along the digestive tract, leading to symptoms such as bloody diarrhea and weight loss, severely impacting patients' quality of life. Despite extensive research, current therapeutic treatment for UC still faces challenges in long-term efficacy and safety. Lanatoside C (LanC), as a type of cardiac glycosides, has shown promising anti-inflammatory effects. This study employs network pharmacology to investigate the effects and mechanisms of LanC in the treatment of UC. Method: LanC- and UC-associated target genes datasets were retrieved from the Genecards, DisGeNET, and Gene Expression Omnibus database. Integration analysis identified a common set of potential LanC targets for UC treatment. Analyses of Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed on these target genes. Additionally, a protein-protein interaction (PPI) network was constructed to identify the top targets with the highest connectivity. Molecular docking and cellular experiments were subsequently carried out to further validated these findings. Results: 23 intersecting genes were identified as potential targets of LanC in UC. Among these, KDR, STAT3, ABCB1, CYP3A5, and CYP2B6 emerged as the top 5 targets with high therapeutic potential. Pathway analysis indicated the involvement of fatty acid and lipid metabolism, as well as xenobiotic metabolism pathways, which could be crucial for LanC's efficacy in treating UC. Molecular docking simulations revealed favorable binding interaction between LanC and KDR, STAT3, ABCB1, CYP3A5, and CYP2B6. Furthermore, Conclusion: This study demonstrates a comprehensive overview of the therapeutic potential of LanC in UC and elucidates its mechanisms of action. These findings offer a theoretical basis for further optimizing UC clinical therapy and underscore the potential of LanC as a novel therapeutic option for UC.

Indexed as

colitisexperimental verificationLanatoside Cmolecular dockingnetwork pharmacology

Identifiers

PMID40191037
PMCPMC11968694

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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.