Gut microbial metabolites targeting JUN in renal cell carcinoma via IL-17 signaling pathway: network pharmacology

Stany Bala Kumar1, Shatakshi Mishra2, Anushka Das3

  • 1School of Science, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.

Molecular Diversity
|April 18, 2025
PubMed

Insights

Gut microbes influence kidney disease. This study identified gut microbial metabolites targeting the JUN/AP-1 gene, offering potential new treatments for renal cell carcinoma (RCC).

Area of Science:

  • Microbiology
  • Oncology
  • Pharmacology

Background:

  • The gut microbiome significantly impacts renal diseases, including renal cell carcinoma (RCC).
  • Gut microbial metabolites (GMM) are increasingly linked to RCC progression.
  • Understanding GMM's mechanisms against RCC is crucial for developing novel therapies.

Purpose of the Study:

  • To computationally explore the mechanistic action of GMM against RCC using a network pharmacology approach.
  • To identify key GMM and their molecular targets involved in RCC pathogenesis.
  • To evaluate the therapeutic potential of identified GMM.

Main Methods:

  • A computational network pharmacology framework was utilized.
  • GMM and their targets were identified using databases like gutMgene, DisGeNET, GeneCard, and OMIM.
  • Network construction, pathway enrichment, protein-protein interaction, drug-likeness, ADMET prediction, molecular docking, and molecular dynamics simulations were performed.

Main Results:

  • The JUN/AP-1 gene was identified as a prime target.
  • Icaritin showed the highest binding affinity to JUN/AP-1, followed by Quercetin and Luteolin.
  • Molecular dynamics simulations confirmed the stable binding of Icaritin.

Conclusions:

  • GMM can influence anticancer activity via regulatory pathways involving the JUN/AP-1 gene.
  • These findings provide a foundation for developing microbiome-based therapies for RCC.
  • Further in vitro and in vivo studies are warranted to validate these computational predictions.

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