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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.
Abstract:
The gut microbiome plays a crucial role in renal diseases, influencing conditions such as renal cell carcinoma (RCC), acute kidney injuries, and diabetic nephropathy. Recent studies highlight the association between gut microbial metabolites (GMM) and RCC progression. This study employs a computational network pharmacology framework to explore the mechanistic action of gut microbiota-derived metabolites against RCC. GMM were selected from the gutMgene database and analyzed for common targets using DisGeNET, Gene Card, and OMIM. Downstream analysis included gene ontology, KEGG pathway enrichment, metabolite-target-pathway-disease network construction, and protein-protein interaction analysis. Further, key metabolites were evaluated for drug-likeness, ADMET properties, and molecular docking, followed by molecular dynamics simulations (MDS) to assess complex stability. The JUN/AP-1 gene emerged as the prime target, exhibiting the highest binding affinity with Icaritin (- 5.9 kcal/mol), followed by Quercetin and Luteolin. MDS confirmed the stable binding of Icaritin to the active site throughout the simulation. These GMM may influence anticancer activity through distinct regulatory pathways involving the JUN/AP-1 gene, either by inhibiting or modulating its function. These insights establish a basis for further in vitro and in vivo investigations, supporting the development of microbiome-based therapeutic approaches.
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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