Evidence map›Paper›PMID 40251457›Full record

ArticleMolecular diversity2026

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

Stany Bala Kumar, Shatakshi Mishra, Anushka Das, Sagnik Nag, Rakesh Naidu

Abstract read
In one paragraph

Article in Molecular diversity, 2026. 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

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

2 citing papers in PubMed.

  1. Review
  2. Article
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

5 authors.

Stany Bala Kumar *School of Science, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
Shatakshi Mishra *Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
Anushka DasDepartment of Biomedical Sciences, School of Bio-Sciences & Technology (SBST), Vellore Institute of Technology (VIT), 632014, Vellore, Tamil Nadu, India.
Sagnik NagJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
Rakesh NaiduJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia. Rakesh.Naidu@monash.edu.ORCID http://orcid.org/0000-0003-0648-8898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Carcinoma, Renal CellGastrointestinal MicrobiomeInterleukin-17Kidney NeoplasmsNetwork PharmacologySignal TransductionFlavonoidsHumansMolecular Docking SimulationMolecular Dynamics SimulationFlavonoidsInterleukin-17Gut microbial metabolitesIcaritinIL-17 pathwayJUN/AP-1Molecular dockingRenal cell carcinoma

Identifiers

PMID40251457
PMCPMC12926257

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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.