ArticleTranslational oncology2026
A roadmap to unveil the mechanism(s) of natural indole-derived molecules against NAFLD-derived HCC via systems pharmacology.
Article in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Reading the tumour at single-cell resolution: Original research in the Precision Therapeutics special issue.Translational oncology · 2026Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNon-alcoholic fatty liver disease (NAFLD) is involved in non-alcoholic steatohepatitis (NASH), liver cirrhosis (LC), and even hepatocellular carcinoma (HCC). Hence, this study was to elucidate nuanced key mechanism(s), target(s), and Natural Indole-Derived Molecules (NIDMs) against NAFLD-derived HCC.
methodsThe NIDMs were retrieved by Natural Product Activity & Species Source Database (NPASS). The protein-protein interaction (PPI) networks, bubble plot on key signaling pathways, etiological spectrum-signaling pathways-targets-indoles (ESTI) networks, the verification of toxicity on key NIDMs, and MDE (Molecular Docking Evaluation) were performed with integrating perspective.
resultsThe 141 NIDMs were identified by NPASS and SwissADME, suggesting that the NIDMs were associated with Similarity Ensemble Approach (SEA; 845 targets) and SwissTargetPrediction (STP; 1107 targets). On PPI analysis, JUN was the uppermost target with the highest DV (Degree Value). A bubble plot based on rich factor constructed to identify key mechanism(s), suggesting that AGE-RAGE signaling pathway in diabetic complications might be key antagonistic mode to hinder the spontaneous progression of NAFLD. The key targets were JUN, and AGTR1 on AGE-RAGE signaling pathway in diabetic complications, binding most stably to Marinacarboline D, and Fumitremorgin F, respectively.
conclusionsIn closing, this study provides critical insights into the key mechanisms, targets, and NIDMs that may impede etiological spectrum of NAFLD.
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Registered trials
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.