ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025
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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Purpose: There is an urgent need to develop antidiabetic medications with minimal side effects and low toxicity. Materials and Methods: Relevant compounds and targets of Ganoderma were collected from the TCMSP database, BATMAN-TCM database, relevant literature and PubChem. A diabetes-related target database was constructed using TTD, BATMAN-TCM, and Uniprot. A PPI network and H-C-T-P network were constructed to analyze interactions among these targets. GO and KEGG enrichment analyses were performed using WebGestalt. Molecular docking of the core compounds and key targets was carried out using AutoDock Vina. The predicted key targets were verified via qRT-PCR in PA-induced HepG2 cells, using GLAE (ethanol extract of Ganoderma lucidum) as the treatment. Results: A total of 58 compounds were screened out in Conclusion: Glucose and lipid metabolism are important for the anti-diabetic activity of
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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 Socratic graph.