Exploration of the molecular mechanism of Polygonati Rhizoma in the treatment of hyperlipidemia based on network pharmacology and molecular docking
Pan P., Li Q., Lin H., Dong L., Lv K., Wang Z.
Laboratory Study, published in Medicine (Baltimore) (2025) — summary generated from the PubMed abstract.
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Laboratory Study
- Journal
- Medicine (Baltimore) (2025)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 40859479
- PMCID
- PMC12385098
- DOI
- 10.1097/md.0000000000044087
- Citations
- 1
Abstract (original English)
The purpose of this study was to study the potential mechanism of Polygonati Rhizoma for treating hyperlipidemia (HLP) based on network pharmacology and molecular docking. Predicted potential targets and signaling pathway networks were established between candidate active compounds and therapeutic targets of HLP. The Traditional Chinese Medicine Systems Pharmacology and Analysis Platform database is a Chinese medicine collection and analysis system, and various target genes were identified for the treatment of HLP. The treatment data on HLP in the Human Gene Card, Online Mendelian Inheritance in Man, and the Therapeutic Target Database were input into disease targets. The 4 databases in the treatment of HLP were input into Venny 2.1.0 to screen the core targets of Polygonati Rhizoma in the treatment of HLP. The "drug-ingredient-target" network model was built with Cytoscape 3.9.1 software. In order to analyze protein-protein interaction networks, the Search Tool for Retrieval of Interacting Genes/Proteins database was updated with the added key targets. To identify functional annotations and path enrichment associated with potential genes, the Metascape database was used for path enrichment analysis of data from Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. A docking software program, Autodock Tools, was used to analyze and confirm chemically high-quality drug elem
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • This is preclinical work; animal or laboratory results cannot be applied to humans.
Evidence level
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
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