Pharmaceuticals (Basel, Switzerland) · 2026
Material Basis and Mechanisms of Action of PuRenDan in the Treatment of Type 2 Diabetes Mellitus: An Integrated Network Pharmacology and Molecular Simulation Study.
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Yang Wenshuai, Ouyang Gaojie, Zhou Wenwen, Lu Binan, Pang Zongran
Аннотация
Background/Objectives: Type 2 diabetes mellitus (T2DM) is a chronic multifactorial metabolic disorder requiring multi-target therapeutic strategies. This study aimed to predict the potential material basis, key targets and molecular mechanisms by which PuRenDan (PRD) may act against T2DM through an integrated network pharmacology and molecular simulation approach. Methods: Active compounds of PRD were screened from TCMSP, HERB 2.0 and the literature, and compound-related targets were predicted using TCMSP, SwissTargetPrediction and PharmMapper. T2DM-associated targets were collected from OMIM, DrugBank, DisGeNET, HPO, ClinPGx and GeneCards to obtain drug-disease intersection targets. Cytoscape was used to construct herb-compound-target and protein-protein interaction (PPI) networks, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Molecular docking was performed using AutoDock Vina1.1.2, and representative ligand-receptor complexes were further assessed by 100 ns molecular dynamics (MD) simulations and molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) binding free-energy analysis. Results: A total of 163 active compounds, 597 PRD-related targets, 9138 T2DM-associated targets and 483 intersection targets were identified. β-sitosterol, emodin, quercetin, kaempferol and formononetin were predicted as major active compounds, whereas AKT1, TP53, SRC, IL6, TNF, EGFR and ESR1 were identified as disease-related network hubs. KEGG enrichment highlighted the PI3K-Akt, MAPK, HIF-1, FoxO, mTOR, AGE-RAGE and TNF signalling pathways. Docking predicted a comparatively favourable multi-target binding tendency for β-sitosterol. MD and MM/PBSA analyses further suggested favourable dynamic stability for β-sitosterol-TNF, β-sitosterol-AKT1, β-sitosterol-SRC and emodin-EGFR complexes, with β-sitosterol-TNF showing the lowest predicted binding free energy among the simulated systems. Conclusions: These in silico findings suggest that PRD may regulate T2DM-related inflammatory, insulin-signalling, oxidative-stress and metabolic networks through coordinated multi-compound, multi-target and multi-pathway actions. β-sitosterol may represent an important candidate material basis of PRD, with TNF, AKT1, SRC and EGFR as potential key targets. These conclusions remain predictive and require validation in biochemical, cellular and animal experiments.