ArticleMedicine2026
Exploring the mechanisms of luteolin in treating polycystic ovary syndrome and endometriosis via network pharmacology, molecular docking, and molecular dynamics simulation.
Article in Medicine, 2026. 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.
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Authors and funding
7 authors.
Funding
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Abstract
This study aims to elucidate the molecular mechanisms underlying luteolin's therapeutic effects on polycystic ovary syndrome (PCOS) and endometriosis (EM), thereby providing a theoretical foundation for developing novel treatment strategies. An integrated approach combining network pharmacology, molecular docking, and molecular dynamics simulation was employed. Potential targets of luteolin intersecting with PCOS/EM pathogenesis were identified through database mining, followed by the construction of a protein-protein interaction network to screen hub genes. Mechanistic insights were further explored through bioinformatics validation, gene enrichment analysis, molecular docking verification, and molecular dynamics simulations. Luteolin exerted synergistic therapeutic effects through core targets such as ESR1, MMP9, and ERBB2, mediated by triple pathways involving "nuclear receptor modulation-proliferation inhibition-metabolic improvement." Molecular docking and dynamics simulations confirmed its high binding stability and low binding free energy with key targets (e.g., ESR1, MMP9, and ERBB2). Additionally, the identification of shared risk genes between PCOS and EM offers novel targets for cross-disease interventions. Luteolin demonstrates significant potential in treating PCOS and EM through multi-target and multi-pathway mechanisms, aligning with the complex pathological networks characteristic of reproductive endocrine disorders. These findings provide a scientific rationale for its clinical translation.
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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 Socratic graph.