Abstract

Introduction: Polycystic ovary syndrome (PCOS) is a common endocrine disease that is characterized by chronic inflammation. Baishao (radix paeoniae alba, RPA), classified as a top-grade herbal medicine in TCM, has anti-inflammatory, immune adjustment, and anti-oxidative activities. RPA has been used to treat PCOS in clinical practice, but its potential mechanism of action is unclear. This study aimed at exploring the potential mechanism of RPA in PCOS treatment and to investigate the anti-inflammatory constituents of RPA. Methods: The TCMSP database was used to screen the potential active compounds of RPA. On the other hand, the possible target genes of PCOS were collected from the TTD, DrugBank, GeneCard, OMIM, and PharmGKB databases. The PPI network of RPA–PCOS target genes was established by STRING, and the visual network among RPA, ingredients, disease and potential target genes was constructed in Cytoscape. The bioactivity and potential mechanism of RPA in PCOS treatment were analyzed by GO and KEGG enrichment approaches. Furthermore, molecular docking was utilized to indicate the best compounds of RPA binding with TNF-α. Results: Fifty-four potential target genes were filtered and gathered from RPA and PCOS. Visual network indicated that 8 ingredients in RPA, β-sitosterol, ( + )-catechin, palbinone, sitosterol, mairin, kaempferol, paeoniflorigenone, and paeoniflorin, were closely correlated with 54 possible therapeutic target genes. The possible pathways relating the treatment of PCOS by RPA mainly contained the TNF, lipid atherosclerosis, C-type lectin receptor, and AGE-RAGE signal pathways. Paeoniflorigenone was the optimal anti-inflammatory compound of RPA to bind with TNF-α in molecular docking analysis. Conclusion: This study manifested that the most effective anti-inflammation compound of RPA was paeoniflorigenone and provided a potential therapeutic strategy for PCOS treatment.

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