<p>While active ingredients from compound Chinese herbal medicines (CCHMs) have demonstrated potential in alleviating symptoms of polycystic ovary syndrome (PCOS), their mechanisms of action remain insufficiently understood. This study aimed to identify key active ingredients and gene targets in Xiaochaihu Decoction, Sijunzi Decoction, and Shensiwei that contribute to their efficacy against PCOS. Transcriptomic data of PCOS were obtained from public databases. Information on gut microbiota metabolite-related targets and active ingredients of CCHMs was retrieved from relevant databases. Key gene targets and active ingredients were identified using Graph-based Bioactive Network Analysis (GraphBAN) and toxicological assessments. Molecular docking and dynamic simulations were conducted to validate interactions. Functional enrichment and regulatory network analysis were performed. LCT, FADS1, and CYP11A1 were identified as key genes associated with α-β T cell activation, immune receptor signaling, and adaptive immune responses. LCT and FADS1 were targeted by linolenic acid, while CYP11A1 was regulated by mandenol, EIC, and linolenic acid. Three microRNAs (hsa-miR-320a-3p, hsa-miR-4487, hsa-miR-6090) co-regulated these genes. Molecular docking and dynamics simulations confirmed stable binding between key genes and active ingredients, with binding energies &lt; −5.0 kcal/mol. The findings indicate that CCHMs exert therapeutic effects on PCOS by multi-target regulation of key genes involved in androgen synthesis, metabolic regulation, and immune-inflammatory activation. The observed strong binding affinities provide a structural basis for these interactions. This study identified three key genes and three core active ingredients in CCHMs for PCOS treatment, laying a theoretical foundation for developing multi-target therapeutics.</p> Graphical Abstract <p></p>

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GraphBAN-based identification of active ingredients and key gene targets in compound Chinese herbal medicines for polycystic ovary syndrome

  • Shiyang Wei,
  • Ting Qin,
  • Ying Li,
  • Daguo Zhang,
  • Limin Liu,
  • Liying Wei,
  • Renfeng Zhao

摘要

While active ingredients from compound Chinese herbal medicines (CCHMs) have demonstrated potential in alleviating symptoms of polycystic ovary syndrome (PCOS), their mechanisms of action remain insufficiently understood. This study aimed to identify key active ingredients and gene targets in Xiaochaihu Decoction, Sijunzi Decoction, and Shensiwei that contribute to their efficacy against PCOS. Transcriptomic data of PCOS were obtained from public databases. Information on gut microbiota metabolite-related targets and active ingredients of CCHMs was retrieved from relevant databases. Key gene targets and active ingredients were identified using Graph-based Bioactive Network Analysis (GraphBAN) and toxicological assessments. Molecular docking and dynamic simulations were conducted to validate interactions. Functional enrichment and regulatory network analysis were performed. LCT, FADS1, and CYP11A1 were identified as key genes associated with α-β T cell activation, immune receptor signaling, and adaptive immune responses. LCT and FADS1 were targeted by linolenic acid, while CYP11A1 was regulated by mandenol, EIC, and linolenic acid. Three microRNAs (hsa-miR-320a-3p, hsa-miR-4487, hsa-miR-6090) co-regulated these genes. Molecular docking and dynamics simulations confirmed stable binding between key genes and active ingredients, with binding energies < −5.0 kcal/mol. The findings indicate that CCHMs exert therapeutic effects on PCOS by multi-target regulation of key genes involved in androgen synthesis, metabolic regulation, and immune-inflammatory activation. The observed strong binding affinities provide a structural basis for these interactions. This study identified three key genes and three core active ingredients in CCHMs for PCOS treatment, laying a theoretical foundation for developing multi-target therapeutics.

Graphical Abstract