基于反向网络药理和生物信息学的方法,探索治疗多囊卵巢综合征相关不孕症的药物模式
Yueyan Wang1, Fan Jia2, Jing Hu3
1Department of Reproductive Medicine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, China.
Frontiers in medicine
|November 21, 2025
概括
这项研究使用计算方法确定了治疗多囊卵巢综合征 (PCOS) 相关不孕症的核心草药组合. 这些发现为PCOS不孕症提供了新的治疗策略.
科学领域:
- 计算生物学 计算生物学
- 药理学 药理学是指药理学的学科.
- 草药是一种草药.
背景情况:
- 多囊卵巢综合征 (PCOS) 是一种常见的内分泌疾病,与不孕症有关.
- 现有的PCOS相关不孕症治疗方法存在局限性,需要新的治疗方法.
研究的目的:
- 使用in silico反向网络药理学预测PCOS相关不孕症的潜在草药.
- 确定核心草药候选者并阐明它们的治疗机制.
主要方法:
- 从公共数据库中收集了PCOS和不孕症目标.
- 确定了常见的目标,检索了活性化合物,并将它们映射到草药中.
- 构建了一个目标-化合物-草药网络,并对草药特性进行统计分析.
- 使用基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 进行丰富分析.
主要成果:
- 确定了2500个常见的目标,1545种活性化合物和488种草药.
- 一个核心的草药组合包括Ephedra sinica,Magnolia officinalis,Bupleurum chinense,Chrysanthemum morifolium,Angelica dahurica和Morus alba被确定.
- 丰富分析揭示了与氧化应激,炎症和内分泌调节相关的机制,包括TNF和PI3K-Akt信号通路.
结论:
- 通过反向网络药理学成功预测了PCOS相关不孕症的核心草药组合.
- 这些发现为开发新的治疗策略和未来的PCOS不孕症临床管理提供了基础.
- 建议进行实验验证,以确认已识别的草药组合的疗效.
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