多囊卵巢
淫羊藿苷
内分泌学
内科学
戊酸雌二醇
候选基因
黄体
生物信息学
生物
卵巢
计算生物学
基因表达
基因剔除小鼠
基因
发情周期
组织蛋白酶D
基因表达谱
转录组
组织蛋白酶L
卵母细胞
自噬
雌激素
药理学
月经周期
医学
虚拟筛选
组织蛋白酶
高雄激素血症
化学
黄体期
作者
Meijun Pan,Jiahua Huang,Jing Yan,Jiahang Mo,Kaixuan Dong,Yani Ding,Gaochen Zhang,Weiwei Huang,Zexin Yang,Nan Wang,Hong Zhu,Hefeng Huang
标识
DOI:10.1016/j.bioorg.2026.110474
摘要
Polycystic Ovary Syndrome (PCOS) is a prevalent female reproductive and endocrine disorder. Effective and safe therapeutic strategies remain to be further explored. This study aimed to investigate the mechanisms of icariin (ICA) in PCOS. By executing weighted gene co-expression network analysis (WGCNA) across seven Gene Expression Omnibus (GEO) datasets and cross-referencing with ICA targets from five pharmacological databases, we identified 96 potential genes. An optimized machine learning framework evaluating 113 algorithm combinations and summary data-based Mendelian randomization (SMR) refined these to five candidate targets. Molecular docking and molecular dynamics simulations identified Cathepsin S (CTSS) as the primary target, demonstrating stable thermodynamic binding. In vivo, a dehydroepiandrosterone (DHEA)-induced PCOS mouse model was employed. ICA administration significantly reduced serum testosterone, restored regular estrous cycles, decreased cystic follicles, and increased corpora lutea. Concurrently, ICA treatment downregulated CTSS expression in ovarian granulosa cells. Furthermore, single-cell RNA-sequencing virtual knockout analysis predicted that CTSS ablation in distinct granulosa subpopulations might alters Wnt, NF-κB, and immune-related pathways. In conclusion, this integrated approach combining machine learning, animal experiments, and virtual knockout demonstrates that ICA improves PCOS by regulating CTSS in granulosa cells. These findings suggest that ICA is a potential therapeutic candidate for PCOS and offer new insights into its treatment.
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