XiaoLuoWan (XLW) is a classical formula in traditional Chinese medicine that has satisfactory therapeutic effects for uterine fibroids (UFs). However, its underlying mechanisms remain unclear. To elucidate the pharmacological actions of XLW in treating UFs, an ingredient-target-disease framework was proposed based on network pharmacology strategies. The active ingredients in XLW and their putative targets were obtained from the TCMSP and BATMAN-TCM platforms. The known therapeutic targets of UFs were acquired from the DigSee and DrugBank databases. Then, the links between putative XLW targets and therapeutic UF targets were identified to establish interaction networks by Cytoscape. Finally, GO enrichment and KEGG pathway analyses of overlapping gene targets were performed in the STRING database and visualized in R software. In total, 9 active compounds were obtained from 74 ingredients, with 71 curative targets predicted in XLW. Moreover, 321 known therapeutic targets were closely related to UFs, with 29 targets overlapping with XLW and considered interacting genes. Pathway enrichment revealed that the calcium signaling pathway was significantly enriched and the MAPK signaling pathway, cAMP signaling pathway, cancer and vascular smooth muscle contraction pathways, cGMP-PKG signaling pathway, and AGE-RAGE signaling pathway were closely associated with XLW intervention for UFs. In conclusion, the network pharmacology detection identified 9 available chemicals as the active ingredients in XLW that may relieve UFs by regulating 29 target genes involved in the calcium signaling pathway, MAPK pathway and cAMP pathway. Network pharmacology analyses may provide more convincing evidence for the investigation of classical TCM prescriptions, such as XLW.

中文翻译：

---

小罗湾活性成分及潜在靶点在子宫肌瘤中的应用网络药理评价。

小罗湾（XLW）是中药的经典配方，对子宫肌瘤（UFs）具有令人满意的治疗效果。但是，其基本机制仍不清楚。为了阐明XLW在治疗UF中的药理作用，基于网络药理策略，提出了一种成分-靶标-疾病框架。XLW中的活性成分及其推定的目标是从TCMSP和BATMAN-TCM平台获得的。UFs的已知治疗靶标来自DigSee和DrugBank数据库。然后，通过Cytoscape确定推定的XLW目标和治疗性UF目标之间的联系，以建立相互作用网络。最后，在STRING数据库中进行重叠基因靶点的GO富集和KEGG途径分析，并在R软件中可视化。总共，从74种成分中获得了9种活性化合物，其中XLW中预测了71种治疗目标。此外，321个已知的治疗靶标与超滤密切相关，其中29个靶标与XLW重叠并被认为是相互作用基因。途径富集表明，钙信号传导途径显着富集，并且MAPK信号传导途径，cAMP信号传导途径，癌症和血管平滑肌收缩途径，cGMP-PKG信号传导途径以及AGE-RAGE信号传导途径与XLW干预UFs密切相关。总之，网络药理学检测确定了9种有效化学物质作为XLW中的活性成分，可以通过调节钙信号途径，MAPK途径和cAMP途径中涉及的29个靶基因来缓解超滤作用。