Integrated pharmacoanalysis, bioinformatics analysis, and experimental validation to identify the ingredients and mechanisms of Xiao-Luo-Wan in uterine fibroids treatment
Xiao-Luo-Wan (XLW), a classical prescription in traditional Chinese medicine, has therapeutic effects on uterine fibroids (UFs). Herein, its anti-UF effects were examined using a systematic pharmacological method. To explore the active ingredients of XLW <i>via</i> mass spectrometry and its potential effects on UFs by network pharmacology, molecular docking, and experimental validation. A mass spectrometer was used to scrutinize the composition of the XLW drug-containing serum. The critical targets and potential mechanisms of XLW against UFs were predicted by network pharmacology and molecular docking. Next, human uterine leiomyoma cells (UMCs) were treated with 20%, 30%, or 40% XLW serum for 24 h, 48 h or 72 h. Cell viability was analyzed <i>via</i> a CCK-8 assay, and cell apoptosis and the cell cycle were examined <i>via</i> flow cytometry. The predicted targets were further identified by RT–PCR and western blotting. There were 16 chemical components identified in XLW drug-containing serum, with 53 target genes predicated in the treatment of UFs. The molecular binding of core targets, including TRIM9, NF-κB and p38MAPK, was relatively stable to components, especially buergerinin B, cedrol and ent-15B-16-epoxy- kauan-17-ol. The <i>in vitro</i> experiments revealed that the IC<sub>50</sub> of XLW in UMCs was 63.21%, and the anti-UF effects of XLW may be closely associated with targets that inhibit cell proliferation and promote cell apoptosis by regulating TRIM9, NF-κB and p38MAPK expression. The integration of mass spectrometry, network pharmacology, molecular docking and biological experiments revealed the key constituents of XLW and its pharmacological mechanism in UFs, which may help in the discovery of therapeutic agents for treating UFs.
Publication Details
- Journal
- Figshare
- Published
- 2025-01-01
- DOI
- https://doi.org/10.6084/m9.figshare.29040027
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00