The compound fuling granule (CFG) is a traditional Chinese drug which has been used to treat ovarian cancer in China for over twenty years. Nevertheless, the underlying molecular mechanism of its anti-cancer effect remains unclear. In this study, microarray data analysis was performed to search differentially expressed genes in CFG-treated ovarian cancer cells. Several cell cycle and epithelial-mesenchymal transition (EMT) related genes were identified. The microarray analyses also revealed that CFG potentially regulates EMT in ovarian cancer. We also found that, functionally, CFG significantly suppresses ovarian cancer cell proliferation by cell cycle arrest, apoptosis and senescence and the AKT/GSK-3β pathway is possibly involved. Additionally, the invasion and migration ability of ovarian cancer induced by TGFβ is significantly suppressed by CFG. In conclusion, our results demonstrated that CFG suppresses ovarian cancer cell proliferation as well as TGFβ1-induced EMT in vitro. Finally, we discovered that CFG suppresses tumor growth and distant metastasis in vivo. Overall, these findings provide helpful clues to design novel clinical treatments against cancer.

Our previous studies have demonstrated that the compound fuling granule (CFG), a traditional Chinese medicine, suppresses ovarian cancer cell growth, migration and metastasis. However, the underlying mechanisms remain to be fully elucidated. In this study, we found that CFG could induce mitochondrial fragmentation, mitochondrial membrane potential reduction and cytochrome c release in ovarian SKOV3 cancer cells. In addition, both metabolomics and transcriptomics approaches were applied to illustrate the systemic mechanism of CFG on ovarian cancer formation and progression. To this end, we established two tumor-bearing mice models with subcutaneous injection or tail intravenous injection. Functionally, administration of CFG suppresses in situ tumor growth and distant lung metastasis. Subsequently, gas chromatography-mass spectrometry (GC-MS) was applied to determine the metabolic alterations among the plasma samples from these in vivo models. In the subcutaneous injection model, 26 distinguishable metabolites were identified and 12 metabolic pathways were reprogrammed. Meanwhile, 19 metabolites involved in 7 metabolic pathways showed significant differences in the tail intravenous injection model. Importantly, integrative metabolomics and transcriptomics analysis showed these metabolites were highly associated with galactose metabolism and fatty acid metabolism. This study suggests that CFG may suppress ovarian cancer cell proliferation and metastasis by regulating mitochondrion-related energy metabolisms.

Premature Ovarian Insufficiency (POI) refers to the failure of ovarian function in women before the age of 40. Although the etiology of most cases remains unclear, accumulating evidence indicates that chronic inflammation plays a key role in the occurrence and development of POI. Patients with POI often exhibit phenomena such as imbalance of pro-inflammatory cytokines, abnormalities in the local ovarian immune microenvironment, and autoimmune ovarian inflammation. Inflammation may accelerate ovarian function decline through mechanisms such as inducing follicular cell apoptosis, follicular atresia, and tissue fibrosis. Several studies have shown that anti-inflammatory interventions, such as immunosuppressants, can modulate ovarian inflammation and thereby improve ovarian function. Given the potentially central role of inflammation in POI, this review focuses on the interplay between inflammation and POI. We first delineate the mechanisms by which inflammation drives POI, cataloguing the autoimmune diseases and inflammation-related biomarkers implicated in its pathogenesis. Subsequently, we summarize recent findings from multiple POI animal models (natural aging, chemotherapy-induced, autoimmune, genetic) and highlight emerging therapeutic strategies that target inflammatory pathways. Given the pronounced etiological heterogeneity of POI, not all patients exhibit a distinctly enhanced inflammatory profile. Consequently, targeted anti-inflammatory interventions have yet to be routinely adopted in clinical practice, and their broad efficacy in reversing ovarian dysfunction requires robust validation in prospective human trials. Nevertheless, as the multifaceted role of inflammation-whether as a primary driver or a secondary consequence-becomes clearer, mechanistically targeted immunomodulation may offer promising new avenues for POI management.

Background. Compound fuling granule (CFG) is a traditional Chinese medicine formula that is used for more than twenty years to treat ovarian cancer (OC) in China. However, the underlying processes have yet to be completely understood. This research is aimed at uncovering its molecular mechanism and identifying possible therapeutic targets. Methods. Significant genes were collected from Therapeutic Target Database and Database of Gene‐Disease Associations. The components of CFG were analyzed by LC‐MS/MS, and the active components of CFG were screened according to their oral bioavailability and drug‐likeness index. The validated targets were extracted from PharmMapper and PubChem databases. Venn diagram and STRING website diagrams were used to identify intersection targets, and a protein–protein interaction network was prepared using STRING. The ingredient‐target network was established using Cytoscape. Molecular docking was performed to visualize the molecule–protein interactions using PyMOL 2.3. Enrichment and pathway analyses were performed using FunRich software and Reactome pathway, respectively. Experimental validations, including CCK‐8 assay, wound‐scratch assay, flow cytometry, western blot assay, histopathological examination, and immunohistochemistry, were conducted to verify the effects of CFG on OC cells. Results. A total of 56 bioactive ingredients of CFG and 185 CFG‐OC‐related targets were screened by network pharmacology analysis. The potential therapeutic targets included moesin, glutathione S‐transferase kappa 1, ribonuclease III (DICER1), mucin1 (MUC1), cyclin‐dependent kinase 2 (CDK2), E1A binding protein p300, and transcription activator BRG1. Reactome analysis showed 51 signaling pathways (P < 0.05), and FunRich revealed 44 signaling pathways that might play an important role in CFG against OC. Molecular docking of CDK2 and five active compounds (baicalin, ignavine, lactiflorin, neokadsuranic acid B, and deoxyaconitine) showed that baicalin had the highest affinity to CDK2. Experimental approaches confirmed that CFG could apparently inhibit OC cell proliferation and migration in vitro; increase apoptosis; decrease the protein expression of MUC1, DICER1, and CDK2; and suppress the progression and distant metastasis of OC in vivo. DICER1, a tumor suppressor, is essential for microRNA synthesis. Our findings suggest that CFG may impair the production of miRNAs in OC cells. Conclusion. Based on network pharmacology, molecular docking, and experimental validation, the potential mechanism underlying the function of CFG in OC was explored, which supplies the theoretical groundwork for additional pharmacological investigation.