Network Pharmacology and Experimental Validation to Explore the Effect and Mechanism of Kanglaite Injection Against Triple-Negative Breast Cancer.

Purpose: Kanglaite injection (KLTi), made of Coix seed oil, has been shown to be effective in the treatment of numerous cancers. However, the anticancer mechanism requires further exploration. This study aimed to investigate the underlying anticancer mechanisms of KLTi in triple-negative breast cancer (TNBC) cells. Methods: Public databases were searched for active compounds in KLTi, their potential targets and TNBC-related targets. KLTi's core targets and signaling pathways were determined through compound-target network, protein-protein interaction (PPI) network, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Molecular docking was carried out to predict the binding activity between active ingredients and key targets. In vitro experiments were conducted to further validate the predictions of network pharmacology. Results: Fourteen active components of KLTi were screened from the database. Fifty-three candidate therapeutic targets were selected, and bioinformatics analysis was performed to identify the top two active compounds and three core targets. GO and KEGG enrichment analyses indicated that KLTi exerts therapeutic effects on TNBC through the cell cycle pathway. Molecular docking results showed that the main compounds of KLTi exhibited good binding activity to key target proteins. Results from in vitro experiments showed that KLTi inhibited proliferation and migration of TNBC cell lines 231 and 468, induced apoptosis, blocked cells in the G2/M phase, downregulated the mRNA expression of seven G2/M phase-related genes cyclin-dependent kinase 1 (CDK1), cyclin-dependent kinase 2 (CDK2), and checkpoint kinase 1 (CHEK1), cell division cycle 25A (CDC25A), cell division cycle 25B (CDC25B), maternal embryonic leucine zipper kinase (MELK), and aurora kinase A (AURKA), as well as downregulated CDK1 protein expression and up-regulated protein expression of Phospho-CDK1. Conclusion: By utilizing network pharmacology, molecular docking, and in vitro experiments, KLTi was confirmed to have anti-TNBC effects by arresting cell cycle and inhibiting CDK1 dephosphorylation.

Effects of Yulin Tong Bu formula on modulating gut microbiota and fecal metabolite interactions in mice with polycystic ovary syndrome.

Background: Polycystic ovarian syndrome (PCOS) is a common endocrine disorder characterized by hyperandrogenism, ovarian dysfunction and polycystic ovarian morphology. Gut microbiota dysbiosis and metabolite are associated with PCOS clinical parameters. Yulin Tong Bu formula (YLTB), a traditional Chinese medicine formula, has been recently indicated to be capable of ameliorating polycystic ovary symptoms and correcting abnormal glucose metabolism. However, the therapeutic mechanism of YLTB on PCOS has not been fully elucidated. Methods: A pseudo sterile mouse model was established during this four-day acclimatization phase by giving the animals an antibiotic cocktail to remove the gut microbiota. Here, the therapeutic effects of YLTB on PCOS were investigated using dehydroepiandrosterone plus high-fat diet-induced PCOS mice model. Female prepuberal mice were randomly divided into three groups; namely, the control group, PCOS group and YLTB (38.68 g·kg-1·day-1) group. To test whether this effect is associated with the gut microbiota, we performed 16S rRNA sequencing studies to analyze the fecal microbiota of mice. The relationships among metabolites, gut microbiota, and PCOS phenotypes were further explored by using Spearman correlation analysis. Then, the effect of metabolite ferulic acid was then validated in PCOS mice. Results: Our results showed that YLTB treatment ameliorated PCOS features (ovarian dysfunction, delayed glucose clearance, decreased insulin sensitivity, deregulation of glucolipid metabolism and hormones, etc.) and significantly attenuated PCOS gut microbiota dysbiosis. Spearman correlation analysis showed that metabolites such as ferulic acid and folic acid are negatively correlated with PCOS clinical parameters. The effect of ferulic acid was similar to that of YLTB. In addition, the bacterial species such as Bacteroides dorei and Bacteroides fragilis were found to be positively related to PCOS clinical parameters, using the association study analysis. Conclusion: These results suggest that YLTB treatment systematically regulates the interaction between the gut microbiota and the associated metabolites to ameliorate PCOS, providing a solid theoretical basis for further validation of YLTB effect on human PCOS trials.

The mental health of Chinese women with polycystic ovary syndrome is related to sleep disorders, not disease status.

BACKGROUND: Mental health disorders are highly prevalent in polycystic ovary syndrome (PCOS) cases. The etiology for anxiety/depression in women with PCOS still remains unclear, due to conflicting results. AIM: To examine whether an association exists between the mental health of Chinese women with PCOS and various indicators such as their disease characteristics, biochemistry results and sleep status. METHODS: During July 2018 and January 2020, our study included a total of 433 women diagnosed with PCOS at Chongqing Hospital of Traditional Chinese Medicine. Sleep-related variables were evaluated by the Pittsburgh Sleep Quality Index (PSQI), anxiety and depression values were quantified by the Hospital Anxiety and Depression Scale (HADS), and biochemistry results were collected from the medical records of the patients. RESULTS: 26.6% patients resulted as positive anxiety and 23.6% as positive depression. We found significant associations between anxiety/depression status and sleep conditions of PCOS patients. More specifically, anxiety significantly associated with sleep quality OR (95%CI) = 1.611 (1.147-2.261), sleep disturbance 2.326 (1.468-3.685) and daytime dysfunction 1.457 (1.122-1.891). Similarly, depression significantly associated with sleep quality 1.467 (1.043-2.063), sleep disturbance 1.624 (1.030-2.561) and daytime dysfunction 1.406 (1.077-1.836). There was no association detected between mental health and disease characteristics, as well as reproductive and metabolic indicators in PCOS. LIMITATION: Cross-sectional nature of the data prevents causal associations, selection bias of a hospital-based population. CONCLUSIONS: Sleep-related disorders might be involved in the etiology and development of the anxiety/depression observed in PCOS cases. We propose that management of sleep disorders should be an integral part of the disease management of women with PCOS.