Ginsenoside compound K induces ferroptosis via the FOXO pathway in liver cancer cells.

Liver cancer is a common malignant tumor worldwide, traditional Chinese medicine is one of the treatment measures for liver cancer because of its good anti-tumor effects and fewer toxic side effects. Ginsenoside CK (CK) is an active component of ginseng. This study explored the mechanism by which CK induced ferroptosis in liver cancer cells. We found that CK inhibited the proliferation of HepG2 and SK-Hep-1 cells, induced ferroptosis of cells. Ferrostatin-1, an ferroptosis inhibitor, was used to verify the role of CK in inducing ferroptosis of liver cancer cells. Network pharmacological analysis identified the FOXO pathway as a potential mechanism of CK, and western blot showed that CK inhibited p-FOXO1. In cells treated with the FOXO1 inhibitor AS1842856, further verify the involvement of the FOXO pathway in regulating CK-induced ferroptosis in HepG2 and SK-Hep-1 cells. A HepG2 cell-transplanted tumor model was established in nude mice, and CK inhibited the growth of transplanted tumors in nude mice, p-FOXO1 was decreased in tumor tissues, and SLC7A11 and GPX4 expressions were also down-regulated after CK treatment. These findings suggested that CK induces ferroptosis in liver cancer cells by inhibiting FOXO1 phosphorylation and activating the FOXO signaling pathway, thus playing an antitumor role.

Curcumin induces mitochondrial apoptosis in human hepatoma cells through BCLAF1-mediated modulation of PI3K/AKT/GSK-3ß signaling.

Curcumin is a yellow pigment extracted from the rhizome of turmeric, a traditional Chinese medicine. Here, we tested the hypothesis that curcumin-mediated downregulation of BCLAF1 triggers mitochondrial apoptosis in hepatoma cells by inhibiting PI3K/AKT/GSK-3ß signaling. Treatment of the human hepatoma cell lines, HepG2 and SK-Hep-1, with various concentrations of curcumin revealed a time-dependent and concentration-dependent inhibition of cell proliferation, increased apoptosis, cell cycle arrest at the G0/G1 phase, reduced mitochondrial membrane potential, and reduced expression levels of PI3K, p-PI3K, AKT, p-AKT, GSK-3ß, and p-GSK-3ß. Additionally, curcumin suppressed the levels of apoptotic factors after treating the cells with LY294002, a PI3K inhibitor. Curcumin also suppressed the expression of BCLAF1. Treating stable BCLAF1 knockout HepG2 and SK-Hep-1 cells with curcumin further enhanced apoptosis and increased the number of cells in G0/G1 cell cycle arrest, while inhibiting the downregulation of PI3K/AKT/GSK-3ß pathway-related proteins. Treatment of a nude mouse xenograft model bearing HepG2 cells with curcumin inhibited tumor growth, disrupted the cellular structure of the tumor tissue, and suppressed the expression of BCLAF1 and PI3K/AKT/GSK-3ß proteins. In summary, our in vitro and in vivo analyses show that curcumin downregulates BCLAF1 expression, inhibits the activation of the PI3K/AKT/GSK-3ß pathway, and triggers mitochondrial apoptosis in HCC. These findings uncover a potential therapeutic strategy leveraging the antitumor effects of curcumin against HCC.

Predicting the Risk of Microtia From Prenatal Factors: A Hospital-Based Case-Control Study.

Background: Although a wide range of risk factors for microtia were identified, the limitation of these studies, however, is that risk factors were not estimated in comparison with one another or from different domains. Our study aimed to uncover which factors should be prioritized for the prevention and intervention of non-syndromic microtia via tranditonal and meachine-learning statistical methods. Methods: 293 pairs of 1:1 matched non-syndromic microtia cases and controls who visited Shanghai Ninth People's Hospital were enrolled in the current study during 2017-2019. Thirty-nine risk factors across four domains were measured (i.e., parental sociodemographic characteristics, maternal pregnancy history, parental health conditions and lifestyles, and parental environmental and occupational exposures). Lasso regression model and multivariate conditional logistic regression model were performed to identify the leading predictors of microtia across the four domains. The area under the curve (AUC) was used to calculate the predictive probabilities. Results: Eight predictors were identified by the lasso regression, including abnormal pregnancy history, genital system infection, teratogenic drugs usage, folic acid supplementation, paternal chronic conditions history, parental exposure to indoor decoration, paternal occupational exposure to noise and maternal acute respiratory infection. The additional predictors identified by the multivariate conditional logistic regression model were maternal age and maternal occupational exposure to heavy metal. Predictors selected from the conditional logistic regression and lasso regression both yielded AUCs (95% CIs) of 0.83 (0.79-0.86). Conclusion: The findings from this study suggest some factors across multiple domains are key drivers of non-syndromic microtia regardless of the applied statistical methods. These factors could be used to generate hypotheses for further observational and clinical studies on microtia and guide the prevention and intervention strategies for microtia.