Decreased plasma miR-140-3p is associated with coronary artery disease.

Background: Although many circulating miRNAs (c-miRNAs) are associated with coronary artery disease (CAD), they are far from being the biomarker for CAD diagnosis or risk prediction. Therefore, novel c-miRNAs discovery and validation are still required, especially evaluating their prediction capacity. Objectives: Identify novel CAD-related c-miRNAs and evaluate its risk prediction capacity for CAD. Methods: miRNAs associated with CAD were preliminarily investigated in three paired samples representing pre-CAD stage and CAD stage of three female individuals using the Applied Biosystems miRNA TaqMan® Low-Density Array (TLDA). Then, the candidate miRNAs were further verified in an independent case-control study including 129 CAD patients and 76 controls, and their potential practical value in prediction for CAD was evaluated using a machine learning (ML) algorithm. The accuracy of classification and prediction was assessed with the area under the receiver operating characteristic curve (AUC). Results: TLDA analysis shows that miR-140-3p decreased significantly in CAD-stage (FC = -3.01, P = 0.007). Further study shows that miR-140-3p was significantly lower in CAD group [1.26 (0.68, 2.01)] than in control group [2.07 (1.19, 3.21)] (P < 0.001) and independently associated with CAD (P < 0.001). The addition of miR-140-3p to the variables including smoking history, HDL-c, and APOA1 improved the accuracy of classification by logistic regression and of prediction for CAD by ML models. The ML models built with miR-140-3p and HDL-c, respectively, had a similar prediction accuracy. The feature importance of miR-140-3p and HDL-c in the ML models was also similar. Decision curve analysis showed that miR-140-3p and HDL-c had almost identical net benefits. Conclusion: Reduced levels of miR-140-3p is linked to CAD, and it is possible to use the plasma level of miR-140-3p as a means of evaluating the risk of CAD.

NF-κB/Twist axis is involved in chysin inhibition of ovarian cancer stem cell features induced by co-treatment of TNF-α and TGF-ß.

Chrysin (ChR) inhibits various cancer cells and possesses anti-inflammatory activities. NF-kB has been shown to regulate the expression of genes involved in epithelial-mesenchymal transformation (EMT) by upregulation of TWIST1. This study aimed to assess whether ChR can inhibit EMT phenotype and cancer stem-like cell (CSLC) features in ovarian cancer cells co-treated with TNF-α and TGF-ß. Here, OVCAR-3 cells were co-treated with TNF-α and TGF-ß in the presence or absence of ChR. Then, the expression levels of E-cadherin, N-cadherin, CD133, CD44, NF-κBp65, and TWIST1 were analyzed by western blotting. Wound healing and tumor sphere formation assays were performed to assess the migration and sphere-forming capabilities of cells, respectively. Overexpression and/or knockdown of NF-κBp65 and/or TWIST1 were used to explore the molecular mechanisms. We showed that ChR inhibited EMT and CSLC properties in ovarian cancer cells administered TNF-α after prolonged TGF-ß treatment, in a dose-dependent manner. Also, knockdown of NF-κBp65 and ChR cooperatively enhanced the inhibition of NF-κBp65 and TWIST1 expression, EMT phenotype, and CSLC properties. Conversely, overexpression of NF-κBp65 antagonized the above-mentioned activities of ChR. Furthermore, TWIST1 silencing or overexpression did not affect the ChR treatment effect on NF-κBp65 levels, but it reduced or enhanced EMT and CSLC properties. In conclusion, ChR can inhibit a proinflammatory cytokine to induce EMT and CSLC characteristics in OVCAR-3 cells, which may be involved in blocking the NF-κB/Twist axis.