Thermodynamics and Kinetics of Glycolytic Reactions. Part I: Kinetic Modeling Based on Irreversible Thermodynamics and Validation by Calorimetry

Indole-3-Carbinol Stabilizes p53 to Induce miR-34a, Which Targets LDHA to Block Aerobic Glycolysis in Liver Cancer Cells

Certain cancer cells prefer aerobic glycolysis rather than oxidative phosphorylation for energy supply. Lactate dehydrogenase A (LDHA) catalyzes the reduction of pyruvate to lactate and regains NAD+ so that glycolysis is continued. As a pivotal enzyme to promote smooth glycolysis, LDHA plays an important role in carcinogenesis. Indole-3-carbinol (I3C) has displayed antitumor activity, but the exact mechanism remains to be identified. In this study, we treated liver cancer cells with I3C, performed colony formation and cell migration, measured the expression of glycolysis-related proteins, and predicted and validated LDHA-targeting miRNA from the databases. In addition, the mRNA and protein levels of p53, glycolysis-related genes and miRNAs that regulate glycolysis were detected after I3C and siRNA-p53 treatment alone or in combination. Next, the expression and colocalization of p53 and MDM2 in liver cancer cells were evaluated after I3C treatment, and the effect of I3C on p53 protein stability was examined. The results showed that I3C inhibited cell proliferation, migration, and the expression levels of glycolysis-related gene LDHAs. MiR-34a was predicted to target LDHA, and I3C downregulated its expression. Furthermore, the combined I3C and siRNA-p53 treatment demonstrated that I3C regulated the expression of LDHA via miR-34a in a p53-dependent manner. Finally, I3C inhibited MDM2 expression and its colocalization with p53 and stabilized p53 expression. In summary, I3C inhibited the degradation of p53 by MDM2 in liver cancer cells; stable p53 induced miR-34a, which targeted LDHA, a key enzyme for aerobic glycolysis, suggesting cancer metabolism is an important target for I3C in liver cancer cells.

Runge–Kutta analysis for optimizing the Zn-catalyzed transesterification conditions of MA and MMA with diols to maximize monoesterified products

Terminal hydroxylated acrylate derivatives were prepared by transesterification using zinc catalyst. The time to reach the equilibrium state was analyzed by curve-fitting analysis based on the Runge–Kutta method for optimizing the best conditions.

Thermodynamics and Kinetics of Glycolytic Reactions. Part II: Influence of Cytosolic Conditions on Thermodynamic State Variables and Kinetic Parameters

For systems biology, it is important to describe the kinetic and thermodynamic properties of enzyme-catalyzed reactions and reaction cascades quantitatively under conditions prevailing in the cytoplasm. While in part I kinetic models based on irreversible thermodynamics were tested, here in part II, the influence of the presumably most important cytosolic factors was investigated using two glycolytic reactions (i.e., the phosphoglucose isomerase reaction (PGI) with a uni-uni-mechanism and the enolase reaction with an uni-bi-mechanism) as examples. Crowding by macromolecules was simulated using polyethylene glycol (PEG) and bovine serum albumin (BSA). The reactions were monitored calorimetrically and the equilibrium concentrations were evaluated using the equation of state ePC-SAFT. The pH and the crowding agents had the greatest influence on the reaction enthalpy change. Two kinetic models based on irreversible thermodynamics (i.e., single parameter flux-force and two-parameter Noor model) were applied to investigate the influence of cytosolic conditions. The flux-force model describes the influence of cytosolic conditions on reaction kinetics best. Concentrations of magnesium ions and crowding agents had the greatest influence, while temperature and pH-value had a medium influence on the kinetic parameters. With this contribution, we show that the interplay of thermodynamic modeling and calorimetric process monitoring allows a fast and reliable quantification of the influence of cytosolic conditions on kinetic and thermodynamic parameters.