Metformin May Alter the Metabolic Reprogramming in Cancer Cells by Disrupting the L-Arginine Metabolism: A Preliminary Computational Study

Metabolic reprogramming in cancer is considered to be one of the most important hallmarks to drive proliferation, angiogenesis, and invasion. AMP-activated protein kinase activation is one of the established mechanisms for metformin’s anti-cancer actions. However, it has been suggested that metformin may exert antitumoral effects by the modulation of other master regulators of cellular energy. Here, based on structural and physicochemical criteria, we tested the hypothesis that metformin may act as an antagonist of L-arginine metabolism and other related metabolic pathways. First, we created a database containing different L-arginine-related metabolites and biguanides. After that, comparisons of structural and physicochemical properties were performed employing different cheminformatic tools. Finally, we performed molecular docking simulations using AutoDock 4.2 to compare the affinities and binding modes of biguanides and L-arginine-related metabolites against their corresponding targets. Our results showed that biguanides, especially metformin and buformin, exhibited a moderate-to-high similarity to the metabolites belonging to the urea cycle, polyamine metabolism, and creatine biosynthesis. The predicted affinities and binding modes for biguanides displayed good concordance with those obtained for some L-arginine-related metabolites, including L-arginine and creatine. In conclusion, metabolic reprogramming in cancer cells by metformin and biguanides may be also driven by metabolic disruption of L-arginine and structurally related compounds.

Antidiabetic Drugs and their Potential Use in COVID-19: A Mechanistic Approach

Many therapies have been developed against COVID-19 since it first appeared in December 2019. Antivirals, antimalarials, cephalosporins, colchicine, anticoagulants, and corticosteroids, among others, have been evaluated as protecting agents against antibacterial complications due to their anti-inflammatory and immunomodulatory effects against thrombosis and cell death caused by infection with SARS-CoV-2. Nevertheless, the overall balance in their application has not been found to be satisfactory. On the other hand, developing and applying several vaccines against this virus have marked an important watershed in preventive and prophylactic medicine in the new millennium. However, given the regular efficacy reported of some of them, the still scarce affordability, and the emergency of new strains for which no drug has been evaluated, the search for new pharmacological therapy alternatives still represents an essential component in the clinical management of COVID-19, and the rapid identification of drugs with potential antiviral and/or immunomodulatory properties is needed. In the present review, a potential therapeutic effect of metformin and other antidiabetic therapies for the management of COVID-19 are proposed and discussed from the viewpoint of their in vitro and in vivo immunomodulatory effects. Given that acute inflammation is an important component of COVID-19, antidiabetic therapies could be promising alternatives in its management and reducing the disease's severity. In order to understand how metformin and other antidiabetic therapies could work in the context of COVID-19, here we review the possible mechanisms of action through a detailed description of cellular and molecular events.

Comparative Anticancer Activity and Molecular Docking of Different Isatin-Based Scaffolds

BACKGROUND/AIM

To identify the best of three isatin-based scaffolds in terms of anticancer activity.

MATERIALS AND METHODS

Synthesis of isatin-based scaffolds was performed through a reaction to form Schiff bases. In silico analyses consisted of a target prediction with the Swiss Target Prediction tool and a molecular docking by AutoDock Vina. Anticancer activity and cytotoxicity were determined using the WST1 viability assay.

RESULTS

Three scaffolds (IA, IB, and IC) were synthesized and confirmed with good reaction yields. The Swiss Target Prediction tool showed a trend towards kinases. Molecular docking assays demonstrated higher affinity of IC towards CDK2. Anticancer activity assays identified IC as the most active against the cancer cell lines. Cytotoxicity results in non-cancer cells suggested a lack of selectivity.

CONCLUSION

The scaffold IC was identified as the best in terms of anticancer activity and these effects may be due to inhibition of CDK2, as evidenced by molecular docking.