In-silico characterization of phytochemicals identified from Vitex negundo (L) extract as potential therapy for Wnt-signaling proteins

Silymarin-Loaded Tin(IV) Nanoparticles Exhibit Enhanced Bioavailability and Antiproliferative Effects on Colorectal Cancer Cells

Silymarin (SM) exhibits potential therapeutic effects due to having antioxidant activity. However, the low solubility and bioavailability of SM restrict its biological performance. To overcome this limitation, this study aimed to develop a nanoformulation composed of SM and dimethyltindichloride and investigate the effect of SM-loaded Sn nanoparticles on cancer cell growth and survival. An SM-Sn complex was synthesized and then characterized using X-ray diffraction (XRD), transmission electron microscopy (TEM), Fourier transform infrared (FTIR), EDS-MAP, dynamic light scattering (DLS), and ζ-potential analysis. After that, the SW480 colorectal cancer cell line was treated with different concentrations of SM and the SM-Sn complex. Cell viability was examined through the 3-(4,5-dimethylthiazole-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, analyzing apoptosis, and live-dead assay. The lipid peroxidation rate was assessed through the measurement of thiobarbituric acid (TBA). Intracellular reactive oxygen species (ROS) level and cell population in the cell cycle were measured using a flow cytometry instrument. To evaluate the colonization ability of SW480 cells, a colony formation assay was performed. Gene expression analysis was also conducted using a real-time polymerase chain reaction (PCR) technique. The findings of this study revealed the effectiveness of the SM-Sn complex in decreasing SW480 cell viability by inducing cell death-associated mechanisms. We found that the SM-Sn complex increases intracellular ROS level and malondialdehyde (MDA) content. It was also revealed that the SM-Sn complex induces cell cycle arrest and the expression of apoptotic genes. In addition, the SM-Sn complex could effectively hinder SW480 cells from constituting colonies. We conclude that the use of tin(IV) as a scaffold for enhanced delivery of SM could be considered an efficient option for inhibiting cancer cell proliferation and survival.

Design, Synthesis, and Anti-Inflammatory Activity of Some Coumarin Schiff Base Derivatives: In silico and in vitro Study

Introduction

Inflammation is a fundamental response of the immune system during tissue damage or pathogen infection to protect and maintain tissue homeostasis. However, inflammation may lead to life-threatening conditions. The most common treatment of inflammation is non-steroidal anti-inflammatory drugs (NSAIDs). Nowadays, the development of safer new NSAIDs is critical as most of the existing NSAIDs have serious adverse effects, such as gastrointestinal (GI) toxicity and cardiotoxicity. In the present study, four compounds as Schiff base derivatives of 7-hydroxy-4-formyl coumarin and 7-methoxy-4-formyl coumarin were designed and synthesized aiming to develop a lead compound that exhibits anti-inflammatory activity and circumvents the side effects of NSAIDs, especially GI toxicity.

Materials and Methods

Lipinski’s rule of five was applied for each designed molecule to evaluate the drug-likeness properties. Molecular docking studies were performed using the ligands and the cyclooxygenase-2 (COX-2) protein to select the best-scored molecule using AutoDock 4.2.6. The molecules were then synthesized and characterized. An in vitro anti-inflammatory assay of the compounds against the COX-2 receptor was realized through a protein denaturation assay.

Results and Discussion

All four synthesized ligands passed Lipinski’s rule of five and exhibited higher binding free energy compared to the positive standard control (ibuprofen), and the Ki values of compounds 5, 7, and 8 were in the nanomolar range. However, only compounds 6 and 7 obtained a higher percentage of inhibition of protein denaturation relative to ibuprofen.

Conclusion

The present study suggested that compound 7 may be a lead molecule because this ligand not only exhibited the best computational and experimental results but also exhibited the strongest correlation between the concentration and percentage of protein denaturation (R = 0.986 and R² = 0.972) with the lowest P-value (0.014).