Anti-proliferative and apoptotic effects of S1, a tetrandrine derivative, in human gastric cancer BGC-823 cells

QSAR Research of Novel Tetrandrine Derivatives against Human Hepatocellular Carcinoma

BACKGROUND

The new tetrandrine derivative is an anti-human liver cancer cell inhibitor which can be used to design and develop anti-human-liver-cancer drugs.

OBJECTIVE

A quantitative structure-activity relationship (QSAR) model was established to predict the physical properties of new tetrandrine derivatives using their chemical structures.

METHODS

The best descriptors were selected through CODESSA software to build a multiple linear regression model. Then, gene expression programming (GEP) was used to establish a nonlinear quantitative QSAR model with descriptors to predict the activity of a series of novel tetrandrine chemotherapy drugs. The best active compound 31 was subjected to molecular docking experiments through SYBYL software with a small fragment of the protein receptor (PDB ID:2J6M).

RESULTS

Four descriptors were selected to build a multiple linear regression model with correlation coefficients R2, R2CV and S2 with the values of 0.8352, 0.7806 and 0.0119, respectively. The training and test sets with a correlation coefficient of 0.85 and 0.83 were obtained via an automatic problem-solving program (APS) using the four selected operators as parameters, with a mean error of 1.49 and 1.08. Compound 31 had a good docking ability with an overall score of 5.8892, a collision rate of -2.8004 and an extreme value of 0.9836.

CONCLUSION

The computer-constructed drug molecular model reveals the factors affecting the activity of human hepatocellular carcinoma cells, which provides directions and guidance for the development of highly effective anti-humanhepatocellular- carcinoma drugs in the future.

Protection of silver nanoparticles using Eysenhardtia polystachya in peroxide-induced pancreatic β-Cell damage and their antidiabetic properties in zebrafish

Background

The aim was to explore the efficacy of extract of Eysenhardtia polystachya-loaded silver nanoparticles (EP/AgNPs) on pancreatic β cells, INS-1 cells, and zebrafish as a valuable model for the study of diabetes mellitus.

Materials and methods

EP/AgNPs were synthesized using methanol/water bark extract of E. polystachya and characterized using various physicochemical techniques.

Results

Immersion of adult zebrafish in 111 mM glucose solution resulted in a sustained hyperglycemic, hyperlipidemic state, and serum insulin levels decreased. The synthesized EP/AgNPs showed an absorption peak at 413 nm on ultraviolet–visible spectroscopy, revealing the surface plasmon resonance of the nanoparticles. Transmission electron microscopy indicated that most of the particles were spherical, with a diameter of 10–12 nm, a polydispersity index of 0.197, and a zeta potential of −32.25 mV, suggesting high stability of the nanoparticles. EP/AgNPs promote pancreatic β-cell survival, insulin secretion, enhanced hyperglycemia, and hyperlipidemia in glucose-induced diabetic zebrafish. EP/AgNPs also showed protection of the pancreatic β-cell line INS-1 against hydrogen peroxide-induced oxidative injury.

Conclusion

The results indicate that EP/AgNPs have good antidiabetic activity and therefore could be used to prevent the development of diabetes.