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Dehghan S, Neamati A, Ardalan P. Evaluation of the anti-inflammatory properties of silver nanoparticles synthesized by the Amaranthus Cruentus plant on liver cancer cells. yafte 2019; 21 (2) :29-37
URL: http://yafte.lums.ac.ir/article-1-2786-en.html

Background: One of the important aspects of nanotechnology for use in biology is the production of nano materials with controllable size, chemical characteristics and dimensions. It can be said that the purpose of nanotechnology is to control each atom and molecule. It is now known that nanoparticles are capable of destroying cancerous cells without side effects on normal cells. Liver cancer is the fifth most common cancer in the world and the third most common cause of cancer deaths in the world. The purpose of this study was to investigate the anti-inflammatory properties of silver nanoparticles synthesized by the Amaranthus Cruentus plant on Hep G₂ liver cancer cells.
Materials and Methods: The studies in this research included in vitro experiments. The anti-inflammatory effect of silver nanoparticles produced by the Amaranthus Cruentus plant was evaluated using the Real-Time PCR technique and assaying the expression of IL-1b and IL-10 genes at concentrations of 50, 100 and 200 μg/ml.
Results: The findings from the gene expression showed that the silver nanoparticles produced by the Amaranthus Cruentus plant significantly reduced anti-inflammatory activity by decreasing the expression of the IL-1b pre-inflammatory gene expression at the level of P <0.001 and increasing the expression of the anti-inflammatory IL -10 meaningful at the level of P <0.001.
Conclusion: Based on the results of this study, silver nanoparticles of the Amaranthus Cruentus plant have anti-cancer properties, and the expression of the gene leading to inflammation, IL-1b, decreased meaningfully. In addition, there was a significant increase in the expression of the IL-10 gene. Given these features, it is likely that the use of these nanoparticles, after supplementary studies, can be suggested as complementary data in the treatment of cancer and could have other biomedical applications.