HepG2 cells,a kind of human hepatoma cells,are mature models for studying the effects of glucose on cell metabolism and responses to different stimuli,because these cells can easily grow in low-glucose and high-glucose media.As a cell line derived from liver,HepG2 cell is one of the target organs of nanoparticle-mediated toxicity.HepG2 cell is also a recognized nano-toxicity test model.The application of nanomaterials in photothermal or photodynamic therapy of tumor diseases is a current research hotspot,but it is often used in treatment.Nanomaterials are increasingly used in consumer goods and medical products because of their antibacterial properties.However,their potential toxicity to human cells is a major problem,and better understanding of their effects on cell metabolism and function is needed.There are still few studies on the mechanism of the effect of nanomaterials on cell metabolism.Therefore,it is necessary to further study the regulation of nanomaterials on cell metabolism.In this dissertation,the metabolic mechanism of carbon nitride quantum dots,silver nanoparticles and silver indium sulfide on the proliferation of hepatoma cells was studied by using nuclear magnetic resonance spectroscopy metabolomics technology combined with pattern recognition analysis method.The liver cancer cell culture medium was set as the control group and the experimental group,and the SIMCA-P13+software was used to perform principal component analysis on the proton NMR data of the cell culture medium in different time periods.It was found that the data in different time periods were clearly distinguished,indicating that the cell culture The composition of the liquid has changed.Partial least squares discriminant analysis was performed on the data at different time points and the negative control group data.The values of R~2X were all above 0.73,the values of Q~2 were all above 0.9,and the values of R~2Y were all above 0.95,indicating that the partial least squares discriminant analysis model was effective.The fitting effect and prediction effect are better.The partial least squares discriminant analysis model was tested by permutation,and the results showed that the model prediction effect was better.In order to more clearly compare the changes of metabolite content in different time periods,Mest Re Novo software was used to integrate the peaks of metabolites in the HNMR spectrum,and the relative integrated areas of metabolites in different time periods were compared.The results showed that the metabolites such as lactic acid,pyruvic acid,acetic acid,alanine,glucose and other metabolites varied greatly.Nanomaterials dysregulate multiple key metabolites involved in amino acid metabolism,glycolysis and tricarboxylic acid(TCA)cycle,nucleotide metabolism,lipid metabolism.The added material affects the glycolysis process of liver cancer cells,that is,liver cancer cells absorb a large amount of glucose,which is then converted into pyruvate,and further converted into lactic acid under anaerobic conditions.The highest concentrations of pyruvate were found in the experimental group,indicating that the energy pathway was affected and that the conversion between lactate and pyruvate was affected.During the process of glycolysis,the generated pyruvate is converted into acetyl-Co A to participate in the energy metabolism of cells.1H-NMR metabolomics results showed that carbon nitride quantum dots,silver nanoparticles,and silver indium sulfide can regulate amino acid metabolism,glucose metabolism and energy metabolism,and can significantly reduce the glucose level of glycolytic cells.The inhibitory effect of these three nanomaterials on liver cancer cells was compared by MTT method,and it was found that silver indium sulfide had better inhibitory effect on liver cancer cells,and would have good application value in nanomedicine treatment. |