Chinese Journal of Magnetic Resonance (Dec 2019)

Analysis of Metabolic Characteristics of SIRT7 Low Expression Glioma Cell Line Using NMR-Based Metabonomics

  • SHAO Wei,
  • LIN Qing-yuan,
  • YANG Wen-sheng,
  • HUANG Cai-hua,
  • LIN Dong-hai

DOI
https://doi.org/10.11938/cjmr20192774
Journal volume & issue
Vol. 36, no. 04
pp. 517 – 524

Abstract

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Tumor is a metabolic disease. The effect of oncogene expression on the metabolism of cancer cells is one of the hotspots in cancer research. In this study, 1H NMR-based metabonomics analysis was used to explore the metabolic characteristics of glioma cell lines with low expression of SIRT7, and to identify the characteristic metabolites and metabolic pathways related to the expression of SIRT7. The results showed that there were significant differences in metabolic profiles between the SIRT7 low expression group and the control group, and 22 aqueous metabolites were found to vary significantly. Compared with the control group, the concentration of 12 metabolites including lactate, glycine, and glutamate, and so on, increased in SIRT7 low expression glioma cell lines, while the concentration of 10 metabolites such as valine, leucine, lysine, et al. decreased. Pathway enrichment analysis indicated that the metabolic pathways of aminoacyl-tRNA biosynthesis, tyrosine metabolism, and so on, were closely related to the low expression of SIRT7. The results provide a theoretical basis for further mechanism elucidation of SIRT7 regulating glioma cell metabolism.

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