Dose-dependent metabolic alterations in human cells exposed to gamma irradiation

PLoS One. 2014 Nov 24;9(11):e113573. doi: 10.1371/journal.pone.0113573. eCollection 2014.

Abstract

Radiation exposure is a threat to public health because it causes many diseases, such as cancers and birth defects, due to genetic modification of cells. Compared with the past, a greater number of people are more frequently exposed to higher levels of radioactivity today, not least due to the increased use of diagnostic and therapeutic radiation-emitting devices. In this study, ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS)-based metabolic profiling was used to investigate radiation- induced metabolic changes in human fibroblasts. After exposure to 1 and 5 Gy of γ-radiation, the irradiated fibroblasts were harvested at 24, 48, and 72 h and subjected to global metabolite profiling analysis. Mass spectral peaks of cell extracts were analyzed by pattern recognition using principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). The results showed that the cells irradiated with 1 Gy returned to control levels at 72 h post radiation, whereas cells irradiated with 5 Gy were quite unlike the controls; therefore, cells irradiated with 1 Gy had recovered, whereas those irradiated with 5 Gy had not. Lipid and amino acid levels increased after the higher-level radiation, indicating degradation of membranes and proteins. These results suggest that MS-based metabolite profiling of γ-radiation-exposed human cells provides insight into the global metabolic alterations in these cells.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell Proliferation / radiation effects
  • Cell Survival / radiation effects
  • Cells, Cultured
  • Chromatography, High Pressure Liquid
  • Dermis / cytology
  • Discriminant Analysis
  • Dose-Response Relationship, Radiation
  • Fibroblasts / metabolism
  • Fibroblasts / radiation effects*
  • Gamma Rays*
  • Humans
  • Least-Squares Analysis
  • Mass Spectrometry / methods
  • Metabolome / radiation effects*
  • Metabolomics*
  • Multivariate Analysis
  • Principal Component Analysis
  • Time Factors

Grants and funding

This study was supported by a grant from the Korea Basic Science Institute (C34705) and the National Research Foundation of Korea (NRF) grant, funded by the Korean Government (MSIP) (2012M2A2A7012494, 2010-0019394, 2013M3A9B6046418, and the Creative Allied Project (CAP)). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.