Application of NMR Spectroscopy in the Assessment of Radiation Dose in Human Primary Cells

We employed the primary cell model system as a first step toward establishing a method to assess the influence of ionizing radiation by using a combination of common and abundant metabolites. We applied X‐ray irradiation amounts of 0, 1, and 5 Gy to the cells that were harvested 24, 48, or 72 h late...

Full description

Saved in:
Bibliographic Details
Published inChemistry & biodiversity Vol. 12; no. 11; pp. 1696 - 1705
Main Authors Kang, Chang-Mo, Seong Hyeon, Jin, Ra Kim, So, Kyeong Lee, Eun, Jin Yun, Hyun, Young Kim, Sun, Kee Chae, Young
Format Journal Article
LanguageEnglish
Published Zürich WILEY-VCH Verlag 01.11.2015
WILEY‐VCH Verlag
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:We employed the primary cell model system as a first step toward establishing a method to assess the influence of ionizing radiation by using a combination of common and abundant metabolites. We applied X‐ray irradiation amounts of 0, 1, and 5 Gy to the cells that were harvested 24, 48, or 72 h later, and profiled metabolites by 2D‐NMR spectroscopy to sort out candidate molecules that could be used to distinguish the samples under different irradiation conditions. We traced metabolites stemming from the input 13C‐glucose, identified twelve of them from the cell extracts, and applied statistical analysis to find out that all the metabolites, including glycine, alanine, and gluatamic acid, increased upon irradiation. The combinatorial use of the selected metabolites showed promising results where the product of signal intensities of alanine and lactate could differentiate samples according to the dose of X‐ray irradiation. We hope that this work can form a base for treating radiation‐poisoned patients in the future.
Bibliography:ark:/67375/WNG-7WB8N4LZ-H
ArticleID:CBDV201400431
istex:4995E20CEAAB20FEAAD79F8C558BF1C18F21FB5F
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1612-1872
1612-1880
DOI:10.1002/cbdv.201400431