Kang Chang-Mo, Seong Hyeon Jin, Ra Kim So, Kyeong Lee Eun, Jin Yun Hyun, Young Kim Sun, Kee Chae Young
Division of Radiation Effect, Korea Institute of Radiological & Medical Sciences, Seoul 139-706, Republic of Korea.
Department of Chemistry, Sejong University, Seoul 143 - 747, Republic of Korea, (phone: +82-2-3408-3748; fax: +82-2-3408-4317).
Chem Biodivers. 2015 Nov;12(11):1696-705. doi: 10.1002/cbdv.201400431.
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.
我们采用原代细胞模型系统,作为建立一种通过结合常见且丰富的代谢物来评估电离辐射影响的方法的第一步。我们对细胞施加0、1和5 Gy的X射线照射量,24、48或72小时后收获细胞,并通过二维核磁共振光谱对代谢物进行分析,以筛选出可用于区分不同照射条件下样品的候选分子。我们追踪了源自输入的¹³C - 葡萄糖的代谢物,从细胞提取物中鉴定出其中的12种,并进行统计分析,发现包括甘氨酸、丙氨酸和谷氨酸在内的所有代谢物在照射后均增加。所选代谢物的组合使用显示出有前景的结果,其中丙氨酸和乳酸信号强度的乘积可以根据X射线照射剂量区分样品。我们希望这项工作能够为未来治疗辐射中毒患者奠定基础。