Cao Sishuo, Xu Wentao, Luo YunBo, He Xiaoyun, Yuan Yanfang, Ran Wenjun, Liang Lixing, Huang Kunlun
Laboratory of Food Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Mol Biosyst. 2011 Jul;7(7):2304-10. doi: 10.1039/c1mb05076a. Epub 2011 May 19.
Rice is one of the most important staple foods in the world. The Cry2A gene was inserted into the rice genome to help the plant combat insects. As the unintended effects of the genetically modified (GM) organisms are the most important barriers to the promotion of GM organisms, we have carried out a useful exploration to establish a new in vivo evaluation model for genetically modified foods by metabonomics methods. In this study, the rats were fed for 90 days with the GM and NON-GM rice diets. The changes in metabolites of the urine were detected using (1)H-NMR. The metabonomics were analyzed to see whether the GM rice can induce the metabolite changes in the rats' urine when compared with the NON-GM rice group. The multivariate analysis and ANOVA were used to determine the differences and the significance of differences respectively, and eventually we concluded that these differences did not have a biological significance. The conclusion of the metabonomics was comparable with that from the traditional method. As a non-invasive and dynamic monitoring method, metabonomics will be a new way of assessing the food safety of GM foods.
水稻是世界上最重要的主食之一。Cry2A基因被插入到水稻基因组中以帮助植株对抗昆虫。由于转基因生物的非预期效应是推广转基因生物的最重要障碍，我们通过代谢组学方法开展了有益探索，以建立一种新的转基因食品体内评价模型。在本研究中，用转基因和非转基因水稻日粮喂养大鼠90天。采用氢核磁共振波谱（1H-NMR）检测尿液代谢物的变化。分析代谢组学，以观察与非转基因水稻组相比，转基因水稻是否能诱导大鼠尿液中的代谢物变化。分别采用多变量分析和方差分析来确定差异及差异的显著性，最终我们得出这些差异不具有生物学意义的结论。代谢组学的结论与传统方法的结论具有可比性。作为一种非侵入性的动态监测方法，代谢组学将成为评估转基因食品食品安全的一种新途径。
