基于GC-MS技术探究辐射肺损伤大鼠呼吸组学

目的:基于GC-MS检测辐射肺损伤大鼠呼吸气中的挥发性有机化合物(VOCs)变化,探究辐射损伤对大鼠代谢的影响,建立无创性、方便快捷的辐射损伤诊断方法。方法:钴源梯度剂量照射制备大鼠辐射肺损伤模型,模型大鼠随机分为4组,空白组(0 Gy)1组,照射组2 Gy、4 Gy、6 Gy各1组。采集照射后第1 天、3 天、5 天、7 天各组的呼吸气样本,经气相色谱质谱联用检测分析。样本数据经PCA和OPLS-DA等多元统计分析,寻找相关VIP>1的差异性代谢产物,进一步探究辐射肺损伤的潜在标志物。结果:空白组与照射组血相指标、肺组织HE染色切片和呼吸气中VOCs均存在明显差异,初筛出25种差异性代谢产物,其中壬醛等5种可能作为组合性潜在标志物。结论:本研究为辐射损伤的呼吸组学提供理论基础,为建立一种无创检测辐射损伤的诊断方法提供实验参考。

Respiratory metabolomics of radiation-damaged rats based on GC-MS

Objective: To explore the effects of radiation injury on metabolic pathways by detecting the volatileorganiccompounds (VOCs) in exhaled breath of rats with Radiation-induced lunginjury based on GC-MS, and to establish a non-invasive, convenient and rapid method for the diagnosis of radiation injury. Methods: The rat model of radiation lung injury was prepared by gradient dose irradiation with cobalt source. The rats were randomly divided into 4 groups according to the irradiation dose: 0 Gy group, 2 Gy group, 4 Gy group and 6 Gy group. Theexhaled breathwerecollected at 1,3,5,7 days after irradiation and analyzed by gas chromatography-mass spectrometry. The samples were analyzed by PCA and OPLS-DA? to find the differential metabolites of relevant VIP>1, and further explore the potential markers of? Radiation-induced lunginjury. Results: There were significant differences in blood phase indexes, HE stained sections of lung tissue and VOCs in exhaled breath between the blank and irradiation groups. 25 kinds of metabolites were initially screened, among which 5 could be used as combinative? potentialbiomarkers. Conclusion: This study provides a theoretical basis for the respiration of radiation damage and an experimental reference for the establishment of a non-invasive diagnostic method for the detection of radiation damage.