首页|基于GC-MS技术探究辐射肺损伤大鼠呼吸组学

基于GC-MS技术探究辐射肺损伤大鼠呼吸组学

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基于气相色谱-质谱联用(gas chromatography-mass spectrometry,GC-MS)检测辐射肺损伤大鼠呼吸气中的挥发性有机化合物(volatile organic compounds,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.针对辐射损伤模型特征,利用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、4、6 Gy各1组.采集照射后1、3、5、7 d各组的呼吸气样本,经气相色谱质谱联用检测分析.样本数据经主成分分析(principal component analysis,PCA)和正交偏最小二乘判别 分析(orthogonal partial least squares-discriminant analysis,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.检测结果表明,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.构建本判别模型为辐射损伤的呼吸组学提供理论基础,也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
To explore the effects of radiation injury on metabolic pathways by detecting the volatile organic compounds(VOCs)in exhaled breath of rats with radiation-induced lung injury based on gas chromatography-mass spectrometry(GC-MS),and to establish a non-invasive,convenient and rapid method for the diagnosis of radiation injury.In response to the characteristics of the radiation injury model,a rat radiation lung injury model was established using gradient dose irradiation with a cobalt source,and the model rats were randomly divided into four groups,one blank group(0 Gy)and one irradiation group each of 2,4 and 6 Gy.The exhaled breath were collected at 1,3,5,7 days after irradiation and analyzed by GC-MS.The samples were analyzed by principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA)to find the differential metabolites of relevant VIP>1,and further explore the potential markers of radiation-induced lung injury.The results show that there are 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 are initially screened,among which 5 kinds could be used as combinative potential biomarkers.The construction of this discriminant model provides a theoretical basis for the respiratory histology of radiation injury and an experimental reference for the establishment of a diagnostic method for the non-invasive detection of radiation injury.

radiation damagerespiratory metabolomicsVOCsGC-MS

汤健、谢晓云、肖炳坤、缪潇瑶、李志恒、黄荣清

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广东药科大学中药学院,广州 511436

军事科学院军事医学研究院辐射医学研究所,北京 100850

辐射损伤 呼吸组学 挥发性有机化合物 GC-MS

北京市自然科学基金

7172161

2024

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2024.24(17)
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