辐射损伤早期小鼠呼出气特征性挥发性有机化合物分析及诊断价值
Identification and diagnostic value of characteristic volatile organic compounds in exhaled breath of mice with early stage radiation injury
肖炳坤 1缪潇瑶 1李志恒 1郑晓飞 1黄荣清1
作者信息
- 1. 军事科学院军事医学研究院辐射医学研究所,北京 100850
- 折叠
摘要
目的 探索辐射损伤早期小鼠呼出气特征性挥发性有机化合物(VOC)成分变化及诊断价值.方法 应用热脱附-气相色谱-质谱(TD-GC/MS)技术分析受800 cGy 60Co γ射线照射小鼠呼出气中的VOC,筛查辐射损伤早期特征性VOC,建立诊断模型.结果 小鼠30d存活率为4.2%,辐射损伤后7h特征性VOC差异显著,共筛选出30个辐射损伤早期相关的差异性代谢物.通过受试者工作特征曲线(ROC)评价小鼠辐照后呼出气差异性代谢物的诊断价值,单个化合物的曲线下面积(AUC)>0.8,经Fisher判别分析筛选呼出气9种潜在生物标志物构建诊断模型,其敏感度和特异性均接近100%.结论 呼出气VOC分析有望为辐射损伤早期筛查和治疗提供一种非侵入性的诊断手段.
Abstract
Objective To investigate the characteristic volatile organic compounds(VOCs)in exhaled breath and their diagnostic value in mice with early stage radiation injury.Methods The thermal desorption gas chromatography-mass spectrometry(TD-GC/MS)technique was used to analyze VOCs in exhaled breath of irradiated mice by 60Coγ-ray with 800 cGy.The characteristic VOCs in the early stage of radiation injury were identified,and a diagnostic model was established.Results The 30-day survival rate of mice was 4.2%.There were significant differences in characteristic VOCs at 7 hours after radiation injury,and thirty characteristic VOCs related to early-stage radiation injury were identified.The diagnostic value of differential metabolites in mice after irradiation was evaluated via the ROC curve,and the area under the ROC curve(AUC)of a single compound exceeded 0.8.The diagnostic model was constructed by screening 9 potential biomarkers of exhalation through Fisher discriminant analysis,and its sensitivity and specificity were close to 100%.Conclusion Analysis of VOCs in exhaled breath is expected to provide a non-invasive diagnostic method for early screening and diagnosis of radiation injury.
关键词
挥发性有机化合物/辐射损伤/呼出气/热脱附-气质联用/诊断模型Key words
volatile organic compounds/radiation injury/exhaled breath/thermal desorption gas chromatography-mass spectrometry/diagnostic model引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据