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Screening of Lipids for Early Triage and Dose Estimation after Acute Radiation Exposure in Rat Plasma Based on Targeted Lipidomics Analysis
Journal of Proteome Research ( IF 4.4 ) Pub Date : 2020-11-17 , DOI: 10.1021/acs.jproteome.0c00560
Cong Xi 1 , Hua Zhao 1 , Xue Lu 1 , Tian-Jing Cai 1 , Shuang Li 1 , Ke-Hui Liu 2, 3, 4 , Mei Tian 1 , Qing-Jie Liu 1
Affiliation  

Rapid early triage and dose estimation is vital for limited medical resource allocation and treatment of a large number of the wounded after radiological accidents. Lipidomics has been utilized to delineate biofluid lipid signatures after irradiation. Here, high-coverage targeted lipidomics was employed to screen radiosensitive lipids after 0, 1, 2, 3, 5, and 8 Gy total body irradiation at 4, 24, and 72 h postirradiation in rat plasma. Ultra-performance liquid chromatography–tandem mass spectrometry with a multiple reaction monitoring method was utilized. In total, 416 individual lipids from 18 major classes were quantified and those biomarkers altered in a dose-dependent manner constituted panel A–panel D. Receiver operator characteristic curve analysis using combined lipids showed good to excellent sensitivity and specificity in triaging different radiation exposure levels (area under curve = 0.814–1.000). The equations for dose estimation were established by stepwise regression analysis for three time points. A novel strategy for radiation early triage and dose estimation was first established and validated using panels of lipids. Our study suggests that it is feasible to acquire quantitative lipid biomarker panels using targeted lipidomics platforms for rapid, high-throughput triage, which can provide further insights in developing lipidomics strategies for radiation biodosimetry in humans.

中文翻译:

基于靶向脂质组学分析的大鼠血浆急性辐射暴露后脂质的早期分类和剂量估计的筛选

快速的早期分类和剂量估算对于有限的医疗资源分配和放射事故后大量伤员的治疗至关重要。脂质组学已被用于描绘辐射后的生物流体脂质签名。在这里,在大鼠血浆中分别在辐照后4、24和72 h进行0、1、2、3、5和8 Gy全身辐射后,采用高覆盖度靶向脂质组学来筛选放射敏感性脂质。采用了具有多反应监测方法的超高效液相色谱-串联质谱。总共,对来自18个主要类别的416种脂质进行了定量分析,并且以剂量依赖的方式改变了这些生物标记物,构成了A-D组。使用组合脂质的接收者操作员特征曲线分析显示,在对不同的辐射暴露水平进行分类时,灵敏度和特异性都达到了极好(至曲线下面积= 0.814–1.000)。通过三个时间点的逐步回归分析,建立了剂量估算方程。首先建立了一种用于辐射早期分类和剂量估计的新策略,并使用脂质进行了验证。我们的研究表明,使用靶向脂质组学平台进行定量,快速,高通量分类的脂质生物标志物定量检测是可行的,这可以为开发用于人体辐射生物剂量测定的脂质组学策略提供进一步的见识。通过三个时间点的逐步回归分析,建立了剂量估算方程。首先建立了一种用于辐射早期分类和剂量估计的新策略,并使用脂质进行了验证。我们的研究表明,使用靶向脂质组学平台进行定量,快速,高通量分类的脂质生物标志物定量检测是可行的,这可以为开发用于人体辐射生物剂量测定的脂质组学策略提供进一步的见识。通过三个时间点的逐步回归分析,建立了剂量估算方程。首先建立了一种用于辐射早期分类和剂量估计的新策略,并使用脂质进行了验证。我们的研究表明,使用靶向脂质组学平台进行定量,快速,高通量分类的脂质生物标志物定量检测是可行的,这可以为开发用于人体辐射生物剂量测定的脂质组学策略提供进一步的见识。
更新日期:2021-01-01
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