Wei Wenjun, He Jinpeng, Wang Jufang, Ding Nan, Wang Bing, Lin Sulan, Zhang Xurui, Hua Junrui, Li He, Hu Burong
a Key Laboratory of Space Radiobiology of Gansu Province and Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China.
b University of Chinese Academy of Sciences, Beijing 100049, China.
Radiat Res. 2017 Sep;188(3):342-354. doi: 10.1667/RR14702.1. Epub 2017 Jun 20.
Exposure to ionizing radiation from nuclear devices, spaceflights or terrorist attacks represents a major threat to human health and public security. After a radiological incident, noninvasive biomarkers that can facilitate rapid assessment of exposure risk in the early stages are urgently needed for optimal medical treatment. Serum microRNAs (miRNAs) are ideal biomarkers because they are stable in response to environmental changes, they are common among different species and are easily collected. Here, we performed miRNA PCR arrays to analyze miRNA expression profiles at 24 h postirradiation. Blood samples were collected from animals that received 0.5-2 Gy total-body carbon-ion irradiation. A specific signature with 12 radiosensitive miRNAs was selected for further validation. After exposure to 0.1-2 Gy of carbon-ion, iron-ion or X-ray radiations, five miRNAs that showed a significant response to these radiation types were selected for further observation of dose- and time-dependent changes: miR-183-5p, miR-9-3p, miR-200b-5p, miR-342-3p and miR-574-5p. We developed a universal model using these five miRNAs to predict the degree of exposure to different radiation types with high sensitivity and specificity. In conclusion, we have identified a set of miRNAs that are quite sensitive to different radiation types in the early stages after exposure, demonstrating their potential use as effective indicators to predict the degree of exposure.
接触来自核装置、太空飞行或恐怖袭击的电离辐射对人类健康和公共安全构成重大威胁。在发生放射性事件后,迫切需要能够在早期阶段促进快速评估暴露风险的非侵入性生物标志物,以实现最佳医疗。血清微小RNA(miRNA)是理想的生物标志物,因为它们对环境变化具有稳定性,在不同物种中普遍存在且易于收集。在此,我们进行了miRNA PCR阵列分析,以检测辐射后24小时的miRNA表达谱。从接受0.5 - 2 Gy全身碳离子照射的动物采集血样。选择了具有12种放射敏感性miRNA的特定特征进行进一步验证。在暴露于0.1 - 2 Gy的碳离子、铁离子或X射线辐射后,选择了对这些辐射类型有显著反应的5种miRNA,进一步观察其剂量和时间依赖性变化:miR - 183 - 5p、miR - 9 - 3p、miR - 200b - 5p、miR - 342 - 3p和miR - 574 - 5p。我们利用这5种miRNA开发了一个通用模型,以高灵敏度和特异性预测不同辐射类型的暴露程度。总之,我们已经鉴定出一组在暴露后早期对不同辐射类型相当敏感的miRNA,证明了它们作为预测暴露程度的有效指标的潜在用途。