Meso-scale Discovery Assay Detects the Changes of Plasma Cytokine Levels in Mice after Low or High LET Ionizing Irradiation.

Meso-scale Discovery Assay Detects the Changes of Plasma Cytokine Levels in Mice after Low or High LET Ionizing Irradiation.
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DOI:
10.3967/bes2021.074
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发表时间:
2021-07
期刊:
Biomedical and environmental sciences : BES
影响因子:
--
通讯作者:
Rong-bo Jia;Ya Xiong Chen;Yarong Du;Burong Hu
Rong-bo Jia;Ya Xiong Chen;Yarong Du;Burong Hu
中科院分区:
其他
文献类型:
--
作者:
Rong-bo Jia;Ya Xiong Chen;Yarong Du;Burong Hu

文献摘要

相似文献

目的获得高、低线性能量转移(LET)照射后小鼠体内29种细胞因子水平变化的精确数据,建立基于细胞因子水平的辐射暴露模型。方法采用高通量、高灵敏度的电化学发光检测技术--介观尺度发现(MSD),对碳离子或X射线照射后不同时间点的小鼠血浆样品进行分析。采用多元线性回归分析建立剂量估算方程。结果两种强度照射后1h IL-6、24 h IL-5和IL-6、7 d IL-5、IL-6和IL-15的相对水平均呈剂量依赖性升高。IL-5、IL-6和IL-15的最低检测水平分别高达4.0076 pg/mL、16.4538 pg/mL和0.4150 pg/mL。此外,还建立了剂量估算模型并进行了验证。结论MSD法能更准确地反映细胞因子IL-5、IL-6和IL-15水平的变化。这些细胞因子符合放射敏感性生物标志物的基本标准,可作为放射指示剂。我们的预测模型可以方便、准确地估计生物体受照剂量。
Objective To obtain precise data on the changes in the levels of 29 cytokines in mice after high or low linear energy transfer (LET) irradiation and to develop an accurate model of radiation exposure based on the cytokine levels after irradiation. Methods Plasma samples harvested from mice at different time points after carbon-ion or X-ray irradiation were analyzed using meso-scale discovery (MSD), a high-throughput and sensitive electrochemiluminescence measurement technique. Dose estimation equations were set up using multiple linear regression analysis. Results The relative levels of IL-6 at 1 h, IL-5 and IL-6 at 24 h, and IL-5, IL-6 and IL-15 at 7 d after irradiation with two intensities increased dose-dependently. The minimum measured levels of IL-5, IL-6 and IL-15 were up to 4.0076 pg/mL, 16.4538 pg/mL and 0.4150 pg/mL, respectively. In addition, dose estimation models were established and verified. Conclusions The MSD assay can provide more accurate data regarding the changes in the levels of the cytokines IL-5, IL-6 and IL-15. These cytokines could meet the essential criteria for radiosensitive biomarkers and can be used as radiation indicators. Our prediction models can conveniently and accurately estimate the exposure dose in irradiated organism.