当发生大规模放射事故时，快速、高通量的生物剂量测定是调配医疗资源、及时救治受害者的最重要依据。然而，目前的生物剂量计还不够快速和高通量。研究表明，电离辐射可调节健康人类细胞系和肿瘤组织中环状 RNA (circRNA) 的表达。 circRNA 表达可以快速且高通量地定量。然而，circRNA是否适合早期辐射剂量分类仍不清楚。我们采用转录组测序和生物信息学分析来筛选人淋巴母细胞系AHH-1在暴露于0、2和5小时后4小时内辐射差异表达的circRNA。 Gy 60Co γ 射线。使用实时聚合酶链反应和线性回归分析研究了暴露于0、2、4、6和8后4小时、24小时和48小时的差异表达的circRNA表达和吸收剂量之间的剂量反应关系。吉伊。通过受试者工作特征（ROC）曲线分析建立并验证了 circRNA 组的 6 种不同剂量分类模型。总共鉴定并验证了 11 个辐射差异表达的 circRNA。基于剂量反应效应，在照射后4小时、24小时和48小时将那些以剂量反应或剂量依赖性方式变化的circRNA组合成图A至F。 ROC 曲线分析表明，A 至 C 组有可能有效地对暴露和非暴露条件进行分类，这三个组的曲线下面积 (AUC) 均为 1.000，相关 p 值为 0.009。 D 组到 F 组很好地区分了不同剂量组（AUC = 0.963-1.000，p < .05）。验证分析表明，A 组至 F 组在剂量分类方面表现出一致的卓越敏感性和特异性。电离辐射确实可以调节人淋巴母细胞系 AHH-1 中的 circRNA 表达谱。差异表达的 circRNA 表现出快速、高通量剂量分类的潜力。

In the event of a large-scale radiological accident, rapid and high-throughput biodosimetry is the most vital basis in medical resource allocation for the prompt treatment of victims. However, the current biodosimeter is yet to be rapid and high-throughput. Studies have shown that ionizing radiation modulates expressions of circular RNAs (circRNAs) in healthy human cell lines and tumor tissue. circRNA expressions can be quantified rapidly and high-throughput. However, whether circRNAs are suitable for early radiation dose classification remains unclear.We employed transcriptome sequencing and bioinformatics analysis to screen for radiation-differentially expressed circRNAs in the human lymphoblastoid cell line AHH-1 at 4 h following exposure to 0, 2, and 5 Gy 60Co γ-rays. The dose-response relationships between differentially expressed circRNA expressions and absorbed doses were investigated using real-time polymerase chain reaction and linear regression analysis at 4 h, 24 h, and 48 h post-exposure to 0, 2, 4, 6, and 8 Gy. Six distinct dose classification models of circRNA panels were established and validated by receiver operating characteristic (ROC) curve analysis.A total of 11 radiation-differentially expressed circRNAs were identified and validated. Based on dose-response effects, those circRNAs changed in a dose-responsive or dose-dependent manner were combined into panels A through F at 4 h, 24 h, and 48 h post-irradiation. ROC curve analysis showed that panels A through C had the potential to effectively classify exposed and non-exposed conditions, which area under the curve (AUC) of these three panels were all 1.000, and the associate p values were .009. Panels D through F excellently distinguished between different dose groups (AUC = 0.963-1.000, p < .05). The validation assay showed that panels A through F demonstrated consistent excellence in sensitivity and specificity in dose classification.Ionizing radiation can indeed modulate the circRNA expression profile in the human lymphoblastoid cell line AHH-1. The differentially expressed circRNAs exhibit the potential for rapid and high-throughput dose classification.