Purpose: Dose-response curve (DRC) generation is an important aspect in cytogenetic biodosimetry for accurate dose estimation for individuals suspected of prior irradiation. DRC construction with dicentric chromosomes after acute radiation is well-established following the publication of the IAEA EPR-Biodosimetry 2011 and ISO 19238:2014. However, the short half-life of dicentrics might not be suitable for retrospective dose estimation in radiation medical workers, radiation accident clean-up workers and the general public living in areas with higher than average amount of radiation. There is an urgent need for a chromosome translocation-based DRC, which is constructed based on translocation identification with fluorescence in situ hybridization (FISH). Despite several attempts to generate such a DRC in the past 40 years, no internationally standardized protocol has been developed until 2019, resulting in possible statistical uncertainties between DRCs previously generated. Materials and methods: Using the recently published ISO 20049:2019, a DRC from five healthy donors (four males: 23, 35, 44, 55 years old, one female: 33 years old) was generated with age-adjusted translocations scored per cell equivalent (age-adjusted Tr/CE), using a modified R-script previously published in EPR-Biodosimetry, for ⁶⁰Co gamma-ray doses of 0, 0.01, 0.02, 0.05, 0.1, 0.2, 0.5 and 1 Gy. The translocation data set used, based on probes used for chromosomes number 1, 2, and 4, was previously published by Abe et al. in 2018. Results: The results output from R include the DRC coefficients (C, α, β), their p-values, the goodness-of-fit Pearson’s chi square value and its corresponding p-value, and the DRC with its 95% confidence interval (CI). The equation of the DRC obtained was 0.0005 (±0.0001) +0.0178 (±0.0037) D + 0.0901 (±0.0054) D². DRC generated with averaged Tr/CE had a wider 95% CI than DRC generated with pooled Tr/CE, resulting in a 1.3–1.5 times increase in estimated dose range. No outliers between α coefficients from previously published modified DRCs and our DRC were detected with robust Z-score. Conclusions: ISO 20046:2019 should be referenced for future FISH translocation-based DRC generation to ensure statistical reliability of dose estimation. Important considerations for FISH translocation-based DRC up to 1 Gy include scoring more than 2000 CE per dose, the use of multiple donors, age-adjustment of observed translocations, the use of a minimum of 5 dose points including 0 Gy, scoring of total simple translocations in only stable cells and the decision of using pooled or averaged age-adjusted Tr/CE.

Most solid tumors contain hypoxic and nutrient-deprived microenvironments. The cancer cells in these microenvironments have been reported to exhibit radioresistance. We have previously reported that nutrient starvation increases the expression and/or activity of ATM and DNA-PKcs, which are involved in the repair of DNA double-strand breaks induced by ionizing radiation. In the present study, to elucidate the molecular mechanisms underlying these phenomena, we investigated the roles of AMPK and FOXO3a, which play key roles in the cellular response to nutrient starvation. Nutrient starvation increased clonogenic cell survival after irradiation and increased the activity and/or expression of AMPKα, FOXO3a, ATM, DNA-PKcs, Src, EGFR, PDK1, and SOD2 in MDA-MB-231 cells. Knockdown of AMPKα using siRNA suppressed the activity and/or expression of FOXO3a, ATM, DNA-PKcs, Src, EGFR, PDK1, and SOD2 under nutrient starvation. Knockdown of FOXO3a using siRNA suppressed the activity and/or expression of AMPKα, ATM, DNA-PKcs, FOXO3a, Src, EGFR, PDK1, and SOD2 under nutrient starvation. Nutrient starvation decreased the incidence of apoptosis after 8 Gy irradiation. Knockdown of FOXO3a increased the incidence of apoptosis after irradiation under nutrient starvation. AMPK and FOXO3a appear to be key molecules that induce radioresistance under nutrient starvation and may serve as targets for radiosensitization.

The intergenerational effects from chronic low-dose exposure are matters of concern. It is thus important to elucidate the radiation-induced effects of germ cell maturation, fertilization and embryonic development. It is well known that DNA methylation levels in CpG sites in gametes are reprogrammed in stages during their maturity. Furthermore, the binding of Izumo on the surface of sperm and Juno on the surface of oocytes is essential for fertilization. Thus, there is a possibility that these genes are useful indicators to evaluate fertility in mice after irradiation exposure. Therefore, in this study, we analyzed global DNA methylation patterns in the testes and gene expression of Izumo1 and Izumo1r (Juno) in the gonads of mice after neonatal acute high-dose ionizing radiation (HDR) and chronic low-dose ionizing radiation (LDR). One-week-old male and female mice were irradiated with a total dose of 4 Gy, with acute HDR at 7 days at a dose rate of 30 Gy/h and LDR continuously at a dose rate of 6 mGy/h from 7 to 35 days. Their gonads were subsequently analyzed. The results of global DNA methylation patterns in the testes showed that methylation level increased with age in the control group, the LDR group maintained its DNA methylation level, and the HDR group showed decreased DNA methylation levels with age. In the control group, the gene expression level of Izumo1 in the testis did not show age-related changes, although there was high expression at 100 days of age. However, in the LDR group, the expression level recovered after the end of irradiation, while it remained low regardless of age in the HDR group. Conversely, gene expression of Izumo1r (Izumo1 receptor) in the ovary decreased with age in the control group. Although the gene expression of Izumo1r decreased with age in the LDR group, it remained low in the HDR group. Our results indicate that LDR can induce different DNA methylation patterns, and both high- and low-dose radiation before sexual maturity might affect gametogenesis and fertility.

Nuclear factor erythroid 2-related factor 2 (NRF2) is a key transcription factor that controls the antioxidant response to oxidative stress, especially after exposure to ionizing radiation (IR). This review examines NRF2’s emerging role as a complementary biomarker in radiobiological dosimetry for assessing radiation exposure and its potential health effects. When cells encounter IR, the resulting reactive oxygen species (ROS) interfere with the NRF2 repressor KEAP1, leading to NRF2 activation and the expression of cytoprotective genes such as HO-1, NQO1, and GCLC. Evidence suggests that NRF2 levels increase in a dose- and time-dependent manner, primarily at low to moderate radiation doses, highlighting its potential for early detection of radiation exposure. However, at high doses (>8 Gy), NRF2 activation may be suppressed due to apoptosis or irreversible damage, which limits its reliability in those situations. The review also compares NRF2 with other biomarkers used in biodosimetry, discussing its advantages, such as sensitivity and early response, along with its limitations, including variability in activation at high doses and expression influenced by other oxidative factors. The authors introduce a comprehensive radiobiological model that illustrates how low-dose IR exposure affects NRF2 expression patterns, thereby improving the understanding of dose-dependent oxidative stress mechanisms. Additionally, the role of NRF2 in inflammation and general health risk assessment is emphasized, suggesting broader applications beyond biodosimetry. Overall, NRF2 holds significant promise for use in evaluating radiation exposure, developing radioprotection strategies, and informing future radiobiological research frameworks.

In suspected radiation exposures, cytokinesis-block micronucleus (CBMN) assay is used for biodosimetry by detecting micronuclei (MN) in binucleated (BN) cells in whole blood and isolated peripheral...

The dicentric chromosome (Dic) assay, which is the gold standard for biological dose assessment in radiation emergency medicine, requires an analysis of at least 500 lymphocyte metaphases or 100 Di...