There are urgent needs to establish capability to rapidly assess radiation injury in mass casualty and population monitoring scenarios. This study's objective was to evaluate several currently available biomarkers that can provide early diagnostic triage information after radiation exposure. Hematology and blood chemistry measurements were performed on samples derived from a nonhuman primate (Macaca mulatta; n = 8) total-body irradiation (TBI) model (6.5-Gy Co gamma rays at 0.6 Gy min). The results from this study demonstrate: a) time course for changes in C-reactive protein (CRP) (-2 d to 15 d after TBI); b) time-dependent (-2 d, 1-4 d after TBI) changes in blood cell counts [i.e., lymphocytes decrease to 5-8% of pre-study levels at 1 to 4 d after TBI; ratio of neutrophil to lymphocytes increases by 44 +/- 18 (p = 0.016), 12 +/- 4 (p = 0.001), 8 +/- 2 (p = 0.0020), and 5.0 +/- 2 (p = 0.002) fold at 1, 2, 3, and 4 days after TBI, respectively]; and c) 4.5 +/- 0.8 (p = 0.002)-fold increases in serum amylase activity 1 d after TBI. Plasma CRP levels at 1 d after exposure were 22 +/- 13 (p = 0.0005) (females) and 44 +/- 11 (p = 0.0004) (males)-fold elevated above baseline levels. One hundred percent successful separation of samples from exposed macaques (24 h after TBI) vs. samples from the same macaque taken before irradiation using a discriminant analysis based on four biomarkers (i.e., lymphocytes, neutrophils, ratio of neutrophils to lymphocytes, and serum amylase activity) was demonstrated. These results demonstrate the practical use of multiple parameter biomarkers to enhance the discrimination of exposed vs. non-exposed individuals and justify a follow-on rhesus macaque dose-response study.
Nuclear accidents or terrorist attacks could expose large numbers of people to ionizing radiation. Early biomarkers of radiation injury will be critical for triage, treatment, and follow-up of such individuals. The authors evaluated the utility of multiple blood biomarkers for early-response assessment of radiation exposure using a murine (CD2F1, males) total-body irradiation (TBI) model exposed to ⁶⁰Co γ rays (0.6 Gy min⁻¹) over a broad dose range (0-14 Gy) and timepoints (4 h-5 d). Results demonstrate: 1) dose-dependent changes in hematopoietic cytokines: Flt-3 ligand (Flt3L), interleukin 6 (IL-6), granulocyte colony stimulating factor (G-CSF), thrombopoietin (TPO), erythropoietin (EPO), and acute phase protein serum amyloid A (SAA); 2) dose-dependent changes in blood cell counts: lymphocytes, neutrophils, platelets, and ratio of neutrophils to lymphocytes; 3) protein results coupled with peripheral blood cell counts established very successful separation of groups irradiated to different doses; and 4) enhanced separation of dose was observed as the number of biomarkers increased. Results show that the dynamic changes in the levels of SAA, IL-6, G-CSF, and Flt3L reflect the time course and severity of acute radiation syndrome (ARS) and may function as prognostic indicators of ARS outcome. These results also demonstrate proof-in-concept that plasma proteins show promise as a complimentary approach to conventional biodosimetry for early assessment of radiation exposures and, coupled with peripheral blood cell counts, provide early diagnostic information to manage radiation casualty incidents effectively, closing a gap in capabilities to rapidly and effectively assess radiation exposure early, especially needed in case of a mass-casualty radiological incident.
Development and validation of early-response radiation injury biomarkers are critical for effective triage and medical management of irradiated individuals. Plasma protein and haematological profiles were evaluated using multivariate linear-regression analysis to provide dose-response calibration curves for photon-radiation dose assessment in 30 rhesus macaques total-body-irradiated to 1-8.5 Gy with (60)Co gamma rays (0.55 Gy min(-1)). Equations for radiation dose received were established based on different combinations of protein biomarkers [i.e. C-reactive protein (CRP), serum amyloid A (SAA), interleukin 6 (IL-6) and Flt3 Ligand (Flt3L)] at samples collection time-points 6 h, 1, 2, 3, 4 and 7 d post-total-body irradiation. Dynamic changes in the levels of CRP, SAA, IL-6 and Flt3L may function as prognostic indicators of the time course and severity of acute radiation sickness (ARS). The combination of protein biomarkers provides greater accuracy for early radiation assessment than any one biomarker alone.
Early treatment of populations exposed to ionizing radiation requires accurate and rapid biodosimetry with a precision as high as possible to determine an individual's exposure level and risk for morbidity and mortality. The purpose of this study was to evaluate the utility of multiple blood biomarkers for early-response assessment of radiation exposure using a murine (BALB/c, males) in vivo radiation model. Present results for mice exposed to whole-body Co gamma-rays (0.1 Gy min) over a broad dose range (0-7 Gy) demonstrate at 24 h after exposure: 1) dose-dependent increase in the acute phase protein serum amyloid A or SAA; 2) dose-dependent changes in blood cell counts (lymphocytes, neutrophils, and ratio of neutrophils to lymphocytes); 3) SAA results coupled with peripheral blood cell counts analyzed with use of multivariate discriminant analysis established very successful separation of irradiated animals; 4) an enhanced separation as the number of biomarkers increased. These results also demonstrate proof-in-concept that plasma protein SAA shows promise as a complimentary approach to conventional biodosimetry for early assessment of radiation exposures and, coupled with peripheral blood cell counts, provides early diagnostic information to effectively manage radiation casualty incidents.
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