1. BAX and DDB2 as biomarkers for acute radiation exposure in the human blood ex vivo and non-human primate models.
- Author
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Kanagaraj K, Phillippi MA, Ober EH, Shuryak I, Kleiman NJ, Olson J, Schaaf G, Cline JM, and Turner HC
- Subjects
- Animals, Humans, Radiation Exposure adverse effects, Male, Radiometry methods, Macaca mulatta, Female, Machine Learning, Radiation Dosage, Biomarkers blood, DNA-Binding Proteins blood, bcl-2-Associated X Protein metabolism, bcl-2-Associated X Protein blood
- Abstract
There are currently no available FDA-cleared biodosimetry tools for rapid and accurate assessment of absorbed radiation dose following a radiation/nuclear incident. Previously we developed a protein biomarker-based FAST-DOSE bioassay system for biodosimetry. The aim of this study was to integrate an ELISA platform with two high-performing FAST-DOSE biomarkers, BAX and DDB2, and to construct machine learning models that employ a multiparametric biomarker strategy for enhancing the accuracy of exposure classification and radiation dose prediction. The bioassay showed 97.92% and 96% accuracy in classifying samples in human and non-human primate (NHP) blood samples exposed ex vivo to 0-5 Gy X-rays, respectively up to 48 h after exposure, and an adequate correlation between reconstructed and actual dose in the human samples (R
2 = 0.79, RMSE = 0.80 Gy, and MAE = 0.63 Gy) and NHP (R2 = 0.80, RMSE = 0.78 Gy, and MAE = 0.61 Gy). Biomarker measurements in vivo from four NHPs exposed to a single 2.5 Gy total body dose showed a persistent upregulation in blood samples collected on days 2 and 5 after irradiation. The data indicates that using a combined approach of targeted proteins can increase bioassay sensitivity and provide a more accurate dose prediction., (© 2024. The Author(s).)- Published
- 2024
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