Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans. (2nd January 2020)

• Record Type: Journal Article
• Authors: Iversen, Edwin S.; McCarthy, Janice M.; Burdett, Kirsten Bell; Lipton, Gary; Phillips, Gary; Dressman, Holly; Ross, Joel; Chao, Nelson
• Is Part Of: International journal of radiation biology. Volume 96:Number 1(2020)
• Page Start: 47
• Page End: 56
• Publication Date: 2020-01-02
• Subjects: Radiation biodosimetry -- non-human primate model system -- total-body irradiated human bone marrow transplant patient model system -- Bayesian linear mixed models; Radiation -- Physiological effect -- Periodicals; Radiobiology -- Periodicals; 571.45
• DOI: 10.1080/09553002.2018.1532614
• Languages: English
• ISSNs: 0955-3002

Abstract

Abstract: Purpose: Design and characterization of a radiation biodosimetry device are complicated by the fact that the requisite data are not available in the intended use population, namely humans exposed to a single, whole-body radiation dose. Instead, one must turn to model systems. We discuss our studies utilizing healthy, unexposed humans, human bone marrow transplant patients undergoing total body irradiation (TBI), non-human primates subjected to the same irradiation regimen received by the human TBI patients and NHPs given a single, whole-body dose of ionizing radiation. Materials and Methods: We use Bayesian linear mixed models to characterize the association between NHP and human expression patterns in radiation response genes when exposed to a common exposure regimen and across exposure regimens within the same species. Results: We show that population average differences in expression of our radiation response genes from one to another model system are comparable to typical differences between two randomly sampled members of a given model system and that these differences are smaller, on average, for linear combinations of the probe data and for the model-based combinations employed for dose prediction as part of a radiation biodosimetry device. Conclusions: Our analysis suggests that dose estimates based on our gene list will be accurate when applied to humans who have received a single, whole-body exposure to ionizing radiation.