Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans.
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.
Duke Scholars
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- Transcriptome
- Species Specificity
- Radiation Exposure
- Oncology & Carcinogenesis
- Models, Statistical
- Macaca mulatta
- Humans
- Dose-Response Relationship, Radiation
- Bone Marrow Transplantation
- Bayes Theorem
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Transcriptome
- Species Specificity
- Radiation Exposure
- Oncology & Carcinogenesis
- Models, Statistical
- Macaca mulatta
- Humans
- Dose-Response Relationship, Radiation
- Bone Marrow Transplantation
- Bayes Theorem