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Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans.

Publication ,  Journal Article
Iversen, ES; McCarthy, JM; Burdett, KB; Lipton, G; Phillips, G; Dressman, H; Ross, J; Chao, N
Published in: Int J Radiat Biol
January 2020

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

Published In

Int J Radiat Biol

DOI

EISSN

1362-3095

Publication Date

January 2020

Volume

96

Issue

1

Start / End Page

47 / 56

Location

England

Related Subject Headings

  • Transcriptome
  • Species Specificity
  • Radiation Exposure
  • Oncology & Carcinogenesis
  • Models, Statistical
  • Macaca mulatta
  • Humans
  • Dose-Response Relationship, Radiation
  • Bone Marrow Transplantation
  • Bayes Theorem
 

Citation

APA
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ICMJE
MLA
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Iversen, E. S., McCarthy, J. M., Burdett, K. B., Lipton, G., Phillips, G., Dressman, H., … Chao, N. (2020). Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans. Int J Radiat Biol, 96(1), 47–56. https://doi.org/10.1080/09553002.2018.1532614
Iversen, Edwin S., Janice M. McCarthy, Kirsten Bell Burdett, Gary Lipton, Gary Phillips, Holly Dressman, Joel Ross, and Nelson Chao. “Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans.Int J Radiat Biol 96, no. 1 (January 2020): 47–56. https://doi.org/10.1080/09553002.2018.1532614.
Iversen ES, McCarthy JM, Burdett KB, Lipton G, Phillips G, Dressman H, et al. Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans. Int J Radiat Biol. 2020 Jan;96(1):47–56.
Iversen, Edwin S., et al. “Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans.Int J Radiat Biol, vol. 96, no. 1, Jan. 2020, pp. 47–56. Pubmed, doi:10.1080/09553002.2018.1532614.
Iversen ES, McCarthy JM, Burdett KB, Lipton G, Phillips G, Dressman H, Ross J, Chao N. Bridging the gaps: using an NHP model to predict single dose radiation absorption in humans. Int J Radiat Biol. 2020 Jan;96(1):47–56.

Published In

Int J Radiat Biol

DOI

EISSN

1362-3095

Publication Date

January 2020

Volume

96

Issue

1

Start / End Page

47 / 56

Location

England

Related Subject Headings

  • Transcriptome
  • Species Specificity
  • Radiation Exposure
  • Oncology & Carcinogenesis
  • Models, Statistical
  • Macaca mulatta
  • Humans
  • Dose-Response Relationship, Radiation
  • Bone Marrow Transplantation
  • Bayes Theorem