Making the Case for Absorbed Radiation Response Biodosimetry - Utility of a High-Throughput Biodosimetry System

被引:2
|
作者
Hoffmeyer, Michaela R. [1 ]
Gillis, Kristin [2 ]
Park, Jin G. [2 ]
Murugan, Vel [2 ]
LaBaer, Joshua [2 ]
机构
[1] MRIGlobal, Global Hlth Surveillance & Diagnost, Kansas City, MO USA
[2] Arizona State Univ, Biodesign Inst, Tempe, AZ USA
关键词
NONHUMAN PRIMATE MODEL; EARLY DOSE ASSESSMENT; MEDICAL-MANAGEMENT; NUCLEAR DETONATION; IMPROVES SURVIVAL; H-ARS; PREDICTION; INJURIES;
D O I
10.1667/RADE-20-00029.1
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
There is an unmet need to provide medical personnel with a Food and Drug Administration (FDA)-approved biodosimetry method for quantifying individualized absorbed dose response to inform treatment decisions for a very large patient population potentially exposed to ionizing radiation in the event of a nuclear incident. Validation of biodosimetry devices requires comparison of absorbed dose estimates to delivered dose as an indication of accuracy; however, comparison to delivered dose does not account for biological variability or an individual's radiosensitivity. As there is no FDA-cleared gene-expression-based biodosimetry method for determining biological response to radiation, results from accuracy comparisons to delivered dose yield relatively wide tolerance intervals or uncertainty. The Arizona State University Biodesign Institute is developing a high-throughput, automated real-time polymerase chain reaction (RTPCR)-based biodosimetry system that provides absorbed dose estimates for patients exposed to 0-10 Gy from blood collected 1-7 days postirradiation. While the absorbed dose estimates result from a calibration against the actual exposed dose, the reported dose estimate is a measure of response to absorbed dose based on the exposure models used in developing the system. A central concern with biodosimetry test evaluation is how variability in the dose estimate results could affect medical decision-making, and if the biodosimetry test system performance is quantitatively sufficient to inform effective treatment. A risk:benefit analysis of the expected system performance in the proposed intended use environment was performed to address the potential medical utility of this biodosimetry system. Uncertainty analysis is based on biomarker variability in non-human primate (NHP) models. Monte Carlo simulation was employed to test multiple groups of biomarkers and their potential variation in response to determine uncertainty associated with dose estimate results. Dose estimate uncertainty ranges from 61.2-1.7 Gy depending on the exposure dose over a range of 2-10 Gy. The risk:benefit of individualized absorbed dose estimates within the context of medical interventions after a nuclear incident is considered and the application of the biodosimetry system is evaluated in this framework. NHP dose-response relationships, as measured by clinical outcome end points, show expected biological and radiosensitivity responses in the primate populations tested and corroborate the biological variability observed in the reported absorbed dose estimate. Performance is examined in relationship to current clinical management and treatment recommendations, with evaluation of potential patient risk in over- and underestimating absorbed dose. (C) 2021 by Radiation Research Society
引用
收藏
页码:535 / 546
页数:12
相关论文
共 50 条
  • [21] Infrastructure to support ultra high throughput biodosimetry screening after a radiological event
    Garty, Guy
    Karam, Andrew
    Brenner, David J.
    INTERNATIONAL JOURNAL OF RADIATION BIOLOGY, 2011, 87 (08) : 754 - 765
  • [22] Role of a high throughput biodosimetry test in treatment prioritization after a nuclear incident
    Jacobs, Aviva R.
    Guyon, Timothy
    Headley, Violetta
    Nair, Mahalakshmi
    Ricketts, William
    Gray, Gerry
    Wong, Jeffery Y. C.
    Chao, Nelson
    Terbrueggen, Robert
    INTERNATIONAL JOURNAL OF RADIATION BIOLOGY, 2020, 96 (01) : 57 - 66
  • [24] Differential Mobility Spectrometry-Mass Spectrometry (DMS-MS) in Radiation Biodosimetry: Rapid and High-Throughput Quantitation of Multiple Radiation Biomarkers in Nonhuman Primate Urine
    Chen, Zhidan
    Coy, Stephen L.
    Pannkuk, Evan L.
    Laiakis, Evagelia C.
    Fornace, Albert J., Jr.
    Vouros, Paul
    JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 2018, 29 (08) : 1650 - 1664
  • [25] DESIGN AND PRELIMINARY VALIDATION OF A RAPID AUTOMATED BIODOSIMETRY TOOL FOR HIGH THROUGHPUT RADIOLOGICAL TRIAGE
    Chen, Youhua
    Zhang, Jian
    Wang, Hongliang
    Garty, Guy
    Xu, Yanping
    Lyulko, Oleksandra V.
    Turner, Helen C.
    Randers-Pehrson, Gerhard
    Simaan, Nabil
    Yao, Y. Lawrence
    Brenner, D. J.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, VOL 3, 2010, : 61 - 67
  • [26] Development of Biomarkers for Radiation Biodosimetry and Medical Countermeasures Research: Current Status, Utility, and Regulatory Pathways
    Satyamitra, Merriline M.
    DiCarlo, Andrea L.
    Hollingsworth, Brynn A.
    Winters, Thomas A.
    Taliaferro, Lanyn P.
    RADIATION RESEARCH, 2022, 197 (05) : 514 - 532
  • [27] Use of a Humanized Mouse Model System in the Validation of Human Radiation Biodosimetry Standards
    Pujol-Canadell, Monica
    Young, Erik
    Smilenov, Lubomir
    RADIATION RESEARCH, 2019, 191 (05) : 439 - 446
  • [28] Flow cytometry-assisted quantification of γH2AX expression has potential as a rapid high-throughput biodosimetry tool
    Achel, Daniel G.
    Serafin, Antonio M.
    Akudugu, John M.
    RADIATION AND ENVIRONMENTAL BIOPHYSICS, 2016, 55 (03) : 349 - 357
  • [29] Flow cytometry-assisted quantification of γH2AX expression has potential as a rapid high-throughput biodosimetry tool
    Daniel G. Achel
    Antonio M. Serafin
    John M. Akudugu
    Radiation and Environmental Biophysics, 2016, 55 : 349 - 357
  • [30] Development of Biomarkers for Radiation Biodosimetry and Medical Countermeasures Research: Current Status, Utility, and Regulatory Pathways COMMENT
    Winters, Thomas A.
    Taliaferro, Lanyn P.
    Satyamitra, Merriline M.
    RADIATION RESEARCH, 2022, 197 (05) : 554 - 558