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
  • [31] Optimized automated data analysis for the cytokinesis-block micronucleus assay using imaging flow cytometry for high throughput radiation biodosimetry
    Rodrigues, M. A.
    Probst, C. E.
    Beaton-Green, L. A.
    Wilkins, R. C.
    CYTOMETRY PART A, 2016, 89A (07) : 653 - 662
  • [32] Developing point of care and high-throughput biological assays for determining absorbed radiation dose
    Joiner, Michael C.
    Thomas, Robert A.
    Grever, William E.
    Smolinski, Joseph M.
    Divine, George W.
    Konski, Andre A.
    Auner, Gregory W.
    Tucker, James D.
    RADIOTHERAPY AND ONCOLOGY, 2011, 101 (01) : 233 - 236
  • [33] Stochastic modelling for biodosimetry: Predicting the chromosomal response to radiation at different time points after exposure
    Deperas-Standylo, Joanna
    Gudowska-Nowak, Ewa
    Ritter, Sylvia
    EUROPEAN PHYSICAL JOURNAL D, 2014, 68 (07):
  • [34] Stochastic modelling for biodosimetry: Predicting the chromosomal response to radiation at different time points after exposure
    Joanna Deperas-Standylo
    Ewa Gudowska-Nowak
    Sylvia Ritter
    The European Physical Journal D, 2014, 68
  • [35] HIGH POTENTIAL FOR METHODICAL IMPROVEMENTS OF FISH-BASED TRANSLOCATION ANALYSIS FOR RETROSPECTIVE RADIATION BIODOSIMETRY
    Beinke, Christina
    Meineke, Viktor
    HEALTH PHYSICS, 2012, 103 (02): : 127 - 132
  • [36] High-throughput prediction of fraction absorbed and bioavailability in silico
    Fraczkiewicz, Robert
    Daga, Pankaj
    Clark, Robert
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 255
  • [37] Benefits and challenges of in vivo EPR nail biodosimetry in a second tier of medical triage in response to a large radiation event
    Flood, Ann Barry
    Sidabras, Jason W.
    Swarts, Steven G.
    Buehler, Paul W.
    Schreiber, Wilson
    Grinberg, Oleg
    Swartz, Harold M.
    RADIATION PROTECTION DOSIMETRY, 2023, 199 (14) : 1539 - 1550
  • [38] Comparison of inexperienced operators and experts in γH2A.X and 53BP1 foci assay for high-throughput biodosimetry approaches in a mass casualty incident
    Bucher, Martin
    Duchrow, Lukas
    Endesfelder, David
    Roessler, Ute
    Gomolka, Maria
    INTERNATIONAL JOURNAL OF RADIATION BIOLOGY, 2020, 96 (10) : 1263 - 1273
  • [39] A CASE FOR A HIGH-THROUGHPUT LABORATORY
    SINGER, R
    MEDICAL LABORATORY SCIENCES, 1985, 42 (01): : 48 - 52
  • [40] Easy biodosimetry for high-dose radiation exposures using drug-induced, prematurely condensed chromosomes
    Kanda, R
    Hayata, I
    Lloyd, DC
    INTERNATIONAL JOURNAL OF RADIATION BIOLOGY, 1999, 75 (04) : 441 - 446