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Repin M, Garty G, Garippa RJ, Brenner DJ. RABiT-III: an Automated Micronucleus Assay at a Non-Specialized Biodosimetry Facility. Radiat Res 2024; 201:567-571. [PMID: 38514936 PMCID: PMC11310857 DOI: 10.1667/rade-23-00120.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 03/14/2024] [Indexed: 03/23/2024]
Abstract
Micronuclei, detected through the cytokinesis-block micronucleus assay, are valuable indicators of ionizing radiation exposure, especially in short-term lymphocyte cultures. The peripheral human blood lymphocyte assay is recognized as a prime candidate for automated biodosimetry. In a prior project at the Columbia University Center for Radiological Research, we automated this assay using the 96-well ANSI/SLAS microplate standard format and relied on established biotech robotic systems named Rapid Automated Biodosimetry Tool (RABiT). In this study, we present the application of a similar automated biotech setup at an external high-throughput facility (RABiT-III) to implement the same automated cytokinesis-block micronucleus assay. Specifically, we employed the Agilent BRAVO liquid-handling system and GE IN Cell Analyzer 6000 imaging system in conjunction with the PerkinElmer Columbus image data storage and analysis system. Notably, this analysis system features an embedded PhenoLOGIC machine learning module, simplifying the creation of cell classification algorithms for CBMN assay image analysis and enabling the generation of radiation dose-response curves. This investigation underscores the adaptability of the RABiT-II CBMN protocol to diverse RABiT-III biotech robotic platforms in non-specialized biodosimetry centers. Furthermore, it highlights the advantages of machine learning in rapidly developing algorithms crucial for the high-throughput automated analysis of RABiT-III images.
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Affiliation(s)
- Mikhail Repin
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Guy Garty
- Radiological Research Accelerator Facility, Columbia University Irving Medical Center, Irvington, New York
| | - Ralph J. Garippa
- Gene Editing & Screening Core Laboratory, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David J. Brenner
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
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2
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Okunola HL, Shuryak I, Repin M, Wu HC, Santella RM, Terry MB, Turner HC, Brenner DJ. Improved prediction of breast cancer risk based on phenotypic DNA damage repair capacity in peripheral blood B cells. RESEARCH SQUARE 2023:rs.3.rs-3093360. [PMID: 37461559 PMCID: PMC10350237 DOI: 10.21203/rs.3.rs-3093360/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Background Standard Breast Cancer (BC) risk prediction models based only on epidemiologic factors generally have quite poor performance, and there have been a number of risk scores proposed to improve them, such as AI-based mammographic information, polygenic risk scores and pathogenic variants. Even with these additions BC risk prediction performance is still at best moderate. In that decreased DNA repair capacity (DRC) is a major risk factor for development of cancer, we investigated the potential to improve BC risk prediction models by including a measured phenotypic DRC assay. Methods Using blood samples from the Breast Cancer Family Registry we assessed the performance of phenotypic markers of DRC in 46 matched pairs of individuals, one from each pair with BC (with blood drawn before BC diagnosis) and the other from controls matched by age and time since blood draw. We assessed DRC in thawed cryopreserved peripheral blood mononuclear cells (PBMCs) by measuring γ-H2AX yields (a marker for DNA double-strand breaks) at multiple times from 1 to 20 hrs after a radiation challenge. The studies were performed using surface markers to discriminate between different PBMC subtypes. Results The parameter F res , the residual damage signal in PBMC B cells at 20 hrs post challenge, was the strongest predictor of breast cancer with an AUC (Area Under receiver-operator Curve) of 0.89 [95% Confidence Interval: 0.84-0.93] and a BC status prediction accuracy of 0.80. To illustrate the combined use of a phenotypic predictor with standard BC predictors, we combined F res in B cells with age at blood draw, and found that the combination resulted in significantly greater BC predictive power (AUC of 0.97 [95% CI: 0.94-0.99]), an increase of 13 percentage points over age alone. Conclusions If replicated in larger studies, these results suggest that inclusion of a fingerstick-based phenotypic DRC blood test has the potential to markedly improve BC risk prediction.
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Affiliation(s)
| | | | | | - Hui-Chen Wu
- Columbia University Mailman School of Public Health
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3
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Ghandhi SA, Morton SR, Shuryak I, Lee Y, Soni RK, Perrier JR, Bakke J, Gahagan J, Bujold K, Authier S, Amundson SA, Brenner DJ, Nishita D, Chang P, Turner HC. Longitudinal multi-omic changes in the transcriptome and proteome of peripheral blood cells after a 4 Gy total body radiation dose to Rhesus macaques. BMC Genomics 2023; 24:139. [PMID: 36944971 PMCID: PMC10031949 DOI: 10.1186/s12864-023-09230-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 03/06/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Non-human primates, such as Rhesus macaques, are a powerful model for studies of the cellular and physiological effects of radiation, development of radiation biodosimetry, and for understanding the impact of radiation on human health. Here, we study the effects of 4 Gy total body irradiation (TBI) at the molecular level out to 28 days and at the cytogenetic level out to 56 days after exposure. We combine the global transcriptomic and proteomic responses in peripheral whole blood to assess the impact of acute TBI exposure at extended times post irradiation. RESULTS The overall mRNA response in the first week reflects a strong inflammatory reaction, infection response with neutrophil and platelet activation. At 1 week, cell cycle arrest and re-entry processes were enriched among mRNA changes, oncogene-induced senescence and MAPK signaling among the proteome changes. Influenza life cycle and infection pathways initiated earlier in mRNA and are reflected among the proteomic changes during the first week. Transcription factor proteins SRC, TGFβ and NFATC2 were immediately induced at 1 day after irradiation with increased transcriptional activity as predicted by mRNA changes persisting up to 1 week. Cell counts revealed a mild / moderate hematopoietic acute radiation syndrome (H-ARS) reaction to irradiation with expected lymphopenia, neutropenia and thrombocytopenia that resolved within 30 days. Measurements of micronuclei per binucleated cell levels in cytokinesis-blocked T-lymphocytes remained high in the range 0.27-0.33 up to 28 days and declined to 0.1 by day 56. CONCLUSIONS Overall, we show that the TBI 4 Gy dose in NHPs induces many cellular changes that persist up to 1 month after exposure, consistent with damage, death, and repopulation of blood cells.
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Affiliation(s)
- Shanaz A. Ghandhi
- Center for Radiological Research, Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY 10032 USA
| | - Shad R. Morton
- Center for Radiological Research, Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY 10032 USA
| | - Igor Shuryak
- Center for Radiological Research, Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY 10032 USA
| | - Younghyun Lee
- Center for Radiological Research, Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY 10032 USA
| | - Rajesh K. Soni
- Proteomics and Macromolecular Crystallography Shared Resource, Herbert Irving Comprehensive Cancer Center, NY New York, 10032 USA
| | - Jay R. Perrier
- Center for Radiological Research, Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY 10032 USA
| | - James Bakke
- Biosciences Division, SRI, 333 Ravenswood Avenue, Menlo Park, CA 94025 USA
| | - Janet Gahagan
- Biosciences Division, SRI, 333 Ravenswood Avenue, Menlo Park, CA 94025 USA
| | - Kim Bujold
- Charles River Laboratory, 445 Armand-Grappier Blvd, (QC) H7V 4B3 Laval, Canada
| | - Simon Authier
- Charles River Laboratory, 445 Armand-Grappier Blvd, (QC) H7V 4B3 Laval, Canada
| | - Sally A. Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY 10032 USA
| | - David J. Brenner
- Center for Radiological Research, Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY 10032 USA
| | - Denise Nishita
- Biosciences Division, SRI, 333 Ravenswood Avenue, Menlo Park, CA 94025 USA
| | - Polly Chang
- Biosciences Division, SRI, 333 Ravenswood Avenue, Menlo Park, CA 94025 USA
| | - Helen C. Turner
- Center for Radiological Research, Columbia University Irving Medical Center, 630, W 168th street, VC11-237, New York, NY 10032 USA
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4
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M’Kacher R, Colicchio B, Junker S, El Maalouf E, Heidingsfelder L, Plesch A, Dieterlen A, Jeandidier E, Carde P, Voisin P. High Resolution and Automatable Cytogenetic Biodosimetry Using In Situ Telomere and Centromere Hybridization for the Accurate Detection of DNA Damage: An Overview. Int J Mol Sci 2023; 24:ijms24065699. [PMID: 36982772 PMCID: PMC10054499 DOI: 10.3390/ijms24065699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/07/2023] [Accepted: 03/10/2023] [Indexed: 03/19/2023] Open
Abstract
In the event of a radiological or nuclear accident, or when physical dosimetry is not available, the scoring of radiation-induced chromosomal aberrations in lymphocytes constitutes an essential tool for the estimation of the absorbed dose of the exposed individual and for effective triage. Cytogenetic biodosimetry employs different cytogenetic assays including the scoring of dicentrics, micronuclei, and translocations as well as analyses of induced premature chromosome condensation to define the frequency of chromosome aberrations. However, inherent challenges using these techniques include the considerable time span from sampling to result, the sensitivity and specificity of the various techniques, and the requirement of highly skilled personnel. Thus, techniques that obviate these challenges are needed. The introduction of telomere and centromere (TC) staining have successfully met these challenges and, in addition, greatly improved the efficiency of cytogenetic biodosimetry through the development of automated approaches, thus reducing the need for specialized personnel. Here, we review the role of the various cytogenetic dosimeters and their recent improvements in the management of populations exposed to genotoxic agents such as ionizing radiation. Finally, we discuss the emerging potentials to exploit these techniques in a wider spectrum of medical and biological applications, e.g., in cancer biology to identify prognostic biomarkers for the optimal triage and treatment of patients.
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Affiliation(s)
- Radhia M’Kacher
- Cell Environment DNA Damage R&D, Genopole, 91000 Evry-Courcouronnes, France
- Correspondence: ; Tel.: +33-160878918
| | - Bruno Colicchio
- IRIMAS, Institut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute-Alsace, 69093 Mulhouse, France
| | - Steffen Junker
- Institute of Biomedicine, University of Aarhus, DK-8000 Aarhus, Denmark
| | - Elie El Maalouf
- Cell Environment DNA Damage R&D, Genopole, 91000 Evry-Courcouronnes, France
| | | | - Andreas Plesch
- MetaSystems GmbH, Robert-Bosch-Str. 6, D-68804 Altlussheim, Germany
| | - Alain Dieterlen
- IRIMAS, Institut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute-Alsace, 69093 Mulhouse, France
| | - Eric Jeandidier
- Laboratoire de Génétique, Groupe Hospitalier de la Région de Mulhouse Sud-Alsace, 69093 Mulhouse, France
| | - Patrice Carde
- Department of Hematology, Institut Gustave Roussy, 94804 Villejuif, France
| | - Philippe Voisin
- Cell Environment DNA Damage R&D, Genopole, 91000 Evry-Courcouronnes, France
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Royba E, Repin M, Balajee AS, Shuryak I, Pampou S, Karan C, Wang YF, Lemus OD, Obaid R, Deoli N, Wuu CS, Brenner DJ, Garty G. Validation of a High-Throughput Dicentric Chromosome Assay Using Complex Radiation Exposures. Radiat Res 2023; 199:1-16. [PMID: 35994701 PMCID: PMC9947868 DOI: 10.1667/rade-22-00007.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 10/24/2022] [Indexed: 01/12/2023]
Abstract
Validation of biodosimetry assays is routinely performed using primarily orthovoltage irradiators at a conventional dose rate of approximately 1 Gy/min. However, incidental/ accidental exposures caused by nuclear weapons can be more complex. The aim of this work was to simulate the DNA damage effects mimicking those caused by the detonation of a several kilotons improvised nuclear device (IND). For this, we modeled complex exposures to: 1. a mixed (photons + IND-neutrons) field and 2. different dose rates that may come from the blast, nuclear fallout, or ground deposition of radionuclides (ground shine). Additionally, we assessed whether myeloid cytokines affect the precision of radiation dose estimation by modulating the frequency of dicentric chromosomes. To mimic different exposure scenarios, several irradiation systems were used. In a mixed field study, human blood samples were exposed to a photon field enriched with neutrons (ranging from 10% to 37%) from a source that mimics Hiroshima's A-bomb's energy spectrum (0.2-9 MeV). Using statistical analysis, we assessed whether photons and neutrons act in an additive or synergistic way to form dicentrics. For the dose rates study, human blood was exposed to photons or electrons at dose rates ranging from low (where the dose was spread over 32 h) to extremely high (where the dose was delivered in a fraction of a microsecond). Potential effects of cytokine treatment on biodosimetry dose predictions were analyzed in irradiated blood subjected to Neupogen or Neulasta for 24 or 48 h at the concentration recommended to forestall manifestation of an acute radiation syndrome in bomb survivors. All measurements were performed using a robotic station, the Rapid Automated Biodosimetry Tool II, programmed to culture lymphocytes and score dicentrics in multiwell plates (the RABiT-II DCA). In agreement with classical concepts of radiation biology, the RABiT-II DCA calibration curves suggested that the frequency of dicentrics depends on the type of radiation and is modulated by changes in the dose rate. The resulting dose-response curves suggested an intermediate dicentric yields and additive effects of photons and IND-neutrons in the mixed field. At ultra-high dose rate (600 Gy/s), affected lymphocytes exhibited significantly fewer dicentrics (P < 0.004, t test). In contrast, we did not find the dose-response modification effects of radiomitigators on the yields of dicentrics (Bonferroni corrected P > 0.006, ANOVA test). This result suggests no bias in the dose predictions should be expected after emergency cytokine treatment initiated up to 48 h prior to blood collection for dicentric analysis.
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Affiliation(s)
- Ekaterina Royba
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Mikhail Repin
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Adayabalam S. Balajee
- Radiation Emergency Assistance Center/Training Site (REAC/TS), Cytogenetic Biodosimetry Laboratory (CBL), Oak Ridge Institute for Science and Education, Oak Ridge Associated Universities, Oak Ridge, Tennessee
| | - Igor Shuryak
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Sergey Pampou
- Columbia Genome Center High-Throughput Screening facility, Columbia University Irving Medical Center, New York, New York
| | - Charles Karan
- Columbia Genome Center High-Throughput Screening facility, Columbia University Irving Medical Center, New York, New York
| | - Yi-Fang Wang
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York
| | - Olga Dona Lemus
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York
| | - Razib Obaid
- Radiological Research Accelerator facility, Columbia University Irving Medical Center, Irvington, New York
- Currently at Stanford Linear Accelerator Center National Accelerator Laboratory, Menlo Park, California
| | - Naresh Deoli
- Radiological Research Accelerator facility, Columbia University Irving Medical Center, Irvington, New York
| | - Cheng-Shie Wuu
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York
| | - David J. Brenner
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Guy Garty
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
- Radiological Research Accelerator facility, Columbia University Irving Medical Center, Irvington, New York
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6
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Shuryak I, Royba E, Repin M, Turner HC, Garty G, Deoli N, Brenner DJ. A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assays. Sci Rep 2022; 12:21077. [PMID: 36473912 PMCID: PMC9726929 DOI: 10.1038/s41598-022-25453-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022] Open
Abstract
A large-scale malicious or accidental radiological event can expose vast numbers of people to ionizing radiation. The dicentric chromosome (DCA) and cytokinesis-block micronucleus (CBMN) assays are well-established biodosimetry methods for estimating individual absorbed doses after radiation exposure. Here we used machine learning (ML) to test the hypothesis that combining automated DCA and CBMN assays will improve dose reconstruction accuracy, compared with using either cytogenetic assay alone. We analyzed 1349 blood sample aliquots from 155 donors of different ages (3-69 years) and sexes (49.1% males), ex vivo irradiated with 0-8 Gy at dose rates from 0.08 Gy/day to ≥ 600 Gy/s. We compared the performances of several state-of-the-art ensemble ML methods and found that random forest generated the best results, with R2 for actual vs. reconstructed doses on a testing data subset = 0.845, and mean absolute error = 0.628 Gy. The most important predictor variables were CBMN and DCA frequencies, and age. Removing CBMN or DCA data from the model significantly increased squared errors on testing data (p-values 3.4 × 10-8 and 1.1 × 10-6, respectively). These findings demonstrate the promising potential of combining CBMN and DCA assay data to reconstruct radiation doses in realistic scenarios of heterogeneous populations exposed to a mass-casualty radiological event.
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Affiliation(s)
- Igor Shuryak
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168th Street, VC-11-234/5, New York, NY, 10032, USA.
| | - Ekaterina Royba
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Mikhail Repin
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Helen C Turner
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Guy Garty
- Radiological Research Accelerator Facility, Columbia University Irving Medical Center, Irvington, NY, USA
| | - Naresh Deoli
- Radiological Research Accelerator Facility, Columbia University Irving Medical Center, Irvington, NY, USA
| | - David J Brenner
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168th Street, VC-11-234/5, New York, NY, 10032, USA
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Satyamitra MM, Perez-Horta Z, DiCarlo AL, Cassatt DR, Rios CI, Price PW, Taliaferro LP. NIH Policies and Regulatory Pathways to U.S. FDA licensure: Strategies to Inform Advancement of Radiation Medical Countermeasures and Biodosimetry Devices. Radiat Res 2022; 197:533-553. [PMID: 35113982 DOI: 10.1667/rade-21-00198.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 01/05/2022] [Indexed: 11/03/2022]
Abstract
The Radiation and Nuclear Countermeasures Program within the National Institute of Allergy and Infectious Diseases (NIAID), is tasked with the mandate of identifying biodosimetry tests to assess exposure and medical countermeasures (MCMs) to mitigate/treat injuries to individuals exposed to significant doses of ionizing radiation from a radiological/nuclear incident, hosted. To fulfill this mandate, the Radiation and Nuclear Countermeasures Program (RNCP), hosted a workshop in 2018 workshop entitled "Policies and Regulatory Pathways to U.S. FDA licensure: Radiation Countermeasures and Biodosimetry Devices." The purpose of the meeting was to facilitate the advancement of MCMs and biodosimetry devices by assessing the research devices and animal models used in preclinical studies; government policies on reproducibility, rigor and robustness; regulatory considerations for MCMs and biodosimetry devices; and lessons learned from sponsors of early stage MCM or biodosimetry devices. Meeting presentations were followed by a NIAID-led, open discussion among academic investigators, industry researchers and U.S. government representatives.
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Affiliation(s)
- Merriline M Satyamitra
- Radiation and Nuclear Countermeasures Program (RNCP), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - Zulmarie Perez-Horta
- Radiation and Nuclear Countermeasures Program (RNCP), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - Andrea L DiCarlo
- Radiation and Nuclear Countermeasures Program (RNCP), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - David R Cassatt
- Radiation and Nuclear Countermeasures Program (RNCP), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - Carmen I Rios
- Radiation and Nuclear Countermeasures Program (RNCP), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - Paul W Price
- Office of Regulatory Affairs, Division of Allergy, Immunology, and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - Lanyn P Taliaferro
- Radiation and Nuclear Countermeasures Program (RNCP), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
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8
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Taliaferro LP, DiCarlo AL, Satyamitra MM. NIH Policies and Regulatory Pathways for the Advancement of Radiation Medical Countermeasures and Biodosimetry Tools to U.S. FDA Licensure. Radiat Res 2021; 197:475645. [PMID: 34919721 PMCID: PMC9762489 DOI: 10.1667/rade-21-00206.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 11/17/2021] [Indexed: 11/03/2022]
Affiliation(s)
- Lanyn P. Taliaferro
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - Andrea L. DiCarlo
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - Merriline M. Satyamitra
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), United States Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
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Ainsbury EA, Moquet J, Sun M, Barnard S, Ellender M, Lloyd D. The future of biological dosimetry in mass casualty radiation emergency response, personalized radiation risk estimation and space radiation protection. Int J Radiat Biol 2021; 98:421-427. [PMID: 34515621 DOI: 10.1080/09553002.2021.1980629] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE The aim of this brief personal, high level review is to consider the state of the art for biological dosimetry for radiation routine and emergency response, and the potential future progress in this fascinating and active field. Four areas in which biomarkers may contribute to scientific advancement through improved dose and exposure characterization, as well as potential contributions to personalized risk estimation, are considered: emergency dosimetry, molecular epidemiology, personalized medical dosimetry, and space travel. CONCLUSION Ionizing radiation biodosimetry is an exciting field which will continue to benefit from active networking and collaboration with the wider fields of radiation research and radiation emergency response to ensure effective, joined up approaches to triage; radiation epidemiology to assess long term, low dose, radiation risk; radiation protection of workers, optimization and justification of radiation for diagnosis or treatment of patients in clinical uses, and protection of individuals traveling to space.
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Affiliation(s)
- Elizabeth A Ainsbury
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, UK.,Environmental Research Group within the School of Public Health, Faculty of Medicine at Imperial College of Science, Technology and Medicine, London, UK
| | - Jayne Moquet
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, UK
| | - Mingzhu Sun
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, UK
| | - Stephen Barnard
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, UK
| | - Michele Ellender
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, UK
| | - David Lloyd
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, UK
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