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Meng X, Wen K, Zhao J, Han Y, Ghandhi SA, Kaur SP, Brenner DJ, Turner HC, Amundson SA, Lin Q. Microfluidic measurement of intracellular mRNA with a molecular beacon probe towards point-of-care radiation triage. SENSORS & DIAGNOSTICS 2024; 3:1344-1352. [PMID: 39129862 PMCID: PMC11308381 DOI: 10.1039/d4sd00079j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 06/26/2024] [Indexed: 08/13/2024]
Abstract
In large-scale radiation exposure events, the ability to triage potential victims by the received radiation dosage is crucial. This can be evaluated by radiation-induced biological changes. Radiation-responsive mRNA is a class of biomarkers that has been explored for dose-dependency with methods such as RT-qPCR. However, these methods are challenging to implement for point-of-care devices. We have designed and used molecular beacons as probes for the measurement of radiation-induced changes of intracellular mRNA in a microfluidic device towards determining radiation dosage. Our experiments, in which fixed TK6 cells labeled with a molecular beacon specific to BAX mRNA exhibited dose-dependent fluorescence in a manner consistent with RT-qPCR analysis, demonstrate that such intracellular molecular probes can potentially be used in point-of-care radiation biodosimetry. This proof of concept could readily be extended to any RNA-based test to provide direct measurements at the bedside.
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Affiliation(s)
- Xin Meng
- Department of Mechanical Engineering, Columbia University New York NY 10027 USA
| | - Kechun Wen
- Department of Mechanical Engineering, Columbia University New York NY 10027 USA
| | - Jingyang Zhao
- Department of Mechanical Engineering, Columbia University New York NY 10027 USA
| | - Yaru Han
- Department of Mechanical Engineering, Columbia University New York NY 10027 USA
| | - Shanaz A Ghandhi
- Center for Radiological Research, Columbia University Irving Medical Center New York New York 10032 USA
| | - Salan P Kaur
- Center for Radiological Research, Columbia University Irving Medical Center New York New York 10032 USA
| | - David J Brenner
- Center for Radiological Research, Columbia University Irving Medical Center New York New York 10032 USA
| | - Helen C Turner
- Center for Radiological Research, Columbia University Irving Medical Center New York New York 10032 USA
| | - Sally A Amundson
- Center for Radiological Research, Columbia University Irving Medical Center New York New York 10032 USA
| | - Qiao Lin
- Department of Mechanical Engineering, Columbia University New York NY 10027 USA
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2
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Draeger E, Roberts K, Decker RD, Bahar N, Wilson LD, Contessa J, Husain Z, Williams BB, Flood AB, Swartz HM, Carlson DJ. In Vivo Verification of Electron Paramagnetic Resonance Biodosimetry Using Patients Undergoing Radiation Therapy Treatment. Int J Radiat Oncol Biol Phys 2024; 119:292-301. [PMID: 38072322 DOI: 10.1016/j.ijrobp.2023.11.029] [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: 08/14/2023] [Revised: 09/28/2023] [Accepted: 11/19/2023] [Indexed: 01/06/2024]
Abstract
PURPOSE Electron paramagnetic resonance (EPR) biodosimetry, used to triage large numbers of individuals incidentally exposed to unknown doses of ionizing radiation, is based on detecting a stable physical response in the body that is subject to quantifiable variation after exposure. In vivo measurement is essential to fully characterize the radiation response relevant to a living tooth measured in situ. The purpose of this study was to verify EPR spectroscopy in vivo by estimating the radiation dose received in participants' teeth. METHODS AND MATERIALS A continuous wave L-band spectrometer was used for EPR measurements. Participants included healthy volunteers and patients undergoing head and neck and total body irradiation treatments. Healthy volunteers completed 1 measurement each, and patients underwent measurement before starting treatment and between subsequent fractions. Optically stimulated luminescent dosimeters and diodes were used to determine the dose delivered to the teeth to validate EPR measurements. RESULTS Seventy measurements were acquired from 4 total body irradiation and 6 head and neck patients over 15 months. Patient data showed a linear increase of EPR signal with delivered dose across the dose range tested. A linear least-squares weighted fit of the data gave a statistically significant correlation between EPR signal and absorbed dose (P < .0001). The standard error of inverse prediction (SEIP), used to assess the usefulness of fits, was 1.92 Gy for the dose range most relevant for immediate triage (≤7 Gy). Correcting for natural background radiation based on patient age reduced the SEIP to 1.51 Gy. CONCLUSIONS This study demonstrated the feasibility of using spectroscopic measurements from radiation therapy patients to validate in vivo EPR biodosimetry. The data illustrated a statistically significant correlation between the magnitude of EPR signals and absorbed dose. The SEIP of 1.51 Gy, obtained under clinical conditions, indicates the potential value of this technique in response to large radiation events.
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Affiliation(s)
- Emily Draeger
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut.
| | - Kenneth Roberts
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut
| | - Roy D Decker
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut
| | - Nina Bahar
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut
| | - Lynn D Wilson
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut
| | - Joseph Contessa
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut
| | - Zain Husain
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut
| | - Benjamin B Williams
- Department of Radiology & EPR Center, Geisel Medical School at Dartmouth, Hanover, New Hampshire
| | - Ann Barry Flood
- Department of Radiology & EPR Center, Geisel Medical School at Dartmouth, Hanover, New Hampshire
| | - Harold M Swartz
- Department of Radiology & EPR Center, Geisel Medical School at Dartmouth, Hanover, New Hampshire
| | - David J Carlson
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut.
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3
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Swartz HM, Flood AB. Rethinking the Role of Biodosimetry to Assess Risks for Acute Radiation Syndrome in Very Large Radiation Events: Reconsidering Legacy Concepts. Radiat Res 2024; 201:440-448. [PMID: 38714319 DOI: 10.1667/rade-23-00141.1] [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: 07/26/2023] [Accepted: 02/16/2024] [Indexed: 05/09/2024]
Abstract
The development of effective uses of biodosimetry in large-scale events has been hampered by residual, i.e., "legacy" thinking based on strategies that scale up from biodosimetry in small accidents. Consequently, there remain vestiges of unrealistic assumptions about the likely magnitude of victims in "large" radiation events and incomplete analyses of the logistics for making biodosimetry measurements/assessments in the field for primary triage. Elements remain from an unrealistic focus on developing methods to use biodosimetry in the initial stage of triage for a million or more victims. Based on recent events and concomitant increased awareness of the potential for large-scale events as well as increased sophistication in planning and experience in the development of biodosimetry, a more realistic assessment of the most effective roles of biodosimetry in large-scale events is urgently needed. We argue this leads to a conclusion that the most effective utilization of biodosimetry in very large events would occur in a second stage of triage, after initially winnowing the population by identifying those most in need of acute medical attention, based on calculations of geographic sites where significant exposures could have occurred. Understanding the potential roles and limitations of biodosimetry in large-scale events involving significant radiation exposure should lead to development of the most effective and useful biodosimetric techniques for each stage of triage for acute radiation syndrome injuries, i.e., based on more realistic assumptions about the underlying event and the logistics for carrying out biodosimetry for large populations.
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Affiliation(s)
- Harold M Swartz
- Department of Radiology and Dartmouth Institute of Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
- Clin-EPR, LLC, Lyme, New Hampshire
| | - Ann Barry Flood
- Department of Radiology and Dartmouth Institute of Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
- Clin-EPR, LLC, Lyme, New Hampshire
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4
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Carpenter AD, Li Y, Fatanmi OO, Wise SY, Petrus SA, Janocha BL, Cheema AK, Singh VK. Metabolomic Profiles in Tissues of Nonhuman Primates Exposed to Either Total- or Partial-Body Radiation. Radiat Res 2024; 201:371-383. [PMID: 38253059 DOI: 10.1667/rade-23-00091.1] [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: 05/18/2023] [Accepted: 09/27/2023] [Indexed: 01/24/2024]
Abstract
A complex cascade of systemic and tissue-specific responses induced by exposure to ionizing radiation can lead to functional impairment over time in the surviving population. Current methods for management of survivors of unintentional radiation exposure episodes rely on monitoring individuals over time for the development of adverse clinical symptoms due to the lack of predictive biomarkers for tissue injury. In this study, we report on changes in metabolomic and lipidomic profiles in multiple tissues of nonhuman primates (NHPs) that received either 4.0 Gy or 5.8 Gy total-body irradiation (TBI) of 60Co gamma rays, and 4.0 or 5.8 Gy partial-body irradiation (PBI) from LINAC-derived photons and were treated with a promising radiation countermeasure, gamma-tocotrienol (GT3). These include small molecule alterations that correlate with radiation effects in the jejunum, lung, kidney, and spleen of animals that either survived or succumbed to radiation toxicities over a 30-day period. Radiation-induced metabolic changes in tissues were observed in animals exposed to both doses and types of radiation, but were partially alleviated in GT3-treated and irradiated animals, with lung and spleen being most responsive. The majority of the pathways protected by GT3 treatment in these tissues were related to glucose metabolism, inflammation, and aldarate metabolism, suggesting GT3 may exert radioprotective effects in part by sparing these pathways from radiation-induced dysregulation. Taken together, the results of our study demonstrate that the prophylactic administration of GT3 results in metabolic and lipidomic shifts that likely provide an overall advantage against radiation injury. This investigation is among the first to highlight the use of a molecular phenotyping approach in a highly translatable NHP model of partial- and total-body irradiation to determine the underlying physiological mechanisms involved in the radioprotective efficacy of GT3.
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Affiliation(s)
- Alana D Carpenter
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Yaoxiang Li
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
| | - Oluseyi O Fatanmi
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Stephen Y Wise
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Sarah A Petrus
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Brianna L Janocha
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Amrita K Cheema
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
- Department of Biochemistry, Molecular and Cellular Biology, Georgetown University Medical Center, Washington DC
| | - Vijay K Singh
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
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5
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Gabriela R, Vera V, Pavel R, Helena R, Igor S, Marie D, Marketa M, Alena MF, Ales T. Discovering the Radiation Biomarkers in the Plasma of Total-Body Irradiated Leukemia Patients. Radiat Res 2024; 201:418-428. [PMID: 38315067 DOI: 10.1667/rade-23-00137.1] [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: 07/21/2023] [Accepted: 12/12/2023] [Indexed: 02/07/2024]
Abstract
The increased risk of acute large-scale radiological exposure for the world's population underlines the need for optimal radiation biomarkers. Ionizing radiation triggers a complex response by the genome, proteome, and metabolome, all of which have been reported as suitable indicators of radiation-induced damage in vivo. This study analyzed peripheral blood samples from total-body irradiation (TBI) leukemia patients through mass spectrometry (MS) to identify and quantify differentially regulated proteins in plasma before and after irradiation. In brief, samples were taken from 16 leukemic patients prior to and 24 h after TBI (2 × 2.0 Gy), processed with Tandem Mass Tag isobaric labelling kit (TMTpro-16-plex), and analyzed by MS. In parallel, label-free relative quantification was performed with a RP-nanoLC-ESI-MS/MS system in a Q-Exactive mass spectrometer. Protein identification was done in Proteome Discoverer v.2.2 platform (Thermo). Data is available via ProteomeXchange with identifier PXD043516. Using two different methods, we acquired two datasets of up-regulated (ratio ≥ 1.2) or down-regulated (ratio ≤ 0.83) plasmatic proteins 24 h after irradiation, identifying 356 and 346 proteins in the TMT-16plex and 285 and 308 label-free analyses, respectively (P ≤ 0.05). Combining the two datasets yielded 15 candidates with significant relation to gamma-radiation exposure. The majority of these proteins were associated with the inflammatory response and lipid metabolism. Subsequently, from these, five proteins showed the strongest potential as radiation biomarkers in humans (C-reactive protein, Alpha amylase 1A, Mannose-binding protein C, Phospholipid transfer protein, and Complement C5). These candidate biomarkers might have implications for practical biological dosimetry.
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Affiliation(s)
- Rydlova Gabriela
- Department of Radiobiology
- Department of Biology, Faculty of Natural Sciences, University of Hradec Králové, Czech Republic, Hradec Králové, Czech Republic
| | | | | | - Rehulkova Helena
- Department of Toxicology, Faculty of Military Health Sciences, University of Defence, Hradec Králové, Czech Republic
| | - Sirak Igor
- Department of Oncology and Radiotherapy and 4th Department of Internal Medicine - Haematology, University Hospital, Hradec Kralove, Czech Republic
| | - Davidkova Marie
- Department of Radiation Dosimetry, Nuclear Physics Institute of the Czech Academy of Sciences, Prague, Czech Republic
| | - Markova Marketa
- Department of Haematology and Blood Transfusion, University Hospital Na Bulovce, Prague, Czech Republic
| | - Myslivcova-Fucikova Alena
- Department of Biology, Faculty of Natural Sciences, University of Hradec Králové, Czech Republic, Hradec Králové, Czech Republic
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6
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Nakayama R, Anderson D, Goh VST, Fujishima Y, Yanagidate K, Ariyoshi K, Kasai K, Yoshida MA, Blakely WF, Miura T. Optimizing chemical-induced premature chromosome condensation assay for rapid estimation of high-radiation doses. RADIATION PROTECTION DOSIMETRY 2024; 200:448-458. [PMID: 38243879 DOI: 10.1093/rpd/ncad312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 11/21/2023] [Accepted: 12/06/2023] [Indexed: 01/22/2024]
Abstract
In the event of exposure to high doses of radiation, prompt dose estimation is crucial for selecting appropriate treatment modalities, such as cytokine therapy or stem cell transplantation. The chemical-induced premature chromosome condensation (PCC) method offers a simple approach for such dose estimation with significant radiation exposure, but its 48-h incubation time poses challenges for early dose assessment. In this study, we optimized the chemical-induced PCC assay for more rapid dose assessment. A sufficient number of PCC and G2/M-PCC cells were obtained after 40 h of culture for irradiated human peripheral blood up to 20 Gy. By adding caffeine (final concentration of 1 mM) at 34 h from the start of culture, G2/M-PCC index increased by 1.4-fold in 10 Gy cultures. There was also no significant difference in the G2/M-PCC ring frequency induced for doses 0 to 15 Gy between our 40-h caffeine-supplemented chemical-induced PCC method and the conventional 48-h PCC assay.
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Affiliation(s)
- Ryo Nakayama
- Department of Risk Analysis and Biodosimetry, Institute of Radiation Emergency Medicine, Hirosaki University, 66-1 Hon-cho, Hirosaki, Aomori 036-8564, Japan
- Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, 66-1 Hon-cho, Hirosaki, Aomori 036-8564, Japan
| | - Donovan Anderson
- Department of Risk Analysis and Biodosimetry, Institute of Radiation Emergency Medicine, Hirosaki University, 66-1 Hon-cho, Hirosaki, Aomori 036-8564, Japan
| | - Valerie Swee Ting Goh
- Department of Radiobiology, Singapore Nuclear Research and Safety Initiative, National University of Singapore, 1 CREATE Way, #04-01 CREATE Tower, 138602 Singapore
| | - Yohei Fujishima
- Department of Risk Analysis and Biodosimetry, Institute of Radiation Emergency Medicine, Hirosaki University, 66-1 Hon-cho, Hirosaki, Aomori 036-8564, Japan
| | - Kaito Yanagidate
- Department of Dentistry, Niigata University, 2-5274 Gakkocho-dori, Chuo-ku, Niigata, 951-8514 Niigata, Japan
| | - Kentaro Ariyoshi
- Integrated Center for Science and Humanities, Fukushima Medical University, 1 Hikarigaoka, Fukushima City, Fukushima, 960-1295 Fukushima, Japan
| | - Kosuke Kasai
- Department of Bioscience and Laboratory Medicine, Graduate School of Health Sciences, Hirosaki University, 66-1 Hon-cho, Hirosaki, Aomori 036-8564, Japan
| | | | - William F Blakely
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, 4555 South Palmer Road, Bldg. 42, Bethesda, MD 20889-5648, USA
| | - Tomisato Miura
- Department of Risk Analysis and Biodosimetry, Institute of Radiation Emergency Medicine, Hirosaki University, 66-1 Hon-cho, Hirosaki, Aomori 036-8564, Japan
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7
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Rios CI, DiCarlo AL, Harrison L, Prasanna PGS, Buchsbaum JC, Rudokas MW, Gomes L, Winters TA. Advanced Technologies in Radiation Research. Radiat Res 2024; 201:338-365. [PMID: 38453643 PMCID: PMC11046920 DOI: 10.1667/rade-24-00003.1] [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: 12/29/2023] [Accepted: 01/22/2024] [Indexed: 03/09/2024]
Abstract
The U.S. Government is committed to maintaining a robust research program that supports a portfolio of scientific experts who are investigating the biological effects of radiation exposure. On August 17 and 18, 2023, the Radiation and Nuclear Countermeasures Program, within the National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), partnered with the National Cancer Institute, NIH, the National Aeronautics and Space Administration, and the Radiation Injury Treatment Network to convene a workshop titled, Advanced Technologies in Radiation Research (ATRR), which focused on the use of advanced technologies under development or in current use to accelerate radiation research. This meeting report provides a comprehensive overview of the research presented at the workshop, which included an assembly of subject matter experts from government, industry, and academia. Topics discussed during the workshop included assessments of acute and delayed effects of radiation exposure using modalities such as clustered regularly interspaced short palindromic repeats (CRISPR) - based gene editing, tissue chips, advanced computing, artificial intelligence, and immersive imaging techniques. These approaches are being applied to develop products to diagnose and treat radiation injury to the bone marrow, skin, lung, and gastrointestinal tract, among other tissues. The overarching goal of the workshop was to provide an opportunity for the radiation research community to come together to assess the technological landscape through sharing of data, methodologies, and challenges, followed by a guided discussion with all participants. Ultimately, the organizers hope that the radiation research community will benefit from the workshop and seek solutions to scientific questions that remain unaddressed. Understanding existing research gaps and harnessing new or re-imagined tools and methods will allow for the design of studies to advance medical products along the critical path to U.S. Food and Drug Administration approval.
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Affiliation(s)
- Carmen I. Rios
- Radiation and Nuclear Countermeasures Program/Division of Allergy, Immunology, and Transplantation/National Institute of Allergy and Infectious Diseases/National Institutes of Health (NIH), Rockville, Maryland
| | - Andrea L. DiCarlo
- Radiation and Nuclear Countermeasures Program/Division of Allergy, Immunology, and Transplantation/National Institute of Allergy and Infectious Diseases/National Institutes of Health (NIH), Rockville, Maryland
| | - Lynn Harrison
- Division of Biological and Physical Sciences/National Aeronautics and Space Administration, Houston, Texas
| | - Pataje G. S. Prasanna
- Division of Cancer Treatment and Diagnosis/National Cancer Institute/NIH, Gaithersburg, Maryland
| | - Jeffrey C. Buchsbaum
- Division of Cancer Treatment and Diagnosis/National Cancer Institute/NIH, Gaithersburg, Maryland
| | - Michael W. Rudokas
- Radiation and Nuclear Countermeasures Program/Division of Allergy, Immunology, and Transplantation/National Institute of Allergy and Infectious Diseases/National Institutes of Health (NIH), Rockville, Maryland
| | - Lauren Gomes
- Radiation and Nuclear Countermeasures Program/Division of Allergy, Immunology, and Transplantation/National Institute of Allergy and Infectious Diseases/National Institutes of Health (NIH), Rockville, Maryland
| | - Thomas A. Winters
- Radiation and Nuclear Countermeasures Program/Division of Allergy, Immunology, and Transplantation/National Institute of Allergy and Infectious Diseases/National Institutes of Health (NIH), Rockville, Maryland
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Lee YH, Yoon HJ, Yang SS, Lee IK, Jo WS, Jeong SK, Oh SJ, Kim J, Lee Y, Seong KM. Lessons on harmonization of scoring criteria for dicentric chromosome assay in South Korea. Int J Radiat Biol 2024; 100:709-714. [PMID: 38394348 DOI: 10.1080/09553002.2024.2316603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 01/23/2024] [Indexed: 02/25/2024]
Abstract
PURPOSE Networking with other biodosimetry laboratories is necessary to assess the radiation exposure of many individuals in large-scale radiological accidents. The Korea biodosimetry network, K-BioDos, prepared harmonized scoring guidelines for dicentric chromosome assay to obtain homogeneous results within the network and investigated the efficiency of the guidelines. MATERIALS AND METHODS Three laboratories in K-BioDos harmonized the scoring guidelines for dicentric chromosome assay. The results of scoring dicentric chromosomes using the harmonized scoring guidelines were compared with the laboratories' results using their own methods. Feedback was collected from the scorers following the three intercomparison exercises in 3 consecutive years. RESULTS K-BioDos members showed comparable capacity to score dicentrics in the three exercises. However, the results of the K-BioDos guidelines showed no significant improvement over those of the scorers' own methods. According to the scorers, our harmonized guidelines led to more rejected metaphases and ultimately decreased the number of scorable metaphases compared with their own methods. Moreover, the scoring time was sometimes longer with the K-BioDos protocol because some scorers were not yet familiar with the guidelines, though most scorers reported that the time decreased or was unchanged. These challenges may cause low adherence to the guidelines. Most scorers expressed willingness to use the guidelines to select scorable metaphases or identify dicentrics for other biodosimetry works, whereas one did not want to use it due to the difference from their calibration curves. CONCLUSIONS We identified potential resistance to following the harmonized guidelines and received requests for more detailed methods. Our findings suggest that the harmonized criteria should be continually updated, and education and training should be provided for all scorers. These changes could allow members within the biodosimetry network to successfully collaborate and support each other in large-scale radiological accidents.
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Affiliation(s)
- Yang Hee Lee
- Laboratory of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
| | - Hyo Jin Yoon
- Laboratory of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
| | - Su San Yang
- Laboratory of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
| | - In Kyung Lee
- Korea Hydro & Nuclear Power Co, Radiation Health Institute, Seoul, Republic of Korea
| | - Wol Soon Jo
- Research Center, Dong Nam Institute of Radiological and Medical Sciences (DIRAMS), Busan, Republic of Korea
| | - Soo Kyung Jeong
- Research Center, Dong Nam Institute of Radiological and Medical Sciences (DIRAMS), Busan, Republic of Korea
| | - Su Jung Oh
- Research Center, Dong Nam Institute of Radiological and Medical Sciences (DIRAMS), Busan, Republic of Korea
| | - Jiin Kim
- Department of Medical Sciences, Graduate School, Soonchunhyang University, Asan, Republic of Korea
| | - Younghyun Lee
- Department of Medical Sciences, Graduate School, Soonchunhyang University, Asan, Republic of Korea
- Department of Biomedical Laboratory Science, College of Medical Sciences, Soonchunhyang University, Asan, Republic of Korea
| | - Ki Moon Seong
- Laboratory of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
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9
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Chen Z, Wakabayashi H, Kuroda R, Mori H, Hiromasa T, Kayano D, Kinuya S. Radiation exposure lymphocyte damage assessed by γ-H2AX level using flow cytometry. Sci Rep 2024; 14:4339. [PMID: 38383619 PMCID: PMC10881581 DOI: 10.1038/s41598-024-54986-x] [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: 05/09/2023] [Accepted: 02/19/2024] [Indexed: 02/23/2024] Open
Abstract
DNA double-strand breaks (DSBs) are considered the most relevant lesions to the DNA damage of ionizing radiation (IR), and γ-H2AX foci in peripheral blood lymphocytes are regarded as an adequate marker for DSB quantitative studies. This study aimed to investigate IR-induced DNA damage in mice through γ-H2AX fluorescence analyses by flow cytometry (FCM). The levels of γ-H2AX in CD4/CD8/B220-positive lymphocytes were quantified by FCM through mean fluorescence intensity (MFI) values. Peripheral venous blood samples were collected for evaluation, and all the control groups were restrained from irradiation. For external irradiation experiments, the dose-dependency of MFI values and temporal alternations were assessed both in vitro and in vivo. External radiation exposure damage was positively correlated with the absorbed radiation dose, and the lymphocyte recovered from damage within 3 days. I-131 sodium iodide solution (74 MBq) was injected into the mice intraperitoneally for internal irradiation experiments. Gamma counting and γH2AX foci analyses were performed at 1 h and 24 h by the group. The blood-to-blood S values (Sblood←blood) were applied for the blood-absorbed dose estimation. Internal low-dose-irradiation-induced damage was proved to recover within 24 h. The FCM method was found to be an effective way of quantitatively assessing IR-induced DNA damage.
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Affiliation(s)
- Zhuoqing Chen
- Department of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Hiroshi Wakabayashi
- Department of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan.
| | - Rie Kuroda
- Department of Pediatrics, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Hiroshi Mori
- Department of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Tomo Hiromasa
- Department of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Daiki Kayano
- Department of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Seigo Kinuya
- Department of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
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Park JI, Koo CU, Oh J, Kim IJ, Choi K, Ye SJ. Enhancing Precision in L-band Electron Paramagnetic Resonance Tooth Dosimetry: Incorporating Digital Image Processing and Radiation Therapy Plans for Geometric Correction. HEALTH PHYSICS 2024; 126:79-95. [PMID: 37948057 DOI: 10.1097/hp.0000000000001773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
ABSTRACT Following unforeseen exposure to radiation, quick dose determination is essential to prioritize potential patients that require immediate medical care. L-band electron paramagnetic resonance tooth dosimetry can be efficiently used for rapid triage as this poses no harm to the human incisor, although geometric variations among human teeth may hinder accurate dose estimation. Consequently, we propose a practical geometric correction method using a mobile phone camera. Donated human incisors were irradiated with calibrated 6-MV photon beam irradiation, and dose-response curves were developed by irradiation with a predetermined dose using custom-made poly(methyl methacrylate) slab phantoms. Three radiation treatment plans for incisors were selected and altered to suit the head phantom. The mean doses on tooth structures were calculated using a commercial treatment planning system, and the electron paramagnetic resonance signals of the incisors were measured. The enamel area was computed from camera-acquired tooth images. The relative standard uncertainty was rigorously estimated both with and without geometric correction. The effects on the electron paramagnetic resonance signal caused by axial and rotational movements of tooth samples were evaluated through finite element analysis. The mean absolute deviations of mean doses both with and without geometric correction showed marginal improvement. The average relative differences without and with geometric correction significantly decreased from 21.0% to 16.8% (p = 0.01). The geometric correction method shows potential in improving dose precision measurement with minimal delay. Furthermore, our findings demonstrated the viability of using treatment planning system doses in dose estimation for L-band electron paramagnetic resonance tooth dosimetry.
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Affiliation(s)
- Jong In Park
- Korea Research Institute of Standards and Science, 267 Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea
| | - Chang Uk Koo
- Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea
| | - Jeonghun Oh
- Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea
| | - In Jung Kim
- Korea Research Institute of Standards and Science, 267 Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea
| | - Kwon Choi
- Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea
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11
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Kwak SY, Park JH, Won HY, Jang H, Lee SB, Jang WI, Park S, Kim MJ, Shim S. CXCL10 upregulation in radiation-exposed human peripheral blood mononuclear cells as a candidate biomarker for rapid triage after radiation exposure. Int J Radiat Biol 2024; 100:541-549. [PMID: 38227479 DOI: 10.1080/09553002.2023.2295300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 11/13/2023] [Indexed: 01/17/2024]
Abstract
PURPOSE In case of a nuclear accident, individuals with high-dose radiation exposure (>1-2 Gy) should be rapidly identified. While ferredoxin reductase (FDXR) was recently suggested as a radiation-responsive gene, the use of a single gene biomarker limits radiation dose assessment. To overcome this limitation, we sought to identify reliable radiation-responsive gene biomarkers. MATERIALS AND METHODS Peripheral blood mononuclear cells (PBMCs) were isolated from mice after total body irradiation, and gene expression was analyzed using a microarray approach to identify radiation-responsive genes. RESULTS In light of the essential role of the immune response following radiation exposure, we selected several immune-related candidate genes upregulated by radiation exposure in both mouse and human PBMCs. In particular, the expression of ACOD1 and CXCL10 increased in a radiation dose-dependent manner, while remaining unchanged following lipopolysaccharide (LPS) stimulation in human PBMCs. The expression of both genes was further evaluated in the blood of cancer patients before and after radiotherapy. CXCL10 expression exhibited a distinct increase after radiotherapy and was positively correlated with FDXR expression. CONCLUSIONS CXCL10 expression in irradiated PBMCs represents a potential biomarker for radiation exposure.
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Affiliation(s)
- Seo Young Kwak
- Korea Institute of Radiological & Medical Science, Laboratory of Radiation Exposure & Therapeutics, National Radiation Emergency Medical Center, Seoul, South Korea
| | - Ji-Hye Park
- Korea Institute of Radiological & Medical Science, Laboratory of Radiation Exposure & Therapeutics, National Radiation Emergency Medical Center, Seoul, South Korea
- OPTOLANE Technologies Inc., Seongnam, South Korea
| | | | - Hyosun Jang
- Korea Institute of Radiological & Medical Science, Laboratory of Radiation Exposure & Therapeutics, National Radiation Emergency Medical Center, Seoul, South Korea
| | - Seung Bum Lee
- Korea Institute of Radiological & Medical Science, Laboratory of Radiation Exposure & Therapeutics, National Radiation Emergency Medical Center, Seoul, South Korea
| | - Won Il Jang
- Korea Institute of Radiological & Medical Science, Laboratory of Radiation Exposure & Therapeutics, National Radiation Emergency Medical Center, Seoul, South Korea
- Department of Radiation Oncology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
| | - Sunhoo Park
- Korea Institute of Radiological & Medical Science, Laboratory of Radiation Exposure & Therapeutics, National Radiation Emergency Medical Center, Seoul, South Korea
- Department of Pathology, Korea Cancer Center Hospital, Korea Institute of Radiological & Medical Science, Seoul, South Korea
| | - Min-Jung Kim
- Korea Institute of Radiological & Medical Science, Laboratory of Radiation Exposure & Therapeutics, National Radiation Emergency Medical Center, Seoul, South Korea
| | - Sehwan Shim
- Korea Institute of Radiological & Medical Science, Laboratory of Radiation Exposure & Therapeutics, National Radiation Emergency Medical Center, Seoul, South Korea
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12
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Satyamitra MM, Cassatt DR, Molinar-Inglis O, Rios CI, Taliaferro LP, Winters TA, DiCarlo AL. The NIAID/RNCP Biodosimetry Program: An Overview. Cytogenet Genome Res 2023; 163:89-102. [PMID: 37742625 PMCID: PMC10946631 DOI: 10.1159/000534213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 09/18/2023] [Indexed: 09/26/2023] Open
Abstract
Established in 2004, the Radiation and Nuclear Countermeasures Program (RNCP), within the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health has the central mission to advance medical countermeasure mitigators/therapeutics, and biomarkers and technologies to assess, triage, and inform medical management of patients experiencing acute radiation syndrome and/or the delayed effects of acute radiation exposure. The RNCP biodosimetry mission space encompasses: (1) basic research to elucidate novel approaches for rapid and accurate assessment of radiation exposure, (2) studies to support advanced development for US Food and Drug Administration (FDA) clearance of promising triage or treatment devices/approaches, (3) characterization of biomarkers and/or assays to determine degree of tissue or organ dose that can predict outcome of radiation injuries (i.e., organ failure, morbidity, and/or mortality), and (4) outreach efforts to facilitate interactions with researchers developing cutting edge biodosimetry approaches. Thus far, no biodosimetry device has been FDA cleared for use during a radiological/nuclear incident. At NIAID, advancement of radiation biomarkers and biodosimetry approaches is facilitated by a variety of funding mechanisms (grants, contracts, cooperative and interagency agreements, and Small Business Innovation Research awards), with the objective of advancing devices and assays toward clearance, as outlined in the FDA's Radiation Biodosimetry Medical Countermeasure Devices Guidance. The ultimate goal of the RNCP biodosimetry program is to develop and establish accurate and reliable biodosimetry tools that will improve radiation preparedness and ultimately save lives during a radiological or nuclear incident.
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Affiliation(s)
- Merriline M Satyamitra
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), U.S. Department of Health and Human Services (HHS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, Maryland, USA
| | - David R Cassatt
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), U.S. Department of Health and Human Services (HHS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, Maryland, USA
| | - Olivia Molinar-Inglis
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), U.S. Department of Health and Human Services (HHS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, Maryland, USA
| | - Carmen I Rios
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), U.S. Department of Health and Human Services (HHS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, Maryland, USA
| | - Lanyn P Taliaferro
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), U.S. Department of Health and Human Services (HHS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, Maryland, USA
| | - Thomas A Winters
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), U.S. Department of Health and Human Services (HHS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, Maryland, USA
| | - Andrea L DiCarlo
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), U.S. Department of Health and Human Services (HHS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, Maryland, USA
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13
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Wilkins RC, Beaton-Green LA. Development of high-throughput systems for biodosimetry. RADIATION PROTECTION DOSIMETRY 2023; 199:1477-1484. [PMID: 37721060 PMCID: PMC10720693 DOI: 10.1093/rpd/ncad060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 01/24/2023] [Accepted: 02/08/2023] [Indexed: 09/19/2023]
Abstract
Biomarkers for ionising radiation exposure have great utility in scenarios where there has been a potential exposure and physical dosimetry is missing or in dispute, such as for occupational and accidental exposures. Biomarkers that respond as a function of dose are particularly useful as biodosemeters to determine the dose of radiation to which an individual has been exposed. These dose measurements can also be used in medical scenarios to track doses from medical exposures and even have the potential to identify an individual's response to radiation exposure that could help tailor treatments. The measurement of biomarkers of exposure in medicine and for accidents, where a larger number of samples would be required, is limited by the throughput of analysis (i.e. the number of samples that could be processed and analysed), particularly for microscope-based methods, which tend to be labour-intensive. Rapid analysis in an emergency scenario, such as a large-scale accident, would provide dose estimates to medical practitioners, allowing timely administration of the appropriate medical countermeasures to help mitigate the effects of radiation exposure. In order to improve sample throughput for biomarker analysis, much effort has been devoted to automating the process from sample preparation through automated image analysis. This paper will focus mainly on biological endpoints traditionally analysed by microscopy, specifically dicentric chromosomes, micronuclei and gamma-H2AX. These endpoints provide examples where sample throughput has been improved through automated image acquisition, analysis of images acquired by microscopy, as well as methods that have been developed for analysis using imaging flow cytometry.
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Affiliation(s)
- Ruth C Wilkins
- Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa K1A 1C1, Canada
| | - Lindsay A Beaton-Green
- Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa K1A 1C1, Canada
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14
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Cai LH, Chen XY, Qian W, Liu CC, Yuan LJ, Zhang L, Nie C, Liu Z, Li Y, Li T, Liu MH. DDB2 and MDM2 genes are promising markers for radiation diagnosis and estimation of radiation dose independent of trauma and burns. Funct Integr Genomics 2023; 23:294. [PMID: 37688632 DOI: 10.1007/s10142-023-01222-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/11/2023]
Abstract
In the field of biodosimetry, the current accepted method for evaluating radiation dose fails to meet the need of rapid, large-scale screening, and most RNA marker-related studies of biodosimetry are concentrating on a single type of ray, while some other potential factors, such as trauma and burns, have not been covered. Microarray datasets that contain the data of human peripheral blood samples exposed to X-ray, neutron, and γ-ray radiation were obtained from the GEO database. Totally, 33 multi-type ray co-induced genes were obtained at first from the differentially expressed genes (DEGs) and key genes identified by weighted gene co-expression network analysis (WGCNA), and these genes were mainly enriched in DNA damage, cellular apoptosis, and p53 signaling pathway. Following transcriptome sequencing of blood samples from 11 healthy volunteers, 13 patients with severe burns, and 37 patients with severe trauma, 6635 trauma-related DEGs and 7703 burn-related DEGs were obtained. Through the exclusion method, a total of 12 radiation-specific genes independent of trauma and burns were identified. ROC curve analysis revealed that the DDB2 gene performed the best in diagnosis of all three types of ray radiation, while correlation analysis showed that the MDM2 gene was the best in assessment of radiation dose. The results of multiple-linear regression analysis indicated that such analysis could improve the accuracy in assessment of radiation dose. Moreover, the DDB2 and MDM2 genes remained effective in radiation diagnosis and assessment of radiation dose in an external dataset. In general, the study brings new insights into radiation biodosimetry.
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Affiliation(s)
- Ling-Hu Cai
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Xiang-Yu Chen
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Wei Qian
- Institute of Burn Research, Southwest Hospital, State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400038, People's Republic of China
| | - Chuan-Chuan Liu
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Li-Jia Yuan
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Liang Zhang
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Chao Nie
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Zhen Liu
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China
| | - Yue Li
- Institute of Burn Research, Southwest Hospital, State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, 400038, People's Republic of China
| | - Tian Li
- School of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Ming-Hua Liu
- Department of Emergency Medicine, Southwest Hospital, Army Medical University, 30 Main Street, Gaotan Rock, Chongqing, 400038, People's Republic of China.
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15
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Martello S, Bylicky MA, Shankavaram U, May JM, Chopra S, Sproull M, Scott KMK, Aryankalayil MJ, Coleman CN. Comparative Analysis of miRNA Expression after Whole-Body Irradiation Across Three Strains of Mice. Radiat Res 2023; 200:266-280. [PMID: 37527359 PMCID: PMC10635637 DOI: 10.1667/rade-23-00007.1] [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: 01/20/2023] [Accepted: 06/19/2023] [Indexed: 08/03/2023]
Abstract
Whole- or partial-body exposure to ionizing radiation damages major organ systems, leading to dysfunction on both acute and chronic timescales. Radiation medical countermeasures can mitigate acute damages and may delay chronic effects when delivered within days after exposure. However, in the event of widespread radiation exposure, there will inevitably be scarce resources with limited countermeasures to distribute among the affected population. Radiation biodosimetry is necessary to separate exposed from unexposed victims and determine those who requires the most urgent care. Blood-based, microRNA signatures have great potential for biodosimetry, but the affected population in such a situation will be genetically heterogeneous and have varying miRNA responses to radiation. Thus, there is a need to understand differences in radiation-induced miRNA expression across different genetic backgrounds to develop a robust signature. We used inbred mouse strains C3H/HeJ and BALB/c mice to determine how accurate miRNA in blood would be in developing markers for radiation vs. no radiation, low dose (1 Gy, 2 Gy) vs. high dose (4 Gy, 8 Gy), and high risk (8 Gy) vs. low risk (1 Gy, 2 Gy, 4 Gy). Mice were exposed to whole-body doses of 0 Gy, 1 Gy, 2 Gy, 4 Gy, or 8 Gy of X rays. MiRNA expression changes were identified using NanoString nCounter panels on blood RNA collected 1, 2, 3 or 7 days postirradiation. Overall, C3H/HeJ mice had more differentially expressed miRNAs across all doses and timepoints than BALB/c mice. The highest amount of differential expression occurred at days 2 and 3 postirradiation for both strains. Comparison of C3H/HeJ and BALB/c expression profiles to those previously identified in C57BL/6 mice revealed 12 miRNAs that were commonly expressed across all three strains, only one of which, miR-340-5p, displayed a consistent regulation pattern in all three miRNA data. Notably multiple Let-7 family members predicted high-dose and high-risk radiation exposure (Let-7a, Let-7f, Let-7e, Let-7g, and Let-7d). KEGG pathway analysis demonstrated involvement of these predicted miRNAs in pathways related to: Fatty acid metabolism, Lysine degradation and FoxO signaling. These findings indicate differences in the miRNA response to radiation across various genetic backgrounds, and highlights key similarities, which we exploited to discover miRNAs that predict radiation exposure. Our study demonstrates the need and the utility of including multiple animal strains in developing and validating biodosimetry diagnostic signatures. From this data, we developed highly accurate miRNA signatures capable of predicting exposed and unexposed subjects within a genetically heterogeneous population as quickly as 24 h of exposure to radiation.
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Affiliation(s)
- Shannon Martello
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
| | - Michelle A. Bylicky
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
| | - Uma Shankavaram
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
| | - Jared M. May
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
| | - Sunita Chopra
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
| | - Mary Sproull
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
| | - Kevin MK Scott
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
| | - Molykutty J. Aryankalayil
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
| | - C. Norman Coleman
- Radiation Oncology Branch, Center for Cancer, National Institutes of Health, Rockville, Maryland 20850
- Radiation Research Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland 20850
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16
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Nemzow L, Boehringer T, Bacon B, Turner HC. Development of a human peripheral blood ex vivo model for rapid protein biomarker detection and applications to radiation biodosimetry. PLoS One 2023; 18:e0289634. [PMID: 37561730 PMCID: PMC10414586 DOI: 10.1371/journal.pone.0289634] [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: 12/09/2022] [Accepted: 07/21/2023] [Indexed: 08/12/2023] Open
Abstract
In the event of a widespread radiological incident, thousands of people may be exposed to a wide range of ionizing radiation. In this unfortunate scenario, there will be a need to quickly screen a large number of people to assess the amount of radiation exposure and triage for medical treatment. In our earlier work, we previously identified and validated a panel of radiosensitive protein biomarkers in blood leukocytes, using the humanized-mouse and non-human primate (NHP) models. The objective of this work was to develop a high-throughput imaging flow-cytometry (IFC) based assay for the rapid measurement of protein biomarker expression in human peripheral blood samples irradiated ex vivo. In this assay design, peripheral human blood samples from healthy adult donors were exposed to 0-5 Gy X-irradiation ex vivo and cultured for up to 2 days. Samples were stained with a cocktail of surface antigens (CD66b, CD20, and CD3), fixed and permeabilized, and intracellularly stained for BAX (Bcl-2-associated X) protein, used here as a representative biomarker. Samples were interrogated by IFC, and a uniform analysis template was created to measure biomarker expression in heterogeneous and specific leukocyte subtype populations at each time point. In this human blood ex vivo model, we show that within gated populations of leukocyte subtypes, B-cells are highly radiosensitive with the smallest surviving fraction, followed by T-cells and granulocytes. Dose-dependent biomarker responses were measured in the lymphocytes, B-, and T-cell populations, but not in the granulocytes, with dose-response curves showing increasing fold changes in BAX protein expression up to Day 2 in lymphocyte populations. We present here the successful use of this ex vivo model for the development of radiation dose-response curves of a candidate protein biomarker towards future applications of dose reconstruction and biodosimetry.
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Affiliation(s)
- Leah Nemzow
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Thomas Boehringer
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Bezalel Bacon
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Helen C. Turner
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America
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17
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Liu Z, Cologne J, Amundson SA, Noda A. Candidate biomarkers and persistent transcriptional responses after low and high dose ionizing radiation at high dose rate. Int J Radiat Biol 2023; 99:1853-1864. [PMID: 37549410 PMCID: PMC10845127 DOI: 10.1080/09553002.2023.2241897] [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: 04/12/2023] [Revised: 06/26/2023] [Accepted: 07/10/2023] [Indexed: 08/09/2023]
Abstract
PURPOSE Development of an integrated time and dose model to explore the dynamics of gene expression alterations and identify biomarkers for biodosimetry following low- and high-dose irradiations at high dose rate. MATERIAL AND METHODS We utilized multiple transcriptome datasets (GSE8917, GSE43151, and GSE23515) from Gene Expression Omnibus (GEO) for identifying candidate biological dosimeters. A linear mixed-effects model with random intercept was used to explore the dose-time dynamics of transcriptional responses and to functionally characterize the time- and dose-dependent changes in gene expression. RESULTS We identified genes that are correlated with dose and time and discovered two clusters of genes that are either positively or negatively correlated with both dose and time based on the parameters of the model. Genes in these two clusters may have persistent transcriptional alterations. Twelve potential transcriptional markers for dosimetry-ARHGEF3, BAX, BBC3, CCDC109B, DCP1B, DDB2, F11R, GADD45A, GSS, PLK3, TNFRSF10B, and XPC were identified. Of these genes, BAX, GSS, and TNFRSF10B are positively associated with both dose and time course, have a persistent transcriptional response, and might be better biological dosimeters. CONCLUSIONS With the proposed approach, we may identify candidate biomarkers that change monotonically in relation to dose, have a persistent transcriptional response, and are reliable over a wide dose range.
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Affiliation(s)
- Zhenqiu Liu
- Department of Statistics, Radiation Effects Research Foundation, Hiroshima, Japan
| | - John Cologne
- Department of Statistics, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Sally A. Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, New York City, NY, USA
| | - Asao Noda
- Department of Molecular Biosciences, Radiation Effects Research Foundation, Hiroshima, Japan
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18
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Li S, Cai TJ, Lu X, Tian M, Liu QJ. Effects of cyclophosphamide and mitomycin C on radiation-induced transcriptional biomarkers in human lymphoblastoid cells. Int J Radiat Biol 2023; 99:1948-1960. [PMID: 37530590 DOI: 10.1080/09553002.2023.2241907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/10/2023] [Accepted: 07/19/2023] [Indexed: 08/03/2023]
Abstract
PURPOSE Ionizing radiation (IR)-induced transcriptional changes are considered a potential biodosimetry for dose evaluation and health risk monitoring of acute or chronic radiation exposure. It is crucial to understand the impact of confounding factors on the radiation-responsive gene expressions for accurate and reproducible dose assessment. This study aims to explore the potential influence of exposures to chemotherapeutic agents such as cyclophosphamide (CP) and mitomycin C (MMC) on IR-induced transcriptional biomarkers. METHODS The human B lymphoblastoid cells (AHH-1) were exposed to 0, 20, 50, 100, 200 and 500 μg/ml CP or 0, 0.025, 0.05, 0.1 and 1 μg/ml MMC, respectively. The appropriate concentrations of CP and MMC were added for 1 h before irradiation with 0, 2, 4 and 6 Gy of 60Co γ-rays at a dose rate of 1 Gy/min. Cell viability was evaluated by CCK-8 assay. The gene expression responses of 18 radiation-induced transcriptional biomarkers were examined at 24 h after exposures to CP and MMC, respectively. The expression levels of five crucial DNA interstrand crosslinks (ICLs) repair genes were also evaluated. The biodosimetry models were established based on the specific radiation-responsive gene combinations. RESULTS The baseline transcriptional levels of the 18 selected genes were slightly affected by CP treatment in the absence of IR, while the transcript responses to IR could be inhibited as the concentration of CP up to 50 μg/ml. MMC treatment up-regulated the background levels in most radiation-responsive gene expressions. Of 18 genes, only the relative mRNA expression levels of CDKN1A and BBC3 were repressed after treatment with IR and MMC in combination. The relative mRNA level of RAD51 was significantly up-regulated after exposure to CP, while the expression of FANCD2, RAD51 and BLM showed an overall increase in response to MMC treatment. After irradiation, the relative mRNA expression levels of FANCD2, BRCA2 and RAD51 exhibited dose-dependent increases in IR alone and MMC treatment groups. In addition, the biodosimetry models were established using 2-4 radiation-responsive genes based on different radiation exposure scenarios. CONCLUSION Our findings suggested that IR-induced gene expression changes were slightly affected after exposure to a relatively low concentration of CP and MMC. Gene expression combinations might improve the broad applicability of transcriptional biodosimetry across diverse radiation exposures.
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Affiliation(s)
- Shuang Li
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
| | - Tian-Jing Cai
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
| | - Xue Lu
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
| | - Mei Tian
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
| | - Qing-Jie Liu
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
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19
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Lacombe J, Summers AJ, Khanishayan A, Khorsandian Y, Hacey I, Blackson W, Zenhausern F. Paper-Based Vertical Flow Immunoassay for the Point-of-Care Multiplex Detection of Radiation Dosimetry Genes. Cytogenet Genome Res 2023; 163:178-186. [PMID: 37369178 PMCID: PMC10751381 DOI: 10.1159/000531702] [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: 12/24/2022] [Accepted: 06/18/2023] [Indexed: 06/29/2023] Open
Abstract
In a nuclear or radiological incident, first responders must quickly and accurately measure radiation exposure among civilians as medical countermeasures are radiation dose-dependent and time-sensitive. Although several approaches have been explored to measure absorbed radiation dose, there is an important need to develop point-of-care (POC) bioassay devices that can be used immediately to triage thousands of individuals potentially exposed to radiation. Here we present a proof-of-concept study showing the use of a paper-based vertical flow immunoassay (VFI) to detect radiation dosimetry genes. Using labeled primers during amplification and a multiplex membrane, our results showed that the nucleic acid VFI can simultaneously detect two biodosimetry genes, CDKN1A and DDB2, as well as one housekeeping gene MRPS5. The assay demonstrated good linearity and precision with an inter- and intra-assay coefficient of variance <20% and <10%, respectively. Moreover, the assay showed its ability to discriminate non-irradiated controls (0 Gy) from irradiated samples (1 + 2 Gy) with an overall sensitivity of 62.5% and specificity of 100% (AUC = 0.8672, 95% CI: 0.723-1.000; p = 0.004). Interestingly, the gene combination also showed a dose-dependent response for 0, 1, and 2 Gy, similar to data obtained by real-time PCR benchmark. These preliminary results suggest that a VFI platform can be used to detect simultaneously multiple genes that can be then quantified, thus offering a new approach for a POC biodosimetry assay that could be rapidly deployed on-site to test a large population and help triage and medical management after radiological event.
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Affiliation(s)
- Jerome Lacombe
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Basic Medical Sciences, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Alexander J. Summers
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Ashkan Khanishayan
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Yasaman Khorsandian
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Isabella Hacey
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Wyatt Blackson
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Frederic Zenhausern
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Basic Medical Sciences, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Biomedical Engineering, College of Engineering, University of Arizona, Tucson, AZ, USA
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20
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Mukherjee P, Kumar K, Babu B, Purkayastha J, Chandna S. Alterations in the expression pattern of RBC membrane associated proteins (RMAPs) in whole body γ-irradiated Sprague Dawley rats. Int J Radiat Biol 2023; 99:1724-1737. [PMID: 37315317 DOI: 10.1080/09553002.2023.2219726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 05/24/2023] [Accepted: 05/24/2023] [Indexed: 06/16/2023]
Abstract
PURPOSE Peripheral blood serum/plasma proteins are frequently studied for their potential use as radiation exposure biomarkers. Here we report RBC membrane associated proteins (RMAPs), which show alterations in expression level following whole-body γ-irradiation of rats at sub-lethal/lethal doses. MATERIALS AND METHODS RBCs from peripheral blood of Sprague Dawley rats were segregated using the Ficoll-Hypaque method, and membrane fractions were hypotonically isolated at various time points (6 h, 24 h, 48 h) after γ-irradiation at 2 Gy, 5 Gy, and 7.5 Gy doses. Following purification of proteins from these fractions, two-dimensional electrophoresis (2-DE) was carried out. Treatment induced differentially expressed protein spots (≥2 fold increase/decrease) were picked up, trypsinized, and identified using LC-MS/MS analysis. Western immunoblots using protein specific antibodies were used to confirm the results. Gene ontology and interactions of these proteins were also studied. RESULTS From a number of differentially expressed radiation-responsive 2-DE protein spots detected, eight were identified unequivocally using LC-MS/MS. Out of these, actin, cytoplasmic 1 (ACTB) showed detectable yet insignificant variation (<50%) in expression. In contrast, peroxiredoxin-2 (PRDX2) and 26S proteasome regulatory subunit RPN11 (PSMD14) were the two most prominently over-expressed proteins. Five more proteins, namely tropomyosin alpha-3 chain (TPM3), exosome component 6 (EXOSC6), isoform 4 of tropomyosin alpha-1 chain (TPM1), serum albumin (ALB), and the 55 kDa erythrocyte membrane protein (P55) showed distinct alteration in their expression at different time-points and doses. ALB, EXOSC6, and PSMD14 were the most responsive at 2 Gy, albeit at different time-points. While EXOSC6 and PSMD14 showed maximum over-expression (5-12 fold) at 6 h post-irradiation, ALB expression increased progressively (4 up to 7 fold) from 6 h to 48 h. TPM1 showed over-expression (2-3 fold) at all doses and time-points tested. TPM3 showed a dose-dependent response at all time-points studied; with no variation at 2 Gy, ∼2 fold increase at 5 Gy, and 3-6 fold at the highest dose used (7.5 Gy). The p55 protein was over-expressed (∼2.5 fold) only transiently at 24 h following the lethal (7.5 Gy) dose. CONCLUSION This is the first study to report γ-radiation induced alterations in the RBC membrane associated proteins. We are further evaluating the potential of these proteins as radiation biomarkers. Due to the abundance and easy use of RBCs, this approach can prove very useful for detecting ionizing radiation exposure.
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Affiliation(s)
- Prabuddho Mukherjee
- Division of Molecular & Radiation Biosciences, Institute of Nuclear Medicine and Allied Sciences, DRDO, Brig. S K Majumdar Marg, Timarpur, Delhi, India
| | - Kamendra Kumar
- Division of Molecular & Radiation Biosciences, Institute of Nuclear Medicine and Allied Sciences, DRDO, Brig. S K Majumdar Marg, Timarpur, Delhi, India
| | - Bincy Babu
- Division of Molecular & Radiation Biosciences, Institute of Nuclear Medicine and Allied Sciences, DRDO, Brig. S K Majumdar Marg, Timarpur, Delhi, India
| | - Jubilee Purkayastha
- Division of Molecular & Radiation Biosciences, Institute of Nuclear Medicine and Allied Sciences, DRDO, Brig. S K Majumdar Marg, Timarpur, Delhi, India
| | - Sudhir Chandna
- Division of Molecular & Radiation Biosciences, Institute of Nuclear Medicine and Allied Sciences, DRDO, Brig. S K Majumdar Marg, Timarpur, Delhi, India
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21
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Aryankalayil M, Bylicky MA, Chopra S, Dalo J, Scott K, Ueda Y, Coleman CN. Biomarkers for Biodosimetry and Their Role in Predicting Radiation Injury. Cytogenet Genome Res 2023; 163:103-109. [PMID: 37285811 PMCID: PMC10946629 DOI: 10.1159/000531444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 06/06/2023] [Indexed: 06/09/2023] Open
Abstract
Radiation-related normal tissue injury sustained during cancer radiotherapy or in a radiological or mass casualty nuclear incident is a major health concern. Reducing the risk and mitigating consequences of radiation injury could have a broad impact on cancer patients and citizens. Efforts to discover biomarkers that can determine radiation dose, predict tissue damage, and aid medical triage are underway. Exposure to ionizing radiation causes changes in gene, protein, and metabolite expression that needs to be understood to provide a holistic picture for treating acute and chronic radiation-induced toxicities. We present evidence that both RNA (mRNA, microRNA, long noncoding RNA) and metabolomic assays may provide useful biomarkers of radiation injury. RNA markers may provide information on early pathway alterations after radiation injury that can predict damage and implicate downstream targets for mitigation. In contrast, metabolomics is impacted by changes in epigenetics, genetics, and proteomics and can be considered a downstream marker that incorporates all these changes to provide an assessment of what is currently happening within an organ. We highlight research from the past 10 years to understand how biomarkers may be used to improve personalized medicine in cancer therapy and medical decision-making in mass casualty scenarios.
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Affiliation(s)
- Molykutty Aryankalayil
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Michelle A Bylicky
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA,
| | - Sunita Chopra
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Juan Dalo
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Kevin Scott
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Yuki Ueda
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - C Norman Coleman
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
- Radiation Research Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
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22
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Vijayalakshmi J, Chaurasia RK, Srinivas KS, Vijayalakshmi K, Paul SF, Bhat N, Sapra B. Establishment of ex vivo calibration curve for X-ray induced "dicentric + ring" and micronuclei in human peripheral lymphocytes for biodosimetry during radiological emergencies, and validation with dose blinded samples. Heliyon 2023; 9:e17068. [PMID: 37484390 PMCID: PMC10361230 DOI: 10.1016/j.heliyon.2023.e17068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/31/2023] [Accepted: 06/06/2023] [Indexed: 07/25/2023] Open
Abstract
In the modern developing society, application of radiation has increased extensively. With significant improvement in the radiation protection practices, exposure to human could be minimized substantially, but cannot be avoided completely. Assessment of exposure is essential for regulatory decision and medical management as applicable. Until now, cytogenetic changes have served as surrogate marker of radiation exposure and have been extensively employed for biological dose estimation of various planned and unplanned exposures. Dicentric Chromosomal Aberration (DCA) is radiation specific and is considered as gold standard, micronucleus is not very specific to radiation and is considered as an alternative method for biodosimetry. In this study dose response curves were generated for X-ray induced "dicentric + ring" and micronuclei, in lymphocytes of three healthy volunteers [2 females (age 22, 23 years) and 1 male (24 year)]. The blood samples were irradiated with X-ray using LINAC (energy 6 MV, dose rate 6 Gy/min), in the dose range of 0-5Gy. Irradiated blood samples were cultured and processed to harvest metaphases, as per standard procedures recommended by International Atomic Energy Agency. Pooled data obtained from all the three volunteers, were in agreement with Poisson distribution for "dicentric + ring", however over dispersion was observed for micronuclei. Data ("dicentric + ring" and micronuclei) were fitted by linear quadratic model of the expression Y[bond, double bond]C + αD + βD2 using Dose Estimate software, version 5.2. The data fit has resulted in linear coefficient α = 0.0006 (±0.0068) "dicentric + ring" cell-1 Gy-1 and quadratic coefficient β = 0.0619 (±0.0043) "dicentric + ring" cell-1 Gy-2 for "dicentric + ring" and linear coefficient α = 0.0459 ± (0.0038) micronuclei cell-1 Gy-1 and quadratic coefficient β = 0.0185 ± (0.0010) micronuclei cell-1 Gy-2 for micronuclei, respectively. Background frequencies for "dicentric + ring" and micronuclei were 0.0006 ± 0.0004 and 0.0077 ± 0.0012 cell-1, respectively. Established curves were validated, by reconstructing the doses of 8 dose blinded samples (4 by DCA and 4 by CBMN) using coefficients generated here. Estimated doses were within the variation of 0.9-16% for "dicentric + ring" and 21.7-31.2% for micronuclei respectively. These established curves have potential to be employed for biodosimetry of occupational, clinical and accidental exposures, for initial triage and medical management.
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Affiliation(s)
- J. Vijayalakshmi
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, India
| | - Rajesh Kumar Chaurasia
- Radiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India
- Homi Bhabha National Institute (HBNI), Mumbai, India
| | - K. Satish Srinivas
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, India
| | - K. Vijayalakshmi
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, India
| | - Solomon F.D. Paul
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, India
| | - N.N. Bhat
- Radiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India
- Homi Bhabha National Institute (HBNI), Mumbai, India
| | - B.K. Sapra
- Radiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India
- Homi Bhabha National Institute (HBNI), Mumbai, India
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23
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Vellichirammal NN, Sethi S, Avuthu N, Wise SY, Carpenter AD, Fatanmi OO, Guda C, Singh VK. Transcriptome profile changes in the jejunum of nonhuman primates exposed to supralethal dose of total- or partial-body radiation. BMC Genomics 2023; 24:274. [PMID: 37217865 DOI: 10.1186/s12864-023-09385-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 05/17/2023] [Indexed: 05/24/2023] Open
Abstract
The risk of exposure of the general public or military personnel to high levels of ionizing radiation from nuclear weapons or radiological accidents is a dire national security matter. The development of advanced molecular biodosimetry methods, those that measure biological response, such as transcriptomics, to screen large populations of radiation-exposed victims is key to improving survival outcomes during radiological mass casualty scenarios. In this study, nonhuman primates were exposed to either 12.0 Gy cobalt-60 gamma (total-body irradiation, TBI) or X-ray (partial-body irradiation, PBI) 24 h after administration of a potential radiation medical countermeasure, gamma-tocotrienol (GT3). Changes in the jejunal transcriptomic profiles in GT3-treated and irradiated animals were compared to healthy controls to assess the extent of radiation damage. No major effect of GT3 on radiation-induced transcriptome at this radiation dose was identified. About 80% of the pathways with a known activation or repression state were commonly observed between both exposures. Several common pathways activated due to irradiation include FAK signaling, CREB signaling in the neurons, phagosome formation, and G-protein coupled signaling pathway. Sex-specific differences associated with excessive mortality among irradiated females were identified in this study, including Estrogen receptor signaling. Differential pathway activation was also identified across PBI and TBI, pointing towards altered molecular response for different degrees of bone marrow sparing and radiation doses. This study provides insight into radiation-induced changes in jejunal transcriptional profiles, supporting the investigation for the identification of biomarkers for radiation injury and countermeasure efficacy.
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Affiliation(s)
| | - Sahil Sethi
- Department of Genetics, Cell Biology, and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Nagavardhini Avuthu
- Department of Genetics, Cell Biology, and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Stephen Y Wise
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Alana D Carpenter
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Oluseyi O Fatanmi
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Chittibabu Guda
- Department of Genetics, Cell Biology, and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Vijay K Singh
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
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24
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Andersson B, Langen B, Liu P, Dávila López M. Development of a machine learning framework for radiation biomarker discovery and absorbed dose prediction. Front Oncol 2023; 13:1156009. [PMID: 37256187 PMCID: PMC10225714 DOI: 10.3389/fonc.2023.1156009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/25/2023] [Indexed: 06/01/2023] Open
Abstract
Background Molecular radiation biomarkers are an emerging tool in radiation research with applications for cancer radiotherapy, radiation risk assessment, and even human space travel. However, biomarker screening in genome-wide expression datasets using conventional tools is time-consuming and underlies analyst (human) bias. Machine Learning (ML) methods can improve the sensitivity and specificity of biomarker identification, increase analytical speed, and avoid multicollinearity and human bias. Aim To develop a resource-efficient ML framework for radiation biomarker discovery using gene expression data from irradiated normal tissues. Further, to identify biomarker panels predicting radiation dose with tissue specificity. Methods A strategic search in the Gene Expression Omnibus database identified a transcriptomic dataset (GSE44762) for normal tissues radiation responses (murine kidney cortex and medulla) suited for biomarker discovery using an ML approach. The dataset was pre-processed in R and separated into train and test data subsets. High computational cost of Genetic Algorithm/k-Nearest Neighbor (GA/KNN) mandated optimization and 13 ML models were tested using the caret package in R. Biomarker performance was evaluated and visualized via Principal Component Analysis (PCA) and dose regression. The novelty of ML-identified biomarker panels was evaluated by literature search. Results Caret-based feature selection and ML methods vastly improved processing time over the GA approach. The KNN method yielded overall best performance values on train and test data and was implemented into the framework. The top-ranking genes were Cdkn1a, Gria3, Mdm2 and Plk2 in cortex, and Brf2, Ccng1, Cdkn1a, Ddit4l, and Gria3 in medulla. These candidates successfully categorized dose groups and tissues in PCA. Regression analysis showed that correlation between predicted and true dose was high with R2 of 0.97 and 0.99 for cortex and medulla, respectively. Conclusion The caret framework is a powerful tool for radiation biomarker discovery optimizing performance with resource-efficiency for broad implementation in the field. The KNN-based approach identified Brf2, Ddit4l, and Gria3 mRNA as novel candidates that have been uncharacterized as radiation biomarkers to date. The biomarker panel showed good performance in dose and tissue separation and dose regression. Further training with larger cohorts is warranted to improve accuracy, especially for lower doses.
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Affiliation(s)
- Björn Andersson
- Bioinformatics Core Facility, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Britta Langen
- Department of Radiation Oncology, Division of Molecular Radiation Biology, University of Texas (UT) Southwestern Medical Center, Dallas, TX, United States
| | - Peidi Liu
- Bioinformatics Core Facility, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Marcela Dávila López
- Bioinformatics Core Facility, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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25
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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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Sproull M, Kawai T, Krauze A, Shankavaram U, Camphausen K. Prediction of Total-Body and Partial-Body Exposures to Radiation Using Plasma Proteomic Expression Profiles. Radiat Res 2022; 198:573-581. [PMID: 36136739 PMCID: PMC9896586 DOI: 10.1667/rade-22-00074.1] [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: 04/10/2022] [Accepted: 08/18/2022] [Indexed: 02/05/2023]
Abstract
There is a need to identify new biomarkers of radiation exposure for not only systemic total-body irradiation (TBI) but also to characterize partial-body irradiation and organ specific radiation injury. In the current study, we sought to develop novel biodosimetry models of radiation exposure using TBI and organ specific partial-body irradiation to only the brain, lung or gut using a multivariate proteomics approach. Subset panels of significantly altered proteins were selected to build predictive models of radiation exposure in a variety of sample cohort configurations relevant to practical field application of biodosimetry diagnostics during future radiological or nuclear event scenarios. Female C57BL/6 mice, 8-15 weeks old, received a single total-body or partial-body dose of 2 or 8 Gy TBI or 2 or 8 Gy to only the lung or gut, or 2, 8 or 16 Gy to only the brain using a Pantak X-ray source. Plasma was collected by cardiac puncture at days 1, 3 and 7 postirradiation for total-body exposures and only the lung and brain exposures, and at days 3, 7 and 14 postirradiation for gut exposures. Plasma was then screened using the aptamer-based SOMAscan proteomic assay technology, for changes in expression of 1,310 protein analytes. A subset panel of protein biomarkers which demonstrated significant changes (P < 0.01) in expression after irradiation were used to build predictive models of radiation exposure using different sample cohorts. Model 1 compared controls vs. all pooled irradiated samples, which included TBI and all organ specific partial irradiation. Model 2 compared controls vs. TBI vs. partial irradiation (with all organ specific partial exposure pooled within the partial-irradiated group), and model 3 compared controls vs. each individual organ specific partial-body exposure separately (brain, gut and lung). Detectable values were obtained for all 1,310 proteins included in the SOMAscan assay for all samples. Each model algorithm built using a unique sample cohort was validated with a training set of samples and tested with a separate new sample series. Overall predictive accuracies of 89%, 78% and 55% resulted for models 1-3, respectively, representing novel predictive panels of radiation responsive proteomic biomarkers. Though relatively high overall predictive accuracies were achieved for models 1 and 2, all three models showed limited accuracy at differentiating between the controls and partial-irradiated body samples. In our study we were able to identify novel panels of radiation responsive proteins useful for predicting radiation exposure and to create predictive models of partial-body exposure including organ specific radiation exposures. This proof-of-concept study also illustrates the inherent physiological limitations of distinguishing between small-body exposures and the unirradiated using proteomic biomarkers of radiation exposure. As use of biodosimetry diagnostics in future mass casualty settings will be complicated by the heterogeneity of partial-body exposure received in the field, further work remains in adapting these diagnostic tools for practical use.
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Affiliation(s)
- M. Sproull
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland
| | - T Kawai
- Department of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - A Krauze
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland
| | - U Shankavaram
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland
| | - K Camphausen
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland
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27
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Vellichirammal NN, Sethi S, Pandey S, Singh J, Wise SY, Carpenter AD, Fatanmi OO, Guda C, Singh VK. Lung transcriptome of nonhuman primates exposed to total- and partial-body irradiation. MOLECULAR THERAPY. NUCLEIC ACIDS 2022; 29:584-598. [PMID: 36090752 PMCID: PMC9418744 DOI: 10.1016/j.omtn.2022.08.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 08/01/2022] [Indexed: 12/25/2022]
Abstract
The focus of radiation biodosimetry has changed recently, and a paradigm shift for using molecular technologies of omic platforms in addition to cytogenetic techniques has been observed. In our study, we have used a nonhuman primate model to investigate the impact of a supralethal dose of 12 Gy radiation on alterations in the lung transcriptome. We used 6 healthy and 32 irradiated animal samples to delineate radiation-induced changes. We also used a medical countermeasure, γ-tocotrienol (GT3), to observe any changes. We demonstrate significant radiation-induced changes in the lung transcriptome for total-body irradiation (TBI) and partial-body irradiation (PBI). However, no major influence of GT3 on radiation was noted in either comparison. Several common signaling pathways, including PI3K/AKT, GADD45, and p53, were upregulated in both exposures. TBI activated DNA-damage-related pathways in the lungs, whereas PTEN signaling was activated after PBI. Our study highlights the various transcriptional profiles associated with γ- and X-ray exposures, and the associated pathways include LXR/RXR activation in TBI, whereas pulmonary wound-healing and pulmonary fibrosis signaling was repressed in PBI. Our study provides important insights into the molecular pathways associated with irradiation that can be further investigated for biomarker discovery.
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Affiliation(s)
| | - Sahil Sethi
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Sanjit Pandey
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Jatinder Singh
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Stephen Y. Wise
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Alana D. Carpenter
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Oluseyi O. Fatanmi
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Chittibabu Guda
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Vijay K. Singh
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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28
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Zhou S, Li Y, He L, Chen M, Li W, Xiao T, Guan J, Qi Z, Wang Q, Li S, Zhou P, Wang Z. Haptoglobin is an early indicator of survival after radiation-induced severe injury and bone marrow transplantation in mice. Stem Cell Res Ther 2022; 13:461. [PMID: 36068556 PMCID: PMC9450283 DOI: 10.1186/s13287-022-03162-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 05/23/2022] [Indexed: 11/15/2022] Open
Abstract
Background Hematopoietic stem cell transplantation (HSCT) is the main treatment for acute radiation sickness, especially after fatal radiation. The determination of HSCT for radiation patients is mainly based on radiation dose, hemogram and bone marrow injury severity. This study aims to explore a better biomarker of acute radiation injury from the perspective of systemic immune response.
Methods C57BL/6J female mice were exposed to total body irradiation (TBI) and partial body irradiation (PBI). Changes in haptoglobin (Hp) level in plasma were shown at different doses and time points after the exposure and treatment with amifostine or bone marrow transplantation. Student’s t-test/two tailed test were used in two groups. To decide the Hp levels as a predictor of the radiation dose in TBI and PBI, multiple linear regression analysis were performed. The ability of biomarkers to identify two groups of different samples was determined by the receiver operating characteristic (ROC) curve. The results were expressed as mean ± standard deviation (SD). Significance was set at P value < 0.05, and P value < 0.01 was set as highly significant. Survival distribution was determined by log-rank test. Results In this study, we found that Hp was elevated dose-dependently in plasma in the early post-irradiation period and decreased on the second day, which can be used as a molecular indicator for early dose assessment. Moreover, we detected the second increase of Hp on the 3rd and 5th days after the lethal irradiation at 10 Gy, which was eliminated by amifostine, a radiation protection drug, while protected mice from death. Most importantly, bone marrow transplantation (BMT) on the 3rd and 5th day after 10 Gy radiation improved the 30-days survival rate, and effectively accelerated the regression of secondary increased Hp level. Conclusions Our study suggests that Hp can be used not only as an early molecule marker of radiation injury, but also as an important indicator of bone marrow transplantation therapy for radiation injury, bringing new scientific discoveries in the diagnosis and treatment of acute radiation injury from the perspective of systemic immunity. Supplementary Information The online version contains supplementary material available at 10.1186/s13287-022-03162-x.
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Affiliation(s)
- Shixiang Zhou
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Yaqiong Li
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Lexin He
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Min Chen
- Department of Radiotherapy, Nanfang Hospital, Southern Medical University, Guangzhou, 510080, China
| | - Weihong Li
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China.,Graduate Collaborative Training Base of Academy of Military Sciences, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Ting Xiao
- Department of Radiotherapy, Nanfang Hospital, Southern Medical University, Guangzhou, 510080, China
| | - Jian Guan
- Department of Radiotherapy, Nanfang Hospital, Southern Medical University, Guangzhou, 510080, China
| | - Zhenhua Qi
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Qi Wang
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Siyuan Li
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China.,Graduate Collaborative Training Base of Academy of Military Sciences, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Pingkun Zhou
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China.
| | - Zhidong Wang
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, 100850, China. .,Graduate Collaborative Training Base of Academy of Military Sciences, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
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29
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Šinkorová Z, Lierová A, Filipová A, Čížková J, Tichý A, Pejchal J, Milanová M, Vilasová Z, Andrejsová L. MITOCHONDRIA IN BIODOSIMETRY: FLOW CYTOMETRY ASSESMENT IN VITRO. RADIATION PROTECTION DOSIMETRY 2022; 198:521-526. [PMID: 36005990 DOI: 10.1093/rpd/ncac092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 02/25/2022] [Indexed: 06/15/2023]
Abstract
The JC-1 dye is widely used in apoptosis studies to monitor mitochondrial health. The probe was tested in vitro on two established cell lines and peripheral porcine blood lymphocytes after gamma irradiation (IR) to assess its potential in biodosimetric evaluation. In brief, we stained irradiated and non-irradiated cells with the JC-1 dye to determine the existing changes in mitochondrial membrane potential and monitor cell health through flow cytometry. The stage of injury in these cells was evaluated through an irradiated versus non-irradiated ratio (IVNIR), comparing the relative proportion of polarised cells containing red JC-1 aggregates. We observed a decreasing IVNIR as the radiation dose increased (i.e. 0.5; 1; 2; 4; 6; 8 and 10 Gy), performing the analysis at 4, 8 and 24 h after IR in all the tested cells. The results from the JC1-dye test showed that CD4 T lymphocytes were more sensitive to irradiation than other subpopulations.
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Affiliation(s)
- Zuzana Šinkorová
- Department of Radiobiology, University of Defence, 500 01 Hradec Králové, Czech Republic
| | - Anna Lierová
- Department of Radiobiology, University of Defence, 500 01 Hradec Králové, Czech Republic
| | - Alžběta Filipová
- Department of Radiobiology, University of Defence, 500 01 Hradec Králové, Czech Republic
| | - Jana Čížková
- Department of Radiobiology, University of Defence, 500 01 Hradec Králové, Czech Republic
| | - Aleš Tichý
- Department of Radiobiology, University of Defence, 500 01 Hradec Králové, Czech Republic
| | - Jaroslav Pejchal
- Department of Toxicology and Military Pharmacy, Faculty of Military Health Sciences, University of Defence, 500 01 Hradec Králové, Czech Republic
| | - Marcela Milanová
- Department of Radiobiology, University of Defence, 500 01 Hradec Králové, Czech Republic
| | - Zdena Vilasová
- Department of Clinical Discipline, Faculty of Health Studies, University of Pardubice, 532 10 Pardubice, Czech Republic
| | - Lenka Andrejsová
- Department of Radiobiology, University of Defence, 500 01 Hradec Králové, Czech Republic
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30
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Cross-platform validation of a mouse blood gene signature for quantitative reconstruction of radiation dose. Sci Rep 2022; 12:14124. [PMID: 35986207 PMCID: PMC9391341 DOI: 10.1038/s41598-022-18558-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 08/16/2022] [Indexed: 11/08/2022] Open
Abstract
In the search for biological markers after a large-scale exposure of the human population to radiation, gene expression is a sensitive endpoint easily translatable to in-field high throughput applications. Primarily, the ex-vivo irradiated healthy human blood model has been used to generate available gene expression datasets. This model has limitations i.e., lack of signaling from other irradiated tissues and deterioration of blood cells cultures over time. In vivo models are needed; therefore, we present our novel approach to define a gene signature in mouse blood cells that quantitatively correlates with radiation dose (at 1 Gy/min). Starting with available microarray datasets, we selected 30 radiation-responsive genes and performed cross-validation/training–testing data splits to downselect 16 radiation-responsive genes. We then tested these genes in an independent cohort of irradiated adult C57BL/6 mice (50:50 both sexes) and measured mRNA by quantitative RT-PCR in whole blood at 24 h. Dose reconstruction using net signal (difference between geometric means of top 3 positively correlated and top 4 negatively correlated genes with dose), was highly improved over the microarrays, with a root mean square error of ± 1.1 Gy in male and female mice combined. There were no significant sex-specific differences in mRNA or cell counts after irradiation.
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31
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Obrador E, Salvador-Palmer R, Villaescusa JI, Gallego E, Pellicer B, Estrela JM, Montoro A. Nuclear and Radiological Emergencies: Biological Effects, Countermeasures and Biodosimetry. Antioxidants (Basel) 2022; 11:1098. [PMID: 35739995 PMCID: PMC9219873 DOI: 10.3390/antiox11061098] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 05/26/2022] [Accepted: 05/27/2022] [Indexed: 11/17/2022] Open
Abstract
Atomic and radiological crises can be caused by accidents, military activities, terrorist assaults involving atomic installations, the explosion of nuclear devices, or the utilization of concealed radiation exposure devices. Direct damage is caused when radiation interacts directly with cellular components. Indirect effects are mainly caused by the generation of reactive oxygen species due to radiolysis of water molecules. Acute and persistent oxidative stress associates to radiation-induced biological damages. Biological impacts of atomic radiation exposure can be deterministic (in a period range a posteriori of the event and because of destructive tissue/organ harm) or stochastic (irregular, for example cell mutation related pathologies and heritable infections). Potential countermeasures according to a specific scenario require considering basic issues, e.g., the type of radiation, people directly affected and first responders, range of doses received and whether the exposure or contamination has affected the total body or is partial. This review focuses on available medical countermeasures (radioprotectors, radiomitigators, radionuclide scavengers), biodosimetry (biological and biophysical techniques that can be quantitatively correlated with the magnitude of the radiation dose received), and strategies to implement the response to an accidental radiation exposure. In the case of large-scale atomic or radiological events, the most ideal choice for triage, dose assessment and victim classification, is the utilization of global biodosimetry networks, in combination with the automation of strategies based on modular platforms.
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Affiliation(s)
- Elena Obrador
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (R.S.-P.); (B.P.); (J.M.E.)
| | - Rosario Salvador-Palmer
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (R.S.-P.); (B.P.); (J.M.E.)
| | - Juan I. Villaescusa
- Service of Radiological Protection, Clinical Area of Medical Image, La Fe University Hospital, 46026 Valencia, Spain; (J.I.V.); (A.M.)
- Biomedical Imaging Research Group GIBI230, Health Research Institute (IISLaFe), La Fe University Hospital, 46026 Valencia, Spain
| | - Eduardo Gallego
- Energy Engineering Department, School of Industrial Engineering, Polytechnic University of Madrid, 28040 Madrid, Spain;
| | - Blanca Pellicer
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (R.S.-P.); (B.P.); (J.M.E.)
| | - José M. Estrela
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (R.S.-P.); (B.P.); (J.M.E.)
| | - Alegría Montoro
- Service of Radiological Protection, Clinical Area of Medical Image, La Fe University Hospital, 46026 Valencia, Spain; (J.I.V.); (A.M.)
- Biomedical Imaging Research Group GIBI230, Health Research Institute (IISLaFe), La Fe University Hospital, 46026 Valencia, Spain
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32
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Identification of Radiation-Induced miRNA Biomarkers Using the CGL1 Cell Model System. Bioengineering (Basel) 2022; 9:bioengineering9050214. [PMID: 35621492 PMCID: PMC9137836 DOI: 10.3390/bioengineering9050214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 05/11/2022] [Accepted: 05/14/2022] [Indexed: 11/17/2022] Open
Abstract
MicroRNAs (miRNAs) have emerged as a potential class of biomolecules for diagnostic biomarker applications. miRNAs are small non-coding RNA molecules, produced and released by cells in response to various stimuli, that demonstrate remarkable stability in a wide range of biological fluids, in extreme pH fluctuations, and after multiple freeze–thaw cycles. Given these advantages, identification of miRNA-based biomarkers for radiation exposures can contribute to the development of reliable biological dosimetry methods, especially for low-dose radiation (LDR) exposures. In this study, an miRNAome next-generation sequencing (NGS) approach was utilized to identify novel radiation-induced miRNA gene changes within the CGL1 human cell line. Here, irradiations of 10, 100, and 1000 mGy were performed and the samples were collected 1, 6, and 24 h post-irradiation. Corroboration of the miRNAome results with RT-qPCR verification confirmed the identification of numerous radiation-induced miRNA expression changes at all doses assessed. Further evaluation of select radiation-induced miRNAs, including miR-1228-3p and miR-758-5p, as well as their downstream mRNA targets, Ube2d2, Ppp2r2d, and Id2, demonstrated significantly dysregulated reciprocal expression patterns. Further evaluation is needed to determine whether the candidate miRNA biomarkers identified in this study can serve as suitable targets for radiation biodosimetry applications.
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33
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Langen B, Vorontsov E, Spetz J, Swanpalmer J, Sihlbom C, Helou K, Forssell-Aronsson E. Age and sex effects across the blood proteome after ionizing radiation exposure can bias biomarker screening and risk assessment. Sci Rep 2022; 12:7000. [PMID: 35487913 PMCID: PMC9055069 DOI: 10.1038/s41598-022-10271-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/01/2022] [Indexed: 11/12/2022] Open
Abstract
Molecular biomarkers of ionizing radiation (IR) exposure are a promising new tool in various disciplines: they can give necessary information for adaptive treatment planning in cancer radiotherapy, enable risk projection for radiation-induced survivorship diseases, or facilitate triage and intervention in radiation hazard events. However, radiation biomarker discovery has not yet resolved the most basic features of personalized medicine: age and sex. To overcome this critical bias in biomarker identification, we quantitated age and sex effects and assessed their relevance in the radiation response across the blood proteome. We used high-throughput mass spectrometry on blood plasma collected 24 h after 0.5 Gy total body irradiation (15 MV nominal photon energy) from male and female C57BL/6 N mice at juvenile (7-weeks-old) or adult (18-weeks-old) age. We also assessed sex and strain effects using juvenile male and female BALB/c nude mice. We showed that age and sex created significant effects in the proteomic response regarding both extent and functional quality of IR-induced responses. Furthermore, we found that age and sex effects appeared non-linear and were often end-point specific. Overall, age contributed more to differences in the proteomic response than sex, most notably in immune responses, oxidative stress, and apoptotic cell death. Interestingly, sex effects were pronounced for DNA damage and repair pathways and associated cellular outcome (pro-survival vs. pro-apoptotic). Only one protein (AHSP) was identified as a potential general biomarker candidate across age and sex, while GMNN, REG3B, and SNCA indicated some response similarity across age. This low yield advocated that unisex or uniage biomarker screening approaches are not feasible. In conclusion, age- and sex-specific screening approaches should be implemented as standard protocol to ensure robustness and diagnostic power of biomarker candidates. Bias-free molecular biomarkers are a necessary progression towards personalized medicine and integral for advanced adaptive cancer radiotherapy and risk assessment.
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Affiliation(s)
- Britta Langen
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Section of Molecular Radiation Biology, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
| | - Egor Vorontsov
- Proteomics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Johan Spetz
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - John Swanpalmer
- Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Carina Sihlbom
- Proteomics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Khalil Helou
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eva Forssell-Aronsson
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden
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34
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Broustas CG, Mukherjee S, Pannkuk EL, Laiakis EC, Fornace AJ, Amundson SA. Effect of the p38 Mitogen-Activated Protein Kinase Signaling Cascade on Radiation Biodosimetry. Radiat Res 2022; 198:18-27. [PMID: 35353886 DOI: 10.1667/rade-21-00240.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/10/2022] [Indexed: 11/03/2022]
Abstract
Radiation biodosimetry based on transcriptomic analysis of peripheral blood is a valuable tool to detect radiation exposure after a radiological/nuclear event and obtain useful biological information that could predict tissue and organismal injury. However, confounding factors, including chronic inflammation or immune suppression, can potentially obscure the predictive power of the method. Members of the p38 mitogen-activated protein kinase (MAPK) family respond to pro-inflammatory signals and environmental stresses, whereas genetic ablation of the p38 signaling pathway in mice leads to reduced susceptibility to collagen-induced arthritis and experimental autoimmune encephalomyelitis that model human rheumatoid arthritis and multiple sclerosis, respectively. p38 is normally regulated by the MAP3K-MAP2K pathway in mammalian cells. However, in T cells there is an alternative pathway for p38 activation that plays an important role in antigen-receptor-activated T cells and participates in immune and inflammatory responses. To examine the role of p38 in response to radiation, we used two mouse models expressing either a p38α dominant negative (DN) mutation that globally suppresses p38 signaling or a p38αβ double-knock-in (DKI) mutant, which inhibits specifically T-cell receptor activation. We exposed p38 wild-type (p38WT) and mutant male mice to 7 Gy X rays and 24 h later whole blood was isolated subjected to whole-genome microarray and gene ontology analysis. Irradiation of p38WT mice led to a significant overrepresentation of pathways associated with morbidity and mortality, as well as organismal cell death. In contrast, these pathways were significantly underrepresented in p38DN and p38DKI mutant mice, suggesting that p38 attenuation may protect blood cells from the deleterious effects of radiation. Furthermore, radiation exposure in p38 mutant mice resulted in an enrichment of phagocytosis-related pathways, suggesting a role for p38 signaling in restricting phagocytosis of apoptotic cells after irradiation. Finally, despite the significant changes in gene expression, it was still feasible to identify a panel of genes that could accurately distinguish between irradiated and control mice, irrespective of p38 status.
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Affiliation(s)
- Constantinos G Broustas
- Center for Radiological Research, Columbia University Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York
| | - Sanjay Mukherjee
- Center for Radiological Research, Columbia University Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York
| | - Evan L Pannkuk
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20057
| | - Evagelia C Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20057
| | - Albert J Fornace
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20057
| | - Sally A Amundson
- Center for Radiological Research, Columbia University Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York
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35
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Wanotayan R, Wongsanit S, Boonsirichai K, Sukapirom K, Buppaungkul S, Charoenphun P, Songprakhon P, Jangpatarapongsa K, Uttayarat P. Quantification of histone H2AX phosphorylation in white blood cells induced by ex vivo gamma irradiation of whole blood by both flow cytometry and foci counting as a dose estimation in rapid triage. PLoS One 2022; 17:e0265643. [PMID: 35320288 PMCID: PMC8942256 DOI: 10.1371/journal.pone.0265643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 03/07/2022] [Indexed: 11/18/2022] Open
Abstract
A quick, reliable, and reproducible biological assay to distinguish individuals with possible life-threatening risk following radiological or nuclear incidents remains a quest in biodosimetry. In this paper, we examined the use of a γ-H2AX assay as an early dose estimation for rapid triage based on both flow cytometry and image analyses. In the experiment, whole blood from 11 donors was irradiated ex vivo inside a water phantom by gamma rays from Co-60 at 0.51 Gy/min. After the lysis of red blood cells, the white blood cells were collected for immunofluorescence labeling of γ-H2AX, CD45, and nuclear stained for signal collection and visualization. Analysis by flow cytometry showed that the relative γ-H2AX intensities of lymphocytes and granulocytes increased linearly with absorbed doses from 0 to 6 Gy with a large variation among individuals observed above 2 Gy. The relative γ-H2AX intensities of lymphocytes assessed by two different laboratories were highly correlated (ICC = 0.979). Using confocal microscopic images, γ-H2AX foci were observed to be discretely distributed inside the nuclei and to increase proportionally with doses from 0 to 2 Gy, whereas large plagues of merged foci appeared at 4 and 6 Gy, resulting in the saturation of foci counts above 4 Gy. The number of total foci per cell as well as the number of foci per plane were significantly different at 0 vs 1 and 2 vs 4 Gy doses (p < 0.01). Blind tests at 0.5 Gy and 1 Gy doses showed that dose estimation by flow cytometry had a mean absolute difference of less than 0.5 Gy from the actual value. In conclusion, while flow cytometry can provide a dose estimation with an uncertainty of 0.5 Gy at doses ≤ 1 Gy, foci counting can identify merged foci that are prominent at doses ≥ 4 Gy.
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Affiliation(s)
- Rujira Wanotayan
- Faculty of Medical Technology, Department of Radiological Technology, Mahidol University, Nakhon Pathom, Thailand
- * E-mail: , (PU); , (RW)
| | - Sarinya Wongsanit
- Nuclear Technology Research and Development Center, Thailand Institute of Nuclear Technology (Public Organization), Ongkarak, Nakhon Nayok, Thailand
| | - Kanokporn Boonsirichai
- Nuclear Technology Research and Development Center, Thailand Institute of Nuclear Technology (Public Organization), Ongkarak, Nakhon Nayok, Thailand
| | - Kasama Sukapirom
- Faculty of Medicine Siriraj Hospital, Siriraj Center of Research Excellence in Microparticle and Exosome in Diseases, Research Department, Bangkok, Thailand
| | - Sakchai Buppaungkul
- Secondary Standard Dosimetry Laboratory (SSDL), Bureau of Radiation and Medical Devices, Ministry of Public Health, Bangkok, Thailand
| | - Putthiporn Charoenphun
- Faculty of Medicine Ramathibodi Hospital, Division of Nuclear Medicine, Department of Diagnostic and Therapeutic Radiology, Mahidol University, Nakhon Pathom, Thailand
| | - Pucharee Songprakhon
- Division of Molecular Medicine, Faculty of Medicine Siriraj Hospital, Research Department, Mahidol University, Bangkok, Thailand
| | - Kulachart Jangpatarapongsa
- Faculty of Medical Technology, Center for Research and Innovation, Mahidol University, Nakhon Pathom, Thailand
| | - Pimpon Uttayarat
- Nuclear Technology Research and Development Center, Thailand Institute of Nuclear Technology (Public Organization), Ongkarak, Nakhon Nayok, Thailand
- * E-mail: , (PU); , (RW)
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36
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Transcriptomics of Wet Skin Biopsies Predict Early Radiation-Induced Hematological Damage in a Mouse Model. Genes (Basel) 2022; 13:genes13030538. [PMID: 35328091 PMCID: PMC8952434 DOI: 10.3390/genes13030538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 02/28/2022] [Accepted: 03/16/2022] [Indexed: 12/04/2022] Open
Abstract
The lack of an easy and fast radiation-exposure testing method with a dosimetric ability complicates triage and treatment in response to a nuclear detonation, radioactive material release, or clandestine exposure. The potential of transcriptomics in radiation diagnosis and prognosis were assessed here using wet skin (blood/skin) biopsies obtained at hour 2 and days 4, 7, 21, and 28 from a mouse radiation model. Analysis of significantly differentially transcribed genes (SDTG; p ≤ 0.05 and FC ≥ 2) during the first post-exposure week identified the glycoprotein 6 (GP-VI) signaling, the dendritic cell maturation, and the intrinsic prothrombin activation pathways as the top modulated pathways with stable inactivation after lethal exposures (20 Gy) and intermittent activation after sublethal (1, 3, 6 Gy) exposure time points (TPs). Interestingly, these pathways were inactivated in the late TPs after sublethal exposure in concordance with a delayed deleterious effect. Modulated transcription of a variety of collagen types, laminin, and peptidase genes underlay the modulated functions of these hematologically important pathways. Several other SDTGs related to platelet and leukocyte development and functions were identified. These results outlined genetic determinants that were crucial to clinically documented radiation-induced hematological and skin damage with potential countermeasure applications.
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37
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Characterization of γ-H2AX foci formation under alpha particle and X-ray exposures for dose estimation. Sci Rep 2022; 12:3761. [PMID: 35260639 PMCID: PMC8904799 DOI: 10.1038/s41598-022-07653-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 02/16/2022] [Indexed: 12/04/2022] Open
Abstract
DNA double-strand break (DSB) induction is one of the phenotypes of cellular damage from radiation exposure and is commonly quantified by γ-H2AX assay with the number of excess fluorescent foci per cell as the main component. However, the number of foci alone may not fully characterize the state of DNA damage following exposures to different radiation qualities. This study investigated the feasibility of utilizing the focus size distribution and dephosphorylation rate of γ-H2AX to identify the type of causative radiation and dose. Human lung epithelial cells and mouse vascular endothelial cells were used to observe the expression changes of γ-H2AX foci due to alpha particle and X-ray exposures. Results showed that the average number of excess foci per cell linearly increased with the dose. The focus size distribution showed a consistent pattern depending on the causative radiation type. Three criteria for the identification of causative radiation type were derived from experimental focus size distributions and were validated in blind testing with correct identification of 27 out of 32 samples. The dose could be estimated based on the proportionality constant specific to the identified radiation type with a difference of less than 15% from the actual value. The different dephosphorylation rates of γ-H2AX produced from alpha particle and X-ray exposures were effectively utilized to determine the individual dose contributions of alpha particles and X-rays under mixed beam exposure. Individual doses were estimated to have differences of less than ~ 12% from actual values.
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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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Abend M, Blakely WF, Ostheim P, Schuele S, Port M. Early molecular markers for retrospective biodosimetry and prediction of acute health effects. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2022; 42:010503. [PMID: 34492641 DOI: 10.1088/1361-6498/ac2434] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 09/07/2021] [Indexed: 06/13/2023]
Abstract
Radiation-induced biological changes occurring within hours and days after irradiation can be potentially used for either exposure reconstruction (retrospective dosimetry) or the prediction of consecutively occurring acute or chronic health effects. The advantage of molecular protein or gene expression (GE) (mRNA) marker lies in their capability for early (1-3 days after irradiation), high-throughput and point-of-care diagnosis, required for the prediction of the acute radiation syndrome (ARS) in radiological or nuclear scenarios. These molecular marker in most cases respond differently regarding exposure characteristics such as e.g. radiation quality, dose, dose rate and most importantly over time. Changes over time are in particular challenging and demand certain strategies to deal with. With this review, we provide an overview and will focus on already identified and used mRNA GE and protein markers of the peripheral blood related to the ARS. These molecules are examined in light of 'ideal' characteristics of a biomarkers (e.g. easy accessible, early response, signal persistency) and the validation degree. Finally, we present strategies on the use of these markers considering challenges as their variation over time and future developments regarding e.g. origin of samples, point of care and high-throughput diagnosis.
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Affiliation(s)
- M Abend
- Bundeswehr Institute of Radiobiology, Munich, Germany
| | - W F Blakely
- Armed Forces Radiobiology Research Institute, Bethesda, MD, United States of America
| | - P Ostheim
- Bundeswehr Institute of Radiobiology, Munich, Germany
| | - S Schuele
- Bundeswehr Institute of Radiobiology, Munich, Germany
| | - M Port
- Bundeswehr Institute of Radiobiology, Munich, Germany
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40
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Abstract
Biological dosimetry is an internationally recognized method for quantifying and estimating radiation dose following suspected or verified excessive exposure to ionising radiation. In severe radiation accidents where a large number of people are potentially affected, it is possible to distinguish irradiated from non-irradiated people in order to initiate appropriate medical care if necessary. In addition to severe incidents caused by technical failure, environmental disasters, military actions, or criminal abuse, there are also radiation accidents in which only one or a few individuals are affected in the frame of occupational or medical exposure. The requirements for biological dosimetry are fundamentally different for these two scenarios. In particular, for large-scale radiation accidents, pre-screening methods are necessary to increase the throughput of samples for a rough first-dose categorization. The rapid development and increasing use of omics methods in research as well as in individual applications provides new opportunities for biological dosimetry. In addition to the discovery and search for new biomarkers, dosimetry assays based on omics technologies are becoming increasingly interesting and hold great potential, especially for large-scale dosimetry. In the following review, the different areas of biological dosimetry, the problems in finding suitable biomarkers, the current status of biomarker research based on omics, the potential applications of assays using omics technologies, and also the limitations for the different areas of biological dosimetry are discussed.
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Li W, Zhou S, Jia M, Li X, Li L, Wang Q, Qi Z, Zhou P, Li Y, Wang Z. Early Biomarkers Associated with P53 Signaling for Acute Radiation Injury. LIFE (BASEL, SWITZERLAND) 2022; 12:life12010099. [PMID: 35054492 PMCID: PMC8778477 DOI: 10.3390/life12010099] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/31/2021] [Accepted: 01/01/2022] [Indexed: 01/18/2023]
Abstract
Accurate dose assessment within 1 day or even 12 h after exposure through current methods of dose estimation remains a challenge, in response to a large number of casualties caused by nuclear or radiation accidents. P53 signaling pathway plays an important role in DNA damage repair and cell apoptosis induced by ionizing radiation. The changes of radiation-induced P53 related genes in the early stage of ionizing radiation should compensate for the deficiency of lymphocyte decline and γ-H2AX analysis as novel biomarkers of radiation damage. Bioinformatic analysis was performed on previous data to find candidate genes from human peripheral blood irradiated in vitro. The expression levels of candidate genes were detected by RT-PCR. The expressions of screened DDB2, AEN, TRIAP1, and TRAF4 were stable in healthy population, but significantly up-regulated by radiation, with time specificity and dose dependence in 2–24 h after irradiation. They are early indicators for medical treatment in acute radiation injury. Their effective combination could achieve a more accurate dose assessment for large-scale wounded patients within 24 h post exposure. The effective combination of p53-related genes DDB2, AEN, TRIAP1, and TRAF4 is a novel biodosimetry for a large number of people exposed to acute nuclear accidents.
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Affiliation(s)
- Weihong Li
- Graduate Collaborative Training Base of Academy of Military Sciences, Hengyang Medical School, University of South China, Hengyang 421001, China;
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
| | - Shixiang Zhou
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
| | - Meng Jia
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
| | - Xiaoxin Li
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
| | - Lin Li
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
| | - Qi Wang
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
| | - Zhenhua Qi
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
| | - Pingkun Zhou
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
| | - Yaqiong Li
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
- Correspondence: (Y.L.); (Z.W.); Tel.: +86-10-66930294 (Y.L.); +86-10-66930248 (Z.W.)
| | - Zhidong Wang
- Graduate Collaborative Training Base of Academy of Military Sciences, Hengyang Medical School, University of South China, Hengyang 421001, China;
- Beijing Key Laboratory for Radiobiology, Department of Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, China; (S.Z.); (M.J.); (X.L.); (L.L.); (Q.W.); (Z.Q.); (P.Z.)
- Correspondence: (Y.L.); (Z.W.); Tel.: +86-10-66930294 (Y.L.); +86-10-66930248 (Z.W.)
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Hayes JM, Olson JD, Chino Y, Bourland JD, Cline JM, Johnson TE. Pseudo Pelger-Huët anomalies as potential biomarkers for acute exposure radiation dose in rhesus macaques (Macaca mulatta). Int J Radiat Biol 2021; 98:913-923. [PMID: 34699313 DOI: 10.1080/09553002.2021.1998708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE The potential for malicious use of radiation, or radiation accidents could potentially lead to acute, high radiation doses to the public. Following acute accidental exposure to high doses of radiation, medical intervention is pivotal to the survivability of the patient, and the sooner the appropriate measures are taken the better the odds for survival. Early estimates of acute accidental radiation doses can be determined via biomarkers such as dicentric chromosome analysis or scenario reconstruction using computer software. However, both take valuable time and can be expensive. Increased frequencies of abnormal neutrophils in peripheral blood, referred to as pseudo Pelger-Huët anomalies (PPHAs), have been shown to be potential biomarkers of radiation exposure in several scenarios, including the 1958 Y-12 criticality accident and the radium dial painters. PPHAs are potentially a faster and cheaper quantitative biomarker for radiation exposure, and here they were evaluated in acutely exposed rhesus macaques. METHODS AND MATERIALS Peripheral blood smears from acutely exposed rhesus macaques were evaluated for the percentage of neutrophils that displayed the PPHA morphology using light microscopy. Irradiated animals received 0 to 8.5 Gy total body radiation using one of two strategies: (1) linear accelerator-produced 6 MV photons delivered at 80 cGy/minute; or (2) Cobalt 60-produced gamma irradiation delivered at 60 cGy/min. Zero dose animals were used to determine a baseline percentage of PPHAs, and blood smears taken periodically throughout the lifetime of exposed animals post-irradiation were used to determine the persistence and biokinetics of PPHAs. RESULTS The baseline prevalence of the PPHA in rhesus macaques was determined to be 0.58 ± 0.46%. The dose-response curve with doses ranging from 0 Gy to 8.5 Gy (LD90/30) displayed a strong positive correlation between PPHA percentage and acute radiation dose (R2 of 0.88 p = 3.62 × 10-22). Statistically significant differences were found when animals were separated into dose cohorts of 0, 4, 6.4-6.5, and 8-8.5 Gy. The biokinetics model utilized only 4 Gy exposures and blood smears taken periodically over 3.1 years post-irradiation. PPHA morphology increases quickly following irradiation and appears stable over 3.1 years post-irradiation. CONCLUSION PPHA morphology was confirmed to be present in rhesus macaques, a dose-response relationship was constructed, and it is stable over 3 years post-irradiation. This study demonstrates that PPHA analysis can be a fast and cheap method of biodosimetry. Future studies will work to determine the accuracy of dose determination and lower limits of detection.
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Affiliation(s)
- Joshua M Hayes
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.,Biological Dosimetry Model Laboratory, Section of Applied Radiation Biology and Radiotherapy, Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria
| | - John D Olson
- Wake Forest School of Medicine, Department of Pathology, Section on Comparative Medicine, Winston-Salem, NC, USA
| | - Yuiko Chino
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - J Daniel Bourland
- Wake Forest School of Medicine, Department of Radiation Oncology, Winston-Salem, NC, USA
| | - J Mark Cline
- Wake Forest School of Medicine, Department of Pathology, Section on Comparative Medicine, Winston-Salem, NC, USA
| | - Thomas E Johnson
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
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Laiakis EC, Canadell MP, Grilj V, Harken AD, Garty GY, Brenner DJ, Smilenov L, Fornace AJ. Small Molecule Responses to Sequential Irradiation with Neutrons and Photons for Biodosimetry Applications: An Initial Assessment. Radiat Res 2021; 196:468-477. [PMID: 33857313 PMCID: PMC9004252 DOI: 10.1667/rade-20-00032.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 09/18/2020] [Indexed: 11/03/2022]
Abstract
Mass casualty exposure scenarios from an improvised nuclear device are expected to be far more complex than simple photons. Based on the proximity to the explosion and potential shielding, a mixed field of neutrons and photons comprised of up to approximately 30% neutrons of the total dose is anticipated. This presents significant challenges for biodosimetry and for short-term and long-term medical treatment of exposed populations. In this study we employed untargeted metabolomic methods to develop a biosignature in urine and serum from C57BL/6 mice to address radiation quality issues. The signature was developed in males and applied to samples from female mice to identify potential sex differences. Thirteen urinary (primarily amino acids, vitamin products, nucleotides) and 18 serum biomarkers (primarily mitochondrial and fatty acid β oxidation intermediates) were selected and evaluated in samples from day 1 and day 7 postirradiation. Sham-irradiated groups (controls) were compared to an equitoxic dose (3 Gy X-ray equivalent) from X rays (1.2 Gy/min), neutrons (∼1 Gy/h), or neutrons-photons. Results showed a time-dependent increase in the efficiency of the signatures, with serum providing the highest levels of accuracy in distinguishing not only between exposed from non-exposed populations, but also between radiation quality (photon exposures vs. exposures with a neutron component) and in between neutron-photon exposures (5, 15 or 25% of neutrons in the total dose) for evaluating the neutron contribution. A group of metabolites known as acylcarnitines was only responsive in males, indicating the potential for different mechanisms of action in baseline levels and of neutron-photon responses between the two sexes. Our findings highlight the potential of metabolomics in developing biodosimetric methods to evaluate mixed exposures with high sensitivity and specificity.
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Affiliation(s)
- Evagelia C. Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer
Center, Georgetown University, Washington, DC
- Department of Biochemistry and Molecular & Cellular
Biology, Georgetown University, Washington, DC
| | | | - Veljko Grilj
- Radiological Research Accelerator Facility, Columbia
University, Irvington, New York
| | - Andrew D. Harken
- Radiological Research Accelerator Facility, Columbia
University, Irvington, New York
| | - Guy Y. Garty
- Radiological Research Accelerator Facility, Columbia
University, Irvington, New York
| | - David J. Brenner
- Center for Radiological Research, Columbia University, New
York, New York
| | - Lubomir Smilenov
- Center for Radiological Research, Columbia University, New
York, New York
| | - Albert J. Fornace
- Department of Oncology, Lombardi Comprehensive Cancer
Center, Georgetown University, Washington, DC
- Department of Biochemistry and Molecular & Cellular
Biology, Georgetown University, Washington, DC
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Satyamitra M, Reyes Turcu FE, Pantoja-Galicia N, Wathen L. Challenges and Strategies in the Development of Radiation Biodosimetry Tests for Patient Management. Radiat Res 2021; 196:455-467. [PMID: 34143223 PMCID: PMC9923779 DOI: 10.1667/rade-21-00072.1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 04/28/2021] [Indexed: 11/03/2022]
Abstract
The public health and medical response to a radiological or nuclear incident requires the capability to sort, assess, treat, triage and ultimately discharge, as well as to refer or transport people to their next step in medical care. The Public Health Emergency Medical Countermeasures Enterprise (PHEMCE), directed by the U.S. Department of Health and Human Services (HHS), facilitates a comprehensive, multi-agency effort to develop and deploy radiation biodosimetry tests. Within HHS, discovery and development of biodosimetry tests includes the National Institute of Allergy and Infectious Diseases (NIAID) National Institutes of Health (NIH), the Office of the Assistant Secretary of Preparedness and Response (ASPR), Biomedical Advanced Research and Development Authority (BARDA), and the Food and Drug Administration (FDA) as primary partners in this endeavor. The study of radiation biodosimetry has advanced significantly, with expansion into the fields of cytogenetics, genomics, proteomics, metabolomics, lipidomics and transcriptomics. In addition, expansion of traditional cytogenetic assessment methods using automated platforms, and development of laboratory surge capacity networks have helped to advance biodefense preparedness. This article describes various programs and coordinating efforts between NIAID, BARDA and FDA in the development of radiation biodosimetry approaches to respond to radiological and nuclear threats.
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Affiliation(s)
- Merriline 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), U.S. Department of Health and Human Services (HHS), Rockville, Maryland 20892-9828
| | - Francisca E. Reyes Turcu
- United States Food and Drug Administration (U.S. FDA), Center for Devices and Radiological Health (CDRH), Silver Spring, Maryland 20993-0002
| | - Norberto Pantoja-Galicia
- United States Food and Drug Administration (U.S. FDA), Center for Devices and Radiological Health (CDRH), Silver Spring, Maryland 20993-0002
| | - Lynne Wathen
- Biomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response (ASPR), U.S. Department of Health and Human Services (HHS), Washington, DC 20201
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Hoffmeyer MR, Gillis K, Park JG, Murugan V, LaBaer J. Making the Case for Absorbed Radiation Response Biodosimetry - Utility of a High-Throughput Biodosimetry System. Radiat Res 2021; 196:535-546. [PMID: 33667298 DOI: 10.1667/rade-20-00029.1] [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: 01/23/2020] [Accepted: 12/21/2020] [Indexed: 11/03/2022]
Abstract
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 (RT-PCR)-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 ±1.2-1.7 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.
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Affiliation(s)
| | - Kristin Gillis
- Arizona State University, Biodesign Institute, Tempe, Arizona
| | - Jin G Park
- Arizona State University, Biodesign Institute, Tempe, Arizona
| | - Vel Murugan
- Arizona State University, Biodesign Institute, Tempe, Arizona
| | - Joshua LaBaer
- Arizona State University, Biodesign Institute, Tempe, Arizona
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Ostheim P, Amundson SA, Badie C, Bazyka D, Evans AC, Ghandhi SA, Gomolka M, López Riego M, Rogan PK, Terbrueggen R, Woloschak GE, Zenhausern F, Kaatsch HL, Schüle S, Ullmann R, Port M, Abend M. Gene expression for biodosimetry and effect prediction purposes: promises, pitfalls and future directions - key session ConRad 2021. Int J Radiat Biol 2021; 98:843-854. [PMID: 34606416 DOI: 10.1080/09553002.2021.1987571] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE In a nuclear or radiological event, an early diagnostic or prognostic tool is needed to distinguish unexposed from low- and highly exposed individuals with the latter requiring early and intensive medical care. Radiation-induced gene expression (GE) changes observed within hours and days after irradiation have shown potential to serve as biomarkers for either dose reconstruction (retrospective dosimetry) or the prediction of consecutively occurring acute or chronic health effects. The advantage of GE markers lies in their capability for early (1-3 days after irradiation), high-throughput, and point-of-care (POC) diagnosis required for the prediction of the acute radiation syndrome (ARS). CONCLUSIONS As a key session of the ConRad conference in 2021, experts from different institutions were invited to provide state-of-the-art information on a range of topics including: (1) Biodosimetry: What are the current efforts to enhance the applicability of this method to perform retrospective biodosimetry? (2) Effect prediction: Can we apply radiation-induced GE changes for prediction of acute health effects as an approach, complementary to and integrating retrospective dose estimation? (3) High-throughput and point-of-care diagnostics: What are the current developments to make the GE approach applicable as a high-throughput as well as a POC diagnostic platform? (4) Low level radiation: What is the lowest dose range where GE can be used for biodosimetry purposes? (5) Methodological considerations: Different aspects of radiation-induced GE related to more detailed analysis of exons, transcripts and next-generation sequencing (NGS) were reported.
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Affiliation(s)
- Patrick Ostheim
- Bundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany
| | - Sally A Amundson
- Center for Radiological Research, Columbia University Irving Medical Center (CUIMC), New York, NY, USA
| | - Christophe Badie
- PHE CRCE, Chilton, Didcot, Oxford, UK.,Environmental Research Group within the School of Public Health, Faculty of Medicine at Imperial College of Science, Technology and Medicine, London, UK
| | - Dimitry Bazyka
- National Research Centre for Radiation Medicine, Kyiv, Ukraine
| | - Angela C Evans
- Department of Radiation Oncology, University of California Davis, Sacramento, CA, USA
| | - Shanaz A Ghandhi
- Center for Radiological Research, Columbia University Irving Medical Center (CUIMC), New York, NY, USA
| | - Maria Gomolka
- Bundesamt für Strahlenschutz/Federal Office for Radiation Protection, Oberschleissheim, Germany
| | - Milagrosa López Riego
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Peter K Rogan
- Biochemistry, University of Western Ontario, London, Canada.,CytoGnomix Inc, London, Canada
| | | | - Gayle E Woloschak
- Radiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Frederic Zenhausern
- Department of Basic Medical Sciences, College of Medicine, The University of Arizona, Phoenix, AZ, USA.,Center for Applied Nanobioscience and Medicine, University of Arizona, Phoenix, AZ, USA
| | - Hanns L Kaatsch
- Bundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany
| | - Simone Schüle
- Bundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany
| | - Reinhard Ullmann
- Bundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany
| | - Matthias Port
- Bundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany
| | - Michael Abend
- Bundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany
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Taliaferro LP, Cassatt DR, Horta ZP, Satyamitra MM. Meeting Report: A Poly-Pharmacy Approach to Mitigate Acute Radiation Syndrome. Radiat Res 2021; 196:436-446. [PMID: 34237144 PMCID: PMC8532024 DOI: 10.1667/rade-21-00048.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 06/03/2021] [Indexed: 11/03/2022]
Abstract
The National Institute of Allergy and Infectious Diseases, Radiation and Nuclear Countermeasures Program, was tasked by the United States Congress and the U.S. Department of Health and Human Services to identify and fund early-to-mid-stage development of medical countermeasures (MCMs) to treat radiation-induced injuries. In developing MCMs to treat various sub-syndromes (e.g., hematopoietic, gastrointestinal, lung), it is important to investigate whether a poly-pharmacy approach (i.e., drug cocktails) can provide additive benefits to mitigate injuries arising from the acute radiation syndrome (ARS). In addition, potential drug-drug interactions must be examined. For this reason, a workshop was held, which centered on understanding the current state of research investigating poly-pharmacy approaches to treat radiation injuries. The first session set the stage with an introduction to the concept of operations or support available for the response to a nuclear incident, as this is the key to any emergency response, including MCM availability and distribution. The second session followed the natural history of ARS in both humans and animal models to underscore the complexity of ARS and why a poly-pharmacy approach may be necessary. The third session featured talks from investigators conducting current MCM poly-pharmacy research. The meeting closed with a focus on regulatory considerations for the development of poly-pharmacy approaches or combination treatments for ARS.
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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), Rockville,
Maryland
| | - David R. Cassatt
- 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), Rockville,
Maryland
| | | | - 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), Rockville,
Maryland
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48
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Satyamitra MM, Cassatt DR, Taliaferro LP. Meeting Commentary: A Poly-Pharmacy Approach to Mitigate Acute Radiation Syndrome (ARS). Radiat Res 2021; 196:423-428. [PMID: 34270773 PMCID: PMC8522554 DOI: 10.1667/rade-21-00053.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/23/2021] [Indexed: 11/03/2022]
Affiliation(s)
- 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), Rockville,
Maryland
| | - David R. Cassatt
- 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), Rockville,
Maryland
| | - 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), Rockville,
Maryland
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49
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Hülber T, Kocsis ZS, Németh J, Kis E, d'Errico F, Sáfrány G, Pesznyák C. Influence of sample preparation optimization on the accuracy of dose assessment of an automatic non-fluorescent MN scoring system. Int J Radiat Biol 2021; 97:1470-1484. [PMID: 34346832 DOI: 10.1080/09553002.2021.1962573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE Automatizing the scoring of the cytokinesis-blocked micronucleus assay spares a lot of valuable time. The dose-effect relationship can be applied reliably for dose estimation if the quality of the slides is the same from the perspective of the used image processing algorithm. This aspect brings in additional requirements against the quality of the slides compared to the conventional visual scoring. MATERIALS AND METHODS An add-in software was created to the non-fluorescent RS-MN automatic MN scoring system which is capable of measuring quantitatively the degree of typical anomalies. The image processing is less reliable when the presence of these anomalies is more frequent. The behavior of the designed sample quality parameters (SQPs) was tested on in vitro irradiated peripheral blood samples (0, 1, and 2 Gy) obtained from a healthy donor and also on samples from patients undergoing low dose-rate brachytherapy. RESULTS We examined 20 different SQPs and identified two that are independent and correlate significantly with the error of the fully automatic MN frequency. One is related to the size of the cells and the other reflects the homogeneity of the environment. An equation was established which presents a connection between the error of the auto MN frequency and the SQPs. By adding a fourth cleaning step to the conventional sample preparation and changing the pre-dripping temperature of the slide, the SQP can be modified, and consequently, the sample quality can be improved. The gain in accuracy is 54 ± 10 MN per 1000 binucleated cells, which corresponds to the effects of 0.5 Gy. Around the lowest limit of detection (<0.5 Gy), it means a 50-100% drop in the error of dose, which is significant. With sample quality harmonization, the positive predictive value was raised to 80-93% depending on the dose. CONCLUSIONS With the technique described in this paper, the suitability for automated scoring of a micronucleus slide can be tested quantitatively and objectively. A method is presented with which in some cases the uncertainty of the assessed doses due to variance in sample quality can be decreased or if it is not possible its bias can be predicted. The proposed protocol leads to more reliable estimation of dose. The SQPs are designed in a way that they have the potential to be adapted to similar systems.
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Affiliation(s)
- Tímea Hülber
- Institute of Nuclear Techniques, Budapest University of Technology and Economics, Budapest, Hungary.,Radosys Ltd., Budapest, Hungary
| | - Zsuzsa S Kocsis
- Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
| | | | - Enikõ Kis
- Department of Radiobiology and Radiohygiene, National Public Health Center, Budapest, Hungary
| | - Francesco d'Errico
- Department of Civil and Industrial Engineering, University of Pisa, Pisa, Italy
| | - Géza Sáfrány
- Department of Radiobiology and Radiohygiene, National Public Health Center, Budapest, Hungary
| | - Csilla Pesznyák
- Institute of Nuclear Techniques, Budapest University of Technology and Economics, Budapest, Hungary.,Centre of Radiotherapy, National Institute of Oncology, Budapest, Hungary
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50
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Lee YH, Lee Y, Yoon HJ, Yang SS, Joo HM, Kim JY, Cho SJ, Jo WS, Jeong SK, Oh SJ, Kang YR, Seong KM. An intercomparison exercise to compare scoring criteria and develop image databank for biodosimetry in South Korea. Int J Radiat Biol 2021; 97:1199-1205. [PMID: 34133255 DOI: 10.1080/09553002.2021.1941384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 05/20/2021] [Accepted: 06/02/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Mutual cooperation of biodosimetry laboratories is required for dose assessments of large numbers of people with potential radiation exposure, as in mass casualty accidents. We launched an intercomparison exercise to validate the performance of biodosimetry laboratories in South Korea. MATERIALS AND METHODS Participating laboratories shared metaphase images from dicentric chromosome assays (DCAs) and fluorescence in situ hybridization (FISH)-based translocation assays, which were evaluated based on their own scoring protocols. RESULTS Overall, the coefficient of variation among three laboratories was less than 10% for counting scorable metaphases and chromosomal aberrations. However, there was variation in the interpretation of the International Atomic Energy Agency guidelines for selecting scorable metaphases and identifying chromosomal aberrations. In a technical workshop, scoring discrepancies were extensively discussed in order to harmonize biodosimetry protocols in Korea. In addition, metaphase images with agreement among all participating laboratories were compiled into an image databank, which can be used for education and training of scorers. CONCLUSIONS These findings and exercises may improve the accuracy of dose assessment, as well as increase the capacity for biodosimetry in South Korea.
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Affiliation(s)
- Yang Hee Lee
- Lab of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
| | - Younghyun Lee
- Lab of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
| | - Hyo Jin Yoon
- Lab of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
| | - Su San Yang
- Lab of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
| | - Hae Mi Joo
- Korea Hydro & Nuclear Power Co, Radiation Health Institute, Seoul, Republic of Korea
| | - Ji Young Kim
- Korea Hydro & Nuclear Power Co, Radiation Health Institute, Seoul, Republic of Korea
| | - Seong-Jun Cho
- Korea Hydro & Nuclear Power Co, Radiation Health Institute, Seoul, Republic of Korea
| | - Wol Soon Jo
- Department of Research Center, Dong Nam Institute of Radiological and Medical Sciences (DIRAMS), Busan, Republic of Korea
| | - Soo Kyung Jeong
- Department of Research Center, Dong Nam Institute of Radiological and Medical Sciences (DIRAMS), Busan, Republic of Korea
| | - Su Jung Oh
- Department of Research Center, Dong Nam Institute of Radiological and Medical Sciences (DIRAMS), Busan, Republic of Korea
| | - Yeong-Rok Kang
- Department of Research Center, Dong Nam Institute of Radiological and Medical Sciences (DIRAMS), Busan, Republic of Korea
| | - Ki Moon Seong
- Lab of Biological Dosimetry, National Radiation Emergency Medical Center (NREMC), Korea Institute of Radiological & Medical Sciences (KIRAMS), Seoul, Republic of Korea
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