1
|
Blakely WF, Port M, Ostheim P, Abend M. Radiation Research Society Journal-based Historical Review of the Use of Biomarkers for Radiation Dose and Injury Assessment: Acute Health Effects Predictions. Radiat Res 2024; 202:185-204. [PMID: 38936821 DOI: 10.1667/rade-24-00121.1] [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: 05/02/2024] [Accepted: 06/11/2024] [Indexed: 06/29/2024]
Abstract
A multiple-parameter based approach using radiation-induced clinical signs and symptoms, hematology changes, cytogenetic chromosomal aberrations, and molecular biomarkers changes after radiation exposure is used for biodosimetry-based dose assessment. In the current article, relevant milestones from Radiation Research are documented that forms the basis of the current consensus approach for diagnostics after radiation exposure. For example, in 1962 the use of cytogenetic chromosomal aberration using the lymphocyte metaphase spread dicentric assay for biodosimetry applications was first published in Radiation Research. This assay is now complimented using other cytogenetic chromosomal aberration assays (i.e., chromosomal translocations, cytokinesis-blocked micronuclei, premature chromosome condensation, γ-H2AX foci, etc.). Changes in blood cell counts represent an early-phase biomarker for radiation exposures. Molecular biomarker changes have evolved to include panels of organ-specific plasma proteomic and blood-based gene expression biomarkers for radiation dose assessment. Maturation of these assays are shown by efforts for automated processing and scoring, development of point-of-care diagnostics devices, service laboratories inter-comparison exercises, and applications for dose and injury assessments in radiation accidents. An alternative and complementary approach has been advocated with the focus to de-emphasize "dose" and instead focus on predicting acute or delayed health effects. The same biomarkers used for dose estimation (e.g., lymphocyte counts) can be used to directly predict the later developing severity degree of acute health effects without performing dose estimation as an additional or intermediate step. This review illustrates contributing steps toward these developments published in Radiation Research.
Collapse
Affiliation(s)
- William F Blakely
- Scientific Research Department, Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Matthias Port
- Bundeswehr Institute of Radiobiology, Munich, Germany
| | | | - Michael Abend
- Bundeswehr Institute of Radiobiology, Munich, Germany
| |
Collapse
|
2
|
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.
Collapse
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
| |
Collapse
|
3
|
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.
Collapse
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
| |
Collapse
|
4
|
Shuryak I, Ghandhi SA, Laiakis EC, Garty G, Wu X, Ponnaiya B, Kosowski E, Pannkuk E, Kaur SP, Harken AD, Deoli N, Fornace AJ, Brenner DJ, Amundson SA. Biomarker integration for improved biodosimetry of mixed neutron + photon exposures. Sci Rep 2023; 13:10936. [PMID: 37414809 PMCID: PMC10325958 DOI: 10.1038/s41598-023-37906-3] [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: 03/02/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023] Open
Abstract
There is a persistent risk of a large-scale malicious or accidental exposure to ionizing radiation that may affect a large number of people. Exposure will consist of both a photon and neutron component, which will vary in magnitude between individuals and is likely to have profound impacts on radiation-induced diseases. To mitigate these potential disasters, there exists a need for novel biodosimetry approaches that can estimate the radiation dose absorbed by each person based on biofluid samples, and predict delayed effects. Integration of several radiation-responsive biomarker types (transcripts, metabolites, blood cell counts) by machine learning (ML) can improve biodosimetry. Here we integrated data from mice exposed to various neutron + photon mixtures, total 3 Gy dose, using multiple ML algorithms to select the strongest biomarker combinations and reconstruct radiation exposure magnitude and composition. We obtained promising results, such as receiver operating characteristic curve area of 0.904 (95% CI: 0.821, 0.969) for classifying samples exposed to ≥ 10% neutrons vs. < 10% neutrons, and R2 of 0.964 for reconstructing photon-equivalent dose (weighted by neutron relative biological effectiveness) for neutron + photon mixtures. These findings demonstrate the potential of combining various -omic biomarkers for novel biodosimetry.
Collapse
Affiliation(s)
- Igor Shuryak
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA.
| | - Shanaz A Ghandhi
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Evagelia C Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA
| | - Guy Garty
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Xuefeng Wu
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Brian Ponnaiya
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Emma Kosowski
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Evan Pannkuk
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA
| | - Salan P Kaur
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Andrew D Harken
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Naresh Deoli
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Albert J Fornace
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA
| | - David J Brenner
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| | - Sally A Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168Th Street, VC-11-234/5, New York, NY, 10032, USA
| |
Collapse
|
5
|
Li J, Shen Z, Chen W, Feng Z, Fang L, Zhao J, Liu C, Du J, Cheng Y. Screening of miRNAs in White Blood Cell as a Radiation Biomarkers for Rapid Assessment of Acute Radiation Injury. Dose Response 2022; 20:15593258221123679. [PMID: 36132708 PMCID: PMC9483971 DOI: 10.1177/15593258221123679] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 08/12/2022] [Indexed: 11/21/2022] Open
Abstract
Accidental radiation exposure is a threat to human health that necessitates
effective clinical diagnosis. Suitable biomarkers are urgently needed for early
assessment of exposure dose. Existing technologies being used to assess the
extent of radiation have notable limitations. As a radiation biomarker, miRNA
has the advantages of simple detection and high throughput. In this study, we
screened for miRNAs with dose and time dependent responses in peripheral blood
leukocytes via miRNA sequencing in establishing the animal model of acute
radiation injury. Four radiation-sensitive and stably expressed miRNAs were
selected out in the 24 h group of leukocyte miRNAs: mmu-miR-130b-5p,
mmu-miR-148b-5p, mmu-miR-184-3p, mmu-miR-26a-2-3p, and five were screened in the
48 h group of leukocyte miRNAs: mmu-miR-130b-5p, mmu-miR-423-5p, mmu-miR-676-3p,
mmu-miR-150-5p, mmu-miR-342-3p.The correlation curves between their expression
and irradiation dose were plotted. Then, the results were validated by RT-qPCR
in mouse peripheral blood. As a result, mmu-miR-150-5p and mmu-miR-342-3p showed
the highest correlation at 48h after irradiation, and mmu-miR-130b-5p showed
good correlation at both 24 h and 48 h after irradiation. In a conclusion, the
miRNAs that are sensitive to ionizing radiation with dose dependent effects were
selected out, which have the potential of forming a rapid assessment scheme for
acute radiation injury.
Collapse
Affiliation(s)
- Jiaxun Li
- College of Basic Medicine, Naval Medical University, Shanghai, China
| | - Zhefan Shen
- College of Basic Medicine, Naval Medical University, Shanghai, China
| | - Wei Chen
- Naval Medical Center, Naval Medical University, Shanghai, China
| | | | - Lan Fang
- Naval Medical University, Shanghai, China
| | | | - Cong Liu
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Jicong Du
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Ying Cheng
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| |
Collapse
|
6
|
Macaeva E, Tabury K, Michaux A, Janssen A, Averbeck N, Moreels M, De Vos WH, Baatout S, Quintens R. High-LET Carbon and Iron Ions Elicit a Prolonged and Amplified p53 Signaling and Inflammatory Response Compared to low-LET X-Rays in Human Peripheral Blood Mononuclear Cells. Front Oncol 2021; 11:768493. [PMID: 34888245 PMCID: PMC8649625 DOI: 10.3389/fonc.2021.768493] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/01/2021] [Indexed: 12/29/2022] Open
Abstract
Understanding the differences in biological response to photon and particle radiation is important for optimal exploitation of particle therapy for cancer patients, as well as for the adequate application of radiation protection measures for astronauts. To address this need, we compared the transcriptional profiles of isolated peripheral blood mononuclear cells 8 h after exposure to 1 Gy of X-rays, carbon ions or iron ions with those of non-irradiated cells using microarray technology. All genes that were found differentially expressed in response to either radiation type were up-regulated and predominantly controlled by p53. Quantitative PCR of selected genes revealed a significantly higher up-regulation 24 h after exposure to heavy ions as compared to X-rays, indicating their prolonged activation. This coincided with increased residual DNA damage as evidenced by quantitative γH2AX foci analysis. Furthermore, despite the converging p53 signature between radiation types, specific gene sets related to the immune response were significantly enriched in up-regulated genes following irradiation with heavy ions. In addition, irradiation, and in particular exposure to carbon ions, promoted transcript variation. Differences in basal and iron ion exposure-induced expression of DNA repair genes allowed the identification of a donor with distinct DNA repair profile. This suggests that gene signatures may serve as a sensitive indicator of individual DNA damage repair capacity. In conclusion, we have shown that photon and particle irradiation induce similar transcriptional pathways, albeit with variable amplitude and timing, but also elicit radiation type-specific responses that may have implications for cancer progression and treatment
Collapse
Affiliation(s)
- Ellina Macaeva
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium.,Department of Molecular Biotechnology, Ghent University, Ghent, Belgium.,Department of Oncology, KU Leuven, Leuven, Belgium
| | - Kevin Tabury
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium.,Department of Biomedical Engineering, University of South Carolina, Columbia, SC, United States
| | - Arlette Michaux
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium
| | - Ann Janssen
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium
| | - Nicole Averbeck
- Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Marjan Moreels
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium
| | - Winnok H De Vos
- Department of Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | - Sarah Baatout
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium.,Department of Molecular Biotechnology, Ghent University, Ghent, Belgium
| | - Roel Quintens
- Radiobiology Unit, Studiecentrum voor kernenergie - Centre d'étude de l'énergie nucléaire (SCK CEN), Mol, Belgium
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
Ghandhi SA, Sima C, Weber WM, Melo DR, Rudqvist N, Morton SR, Turner HC, Amundson SA. Dose and Dose-Rate Effects in a Mouse Model of Internal Exposure to 137Cs. Part 1: Global Transcriptomic Responses in Blood. Radiat Res 2020; 196:478-490. [PMID: 32931585 PMCID: PMC8864709 DOI: 10.1667/rade-20-00041] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 06/18/2020] [Indexed: 11/03/2022]
Abstract
Internal contamination by radionuclides may constitute a major source of exposure and biological damage after radiation accidents and potentially in a dirty bomb or improvised nuclear device scenario. We injected male C57BL/6 mice with radiolabeled cesium chloride solution (137CsCl) to evaluate the biological effects of varying cumulative doses and dose rates in a two-week study. Injection activities of 137CsCl were 5.71, 6.78, 7.67 and 9.29 MBq, calculated to achieve a target dose of 4 Gy at days 14, 7, 5 and 3, respectively. We collected whole blood samples at days 2, 3, 5, 7 and 14 so that we can publish the issue in Decemberfrom all injection groups and measured gene expression using Agilent Mouse Whole Genome microarrays. We identified both dose-rate-independent and dose-rate-dependent gene expression responses in the time series. Gene Ontology analysis indicated a rapid and persistent immune response to the chronic low-dose-rate irradiation, consistent with depletion of radiosensitive B cells. Pathways impacting platelet aggregation and TP53 signaling appeared activated, but not consistently at all times in the study. Clustering of genes by pattern and identification of dose-rate-independent and -dependent genes provided insight into possible drivers of the dynamic transcriptome response in vivo, and also indicated that TP53 signaling may be upstream of very different transcript response patterns. This characterization of the biological response of blood cells to internal radiation at varying doses and dose rates is an important step in understanding the effects of internal contamination after a nuclear event.
Collapse
Affiliation(s)
| | - Chao Sima
- Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, Texas 77845
| | - Waylon M. Weber
- The Lovelace Biomedical Research Institute, Albuquerque, New Mexico 87108
| | - Dunstana R. Melo
- The Lovelace Biomedical Research Institute, Albuquerque, New Mexico 87108
| | - Nils Rudqvist
- Columbia University Irving Medical Center, New York, New York 10032
| | - Shad R. Morton
- Columbia University Irving Medical Center, New York, New York 10032
| | - Helen C. Turner
- Columbia University Irving Medical Center, New York, New York 10032
| | | |
Collapse
|