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Singh VK, Srivastava M, Seed TM. Protein biomarkers for radiation injury and testing of medical countermeasure efficacy: promises, pitfalls, and future directions. Expert Rev Proteomics 2023; 20:221-246. [PMID: 37752078 DOI: 10.1080/14789450.2023.2263652] [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: 05/23/2023] [Accepted: 09/11/2023] [Indexed: 09/28/2023]
Abstract
INTRODUCTION Radiological/nuclear accidents, hostile military activity, or terrorist strikes have the potential to expose a large number of civilians and military personnel to high doses of radiation resulting in the development of acute radiation syndrome and delayed effects of exposure. Thus, there is an urgent need for sensitive and specific assays to assess the levels of radiation exposure to individuals. Such radiation exposures are expected to alter primary cellular proteomic processes, resulting in multifaceted biological responses. AREAS COVERED This article covers the application of proteomics, a promising and fast developing technology based on quantitative and qualitative measurements of protein molecules for possible rapid measurement of radiation exposure levels. Recent advancements in high-resolution chromatography, mass spectrometry, high-throughput, and bioinformatics have resulted in comprehensive (relative quantitation) and precise (absolute quantitation) approaches for the discovery and accuracy of key protein biomarkers of radiation exposure. Such proteome biomarkers might prove useful for assessing radiation exposure levels as well as for extrapolating the pharmaceutical dose of countermeasures for humans based on efficacy data generated using animal models. EXPERT OPINION The field of proteomics promises to be a valuable asset in evaluating levels of radiation exposure and characterizing radiation injury biomarkers.
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Affiliation(s)
- 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
| | - Meera Srivastava
- Department of Anatomy, Physiology and Genetics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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DiCarlo AL, Cassatt DR, Rios CI, Satyamitra MM, Zhang Y, Golden TG, Taliaferro LP. Making connections: the scientific impact and mentoring legacy of Dr. John E. Moulder. Int J Radiat Biol 2023:1-7. [PMID: 36763099 DOI: 10.1080/09553002.2023.2176563] [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: 02/11/2023]
Abstract
PURPOSE The intent of this mini review is to pay homage to Dr. John E. Moulder's long and successful career in radiation science with the Medical College of Wisconsin. This effort will be done from the perspective of his history of U.S. Government funding for research into the biological pathways involved in radiation-induced normal tissue injuries, especially damage to the kidneys and heart, and pharmacological interventions. In addition, the impact of his steady guidance and leadership in the mentoring of junior scientists, and the development of meaningful collaborations with other researchers will be highlighted. CONCLUSION Dr. John E. Moulder's contributions to the field of radiation research, through his strong character and reputation, his consistent and dedicated commitment to his colleagues and students, and his significant scientific advances, have been critical to moving the science forward, and will not be forgotten by those who knew him personally or through publications documenting his important work.
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Affiliation(s)
- 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, Rockville, MD, USA
| | - David R Cassatt
- Radiation and Nuclear Countermeasures Program; Division of Allergy, Immunology, and Transplantation; National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA
| | - 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, Rockville, MD, USA
| | - Merriline M Satyamitra
- Radiation and Nuclear Countermeasures Program; Division of Allergy, Immunology, and Transplantation; National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA
| | - Yuji Zhang
- Department of Epidemiology and Public Health, Marlene and Stewart Greenbaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Trevor G Golden
- Radiation and Nuclear Countermeasures Program; Division of Allergy, Immunology, and Transplantation; National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA
| | - Lanyn P Taliaferro
- Radiation and Nuclear Countermeasures Program; Division of Allergy, Immunology, and Transplantation; National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA
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Gnanasekaran TS. Cytogenetic biological dosimetry assays: recent developments and updates. Radiat Oncol J 2021; 39:159-166. [PMID: 34610654 PMCID: PMC8497872 DOI: 10.3857/roj.2021.00339] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 04/21/2021] [Indexed: 12/03/2022] Open
Abstract
Biological dosimetry is the measurement of radiation-induced changes in the human to measure short and long-term health risks. Biodosimetry offers an independent means of obtaining dose information and also provides diagnostic information on the potential for “partial-body” exposure information using biological indicators and otherwise based on computer modeling, dose reconstruction, and physical dosimetry. A variety of biodosimetry tools are available and some features make some more valuable than others. Among the available biodosimetry tool, cytogenetic biodosimetry methods occupy an exclusive and advantageous position. The cytogenetic analysis can complement physical dosimetry by confirming or ruling out an accidental radiological exposure or overexposures. We are discussing the recent developments and adaptability of currently available cytogenetic biological dosimetry assays.
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Pannkuk EL, Laiakis EC, Garcia M, Fornace AJ, Singh VK. Nonhuman Primates with Acute Radiation Syndrome: Results from a Global Serum Metabolomics Study after 7.2 Gy Total-Body Irradiation. Radiat Res 2018; 190:576-583. [PMID: 30183511 DOI: 10.1667/rr15167.1] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Threats of nuclear terrorism coupled with potential unintentional ionizing radiation exposures have necessitated the need for large-scale response efforts of such events, including high-throughput biodosimetry for medical triage. Global metabolomics utilizing mass spectrometry (MS) platforms has proven an ideal tool for generating large compound databases with relative quantification and structural information in a short amount of time. Determining metabolite panels for biodosimetry requires experimentation to evaluate the many factors associated with compound concentrations in biofluids after radiation exposures, including temporal changes, pre-existing conditions, dietary intake, partial- vs. total-body irradiation (TBI), among others. Here, we utilize a nonhuman primate (NHP) model and identify metabolites perturbed in serum after 7.2 Gy TBI without supportive care [LD70/60, hematologic (hematopoietic) acute radiation syndrome (HARS) level H3] at 24, 36, 48 and 96 h compared to preirradiation samples with an ultra-performance liquid chromatography quadrupole time-of-flight (UPLC-QTOF) MS platform. Additionally, we document changes in cytokine levels. Temporal changes observed in serum carnitine, acylcarnitines, amino acids, lipids, deaminated purines and increases in pro-inflammatory cytokines indicate clear metabolic dysfunction after radiation exposure. Multivariate data analysis shows distinct separation from preirradiation groups and receiver operator characteristic curve analysis indicates high specificity and sensitivity based on area under the curve at all time points after 7.2 Gy irradiation. Finally, a comparison to a 6.5 Gy (LD50/60, HARS level H2) cohort after 24 h postirradiation revealed distinctly increased separations from the 7.2 Gy cohort based on multivariate data models and higher compound fold changes. These results highlight the utility of MS platforms to differentiate time and absorbed dose after a potential radiation exposure that may aid in assigning specific medical interventions and contribute as additional biodosimetry tools.
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Affiliation(s)
| | - Evagelia C Laiakis
- Departments of Oncology.,Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Melissa Garcia
- Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Bethesda, Maryland
| | - Albert J Fornace
- Departments of Oncology.,Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Vijay K Singh
- Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Bethesda, Maryland.,Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
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Lacombe J, Sima C, Amundson SA, Zenhausern F. Candidate gene biodosimetry markers of exposure to external ionizing radiation in human blood: A systematic review. PLoS One 2018; 13:e0198851. [PMID: 29879226 PMCID: PMC5991767 DOI: 10.1371/journal.pone.0198851] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 05/25/2018] [Indexed: 12/22/2022] Open
Abstract
Purpose To compile a list of genes that have been reported to be affected by external ionizing radiation (IR) and to assess their performance as candidate biomarkers for individual human radiation dosimetry. Methods Eligible studies were identified through extensive searches of the online databases from 1978 to 2017. Original English-language publications of microarray studies assessing radiation-induced changes in gene expression levels in human blood after external IR were included. Genes identified in at least half of the selected studies were retained for bio-statistical analysis in order to evaluate their diagnostic ability. Results 24 studies met the criteria and were included in this study. Radiation-induced expression of 10,170 unique genes was identified and the 31 genes that have been identified in at least 50% of studies (12/24 studies) were selected for diagnostic power analysis. Twenty-seven genes showed a significant Spearman’s correlation with radiation dose. Individually, TNFSF4, FDXR, MYC, ZMAT3 and GADD45A provided the best discrimination of radiation dose < 2 Gy and dose ≥ 2 Gy according to according to their maximized Youden’s index (0.67, 0.55, 0.55, 0.55 and 0.53 respectively). Moreover, 12 combinations of three genes display an area under the Receiver Operating Curve (ROC) curve (AUC) = 1 reinforcing the concept of biomarker combinations instead of looking for an ideal and unique biomarker. Conclusion Gene expression is a promising approach for radiation dosimetry assessment. A list of robust candidate biomarkers has been identified from analysis of the studies published to date, confirming for example the potential of well-known genes such as FDXR and TNFSF4 or highlighting other promising gene such as ZMAT3. However, heterogeneity in protocols and analysis methods will require additional studies to confirm these results.
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Affiliation(s)
- Jerome Lacombe
- Center for Applied NanoBioscience and Medicine, University of Arizona, Phoenix, Arizona, United States of America
- * E-mail:
| | - Chao Sima
- Center for Bioinformatics and Genomic Systems Engineering, Texas A&M Engineering Experiment Station, College Station, TX, United States of America
| | - Sally A. Amundson
- Center for Radiological Research, Columbia University Medical Center, New York, NY, United States of America
| | - Frederic Zenhausern
- Center for Applied NanoBioscience and Medicine, University of Arizona, Phoenix, Arizona, United States of America
- Honor Health Research Institute, Scottsdale, Arizona, United States of America
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
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Kulkarni S, Koller A, Mani KM, Wen R, Alfieri A, Saha S, Wang J, Patel P, Bandeira N, Guha C, Chen EI. Identifying Urinary and Serum Exosome Biomarkers for Radiation Exposure Using a Data Dependent Acquisition and SWATH-MS Combined Workflow. Int J Radiat Oncol Biol Phys 2016; 96:566-77. [PMID: 27485285 DOI: 10.1016/j.ijrobp.2016.06.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Revised: 05/25/2016] [Accepted: 06/07/2016] [Indexed: 02/06/2023]
Abstract
PURPOSE Early and accurate assessment of radiation injury by radiation-responsive biomarkers is critical for triage and early intervention. Biofluids such as urine and serum are convenient for such analysis. Recent research has also suggested that exosomes are a reliable source of biomarkers in disease progression. In the present study, we analyzed total urine proteome and exosomes isolated from urine or serum for potential biomarkers of acute and persistent radiation injury in mice exposed to lethal whole body irradiation (WBI). METHODS AND MATERIALS For feasibility studies, the mice were irradiated at 10.4 Gy WBI, and urine and serum samples were collected 24 and 72 hours after irradiation. Exosomes were isolated and analyzed using liquid chromatography mass spectrometry/mass spectrometry-based workflow for radiation exposure signatures. A data dependent acquisition and SWATH-MS combined workflow approach was used to identify significantly exosome biomarkers indicative of acute or persistent radiation-induced responses. For the validation studies, mice were exposed to 3, 6, 8, or 10 Gy WBI, and samples were analyzed for comparison. RESULTS A comparison between total urine proteomics and urine exosome proteomics demonstrated that exosome proteomic analysis was superior in identifying radiation signatures. Feasibility studies identified 23 biomarkers from urine and 24 biomarkers from serum exosomes after WBI. Urinary exosome signatures identified different physiological parameters than the ones obtained in serum exosomes. Exosome signatures from urine indicated injury to the liver, gastrointestinal, and genitourinary tracts. In contrast, serum showed vascular injuries and acute inflammation in response to radiation. Selected urinary exosomal biomarkers also showed changes at lower radiation doses in validation studies. CONCLUSIONS Exosome proteomics revealed radiation- and time-dependent protein signatures after WBI. A total of 47 differentially secreted proteins were identified in urinary and serum exosomes. Together, these data showed the feasibility of defining biomarkers that could elucidate tissue-associated and systemic response caused by high-dose ionizing radiation. This is the first report using an exosome proteomics approach to identify radiation signatures.
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Affiliation(s)
- Shilpa Kulkarni
- Department of Radiation Oncology, Albert Einstein College of Medicine, Bronx, New York
| | - Antonius Koller
- Proteomics Center, Stony Brook University School of Medicine, Stony Brook, New York; Proteomics Shared Resource, Herbert Irving Comprehensive Cancer Center, New York, New York
| | - Kartik M Mani
- Department of Radiation Oncology, Albert Einstein College of Medicine, Bronx, New York
| | - Ruofeng Wen
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York
| | - Alan Alfieri
- Department of Radiation Oncology, Albert Einstein College of Medicine, Bronx, New York
| | - Subhrajit Saha
- Department of Radiation Oncology, Albert Einstein College of Medicine, Bronx, New York
| | - Jian Wang
- Center for Computational Mass Spectrometry, University of California, San Diego, California; Department of Computer Science and Engineering, University of California, San Diego, California
| | - Purvi Patel
- Proteomics Shared Resource, Herbert Irving Comprehensive Cancer Center, New York, New York; Department of Pharmacological Sciences, Stony Brook University, Stony Brook, New York
| | - Nuno Bandeira
- Center for Computational Mass Spectrometry, University of California, San Diego, California; Department of Computer Science and Engineering, University of California, San Diego, California; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, California
| | - Chandan Guha
- Department of Radiation Oncology, Albert Einstein College of Medicine, Bronx, New York.
| | - Emily I Chen
- Proteomics Center, Stony Brook University School of Medicine, Stony Brook, New York; Proteomics Shared Resource, Herbert Irving Comprehensive Cancer Center, New York, New York; Department of Pharmacological Sciences, Stony Brook University, Stony Brook, New York; Department of Pharmacology, Columbia University Medical Center, New York, New York.
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Sadi B, Li C, Ko R, Daka J, Yusuf H, Wyatt H, Surette J, Priest N, Hamada N. A study on the effect of the internal exposure to (210)Po on the excretion of urinary proteins in rats. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2016; 55:161-169. [PMID: 26961776 DOI: 10.1007/s00411-016-0639-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 02/20/2016] [Indexed: 06/05/2023]
Abstract
This study was designed to assess the feasibility of a noninvasive urine specimen for the detection of proteins as indicators of internal exposure to ionizing radiation. Three groups of rats (five in each group) were intravenously injected with 1601 ± 376, 10,846 ± 591 and 48,467 ± 2812 Bq of (210)Po in citrate form. A sham-exposed control group of five rats was intravenously injected with sterile physiological saline. Daily urine samples were collected over 4 days following injection. Purification and pre-concentration of urinary proteins were carried out by ultrafiltration using a 3000 Da molecular weight cutoff membrane filter. The concentration of common urinary proteins, namely albumin, alpha-1-acid glycoprotein, immunoglobulins IgA and IgG, was measured by an enzyme-linked immunosorbent assay. Urinary excretion of albumin decreased dose-dependently (p < 0.05) 96 h post-injection relative to the control group. In contrast, no statistically significant effects were observed for other proteins tested. The dose-dependent decrease in urinary excretion of albumin observed in this study underscores the need for further research, which may lead to the discovery of new biomarkers that would reflect the changes in the primary target organs for deposition of (210)Po.
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Affiliation(s)
- Baki Sadi
- National Internal Radiation Assessment Section, Radiation Protection Bureau, Health Canada, 775 Brookfield Road, Ottawa, ON, K1A 1C1, Canada.
| | - Chunsheng Li
- National Internal Radiation Assessment Section, Radiation Protection Bureau, Health Canada, 775 Brookfield Road, Ottawa, ON, K1A 1C1, Canada
| | - Raymond Ko
- National Internal Radiation Assessment Section, Radiation Protection Bureau, Health Canada, 775 Brookfield Road, Ottawa, ON, K1A 1C1, Canada
| | - Joseph Daka
- National Internal Radiation Assessment Section, Radiation Protection Bureau, Health Canada, 775 Brookfield Road, Ottawa, ON, K1A 1C1, Canada
| | - Hamdi Yusuf
- Department of Chemistry, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada
| | - Heather Wyatt
- Canadian Nuclear Laboratories, Atomic Energy of Canada Limited, Chalk River, ON, K0J 1J0, Canada
| | - Joel Surette
- Canadian Nuclear Laboratories, Atomic Energy of Canada Limited, Chalk River, ON, K0J 1J0, Canada
| | - Nick Priest
- Canadian Nuclear Laboratories, Atomic Energy of Canada Limited, Chalk River, ON, K0J 1J0, Canada
| | - Nobuyuki Hamada
- Nuclear Technology Research Laboratory, Radiation Safety Research Center, Central Research Institute of Electric Power Industry (CRIEPI), 2-11-1 Iwado-kita, Komae, Tokyo, 201-8511, Japan
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Byrum SD, Burdine MS, Orr L, Moreland L, Mackintosh SG, Authier S, Pouliot M, Hauer-Jensen M, Tackett AJ. A Quantitative Proteomic Analysis of Urine from Gamma-Irradiated Non-Human Primates. ACTA ACUST UNITED AC 2015; 9. [PMID: 26962295 DOI: 10.4172/jpb.s10-005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The molecular effects of total body gamma-irradiation exposure are of critical importance as large populations of people could be exposed either by terrorists, nuclear blast, or medical therapy. In this study, we aimed to identify changes in the urine proteome using a non-human primate model system, Rhesus macaque, in order to characterize effects of acute radiation syndrome following whole body irradiation (Co-60) at 6.7 Gy and 7.4 Gy with a twelve day observation period. The urine proteome is potentially a valuable and non-invasive diagnostic for radiation exposure. Using high-resolution mass spectrometry, we identified 2346 proteins in the urine proteome. We show proteins involved in disease, cell adhesion, and metabolic pathway were significantly changed upon exposure to differing levels and durations of radiation exposure. Cell damage increased at a faster rate at 7.4 Gy compared with 6.7 Gy exposures. We report sets of proteins that are putative biomarkers of time- and dose-dependent radiation exposure. The proteomic study presented here is a comprehensive analysis of the urine proteome following radiation exposure.
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Affiliation(s)
- Stephanie D Byrum
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, Arkansas 72205, USA
| | - Marie S Burdine
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, Arkansas 72205, USA
| | - Lisa Orr
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, Arkansas 72205, USA
| | - Linley Moreland
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, Arkansas 72205, USA
| | - Samuel G Mackintosh
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, Arkansas 72205, USA
| | | | | | - Martin Hauer-Jensen
- Division of Radiation Health, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, Arkansas 72205, USA
| | - Alan J Tackett
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, Arkansas 72205, USA
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Li MJ, Cui FM, Cheng Y, Sun D, Zhou PK, Min R. Changes in the adhesion and migration ability of peripheral blood cells: potential biomarkers indicating exposure dose. HEALTH PHYSICS 2014; 107:242-247. [PMID: 25068961 DOI: 10.1097/hp.0000000000000085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
The expression of adhesion molecules and their related functions of adhesion and migration were investigated in peripheral blood mononuclear cells (PBMCs) to identify radiation-related changes and dose-dependency. The authors screened new biomarkers as radiation exposure dose indicators. Heparinized human peripheral blood was irradiated in vitro with different doses of γ-rays. The expression levels of the CD11a, CD11b, CD18, CD29, CD49d, and CD54 molecules on the surface of PBMC cells were determined by flow cytometry at different time points post-irradiation. The adhesion ability of human PBMCs was determined using an enzyme-linked immunoassay kit, and the migration ability of rat PBMCs was evaluated using a transwell chamber assay. Compared with the unirradiated control group, a significant increase (p < 0.05) in human CD11b/CD13 double-positive cells was detected 6 h post 6 Gy irradiation in vitro. These results indicated that the decrease in human CD29/CD13 double-positive cells in the 6 Gy exposure group at 6, 12, and 24 h post-irradiation was significant (p < 0.01). The adhesion ability of irradiated human PBMCs to IgG substrate increased significantly (p < 0.05) at 6 h after irradiation of 2, 4, or 6 Gy compared with non-irradiated controls. The migration ability of the rat PBMCs toward the MIP-1α chemokine significantly decreased (p < 0.05) with increasing irradiation doses. These results suggest that the protein expression of cell surface molecules and their associated cellular functions might be potential biomarkers for identifying radiation exposure doses in an emergency radiation accident.
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Affiliation(s)
- Ming-juan Li
- *JiaXing University College of Medicine, Medicine Experimental Center, 118# Jia Hang Road, Jiaxing 314001, PR China; †Division of Radiation Medicine, Department of Naval Medicine, Second Military Medical University, 800# Xiang Yin Road, Shanghai 200433, PR China; ‡Radiation Medicine Insititute, Academy of Military Medical Science, Beijing, 27# Tai Ping Road, Beijing 100850, PR China
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Laiakis EC, Mak TD, Anizan S, Amundson SA, Barker CA, Wolden SL, Brenner DJ, Fornace AJ. Development of a metabolomic radiation signature in urine from patients undergoing total body irradiation. Radiat Res 2014; 181:350-61. [PMID: 24673254 PMCID: PMC4071158 DOI: 10.1667/rr13567.1] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
The emergence of the threat of radiological terrorism and other radiological incidents has led to the need for development of fast, accurate and noninvasive methods for detection of radiation exposure. The purpose of this study was to extend radiation metabolomic biomarker discovery to humans, as previous studies have focused on mice. Urine was collected from patients undergoing total body irradiation at Memorial Sloan-Kettering Cancer Center prior to hematopoietic stem cell transplantation at 4-6 h postirradiation (a single dose of 1.25 Gy) and 24 h (three fractions of 1.25 Gy each). Global metabolomic profiling was obtained through analysis with ultra performance liquid chromatography coupled to time-of-flight mass spectrometry (TOFMS). Prior to further analyses, each sample was normalized to its respective creatinine level. Statistical analysis was conducted by the nonparametric Kolmogorov-Smirnov test and the Fisher's exact test and markers were validated against pure standards. Seven markers showed distinct differences between pre- and post-exposure samples. Of those, trimethyl-l-lysine and the carnitine conjugates acetylcarnitine, decanoylcarnitine and octanoylcarnitine play an important role in the transportation of fatty acids across mitochondria for subsequent fatty acid β-oxidation. The remaining metabolites, hypoxanthine, xanthine and uric acid are the final products of the purine catabolism pathway, and high levels of excretion have been associated with increased oxidative stress and radiation induced DNA damage. Further analysis revealed sex differences in the patterns of excretion of the markers, demonstrating that generation of a sex-specific metabolomic signature will be informative and can provide a quick and reliable assessment of individuals in a radiological scenario. This is the first radiation metabolomics study in human urine laying the foundation for the use of metabolomics in biodosimetry and providing confidence in biomarker identification based on the overlap between animal models and humans.
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Affiliation(s)
- Evagelia C. Laiakis
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington DC
| | - Tytus D. Mak
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC
| | - Sebastien Anizan
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC
| | - Sally A. Amundson
- Center for Radiological Research, Department of Radiation Oncology, Columbia University Medical Center, New York, New York
| | - Christopher A. Barker
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Suzanne L. Wolden
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - David J. Brenner
- Center for Radiological Research, Department of Radiation Oncology, Columbia University Medical Center, New York, New York
| | - Albert J. Fornace
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington DC
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC
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Forrester HB, Sprung CN. Intragenic controls utilizing radiation-induced alternative transcript regions improves gene expression biodosimetry. Radiat Res 2014; 181:314-23. [PMID: 24625097 DOI: 10.1667/rr13501.1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Ionizing-radiation exposure can be life threatening if given to the whole body. In addition, whole body radiation exposure can affect large numbers of people such as after a nuclear reactor accident, a nuclear explosion or a radiological terrorist attack. In these cases, an accurate biodosimeter is essential for triage management. One of the problems for biodosimetry in general is the interindividual variation before and after exposure, which can make it challenging to assign an accurate dose. To begin to address this challenge, lymphocyte cell lines were exposed to 0, 1, 2 and 5 Gy ionizing radiation from a ¹³⁷Cs source at a dose rate of 0.6 Gy/min. Alternative transcripts with regions showing large differential responses to ionizing radiation were determined from exon array data. Gene expression analysis was then performed on isolated mRNA using qRT-PCR with normalization to intergenic (PGK1, GAPDH) and novel intragenic regions for candidate radiation-responsive genes, PPM1D and MDM2. Our studies show that the use of a cis-associated expression reference improved the potential dose prediction approximately 2.3-8.3 fold and provided an advantage for dose prediction compared to distantly or trans-located control ionizing radiation nonresponsive genes. This approach also provides an alternative gene expression normalization method to potentially reduce interindividual variations when untreated basal gene expression levels are unavailable. Using associated noninduced regions of ionizing radiation-induced genes provides a way to estimate basal gene expression in the irradiated sample. This strategy can be utilized as a biodosimeter on its own or to enhance other gene expression candidates for biodosimetry. This normalization strategy may also be generally applicable for other quantitative PCR strategies where normalization is required for a particular response.
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Affiliation(s)
- Helen B Forrester
- Centre for Innate Immunity and Infectious Diseases, MIMR-PHI Institute of Medical Research and Monash University, Victoria, Australia
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Sullivan JM, Prasanna PGS, Grace MB, Wathen L, Wallace RL, Koerner JF, Coleman CN. Assessment of biodosimetry methods for a mass-casualty radiological incident: medical response and management considerations. HEALTH PHYSICS 2013; 105:540-54. [PMID: 24162058 PMCID: PMC3810609 DOI: 10.1097/hp.0b013e31829cf221] [Citation(s) in RCA: 139] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Following a mass-casualty nuclear disaster, effective medical triage has the potential to save tens of thousands of lives. In order to best use the available scarce resources, there is an urgent need for biodosimetry tools to determine an individual's radiation dose. Initial triage for radiation exposure will include location during the incident, symptoms, and physical examination. Stepwise triage will include point of care assessment of less than or greater than 2 Gy, followed by secondary assessment, possibly with high throughput screening, to further define an individual's dose. Given the multisystem nature of radiation injury, it is unlikely that any single biodosimetry assay can be used as a standalone tool to meet the surge in capacity with the timeliness and accuracy needed. As part of the national preparedness and planning for a nuclear or radiological incident, the authors reviewed the primary literature to determine the capabilities and limitations of a number of biodosimetry assays currently available or under development for use in the initial and secondary triage of patients. Understanding the requirements from a response standpoint and the capability and logistics for the various assays will help inform future biodosimetry technology development and acquisition. Factors considered include: type of sample required, dose detection limit, time interval when the assay is feasible biologically, time for sample preparation and analysis, ease of use, logistical requirements, potential throughput, point-of-care capability, and the ability to support patient diagnosis and treatment within a therapeutically relevant time point.
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Affiliation(s)
- Julie M. Sullivan
- Office of Preparedness and Emergency Operations, Office of the Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington, DC
- AAAS Science and Technology Policy Fellow, Washington DC
| | - Pataje G. S. Prasanna
- Radia on Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Marcy B. Grace
- Biomedical Advanced Research & Development Authority, Office of the Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington, DC
| | - Lynne Wathen
- Biomedical Advanced Research & Development Authority, Office of the Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington, DC
| | - Rodney L. Wallace
- Biomedical Advanced Research & Development Authority, Office of the Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington, DC
| | - John F. Koerner
- Office of Preparedness and Emergency Operations, Office of the Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington, DC
| | - C. Norman Coleman
- Office of Preparedness and Emergency Operations, Office of the Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington, DC
- Radia on Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
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Omaruddin RA, Roland TA, Wallace HJ, Chaudhry MA. Gene expression as a biomarker for human radiation exposure. Hum Cell 2013; 26:2-7. [PMID: 23446844 DOI: 10.1007/s13577-013-0059-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2012] [Accepted: 01/10/2013] [Indexed: 11/25/2022]
Abstract
Accidental exposure to ionizing radiation can be unforeseen, rapid, and devastating. The detonation of a radiological device leading to such an exposure can be detrimental to the exposed population. The radiation-induced damage may manifest as acute effects that can be detected clinically or may be more subtle effects that can lead to long-term radiation-induced abnormalities. Accurate identification of the individuals exposed to radiation is challenging. The availability of a rapid and effective screening test that could be used as a biomarker of radiation exposure detection is mandatory. We tested the suitability of alterations in gene expression to serve as a biomarker of human radiation exposure. To develop a useful gene expression biomonitor, however, gene expression changes occurring in response to irradiation in vivo must be measured directly. Patients undergoing radiation therapy provide a suitable test population for this purpose. We examined the expression of CC3, MADH7, and SEC PRO in blood samples of these patients before and after radiotherapy to measure the in vivo response. The gene expression after ionizing radiation treatment varied among different patients, suggesting the complexity of the response. The expression of the SEC PRO gene was repressed in most of the patients. The MADH7 gene was found to be upregulated in most of the subjects and could serve as a molecular marker of radiation exposure.
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Affiliation(s)
- Romaica A Omaruddin
- Department of Medical Laboratory and Radiation Sciences, University of Vermont, 302 Rowell Building, Burlington, VT 05405, USA
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14
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The Urine Proteome as a Radiation Biodosimeter. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2013; 990:87-100. [DOI: 10.1007/978-94-007-5896-4_5] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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15
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Swartz HM, Williams BB, Nicolalde RJ, Demidenko E, Flood AB. Overview of biodosimetry for management of unplanned exposures to ionizing radiation. RADIAT MEAS 2011. [DOI: 10.1016/j.radmeas.2011.03.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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16
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Williams BB, Dong R, Nicolalde RJ, Matthews TP, Gladstone DJ, Demidenko E, Zaki BI, Salikhov IK, Lesniewski PN, Swartz HM. Physically-based biodosimetry using in vivo EPR of teeth in patients undergoing total body irradiation. Int J Radiat Biol 2011; 87:766-75. [PMID: 21696339 DOI: 10.3109/09553002.2011.583316] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE The ability to estimate individual exposures to radiation following a large attack or incident has been identified as a necessity for rational and effective emergency medical response. In vivo electron paramagnetic resonance (EPR) spectroscopy of tooth enamel has been developed to meet this need. MATERIALS AND METHODS A novel transportable EPR spectrometer, developed to facilitate tooth dosimetry in an emergency response setting, was used to measure upper incisors in a model system, in unirradiated subjects, and in patients who had received total body doses of 2 Gy. RESULTS A linear dose response was observed in the model system. A statistically significant increase in the intensity of the radiation-induced EPR signal was observed in irradiated versus unirradiated subjects, with an estimated standard error of dose prediction of 0.9 ± 0.3 Gy. CONCLUSIONS These results demonstrate the current ability of in vivo EPR tooth dosimetry to distinguish between subjects who have not been irradiated and those who have received exposures that place them at risk for acute radiation syndrome. Procedural and technical developments to further increase the precision of dose estimation and ensure reliable operation in the emergency setting are underway. With these developments EPR tooth dosimetry is likely to be a valuable resource for triage following potential radiation exposure of a large population.
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Affiliation(s)
- Benjamin B Williams
- Department of Diagnostic Radiology, Dartmouth Physically-based Biodosimetry Center for Medical Countermeasures against Radiation, Dartmouth Medical School, Hanover, New Hampshire, USA.
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17
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Ross JR, Case C, Confer D, Weisdorf DJ, Weinstock D, Krawisz R, Chute J, Wilhauk J, Navarro W, Hartzman R, Norman Coleman C, Hatchett R, Chao N. Radiation injury treatment network (RITN): healthcare professionals preparing for a mass casualty radiological or nuclear incident. Int J Radiat Biol 2011; 87:748-53. [PMID: 21801106 DOI: 10.3109/09553002.2011.556176] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
PURPOSE To describe the history, composition, and activities of the Radiation Injury Treatment Network (RITN). The Radiation Injury Treatment Network® is a cooperative effort of the National Marrow Donor Program and the American Society for Blood and Marrow Transplantation. The goals of RITN are to educate hematologists, oncologists, and stem cell transplant practitioners about their potential involvement in the response to a radiation incident and provide treatment expertise. Injuries to the marrow system readily occur when a victim is exposed to ionising radiation. This focus therefore leverages the expertise of these specialists who are accustomed to providing the intensive supportive care required by patients with a suppressed marrow function. Following a radiological incident, RITN centres may be asked to: Accept patient transfers to their institutions; provide treatment expertise to practitioners caring for victims at other centres; travel to other centres to provide medical expertise; or provide data on victims treated at their centres. Moving forward, it is crucial that we develop a coordinated interdisciplinary approach in planning for and responding to radiological and nuclear incidents. The ongoing efforts of radiation biologists, radiation oncologists, and health physicists can and should complement the efforts of RITN and government agencies. CONCLUSION RITN serves as a vital partner in preparedness and response efforts for potential radiological and nuclear incidents.
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Affiliation(s)
- Joel R Ross
- Division of Cellular Therapy, Duke University, Durham, NC 27710, USA
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18
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Paul S, Barker CA, Turner HC, McLane A, Wolden SL, Amundson SA. Prediction of in vivo radiation dose status in radiotherapy patients using ex vivo and in vivo gene expression signatures. Radiat Res 2011; 175:257-65. [PMID: 21388269 DOI: 10.1667/rr2420.1] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
After a large-scale nuclear accident or an attack with an improvised nuclear device, rapid biodosimetry would be needed for triage. As a possible means to address this need, we previously defined a gene expression signature in human peripheral white blood cells irradiated ex vivo that predicts the level of radiation exposure with high accuracy. We now demonstrate this principle in vivo using blood from patients receiving total-body irradiation (TBI). Whole genome microarray analysis has identified genes responding significantly to in vivo radiation exposure in peripheral blood. A 3-nearest neighbor classifier built from the TBI patient data correctly predicted samples as exposed to 0, 1.25 or 3.75 Gy with 94% accuracy (P < 0.001) even when samples from healthy donor controls were included. The same samples were classified with 98% accuracy using a signature previously defined from ex vivo irradiation data. The samples could also be classified as exposed or not exposed with 100% accuracy. The demonstration that ex vivo irradiation is an appropriate model that can provide meaningful prediction of in vivo exposure levels, and that the signatures are robust across diverse disease states and independent sample sets, is an important advance in the application of gene expression for biodosimetry.
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Affiliation(s)
- Sunirmal Paul
- Center for Radiological Research, Department of Radiation Oncology, Columbia University Medical Center, New York, New York 10032, USA
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Swartz HM, Flood AB, Gougelet RM, Rea ME, Nicolalde RJ, Williams BB. A critical assessment of biodosimetry methods for large-scale incidents. HEALTH PHYSICS 2010; 98:95-108. [PMID: 20065671 PMCID: PMC4086260 DOI: 10.1097/hp.0b013e3181b8cffd] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Recognition is growing regarding the possibility that terrorism or large-scale accidents could result in potential radiation exposure of hundreds of thousands of people and that the present guidelines for evaluation after such an event are seriously deficient. Therefore, there is a great and urgent need for after-the-fact biodosimetric methods to estimate radiation dose. To accomplish this goal, the dose estimates must be at the individual level, timely, accurate, and plausibly obtained in large-scale disasters. This paper evaluates current biodosimetry methods, focusing on their strengths and weaknesses in estimating human radiation exposure in large-scale disasters at three stages. First, the authors evaluate biodosimetry's ability to determine which individuals did not receive a significant exposure so they can be removed from the acute response system. Second, biodosimetry's capacity to classify those initially assessed as needing further evaluation into treatment-level categories is assessed. Third, we review biodosimetry's ability to guide treatment, both short- and long-term, is reviewed. The authors compare biodosimetric methods that are based on physical vs. biological parameters and evaluate the features of current dosimeters (capacity, speed and ease of getting information, and accuracy) to determine which are most useful in meeting patients' needs at each of the different stages. Results indicate that the biodosimetry methods differ in their applicability to the three different stages, and that combining physical and biological techniques may sometimes be most effective. In conclusion, biodosimetry techniques have different properties, and knowledge of their properties for meeting the different needs for different stages will result in their most effective use in a nuclear disaster mass-casualty event.
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Affiliation(s)
- Harold M Swartz
- The EPR Center for Viable Systems, Dartmouth Medical School, Hanover, NH 03755, USA.
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