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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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Taliaferro LP, Agarwal RK, Coleman CN, DiCarlo AL, Hofmeyer KA, Loelius SG, Molinar-Inglis O, Tedesco DC, Satyamitra MM. Sex differences in radiation research. Int J Radiat Biol 2023; 100:466-485. [PMID: 37991728 PMCID: PMC10922591 DOI: 10.1080/09553002.2023.2283089] [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: 08/23/2023] [Accepted: 10/26/2023] [Indexed: 11/23/2023]
Abstract
PURPOSE The Sex Differences in Radiation Research workshop addressed the role of sex as a confounder in radiation research and its implication in real-world radiological and nuclear applications. METHODS In April 2022, HHS-wide partners from the Radiation and Nuclear Countermeasures Program, the Office of Research on Women's Health National Institutes of Health Office of Women's Health, U.S. Food and Drug Administration, and the Radiological and Nuclear Countermeasures Branch at the Biomedical Advanced Research and Development Authority conducted a workshop to address the scientific implication and knowledge gaps in understanding sex in basic and translational research. The goals of this workshop were to examine sex differences in 1. Radiation animal models and understand how these may affect radiation medical countermeasure development; 2. Biodosimetry and/or biomarkers used to assess acute radiation syndrome, delayed effects of acute radiation exposure, and/or predict major organ morbidities; 3. medical research that lacks representation from both sexes. In addition, regulatory policies that influence inclusion of women in research, and the gaps that exist in drug development and device clearance were discussed. Finally, real-world sex differences in human health scenarios were also considered. RESULTS This report provides an overview of the two-day workshop, and open discussion among academic investigators, industry researchers, and U.S. government representatives. CONCLUSIONS This meeting highlighted that current study designs lack the power to determine statistical significance based on sex, and much is unknown about the underlying factors that contribute to these differences. Investigators should accommodate both sexes in all stages of research to ensure that the outcome is robust, reproducible, and accurate, and will benefit public health.
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Affiliation(s)
- Lanyn P. Taliaferro
- Division of Allergy, Immunology, and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Radiation and Nuclear Countermeasures Program (RNCP), Rockville, MD, USA
| | - Rajeev K. Agarwal
- Office of Research on Women’s Health (ORWH), Office of the Director, NIH, Rockville, MD, USA
| | - C. Norman Coleman
- Radiation Research Program Division of Cancer Treatment and Diagnosis, Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute (NCI) and Administration for Strategic Preparedness and Response (ASPR), U.S. Department of Health and Human Services (HHS), Washington, DC, USA
| | - Andrea L. DiCarlo
- Division of Allergy, Immunology, and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Radiation and Nuclear Countermeasures Program (RNCP), Rockville, MD, USA
| | - Kimberly A. Hofmeyer
- Radiological and Nuclear Countermeasures Branch, Biomedical Advanced Research and Development Authority (BARDA), ASPR, HHS, Washington, DC, USA
| | - Shannon G. Loelius
- Radiological and Nuclear Countermeasures Branch, Biomedical Advanced Research and Development Authority (BARDA), ASPR, HHS, Washington, DC, USA
| | - Olivia Molinar-Inglis
- Previously RNCP, DAIT, NIAID, NIH; now Antivirals and Antitoxins Program, Division of CBRN Countermeasures, BARDA, ASPR, HHS, Washington, DC, USA
| | - Dana C. Tedesco
- Radiological and Nuclear Countermeasures Branch, Biomedical Advanced Research and Development Authority (BARDA), ASPR, HHS, Washington, DC, USA
| | - Merriline M. Satyamitra
- Division of Allergy, Immunology, and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Radiation and Nuclear Countermeasures Program (RNCP), Rockville, MD, USA
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3
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Pannkuk EL, Laiakis EC, Garty G, Ponnaiya B, Wu X, Shuryak I, Ghandhi SA, Amundson SA, Brenner DJ, Fornace AJ. Variable Dose Rates in Realistic Radiation Exposures: Effects on Small Molecule Markers of Ionizing Radiation in the Murine Model. Radiat Res 2023; 200:1-12. [PMID: 37212727 PMCID: PMC10410530 DOI: 10.1667/rade-22-00211.1] [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: 12/01/2022] [Accepted: 04/27/2023] [Indexed: 05/23/2023]
Abstract
Novel biodosimetry assays for use in preparedness and response to potential malicious attacks or nuclear accidents would ideally provide accurate dose reconstruction independent of the idiosyncrasies of a complex exposure to ionizing radiation. Complex exposures will consist of dose rates spanning the low dose rates (LDR) to very high-dose rates (VHDR) that need to be tested for assay validation. Here, we investigate how a range of relevant dose rates affect metabolomic dose reconstruction at potentially lethal radiation exposures (8 Gy in mice) from an initial blast or subsequent fallout exposures compared to zero or sublethal exposures (0 or 3 Gy in mice) in the first 2 days, which corresponds to an integral time individuals will reach medical facilities after a radiological emergency. Biofluids (urine and serum) were collected from both male and female 9-10-week-old C57BL/6 mice at 1 and 2 days postirradiation (total doses of 0, 3 or 8 Gy) after a VHDR of 7 Gy/s. Additionally, samples were collected after a 2-day exposure consisting of a declining dose rate (1 to 0.004 Gy/min) recapitulating the 7:10 rule-of-thumb time dependency of nuclear fallout. Overall similar perturbations were observed in both urine and serum metabolite concentrations irrespective of sex or dose rate, with the exception of xanthurenic acid in urine (female specific) and taurine in serum (VHDR specific). In urine, we developed identical multiplex metabolite panels (N6, N6,N6-trimethyllysine, carnitine, propionylcarnitine, hexosamine-valine-isoleucine, and taurine) that could identify individuals receiving potentially lethal levels of radiation from the zero or sublethal cohorts with excellent sensitivity and specificity, with creatine increasing model performance at day 1. In serum, individuals receiving a 3 or 8 Gy exposure could be identified from their pre-irradiation samples with excellent sensitivity and specificity, however, due to a lower dose response the 3 vs. 8 Gy groups could not be distinguished from each other. Together with previous results, these data indicate that dose-rate-independent small molecule fingerprints have potential in novel biodosimetry assays.
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Affiliation(s)
- Evan L. Pannkuk
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
- Center for Metabolomic Studies, Georgetown University, Washington, DC
| | - Evagelia C. Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
- Center for Metabolomic Studies, Georgetown University, Washington, DC
| | - Guy Garty
- Radiological Research Accelerator Facility, Columbia University, Irvington, New York
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Brian Ponnaiya
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Xuefeng Wu
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Igor Shuryak
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Shanaz A. Ghandhi
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Sally A. Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - David J. Brenner
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York
| | - Albert J. Fornace
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
- Center for Metabolomic Studies, Georgetown University, Washington, DC
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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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5
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Winters TA, Cassatt DR, Harrison-Peters JR, Hollingsworth BA, Rios CI, Satyamitra MM, Taliaferro LP, DiCarlo AL. Considerations of Medical Preparedness to Assess and Treat Various Populations During a Radiation Public Health Emergency. Radiat Res 2023; 199:301-318. [PMID: 36656560 PMCID: PMC10120400 DOI: 10.1667/rade-22-00148.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/21/2022] [Indexed: 01/20/2023]
Abstract
During a radiological or nuclear public health emergency, given the heterogeneity of civilian populations, it is incumbent on medical response planners to understand and prepare for a potentially high degree of interindividual variability in the biological effects of radiation exposure. A part of advanced planning should include a comprehensive approach, in which the range of possible human responses in relation to the type of radiation expected from an incident has been thoughtfully considered. Although there are several reports addressing the radiation response for special populations (as compared to the standard 18-45-year-old male), the current review surveys published literature to assess the level of consideration given to differences in acute radiation responses in certain sub-groups. The authors attempt to bring clarity to the complex nature of human biology in the context of radiation to facilitate a path forward for radiation medical countermeasure (MCM) development that may be appropriate and effective in special populations. Consequently, the focus is on the medical (as opposed to logistical) aspects of preparedness and response. Populations identified for consideration include obstetric, pediatric, geriatric, males, females, individuals of different race/ethnicity, and people with comorbidities. Relevant animal models, biomarkers of radiation injury, and MCMs are highlighted, in addition to underscoring gaps in knowledge and the need for consistent and early inclusion of these populations in research. The inclusion of special populations in preclinical and clinical studies is essential to address shortcomings and is an important consideration for radiation public health emergency response planning. Pursuing this goal will benefit the population at large by considering those at greatest risk of health consequences after a radiological or nuclear mass casualty incident.
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Affiliation(s)
- Thomas A Winters
- 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
| | - Jenna R Harrison-Peters
- 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
| | - Brynn A Hollingsworth
- 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
| | - Carmen I Rios
- 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
| | - 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
| | - Andrea L DiCarlo
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, Maryland
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6
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Shakyawar SK, Mishra NK, Vellichirammal NN, Cary L, Helikar T, Powers R, Oberley-Deegan RE, Berkowitz DB, Bayles KW, Singh VK, Guda C. A Review of Radiation-Induced Alterations of Multi-Omic Profiles, Radiation Injury Biomarkers, and Countermeasures. Radiat Res 2023; 199:89-111. [PMID: 36368026 PMCID: PMC10279411 DOI: 10.1667/rade-21-00187.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 10/24/2022] [Indexed: 11/13/2022]
Abstract
Increasing utilization of nuclear power enhances the risks associated with industrial accidents, occupational hazards, and the threat of nuclear terrorism. Exposure to ionizing radiation interferes with genomic stability and gene expression resulting in the disruption of normal metabolic processes in cells and organs by inducing complex biological responses. Exposure to high-dose radiation causes acute radiation syndrome, which leads to hematopoietic, gastrointestinal, cerebrovascular, and many other organ-specific injuries. Altered genomic variations, gene expression, metabolite concentrations, and microbiota profiles in blood plasma or tissue samples reflect the whole-body radiation injuries. Hence, multi-omic profiles obtained from high-resolution omics platforms offer a holistic approach for identifying reliable biomarkers to predict the radiation injury of organs and tissues resulting from radiation exposures. In this review, we performed a literature search to systematically catalog the radiation-induced alterations from multi-omic studies and radiation countermeasures. We covered radiation-induced changes in the genomic, transcriptomic, proteomic, metabolomic, lipidomic, and microbiome profiles. Furthermore, we have covered promising multi-omic biomarkers, FDA-approved countermeasure drugs, and other radiation countermeasures that include radioprotectors and radiomitigators. This review presents an overview of radiation-induced alterations of multi-omics profiles and biomarkers, and associated radiation countermeasures.
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Affiliation(s)
- Sushil K Shakyawar
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Nitish K Mishra
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Neetha N Vellichirammal
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Lynnette Cary
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Tomáš Helikar
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln NE 65888, USA
| | - Robert Powers
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln NE 65888, USA
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln NE 68588, USA
| | - Rebecca E Oberley-Deegan
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - David B Berkowitz
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln NE 65888, USA
| | - Kenneth W Bayles
- Department of Pathology and Microbiology, 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 20814, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Chittibabu Guda
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Center for Biomedical Informatics Research and Innovation, University of Nebraska Medical Center, Omaha, NE 68198, USA
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7
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Transcriptomes of Wet Skin Biopsies Predict Outcomes after Ionizing Radiation Exposure with Potential Dosimetric Applications in a Mouse Model. Curr Issues Mol Biol 2022; 44:3711-3734. [PMID: 36005150 PMCID: PMC9406351 DOI: 10.3390/cimb44080254] [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: 07/11/2022] [Revised: 08/08/2022] [Accepted: 08/11/2022] [Indexed: 11/18/2022] Open
Abstract
Countermeasures for radiation diagnosis, prognosis, and treatment are trailing behind the proliferation of nuclear energy and weaponry. Radiation injury mechanisms at the systems biology level are not fully understood. Here, mice skin biopsies at h2, d4, d7, d21, and d28 after exposure to 1, 3, 6, or 20 Gy whole-body ionizing radiation were evaluated for the potential application of transcriptional alterations in radiation diagnosis and prognosis. Exposure to 20 Gy was lethal by d7, while mice who received 1, 3, or 6 Gy survived the 28-day time course. A Sammon plot separated samples based on survival and time points (TPs) within lethal (20 Gy) and sublethal doses. The differences in the numbers, regulation mode, and fold change of significantly differentially transcribed genes (SDTGs, p < 0.05 and FC > 2) were identified between lethal and sublethal doses, and down and upregulation dominated transcriptomes during the first post-exposure week, respectively. The numbers of SDTGs and the percentages of upregulated ones revealed stationary downregulation post-lethal dose in contrast to responses to sublethal doses which were dynamic and largely upregulated. Longitudinal up/downregulated SDTGs ratios suggested delayed and extended responses with increasing IR doses in the sublethal range and lethal-like responses in late TPs. This was supported by the distributions of common and unique genes across TPs within each dose. Several genes with potential dosimetric marker applications were identified. Immune, fibrosis, detoxification, hematological, neurological, gastric, cell survival, migration, and proliferation radiation response pathways were identified, with the majority predicted to be activated after sublethal and inactivated after lethal exposures, particularly during the first post-exposure week.
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8
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Pannkuk EL, Laiakis EC, Garty G, Bansal S, Ponnaiya B, Wu X, Ghandhi SA, Amundson SA, Brenner DJ, Fornace AJ. Biofluid Metabolomics and Lipidomics of Mice Exposed to External Very High-Dose Rate Radiation. Metabolites 2022; 12:metabo12060520. [PMID: 35736453 PMCID: PMC9228171 DOI: 10.3390/metabo12060520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 05/26/2022] [Accepted: 05/30/2022] [Indexed: 02/01/2023] Open
Abstract
High-throughput biodosimetry methods to determine exposure to ionizing radiation (IR) that can also be easily scaled to multiple testing sites in emergency situations are needed in the event of malicious attacks or nuclear accidents that may involve a substantial number of civilians. In the event of an improvised nuclear device (IND), a complex IR exposure will have a very high-dose rate (VHDR) component from an initial blast. We have previously addressed low-dose rate (LDR, ≤1 Gy/day) exposures from internal emitters on biofluid small molecule signatures, but further research on the VHDR component of the initial blast is required. Here, we exposed 8- to 10-week-old male C57BL/6 mice to an acute dose of 3 Gy using a reference dose rate of 0.7 Gy/min or a VHDR of 7 Gy/s, collected urine and serum at 1 and 7 d, then compared the metabolite signatures using either untargeted (urine) or targeted (serum) approaches with liquid chromatography mass spectrometry platforms. A Random Forest classification approach showed strikingly similar changes in urinary signatures at 1 d post-irradiation with VHDR samples grouping closer to control samples at 7 d. Identical metabolite panels (carnitine, trigonelline, xanthurenic acid, N6,N6,N6-trimethyllysine, spermine, and hexosamine-valine-isoleucine-OH) could differentiate IR exposed individuals with high sensitivity and specificity (area under the receiver operating characteristic (AUROC) curves 0.89–1.00) irrespective of dose rate at both days. For serum, the top 25 significant lipids affected by IR exposure showed slightly higher perturbations at 0.7 Gy/min vs. 7 Gy/s; however, identical panels showed excellent sensitivity and specificity at 1 d (three hexosylceramides (16:0), (18:0), (24:0), sphingomyelin [26:1], lysophosphatidylethanolamine [22:1]). Mice could not be differentiated from control samples at 7 d for a 3 Gy exposure based on serum lipid signatures. As with LDR exposures, we found that identical biofluid small molecule signatures can identify IR exposed individuals irrespective of dose rate, which shows promise for more universal applications of metabolomics for biodosimetry.
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Affiliation(s)
- Evan L. Pannkuk
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA; (E.C.L.); (S.B.); (A.J.F.J.)
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA
- Center for Metabolomic Studies, Georgetown University, Washington, DC 20057, USA
- Correspondence:
| | - Evagelia C. Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA; (E.C.L.); (S.B.); (A.J.F.J.)
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA
- Center for Metabolomic Studies, Georgetown University, Washington, DC 20057, USA
| | - Guy Garty
- Radiological Research Accelerator Facility, Columbia University, Irvington, NY 10032, USA;
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA; (B.P.); (X.W.); (S.A.G.); (S.A.A.); (D.J.B.)
| | - Shivani Bansal
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA; (E.C.L.); (S.B.); (A.J.F.J.)
| | - Brian Ponnaiya
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA; (B.P.); (X.W.); (S.A.G.); (S.A.A.); (D.J.B.)
| | - Xuefeng Wu
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA; (B.P.); (X.W.); (S.A.G.); (S.A.A.); (D.J.B.)
| | - Shanaz A. Ghandhi
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA; (B.P.); (X.W.); (S.A.G.); (S.A.A.); (D.J.B.)
| | - Sally A. Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA; (B.P.); (X.W.); (S.A.G.); (S.A.A.); (D.J.B.)
| | - David J. Brenner
- Center for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA; (B.P.); (X.W.); (S.A.G.); (S.A.A.); (D.J.B.)
| | - Albert J. Fornace
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA; (E.C.L.); (S.B.); (A.J.F.J.)
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA
- Center for Metabolomic Studies, Georgetown University, Washington, DC 20057, USA
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9
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Liu HX, Liu QJ. Logistic role of carnitine shuttle system on radiation-induced L-carnitine and acylcarnitines alteration. Int J Radiat Biol 2022; 98:1-14. [PMID: 35384773 DOI: 10.1080/09553002.2022.2063430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 03/17/2022] [Accepted: 03/18/2022] [Indexed: 12/13/2022]
Abstract
PURPOSE With the development of radiation metabolomics, a large number of radiation-related metabolic biomarkers have been identified and validated. The L-carnitine and acylcarnitines have the potential to be the new promising candidate indicators of radiation exposure. This review summarizes the effect of carnitine shuttle system on the profile of acylcarnitines and correlates the radiation effects on upstream regulators of carnitine shuttle system with the change characteristics of L-carnitine and acylcarnitines after irradiation across different animal models as well as a few humans. CONCLUSIONS Studies report that acylcarnitines were ubiquitously elevated after irradiation, especially the free L-carnitine and short-chain acylcarnitines (C2-C5). However, the molecular mechanism underlying acylcarnitine alterations after irradiation is not fully investigated, and further studies are needed to explore the biological effect and its mechanism. The activity of the carnitine shuttle system plays a key role in the alteration of L-carnitine and acylcarnitines, and the upstream regulators of the system are known to be affected by irradiation. These evidences indicate that that there is a logistic role of carnitine shuttle system on radiation-induced L-carnitine and acylcarnitines alteration.
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Affiliation(s)
- Hai-Xiang Liu
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of 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, People's Republic of China
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10
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Pannkuk EL, Laiakis EC, Angdisen J, Jayatilake MM, Ake P, Lin LYT, Li HH, Fornace AJ. Small Molecule Signatures of Mice Lacking T-cell p38 Alternate Activation, a Model for Immunosuppression Conditions, after Total-Body Irradiation. Radiat Res 2022; 197:613-625. [PMID: 35245386 DOI: 10.1667/rade-21-00199.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 01/24/2022] [Indexed: 11/03/2022]
Abstract
Several diagnostic biodosimetry tools have been in development that may aid in radiological/nuclear emergency responses. Of these, correlating changes in non-invasive biofluid small-molecule signatures to tissue damage from ionizing radiation exposure show promise for inclusion in predictive biodosimetry models. Integral to dose reconstruction has been determining how genotypic variation in the general population will affect model performance. Here, we used a mouse model that lacks the T-cell receptor specific alternative p38 pathway [p38αβY323F, double knock-in (DKI) mice] to determine how attenuated autoimmune and inflammatory responses may affect dose reconstruction. We exposed adult male DKI mice (8-10 weeks old) to 2 and 7 Gy in parallel with wild-type mice and assessed perturbations in urine (days 1, 3, 7) and serum (day 1) using a global metabolomics approach. A multidimensional scaling plot showed excellent separation of radiation-exposed groups in wild-type mice with slightly dampened responses in DKI mice. Validated metabolite panels were developed for urine [N6,N6,N6-trimethyllysine (TML), N1-acetylspermidine, spermidine, carnitine, acylcarnitine C21H35NO5, 4-aminohippuric acid] and serum [phenylalanine, glutamine, propionylcarnitine, lysophosphatidylcholine (LysoPC 14:0), LysoPC (22:5)] to determine the area under the receiver operating characteristic curve (AUROC). For both urine and serum, excellent sensitivity and specificity (AUROC > 0.90) was observed for 0 Gy vs. 7 Gy groups irrespective of genotype using identical metabolite panels. Similarly, excellent to fair classification (AUROC > 0.75) was observed for ≤2 Gy vs. 7 Gy mice for both genotypes, however, model performance declined (AUROC < 0.75) between genotypes after irradiation. Overall, these results suggest immunosuppression should not compromise small molecule multiplex panels used in dose reconstruction for biodosimetry.
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Affiliation(s)
- Evan L Pannkuk
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Evagelia C Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Jerry Angdisen
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
| | - Meth M Jayatilake
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Pelagie Ake
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
| | - Lorreta Yun-Tien Lin
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC
| | - Heng-Hong Li
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Albert J Fornace
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
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11
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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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12
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Maan K, Baghel R, Bakhshi R, Dhariwal S, Tyagi R, Rana P. An integrative chemometric approach and correlative metabolite networking of LC-MS and 1H NMR based urine metabolomics for radiation signatures. Mol Omics 2022; 18:214-225. [PMID: 34982087 DOI: 10.1039/d1mo00399b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The increasing threat of nuclear terrorism or radiological accident has made high throughput radiation biodosimetry a requisite for the immediate response for triage. Owing to detection of subtle alterations in biological pathways before the onset of clinical conditions, metabolomics has become an important tool for studying biomarkers and the related mechanisms for radiation induced damage. Here, we have attempted to combine two detection techniques, LC-MS and 1H NMR spectroscopy, to obtain a comprehensive metabolite profile of urine at 24 h following lethal (7.5 Gy) and sub-lethal (5 Gy) irradiation in mice. Integrated data analytics using multiblock-OPLSDA (MB-OPLSDA), correlation networking and pathway analysis was used to identify metabolic disturbances associated with radiation exposure. MB-OPLSDA revealed better clustering and separation of irradiated groups compared with controls without overfitting (p-value of CV-ANOVA: 1.5 × 10-3). Metabolites identified through MB-OPLSDA, namely, taurine, creatine, citrate and 2-oxoglutarate, were found to be dose independent markers and further support and validate our earlier findings as potential radiation injury biomarkers. Integrated analysis resulted in the enhanced coverage of metabolites and better correlation networking in energy, taurine, gut flora, L-carnitine and nucleotide metabolism observed post irradiation in urine. Our study thus emphasizes the major advantage of using the two detection techniques along with integrated analysis for better detection and comprehensive understanding of disturbed metabolites in biological pathways.
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Affiliation(s)
- Kiran Maan
- Metabolomics Research Facility, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, S. K Mazumdar Road, Timarpur, Delhi-54, India. .,Department of Biomedical Sciences, Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi, India
| | - Ruchi Baghel
- Metabolomics Research Facility, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, S. K Mazumdar Road, Timarpur, Delhi-54, India.
| | - Radhika Bakhshi
- Department of Biomedical Sciences, Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi, India
| | - Seema Dhariwal
- Metabolomics Research Facility, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, S. K Mazumdar Road, Timarpur, Delhi-54, India.
| | - Ritu Tyagi
- Metabolomics Research Facility, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, S. K Mazumdar Road, Timarpur, Delhi-54, India.
| | - Poonam Rana
- Metabolomics Research Facility, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, S. K Mazumdar Road, Timarpur, Delhi-54, India.
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13
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Pannkuk EL, Laiakis EC, Girgis M, Garty GY, Morton SR, Pujol-Canadell M, Ghandhi SA, Amundson SA, Brenner DJ, Fornace AJ. Biofluid Metabolomics of Mice Exposed to External Low-Dose Rate Radiation in a Novel Irradiation System, the Variable Dose-Rate External 137Cs Irradiator. J Proteome Res 2021; 20:5145-5155. [PMID: 34585931 DOI: 10.1021/acs.jproteome.1c00638] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
An important component of ionizing radiation (IR) exposure after a radiological incident may include low-dose rate (LDR) exposures either externally or internally, such as from 137Cs deposition. In this study, a novel irradiation system, VAriable Dose-rate External 137Cs irradiatoR (VADER), was used to expose male and female mice to a variable LDR irradiation over a 30 d time span to simulate fall-out-type exposures in addition to biofluid collection from a reference dose rate (0.8 Gy/min). Radiation markers were identified by untargeted metabolomics and random forests. Mice exposed to LDR exposures were successfully identified from control groups based on their urine and serum metabolite profiles. In addition to metabolites commonly perturbed after IR exposure, we identified and validated a novel metabolite (hexosamine-valine-isoleucine-OH) that increased up to 150-fold after LDR and 80-fold after conventional exposures in urine. A multiplex panel consisting of hexosamine-valine-isoleucine-OH with other urinary metabolites (N6,N6,N6-trimethyllysine, carnitine, 1-methylnicotinamide, and α-ketoglutaric acid) achieved robust classification performance using receiver operating characteristic curve analysis, irrespective of the dose rate or sex. These results show that in terms of biodosimetry, dysregulated energy metabolism is associated with IR exposure for both LDR and conventional IR exposures. These mass spectrometry data have been deposited to the NIH data repository via Metabolomics Workbench with study IDs ST001790, ST001791, ST001792, ST001793, and ST001806.
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Affiliation(s)
- Evan L Pannkuk
- Department of Oncology, Georgetown University Medical Center, Washington, D.C. 20057, United States.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20057, United States
| | - Evagelia C Laiakis
- Department of Oncology, Georgetown University Medical Center, Washington, D.C. 20057, United States.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20057, United States
| | - Michael Girgis
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20057, United States
| | - Guy Y Garty
- Radiological Research Accelerator Facility, Columbia University, Irvington, New York 10032, United States.,Center for Radiological Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Shad R Morton
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Monica Pujol-Canadell
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Shanaz A Ghandhi
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Sally A Amundson
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - David J Brenner
- Center for Radiological Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Albert J Fornace
- Department of Oncology, Georgetown University Medical Center, Washington, D.C. 20057, United States.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20057, United States
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14
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Hong S, Pawel GT, Pei R, Lu Y. Recent progress in developing fluorescent probes for imaging cell metabolites. Biomed Mater 2021; 16. [PMID: 33915523 DOI: 10.1088/1748-605x/abfd11] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 04/29/2021] [Indexed: 01/12/2023]
Abstract
Cellular metabolites play a crucial role in promoting and regulating cellular activities, but it has been difficult to monitor these cellular metabolites in living cells and in real time. Over the past decades, iterative development and improvements of fluorescent probes have been made, resulting in the effective monitoring of metabolites. In this review, we highlight recent progress in the use of fluorescent probes for tracking some key metabolites, such as adenosine triphosphate, cyclic adenosine monophosphate, cyclic guanosine 5'-monophosphate, Nicotinamide adenine dinucleotide (NADH), reactive oxygen species, sugar, carbon monoxide, and nitric oxide for both whole cell and subcellular imaging.
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Affiliation(s)
- Shanni Hong
- Department of Medical Imaging Technology, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, People's Republic of China.,Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.,CAS Key Laboratory of Nano-Bio Interfaces, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, People's Republic of China
| | - Gregory T Pawel
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
| | - Renjun Pei
- CAS Key Laboratory of Nano-Bio Interfaces, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, People's Republic of China
| | - Yi Lu
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
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15
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Zhang Y, Li J, Zhang X, Song D, Tian T. Advances of Mechanisms-Related Metabolomics in Parkinson's Disease. Front Neurosci 2021; 15:614251. [PMID: 33613180 PMCID: PMC7887307 DOI: 10.3389/fnins.2021.614251] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 01/11/2021] [Indexed: 12/15/2022] Open
Abstract
Parkinson’s disease (PD) is a multifactorial disorder characterized by progressively debilitating dopaminergic neurodegeneration in the substantia nigra and the striatum, along with various metabolic dysfunctions and molecular abnormalities. Metabolomics is an emerging study and has been demonstrated to play important roles in describing complex human diseases by integrating endogenous and exogenous sources of alterations. Recently, an increasing amount of research has shown that metabolomics profiling holds great promise in providing unique insights into molecular pathogenesis and could be helpful in identifying candidate biomarkers for clinical detection and therapies of PD. In this review, we briefly summarize recent findings and analyze the application of molecular metabolomics in familial and sporadic PD from genetic mutations, mitochondrial dysfunction, and dysbacteriosis. We also review metabolic biomarkers to assess the functional stage and improve therapeutic strategies to postpone or hinder the disease progression.
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Affiliation(s)
- Yanyan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiao Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dongdong Song
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tian Tian
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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16
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Obrador E, Salvador R, Villaescusa JI, Soriano JM, Estrela JM, Montoro A. Radioprotection and Radiomitigation: From the Bench to Clinical Practice. Biomedicines 2020; 8:E461. [PMID: 33142986 PMCID: PMC7692399 DOI: 10.3390/biomedicines8110461] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 10/27/2020] [Accepted: 10/29/2020] [Indexed: 02/07/2023] Open
Abstract
The development of protective agents against harmful radiations has been a subject of investigation for decades. However, effective (ideal) radioprotectors and radiomitigators remain an unsolved problem. Because ionizing radiation-induced cellular damage is primarily attributed to free radicals, radical scavengers are promising as potential radioprotectors. Early development of such agents focused on thiol synthetic compounds, e.g., amifostine (2-(3-aminopropylamino) ethylsulfanylphosphonic acid), approved as a radioprotector by the Food and Drug Administration (FDA, USA) but for limited clinical indications and not for nonclinical uses. To date, no new chemical entity has been approved by the FDA as a radiation countermeasure for acute radiation syndrome (ARS). All FDA-approved radiation countermeasures (filgrastim, a recombinant DNA form of the naturally occurring granulocyte colony-stimulating factor, G-CSF; pegfilgrastim, a PEGylated form of the recombinant human G-CSF; sargramostim, a recombinant granulocyte macrophage colony-stimulating factor, GM-CSF) are classified as radiomitigators. No radioprotector that can be administered prior to exposure has been approved for ARS. This differentiates radioprotectors (reduce direct damage caused by radiation) and radiomitigators (minimize toxicity even after radiation has been delivered). Molecules under development with the aim of reaching clinical practice and other nonclinical applications are discussed. Assays to evaluate the biological effects of ionizing radiations are also analyzed.
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Affiliation(s)
- Elena Obrador
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (E.O.); (R.S.); (J.M.E.)
| | - Rosario Salvador
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (E.O.); (R.S.); (J.M.E.)
| | - Juan I. Villaescusa
- Service of Radiological Protection, Clinical Area of Medical Image, La Fe University Hospital, 46026 Valencia, Spain;
- Biomedical Imaging Research Group GIBI230, Health Research Institute (IISLaFe), La Fe University Hospital, 46026 Valencia, Spain
| | - José M. Soriano
- Food & Health Lab, Institute of Materials Science, University of Valencia, 46980 Valencia, Spain;
- Joint Research Unit in Endocrinology, Nutrition and Clinical Dietetics, University of Valencia-Health Research Institute IISLaFe, 46026 Valencia, Spain
| | - José M. Estrela
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (E.O.); (R.S.); (J.M.E.)
| | - Alegría Montoro
- Service of Radiological Protection, Clinical Area of Medical Image, La Fe University Hospital, 46026 Valencia, Spain;
- Biomedical Imaging Research Group GIBI230, Health Research Institute (IISLaFe), La Fe University Hospital, 46026 Valencia, Spain
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17
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DiCarlo AL, Perez Horta Z, Rios CI, Satyamitra MM, Taliaferro LP, Cassatt DR. Study logistics that can impact medical countermeasure efficacy testing in mouse models of radiation injury. Int J Radiat Biol 2020; 97:S151-S167. [PMID: 32909878 PMCID: PMC7987915 DOI: 10.1080/09553002.2020.1820599] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 09/05/2019] [Accepted: 10/01/2019] [Indexed: 12/02/2022]
Abstract
PURPOSE To address confounding issues that have been noted in planning and conducting studies to identify biomarkers of radiation injury, develop animal models to simulate these injuries, and test potential medical countermeasures to mitigate/treat damage caused by radiation exposure. METHODS The authors completed an intensive literature search to address several key areas that should be considered before embarking on studies to assess efficacy of medical countermeasure approaches in mouse models of radiation injury. These considerations include: (1) study variables; (2) animal selection criteria; (3) animal husbandry; (4) medical management; and (5) radiation attributes. RESULTS It is important to select mouse strains that are capable of responding to the selected radiation exposure (e.g. genetic predispositions might influence radiation sensitivity and proclivity to certain phenotypes of radiation injury), and that also react in a manner similar to humans. Gender, vendor, age, weight, and even seasonal variations are all important factors to consider. In addition, the housing and husbandry of the animals (i.e. feed, environment, handling, time of day of irradiation and animal restraint), as well as the medical management provided (e.g. use of acidified water, antibiotics, routes of administration of drugs, consideration of animal numbers, and euthanasia criteria) should all be addressed. Finally, the radiation exposure itself should be tightly controlled, by ensuring a full understanding and reporting of the radiation source, dose and dose rate, shielding and geometry of exposure, while also providing accurate dosimetry. It is important to understand how all the above factors contribute to the development of radiation dose response curves for a given animal facility with a well-defined murine model. CONCLUSIONS Many potential confounders that could impact the outcomes of studies to assess efficacy of a medical countermeasure for radiation-induced injuries are addressed, and recommendations are made to assist investigators in carrying out research that is robust, reproducible, and accurate.
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Affiliation(s)
- Andrea L DiCarlo
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, MD, USA
| | - Zulmarie Perez Horta
- 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, MD, USA
| | - Carmen I Rios
- 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, MD, USA
| | - 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, MD, USA
| | - 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, MD, USA
| | - 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, MD, USA
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18
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Satyamitra MM, Cassatt DR, Hollingsworth BA, Price PW, Rios CI, Taliaferro LP, Winters TA, DiCarlo AL. Metabolomics in Radiation Biodosimetry: Current Approaches and Advances. Metabolites 2020; 10:metabo10080328. [PMID: 32796693 PMCID: PMC7465152 DOI: 10.3390/metabo10080328] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/01/2020] [Accepted: 08/06/2020] [Indexed: 12/11/2022] Open
Abstract
Triage and medical intervention strategies for unanticipated exposure during a radiation incident benefit from the early, rapid and accurate assessment of dose level. Radiation exposure results in complex and persistent molecular and cellular responses that ultimately alter the levels of many biological markers, including the metabolomic phenotype. Metabolomics is an emerging field that promises the determination of radiation exposure by the qualitative and quantitative measurements of small molecules in a biological sample. This review highlights the current role of metabolomics in assessing radiation injury, as well as considerations for the diverse range of bioanalytical and sampling technologies that are being used to detect these changes. The authors also address the influence of the physiological status of an individual, the animal models studied, the technology and analysis employed in interrogating response to the radiation insult, and variables that factor into discovery and development of robust biomarker signatures. Furthermore, available databases for these studies have been reviewed, and existing regulatory guidance for metabolomics are discussed, with the ultimate goal of providing both context for this area of radiation research and the consideration of pathways for continued development.
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Affiliation(s)
- Merriline M. Satyamitra
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
- Correspondence: ; Tel.: +1-240-669-5432
| | - David R. Cassatt
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Brynn A. Hollingsworth
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - 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), 5601 Fishers Lane, Rockville, MD 20852, USA;
| | - Carmen I. Rios
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Lanyn P. Taliaferro
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Thomas A. Winters
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Andrea L. DiCarlo
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
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19
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Vicente E, Vujaskovic Z, Jackson IL. A Systematic Review of Metabolomic and Lipidomic Candidates for Biomarkers in Radiation Injury. Metabolites 2020; 10:E259. [PMID: 32575772 PMCID: PMC7344731 DOI: 10.3390/metabo10060259] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 06/09/2020] [Accepted: 06/13/2020] [Indexed: 12/16/2022] Open
Abstract
A large-scale nuclear event has the ability to inflict mass casualties requiring point-of-care and laboratory-based diagnostic and prognostic biomarkers to inform victim triage and appropriate medical intervention. Extensive progress has been made to develop post-exposure point-of-care biodosimetry assays and to identify biomarkers that may be used in early phase testing to predict the course of the disease. Screening for biomarkers has recently extended to identify specific metabolomic and lipidomic responses to radiation using animal models. The objective of this review was to determine which metabolites or lipids most frequently experienced perturbations post-ionizing irradiation (IR) in preclinical studies using animal models of acute radiation sickness (ARS) and delayed effects of acute radiation exposure (DEARE). Upon review of approximately 65 manuscripts published in the peer-reviewed literature, the most frequently referenced metabolites showing clear changes in IR induced injury were found to be citrulline, citric acid, creatine, taurine, carnitine, xanthine, creatinine, hypoxanthine, uric acid, and threonine. Each metabolite was evaluated by specific study parameters to determine whether trends were in agreement across several studies. A select few show agreement across variable animal models, IR doses and timepoints, indicating that they may be ubiquitous and appropriate for use in diagnostic or prognostic biomarker panels.
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Affiliation(s)
| | | | - Isabel L. Jackson
- Division of Translational Radiation Sciences, Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 21201, USA; (E.V.); (Z.V.)
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20
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Effects of Genetic Variation on Urinary Small Molecule Signatures of Mice after Exposure to Ionizing Radiation: A Study of p53 Deficiency. Metabolites 2020; 10:metabo10060234. [PMID: 32521675 PMCID: PMC7345090 DOI: 10.3390/metabo10060234] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/02/2020] [Accepted: 06/03/2020] [Indexed: 01/19/2023] Open
Abstract
Due to risks from potential exposures to ionizing radiation (IR), improved radiological countermeasures are required, as well as rapid high-throughput biodosimetry. Genotypic variation in the general population contributes to differences in radiosensitivity that may affect biodosimetry accuracy. Previous studies utilized radiosensitive mutant mouse models (Parp1−/− and Atm−/−) to determine the effects of genotypic deficiency on radiation signatures. Here, we extend this approach by examining changes in the urinary metabolome in a hematopoietic (HP) resistant mouse model (p53−/−) after IR exposure. As p53 is a primary regulator in radiation response and apoptosis, limited hematopoietic stem cell apoptosis leads to reduced mortality at doses of ~8–10 Gy but increased mortality at higher doses (>15 Gy) due to mitotic catastrophe in gastrointestinal (GI) crypt cells. Urine was collected from mice (wild-type (WT), p53+/−, and p53−/−) pre-irradiation and at 4 and 24 h after total body irradiation (TBI) (WT: 8 and 10 Gy; p53−/−: 10 Gy) for metabolic phenotyping using an ultra-performance liquid chromatography mass spectrometry (UPLC-MS) platform. Minimal differences were detected between unirradiated WT, p53+/−, and p53−/− mice. While similar perturbations were observed for metabolites involved in tryptophan, vitamin B6, and histamine pathways, glycine conjugation, and redox metabolism for WT and p53−/− mice after TBI, an overall dampened response was observed in p53-deficient mice. Despite comparable metabolite patterns between genotypes, differentiation was achieved through receiver operating characteristic curve analysis with high specificity and sensitivity for carnitine, N1-acetylspermidine, and creatine. These studies highlight that both attenuated and dampened metabolic responses due to genetic variability in the general population need to be addressed in biodosimetry frameworks.
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21
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Vera NB, Coy SL, Laiakis EC, Fornace AJ, Clasquin M, Barker CA, Pfefferkorn JA, Vouros P. Quantitation of Urinary Acylcarnitines by DMS-MS/MS Uncovers the Effects of Total Body Irradiation in Cancer Patients. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:498-507. [PMID: 32013416 PMCID: PMC7489307 DOI: 10.1021/jasms.9b00076] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Acylcarnitines have been identified in human and animal metabolomic-profiling studies as urinary markers of radiation exposure, a result which is consistent with their cytoprotective effects and roles in energy metabolism. In the present work, a rapid method for quantitation of the more abundant acylcarnitines in human urine is developed using a valuable set of samples from cancer patients who received total body irradiation (TBI) at Memorial Sloan Kettering Cancer Center. The method uses solid-phase extraction (SPE) processing followed by differential mobility spectrometry (DMS with ethyl acetate modifier) tandem mass spectrometry (ESI-DMS-MS/MS) with deuterated internal standards. The analyzed human urine samples were collected from 38 individual patients at three time points over 24 h during and after the course of radiation treatment, a design allowing each patient to act as their own control and creatinine normalization. Creatinine-normalized concentrations for nine urinary acylcarnitine (acyl-CN) species are reported. Six acyl-CN species were reduced at the 6 h point. Acetylcarnitine (C2:0-CN) and valerylcarnitine (C5:0-CN) showed recovery at 24 h, but none of the other acyl-CN species showed recovery at that point. Levels of three acyl-CN species were not significantly altered by radiation. This rapid quantitative method for clinical samples covers the short- and medium-chain acylcarnitines and has the flexibility to be expanded to cover additional radiation-linked metabolites. The human data presented here indicates the utility of the current approach as a rapid, quantitative technique with potential applications by the medical community, by space research laboratories concerned with radiation exposure, and by disaster response groups.
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Affiliation(s)
- Nicholas B. Vera
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, Massachusetts 02139 United States
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115 United States
| | - Stephen L. Coy
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115 United States
| | - Evagelia C. Laiakis
- Department of Oncology, Georgetown University, 3700 O Street NW, Washington, D.C. 20057 United States
- Department of Biochemistry and Molecular & Cellular Oncology, Georgetown University, 3700 O Street NW, Washington D.C. 20057 United States
| | - Albert J. Fornace
- Department of Oncology, Georgetown University, 3700 O Street NW, Washington, D.C. 20057 United States
- Department of Biochemistry and Molecular & Cellular Oncology, Georgetown University, 3700 O Street NW, Washington D.C. 20057 United States
| | - Michelle Clasquin
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, Massachusetts 02139 United States
| | - Christopher A. Barker
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, United States
| | - Jeffrey A. Pfefferkorn
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, Massachusetts 02139 United States
| | - Paul Vouros
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115 United States
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22
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Gramatyka M, Boguszewicz ᴌ, Ciszek M, Gabryś D, Kulik R, Sokół M. Metabolic changes in mice cardiac tissue after low-dose irradiation revealed by 1H NMR spectroscopy. JOURNAL OF RADIATION RESEARCH 2020; 61:14-26. [PMID: 31840756 PMCID: PMC6976729 DOI: 10.1093/jrr/rrz079] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 04/22/2019] [Accepted: 03/01/2019] [Indexed: 05/08/2023]
Abstract
Ionizing radiation may cause cardiotoxicity not only at high, but even at low (considered as harmless) doses, yet the molecular mechanisms of the heart's response to low doses are not clear. In this work, we used high-resolution nuclear magnetic resonance (NMR) spectroscopy to detect the early and late effects of radiation on the metabolism of murine hearts. The hearts of C57Bl/6NCrl female mice were irradiated in vivo with single 0.2 Gy or 2 Gy doses using 6 MV photons, then tissues were collected 48 h and 20 weeks after exposure. The most distinct changes in the profile of polar metabolites were detected 48 h after irradiation with 2 Gy, and included increased levels of pantothenate and glutamate as well as decreased levels of alanine, malonate, acetylcarnitine, glycine and adenosine. Significant effects of the 2 Gy dose were also observed 20 weeks after irradiation and included decreased levels of glutamine and acetylcarnitine when compared with age-matched controls. Moreover, several differences were observed between hearts irradiated with 2 Gy and analyzed either 48 h or 20 weeks after the exposure, which included changes in levels of acetylcarnitine, alanine, glycine, glutamate, glutamine, formate, myo-inositol and trimethylamine. No statistically significant effects induced by the 0.2 Gy dose were observed 20 weeks after irradiation. In general, radiation-affected compounds were associated with energy metabolism, fatty acid beta-oxidation, oxidative stress and damage to cell structures. At the same time, radiation-related effects were not detected at the level of tissue histology, which indicated a higher sensitivity of metabolomics-based tests for cardiac tissue response to radiation.
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Affiliation(s)
- Michalina Gramatyka
- Maria Sklodowska-Curie Institute - Oncology Center, Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-101 Gliwice, Poland
| | - ᴌukasz Boguszewicz
- Maria Sklodowska-Curie Institute - Oncology Center, Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-101 Gliwice, Poland
| | - Mateusz Ciszek
- Maria Sklodowska-Curie Institute - Oncology Center, Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-101 Gliwice, Poland
| | - Dorota Gabryś
- Maria Sklodowska-Curie Institute - Oncology Center, Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-101 Gliwice, Poland
| | - Roland Kulik
- Maria Sklodowska-Curie Institute - Oncology Center, Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-101 Gliwice, Poland
| | - Maria Sokół
- Maria Sklodowska-Curie Institute - Oncology Center, Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-101 Gliwice, Poland
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23
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Kultova G, Tichy A, Rehulkova H, Myslivcova-Fucikova A. The hunt for radiation biomarkers: current situation. Int J Radiat Biol 2020; 96:370-382. [PMID: 31829779 DOI: 10.1080/09553002.2020.1704909] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Purpose: The possibility of a large-scale acute radiation exposure necessitates the development of new methods that could provide a rapid assessment of the doses received by individuals using high-throughput technologies. There is also a great interest in developing new biomarkers of dose exposure, which could be used in large molecular epidemiological studies in order to correlate estimated doses received and health effects. The goal of this review was to summarize current literature focused on biological dosimetry, namely radiation-responsive biomarkers.Methods: The studies involved in this review were thoroughly selected according to the determined criteria and PRISMA guidelines.Results: We described briefly recent advances in radiation genomics and metabolomics, giving particular emphasis to proteomic analysis. The majority of studies were performed on animal models (rats, mice, and non-human primates). They have provided much beneficial information, but the most relevant tests have been done on human (oncological) patients. By inspecting the radiaiton biodosimetry literate of the last 10 years, we identified a panel of candidate markers for each -omic approach involved.Conslusions: We reviewed different methodological approaches and various biological materials, which can be exploited for dose-effect prediction. The protein biomarkers from human plasma are ideal for this specific purpose. From a plethora of candidate markers, FDXR is a very promising transcriptomic candidate, and importantly this biomarker was also confirmed by some studies at protein level in humans.
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Affiliation(s)
- Gabriela Kultova
- Department of Radiobiology, Faculty of Military Health Sciences, University of Defence, Hradec Kralove, Czech Republic.,Department of Biology, Faculty of Science, University of Hradec Králové, Hradec Kralove, Czech Republic
| | - Ales Tichy
- Department of Radiobiology, Faculty of Military Health Sciences, University of Defence, Hradec Kralove, Czech Republic
| | - Helena Rehulkova
- Department of Radiobiology, Faculty of Military Health Sciences, University of Defence, Hradec Kralove, Czech Republic
| | - Alena Myslivcova-Fucikova
- Department of Radiobiology, Faculty of Military Health Sciences, University of Defence, Hradec Kralove, Czech Republic
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24
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The Use of DMS-MS for the Quantitative Analysis of Acylcarnitines. Methods Mol Biol 2019. [PMID: 31729655 DOI: 10.1007/978-1-0716-0030-6_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Differential mobility spectrometry (DMS) is capable of separating molecules based on their size and shape. When coupled to mass spectrometry (MS), DMS reduces chemical background and enhances signal-to-noise (S/N) ratio. Flow injection analysis (FIA) is a technique used to introduce samples into the source of the DMS-MS platform. Here we describe the application of FIA-DMS-MS/MS for the analysis of urinary acylcarnitine species. More than 20 acylcarnitine species can be detected and quantified during a single FIA-DMS-MS/MS acquisition.
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25
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Baddour AAD, Apodaca LA, Alikhani L, Lu C, Minasyan H, Batra RS, Acharya MM, Baulch JE. Sex-Specific Effects of a Wartime-Like Radiation Exposure on Cognitive Function. Radiat Res 2019; 193:5-15. [DOI: 10.1667/rr15413.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Al Anoud D. Baddour
- Department of Radiation Oncology, University of California Irvine, Irvine, California 92697
| | - Lauren A. Apodaca
- Department of Radiation Oncology, University of California Irvine, Irvine, California 92697
| | - Leila Alikhani
- Department of Radiation Oncology, University of California Irvine, Irvine, California 92697
| | - Celine Lu
- Department of Radiation Oncology, University of California Irvine, Irvine, California 92697
| | - Harutyun Minasyan
- Department of Radiation Oncology, University of California Irvine, Irvine, California 92697
| | - Raja S. Batra
- Department of Radiation Oncology, University of California Irvine, Irvine, California 92697
| | - Munjal M. Acharya
- Department of Radiation Oncology, University of California Irvine, Irvine, California 92697
| | - Janet E. Baulch
- Department of Radiation Oncology, University of California Irvine, Irvine, California 92697
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26
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Lindell Jonsson E, Erngren I, Engskog M, Haglöf J, Arvidsson T, Hedeland M, Petterson C, Laurell G, Nestor M. Exploring Radiation Response in Two Head and Neck Squamous Carcinoma Cell Lines Through Metabolic Profiling. Front Oncol 2019; 9:825. [PMID: 31544064 PMCID: PMC6728927 DOI: 10.3389/fonc.2019.00825] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 08/12/2019] [Indexed: 12/27/2022] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is the sixth most common form of cancer worldwide. Radiotherapy, with or without surgery, represents the major approach to curative treatment. However, not all tumors are equally sensitive to irradiation. It is therefore of interest to apply newer system biology approaches (e.g., metabolic profiling) in squamous cancer cells with different radiosensitivities in order to provide new insights on the mechanisms of radiation response. In this study, two cultured HNSCC cell lines from the same donor, UM-SCC-74A and UM-SCC-74B, were first genotyped using Short Tandem Repeat (STR), and assessed for radiation response by the means of clonogenic survival and growth inhibition assays. Thereafter, cells were cultured, irradiated and collected for subsequent metabolic profiling analyses using liquid chromatography-mass spectrometry (LC-MS). STR verified the similarity of UM-SCC-74A and UM-SCC-74B cells, and three independent assays proved UM-SCC-74B to be clearly more radioresistant than UM-SCC-74A. The LC-MS metabolic profiling demonstrated significant differences in the intracellular metabolome of the two cell lines before irradiation, as well as significant alterations after irradiation. The most important differences between the two cell lines before irradiation were connected to nicotinic acid and nicotinamide metabolism and purine metabolism. In the more radiosensitive UM-SCC-74A cells, the most significant alterations after irradiation were linked to tryptophan metabolism. In the more radioresistant UM-SCC-74B cells, the major alterations after irradiation were connected to nicotinic acid and nicotinamide metabolism, purine metabolism, the methionine cycle as well as the serine, and glycine metabolism. The data suggest that the more radioresistant cell line UM-SCC-74B altered the metabolism to control redox-status, manage DNA-repair, and change DNA methylation after irradiation. This provides new insights on the mechanisms of radiation response, which may aid future identification of biomarkers associated with radioresistance of cancer cells.
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Affiliation(s)
| | - Ida Erngren
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Mikael Engskog
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Jakob Haglöf
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Torbjörn Arvidsson
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden.,Medical Product Agency, Uppsala, Sweden
| | - Mikael Hedeland
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Curt Petterson
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Göran Laurell
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Marika Nestor
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
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27
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Taraboletti A, Goudarzi M, Kabir A, Moon BH, Laiakis EC, Lacombe J, Ake P, Shoishiro S, Brenner D, Fornace AJ, Zenhausern F. Fabric Phase Sorptive Extraction-A Metabolomic Preprocessing Approach for Ionizing Radiation Exposure Assessment. J Proteome Res 2019; 18:3020-3031. [PMID: 31090424 PMCID: PMC7437658 DOI: 10.1021/acs.jproteome.9b00142] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The modern application of mass spectrometry-based metabolomics to the field of radiation assessment and biodosimetry has allowed for the development of prompt biomarker screenings for radiation exposure. Our previous work on radiation assessment, in easily accessible biofluids (such as urine, blood, saliva), has revealed unique metabolic perturbations in response to radiation quality, dose, and dose rate. Nevertheless, the employment of swift injury assessment in the case of a radiological disaster still remains a challenge as current sample processing can be time consuming and cause sample degradation. To address these concerns, we report a metabolomics workflow using a mass spectrometry-compatible fabric phase sorptive extraction (FPSE) technique. FPSE employs a matrix coated with sol-gel poly(caprolactone-b-dimethylsiloxane-b-caprolactone) that binds both polar and nonpolar metabolites in whole blood, eliminating serum processing steps. We confirm that the FPSE preparation technique combined with liquid chromatography-mass spectrometry can distinguish radiation exposure markers such as taurine, carnitine, arachidonic acid, α-linolenic acid, and oleic acid found 24 h after 8 Gy irradiation. We also note the effect of different membrane fibers on both metabolite extraction efficiency and the temporal stabilization of metabolites in whole blood at room temperature. These findings suggest that the FPSE approach could work in future technology to triage irradiated individuals accurately, via biomarker screening, by providing a novel method to stabilize biofluids between collection and sample analysis.
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Affiliation(s)
- Alexandra Taraboletti
- Department of Oncology, Georgetown University Medical Center, Georgetown University, 3800 Reservoir Road Northwest, Washington, District of Columbia 20057, United States
| | - Maryam Goudarzi
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Georgetown University, 3800 Reservoir Road Northwest, Washington, District of Columbia 20057, United States
- Lerner Research Institute, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, Ohio 44195, United States
| | - Abuzar Kabir
- International Forensic Research Institute, Department of Chemistry and Biochemistry, Florida International University, 11200 Southwest Eighth Street, Miami, Florida 33199, United States
| | - Bo-Hyun Moon
- Department of Oncology, Georgetown University Medical Center, Georgetown University, 3800 Reservoir Road Northwest, Washington, District of Columbia 20057, United States
| | - Evagelia C. Laiakis
- Department of Oncology, Georgetown University Medical Center, Georgetown University, 3800 Reservoir Road Northwest, Washington, District of Columbia 20057, United States
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Georgetown University, 3800 Reservoir Road Northwest, Washington, District of Columbia 20057, United States
| | - Jerome Lacombe
- Center for Applied NanoBiosience and Medicine, University of Arizona, 475 North Fifth Street, Phoenix, Arizona 85004, United States
| | - Pelagie Ake
- Department of Oncology, Georgetown University Medical Center, Georgetown University, 3800 Reservoir Road Northwest, Washington, District of Columbia 20057, United States
| | - Sueoka Shoishiro
- Center for Applied NanoBiosience and Medicine, University of Arizona, 475 North Fifth Street, Phoenix, Arizona 85004, United States
| | - David Brenner
- Center for Radiological Research, Columbia University, 630 West 168th Street, New York, New York 10032, United States
| | - Albert J. Fornace
- Department of Oncology, Georgetown University Medical Center, Georgetown University, 3800 Reservoir Road Northwest, Washington, District of Columbia 20057, United States
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Georgetown University, 3800 Reservoir Road Northwest, Washington, District of Columbia 20057, United States
| | - Frederic Zenhausern
- Center for Applied NanoBiosience and Medicine, University of Arizona, 475 North Fifth Street, Phoenix, Arizona 85004, United States
- Translational Genomics Research Institute, 445 North Fifth Street, Phoenix, Arizona 85004, United States
- Department of Basic Medical Sciences, College of Medicine Phoenix, 425 North Fifth Street, Phoenix, Arizona 85004, United States
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28
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Temporal Effects on Radiation Responses in Nonhuman Primates: Identification of Biofluid Small Molecule Signatures by Gas Chromatography⁻Mass Spectrometry Metabolomics. Metabolites 2019; 9:metabo9050098. [PMID: 31096611 PMCID: PMC6571779 DOI: 10.3390/metabo9050098] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 05/07/2019] [Accepted: 05/10/2019] [Indexed: 12/28/2022] Open
Abstract
Whole body exposure to ionizing radiation damages tissues leading to physical symptoms which contribute to acute radiation syndrome. Radiation biodosimetry aims to determine characteristic early biomarkers indicative of radiation exposure and is necessary for effective triage after an unanticipated radiological incident. Radiation metabolomics can address this aim by assessing metabolic perturbations following exposure. Gas chromatography-mass spectrometry (GC-MS) is a standardized platform ideal for compound identification. We performed GC time-of-flight MS for the global profiling of nonhuman primate urine and serum samples up to 60 d after a single 4 Gy γ-ray total body exposure. Multivariate statistical analysis showed higher group separation in urine vs. serum. We identified biofluid markers involved in amino acid, lipid, purine, and serotonin metabolism, some of which may indicate host microbiome dysbiosis. Sex differences were observed for amino acid fold changes in serum samples. Additionally, we explored mitochondrial dysfunction by tricarboxylic acid intermediate analysis in the first week with a GC tandem quadrupole MS platform. By adding this temporal component to our previous work exploring dose effects at 7 d, we observed the highest fold changes occurring at 3 d, returning closer to basal levels by 7 d. These results emphasize the utility of both MS-based metabolomics for biodosimetry and complementary analytical platforms for increased metabolome coverage.
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29
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Pannkuk EL, Laiakis EC, Gill K, Jain SK, Mehta KY, Nishita D, Bujold K, Bakke J, Gahagen J, Authier S, Chang P, Fornace AJ. Liquid Chromatography-Mass Spectrometry-Based Metabolomics of Nonhuman Primates after 4 Gy Total Body Radiation Exposure: Global Effects and Targeted Panels. J Proteome Res 2019; 18:2260-2269. [PMID: 30843397 DOI: 10.1021/acs.jproteome.9b00101] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Rapid assessment of radiation signatures in noninvasive biofluids may aid in assigning proper medical treatments for acute radiation syndrome (ARS) and delegating limited resources after a nuclear disaster. Metabolomic platforms allow for rapid screening of biofluid signatures and show promise in differentiating radiation quality and time postexposure. Here, we use global metabolomics to differentiate temporal effects (1-60 d) found in nonhuman primate (NHP) urine and serum small molecule signatures after a 4 Gy total body irradiation. Random Forests analysis differentially classifies biofluid signatures according to days post 4 Gy exposure. Eight compounds involved in protein metabolism, fatty acid β oxidation, DNA base deamination, and general energy metabolism were identified in each urine and serum sample and validated through tandem MS. The greatest perturbations were seen at 1 d in urine and 1-21 d in serum. Furthermore, we developed a targeted liquid chromatography tandem mass spectrometry (LC-MS/MS) with multiple reaction monitoring (MRM) method to quantify a six compound panel (hypoxanthine, carnitine, acetylcarnitine, proline, taurine, and citrulline) identified in a previous training cohort at 7 d after a 4 Gy exposure. The highest sensitivity and specificity for classifying exposure at 7 d after a 4 Gy exposure included carnitine and acetylcarnitine in urine and taurine, carnitine, and hypoxanthine in serum. Receiver operator characteristic (ROC) curve analysis using combined compounds show excellent sensitivity and specificity in urine (area under the curve [AUC] = 0.99) and serum (AUC = 0.95). These results highlight the utility of MS platforms to differentiate time postexposure and acquire reliable quantitative biomarker panels for classifying exposed individuals.
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Affiliation(s)
- Evan L Pannkuk
- Department of Oncology, Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington, D.C. 20007 , United States
| | - Evagelia C Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington, D.C. 20007 , United States.,Department of Biochemistry and Molecular & Cellular Biology , Georgetown University Medical Center , Washington, D.C. 20007 , United States
| | - Kirandeep Gill
- Department of Biochemistry and Molecular & Cellular Biology , Georgetown University Medical Center , Washington, D.C. 20007 , United States
| | - Shreyans K Jain
- Department of Biochemistry and Molecular & Cellular Biology , Georgetown University Medical Center , Washington, D.C. 20007 , United States
| | - Khyati Y Mehta
- Department of Oncology, Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington, D.C. 20007 , United States
| | - Denise Nishita
- SRI International , Menlo Park , California 94025 , United States
| | - Kim Bujold
- Citoxlab North America , Laval , QC H7V 4B3 , Canada
| | - James Bakke
- SRI International , Menlo Park , California 94025 , United States
| | - Janet Gahagen
- SRI International , Menlo Park , California 94025 , United States
| | - Simon Authier
- Citoxlab North America , Laval , QC H7V 4B3 , Canada
| | - Polly Chang
- SRI International , Menlo Park , California 94025 , United States
| | - Albert J Fornace
- Department of Oncology, Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington, D.C. 20007 , United States.,Department of Biochemistry and Molecular & Cellular Biology , Georgetown University Medical Center , Washington, D.C. 20007 , United States
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30
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Iizuka D, Izumi S, Suzuki F, Kamiya K. Analysis of a lectin microarray identifies altered sialylation of mouse serum glycoproteins induced by whole-body radiation exposure. JOURNAL OF RADIATION RESEARCH 2019; 60:189-196. [PMID: 30521038 PMCID: PMC6430252 DOI: 10.1093/jrr/rry100] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 09/19/2018] [Indexed: 05/08/2023]
Abstract
Microarrays containing 45 different lectins were analyzed to identify global changes in the glycosylation of serum glycoproteins from mice exposed to whole-body γ-radiation. The results showed that radiation exposure increased and decreased the relative amounts of α-2,3- and α-2,6-sialic acids, respectively. The expression of α-2,3- and α-2,6-sialyltransferase genes in the liver was analyzed to determine whether changes in their expression were responsible for the sialic acid changes. The increase in α-2,3-sialic acid correlated with St3gal5 upregulation after radiation exposure; however, a decrease in St6gal1 expression was not observed. Analysis of a PCR array of genes expressed in irradiated mouse livers revealed that irradiation did not alter the expression of most of the included genes. These results suggest that glycomic screening of serum glycoproteins using lectin microarrays can be a powerful tool for identifying radiation-induced changes in the post-translational addition of sugar moieties to proteins. In addition, the results indicate that altered sialylation of glycoproteins may be an initial response to acute radiation exposure.
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Affiliation(s)
- Daisuke Iizuka
- Department of Radiation Effects Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, Japan
- Department of Experimental Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, Japan
- Corresponding author. Department of Radiation Effects Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan. Tel: +81-43-206-3160; Fax: +81-43-206-4138;
| | - Shunsuke Izumi
- Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, 1-3-2, Kagamiyama, Higashi-Hiroshima, Japan
| | - Fumio Suzuki
- Department of Molecular Radiobiology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, Japan
| | - Kenji Kamiya
- Department of Experimental Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, Japan
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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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Chen Z, Coy SL, Pannkuk EL, Laiakis EC, Fornace AJ, Vouros P. Differential Mobility Spectrometry-Mass Spectrometry (DMS-MS) in Radiation Biodosimetry: Rapid and High-Throughput Quantitation of Multiple Radiation Biomarkers in Nonhuman Primate Urine. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:1650-1664. [PMID: 29736597 PMCID: PMC6287943 DOI: 10.1007/s13361-018-1977-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 04/19/2018] [Accepted: 04/21/2018] [Indexed: 05/21/2023]
Abstract
High-throughput methods to assess radiation exposure are a priority due to concerns that include nuclear power accidents, the spread of nuclear weapon capability, and the risk of terrorist attacks. Metabolomics, the assessment of small molecules in an easily accessible sample, is the most recent method to be applied for the identification of biomarkers of the biological radiation response with a useful dose-response profile. Profiling for biomarker identification is frequently done using an LC-MS platform which has limited throughput due to the time-consuming nature of chromatography. We present here a chromatography-free simplified method for quantitative analysis of seven metabolites in urine with radiation dose-response using urine samples provided from the Pannkuk et al. (2015) study of long-term (7-day) radiation response in nonhuman primates (NHP). The stable isotope dilution (SID) analytical method consists of sample preparation by strong cation exchange-solid phase extraction (SCX-SPE) to remove interferences and concentrate the metabolites of interest, followed by differential mobility spectrometry (DMS) ion filtration to select the ion of interest and reduce chemical background, followed by mass spectrometry (overall SID-SPE-DMS-MS). Since no chromatography is used, calibration curves were prepared rapidly, in under 2 h (including SPE) for six simultaneously analyzed radiation biomarkers. The seventh, creatinine, was measured separately after 2500× dilution. Creatinine plays a dual role, measuring kidney glomerular filtration rate (GFR), and indicating kidney damage at high doses. The current quantitative method using SID-SPE-DMS-MS provides throughput which is 7.5 to 30 times higher than that of LC-MS and provides a path to pre-clinical radiation dose estimation. Graphical Abstract.
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Affiliation(s)
- Zhidan Chen
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA
| | - Stephen L Coy
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA.
| | - Evan L Pannkuk
- Tumor Biology Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA
| | - Evagelia C Laiakis
- Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA
| | - Albert J Fornace
- Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA
- Department of Oncology, Georgetown University Medical Center, Washington, DC, 20057, USA
| | - Paul Vouros
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA.
- Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA.
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33
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Vera NB, Chen Z, Pannkuk E, Laiakis EC, Fornace AJ, Erion DM, Coy SL, Pfefferkorn JA, Vouros P. Differential mobility spectrometry (DMS) reveals the elevation of urinary acetylcarnitine in non-human primates (NHPs) exposed to radiation. JOURNAL OF MASS SPECTROMETRY : JMS 2018; 53:548-559. [PMID: 29596720 PMCID: PMC6030448 DOI: 10.1002/jms.4085] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 03/08/2018] [Accepted: 03/12/2018] [Indexed: 05/21/2023]
Abstract
Acetylcarnitine has been identified as one of several urinary biomarkers indicative of radiation exposure in adult rhesus macaque monkeys (non-human primates, NHPs). Previous work has demonstrated an up-regulated dose-response profile in a balanced male/female NHP cohort. As a contribution toward the development of metabolomics-based radiation biodosimetry in human populations and other applications of acetylcarnitine screening, we have developed a quantitative, high-throughput method for the analysis of acetylcarnitine. We employed the Sciex SelexIon DMS-MS/MS QTRAP 5500 platform coupled to flow injection analysis (FIA), thereby allowing for fast analysis times of less than 0.5 minutes per injection with no chromatographic separation. Ethyl acetate is used as a DMS modifier to reduce matrix chemical background. We have measured NHP urinary acetylcarnitine from the male cohorts that were exposed to the following radiation levels: control, 2, 4, 6, 7, and 10 Gy. Biological variability, along with calibration accuracy of the FIA-DMS-MS/MS method, indicates LOQ of 20 μM, with observed biological levels on the order of 600 μM and control levels near 10 μM. There is an apparent onset of intensified response in the transition from 6 to 10 Gy. The results demonstrate that FIA-DMS-MS/MS is a rapid, quantitative technique that can be utilized for the analysis of urinary biomarker levels for radiation biodosimetry.
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Affiliation(s)
- Nicholas B Vera
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, MA, 02139, USA
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA
| | - Zhidan Chen
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA
| | - Evan Pannkuk
- Georgetown University, 3700 O Street NW, Washington, DC, 20057, USA
| | | | - Albert J Fornace
- Georgetown University, 3700 O Street NW, Washington, DC, 20057, USA
| | - Derek M Erion
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, MA, 02139, USA
| | - Stephen L Coy
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA
| | - Jeffrey A Pfefferkorn
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, MA, 02139, USA
| | - Paul Vouros
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA
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Pannkuk EL, Laiakis EC, Fornace AJ, Fatanmi OO, Singh VK. A Metabolomic Serum Signature from Nonhuman Primates Treated with a Radiation Countermeasure, Gamma-tocotrienol, and Exposed to Ionizing Radiation. HEALTH PHYSICS 2018; 115:3-11. [PMID: 29787425 PMCID: PMC5967639 DOI: 10.1097/hp.0000000000000776] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The search for and development of radiation countermeasures to treat acute lethal radiation injury has been underway for the past six decades, resulting in the identification of multiple classes of radiation countermeasures. However, to date only granulocyte colony-stimulating factor (Neupogen) and PEGylated granulocyte colony-stimulating factor (Neulasta) have been approved by the U.S. Food and Drug Administration for the treatment of hematopoietic acute radiation syndrome. Gamma-tocotrienol has demonstrated radioprotective efficacy in murine and nonhuman primate models. Currently, this agent is under advanced development as a radioprotector, and the authors are trying to identify its efficacy biomarkers. In this study, global metabolomic changes were analyzed using ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry. The pilot study using 16 nonhuman primates (8 nonhuman primates each in gamma-tocotrienol- and vehicle-treated groups), with samples obtained from gamma-tocotrienol-treated and irradiated nonhuman primates, demonstrates several metabolites that are altered after irradiation, including compounds involved in fatty acid beta-oxidation, purine catabolism, and amino acid metabolism. The machine-learning algorithm, Random Forest, separated control, irradiated gamma-tocotrienol-treated, and irradiated vehicle-treated nonhuman primates at 12 h and 24 h as evident in a multidimensional scaling plot. Primary metabolites validated included carnitine/acylcarnitines, amino acids, creatine, and xanthine. Overall, gamma-tocotrienol administration reduced high fluctuations in serum metabolite levels, suggesting an overall beneficial effect on animals exposed to radiation. This initial assessment also highlights the utility of metabolomics in determining underlying physiological mechanisms responsible for the radioprotective efficacy of gamma-tocotrienol.
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Affiliation(s)
- Evan L. Pannkuk
- Tumor Biology Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA
| | - Evagelia C. Laiakis
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA
| | - Albert J. Fornace
- Tumor Biology Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA
| | - Oluseyi O. Fatanmi
- Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
| | - Vijay K. Singh
- Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
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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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36
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Singh VK, Olabisi AO. Nonhuman primates as models for the discovery and development of radiation countermeasures. Expert Opin Drug Discov 2017; 12:695-709. [PMID: 28441902 DOI: 10.1080/17460441.2017.1323863] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Despite significant scientific advances over the past six decades toward the development of safe and effective radiation countermeasures for humans using animal models, only two pharmaceutical agents have been approved by United States Food and Drug Administration (US FDA) for hematopoietic acute radiation syndrome (H-ARS). Additional research efforts are needed to further develop large animal models for improving the prediction of clinical safety and effectiveness of radiation countermeasures for ARS and delayed effects of acute radiation exposure (DEARE) in humans. Area covered: The authors review the suitability of animal models for the development of radiation countermeasures for ARS following the FDA Animal Rule with a special focus on nonhuman primate (NHP) models of ARS. There are seven centers in the United States currently conducting studies with irradiated NHPs, with the majority of studies being conducted with rhesus monkeys. Expert opinion: The NHP model is considered the gold standard animal model for drug development and approval by the FDA. The lack of suitable substitutes for NHP models for predicting response in humans serves as a bottleneck for the development of radiation countermeasures. Additional large animal models need to be characterized to support the development and FDA-approval of new radiation countermeasures.
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Affiliation(s)
- Vijay K Singh
- a Department of Pharmacology and Molecular Therapeutics , F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences , Bethesda , MD , USA.,b Armed Forces Radiobiology Research Institute , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
| | - Ayodele O Olabisi
- b Armed Forces Radiobiology Research Institute , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
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Pannkuk EL, Laiakis EC, Authier S, Wong K, Fornace AJ. Gas Chromatography/Mass Spectrometry Metabolomics of Urine and Serum from Nonhuman Primates Exposed to Ionizing Radiation: Impacts on the Tricarboxylic Acid Cycle and Protein Metabolism. J Proteome Res 2017; 16:2091-2100. [PMID: 28351153 PMCID: PMC5720681 DOI: 10.1021/acs.jproteome.7b00064] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Ionizing radiation (IR) directly damages cells and tissues or indirectly damages them through reactive free radicals that may lead to longer term adverse sequelae such as cancers, persistent inflammation, or possible death. Potential exposures include nuclear reactor accidents, improper disposal of equipment containing radioactive materials or medical errors, and terrorist attacks. Metabolomics (comprehensive analysis of compounds <1 kDa) by mass spectrometry (MS) has been proposed as a tool for high-throughput biodosimetry and rapid assessment of exposed dose and triage needed. While multiple studies have been dedicated to radiation biomarker discovery, many have utilized liquid chromatography (LC) MS platforms that may not detect particular compounds (e.g., small carboxylic acids or isomers) that complementary analytical tools, such as gas chromatography (GC) time-of-flight (TOF) MS, are ideal for. The current study uses global GC-TOF-MS metabolomics to complement previous LC-MS analyses on nonhuman primate biofluids (urine and serum) 7 days after exposure to 2, 4, 6, 7, and 10 Gy IR. Multivariate data analysis was used to visualize differences between control and IR exposed groups. Univariate analysis was used to determine a combined 26 biomarkers in urine and serum that significantly changed after exposure to IR. We found several metabolites involved in tricarboxylic acid cycle function, amino acid metabolism, and host microbiota that were not previously detected by global and targeted LC-MS studies.
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Affiliation(s)
- Evan L. Pannkuk
- Tumor Biology Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States
| | - Evagelia C. Laiakis
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20057, United States
| | - Simon Authier
- CiToxLAB North America, Laval, Quebec H7V 4B3, Canada
| | - Karen Wong
- CiToxLAB North America, Laval, Quebec H7V 4B3, Canada
| | - Albert J. Fornace
- Tumor Biology Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057, United States
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20057, United States
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Iizuka D, Yoshioka S, Kawai H, Izumi S, Suzuki F, Kamiya K. Metabolomic screening using ESI-FT MS identifies potential radiation-responsive molecules in mouse urine. JOURNAL OF RADIATION RESEARCH 2017; 58:273-280. [PMID: 27974505 PMCID: PMC5619916 DOI: 10.1093/jrr/rrw112] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 09/23/2016] [Indexed: 05/24/2023]
Abstract
The demand for establishment of high-throughput biodosimetric methods is increasing. Our aim in this study was to identify low-molecular-weight urinary radiation-responsive molecules using electrospray ionization Fourier transform mass spectrometry (ESI-FT MS), and our final goal was to develop a sensitive biodosimetry technique that can be applied in the early triage of a radiation emergency medical system. We identified nine metabolites by statistical comparison of mouse urine before and 8 h after irradiation. Time-course analysis showed that, of these metabolites, thymidine and either thymine or imidazoleacetic acid were significantly increased dose-dependently 8 h after radiation exposure; these molecules have already been reported as potential radiation biomarkers. Phenyl glucuronide was significantly decreased 8 h after radiation exposure, irrespective of the dose. Histamine and 1-methylhistamine were newly identified by MS/MS and showed significant, dose-dependent increases 72 h after irradiation. Quantification of 1-methylhistamine by enzyme-linked immunosorbent assay (ELISA) analysis also showed a significant increase 72 h after 4 Gy irradiation. These results suggest that urinary metabolomics screening using ESI-FT MS can be a powerful tool for identifying promising radiation-responsive molecules, and that urinary 1-methylhistamine is a potential radiation-responsive molecule for acute, high-dose exposure.
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Affiliation(s)
- Daisuke Iizuka
- Department of Experimental Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553, Japan
- Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, 1-3-2, Kagamiyama, Higashi-Hiroshima 739-8511, Japan
| | - Susumu Yoshioka
- Department of Molecular Radiobiology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553, Japan
| | - Hidehiko Kawai
- Department of Experimental Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553, Japan
- Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, 1-3-2, Kagamiyama, Higashi-Hiroshima 739-8511, Japan
| | - Shunsuke Izumi
- Department of Molecular Radiobiology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553, Japan
| | - Fumio Suzuki
- Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, 1-3-2, Kagamiyama, Higashi-Hiroshima 739-8511, Japan
| | - Kenji Kamiya
- Department of Experimental Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553, Japan
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Golla S, Golla JP, Krausz KW, Manna SK, Simillion C, Beyoğlu D, Idle JR, Gonzalez FJ. Metabolomic Analysis of Mice Exposed to Gamma Radiation Reveals a Systemic Understanding of Total-Body Exposure. Radiat Res 2017; 187:612-629. [PMID: 28467754 DOI: 10.1667/rr14592.1] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Diagnostic markers are needed for accidental or deliberate radiation exposure that could cause acute and chronic radiation toxicity. Biomarkers of temporal, dose-dependent, aging-attenuated and multiple radiation exposures have been previously described by others. However, the physiological origin and biochemical networks that generate these biomarkers and their association at the molecular level have yet to be explored. Hence, the discovery and identification of total-body-irradiation-induced tissue specific biomarkers remains an enormous challenge within radiation biodosimetry research. To determine the tissue level response of total-body exposure (6 Gy), metabolomics analysis was carried out on radiosensitive tissues bone marrow, ileum, liver, muscle and lung as well as serum and on urine within 12 h postirradiation. Differences in the metabolic signatures between the sham and gamma-irradiated groups were analyzed by hydrophilic interaction liquid chromatography (HILIC)-based ultra-performance liquid chromatography-electrospray ionization-quadrupole time-of-flight mass spectrometry (UPLC-ESI-QTOFMS). A panel of 67 biomarkers identified in radiosensitive tissues and biofluids (serum and urine) at a 6 Gy dose. Among the identified biomarkers, 3-methylglutarylcarnitine (3-MGC) was found to be a novel metabolite in liver, serum and urine that could potentially be an early radiation response marker. The degree of metabolic changes among different tissues showed perturbations in pathways including DNA methylation, energy, nucleic acid, amino acid, glutathione and bile acid metabolism. These results highlight metabolomics as a potential novel approach to understand functional alterations in the metabolome that could be adapted for use in the rapid assessment of radiation exposure and triage protocols in the case of nuclear incidents.
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Affiliation(s)
- Srujana Golla
- a Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Jaya Prakash Golla
- a Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Kristopher W Krausz
- a Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Soumen K Manna
- a Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Cedric Simillion
- b Interfaculty Bioinformatics Unit and SIB Swiss Institute of Bioinformatics, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland.,c Department of Clinical Research, University of Bern, Murtenstrasse 35, 3008 Bern, Switzerland
| | - Diren Beyoğlu
- c Department of Clinical Research, University of Bern, Murtenstrasse 35, 3008 Bern, Switzerland
| | - Jeffrey R Idle
- a Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,c Department of Clinical Research, University of Bern, Murtenstrasse 35, 3008 Bern, Switzerland
| | - Frank J Gonzalez
- a Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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40
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Pannkuk EL, Fornace AJ, Laiakis EC. Metabolomic applications in radiation biodosimetry: exploring radiation effects through small molecules. Int J Radiat Biol 2017; 93:1151-1176. [PMID: 28067089 DOI: 10.1080/09553002.2016.1269218] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE Exposure of the general population to ionizing radiation has increased in the past decades, primarily due to long distance travel and medical procedures. On the other hand, accidental exposures, nuclear accidents, and elevated threats of terrorism with the potential detonation of a radiological dispersal device or improvised nuclear device in a major city, all have led to increased needs for rapid biodosimetry and assessment of exposure to different radiation qualities and scenarios. Metabolomics, the qualitative and quantitative assessment of small molecules in a given biological specimen, has emerged as a promising technology to allow for rapid determination of an individual's exposure level and metabolic phenotype. Advancements in mass spectrometry techniques have led to untargeted (discovery phase, global assessment) and targeted (quantitative phase) methods not only to identify biomarkers of radiation exposure, but also to assess general perturbations of metabolism with potential long-term consequences, such as cancer, cardiovascular, and pulmonary disease. CONCLUSIONS Metabolomics of radiation exposure has provided a highly informative snapshot of metabolic dysregulation. Biomarkers in easily accessible biofluids and biospecimens (urine, blood, saliva, sebum, fecal material) from mouse, rat, and minipig models, to non-human primates and humans have provided the basis for determination of a radiation signature to assess the need for medical intervention. Here we provide a comprehensive description of the current status of radiation metabolomic studies for the purpose of rapid high-throughput radiation biodosimetry in easily accessible biofluids and discuss future directions of radiation metabolomics research.
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Affiliation(s)
- Evan L Pannkuk
- a Tumor Biology Program , Lombardi Comprehensive Cancer Center, Georgetown University , Washington DC , USA
| | - Albert J Fornace
- b Molecular Oncology , Lombardi Comprehensive Cancer Center, Georgetown University , Washington DC , USA.,c Department of Biochemistry and Molecular and Cellular Biology , Georgetown University , Washington DC , USA
| | - Evagelia C Laiakis
- c Department of Biochemistry and Molecular and Cellular Biology , Georgetown University , Washington DC , USA
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Hall J, Jeggo PA, West C, Gomolka M, Quintens R, Badie C, Laurent O, Aerts A, Anastasov N, Azimzadeh O, Azizova T, Baatout S, Baselet B, Benotmane MA, Blanchardon E, Guéguen Y, Haghdoost S, Harms-Ringhdahl M, Hess J, Kreuzer M, Laurier D, Macaeva E, Manning G, Pernot E, Ravanat JL, Sabatier L, Tack K, Tapio S, Zitzelsberger H, Cardis E. Ionizing radiation biomarkers in epidemiological studies - An update. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2017; 771:59-84. [PMID: 28342453 DOI: 10.1016/j.mrrev.2017.01.001] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 01/09/2017] [Indexed: 01/13/2023]
Abstract
Recent epidemiology studies highlighted the detrimental health effects of exposure to low dose and low dose rate ionizing radiation (IR): nuclear industry workers studies have shown increased leukaemia and solid tumour risks following cumulative doses of <100mSv and dose rates of <10mGy per year; paediatric patients studies have reported increased leukaemia and brain tumours risks after doses of 30-60mGy from computed tomography scans. Questions arise, however, about the impact of even lower doses and dose rates where classical epidemiological studies have limited power but where subsets within the large cohorts are expected to have an increased risk. Further progress requires integration of biomarkers or bioassays of individual exposure, effects and susceptibility to IR. The European DoReMi (Low Dose Research towards Multidisciplinary Integration) consortium previously reviewed biomarkers for potential use in IR epidemiological studies. Given the increased mechanistic understanding of responses to low dose radiation the current review provides an update covering technical advances and recent studies. A key issue identified is deciding which biomarkers to progress. A roadmap is provided for biomarker development from discovery to implementation and used to summarise the current status of proposed biomarkers for epidemiological studies. Most potential biomarkers remain at the discovery stage and for some there is sufficient evidence that further development is not warranted. One biomarker identified in the final stages of development and as a priority for further research is radiation specific mRNA transcript profiles.
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Affiliation(s)
- Janet Hall
- Centre de Recherche en Cancérologie de Lyon, INSERM 1052, CNRS 5286, Univ Lyon, Université Claude Bernard, Lyon 1, Lyon, F-69424, France.
| | - Penny A Jeggo
- Genome Damage and Stability Centre, School of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9RQ, United Kingdom
| | - Catharine West
- Translational Radiobiology Group, Institute of Cancer Sciences, The University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, M20 4BX, United Kingdom
| | - Maria Gomolka
- Federal Office for Radiation Protection, Department of Radiation Protection and Health, D-85764 Neuherberg, Germany
| | - Roel Quintens
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, United Kingdom
| | - Olivier Laurent
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - An Aerts
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Nataša Anastasov
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Omid Azimzadeh
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Tamara Azizova
- Southern Urals Biophysics Institute, Clinical Department, Ozyorsk, Russia
| | - Sarah Baatout
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Cell Systems and Imaging Research Group, Department of Molecular Biotechnology, Ghent University, B-9000 Ghent, Belgium
| | - Bjorn Baselet
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Pole of Pharmacology, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, B-1200 Brussels, Belgium
| | - Mohammed A Benotmane
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium
| | - Eric Blanchardon
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Yann Guéguen
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Siamak Haghdoost
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE 106 91 Stockholm, Sweden
| | - Mats Harms-Ringhdahl
- Centre for Radiation Protection Research, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE 106 91 Stockholm, Sweden
| | - Julia Hess
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Michaela Kreuzer
- Federal Office for Radiation Protection, Department of Radiation Protection and Health, D-85764 Neuherberg, Germany
| | - Dominique Laurier
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Ellina Macaeva
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK·CEN, B-2400 Mol, Belgium; Cell Systems and Imaging Research Group, Department of Molecular Biotechnology, Ghent University, B-9000 Ghent, Belgium
| | - Grainne Manning
- Cancer Mechanisms and Biomarkers group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, United Kingdom
| | - Eileen Pernot
- INSERM U897, Université de Bordeaux, F-33076 Bordeaux cedex, France
| | - Jean-Luc Ravanat
- Laboratoire des Lésions des Acides Nucléiques, Univ. Grenoble Alpes, INAC-SCIB, F-38000 Grenoble, France; Commissariat à l'Énergie Atomique, INAC-SyMMES, F-38000 Grenoble, France
| | - Laure Sabatier
- Commissariat à l'Énergie Atomique, BP6, F-92265 Fontenay-aux-Roses, France
| | - Karine Tack
- Institut de Radioprotection et de Sûreté Nucléaire, F-92260 Fontenay-aux-Roses, France
| | - Soile Tapio
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Horst Zitzelsberger
- Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Institute of Radiation Biology, D-85764 Neuherberg, Germany
| | - Elisabeth Cardis
- Barcelona Institute of Global Health (ISGlobal), Centre for Research in Environmental Epidemiology, Radiation Programme, Barcelona Biomedical Research Park, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF) (MTD formerly), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
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Sproull M, Camphausen K. State-of-the-Art Advances in Radiation Biodosimetry for Mass Casualty Events Involving Radiation Exposure. Radiat Res 2016; 186:423-435. [PMID: 27710702 DOI: 10.1667/rr14452.1] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
With the possibility of large-scale terrorist attacks around the world, the need for modeling and development of new medical countermeasures for potential future chemical, biological, radiological and nuclear (CBRN) has been well established. Project Bioshield, initiated in 2004, provided a framework to develop and expedite research in the field of CBRN exposures. To respond to large-scale population exposures from a nuclear event or radiation dispersal device (RDD), new methods for determining received dose using biological modeling became necessary. The field of biodosimetry has advanced significantly beyond this original initiative, with expansion into the fields of genomics, proteomics, metabolomics and transcriptomics. Studies are ongoing to evaluate the use of lymphocyte kinetics for dose assessment, as well as the development of field-deployable EPR technology. In addition, expansion of traditional cytogenetic assessment methods through the use of automated platforms and the development of laboratory surge capacity networks have helped to advance our biodefense preparedness. In this review of the latest advances in the field of biodosimetry we evaluate our progress and identify areas that still need to be addressed to achieve true field-deployment readiness.
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Affiliation(s)
- Mary Sproull
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland
| | - Kevin Camphausen
- Radiation Oncology Branch, National Cancer Institute, Bethesda, Maryland
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Chen Z, Coy SL, Pannkuk EL, Laiakis EC, Hall AB, Fornace AJ, Vouros P. Rapid and High-Throughput Detection and Quantitation of Radiation Biomarkers in Human and Nonhuman Primates by Differential Mobility Spectrometry-Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2016; 27:1626-36. [PMID: 27392730 PMCID: PMC5018447 DOI: 10.1007/s13361-016-1438-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 06/02/2016] [Accepted: 06/16/2016] [Indexed: 05/04/2023]
Abstract
Radiation exposure is an important public health issue due to a range of accidental and intentional threats. Prompt and effective large-scale screening and appropriate use of medical countermeasures (MCM) to mitigate radiation injury requires rapid methods for determining the radiation dose. In a number of studies, metabolomics has identified small-molecule biomarkers responding to the radiation dose. Differential mobility spectrometry-mass spectrometry (DMS-MS) has been used for similar compounds for high-throughput small-molecule detection and quantitation. In this study, we show that DMS-MS can detect and quantify two radiation biomarkers, trimethyl-L-lysine (TML) and hypoxanthine. Hypoxanthine is a human and nonhuman primate (NHP) radiation biomarker and metabolic intermediate, whereas TML is a radiation biomarker in humans but not in NHP, which is involved in carnitine synthesis. They have been analyzed by DMS-MS from urine samples after a simple strong cation exchange-solid phase extraction (SCX-SPE). The dramatic suppression of background and chemical noise provided by DMS-MS results in an approximately 10-fold reduction in time, including sample pretreatment time, compared with liquid chromatography-mass spectrometry (LC-MS). DMS-MS quantitation accuracy has been verified by validation testing for each biomarker. Human samples are not yet available, but for hypoxanthine, selected NHP urine samples (pre- and 7-d-post 10 Gy exposure) were analyzed, resulting in a mean change in concentration essentially identical to that obtained by LC-MS (fold-change 2.76 versus 2.59). These results confirm the potential of DMS-MS for field or clinical first-level rapid screening for radiation exposure. Graphical Abstract ᅟ.
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Affiliation(s)
- Zhidan Chen
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA
| | - Stephen L Coy
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA.
| | - Evan L Pannkuk
- Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA
| | - Evagelia C Laiakis
- Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA
| | - Adam B Hall
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA
| | - Albert J Fornace
- Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, 22254, Saudi Arabia
| | - Paul Vouros
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA.
- Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA.
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Laiakis EC, Strawn SJ, Brenner DJ, Fornace AJ. Assessment of Saliva as a Potential Biofluid for Biodosimetry: A Pilot Metabolomics Study in Mice. Radiat Res 2016; 186:92-7. [PMID: 27332953 DOI: 10.1667/rr14433.1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Metabolomic analysis of easily accessible biofluids has provided numerous biomarkers in urine and blood for biodosimetric purposes. In this pilot study we assessed saliva for its utility in biodosimetry using a mouse model. Mice were exposed to 0.5, 3 and 8 Gy total-body gamma irradiation and saliva was collected on day 1 and 7 postirradiation. Global metabolomic profiling was conducted through liquid chromatography mass spectrometry and metabolites were positively identified using tandem mass spectrometry. Multivariate data analysis revealed distinct metabolic profiles for all groups at day 1, whereas at day 7 the two lower dose profiles appeared to have minimal differences. Metabolites that were identified include amino acids and fatty acids, and intermediates of the nicotinate and nicotinamide metabolism. The specificity and sensitivity of the radiation signature, as expected, was higher for the 8 Gy dose at both time points, as determined through generation of receiver operating characteristic curves. To the best of our knowledge, this is the first metabolomics study in saliva of irradiated mice to demonstrate the utility of this biofluid as a potential matrix for identification of radiation and dose-specific biomarkers.
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Affiliation(s)
- Evagelia C Laiakis
- a Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC
| | | | | | - Albert J Fornace
- a Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC.,d Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
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45
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Laiakis EC, Pannkuk EL, Diaz-Rubio ME, Wang YW, Mak TD, Simbulan-Rosenthal CM, Brenner DJ, Fornace AJ. Implications of genotypic differences in the generation of a urinary metabolomics radiation signature. Mutat Res 2016; 788:41-9. [PMID: 27040378 PMCID: PMC4887295 DOI: 10.1016/j.mrfmmm.2016.03.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Revised: 03/04/2016] [Accepted: 03/24/2016] [Indexed: 02/04/2023]
Abstract
The increased threat of radiological terrorism and accidental nuclear exposures, together with increased usage of radiation-based medical procedures, has made necessary the development of minimally invasive methods for rapid identification of exposed individuals. Genetically predisposed radiosensitive individuals comprise a significant number of the population and require specialized attention and treatments after such events. Metabolomics, the assessment of the collective small molecule content in a given biofluid or tissue, has proven effective in the rapid identification of radiation biomarkers and metabolic perturbations. To investigate how the genotypic background may alter the ionizing radiation (IR) signature, we analyzed urine from Parp1(-/-) mice, as a model radiosensitive genotype, exposed to IR by utilizing the analytical power of liquid chromatography coupled with mass spectrometry (LC-MS), as urine has been thoroughly investigated in wild type (WT) mice in previous studies from our laboratory. Samples were collected at days one and three after irradiation, time points that are important for the early and efficient triage of exposed individuals. Time-dependent perturbations in metabolites were observed in the tricarboxylic acid pathway (TCA). Other differentially excreted metabolites included amino acids and metabolites associated with dysregulation of energy metabolism pathways. Time-dependent apoptotic pathway activation between WT and mutant mice following IR exposure may explain the altered excretion patterns, although the origin of the metabolites remains to be determined. This first metabolomics study in urine from radiation exposed genetic mutant animal models provides evidence that this technology can be used to dissect the effects of genotoxic agents on metabolism by assessing easily accessible biofluids and identify biomarkers of radiation exposure. Applications of metabolomics could be incorporated in the future to further elucidate the effects of IR on the metabolism of Parp1(-/-) genotype by assessing individual tissues.
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Affiliation(s)
- Evagelia C Laiakis
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington DC, USA.
| | - Evan L Pannkuk
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington DC, USA
| | - Maria Elena Diaz-Rubio
- Pediatrics, Division of Developmental Nutrition, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Yi-Wen Wang
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington DC, USA
| | - Tytus D Mak
- Mass Spectrometry Data Center, National Institute of Standards and Technology (NIST), Gaithersburg MD, USA
| | | | | | - Albert J Fornace
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington DC, USA; Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC, USA; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 22254, Saudi Arabia
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Pannkuk EL, Laiakis EC, Authier S, Wong K, Fornace AJ. Targeted Metabolomics of Nonhuman Primate Serum after Exposure to Ionizing Radiation: Potential Tools for High-throughput Biodosimetry. RSC Adv 2016; 6:51192-51202. [PMID: 28367319 PMCID: PMC5373493 DOI: 10.1039/c6ra07757a] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
There is a need for research to rapidly determine an individual's absorbed dose and its potential health effects after a potential radiological or nuclear event that could expose large portions of a population to ionizing radiation (IR). Studies on biomarker identification after radiation exposure could aid in biodosimetry, identifying individual dose absorbed, as well as biologic response, and administering immediate and proper medical care. Metabolomics on easily accessible biofluids is an emerging field with potential for high-throughput biodosimetry. While tremendous effort has been put into obtaining discovery based global radiation signatures from a number of biofluids and model organisms, quantitative targeted analysis on a subset of known radiation biomarkers is required to develop an optimized panel of biomarkers for future clinical applications. The current study analyzes levels of several known broad chemical groups (acylcarnitines, amino acids, phosphatidylcholines, and biogenic amines) affected by IR in serum from nonhuman primates (NHP) 7 days after exposure through multiple reaction monitoring (MRM) analysis with a triple quadrupole mass spectrometry (MS) platform. We identified several novel metabolites affected by IR exposure through univariate and unsupervised multivariate analyses. Levels of acylcarnitines, amino acids, and phospholipids were perturbed indicating altered protein metabolism, fatty acid β-oxidation, and inflammation. Fold changes in carnitine and short-chain acylcarnitines (acetylcarnitine, propionylcarnitine, butyrylcarnitine, and valerylcarnitine) complement previous global radiation signatures on NHP; notably, the levels of change were lower than previously observed in urine. Decreased levels of glutamate, citrulline, and arginine after IR are biomarkers indicating gastrointestinal syndrome and perturbations to the urea cycle. Sex differences were also assessed and were more prevalent in circulating acylcarnitines and phospholipids after IR exposure. These biomarkers may be combined with previously described compounds from DNA damage to develop a defined metabolomic biodosimetry panel to be analyzed by MS platforms, which are increasingly available in clinical laboratories.
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Affiliation(s)
- Evan L. Pannkuk
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Evagelia C. Laiakis
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | | | | | - Albert J. Fornace
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
- Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
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Pannkuk EL, Laiakis EC, Mak TD, Astarita G, Authier S, Wong K, Fornace AJ. A Lipidomic and Metabolomic Serum Signature from Nonhuman Primates Exposed to Ionizing Radiation. Metabolomics 2016; 12:80. [PMID: 28220056 PMCID: PMC5314995 DOI: 10.1007/s11306-016-1010-0] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
INTRODUCTION Due to dangers associated with potential accidents from nuclear energy and terrorist threats, there is a need for high-throughput biodosimetry to rapidly assess individual doses of radiation exposure. Lipidomics and metabolomics are becoming common tools for determining global signatures after disease or other physical insult and provide a "snapshot" of potential cellular damage. OBJECTIVES The current study assesses changes in the nonhuman primate (NHP) serum lipidome and metabolome 7 days following exposure to ionizing radiation (IR). METHODS Serum sample lipids and metabolites were extracted using a biphasic liquid-liquid extraction and analyzed by ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry. Global radiation signatures were acquired in data-independent mode. RESULTS Radiation exposure caused significant perturbations in lipid metabolism, affecting all major lipid species, including free fatty acids, glycerolipids, glycerophospholipids and esterified sterols. In particular, we observed a significant increase in the levels of polyunsaturated fatty acids (PUFA)-containing lipids in the serum of NHPs exposed to 10 Gy radiation, suggesting a primary role played by PUFAs in the physiological response to IR. Metabolomics profiling indicated an increase in the levels of amino acids, carnitine, and purine metabolites in the serum of NHPs exposed to 10 Gy radiation, suggesting perturbations to protein digestion/absorption, biological oxidations, and fatty acid β-oxidation. CONCLUSIONS This is the first report to determine changes in the global NHP serum lipidome and metabolome following radiation exposure and provides information for developing metabolomic biomarker panels in human-based biodosimetry.
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Affiliation(s)
- Evan L. Pannkuk
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Evagelia C. Laiakis
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
| | - Tytus D. Mak
- Mass Spectrometry Data Center, National Institute of Standards and Technology, Gaithersburg, MD
| | - Giuseppe Astarita
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
- Health Sciences, Waters Corporation, Milford, MA
| | | | | | - Albert J. Fornace
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
- Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
- Address for correspondence: Georgetown University, 3970 Reservoir Road, NW, New, Research Building, Room E504, Washington, DC 20057, , Phone: 202-687-7843, Fax: 202-687-3140
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Abstract
Metabolomics, which is the profiling of metabolites in biofluids, cells and tissues, is routinely applied as a tool for biomarker discovery. Owing to innovative developments in informatics and analytical technologies, and the integration of orthogonal biological approaches, it is now possible to expand metabolomic analyses to understand the systems-level effects of metabolites. Moreover, because of the inherent sensitivity of metabolomics, subtle alterations in biological pathways can be detected to provide insight into the mechanisms that underlie various physiological conditions and aberrant processes, including diseases.
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49
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Singh VK, Newman VL, Romaine PL, Hauer-Jensen M, Pollard HB. Use of biomarkers for assessing radiation injury and efficacy of countermeasures. Expert Rev Mol Diagn 2015; 16:65-81. [PMID: 26568096 PMCID: PMC4732464 DOI: 10.1586/14737159.2016.1121102] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Several candidate drugs for acute radiation syndrome (ARS) have been identified that have low toxicity and significant radioprotective and radiomitigative efficacy. Inasmuch as exposing healthy human volunteers to injurious levels of radiation is unethical, development and approval of new radiation countermeasures for ARS are therefore presently based on animal studies and Phase I safety study in healthy volunteers. The Animal Efficacy Rule, which underlies the Food and Drug Administration approval pathway, requires a sound understanding of the mechanisms of injury, drug efficacy, and efficacy biomarkers. In this context, it is important to identify biomarkers for radiation injury and drug efficacy that can extrapolate animal efficacy results, and can be used to convert drug doses deduced from animal studies to those that can be efficacious when used in humans. Here, we summarize the progress of studies to identify candidate biomarkers for the extent of radiation injury and for evaluation of countermeasure efficacy.
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Affiliation(s)
- Vijay K Singh
- a F. Edward Hébert School of Medicine 'America's Medical School' , Uniformed Services University of the Health Sciences , Bethesda , MD , USA.,b Armed Forces Radiobiology Research Institute , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
| | - Victoria L Newman
- a F. Edward Hébert School of Medicine 'America's Medical School' , Uniformed Services University of the Health Sciences , Bethesda , MD , USA.,b Armed Forces Radiobiology Research Institute , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
| | - Patricia Lp Romaine
- a F. Edward Hébert School of Medicine 'America's Medical School' , Uniformed Services University of the Health Sciences , Bethesda , MD , USA.,b Armed Forces Radiobiology Research Institute , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
| | - Martin Hauer-Jensen
- c Departments of Pharmaceutical Sciences, Surgery, and Pathology , University of Arkansas for Medical Sciences and Central Arkansas Veterans Healthcare Systems , Little Rock , AR , USA
| | - Harvey B Pollard
- a F. Edward Hébert School of Medicine 'America's Medical School' , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
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