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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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Sun L, Inaba Y, Kanzaki N, Bekal M, Chida K, Moritake T. Identification of Potential Biomarkers of Radiation Exposure in Blood Cells by Capillary Electrophoresis Time-of-Flight Mass Spectrometry. Int J Mol Sci 2020; 21:ijms21030812. [PMID: 32012663 PMCID: PMC7037449 DOI: 10.3390/ijms21030812] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 01/14/2020] [Accepted: 01/24/2020] [Indexed: 01/06/2023] Open
Abstract
Biodosimetry is a useful method for estimating personal exposure doses to ionizing radiation. Studies have identified metabolites in non-cellular biofluids that can be used as markers in biodosimetry. Levels of metabolites in blood cells may reflect health status or environmental stresses differentially. Here, we report changes in the levels of murine blood cell metabolites following exposure to X-rays in vivo. Levels of blood cell metabolites were measured by capillary electrophoresis time-of-flight mass spectrometry. The levels of 100 metabolites were altered substantially following exposure. We identified 2-aminobutyric acid, 2'-deoxycytidine, and choline as potentially useful markers of radiation exposure and established a potential prediction panel of the exposure dose using stepwise regression. Levels of blood cell metabolites may be useful biomarkers in estimating exposure doses during unexpected radiation incidents.
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Affiliation(s)
- Lue Sun
- Health Research Institute, Department of Life Science and Biotechnology, National Institute of Advanced Industrial Science and Technology (AIST), Central 6, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8566, Japan
| | - Yohei Inaba
- Course of Radiological Technology, Health Sciences, Tohoku University Graduate School of Medicine, 2-1 Seiryo, Aoba, Sendai, Miyagi 980-8575, Japan
- Department of Radiation Disaster Medicine, International Research Institute of Disaster Science, Tohoku University, Aramaki Aza-Aoba 468-1, Aoba-ku, Sendai 980-0845, Japan
| | - Norie Kanzaki
- Ningyo-toge Environmental Engineering Center, Japan Atomic Energy Agency, 1550 Kamisaibara, Kagamino-cho, Tomata-gun, Okayama 708-0698, Japan
| | - Mahesh Bekal
- Department of Radiological Health Science, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka 807-8555, Japan
| | - Koichi Chida
- Course of Radiological Technology, Health Sciences, Tohoku University Graduate School of Medicine, 2-1 Seiryo, Aoba, Sendai, Miyagi 980-8575, Japan
- Department of Radiation Disaster Medicine, International Research Institute of Disaster Science, Tohoku University, Aramaki Aza-Aoba 468-1, Aoba-ku, Sendai 980-0845, Japan
| | - Takashi Moritake
- Department of Radiological Health Science, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka 807-8555, Japan
- Correspondence: ; Tel.: +81-93-691-7549
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Chen C, Brenner DJ, Brown TR. Identification of Urinary Biomarkers from X-Irradiated Mice Using NMR Spectroscopy. Radiat Res 2011; 175:622-30. [DOI: 10.1667/rr2388.1] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Patterson AD, Lanz C, Gonzalez FJ, Idle JR. The role of mass spectrometry-based metabolomics in medical countermeasures against radiation. MASS SPECTROMETRY REVIEWS 2010; 29:503-21. [PMID: 19890938 PMCID: PMC3690279 DOI: 10.1002/mas.20272] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Radiation metabolomics can be defined as the global profiling of biological fluids to uncover latent, endogenous small molecules whose concentrations change in a dose-response manner following exposure to ionizing radiation. In response to the potential threat of nuclear or radiological terrorism, the Center for High-Throughput Minimally Invasive Radiation Biodosimetry was established to develop field-deployable biodosimeters based, in part, on rapid analysis by mass spectrometry of readily and easily obtainable biofluids. In this review, we briefly summarize radiation biology and key events related to actual and potential nuclear disasters, discuss the important contributions the field of mass spectrometry has made to the field of radiation metabolomics, and summarize current discovery efforts to use mass spectrometry-based metabolomics to identify dose-responsive urinary constituents, and ultimately to build and deploy a noninvasive high-throughput biodosimeter.
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Affiliation(s)
- Andrew D. Patterson
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Christian Lanz
- Institute of Clinical Pharmacology and Visceral Research, University of Bern, 3010 Bern, Switzerland
| | - Frank J. Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Jeffrey R. Idle
- Institute of Clinical Pharmacology and Visceral Research, University of Bern, 3010 Bern, Switzerland
- Address for correspondence: Institute of Clinical Pharmacology and Visceral Research, University of Bern, Murtenstrasse 35, 3010 Bern, Switzerland; ; Tel: +420 603 484 583; Fax: +420 220 912 140
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Tyburski JB, Patterson AD, Krausz KW, Slavík J, Fornace AJ, Gonzalez FJ, Idle JR. Radiation metabolomics. 1. Identification of minimally invasive urine biomarkers for gamma-radiation exposure in mice. Radiat Res 2008; 170:1-14. [PMID: 18582157 DOI: 10.1667/rr1265.1] [Citation(s) in RCA: 138] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2007] [Accepted: 01/23/2008] [Indexed: 02/02/2023]
Abstract
Gamma-radiation exposure has both short- and long-term adverse health effects. The threat of modern terrorism places human populations at risk for radiological exposures, yet current medical countermeasures to radiation exposure are limited. Here we describe metabolomics for gamma-radiation biodosimetry in a mouse model. Mice were gamma-irradiated at doses of 0, 3 and 8 Gy (2.57 Gy/min), and urine samples collected over the first 24 h after exposure were analyzed by ultra-performance liquid chromatography-time-of-flight mass spectrometry (UPLC-TOFMS). Multivariate data were analyzed by orthogonal partial least squares (OPLS). Both 3- and 8-Gy exposures yielded distinct urine metabolomic phenotypes. The top 22 ions for 3 and 8 Gy were analyzed further, including tandem mass spectrometric comparison with authentic standards, revealing that N-hexanoylglycine and beta-thymidine are urinary biomarkers of exposure to 3 and 8 Gy, 3-hydroxy-2-methylbenzoic acid 3-O-sulfate is elevated in urine of mice exposed to 3 but not 8 Gy, and taurine is elevated after 8 but not 3 Gy. Gene Expression Dynamics Inspector (GEDI) self-organizing maps showed clear dose-response relationships for subsets of the urine metabolome. This approach is useful for identifying mice exposed to gamma radiation and for developing metabolomic strategies for noninvasive radiation biodosimetry in humans.
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Affiliation(s)
- John B Tyburski
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland 20892, USA
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Hole SJ, Howe PW, Stanley PD, Hadfield ST. Pattern recognition analysis of endogenous cell metabolites for high throughput mode of action identification: removing the postscreening dilemma associated with whole-organism high throughput screening. JOURNAL OF BIOMOLECULAR SCREENING 2000; 5:335-42. [PMID: 11080692 DOI: 10.1177/108705710000500505] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Although whole-organism HTS can give clear indications of in vivo activity, typically few clues are given as to the mechanism of action (MOA), and determining the MOA for large numbers of active compounds can be costly and complex-an alternative approach is required. This report demonstrates that it is possible to conduct relatively high throughput MOA characterization of HTS hits utilizing a single sample preparation and analytical method. By monitoring a wide range of endogenous cellular metabolites via (1)H nuclear magnetic resonance spectroscopy, the MOA of herbicides can be predicted using computational methods to compare the metabolite perturbation patterns. Herbicides that induce a characteristic pattern of metabolic perturbation in maize include inhibitors of acetolactate synthase, acetyl co-enzyme A carboxylase, protoporphyrinogen oxidase, 5-enolpyruvylshikimate-3-phosphate synthase, and phytoene desaturase. In soya, photosystem II inhibitors can also be detected, further demonstrating that this method is not limited to inhibitors of enzymes that directly act upon endogenous metabolites, or a single species. The methods, including data analysis, can be readily automated, enabling relatively high throughput MOA elucidation of whole-organism screen hits. Additionally, for compounds with a novel MOA, this approach may lead to MOA identification faster than traditional methods. It is envisaged that application of these data analysis methods to other data types-for example, transcription (mRNA) or translation (protein) profiles-is likely to permit higher throughput with smaller sample requirements, along with ability to discriminate MOAs that are not adequately discriminated based upon endogenous metabolite profiles.
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Affiliation(s)
- S J Hole
- Zeneca Agrochemicals, Jealott's Hill Research Station, Bracknell, Berkshire, United Kingdom
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Ogborn MR, Bankovic-Calic N, Shoesmith C, Buist R, Peeling J. Soy protein modification of rat polycystic kidney disease. Am J Physiol Renal Physiol 1998; 274:F541-9. [PMID: 9530270 DOI: 10.1152/ajprenal.1998.274.3.f541] [Citation(s) in RCA: 23] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
We undertook a study to determine whether soy protein feeding would ameliorate renal injury in the Han:SPRD-cy rat model of polycystic kidney disease (PKD). Male offspring of Han:SPRD-cy heterozygotes received isocaloric diets based on 20% casein or 20% heat-treated soy protein at weaning ad libitum for 8 wk. Soy-fed animals demonstrated lower serum creatinine (66 vs. 125 mumol/l; P = 0.002), lower urinary ammonium excretion (0.080 vs. 0.173 mmol/kg; P = 0.01), reduced renal cysts (0.98 vs. 4.92 ml/kg body wt, P < 0.0001), renal fibrosis (0.79 vs. 1.4 ml/kg; P = 0.016), macrophage infiltration, renal tubular cell proliferation, and apoptosis. Proton nuclear magnetic resonance (1H-NMR) studies of urine demonstrated that soy diet was associated with increased losses of citric acid cycle organic anions. 1H-NMR of perchloric acid-extracted tissue found that levels of succinate were not depleted in soy-fed animals, despite increased urinary losses. Soy-fed animals had marked elevation of tissue betaine (P < 0.001), with reduced taurine and cholines, compared with casein-fed animals (P < 0.001). Soy feeding dramatically reduces both tubular and interstitial pathology in the Han:SPRD-cy rat model of PKD, through mechanisms that remain to be determined.
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Affiliation(s)
- M R Ogborn
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada
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