2008
DOI: 10.1667/rr1265.1
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Radiation Metabolomics. 1. Identification of Minimally Invasive Urine Biomarkers for Gamma-Radiation Exposure in Mice

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 γ-radiation biodosimetry in a mouse model. Mice were γ-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-fligh… Show more

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Cited by 144 publications
(229 citation statements)
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“…Radiation metabolomics has shown the feasibility of metabolites as biomarkers for ionizing radiation exposure, suggesting that regulation profiles of metabolic processes have indicative potential. Recently, Johnson et al (33) identified several urinary biomarkers in nonhuman primates, among which taurine and xanthine had been identified previously in the mouse (34,35). In fact, responses in genes associated with taurine and xanthine metabolization were regulated in some instances (data not shown).…”
Section: Discussionmentioning
confidence: 96%
“…Radiation metabolomics has shown the feasibility of metabolites as biomarkers for ionizing radiation exposure, suggesting that regulation profiles of metabolic processes have indicative potential. Recently, Johnson et al (33) identified several urinary biomarkers in nonhuman primates, among which taurine and xanthine had been identified previously in the mouse (34,35). In fact, responses in genes associated with taurine and xanthine metabolization were regulated in some instances (data not shown).…”
Section: Discussionmentioning
confidence: 96%
“…These were then identified using authentic standards and tandem mass spectrometry. In another study, Tyburski et al used LC/MS metabolomics to study the response of mice to ␥-radiation exposure [37]. MarkerLynx was used for feature identification.…”
Section: Feature Finding and Prioritizationmentioning
confidence: 99%
“…However, in many cases it is not possible to separate sufficient quantities due to sample availability and/or complexity. In these cases, it is necessary to synthesize libraries of related hypothetical molecules and compare features (e.g., m/z, fragmentation masses, and method specific retention time) with the unknown metabolite [37,40].…”
Section: Current Approaches For Identifying Unknown Metabolitesmentioning
confidence: 99%
“…Recently, methods which analyse concentration changes in metabolites have also been applied to this problem, identifying biomarkers of radiobiological effect in various biological media (17)(18)(19). The vibrational microspectroscopy modalities (Raman and FTIR microspectroscopy (FTIRM)) are techniques that can rapidly and noninvasively measure the spatially-resolved chemistry of the cell (20) and of tissue (21) with minimal sample preparation.…”
Section: Introductionmentioning
confidence: 99%