Each experimental group of 20 rats received a single, whole-body dose; dose-experiments were conducted in different calendar months
Each experimental group of 20 rats received a single, whole-body dose; dose-experiments were conducted in different calendar months. number of ions excreted in excess over pre-exposure levels. Our results show both similarities and differences with the published mouse urine response and a dose- and time-dependent net decrease in urine ion excretion associated with radiation exposure. These findings mark an important step in the development of minimally invasive radiation biodosimetry. VAMP should have general Methasulfocarb applicability in metabolomics to visualize overall differences and trends in many sample sets. Keywords: Radiation, biodosimetry, bioinformatics == Introduction == Nuclear reactor complications in Fukushima resulting from the massive earthquake that occurred off the Pacific Coast of Japan in March of 2011 have served to remind us of how crucial it is that we expand and Methasulfocarb improve our ability to deal with large numbers of humans exposed to ionizing radiation (IR) (Christodouleas et al. 2011). The explosions that occurred at the Chernobyl reactor in Ukraine in 1986 released radioactive materials into the environment, resulted in 28 radiation-related deaths, and will likely be associated with long-term health effects that will only be known in time with diligent follow-up(Christodouleas et al. 2011). Further, our concern over the potential for hostile interests to deploy radiological weapons or improvised nuclear devices targeting civilian populations has increased dramatically in the past decade Dicer1 and has prompted the U. S. government to increase support for countermeasures research(Hafer et al. 2010). Among the most important need is rapid, high-throughput biodosimetry for accurately assessing radiation doses of large numbers of potentially exposed individuals to inform medical care (Grace et al. 2010; Hafer et al. 2010). The results presented here are from a study designed to extend the findings of earlier reports on radiation metabolomics using animal models (Tyburski et al. 2008; Lanz et al. 2009; Tyburski et al. 2009; Johnson et al. 2011; Khan et al. 2011; Tang et al. 2013; Zhang et al. 2014) and to further address the shortcomings of current radiation biodosimetry capabilities. We also provide a useful approach to visualize overall responses or changes in complex metabolomics datasets. Through the development of a novel visualization procedure, called Visual Analysis of Metabolomics Package (VAMP), we attempted to characterize the global urine metabolome response to radiation. Rather than analyzing specific biomarkers, VAMP allows for a holistic Methasulfocarb qualitative evaluation of the entire metabolome detected in a biofluid, which may potentially reveal global trends that traditional approaches may overlook. This novel methodology has revealed an overall increasing down-excretion of urine metabolites with increasing radiation dose. A variety of reports indicate that radiation metabolomics cam serve as a viable biomarker discovery platform for developing field-deployable biodosimetry through reports on (a) minimally invasive biomarkers, including several purine and pyrimidine metabolites, in the urine of mice and (b) the power of differential mobility spectrometry coupled with mass spectrometry (DMS-MS) for detecting specific target molecules in urine without the encumbrance of chromatographic separation as reviewed previously(Coy et al. 2010; Reisz et al. 2014). These accomplishments serve as proof of principle for measuring and defining urinary responses to radiation exposure in particular and exposure assessment in general (Roux et al. 2011). With a panel of five or more urine ions that are known to comprise a radiation exposure response in both a dose- and time-depend fashion, emergency response agencies may one day use portable DMS-MS or other deployable technology in the field for rapid radiation exposure assessment that informs medical triage decisions much sooner than current technology allows. A proposed strategy based on these experimental results for using urine biomarkers of radiation exposure with DMS-MS in field biodosimetry is reviewed by Coy and colleagues (Coy et al. 2011). In this study, we expand upon.