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Document Type |
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Article In Journal |
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Document Title |
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Global Metabolomic Identification of Long-Term Dose-Dependent Urinary Biomarkers in Nonhuman Primates Exposed to Ionizing Radiation Global Metabolomic Identification of Long-Term Dose-Dependent Urinary Biomarkers in Nonhuman Primates Exposed to Ionizing Radiation |
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Document Language |
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English |
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Abstract |
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Due to concerns surrounding potential large-scale radiological events, there is a need to determine robust radiation signatures for the rapid identification of exposed individuals, which can then be used to guide the development of compact field deployable instruments to assess individual dose. Metabolomics provides a technology to process easily accessible biofluids and determine rigorous quantitative radiation biomarkers with mass spectrometry (MS) platforms. While multiple studies have utilized murine models to determine radiation biomarkers, limited studies have profiled nonhuman primate (NHP) metabolic radiation signatures. In addition, these studies have concentrated on short-term biomarkers (i.e., <72 h). The current study addresses the need for biomarkers beyond 72 h using a NHP model. Urine samples were collected at 7 days postirradiation (2, 4, 6, 7 and 10 Gy) and processed with ultra-performance liquid chromatography (UPLC) quadrupole time-of-flight (QTOF) MS, acquiring global metabolomic radiation signatures. Multivariate data analysis revealed clear separation between control and irradiated groups. Thirteen biomarkers exhibiting a dose response were validated with tandem MS. There was significantly higher excretion of l-carnitine, l-acetylcarnitine, xanthine and xanthosine in males versus females. Metabolites validated in this study suggest perturbation of several pathways including fatty acid β oxidation, tryptophan metabolism, purine catabolism, taurine metabolism and steroid hormone biosynthesis. In this novel study we detected long-term biomarkers in a NHP model after exposure to radiation and demonstrate differences between sexes using UPLC-QTOF-MS-based metabolomics technology. |
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ISSN |
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0033-7587 |
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Journal Name |
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Radiation research |
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Volume |
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184 |
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Issue Number |
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2 |
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Publishing Year |
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1436 AH
2015 AD |
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Article Type |
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Article |
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Added Date |
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Tuesday, April 26, 2016 |
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Researchers
| Evan L. Pannkuk | Pannkuk, Evan L. | Investigator | | |
| Evagelia C. Laiakis | Laiakis, Evagelia C. | Researcher | | |
| Simon Authier | Authier, Simon | Researcher | | |
| Karen Wong | Wong, Karen | Researcher | | |
| Albert J. Fornace Jr. | Fornace Jr., Albert J. | Researcher | | |
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