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2015 ; 184
(2
): 121-33
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Global Metabolomic Identification of Long-Term Dose-Dependent Urinary Biomarkers
in Nonhuman Primates Exposed to Ionizing Radiation
#MMPMID26230079
Pannkuk EL
; Laiakis EC
; Authier S
; Wong K
; Fornace AJ Jr
Radiat Res
2015[Aug]; 184
(2
): 121-33
PMID26230079
show ga
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 ? 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.