| Literature DB >> 27392730 |
Zhidan Chen1, Stephen L Coy2, Evan L Pannkuk3, Evagelia C Laiakis3, Adam B Hall1, Albert J Fornace3,4,5, Paul Vouros6,7.
Abstract
Radiation exposure is an important public health issue due to a range of accidental and intentional threats. Prompt and effective large-scale screening and appropriate use of medical countermeasures (MCM) to mitigate radiation injury requires rapid methods for determining the radiation dose. In a number of studies, metabolomics has identified small-molecule biomarkers responding to the radiation dose. Differential mobility spectrometry-mass spectrometry (DMS-MS) has been used for similar compounds for high-throughput small-molecule detection and quantitation. In this study, we show that DMS-MS can detect and quantify two radiation biomarkers, trimethyl-L-lysine (TML) and hypoxanthine. Hypoxanthine is a human and nonhuman primate (NHP) radiation biomarker and metabolic intermediate, whereas TML is a radiation biomarker in humans but not in NHP, which is involved in carnitine synthesis. They have been analyzed by DMS-MS from urine samples after a simple strong cation exchange-solid phase extraction (SCX-SPE). The dramatic suppression of background and chemical noise provided by DMS-MS results in an approximately 10-fold reduction in time, including sample pretreatment time, compared with liquid chromatography-mass spectrometry (LC-MS). DMS-MS quantitation accuracy has been verified by validation testing for each biomarker. Human samples are not yet available, but for hypoxanthine, selected NHP urine samples (pre- and 7-d-post 10 Gy exposure) were analyzed, resulting in a mean change in concentration essentially identical to that obtained by LC-MS (fold-change 2.76 versus 2.59). These results confirm the potential of DMS-MS for field or clinical first-level rapid screening for radiation exposure. Graphical Abstract ᅟ.Entities:
Keywords: Biomarkers; DMS-MS; Differential mobility spectrometry; FAIMS-MS; Field asymmetric waveform ion mobility spectrometry; Gamma radiation; Human; Nonhuman primates; Radiation exposure
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Year: 2016 PMID: 27392730 PMCID: PMC5018447 DOI: 10.1007/s13361-016-1438-5
Source DB: PubMed Journal: J Am Soc Mass Spectrom ISSN: 1044-0305 Impact factor: 3.109