| Literature DB >> 33200940 |
Cong Xi1, Hua Zhao1, Xue Lu1, Tian-Jing Cai1, Shuang Li1, Ke-Hui Liu2,3,4, Mei Tian1, Qing-Jie Liu1.
Abstract
Rapid early triage and dose estimation is vital for limited medical resource allocation and treatment of a large number of the wounded after radiological accidents. Lipidomics has been utilized to delineate biofluid lipid signatures after irradiation. Here, high-coverage targeted lipidomics was employed to screen radiosensitive lipids after 0, 1, 2, 3, 5, and 8 Gy total body irradiation at 4, 24, and 72 h postirradiation in rat plasma. Ultra-performance liquid chromatography-tandem mass spectrometry with a multiple reaction monitoring method was utilized. In total, 416 individual lipids from 18 major classes were quantified and those biomarkers altered in a dose-dependent manner constituted panel A-panel D. Receiver operator characteristic curve analysis using combined lipids showed good to excellent sensitivity and specificity in triaging different radiation exposure levels (area under curve = 0.814-1.000). The equations for dose estimation were established by stepwise regression analysis for three time points. A novel strategy for radiation early triage and dose estimation was first established and validated using panels of lipids. Our study suggests that it is feasible to acquire quantitative lipid biomarker panels using targeted lipidomics platforms for rapid, high-throughput triage, which can provide further insights in developing lipidomics strategies for radiation biodosimetry in humans.Entities:
Keywords: UPLC−MS/MS; lipids; radiation biodosimetry; targeted lipidomics; triage
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Year: 2020 PMID: 33200940 DOI: 10.1021/acs.jproteome.0c00560
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466