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.