Scientific Challenge: Reliable biomarkers are needed to identify individuals at highest risk of mortality following acute radiation exposure and to improve medical triage after radiological or nuclear incidents.
Study Type: Radiation Metabolomics | Nonhuman Primate Model
Our Contribution: Nelson Scientific Labs performed longitudinal plasma metabolomic profiling using UPLC-QTOF mass spectrometry to characterize metabolic alterations in rhesus nonhuman primates following lethal total-body irradiation and identify molecular signatures associated with the preterminal stage.
Key Findings: Radiation exposure induced significant time-dependent disruptions in glycerophospholipid metabolism and steroid hormone biosynthesis, revealing metabolic signatures associated with progression toward lethality.
Research Impact: These findings advance the development of metabolomic biomarkers for radiation injury severity and support improved triage strategies during mass casualty radiological events.
Publication: https://doi.org/10.3390/metabo14010018