Scientific Challenge: Delayed radiation-induced cardiac injury lacks reliable non-invasive biomarkers for early prediction and clinical monitoring.
Study Type: Urinary Metabolomics | Lipidomics | Radiation-Induced Cardiotoxicity
Our Contribution: Nelson Scientific Labs analyzed longitudinal urinary metabolomic and lipidomic profiles from irradiated mouse models to identify molecular signatures predictive of delayed cardiac dysfunction.
Key Findings: Radiation altered multiple metabolic pathways related to energy metabolism, lipid metabolism, and oxidative stress, enabling the development of a multi-metabolite panel predictive of future cardiac injury.
Research Impact: This study demonstrates the potential of urinary metabolomics as a non-invasive approach for early detection of radiation-induced cardiovascular disease and supports precision monitoring of radiation survivors.
Publication: https://doi.org/10.3390/metabo13040525