Abstract Background Severe traumatic brain injury (sTBI) in children is a major cause of morbidity and mortality, yet its biology and prognostic indicators remain partially defined. Aptamer-based proteomics enables high-throughput characterization of molecular responses and may reveal biomarkers that improve injury characterization and outcome prediction. Methods In this prospective, repeated-measures case-control pilot study, we characterized temporal changes in the plasma proteome after pediatric sTBI and evaluated their relationship to short-term outcomes. Plasma samples from children with sTBI ( n = 24) were collected at 24- and 72-hours after injury and compared with healthy controls ( n = 4). Samples were analyzed using an aptamer-based assay measuring 1297 proteins. Principal component analysis, differential expression testing, and pathway enrichment were performed. Associations with Glasgow Outcome Scale – Extended, Pediatric Revision (GOS–E Peds) scores at hospital discharge and 3-months were examined. Results 634 proteins showed significant temporal changes, including established and novel biomarkers. Proteomic profiles diverged from controls, greatest at 72 hours. Age accounted for substantial variability within sTBI patients. Distinct protein panels predicted GOS–E Peds outcomes at discharge (R 2 = 0.84) and 3-months (R 2 = 0.88). Conclusion Temporally resolved plasma proteomics may identify evolving brain and systemic responses after pediatric sTBI that are associated with short-term outcomes. Impact Temporally resolved aptamer-based plasma proteomics reveal dynamic shifts in brain-specific and systemic signaling after pediatric severe traumatic brain injury (sTBI) and correlate with short-term neurologic outcomes. We identify 634 proteins with significant temporal changes, including both established and novel biomarkers, and show that age is a major determinant of proteomic variability in patients with sTBI. This study demonstrates the feasibility and clinical potential of high-dimensional proteomic profiling for biomarker discovery, molecular phenotyping, and potential for outcome prediction, informing future precision medicine approaches in pediatric neurocritical care.
Souza et al. (Thu,) studied this question.