Grillo-Risco, RubénHidalgo, Marta R.Martinez-Rojas, BeatrizMoreno-Manzano, VictoriaGarcía-García, Francisco2026-05-082026-05-082025-02-04https://riunet.upv.es/handle/10251/234993[EN] Spinal cord injury (SCI) is a devastating condition that leads to motor, sensory, and autonomic dysfunction. Current therapeutic options remain limited, emphasizing the need for a comprehensive understanding of the underlying SCI-associated molecular mechanisms. This study characterized distinct SCI phases and severities at the gene and functional levels, focusing on biomarker gene identification. Our approach involved a systematic review, individual transcriptomic analysis, gene meta-analysis, and functional characterization. We compiled a total of fourteen studies with 273 samples, leading to the identification of severity- and phase-specific biomarker genes that allow the precise classification of transcriptomic profiles. We investigated the potential transferability of severity-specific biomarkers and identified a twelve-gene signature that predicted injury prognosis from human blood samples. We also report the development of MetaSCI-app - an interactive web application designed for researchers - that allows the exploration and visualization of all generated results (https://metasci-cbl.shinyapps.io/metaSCI). Overall, we present a transcriptomic reference and provide a comprehensive framework for assessing SCI considering severity and time perspectives, all integrated into a user-friendly tool.Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)Spinal cord injuryTranscriptomicsMeta-analysisBiomarkersFunctional profilingTranslationalPrognosisArtículo10.1186/s12967-024-06009-6Abierto1479-587639905473PMC11796280