A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes
Abstract 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 dis...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | Journal of Translational Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12967-024-06009-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823861657460277248 |
|---|---|
| author | Rubén Grillo-Risco Marta R. Hidalgo Beatriz Martínez-Rojas Victoria Moreno-Manzano Francisco García-García |
| author_facet | Rubén Grillo-Risco Marta R. Hidalgo Beatriz Martínez-Rojas Victoria Moreno-Manzano Francisco García-García |
| author_sort | Rubén Grillo-Risco |
| collection | DOAJ |
| description | Abstract 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. Graphical abstract |
| format | Article |
| id | doaj-art-8d88ce85c61043218ff0a206563f6971 |
| institution | Kabale University |
| issn | 1479-5876 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj-art-8d88ce85c61043218ff0a206563f69712025-02-09T12:52:34ZengBMCJournal of Translational Medicine1479-58762025-02-0123112010.1186/s12967-024-06009-6A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genesRubén Grillo-Risco0Marta R. Hidalgo1Beatriz Martínez-Rojas2Victoria Moreno-Manzano3Francisco García-García4Computational Biomedicine Laboratory, Principe Felipe Research Center (CIPF)Computational Biomedicine Laboratory, Principe Felipe Research Center (CIPF)Neuronal and Tissue Regeneration Laboratory, Principe Felipe Research Center (CIPF)Neuronal and Tissue Regeneration Laboratory, Principe Felipe Research Center (CIPF)Computational Biomedicine Laboratory, Principe Felipe Research Center (CIPF)Abstract 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. Graphical abstracthttps://doi.org/10.1186/s12967-024-06009-6Spinal cord injuryTranscriptomicsMeta-analysisBiomarkersFunctional profilingTranslational |
| spellingShingle | Rubén Grillo-Risco Marta R. Hidalgo Beatriz Martínez-Rojas Victoria Moreno-Manzano Francisco García-García A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes Journal of Translational Medicine Spinal cord injury Transcriptomics Meta-analysis Biomarkers Functional profiling Translational |
| title | A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes |
| title_full | A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes |
| title_fullStr | A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes |
| title_full_unstemmed | A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes |
| title_short | A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes |
| title_sort | comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes |
| topic | Spinal cord injury Transcriptomics Meta-analysis Biomarkers Functional profiling Translational |
| url | https://doi.org/10.1186/s12967-024-06009-6 |
| work_keys_str_mv | AT rubengrillorisco acomprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT martarhidalgo acomprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT beatrizmartinezrojas acomprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT victoriamorenomanzano acomprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT franciscogarciagarcia acomprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT rubengrillorisco comprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT martarhidalgo comprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT beatrizmartinezrojas comprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT victoriamorenomanzano comprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes AT franciscogarciagarcia comprehensivetranscriptionalreferenceforseverityandprogressioninspinalcordinjuryrevealsnoveltranslationalbiomarkergenes |