ArticleScientific reports2016
The feasibility of in vivo imaging of infiltrating blood cells for predicting the functional prognosis after spinal cord injury.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation.Frontiers in neurology · 2025Article
- Exposure to an enriched environment modulates the synaptic vesicle cycle in a mouse spinal cord injury model.Scientific reports · 2024Article
- Neuroinflammation and Scarring After Spinal Cord Injury: Therapeutic Roles of MSCs on Inflammation and Glial Scar.Frontiers in immunology · 2021Review
- The acute phase serum zinc concentration is a reliable biomarker for predicting the functional outcome after spinal cord injury.EBioMedicine · 2019Article
- Pathological changes of distal motor neurons after complete spinal cord injury.Molecular brain · 2019Article
- Regeneration of Spinal Cord Connectivity Through Stem Cell Transplantation and Biomaterial Scaffolds.Frontiers in cellular neuroscience · 2019Review
- Potential immunotherapies for traumatic brain and spinal cord injury.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2018Review
- In Vivo Bioluminescence Imaging for Longitudinal Monitoring of Inflammation in Animal Models of Uveitis.Investigative ophthalmology & visual science · 2017Article
- The microenvironmental mechanism of postoperative recurrence in cervical spondylotic myelopathy: regulation by the glial scar-inflammation axis.Frontiers in neurologyReview
- Cytokine Profile As a Marker of Cell Damage and Immune Dysfunction after Spinal Cord Injury.Acta naturaeArticle
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After a spinal cord injury (SCI), a reliable prediction of the potential functional outcome is essential for determining the optimal treatment strategy. Despite recent advances in the field of neurological assessment, there is still no satisfactory methodology for predicting the functional outcome after SCI. We herein describe a novel method to predict the functional outcome at 12 hours after SCI using in vivo bioluminescence imaging. We produced three groups of SCI mice with different functional prognoses: 50 kdyn (mild), 70 kdyn (moderate) and 90 kdyn (severe). Only the locomotor function within 24 hours after SCI was unable to predict subsequent functional recovery. However, both the number of infiltrating neutrophils and the bioluminescence signal intensity from infiltrating blood cells were found to correlate with the severity of the injury at 12 hours after SCI. Furthermore, a strong linear relationship was observed among the number of infiltrating neutrophils, the bioluminescence signal intensity, and the severity of the injury. Our findings thus indicate that in vivo bioluminescence imaging is able to accurately predict the long-term functional outcome in the hyperacute phase of SCI, thereby providing evidence that this imaging modality could positively contribute to the future development of tailored therapeutic approaches for SCI.
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