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  4. Early CSF Biomarkers and Late Functional Outcomes in Spinal Cord Injury. A Pilot Study

Early CSF Biomarkers and Late Functional Outcomes in Spinal Cord Injury. A Pilot Study

International Journal of Molecular Sciences, 2020 · DOI: 10.3390/ijms21239037 · Published: November 27, 2020

Spinal Cord InjuryBioinformaticsResearch Methodology & Design

Simple Explanation

This study investigates early biomarkers in cerebrospinal fluid (CSF) after spinal cord injury (SCI) to predict later functional outcomes. Researchers analyzed 60 molecules in CSF collected within 24 hours of injury and correlated them with clinical scores at hospital discharge and changes in scores during the observation period. The study identified 10 molecules correlating with clinical scores at discharge and 5 correlating with changes in clinical scores. This suggests these molecules could potentially serve as predictors of recovery or indicators of treatment effectiveness. The findings propose a methodology for identifying biomarkers that can predict outcomes and assess treatment effectiveness in SCI, suggesting potential targets for disease-modifying therapies using a "bed-to-bench" approach.

Study Duration
Not specified
Participants
9 patients (8 male, 1 female) with cervical or thoracic SCI
Evidence Level
Pilot study

Key Findings

  • 1
    MIP-1β, MIP-1α, MCP-1, IL-9 and IL-18 were positively associated with neurological level at discharge.
  • 2
    PDGF-AA, BDNF, t-TAU, and p-TAU positively correlated with light touch score at discharge, while IFN-α2, SCF, IL-13, and NSE showed negative correlations.
  • 3
    Motor score at discharge was positively correlated with p-TAU, t-TAU, NCAM, PDGF-AA, Cathepsin-D and BDNF and negatively correlated with MCP-1, MIP-1α, IFN-α2, IL-15, IL-8, IL-9, IL-6 and TNF-α.

Research Summary

This pilot study explored the potential of early CSF biomarkers to predict functional outcomes in spinal cord injury patients. CSF samples were collected within 24 hours of injury, and levels of 38 biomarkers were correlated with clinical assessments at discharge. The study identified several molecules that correlated with clinical scores at discharge and changes in scores during hospitalization. These findings suggest that early biomarker profiles may have prognostic value in SCI. The authors propose that this methodology could be useful for generating hypotheses about predictive and treatment effectiveness biomarkers. This could potentially lead to the identification of targets for disease-modifying therapies.

Practical Implications

Prognostic biomarkers

The identification of biomarkers that correlate with clinical outcomes at discharge could help clinicians predict a patient's recovery trajectory early after SCI.

Treatment effectiveness biomarkers

Biomarkers that correlate with changes in clinical scores during hospitalization could be used to monitor a patient's response to treatment and tailor interventions accordingly.

Disease-modifying therapies

The identification of potential biomarker candidates can help design disease-modifying therapies

Study Limitations

  • 1
    Small sample size (N = 9)
  • 2
    High individual variability of inflammatory reaction to trauma
  • 3
    Single CSF sampling time point (within 24 hours of injury)

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