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April 24, 2026Biomedicine & Pharmacotherapy2 citationsOpen Access

Evolving role of biomarkers in spinal cord injury: From research to clinical translation

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SASyed Suhail AndrabiMSMichael P. SteinmetzVLVinod Labhasetwar

Key Points

  • The aim is to explore the role of biomarkers in spinal cord injury and their translation from research to clinical applications.
  • Reviewed preclinical and clinical studies on biomarkers relevant to spinal cord injury.
  • Analyzed biomarker profiles for early diagnosis and prognosis of recovery.
  • Evaluated artificial intelligence applications in interpreting biomarker data.
  • Multiple biomarkers linked to spinal cord injury are common across rodent and human studies.
  • Certain biomarkers can predict injury severity and functional recovery outcomes.
  • Artificial intelligence can enhance diagnosis and therapy prediction based on biomarker analysis.

Abstract

Spinal cord injury (SCI) triggers a complex cascade of cellular and molecular events at the lesion site, driving progressive degeneration of the spinal cord. This increases the level of disability over time and also significantly diminishes the prospects of recovery. SCI also causes systemic changes that affect overall physiology and function. In this context, biomarkers detectable in body fluids-such as blood, urine, and cerebrospinal fluid-that reflect lesion-site events and correlate with recovery outcomes are critically important. Biomarker analysis can be leveraged for: a) research and drug discovery; b) confirming target engagement of therapies or drug delivery systems; c) optimizing dosage or dosing frequency to maximize outcomes; d) serving as early prognostic indicators; and e) enabling patient stratification and adaptive clinical trial design. Our comprehensive analyses of preclinical and clinical studies show that multiple biomarkers are common to both rodent models of SCI and humans with SCI. Notably, these biomarkers appear earlier and remain elevated for a shorter duration in rodents than in humans. Importantly, several of these biomarkers can predict injury severity and functional recovery. Artificial intelligence-driven analysis and interpretation of biomarker profiles can further transform early diagnosis and prediction of therapeutic outcomes. This review summarizes the current status, key challenges, and future prospects of biomarker-based approaches in SCI research and clinical trial design to accelerate therapeutic development.

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Cite This Study

Andrabi et al. (2026) studied this question.

synapsesocial.com/papers/69eb07a4553a5433e34b3327https://doi.org/10.1016/j.biopha.2026.119389
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