Diagnostic biomarkers of ischemic stroke: strengths and limitations across blood, urine, and saliva - Summary - MDSpire

Diagnostic biomarkers of ischemic stroke: strengths and limitations across blood, urine, and saliva

  • By

  • Begüm Utz

  • Pihla Miettinen

  • Ivette Bañuelos-Cabrera

  • Leonardo Lara-Valderrábano

  • Lasse Välimaa

  • Adrian Harel

  • June 17, 2026

  • 0 min

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Objective:

To summarize and evaluate the diagnostic biomarkers for ischemic stroke found in blood, urine, and saliva, with a focus on their molecular pathways and clinical utility in differentiating ischemic stroke from other conditions.

Approach:
    Key Findings:
    • Blood-based biomarkers are the most advanced, with glial fibrillary acidic protein providing high specificity for early stroke subtyping, making it a key focus for clinical application.
    • Many biomarkers for neuronal injury have slow kinetics or poor specificity, limiting their immediate utility in acute settings.
    • Emerging research indicates that brain-specific proteins can be detected in urine and saliva, but these methods lack validation in larger acute patient groups, highlighting the need for further studies.
    • No single biomarker or biofluid is currently sufficient for early ischemic stroke diagnosis, underscoring the complexity of stroke identification.
    Interpretation:

    Future progress in ischemic stroke diagnosis will likely depend on multi-marker strategies that integrate various biomarkers, standardized methods for testing, and early-timepoint sampling to improve diagnostic accuracy.

    Limitations:
    • Current biomarkers lack endorsement in clinical guidelines for routine stroke diagnosis, which limits their application in clinical practice.
    • The literature on urinary and salivary biomarkers is limited compared to blood biomarkers, indicating a need for more comprehensive studies in these areas.
    Conclusion:

    The review highlights the promise and limitations of current research on biomarkers for ischemic stroke diagnosis, suggesting that future research should focus on validating multi-marker approaches and expanding the evidence base for urine and saliva biomarkers.

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