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Published on: January 3, 2025
Neuronal plasma biomarkers in acute ischemic stroke
Julia K Gundersen1,2, Fernando Gonzalez-Ortiz3,4, Thomas Karikari3,5
1Department of Neurology, Akershus University Hospital, Lørenskog, Norway.
Plasma biomarkers brain-derived tau (BD-tau) and neurofilament light (NfL) were elevated in acute ischemic stroke (AIS) patients compared to stroke mimics. BD-tau strongly correlated with stroke diameter, suggesting its clinical value for AIS outcome prediction.
Area of Science:
- Neurology
- Biomarker Research
- Neuroimaging
Background:
- Early detection of acute ischemic stroke (AIS) has improved, but outcome prognosis remains challenging.
- Blood-based biomarkers offer potential for improved prognostic information beyond established factors.
- Neuronal injury biomarkers, like tau and neurofilament light, are detectable in plasma and established in neurodegenerative diseases.
Purpose of the Study:
- To explore the association between stroke diameter and plasma biomarkers for neuronal injury and tau pathophysiology.
- To investigate the potential clinical value of plasma biomarkers in predicting outcomes after AIS.
Main Methods:
- Studied 193 patients diagnosed with AIS, transient ischemic attack, or stroke mimics.
- Measured plasma levels of brain-derived tau (BD-tau), phosphorylated-tau-217 (p-tau217), and neurofilament light (NfL).
- Assessed correlations between stroke diameter and plasma biomarker levels using linear regression.
Main Results:
- Plasma BD-tau and NfL levels were significantly higher in AIS patients compared to stroke mimics.
- Cortical stroke diameter showed a significant correlation with both BD-tau and p-tau217 levels.
- Linear regression identified BD-tau as the strongest variable associated with stroke diameter.
Conclusions:
- Plasma BD-tau and NfL levels can help differentiate AIS from stroke mimics.
- The strong association between BD-tau and stroke diameter suggests its potential utility in predicting AIS outcomes.
- Plasma BD-tau may serve as a valuable biomarker for clinical decision-making in AIS management.
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