Utilidad predictiva de las transiciones del flujo sanguíneo cerebral en el ictus experimental

Área de la Ciencia:

• Neuroscience
• Preclinical research

Sus antecedentes:

• Predicting long-term outcomes in ischemic stroke models is crucial for developing new treatments.
• Reducing animal sample size and heterogeneity aligns with the 3Rs principle.

Objetivo del estudio:

• To assess the predictive power of early variables for long-term outcome in a rat model of ischemic stroke.
• To identify minimally invasive biomarkers for early risk stratification.

Principales métodos:

• Secondary analysis of 28 rats undergoing 90-minute middle cerebral artery occlusion (MCAO).
• Monitoring cerebral blood flow (CBF) and electrocorticography (ECoG) at 30, 60, and 90 minutes post-occlusion.
• Assessing infarct size after 72 hours and correlating with CBF and ECoG data.

Principales resultados:

• Both CBF and ECoG markers correlated significantly with cortical infarct volumes.
• The slope of CBF transients in response to spreading depolarization (SD) was the best predictor.
• The DC integral of ECoG was the best epidural biomarker, showing strong negative correlation with CBF.

Conclusiones:

• Early risk stratification in MCAO rat models is feasible using minimally invasive biomarkers.
• This approach allows for early identification of low-risk animals, reducing statistical distortion in neuroprotection studies.