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A Preclinical Model to Assess Brain Recovery After Acute Stroke in Rats
Published on: November 6, 2019
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Predicting experimental success: a retrospective case-control study using the rat intraluminal thread model of stroke
Lisa Liebenstund1, Mark Coburn1, Christina Fitzner1,2
1Department of Anesthesiology, University Hospital Aachen, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, D-52074 Aachen, Germany.
Disease Models & Mechanisms
|October 23, 2020
Summary
Accurate preclinical stroke models are crucial for research success. Peri-interventional monitoring of cerebral blood flow, heart rate, and mean arterial pressure can predict experimental success in transient middle cerebral artery occlusion (tMCAO) models.
Area of Science:
- Neuroscience
- Translational Medicine
- Experimental Surgery
Background:
- Preclinical stroke research has a low success rate in translating findings to clinical practice.
- Inaccurate animal models of stroke contribute to this translational gap.
- Transient middle cerebral artery occlusion (tMCAO) is a common model, but its reliability can be compromised by confounding pathologies.
Purpose of the Study:
- To identify predictors of experimental success in tMCAO models.
- To improve the reliability and reproducibility of preclinical stroke research.
- To establish criteria for successful ischemia induction without unintended complications.
Main Methods:
- Monitoring of bilateral cerebral blood flow (CBF), heart rate (HR), and mean arterial pressure (MAP) during tMCAO surgery.
- Analysis of monitoring data from animals with ideal outcomes (MCA-ischemia) versus those with additional pathologies (e.g., hemorrhage).
- Utilizing receiver operating characteristic (ROC) curves and area under the curve (AUC) to assess prognostic performance of various parameters.
Main Results:
- A decrease in contralateral CBF during MCA occlusion indicated unintended pathologies.
- Baseline HR and MAP were significant predictors of experimental success (AUC 0.89).
- Incorporating left and right CBF differences further improved prediction accuracy to AUC 1.00.
Conclusions:
- Peri-interventional monitoring is essential for verifying successful tMCAO experiments.
- Consistent monitoring ensures a more homogeneous and reliable stroke disease model.
- These findings can enhance the translational validity of preclinical stroke research.
Keywords:
Experimental quality assurancePeri-interventional monitoringRat modelStroke animal modeltMCAO
