Which Aspects of Stroke Do Animal Models Capture? A Multitracer Micro-PET Study of Focal Ischemia with Endothelin-1
Bibliographic record
Abstract
BACKGROUND: Cortical injections of the vasoconstrictor endothelin-1 (ET1) have widely been used to induce focal circumscribed ischemic lesions in the motor cortex of rodents in the context of stroke recovery studies. In order to apply this model correctly, it is essential to understand the time course of regional flow changes and of the development of penumbra and infarction. METHODS: Multitracer micro-PET of ET1 focal ischemia in rats was performed using [11C]-flumazenil ([11C]FMZ) as a flow- and viability tracer and [18F]-fluoromisonidazole ([18F]FMISO) as hypoxia marker in order to characterize the physiological time-course of this model. Nine adult Sprague-Dawley rats received stereotaxic injections of ET1 into the right primary motor cortex, 3 served as controls. PET imaging was started 2, 3 and 20 h after the last ET1 injection. Histology was obtained at the end of the scans. Standardized uptake value ratios reflecting cerebral blood flow (CBF), [11C]FMZ-binding and [18F]FMISO-retention were calculated for the region of hypoperfusion and the normoperfused cortex. RESULTS: CBF in the hypoperfused cortex was significantly reduced (p < 0.01) at 5 h (0.58 ± 0.025), 6 h (0.54 ± 0.043) and 23 h (0.66 ± 0.024) compared to controls (1.00 ± 0.011) and moderately reduced (p < 0.05) in the remainder of the affected hemisphere at 5 h (0.93 ± 0.036). [11C]FMZ-binding was within the control range at all time points. Significant [18F]FMISO-retention (1.16 ± 0.091, p < 0.05) was observed only after 6 h in the ischemic core that later turned into infarct. CONCLUSION: ET1 injections yield reproducible, slowly developing ischemic lesions with constant levels of hypoperfusion. This multitracer micro-PET study suggests that the ET1 model is appropriate for inducing chronic circumscribed ischemic lesions but seems to be less suited for studying acute stroke pathophysiology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".