A Model of Excitotoxic Brain Injury in Larval Zebrafish: Potential Application for High-Throughput Drug Evaluation to Treat Traumatic Brain Injury
Why this work is in the frame
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Bibliographic record
Abstract
Traumatic brain injury (TBI) is a leading cause of death and morbidity with no effective therapeutic treatments for secondary injury. Preclinical drug evaluation in rodent models of TBI is a lengthy process. In this regard, the zebrafish has numerous advantages to address the technical and time-dependent obstacles associated with drug evaluation. We developed a reproducible brain injury using glutamate excitoxicity in zebrafish larvae, a known initiator of delayed cell death in TBI. Glutamate challenge resulted in dose-dependent lethality over an 84-h observation period. We report significant decrease in locomotion (p < 0.0001) and mean velocity (p < 0.001) with 10 μM glutamate application as measured through automated 96-well plate behavioral analysis. Application of the NMDA receptor antagonist MK-801 (400 nM) or the calpain inhibitor, MDL-28170 (20 μM), resulted in significant recovery of locomotor function. A secA5-YFP transgenic line was used to visualize the localization of cell death due to glutamate exposure in vivo using confocal fluorescence microscopy. Our results indicate that zebrafish larvae exhibit responses to excitotoxic injury and pharmacotherapeutic intervention with pathophysiological relevance to mammalian excitotoxic brain injury. This system has potential to be applied as a high-throughput drug screening model to quickly identify candidate lead compounds for further evaluation.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it