Repeated resveratrol administration confers lasting protection against neuronal damage but induces dose-related alterations of behavioral impairments after global ischemia
Bibliographic record
Abstract
Resveratrol, a naturally occurring polyphenol, has been shown to protect the heart and brain against ischemic injury. The current study investigated the effects of administration with either a 1 or 10-mg/kg dose of resveratrol on CA1 neuronal injury and behavioral/cognitive impairments after 10-min global ischemia in rats. The open-field, eight-arm radial maze and object recognition tests served to evaluate effects of resveratrol treatment on ischemia-induced locomotor activity, and spatial and recognition memory impairments, respectively. CA1 and CA3 neuronal injury was assessed upon completion of behavioral testing, 85 days postischemia. A separate series of groups served to assess neuronal injury at 7 days postischemia. Global ischemia (10 min) led to approximately 50% CA1 cell injury, which was prevented at both short (7 days) and long (85 days) postischemic intervals by resveratrol treatment. Importantly, despite comparable neuronal protection, the two resveratrol doses showed distinct behavioral effects. Thus, the 10-mg/kg resveratrol dose led to an enhanced locomotor activity in the open-field 4-days postischemia and an impaired spatial memory in the delayed nonmatching to sample and delayed matching to sample radial-maze tasks initiated on day 13 postischemia. These findings suggest independent actions of resveratrol on distinct physiological systems mediating cellular survival and functional recovery and dose-related actions of the polyphenol on behavioral and memory processes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".