Rutin (a bioflavonoid antioxidant) attenuates age-related memory deficits in mice
Bibliographic record
Abstract
Ageing and age-related neurodegenerative disorders, which are associated with free radical generation, may cause impairment of learning and memory in animals and human beings. Rutin, a bioflavonoid, is a potent free radical scavenger. Present study was designed to investigate the effect of rutin (30mg and 40mg/Kg i.p.) in 6, 9 and 12 months old mice and on sodium nitrite (75mg/kg i.p.) induced amnesia in mice. Rutin at a dose of 40mg, significantly decreased the escape latency time (ELT) during the acquisition trials for 4 consecutive days, and increased the time spent (TS) in target quadrant (TQ) in search of missing platform, during the retrieval trials on 5 th day. Rutin at a dose of 40mg, also significantly attenuated the increased ELT during the acquisition trials, and stimulated the mice to spent higher time in TQ for searching the hidden platform during the retrieval trials on 5 th day in aged as well as sodium nitrite treated mice. On the basis of these observations, it is concluded that rutin at a higher dose i.e. 40mg, improves learning and memory, and attenuates the age-related memory deficits and experimental amnesia possibly by its potent free radical scavenger or antioxidant property, atleast in mice.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".