Fish oil and treadmill exercise have age-dependent effects on episodic memory and oxidative state of the hippocampus
Bibliographic record
Abstract
There is a growing interest to better understand how lifestyle choices can improve memory functions. Treadmill exercise and long-chain n-3 polyunsaturated fatty acids found in fish oil are able to stimulate hippocampal antioxidant defenses and improve memory. The aim was to test whether fish oil and exercise can improve rat's performance on memory tasks and optimize hippocampal antioxidant state in an age-dependent manner. Therefore, young and adult rats were exercised and received fish oil during 4 weeks. The exercise was performed for 30 min/day, with the speed gradually increasing from the first to the last week. Afterwards, episodic memory was measured by the recognition of object identity and spatial location. Hippocampal oxidative state was investigated with the levels of malondialdehyde (MDA), carbonyls content, antioxidant enzymatic activity (superoxide dismutase (SOD), catalase (CAT)), and antioxidant nonenzymatic activity (reduced glutathione, sulfhydryl content). The adult rats treated with fish oil and exercise (FO&EX) were able to recognize object's shape and placement; however, FO&EX young rats had impaired spatial recognition (p < 0.05). The FO&EX young rats did not have reduced MDA or carbonyl content, though either fish oil or exercise reduced MDA (p < 0.05) and carbonyl levels (p < 0.01). Exercise increased SOD (p < 0.001) and CAT activities (p < 0.05), and fish oil enhanced SOD activity (p < 0.05) in young rats. At adulthood, exercise increased MDA levels (p < 0.05), and FO&EX reduced MDA (p < 0.001). Finally, exercise and fish oil improved nonenzymatic antioxidant defense (p < 0.05) only in adult rats. Results support age-dependent effects of fish oil and exercise on memory and oxidative state of the hippocampus during either neurodevelopment or adulthood.
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".