Aged‑garlic extract enhances global cognition
Bibliographic record
Abstract
An epidemiological link between nitrous oxide (NO)‑deficiency and Alzheimer disease has been established in preclinical models. Brain maps have revealed higher cerebral blood flow to areas of the brain involved with working or short‑term memory following the consumption of NO‑potent natural foods. However, aged garlic extract (AGE) may stimulate endothelial NO synthase in advance of reversing atherosclerotic plaques, which, in turn, increases NO bioavailability. The present study sought to evaluate whether AGE improves cognitive function. For this purpose, a total of 80 eligible subjects were enrolled in a prospective, randomized, placebo‑controlled clinical trial, with 72 subjects completing both the baseline and the 12‑week follow‑up visit. The mean age of the participants was 53.0±12.3 years with 45 (63%) subjects being female. The baseline characteristics, stratified by arm (AGE group, n=37 and the placebo group, n=35), of the study participants were well balanced. To assess cognition, the Montreal Cognitive Assessment (MOCA) tool was utilized. The primary endpoint was cognitive changes over the course of the study. At the conclusion of the trial, there were more patients with no cognitive impairment in the AGE arm (92 vs. 85%), similar numbers in the mild cognition arm (8 vs. 9%), and the placebo group had more patients with moderate cognitive impairment than the AGE group (6 vs. 0%). AGE had a significant effect on triglycerides; triglycerides in the AGE group decreased by 14.7 mg/dl and increased by 8.6 mg/dl in the placebo group (P<0.05). On the whole, in the present small study, AGE improved cognition and triglycerides. However, further larger studies with longer study durations are warranted to confirm these findings.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".