The Impact of 5-Hydroxytryptophan Supplementation on Cognitive Function and Mood in Singapore Older Adults: A Randomized Controlled Trial
Bibliographic record
Abstract
Objectives: Concurrent with global aging epidemics, cognitive decline has become an increasing public health concern. Dietary supplementation may offer neuroprotective benefits, and 5-hydroxytryptophan (5-HTP) has gained interest due to its role in serotonin synthesis, thereby regulating cognitive function and mood. However, there is limited evidence on its effect on cognitive function, especially among older Asian adults. Therefore, the study aimed to investigate the effects of 5-HTP supplementation on cognitive function and mood in Singaporean older adults. Methods: This was a single-blinded, 12-week randomized controlled trial, and 30 participants (66 ± 3 years) were randomly assigned to consume 100 mg of 5-HTP daily or not consume it. Cognitive function and mood were assessed via the Montreal Cognitive Assessment (MoCA), Geriatric Anxiety Inventory (GAI), and Geriatric Depression Scale (GDS). Cognitive function-related blood biomarkers, including amyloid beta (Aβ)40, Aβ42, gamma-aminobutyric acid, and serotonin, were also determined. Results: A significant time effect was observed in the MoCA score, which was mainly explained by a significant increase in the 5-HTP group (week 0 vs. week 12: 26.6 ± 1.4 a.u. vs. 27.6 ± 1.4 a.u., p < 0.05). Moreover, the 5-HTP group showed a significant increase in serum serotonin levels. Additionally, the GDS score improved in the 5-HTP group (week 0 vs. week 8: 1.2 ± 1.7 a.u. vs. 0.7 ± 1.2 a.u., p < 0.05). However, no effects on GAI and other biomarkers were observed. Conclusions: 5-HTP supplementation can enhance cognitive performance and reduce symptoms of depression in Singaporean older adults, potentially through serotonergic modulation. However, given the relatively small sample size (n = 30) and short-term (12-week) intervention, these findings should be interpreted cautiously, and further long-term studies with a larger sample size are warranted to confirm these preliminary results.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".